fen
 -f£'"t
^T
            United States
            Environmental Protection
            Agency
Environmental Research
Laboratory
Corvallis, OR  97333
EPA/600/R-92/229

  November 1992
            Research and Development
                          HABITAT QUALITY ASSESSMENT OF TWO WETLAND
                        TREATMENT SYSTEMS IN MISSISSIPPI - A PILOT STUDY

-------
V.

-------
HABITAT QUALITY ASSESSMENT OF TWO WETLAND TREATMENT SYSTEMS

               IN MISSISSIPPI—A PILOT STUDY
                            By:

                    Lynne S. McAllister
          ManTech Environmental  Technology,  Inc.
         USEPA,  Environmental  Research  Laboratory
                    Corvallis,  OR 97333
                     Project Officer:

                     Mary  E. Kentula
           U.S.  Environmental  Protection Agency
           U.S. Environmental Protection Agency
             Environmental Research Laboratory
                    200 SW 35th Street
                   Corvallis, OR   97333

-------

-------

                            DISCLAIMER
The information in this document has  been funded wholly or in part
by the United States Environmental Protection Agency under contract
number 68-C8-0006 to ManTech Environmental Technology, Inc and 68-
C8-0056 to AScI Corporation, Duluth,  MN.  It has been subjected to
the  Agency's peer  and administrative  review,  and  it has  been
approved for publication as an  EPA  document.   Mention  of trade
names or commercial products does not  constitute  endorsement or
recommendation for use.
This document should be cited as:

McAllister, L.S. 1992.  Habitat quality assessment of two wetland
treatment  systems  in Mississippi  - A  pilot study.   EPA/600/R-
92/229.    U.S.   Environmental Protection  Agency,  Environmental
Research Laboratory, Corvallis, Oregon.

-------

-------
                             CONTENTS

DISCLAIMER  . „ . .	  ii

TABLES	   V

FIGURE	 vii

ACKNOWLEDGEMENTS  	  viii

EXECUTIVE SUMMARY	. .   x

INTRODUCTION  .	   1
     EPA Role	   1
     Assessing Wetland Function and Ecological Condition  . .   2
          Use of Indicators	   3
          Use of the Wetland Evaluation Technique 	 .   3
     Factors Affecting Habitat Quality  	   4
     Research Objectives  .... 	 .......   5

METHODS	   6
     Pilot Study Overview 	   6
          Site Selection	   6
          Assessment of Habitat Quality 	 . .   7
               Measurement of Indicators  	   7
               Evaluation of Ancillary Values Using WET ...   8
          Sampling Schedule  	   8
     Mississippi study  	 .  10
          Site Descriptions  .	10
          Field and Laboratory Methods	 .  12
               Site Characterization	  12
               Vegetation Sampling	  12
                    Transect establishment	 .  12
                    Cover estimation	13
                    Plant    specimen    preservation    and
                         identification	 .  14
               Invertebrate Sampling and Identification ...  14
               Whole Effluent Toxicity Testing  	  16
               Bird Use	  16
               Evaluation of Ancillary Values ........  17
          Site Morphology	 .  17
          Acquisition  and Use  of  Existing  Data  on  Water
               Quality	18
          Data Analysis	18
          Literature Review	21
          Quality Assurance	22

RESULTS AND DISCUSSION	25
     Summaries of Indicator Data	  25
          Vegetation	25
          Invertebrates	31

                               iii

-------
                                                                        _J


                                                                        V k
          Whole Effluent Toxicity Tests 	  41
          Bird Use	43
          Evaluation of Ancillary Values  	  50
          Site Morphology	51
          Water Quality	57

CONCLUSIONS AND RECOMMENDATIONS	  66

LITERATURE CITED	71

APPENDIX A.    Site maps and sampling points  ........  81

APPENDIX B.    Site contacts and local experts consulted  . .  85

APPENDIX C.    Invertebrate  Biologists  and  Identification
               Keys Used	 . .  88

APPENDIX D.    Water chemistry of  replicates  used for whole
               effluent toxicity tests  	  90

-------
                              TABLES

Table 1.  Names, locations, construction dates, and sizes of
          WTS sampled in the pilot study	   7
Table 2.  Indicators  of wetland habitat  condition measured
          during the 1991 pilot study .	   9
Table 3.  Pilot study field sampling schedule  ........  10
Table 4.  Cover types delineated on air photos  .......  18
Table 5.  Water quality data available from each site ....  19
Table 6.  Percent  of  the total  number  of plant  species on
          each  site and  average percent  cover per  square
          meter comprising  each  vegetation structural layer
          at the Collins and Ocean Springs sites, 1991   ...  26
Table 7.  Frequency of occurrence, average percent cover per
          square meter  ± standard  deviation,  and dominance
          indication  (*)  for each plant species  sampled at
          the Collins and Ocean Springs sites, 1991 	  28
Table 8.  Plant species richness at palustrine emergent non-
          WTS wetland sites  in  Georgia and  Florida,  1983-
          1990	30
Table 9.  Aquatic   invertebrate  taxa   and  their  relative
          abundances at the Collins and Ocean Springs sites,
          Mississippi, 1991	  32
Table 10. Number of invertebrates  collected per person-hour
          in  each  cell  at  the  Collins  and  Ocean  Springs
          sites	38
Table 11. Number of invertebrates  collected per person-hour
          in  each  habitat  type at the  Collins and  Ocean
          Springs sites	  38
Table 12. Relative  abundances  of  invertebrate  functional
          groups,   Collins   and   Ocean   Springs   sites,
          Mississippi, 1991	40
Table 13. Reproduction and survival of Ceriodaphnia dubia . .  41
Table 14. Measurements  on water samples  performed by  ERL-
          Duluth	41
Table 15. Mean number  of birds  of  each species per  survey
          (n=5)  and their relative  abundances in the summer
          and fall periods-Collins site	44
Table 16. Mean number of birds of each species per survey and
          their relative  abundances in the summer  and fall
          periods - Ocean Springs site	45
Table 17. Bird species richness  and density in Florida non-
          WTS palustrine wetlands	  47
Table 18. Waterfowl  and  wading  bird  richness  at  non-WTS
          palustrine  wetlands  in  Guntersville  Reservoir,
          Alabama, 1988	47
Table 19. Bird  species   richness   and  density   in   Lower
          Mississippi river borrow  pits  (non-WTS palustrine
          wetlands), Mississippi, 1983	  48
Table 20. WET ratings  for  the  Collins and  Ocean  Springs
          sites	  52
Table 21. Landscape data acquired from aerial photographs . .  54

-------
Table 22. Summaries of water quality data at the Collins and
          Ocean Springs sites	59
Table 23. Surface water quality  means  eind ranges values for
          Agrico  Swamp non-WTS  (reclaimed phosphate  mine,
          marsh and swamp habitat) and an open water area in
          a nearby non-WTS natural marsh in Florida, 1982 . .  61
Table 24. Surface water quality  mean values  from  Nags Head
          non-WTS marsh ponds, North Carolina, 1987 	  61
Table 25. Surface water quality  means  stnd ranges from eight
          Lower Mississippi River  non-WTS abandoned channel.
          and oxbow lakes	62
Table 26. Surface water quality mean values for non-WTS marsh
          sites in the Okefenokee Swamp	63
Table 27. Water  quality in created and  natural herbaceous
          non-WTS marshes near Tampa, Florida, 1988 	  64
Table 28. General relationship of  data from  the WTS studied
          to the range of values reported for non-WTS in the
          southeast United States  	  66
Table 29. Summary of indicator suitability	  70
                                vi

-------
                                                                      	lum ......*|
                              FIGURE
Figure 1.  Location  and general  design  of the  constructed
          wetland sites studied in Mississippi  .......  11
                               vii

-------

-------
                         ACKNOWLEDGEMENTS

     Numerous individuals contributed to the completion of this
research project, and, although I cannot list all of them, I am
greatly appreciative of their efforts.  I am especially grateful
to Jane Schuler, who served as half of the field team and worked
many long, difficult days in the field to complete data
collection on schedule, and to JoEllen Honea, who made a
substantial contribution to the final document by conducting
extensive literature searches, developing the computer data base,
performing all the data analyses, and preparing tables for the
report.

     Richard Olson served as the project leader and provided
guidance throughout the project.  Robert Bastian, Richard Olson,
and Robert Knight conceptualized the research approach and
initiated project planning.  I am grateful to Paul Adamus, who
provided a wealth of literature for supporting material, training
in the Wetland Evaluation Technique, and advice and guidance in
the planning and analysis stages of the project.  Arthur Sherman
provided important documentation on sampling and quality
assurance procedures.  Cindy Hagley, Debra Taylor, and Bill
Sanville at the EPA Environmental Research Laboratory in Duluth,
MN were very helpful in planning and preparing for the field
season.

     Janelie Eskuri received water samples from the field and
conducted whole effluent toxicity tests at EPA's Environmental
Research Laboratory in Duluth, MN.  Janelie Eskuri, Teresa
Norberg-King, and Lara Anderson prepared documentation of whole
effluent test methods and results, which were incorporated into
the final report.  Nan Allen at the University of Minnesota-
Duluth identified and enumerated all the invertebrates, prepared
documentation, and provided data for the final report.  Ann
Hershey conducted the data quality checks for invertebrate
quality assurance.  Brenda Huntley digitized cover types on
aerial photographs, conducted all the Geographic Information
System work, and prepared the site location maps.  Robert Gibson
and Ted Ernst wrote the data analysis programs and provided data
base and software operation support.  Kristina Miller assisted
with word processing and editing and prepared Figure 1.

     I thank the site managers - Bob Kami11 and V.O. Smith in
Collins, MS and Donald Scharr in Pascagoula, MS - for permission
to sample at their wastewater wetlands, for providing existing
water quality data, and for their cooperation throughout the
project.  I am grateful to Dr. Jean Wooten and Dr. Bill Dunn for
the time they saved the field crew by identifying collected plant
specimens.  Dr. Frank Moore, Jeffrey Clark, and Wang Yong at the
University of Southern Mississippi conducted bird surveys and
provided data and supporting documentation for the final report.
The time and effort spent by numerous individuals who contributed

                               viii

-------
data for use in the discussion are greatly appreciated.

     Hoke Howard, Robert Kadlec, and Robert Knight provided
technical review for the manuscript.  Kate Dwire and Ann Hairston
provided quality assurance and editorial reviews, respectively.
All reviewers provided constructive comments and suggestions for
the final draft.

-------
                        EXECUTIVE SUMMARY

     The use of wetland treatment systems (WTS), or constructed
wetlands, for treating municipal wastewater is increasing in the
United States, but little is known about the ability of these
systems to duplicate or sustain wetland functions.  The pilot
study was designed.to examine methods and the usefulness of
various wetland indicators for assessing the wildlife habitat
quality in six WTS sites throughout the United States.  This
report focusses on two of those sites, one located near Collins
and one near Ocean Springs, MS.

     Vegetation, invertebrate, site morphology, water quality,
and bird data were collected in the field or compiled from
existing data sets.  Various metrics were calculated as
indicators of wetland condition and assessed for their utility in
characterizing wildlife habitat quality.  Wildlife habitat
quality was assessed mainly with respect to birds.  Indicator
values were compared with ranges of values of the same indicators
from wetlands in the southeastern United States not used for
wastewater treatment (non-WTS).  Comparison data from non-WTS
were found in the literature.  Comparisons were meant to provide
a very preliminary examination of the wildlife habitat condition
of the two WTS studied by identifying any gross deviations from
indicator values from non-WTS.  In addition, whole-effluent
toxicity tests were conducted on influent and effluent water
samples from each WTS.  As an alternative to indicator analysis,
the Wetland Evaluation Technique (WET) was tested for its
effectiveness and reliability in assessing various wetland
functions, including wildlife habitat, in WTS.

     Comparisons of indicators for which data on non-WTS existed
showed that indicator values from WTS were generally within the
range of values found in non-WTS.  Bird density, biochemical
oxygen demand, and ammonia-nitrogen were above the range of
values reported for non-WTS.  The data suggest that the habitat
condition of the two WTS studied is not grossly different than
that of the general population of wetlands in the same region.
The preliminary results, however, do not indicate actual habitat
value because little is known about the habitat quality of non-
WTS used in the comparisons.

     In whole-effluent toxicity tests on Ceriodaphnia dubia,
there were no significant effects on survival or reproduction in
the Ocean Springs samples or the Collins effluent sample.
However, 100% mortality occurred in influent water samples from
the Collins site.  Survival of fathead minnows (Pimephales
promelas) was not significantly reduced in any samples.
Determining the precise cause of the mortality of Ceriodaphnia
and whether it is a risk to other forms of wildlife would require
further testing of water, sediment, or animal and plant tissue.

-------
     Results of this study provide evidence that the WTS studied
provide wildlife habitat as an ancillary benefit.  For future
assessment of wildlife habitat quality in WTS, it is recommended
that indicators from the following categories be further tested
and developed:
     o    vegetation
     o    invertebrates
     o    site morphology
Invertebrate sampling should be expanded to include benthic
invertebrates.  Bird use is one potential indicator of the faunal
component of a WTS, but further consideration should be given to
reduction of sampling effort, collection of more specific
metrics, and the direct relevance of bird use to wetland
condition.  Use of existing water nutrient data, whole-effluent
toxicity tests, and the WET analysis should be discontinued or
should have low priority.

     Water quality data is variable and difficult to interpret in
terms of wildlife habitat.  The collection of a smaller set of
nutrient parameters, including dissolved oxygen and ammonia
nitrogen, might be considered as part of field sampling (i.e.,
not acquired from existing data sets) to aid in interpretation of
other data collected.                                .

     Whole-effluent testing does not provide information on
effects to food chain function that may occur through
bioaccumulation or on effects on wildlife of specific substances.
Because documentation of effects is a long-term process and can
become very expensive, effort should be focussed on contaminant
testing of sediments and plant and animal tissues only in
selected higher risk wetlands (e.g., those that receive some
industrial inputs, where contaminants have been found in the
past, or where routine biological monitoring indicates a
potential problem).

     For comparing wildlife habitat quality of WTS to non-WTS,
future studies should include sampling at nearby reference sites
(non-WTS) so that confounding factors are minimized and
systematic comparisons can be made between WTS and non-WTS.  For
assessing the actual habitat quality of WTS, however, it is
necessary to establish some guidelines for rating habitat quality
on a continuum from high to low.  Data reduction and assessment
techniques, possibly including development of habitat quality
indices, should be explored in future studies so that various
indicators can be aggregated and conclusions about overall
habitat quality can be derived from more rigorous analyses.
                                xi

-------
                           INTRODUCTION

     Freshwater, brackish, and saltwater wetlands  often  serve  as
natural water purifiers for wastewater  from point  and  non-point
sources.  To take advantage of this purifying  function,  wetlands
are often built specifically to treat water.   Recent declines  in
federal funds allocated to municipal pollution control,  as well
as water pollution control mandates under the  Clean Water Act  for
both municipal and industrial point source dischargers,  have lead
              - -~ 4-vna. nonstruction of wetlands for treating
                              icted wetland treatment systems
                       .        are engineered  complexes  of
                  l^  ^V-J     ; and submergent  vegetation, animal
                    ~  o'
-------
the Nation's waters.  Discharges must meet requirements set in a
National Pollutant Discharge Elimination System (NPDES) permit
issued by EPA or a delegated state (Davis and Montgomery 1987).
Presently, WTS usually are not considered "waters of the United
States" (Bastian et al. 1989) and therefore discharges to these
systems are not regulated by EPA under the Clean Water Act.
However, discharges from WTS to waters of the United States must
meet NPDES requirements.  Therefore, EPA must evaluate the
capability of WTS to meet water quality standards under Sections
401 and 402 of the Clean Water Act.  In addition to water
quality, the general habitat quality and potential for risks to
wildlife by substances entering in wastewater are of concern to
the EPA (Davis and Montgomery 1987).

     The ecological condition and habitat quality of WTS is of
concern to the EPA because these systems attract wildlife and
cannot be considered isolated operations.  It is important for
the EPA to develop methods for assessing and monitoring the
ecological condition of WTS and to coordinate these methods with
methods used for natural, restored, and created wetlands.

Assessing Wetland Function and Ecological Condition

     Wetland treatment systems can duplicate structural aspects
of some natural wetlands, but little is known about the
replication of wetland functions.  Wetlands usually perform one
or more functions, depending upon their type, location, the local
geology, topography, and hydrology, and other characteristics of
the watershed.  Typical wetland functions include:  wildlife
habitat, recreation, nutrient and pollutant assimilation and
retention, detritus and dissolved nutrient and organic matter
production, reduction of downstream sedimentation, floodwater
retention, and groundwater recharge.  With the exception of
nutrient removal, wetland functions are normally considered
"ancillary", or supplemental in WTS because these systems are
designed for wastewater treatment and not necessarily for other
purposes.

     Wetland treatment systems can and do provide various
ancillary functions, but concerns exist about potential
contamination and effects on wetland ecological condition caused
by additions of wastewater (Godfrey et al. 1985, US EPA 1984,
Mudroch and Capobianco 1979).  The ecological condition, or
"health" of a wetland refers to its ecosystem viability,
sustainability, and ability to serve one or more functions.  A
"healthy" wetland exhibits structures and functions necessary to
sustain itself and is free of most known stressors or problems
(Rapport 1989, Schaeffer et al. 1988).

-------
Use of Indicators

     Ecological condition c%n be assessed and monitored on the
basis of various wetland attributes, or indicators.  Indicators
are attributes which can be measured and used to assess and
monitor ecological condition and to identify potential problems
or failures (e.g., eutrophication, low species diversity,
contamination, food chain malfunction).  Indicators can be.
measured or quantified through field sampling, remote sensing, or
analysis of existing data.  Many potentially valuable indicators
exist for assessing and monitoring a resource, but it is most
efficient to identify a suite of indicators that best describes
the overall condition of the resource.

Use of the Wetland Evaluation Technique

     Rapid assessment techniques are another option for
evaluating wetland ancillary functions and values.  One of these
techniques is the Wetland Evaluation Technique (WET) (Adamus et
al. 1987).  The evaluation is based on a computer analysis of
answers to yes/no questions about a wetland.  WET rates functions
and values in terms of social significance, effectiveness, and
opportunity.  WET evaluates these three parameters by characteri-
zing a wetland in terms of  physical, chemical, and biological
attributes, taking into account both internal, site-specific
attributes and characteristics of the surrounding landscape
(Adamus et al. 1987).  Social significance indicates the value of
a wetland to society based on its special designations, potential
economic value, and strategic location.  This assessment is
designed to determine whether the wetland has specific
characteristics that indirectly indicate it may be performing
functions and values beneficial to society.  Effectiveness
indicates the capability of a wetland to perform a function due
to its physical, chemical or biological characteristics.
Opportunity indicates the chance a wetland has to perform a
function based on inputs from the surrounding landscape (Adamus
et al. 1987).

     Ratings are based on the probability that the wetland serves
a particular function.  The following functions and values are
rated:

     Groundwater recharge
     Groundwater discharge
     Floodflow alteration
     Sediment stabilization
     Sediment/toxicant retention
     Nutrient removal/transformation
     Production export
     Wildlife diversity/abundance
     Wildlife diversity/abundance - breeding
     Wildlife diversity/abundance - migration

-------
     Wildlife diversity/abundance - wintering
     Aquatic diversity/abundance
     Uniqueness/heritage
     Recreation

     WET was designed primarily for conducting an initial, rapid
evaluation of wetland functions and values.  The method is not
intended to produce definitive ratings of wetland functions.  The
ratings represent only the likelihood that the functions are
present.  WET is intended to be used as a decision-making tool
that is only one piece of the wetland evaluation process, so it
does not replace the need for professional opinion and the use of
other evaluation methods.


Factors Affecting Habitat Quality

     Wetland treatment systems often provide wildlife habitat as
an ancillary function (Piest and Sowls 1985, Sather 1989).
Nutrient additions usually increase net primary productivity
(Guntenspergen and Stearns 1985) and promote waterfowl production
(Cedarquist 1979).  Alternatively, extremely high nutrients and
lack of variation in water depth can encourage establishment of
macrophyte monocultures with lower habitat value (Fetter et al.
1978, Kadlec and Bevis 1990).  Nutrient enrichment in eutrophic
and hypereutrophic systems can cause algal blooms, resulting in
highly variable dissolved oxygen concentrations and reduced light
penetration.  The latter condition greatly affects plant species
diversity and distribution, particularly of submergent species.
The species composition and extent of aquatic macrophytes can
affect the abundance and diversity of aquatic invertebrates
(Dvorak and Best 1982, Reid 1985, Voights 1976); subsequently,
plant-invertebrate associations influence use by waterfowl (Krull
1970, Teels et al. 1976).  Wetland morphology, location, and
hydrologic regime also interact to influence habitat quality.

     Wildlife use of WTS can expose animals to pollutants.
Although municipal discharges to wetlands are regulated by state
and federal agencies, and industrial discharges are not
recommended for WTS, occasional exceptions and/or violations of
regulations can result in at least temporary discharge of
potentially harmful substances to WTS.  Some organisms can be
affected through exposure, ingestion, or bioaccumulation of these
substances.  In some places, viral or bacterial diseases such as
avian botulism can be promoted by draw-downs and other hydrologic
manipulations.  Detailed information about potential effects of
wastewater on wetland animal communities, however, is lacking in
the literature (Brennan 1985).

-------
Research Objectives
                           *0 •     - ^V'-jj
     There have been no comprehensive, large-scale studies of the
ecological condition and wildlife use of WTS  (Bastian, personal
communication, U.S. EPA, Washington, D.C.).  Because the use of
WTS is increasing, knowledge of the ecological functions,
ancillary roles, and potential problems of these systems is
needed.  It is also important to assess the level of
sustainability of these systems as wildlife habitat over the long
term.

     This pilot study was designed as an exploratory effort for
examining research methods, indicators, logistics, and
capabilities.  It was designed as a preliminary assessment of the
wildlife habitat quality in WTS.  It was not intended to provide
probability samples to statistically characterize a defined
population of WTS.  However, many of the conclusions about
wildlife habitat quality drawn from the data collected can be
used to design future research on the ancillary values of WTS.

     The objectives of the study were to:

o    assess the utility of methods and indicators for evaluating
     the wildlife habitat quality of WTS,

o    identify any major differences in values of wildlife habitat
     indicators in WTS and non-WTS, and

o    provide baseline data and identify approaches for a more
     focussed follow-up project that will provide specific
     information for developing measures of the wildlife habitat
     quality of WTS.

-------
                             METHODS

     The pilot study included sampling and habitat quality
assessment at six WTS.  A general framework and study design was
used for" conducting work at all sites.  Pilot study results,
however, are reported in three separate EPA documents, each
dealing with two sites: 1) Mississippi sites (this report); 2)
Florida sites (titled Habitat Quality Assessment of Two Wetland
Treatment Systems in Florida—A Pilot Study); and 3) western
sites (titled Habitat Quality Assessment of Two Wetland Treatment
Systems in the Arid West—A Pilot Study).  This report presents
results from only the Mississippi sites.


Pilot Study Overview

     This section discusses activities concerning the design of
the overall pilot study, including selection of the six WTS sites
studied, the indicators chosen for measurement, and the field
sampling schedule.

Site Selection

     Six free water surface municipal WTS in the United States
were chosen for sampling in 1991.  The six sites, listed in Table
1, were chosen based on the following criteria:

     o    location in the arid and semi-arid West or the
          Southeast so that WTS in two different geographic
          and climatic regions of the country could be
          studied,

     o    representing a range of sizes,

     o    representing a range of ages and in operation for
          at least one year,

     o    the availability of water quality data for use in
          indicator analysis,

     o    permission to use the site, and

     o    interest of site operators and other groups in
          collaboration.

-------
Table 1.  Names, locations, construction dates, and sizes of WTS
          sampled in the pilot study.

Site name	Location	Year built     Sizefha1

Collins             Collins, MS              1987        4.47
Ocean Springs       Ocean Springs, MS        1990        9.28
Lakeland            Lakeland, FL             1987      498.00
Orlando             Orlando, FL              1987      486.00
Show LOW            Show LOW, AZ             1980      284.00
Incline Village     Incline Village, NV -    1985      198.00
Assessment of Habitat Quality

     Two general assessment techniques were evaluated for use in
assessing wildlife habitat quality as an ancillary benefit.
First, selected indicators of habitat quality were measured.
Indicator data were acquired in the field, from existing data
sets, and from aerial photographs.  Second, an evaluation of
wetland ancillary values, including function as wildlife habitat,
was performed at half of the sites sampled using the Wetland
Evaluation Technique (WET) (Adamus et al. 1987).  Habitat quality
was assessed mainly with respect to birds because birds were used
as a faunal indicator in the project.  More species of birds than
of mammals are wetland dependent, thus more literature exists on
wetland habitat requirements of birds than of mammals.  Many of
the habitat components necessary for birds are also beneficial to
mammals (e.g., cover extent and diversity, food resources, a
landscape habitat mosaic).


     Measurement of Indicators

     A suite of indicators was chosen for measurement at the WTS
sampled.  Indicators were selected based on the likelihood that:

     o    sample collection,  processing, and labor costs would
          not exceed budget constraints,

     o    data collection would not exceed available human
          resources,

     o    adequate data could be collected within the 4-5 days
          spent at each site,

     o    chosen indicators could be used to effectively
          characterize and evaluate wildlife habitat quality,

-------
     o    required sampling would minimize environmental impact,
          and

     o    variability of collected data would be low within site
          and consistent among sites.

Some of these criteria were unknown for some of the candidate
indicators.  One of the objectives of the study was to test the
indicators by determining their ease of measurement and the
quality of data obtained in relation to logistics involved in
collecting them.  Indicators chosen are listed in Table 2.  They
are grouped into one of three data source categories:

     o    data collected in the field
     o    aerial photographs
     o    existing data sets and records kept for each site.


     Evaluation of Ancillary Values Using WET

     The Wetland Evaluation Technique (WET) (Adamus et al. 1987)
was conducted at three of the six sites - Collins, MS, Ocean
Springs, MS, and Show Low, AZ.  The intent was to test its
utility in assessing wetland ancillary functions, including
wildlife habitat value.  WET was given low priority in the pilot
study, and limited time at some of the larger sites prevented its
completion.


Sampling Schedule

     Field data were collected during July and August, 1991.
Table 3 shows the field sampling schedule.
                                8

-------
Table 2.  Indicators of wetland habitat condition measured during
          the 1991 pilot study.


A.  Indicators measured in the field:

Ecological Component	Indicators	

Vegetation                    -Species composition and percent
                              coverage
                              -Structural diversity and dominance
                              -Species dominance
                              -Species richness

Invertebrates                 -Species and functional group
                              composition and relative abundance
                              -Species richness

Water                         -Whole effluent toxicity tests on
                              inflow and outflow

Birds                         -Density
                              -Relative abundance
                              -Species richness

B.  Indicators taken from aerial photographs:

Ecological Component 	Indicators	

Site morphology               -Wetland area
                              -Distance of land/water interface
                              in relation to wetland area
                              -Distance of edge between selected
                              cover types in relation to wetland
                              area
                              -Ratio of open water area to area
                              covered by vegetation
                              -Relative coverage of selected
                              vegetation types

C.  Indicators obtained from existing data sets:

Ecological Component	•	indicators	

Water                         -pH
                              -Dissolved oxygen
                              -Biochemical oxygen demand
                              -Total suspended solids
                              -Ammonia nitrogen
                              -Total Kjeldahl nitrogen
                              -Total phosphorus
                              -Fecal coliform bacteria

-------
Table 3.  Pilot study field sampling schedule.
Sampling location                     Dates

Incline Village, NV                July 8-12
Show Low, AZ                       July 19-23
Ocean Springs, MS                  July 30-Aug.
Collins, MS                        Aug. 6-9
Orlando, FL                        Aug. 14-19
Lakeland, FL                       Aug. 19-23
Mississippi Study

     The remainder of this document addresses only the
Mississippi portion of the overall pilot study.  This section
contains site descriptions, and field and laboratory protocols.


Site Descriptions

     The general locations of the Mississippi sites are shown in
Figure 1, and site design and arrangement of cells are shown on
site maps in Appendix A.  In addition, a management/operations
contact is given for each site in Appendix B.  Each site is
briefly described below.


Collins, MS.  The wetland, constructed in 1987, covers
approximately 4.47 ha (10 acres) and supports primarily marsh
vegetation.  It contains two cells separated by a dike.  The
wetland treats domestic wastewater, which has received pre-
treatment in an adjacent lagoon.  Water enters the constructed
cells and flows in a serpentine fashion around several dikes that
protrude into the wetland.  The first cell supports shoreline
emergent vegetation and duckweed (Lemna spp.), whereas the second
cell is heavily vegetated throughout with Scirpus spp.  Average
flow is 1514 m3/day (0.4 mgd).  Effluent meets water quality
standards for tertiary treatment and flows into the nearby
Okatoma Creek.

Ocean Springs. MS.  The site supports two separate WTS - Phase I
and Phase II.  Phase II was planted in late 1990 and did not
satisfy the criterion that the site be in operation for at least
one year.  Therefore site assessment was done only in Phase I.
Phase I contains 2 cells and covers 9.28 ha (22 acres).  The
wetland, constructed in 1990, was designed for tertiary treatment
of domestic wastewater from the town of Ocean Springs.

                                10

-------
                                       Collins, MS
                                      Ocean Springs, MS
Figure 1.   Location and general design of constructed wetland
          sites studied in Mississippi (Only Phase I of the Ocean
          Springs site is shown).
                              11

-------
Approximate flow is 3610 m3/day (0.95 mgd) .   The site supports
marsh vegetation, primarily monospecific stands of Typha. spp. and
Scirpus spp.  The WTS is located on the Mississippi Sandhill
Crane National Wildlife Refuge and is operated under a 20-year
memorandum of understanding between the Mississippi Gulf Coast
Regional Wastewater Authority and the U.S.  Fish and Wildlife
Service (Hardy 1989).


Field and Laboratory Methods

     This section describes the methods for all activities
conducted during the field season in July and August, 1991 (Table
3), as well as laboratory analysis of water and invertebrate
samples.  The activities described are:  site characterization;
vegetation, invertebrate, water, and bird sampling;  invertebrate
and water laboratory analyses; and evaluation of ancillary
values.  Indicators measured in the field or calculated are
listed in Table 2.


     Site Characterization

     Site characterization included gathering information about
the layout of the site and the distribution of major vegetation
types, photographing the major habitat types on site, and
recording wildlife species observed.

     The first task at each site was to drive and/or walk around
the entire site and along all interconnecting dikes to roughly
map the locations of major vegetation types, open water, bare
soil, roads, and rookeries visible from the dikes.  Coyer type
boundaries were delineated on available site maps.  This exercise
provided cover maps of dominant plant species to 1) verify air
photo interpretation, and 2) ensure that vegetation transects
could be sited representatively.


     Vegetation Sampling

     Vegetation sampling was determined to be the highest
priority task for the field study.  It included transect
establishment through major cover types at each site, cover
estimation at points along transects, plant specimen
preservation, and identification of unknown plants by local
botanists.  Data collected were used to calculate indicators
listed in Table 2.

     Transect establishment

     Transect placement required a great deal of judgement based
on the initial site survey and the distribution of vegetation

                                12

-------
types.  In general, the transects were placed:

     o    parallel to the gradient of wastewater treatment, so
          that data could be stratified by wetland cell

     o    through the major vegetation strata in each cell.
          Major strata were defined for this study as:  emergent-
          Typha, emergent-Scirpus, emergent-other dominant,
          emergent-mixed species, submerged, floating-leaved,
          scrub/ shrub, forested, and open water

     o    to intersect the dominant plant species represented
          within each stratum.

Wetland area, accessibility to vegetation sample points, and
configuration and size of plant communities were factors
considered when determining the length of individual transects
and the number of sample points along transects.

     At least two transects were established at each WTS site,
beginning at the influent end and continuing toward the effluent
end when possible.  Transects began at the wetland edge (i.e.,
where hydrophytic plants or hydric soils were present) and
extended into the wetland.  Upland habitats were not sampled
unless a transect intersected an island within the wetland.
Spacing of sampling points along transects depended on the length
of the transect, the size of the wetland, and the sizes of
vegetation patches along the transect.   We sampled at least 40
points per WTS.  Transect locations are shown on site maps in
Appendix A.

     Cover estimation

     Vegetation was sampled at pre-determined intervals along
transects.  One, two, or three plots were established at each
sample point, depending upon the structural types of vegetation
present.  A rectangular 1m2 quadrat was used for sampling
herbaceous vegetation (emergent, submergent, floating-leaved) ; a
5m2 rectangular quadrat was used for shrubs (0.5-6. 0m tail,
including tree seedlings and saplings) ; and a 10m radius circular
plot was used to sample trees (>12.5cm diameter at breast height
and £6m tall) .
     We recorded the scientific names for all species found
within each plot and estimated absolute percent cover of each as
close as possible to the following categories: 1%, 5%, 10%, 20%,
35%, 50%, 65%, 80%, 90%, 99%, or 100%.  The estimate was made of
the undisturbed canopy of all plant species that fell within the
plot, even if plants were rooted outside of the plot.  No effort
was made to adjust for discontinuities in the canopy of species
with open growth habits or in the coverage of small floating-
leaved species such as Lemna and Wolffia.  Because species can

                                13

-------
overlap each other, the sum of cover percentages often exceeded
100%.  The estimates included only vegetation that was visible,
so submerged species were often not recorded but were noted as
being present.   Both members of the field crew discussed cover
percentages for each species in each plot and together agreed on
an estimate.

     For herbaceous plots (1-m2), the strata was the cover type
that predominated in the plot.  Strata types were emergent-rypha,
emergent-Scirpus, emergent-other dominant, emergent-mixed
species, submerged, floating-leaved, and open water.  The strata
type for 5-m2 plots was scrub/shrub, and for 10m radius circular
plots was forested.  In addition, each species observed in plots
was assigned to one of the following structural types (or
layers):

     o    submerged
     o    emergent (or herbaceous)
     o    scrub/shrub
     o    forested
     o    floating-leaved
     o    dead.


     Plant specimen preservation and identification

     Unknown plants were collected, coded, and pressed for later
identification.  Professional botanists who identified unknown
plants are listed in Appendix B.


     Invertebrate Sampling and Identification

     A semi-quantitative dip-net sampling method was used for
collecting invertebrates.  Collection techniques were
qualitative, but the picking of invertebrates from nets was timed
so that the numbers of invertebrates could be expressed per unit
time and in relative abundances.   This approach has been used in
various forms to make general assessments and to determine
relative abundance of the taxa of aquatic insects (e.g., Herritt
and Cummins 1984, Tucker 1958, Smith et al. 1987, Brooks and
Hughes 1988, Jeffries 1989, Voights 1976).  This method was
chosen because the objective of the pilot study was to determine
richness and relative abundance of taxa found at the time of
sampling.  Study protocols did not require statistical
comparisons among sites or sampling points, so quantitative
samples per unit area were not necessary.  The semi-quantitative
net method requires less time, labor, and equipment and has been
shown to sample more taxa than quantitative methods such as
Hester-Dendy samplers and sediment cores (Wallace, personal
communication, Environmental Consultants, Gainesville, FL).
                                14

-------
     We used rectangular kick nets with #30 mesh.  Sample points
were distributed among the wetland cells and within major
vegetation strata.  Locations of invertebrate sampling points are
shown on the site maps in Appendix A.

     Two people sampled each cell/habitat simultaneously.  Effort
was divided between the two members by dividing areas to be
sampled in half.  Sweeps were made along the wetland bottom,
around plant stems, and along the surface where floating-leaved
species were present.  After several sweeps with a kick net in
one habitat, contents of the nets were placed into an enamel pan,
a timer was started, and invertebrates were picked out by hand or
with forceps.  Specimens were placed into 95% ethyl alcohol
preservative in prelabelled glass jars.  Each person picked
invertebrates for 30 minutes, which resulted in a 1-hour
collection period for each sampling point.  When all individuals
had been picked from the sample, the timer was stopped while a
new net sample was obtained.

     When sample densities were very high, a representative
proportion of each species in the nets was estimated and
collected to comprise the sample.  Thus, instead of spending
excessive time collecting every individual, more time could be
spent obtaining a new sample to try to obtain new species.

     Invertebrates were identified by biologists at the
University of Minnesota-Duluth  (Appendix C).  Collection jars
were emptied into a glass pan and sorted by life stage and
order/family.  Individuals were identified to family and genus
using a microscope and the taxonomic keys listed in Appendix C.
Each genus was placed into one of the following functional
groups: shredder, collector, predator, scraper, and piercer
(Merritt and Cummins 1984).  In some cases, Merritt and Cummins
list two functional groups for a genus so both were specified
when data were recorded.  All functional groups except piercers
are defined by Vannote and others (1980).  Merritt & Cummins
(1984) define piercers as insects that suck unrecognizable fluids
from vascular hydrophytes.  Functional groups were not assigned
to terrestrial invertebrates or to immatures that could be
identified only to family.

     Invertebrates of the class Oligochaeta (aquatic earthworms)
were keyed only to family based on external characteristics and
were counted by totaling the terminal ends collected and dividing
by two.  Functional groups were not assigned to Oligochaeta.
Chironomids were divided into groups based on external features.
A few individuals from each group were then mounted on microscope
slides for identification to genus.   The total count for each
genus was the total in the group.  Partial invertebrates were
counted if a head was present with the exception of snails for
which whole shells were counted regardless of whether the animal
was present.

                                15

-------
     Whole Effluent Toxicity Testing

     One-liter water grab samples were collected in plastic
cubitainers at the inflow and outflow of each wetland and shipped
on ice to the Environmental Research Laboratory in Duluth (ERL-
Duluth).  Samples arrived at the laboratory for acute and chronic
whole effluent toxipity tests the day after they were collected
(< 36 hours).  The purpose of the tests was to determine whether
toxicity is a problem at the sites studied so that it can be
examined in future studies.

     Upon arrival of water samples at ERL-Duluth, the following
routine measurements for whole effluent toxicity testing were
taken:  alkalinity, hardness, ammonia, total residual chlorine,
and temperature.  Standard laboratory operating procedures of the
National Effluent Toxicity Assessment Center (ERL-Duluth) were
used (US EPA 1988b).  Chronic toxicity tests were conducted over
a period of 7 days with renewal of test solutions every other
day.  Lake Superior water was used for a performance control, and
undiluted influent and effluent samples from the Mississippi
wetlands were tested.  Aliquots of each sample were slowly warmed
to 25° C prior to use.  Ceriodaphnia dubia (water flea)  six hours
old or less were obtained from the ERL-Duluth culture.  Ten
replicates for each sample and the control were used.  Each
replicate contained one organism in 15 ml of test solution in a
1-oz. polystyrene plastic cup.  Block randomization was used.
The Cer±odaphnia dubia were fed daily 100 uL of a yeast-
cerophyll-trout food mixture and 100 uL of algae, Selenastrum
capricornutum.  Initial measurements of pH, temperature,
conductivity, and dissolved oxygen were taken after each sample
was warmed and prior to each renewal.  The mean young produced
per original female and the mean percent survival were recorded
after seven days.

     Fathead minnows  (Pimephales promelas) 24 hours old or less
were obtained from the ERL-Duluth culture for acute tests.  Two
replicates for each sample and the control (Lake Superior water)
were used.  Each replicate contained ten fish in 15 ml of test
solution in a 1-oz. polystyrene plastic cup.  The test was -not
renewed and the fish were not fed.  The mean number of surviving
minnows was determined after 96 hours and expressed as a
percentage of the total at the beginning of the test.


     Bird Use

     Data on bird use of the wetlands were acquired from
surveyors from the University of Southern Mississippi (Appendix
B), who conducted systematic surveys weekly in 1991 during summer
(May 29-June 26) and fall (October 16-November 13).  Five surveys
were conducted during each period.  Counts were made from fixed
survey points which were chosen to maximize visual coverage of

                                16

-------
the wetlands.  Surveys began no later than 0730 Central Standard
Time.  For a 10-minute period at each survey point, all birds
within a 50-meter radius of tnthe poiftt were identified to species
and counted.  Double counting of the same individuals from
different survey points was avoided by placing survey points >
100 m apart and/or by mentally keeping track of, as much as
possible, which birds were already counted.  Counts included
birds within or flying immediately above the wetlands.  The
locations of survey points are shown on site maps in Appendix A.


     Evaluation of Ancillary Values

     The Wetland Evaluation Technique (WET) (Adamus et al. 1987)
was conducted to test its utility in assessing wildlife habitat
quality and other ancillary functions of WTS when applied in
conjunction with field sampling.  The WET evaluation was
conducted as the final component of field work at each site
because many of the questions require knowledge about the site
that can be acquired during sampling.  Many of the questions
should be answered in the field, while others require the use of
maps and soil surveys and consultation with local people familiar
with the region.  Two people answered the questionnaire together
so that questions could be discussed and answered most
accurately.  Site managers were consulted about questions that
could not be answered without additional knowledge of regional
physical, geographical, climatological,  and seasonal patterns.


Site Morphology

     Color infrared photographs were taken of each site in summer
1991 by a local aerial survey company (Appendix B).  One photo
was taken of the Collins site at a scale of 1:3600; three
overlapping photos were taken of Phase I at the Ocean Springs
site at a scale of 1:4200.  Photos were encased in mylar and the
major cover types at each site were hand delineated on the mylar
and labeled.  Delineation varied depending upon the plant
communities present and which ones could be consistently resolved
based on different colors, shades, and textures on photographs
and on ground truth mapping done during reconnaissance.  Table 4
lists the cover types delineated at each site.

     When vegetation was sparse but all of the same type, small
interstitial gaps in cover were ignored and the area was
delineated with only one polygon.  If two vegetation types were
distributed evenly over the same area, the polygon was labelled
as both types and the. area was counted twice.  This often
occurred when floating-leaved plants formed a solid cover over
the water surface within a sparse stand of Typha or Scirpus.
Therefore, the sum of the areas of different vegetation types at
a site can exceed the total vegetated area.  If floating-leaved

                                17

-------
Table 4.  Cover types delineated on air photos

     Collins	Ocean Springs
     Typha latifolia
     Scirpus californicus
     Alternanthera philoxeroides
     Polygonum punctatum
     Small floating-leaved
     Mixed emergents
     Open water
Typha latifolia
Scirpus validus
Pontederia cordata
Sagittaria lancifolia
Small floating-leaved
Open water
plants could not be seen on the photos due to dense growth of
overstory species, they were not included in polygons (even if it
was highly probable that they were present).  Polygons were
electronically digitised.  Data were entered into the ARC/INFO
Geographic Information System (GIS) and estimates were calculated
for the indicators listed in Table 2 (B).  Calculations are
described in the Data Analysis section below.


Acquisition and Use of Existing Data on Water Quality

     Under state and federal regulations, constructed wetland
operators are required to sample certain water quality parameters
to demonstrate compliance with standards set for discharge to
streams.  Managers at some sites acquire data beyond what is
required and most acquire data on influent to, as well as
effluent from, the wetland for their own performance records.
Water samples are collected 4-5 times per month from the influent
and 7-10 times per month from the effluent at the Ocean Springs
site and quarterly from the influent and effluent at the Collins
site.  Sampling schedules differ for the water parameters
analyzed, so the set of parameters is not the same for every
collection date.  Samples from the Collins site are analyzed by
Culpepper Laboratory in Jackson, MS; those from the Ocean Springs
site are analyzed by the Mississippi Gulf Coast Regional
Wastewater Authority Laboratory in Pascagoula, MS.  Data, from
Ocean Springs are from October 1990 through September 1991; those
from Collins are from December 1987 through June 1988 and, less
completely, from July 1988 through September 1991.  Table 5 shows
the parameters for which data were available at each site.


Data Analysis

     Vegetation, invertebrate, and site morphology data were
summarized for each wetland and for each cell within the wetland
by calculating descriptive statistics.  Analysis of data for each
cell was intended to show potential patterns in indicator values
                                18

-------
Table 5.  Water quality data available from each site.
          Ph=Ph (Standard Units); DO=dissolved oxygen (mg/L);
          BOD=biochemical oxygen demand (mg/L); TSS=total
          suspended solids (mg/L); NH3-N=ammonia nitrogen (mg/L);
          TKN=total Kjeldahl nitrogen (mg/L); TP=total phosphorus
          (mg/L); TFC=total fecal coliforms (# colonies per 100
          Ml) .


     Site                     Parameter

                    Ph   DO   BOD  TSS  NH3-N     TKN  TP   TFC

Ocean Springs       x    x    x    x    x         x    x    x

Collins             x    x    x    x    x              x*   x

*in the form of total phosphate


along a wastewater treatment gradient.  Bird counts were totaled
for each wetland and are not reported by survey point.

     Vegetation, invertebrate, and bird data were summarized
using the Paradox database system.  Programs were written in PAL,
a Paradox database programming language.  Water quality data
acquired from site managers were analyzed with the Statistical
Analysis System (SAS).  Air photo data were analyzed with the
ARC/INFO geographic information system.

     Water quality data from each site were summarized by
calculating the mean, range, and standard deviation for each
indicator (e.g., Ph, total P, etc.) from the inflow and outflow
points of the wetlands.  Water quality indicators were summarized
for all sampling dates included in the time frames specified in
the subsection Acquisition and Use of Existing Data on Water
Quality above.

     Vegetation data were analyzed for each site and for each
cell within a site.  Species richness was defined as the total
number of species sampled at a site.  Average percent coverage
for a given plant species was calculated by summing cover
estimates at all sample points and dividing by the total number
of sample points.  Structural diversity of vegetation was
evaluated by counting the number of structural layers present at
a site.  Structural dominance was assessed by 1) calculating the
average percent coverage of each structural layer per site and 2)
calculating the percentage of species sampled belonging to each
layer.  Dominant species were determined by ranking all species
at a site in descending order based on their average percent
coverage and then summing the average percent coverage values for
each species in order of the ranking until 50% was exceeded.  All

                                19

-------
species contributing to the 50% threshold and any additional
species with an average coverage of 20% or more were considered
dominants.

     Analyses on invertebrates were made by first totaling the
number of individuals of each species from each sampling point.
Relative abundance of invertebrate species was calculated by
totaling the number of individuals of each species and dividing
by the total number of individuals of all species combined.  The
percentage of total number of individuals belonging to each
functional group (percent relative abundance) was calculated
similarly.  The number of invertebrates collected per person hour
was calculated for each cell and habitat type.  Species richness
was defined as the total number of species collected at each
site.

     Counts of each bird species were totaled for all survey
points for the five surveys in each of the summer and fall
periods.  The average number of birds per visit during each
survey period was calculated for each species by summing the
totals for all stations and dividing by the number of visits
(N=5).  Calculation of an average count per visit eliminates
biases due to multiple counting of the same individuals in
successive weeks.  Species richness was calculated by totaling
the number of species detected during both survey periods.
Relative abundance of bird species for each site and survey
period was calculated by dividing the total counts of each
species from all survey points by the total number of birds
counted.  Average density was calculated by summing the average
number of each species per visit and dividing by wetland area as
calculated from aerial photographs using ARC/INFO.

     Indicators were calculated from physical habitat features
that had been digitized and entered into a GIS.  Calculations
were done for each entire wetland and for each cell within the
wetland as follows:
     o    Wetland area was measured as the area within
          surrounding dikes.
     o    Distance of the land/water interface is the total
          length of shoreline in a wetland and is a measure of
          shoreline irregularity or development; for this
          calculation, the area of floating-leaved plants was
          considered water.
     o    Length of shoreline (land/water interface) was divided
          by wetland area to normalize the shoreline irregularity
          estimate.
     o    Distance of cover/cover interface is the length of edge
          between cover types and is a measure of cover type
          interspersion.
     o    The length of edge between different cover types was
          divided by wetland area to normalize the estimate of
          cover type interspersion.

                                20

-------
     o    The area of open water  (no vegetation) was divided by
          vegetated area  (including?floating-leaved plants) to
          obtain an index of the relative amounts of the two
          cover types.
     o    Relative coverage of selected cover types (Table 4) was
          calculated by dividing the area of each cover type by
          the total wetland area.

     Survival and reproduction in whole-effluent toxicity tests
were tested against the controls using Dunnett's multiple t-test
for the chronic tests and a t-test for the acute tests.

     Answers to the questions from the WET assessment were
entered into a data set and run through the WET computer analysis
to classify a wetland according to function (Adamus et al. 1987).
The result was an assignment of a qualitative probability rating
of high, moderate, or low to each function in terms of social
significance, effectiveness, and opportunity.  Results were
interpreted qualitatively, using descriptions of interpretation
in the WET manual as guidelines (Adamus et al. 1987).  The
evaluation of social significance normally consists of two levels
of assessment.  Level 2 is an optional step to refine the
probability rating for uniqueness/heritage.  It was therefore
recommended that only level 1 be completed for this study
(Adamus, personal communication, ManTech Environmental
Technology, Inc., Corvallis, OR).


Literature Review

     The indicator values obtained from the two WTS were compared
to data from rion-WTS obtained from the literature to put the
information from WTS in the context of what was known about
wetlands in the region.  Comparison data were obtained for plant
species richness, percent cover, invertebrate genera richness,
surface water quality, and bird species richness.  The two groups
of data were compared to get a preliminary idea of where the
indicator values for WTS lie in relation to the range of
indicator values from other types of wetlands.  Data from
palustrine systems, primarily marshes, in the southeastern United
States were used for comparisons.  Comparison wetlands were
natural, created, restored, and enhanced.   No further attempt was
made to match comparison sites to the WTS sites studied.
Comparisons were intended to be very broad and preliminary and to
identify gross differences in indicator values between WTS and
non-WTS.

     Comparison data were obtained from published documents and
personal communication or records from the southeastern United
States.  A library search produced a few journal articles and
agency reports, but many published reports did not contain the
detailed data required for summarizing the indicators of

                                21

-------
interest, and it was difficult to find data on many specific
indicators.  Therefore, regional scientists and resource managers
were contacted directly and asked to provide relevant data.


Quality Assurance

     Three types of indicator data were used during this study:
(1) data collected in the field (vegetation, invertebrates, bird
use, whole-effluent toxicity); (2) data derived from maps and
aerial photographs (site morphology); and (3) existing data
(water quality) (Table 2).  Laboratory analytical data quality
procedures and data quality objectives (DQOs) for whole effluent
toxicity testing were based on the ERL-Duluth Quality Assurance
Plans and Standard Operating Procedures (US EPA 1988b).  Quality
assurance information was not available from bird surveyors.
However, the same procedures were used at both sites.

     At all vegetation plots, both members of the field crew
discussed cover percentages for each species in a plot and
together agreed on an estimate.  Precision and accuracy were
assessed for identification and percent cover estimation of
plants so that, in case the team members had to identify or
estimate percent coverage separately, the quality
assurance/quality control (QA/QC) exercises would indicate the
degree of precision and accuracy in estimates.  Because solo work
was unnecessary during the 1991 field season, all estimates were
made by both crew members together.  Evaluation of QA/QC data was
therefore unnecessary and was not done.  However, the procedures
for collection and evaluation of QA/QC vegetation data are
discussed below.  It is recommended that the QA/QC exercises
continue to be part of future field work so that, in the event
that crew members must work alone, a record of the precision of
data collected will be available.

     The following procedures were used to collect and evaluate
QA/QC vegetation data.  At 10% of sampling plots a QA/QC check
was performed to determine how similarly the two field crew
members were estimating percent coverage and identifying species.
The decision to make a plot a QA/QC plot was usually made while
sampling the plot just before it.  Each person had a data sheet
and estimated cover percentages separately without any
interaction with the other crew member.  Percent cover precision
was computed by calculating the mean difference between percent
cover values recorded by two team members for each jointly
recorded species  (i.e., recorded by both team members in the same
plot).  For each team member, percent cover estimates were summed
across all QA/QC plots, by species, for each species that was
jointly recorded.  Mean percent cover estimates for each species
and team member were derived by dividing the percent cover sums
by the number of QA/QC plots in which each species was jointly
recorded.  The mean difference was simply the difference in the

                                22

-------
mean percentages for each team member.  Cover precision for the
site was the mean precision for all?species.

     Data QA/QC was also performed in the laboratory at
University of Minnesota-Duluth to check the precision and
accuracy of the identification and counts of invertebrates.
Contents of 10% of the sample jars (of sites combined) were re-
identified and recounted by a second person.  Subsequently,
discrepancies were resolved through discussion and comparison of
results obtained using different keys.  Invertebrate
identification comparability represents the number of taxa both
people jointly observed and identified during the QA check.  It
was computed for each QA/QC sample jar by calculating the ratio
of invertebrate taxa jointly observed to the total taxa observed
and multiplying by 100.  To compute count comparability for each
QA/QC sample jar, the percent relative difference between the two
people for each jointly recorded taxon was computed by
subtracting one person's count from the other's and taking the
absolute value.  This value was then divided by the mean of the
two counts, and the result was multiplied by 100.  The percent
relative difference was then subtracted from 100 to obtain count
comparability.  The mean percent count comparability was then
calculated for the whole QA sample jar.  Count and identification
comparability for a whole site were obtained by calculating the
means of all QA/QC sample jar means.

     The mean identification comparability for invertebrates was
94.0%, and the mean count comparability was 99.0%.  The values
meet the data quality objectives of ^85% established prior to the
study for identification and count comparability.  As previously
mentioned, all vegetation percent cover estimates were made by
both crew members, so evaluation of QA/QC data was not necessary
in this study.

     Quality assurance procedures were not used to evaluate the
precision or accuracy in the identification, delineation, or
digitizing of habitat types on aerial photographs.  The
reconnaissance portion of field work included vegetation mapping,
which served as the best guide and accuracy check for delineation
of cover types on aerial photos.  One of the field crew members
delineated cover types on all photos so that precision was
maximized.

     Existing water quality data were evaluated to determine the
usefulness of water quality variables as indicators, not to draw
conclusions about constructed wetland performance or to use the
data in subsequent analyses.  Standard operating procedures and
quality assurance procedures were obtained from the laboratories
that analyze water samples collected at the constructed wetland
sites.  It was decided, however, that a careful inspection of the
data and quality assurance procedures was not necessary for pilot
study objectives.  Criteria for assessing data quality had not

                                23

-------
been developed, and the process would have been very time-
consuming.  Data were intended to be used regardless of
laboratory protocols and measurement consistency among testing
labs.  Results of water quality analyses suggested that water
quality should probably not be continued as an indicator of
constructed wetland condition.  One reason for this is that the
effort and difficulty involved in collecting necessary
information from each water lab and assessing data quality and
consistency among labs would probably be too cumbersome for
future studies.  Because future studies could involve statistical
comparisons, precision and consistency in collection and analysis
methods are important and would be difficult to achieve using
existing data sets.
                                24

-------
                      RESULTS  AND DISCUSSION

     Summary data are presented separately for each indicator
group for each WTS.  Results from the Ocean Springs site are for
Phase I only.  Discussion addresses 1) indicator and WET
suitability for future research, 2) wildlife habitat quality,
based primarily on comparisons to non-WTS data from the
literature, and 3) recommendations for follow-up studies.  It is
recognized that study methods (e.g., sample design and
intensity), wetland size, and various other factors confound
comparisons with literature data.  Comparisons, however, are used
simply for establishing a context for making general postulations
about the ecological condition of the two WTS studied and for
generating hypotheses for future research.

Summaries of Indicator Data

Vegetation

     Plants sampled at the Collins site belonged to three
structural layers: emergent, floating-leaved, and dead.  Those at
the Ocean Springs site belonged to four different layers -
emergent, scrub/shrub, floating-leaved, and dead.  The
scrub/shrub component, however, was very small (1% average
coverage per square meter) (Table 6) and probably does not
contribute significantly to wildlife habitat value.  Floating-
leaved vegetation was the most dominant structural layer at both
the Collins and Ocean Springs sites, but the emergent layer had
the highest species richness  (Table 6).  The dead category at
both sites was composed primarily of persistent emergent
vegetation (Scirpus and Typha).  Dead vegetation was considered
in this study because it can contribute cover for waterfowl or
nesting habitat for passerines that is different from that
offered by live plants of the same species.

     Emergent and floating-leaved plants were interspersed
throughout the Ocean Springs WTS, but structure above the water
surface was relatively uniform.  At the Collins site, some
structural diversity existed, but structural types were not well-
interspersed.  Cell 1 consisted primarily of open water, Lemna
spp. and Alternanthera philoxeroides, while cell 2 consisted of
robust Scirpus californicus and small floating-leaved species.
Most of the non-dominant species were located on the periphery of
the wetland.  Wildlife use of a habitat for nesting and cover is
usually considered to be more dependent on the structure of
vegetation than on the species of vegetation (Beecher 1942,
Weller and Spatcher 1965, Swift et al. 1984).  Well-interspersed
vegetation structures are often associated with high diversity
and abundance of wetland-dependent birds.  Complex plant zonation
results in an increase in the number of niches available for
breeding birds (Swanson and Meyer 1977, Weller 1978, Dwyer et al.
1979, Ruwaldt et al. 1979, Roth 1976).

                                25

-------


C
Q) 4J
O O • -
M 0) C C
QJ ,C O
ft4J CU-H
0) 4J 0) «J
G^ co ^ i ^ •
co co ft
M M C Cr>  >i'H > JH
H CO -3 >
rrj .p CO O
CrH 0) CO
(0 cO CP*O C
MO) co
0 3 > h O
•P -P O
•H O *O  04J
ft O W
W ^ •
O H W CO
•P  0) O
C &-I-H M CO
Q) )H CO
H4J ft ft C
CO 0) CO CO
-PS Q) O
O C fi
4J QJ CO 53 Q)
MO) On
Q) CO Q O cfl
M T> * >
O M CO CO O
0) G
4J ft 10 -H -p
C CSC
0) ^4-H p 0>
O 0)H 0) O
CO O O W CO
P4 O O tJ CW

t
vo
a)
A
CO
«M
e
^,
OJ
^
o
0

£
0)
o

Q)
O
0)
G
CO

>
*3<
(N

^1
0)
^H r** ^j* K*
... o
CO G\ CO 0
^ t*" n
+1 +1+1 C
0)
VO O> t*- O
CM CO H Jbj
0)
P
a)

2
0)




0\ O ^i VO
• . l» .
IO N f) >
co co ra

+1 +1 +| +|
o\ co H in
CO O OJ
rH

















0
w
0)
0 -H
4» 0
•H 0)
a p
ra
a
0  p
a o)

M 
0 U
O SH
O <1)
EM








CM VO If,) 1
C^ H 1


















W
QJ
cd
rH

H
cd
3
jj
O

CO
M
•O 0)
0) >
>. «J
SrH

H rH
1 (0
C C 3
CO-H 4J
G>-P O
r) CO "O P
fl) O J8 M
S rH 0) -P
W fe Q CO

|


A
rH 3
C C «i

tn-P jaT
M RJ 3 -O
SrH 0 
-------

     A structural component that is absent at both sites is
submerged vegetation, which ;usually provides habitat for fish and
invertebrates, which in turn are eaten by waterfowl and wading
birds.  The numbers and weights of macroinvertebrates per unit
weight of macrophyte are positively related to the amount of
surface area available as a substrate and the degree of leaf
dissection (Krull 1970, Dvorak and Best 1982, Biochino and
Biochino 1980).  Floating-leaved plants at the WTS serve as
habitat and substrate for fish and invertebrates to an extent,
but substrate  area is limited to the surface layer of the water
column.

     The particular species of plants are important when
considering wildlife food preferences.  Plant species sampled at
each site and  their average percent coverages per square meter
are listed in  Table 7.  Average percent coverage estimates of
plant species  at the Ocean Springs site are likely to be slightly
high because deepwater areas between subcells where no plants
grew were not  sampled (see Appendix A).  Standard deviations of
average percent cover are high due to patchiness in species
distribution,  which often results in highly variable cover
values.  The interspersion and patchiness of plant species,
however, can enhance wildlife habitat.

     Dominant  species at both WTS were primarily floating-leaved
species (Table 7), which are an important food item for many
species of waterbirds.  Also dominant at the Ocean Springs site
were Typha latifolia and dead emergents.  Scirpus californicus
and dead emergents (composed primarily of Scirpus) were dominants
only in cell 2 at the Collins site, but their percent coverage
values for the whole site were also quite high - 19% and 17%,
respectively (Table 7).  Typha and Scirpus are important as cover
for many species of birds but are consumed by few species of
wildlife.  All other species at both sites had average coverages
of 8% or less.

     Species richness (the number of species sampled) was 13 at
the Collins site and 19 at the Ocean Springs site.  For
comparison, Table 8 shows species richness for several non-WTS
marshes in Georgia and Florida.  The numbers of plant species
range from 9 to 68.  In addition, plant species richness in 25
non-WTS Lower Mississippi River borrow pits ranged from 65 to 196
for the period 1981-1983 (Buglewitz et al. 1988).  Brown (1991)
reported plant species richness for 18 created and natural non-
WTS in Florida in 1988; values ranged from 13 to 93 species.
Species richness values from the WTS studied are generally at the
low end of the range of the data compiled for non-WTS sites in
the southeast region.  The species of plants that can survive on
a long-term basis in WTS is often dependent on varying tolerances
to eutrophication (Hartog et al. 1989) and permanent flooding
(Farnez and Bookhout 1982, Sjoberg and Danell 1983).   In
addition, native and perennial species,  especially grasses and

                                27

-------
                 <*»
0) O C to •
JCJ M -H 0) O 0)
•P (Q -H > 0)
'CJ Oi t3 O & ^ »G
M -P 0) Q) O .C-P
(0 nJ Q) J4 fti-H
T3 10 C 10 0) C -P
C *d O (0 • fl  r-H U 0) D W m
W ft C -P fl (0 IQ m
B 0) 0) fl Q) 15 0)
+| fl M £5 0) -H W
fc W .C O> O -H Q> £
0) 10 -P 0) -H ft
4J o) .p n ,a 4J 0 0 ft
0) ft fl O fl 5-i C E
M 10 W CM fl) -H fl
tO 0) C tO N 10 10
•5.P-H O fl) -P
o1 C O }-i C O O 10
H ft Q) O H C
M ft w > w ft -a -H
0) O 0) Q) T3 O
Q. rj jj Q Jyi Q) ^ 0) O<
O C «J H C O
MRS(aa)bft3OsSS-p
O 5-1 B -P O tQ 5-1 -H
OOOftSO W C 0) tO
 
Q
4J
a> -o
U4J
fe w
U)
ft 1

tt» +
&
§^
i< 0)
S
o
0 U

* * *
















rHvo^cMt^r^cncooin vo co in »*
OCMt^CMt-IOCMinCMOO in O VO CO
r-\ CO rH CO  O B  10
£4 •^•^    O^ W          3  &
0) *   . 0)  O 4J 0) 0) C  C
O'-'H >^3  C
^    cn    a  a>
o c en  (0 iH
        eX> -H ft O    1C  C
        O  U    O -P -P  (C
        in  o o)    (d  o  o)
            ftjCj 4J   -P  O
> C tO W       fl) Q) 0)
10-H    5-1  >i 03 O tn.C  0)
      M -H  C-H 5-1 (U EH J3
 - o CT>-i   -P
0) U C       fl) ft 0)
O C -H Q)  W  Q .. >  _• -P
S c
           H a) cno o
   H CO    ft 5-1 (t)    tT"CM
   B    0)    5-4 5-i -P n3 in
dOCU   ^3 0) C M


O T3 U  ft'O O    5-1 O  (0
   C O  S 5-1       fl) O
«W (0    O O i C (0  10 C >i 0) O-H  (0
U O    0)-H O M    ft
C-H M  Ci-0 C 0) g ftW
   -H H
         M  0)  5
         0)  O  &
 0)
rH
fl
 (0
EH
a
fl
•H
r-H
H

S
                                        0)
                                        Q)
                                           U
                                          O
                                                     CJ
                                                              in CM
                                     in <*
                                       CM
                                                                               CM
                                    H r» Tj«
                                    •* a\ CM
                                                                                                          0\
                                                                                                          CM
                                                         (Q
                                                        •H
                                                        •H-H
                                                         *Q M
                                                         CJ Q)
                                                      ft c;
                                                      a  to
                                                         to
              ^

               E
               0)
                          ^  <0
                            •P
                          §§
                 §?
           E2    3  O
           3    -U-H
           +> B <8  CS
           OJ 3 -P  5n
           •P-P O  O
           « ^3  W  -  -  .   .
c -H o  3  qripHft<£X|tO
03  «J  &>
Ci,a>,
   tQ
    (0
    (0
    id
 «  M
•H  O>

"S-o

-------

            o
            G
            (C
            c
           •H
            Q
                                                                        *  *  *
   •H
   a
   w
   tn
   •H

   I
   a
   o
   o
   o
.p
c
0)
o
fl) .
Cno

£ O
a) o
   a)
u  c
§2
         0)  U
         b  U
         fa  O
                                             in o o> H n vo H

                                             HTj''*oaiino
                                                        H OJ
                       HHOOtOHOOHHOCOCaO
                                                          OJ
                                                               o r- a\
                                                                •  •   •
                                                               n o\ t-»
                                                               ** n r>

                                                               +1 +1 +1

                                                               <* vo n
                                                               IO (N O)
                                                          o\ co r»
                                                           •  •  •
                                                          r* M o
                                                          M

                                                          +1 +1 +1

                                                          in o o
                                                       CM vo
                                                                           in
                                                                                        eo
•8
 g
•H

I
 U
 (1)
iH
   to
   Q)
  •H
   O
   0)
   o
  CO
                       c
                       CQ
                      VH
                      tQ
                     •H  «}

                      (0  §


                      §"S
 to
I
 3«
                                                  (0
                                                  •H
              3 (0
        1
        D
                   •H «8 <0
                   <8 O-H
                                       B S
PO
     •Stl

     , o"H
                    to
                    10
                    (0
                                i-H«H 0)

                                '§"-P
                                                                                             g 3
                                                                                             A h
                                                                                             3 O
                                                                                             CO CO
                                                        29

-------
   8
CO
                     CD


                     •c

                     a>

                     (3
                     (0

                     a>
                                             in
                                             CD
                                             o>
                                 8
                                 m

                                 1
                                             lil
                                    X
                                    DC

                                    <*


                                    (5

                                    .2*

                                    (D
                                    o
                                    o>
                                    a>


                                    i

                                    1
Si
8
                     S
                     CO
                     o>
00

O)
                                             CO
             0)

            I

             i
            CO
                           O>
                                 CM
            (O

            CM
                                                (O    O)
                                                i-    CM
                                                      CO

                                                      (O
                                1
      OU_    U_    U-
      ^^^   ^^^   ^^^
                                                                                      §



                                                                            ,       I
                                                                         CO


                                                                         o
CO

Q>
             co
         .2


         1
         o.
o

0)
.2


1
Q.



1
.2
J2

to
^c

3
                                        8
                                        cc
                                              a.
                                 CO

                                  o
                                  o
CO    -5

I    I
*    *
                         •8

                         1
                         Q.
Hook
                                -

                               1
                               CD
                                                                   o
                                                                   o
                                             30

-------
sedges, may be replaced by more aggressive exotic, clonal, or
annual species (commonly Typha, Scirpus, Sagittaria, and
Pontederia) when areas are permanently flooded  (e.g., Botts and
Cowell 1988, Mclntyre et al. 1988).  Both of the WTS studied are
eutrophic and permanently inundated, which might limit the number
and species of plants that can persist.  In addition, water depth
at the Collins site is approximately 0.8-1.0 m through most of
the wetland; banks are quite steep and the substrate is a firm
clay.  These factors can inhibit the establishment of seeds, the
propagation of clonal species, or the aeration of roots of many
species.

     Vegetation is one of the most significant components of
wildlife habitat.  It is directly and indirectly related to
wildlife habitat quality and is a major component of most free-
water surface WTS.  It has also been used frequently to
characterize wetlands and habitat conditions and is often
recommended as a wetland monitoring indicator (e.g., Aust et al.
1988, Brooks et al. 1989, Brooks and Hughes 1988, Brown et al.
1989, US EPA 1983, Sherman, personal communication, J.D. White
Company, Vancouver, WA).  Sampling methods are well-developed,
and sampling can be completed during one visit to a wetland.  The
continued use of indicators of vegetation for the assessment of
habitat quality in WTS is recommended.  Because structural
diversity is an important component of wildlife habitat quality,
future work could include development of methods for quantifying
structure, particularly within the emergent category, which is
usually dominant in WTS.  Evaluation of habitat quality should be
based to a lesser extent on plant species richness alone.
Species richness, however, is an important component of
quantifying the overall value of plant species to wildlife at a
site.
Invertebrates

     Five person-hours was spent sampling invertebrates at the
Collins site, and eight person-hours were spent at the Ocean
Springs site.  The total number of invertebrates collected was
1011 (202.2 per person-hour) at the Collins site and 3220 (402.5
per person-hour) at the Ocean Springs site.  Thirty taxa were
collected at the Collins site, and 50 taxa were collected at the
Ocean Springs site.

     Dominant insect orders were Hemiptera at the Collins site,
and Hemiptera and Diptera at the Ocean Springs site (Table 9).
The Hemipterans consisted primarily of immature Belostomatidae
(25.4% of the site total) at the Collins site and Trichocorixa
(31.7% of the site total) at the Ocean Springs site.  Dipterans
at the Ocean Springs site were comprised primarily of Tanypus
larvae (19.6% of the site total).  Also abundant were
Coleopterans, which consisted primarily of Tropisternus at the
Collins site (13.7% of the site total) and Suphisellus at the
Ocean Springs site (11.6% of the site total).  Dominant non-
insect taxa were Oligochaeta, family Tubificidae, which comprised

                                31

-------
C
(0 H in
Q) W (8 0
O (0 C
0 !5 0 0
•H
•d TJ 4J C
COO KJ
ffj ill* C« rt
o a 4J
w a) &
CH M
•H H 10
HO* fl)
H O >l-P H
0 HO
O W Q) 0)  M-H
O4J-H C
ft  CT3
O C •» <8 Q)
C-H tO 'O
OS 0) •» C
•d•* M I*
> 3-rl-H
•H C M 0)
_u o. ». r>
•f-1 W4 ^ w
«JH WH C
H nj (tf (8
0) -P C -H TJ
H O (0 M C
B a> -p 3
M o w JQ
-H O Q) (8
w • . W
X3 H tj w Q)
4J m c a) >
0\ (8 4-»'H
•OH 4J
C 10 M (8
(0 «. C O H
•H -H  -P CJ fl) 4->
C -H <*> ^ (8
•H 10 0) ^
•O ^ ft
O W C 0)
'•M H*^ fttj
(8-H ^« & O
0^ j^)i ^^ L4 C
nfl CO H &-H
O)
a)
H
fO




r























0
8
s 8
CO L. L.L.C.L.L. r-L.L.t.L.^
59 o o o o o o ip o o o o i- c_
wE S ^5555 ig •§ -S ^ •§ " "
5 t. UL.t.L.L. jE t- l_ l_ l_ .r- M-
U. & tXQ.ILCLQ> COQ.Q.Q*IXfi.^





*«M»-m
•g-g o o *



MJ C|
£ 21 '*" *~ 5SM'^5Q
w "1 ^

2
8



Tg u
"*" 5
V : -,§l ^
— 1 «J a a "^ > — m ^ S?l . S
O *J Xw*" ** J§ , 3 — — §1 ^
1 1 ?5jsirf ?HiiiW
s site- i- «,La3=-ll-j|s
V -g 1 W 1 €» § 8) 5 « • • • • S
I 2 i1;1^?1!^ Its =
-> BL. g • S ' M- *J L. 0  «> ca i- 4J ^- vafia w o -- o 9.
o— • w iu TI C U»- 1-
e J> o u a.-' <- « o.<-> i- . >•
S _j *3 v Em u xzzw -• o u o z
S o i - 5



























L.
o -8
^ v
8 £
- -s
o ^
C. O L. L.
O t. •x l_ 1. l_ L. OOL.
WOL.OOOO 4J *J O

*O 1- .^ 1. l_ 1. L. *O*OI-







vt (M O ^ in b- M M 
-------
            L. «_

            8.8.
            o ai
          t- L. t.

          O O O  L.
          4J «J 4J  O
          O O O  t-
          CJ U U  O.
                                   L.    U.
                                   o    o
                                   V    *•>    OOOOOOOOO    O  O O
                                   O    O    ^ 4J 4J 4J ^ ^ i * [ • ^ ,   |L  |^ ?J


                                   -    ±    ll?lll-p-pf    p  P-?
                                   _,    _,    OJCC0SSO0S    9  5 *
                                   O    O    1.1-L.l.l.l.l.C.t.    U  L. U.
                                   U    U    0.0.0.0.0.0.0.0.0.    O.  Q. O.
    0) 0)

   .> |
    4)
    o:.
   X
»- N. O>   «- CM


Q CM m   OO
                                            o    o    rg«^  —• t-

.Q.3«    t=«5  g
                         •s-
ill  III
i!
                              *o 3
                              c a
                                            I
                                            £
                                              3*  .***!
                                              ss  ?s-5g.
                                              i
                                                 s
                                                              I I  I  I
                                      -
                                 «.£  it;
                                 -5 e  6 S
                                 os  •&«
                                 u    ui
                                               2    s
                                               J    !
                                               Su    3
                                               i!    i
                                                                          ...
  I  "
  2  .
  s  »
sl  3
585
*l  fe
                                           33

-------
   !§
 S2S
 III
                                                                    I
                                                   Si.  ILl-sl.
                                                   OOL.L.OOOOL-L.
                            4J 44 +•• 4>i 4>i Q) -M 4J 4) O V O *^ U ** ^ 4^ *^   O O *^ *^ O O O O -M 4^
                            -S-g-g-g-SS-S-SSiiU^-Sa-S-S-Sfl   «*-g-S555«-S5
                               w
                                         ) "^ CJ ^^ v 4)
   $«
         «-o oo
          • • •  •
         NO O O
                                                    T-'-   -OOOO^
                                                                    I
s
o
            |1
           •"I
         •  fii i
         « e]«
         i^-s-s
                   «§
                   L. £

                 ll".fe

                 iftte

                 fi"
                               i
                                       V   «
                                     a >   >

                                     «"   "s

                                          ii
                                      .   I
                                      i  i
                                      a
              *-•  c
                  -§
        __        ^_     ^j »^ O O

        * S 2 5 S  8"a    Q. n 2.-2
        3-gfrSfc  2k-   Sfeiti
        gKatae*'  e.£T    •- o o o
                       o
8;
••"  &
                          if
                          If
                                      .s
                                      S
                                             I
SE
ii
                                                       g
                                                       1
                                                 «s  li
                                                 El  5^
                                                 «-« t>   ^
                                                   • > «*
                                                .2] |ll
                                                d§ .2
                                                aaag
                                                    3l
            5   I
            !""
            I i i
                 i
                                                   <  .Mi 11
                                                   o  £.c c  5 5
                                                   —  a Ti. a  t. ^
5"  *3 >.TS   u at
   (Ac/it—   ** *J
                                           34

-------

  It
                in

                d
  »«
    I
V
•8
                . £
g
o
         « 2  «
         a "  •*
         .= «£  "S
     a  sr-
    SI  I-59
         o o
         if
              co :

              U
    o   ~.




    *   1'
        o
              .
        Us  sff
09 —'
 S3
 CL

ej
                                  35

-------
21.7% of the total invertebrates collected at the Collins site
and Gastropoda, family Physidae, which comprised 5.6% of
invertebrates collected at the Ocean Springs site.  The majority
of taxa collected at both sites had relative abundances less than
1%.

     Aquatic insect orders not represented in Table 9 are
Plecoptera, Neuroptera, Megaloptera, Hyraenoptera, and
Trichoptera.  Plecoptera are usually associated with clean cool
running waters or large oligotrophic lakes (Merritt and Cummins
1984).  Aquatic Neuroptera comprise only one family, the larvae
of which are associated with fresh water sponges.  Large numbers
of these and the Megaloptera are rarely seen because they are
short-lived and many species are nocturnal (Merritt and Cummins
1984).  These characteristics may partially explain the absence
of some aquatic insect orders in the WTS samples.  Although
Odonata were represented by 8 species at the Ocean Springs site,
they were nearly absent at the Collins site (only 1 individual
was collected).  Ephemeroptera, Collembola, and Lepidoptera were
present only at the Ocean Springs site, each representing less
than 0.1% of the total invertebrates collected.  Most
Ephemeroptera prefer a high concentration of dissolved oxygen;
aquatic Collembolans have a spotty distribution and are most
common in the early spring or late autumn  (Pennak 1978).

     Many species of Chironomids tolerate the low oxygen
conditions in wetlands. (Adamus and Brandt 1990).  Chironomid
abundance was high only at the Ocean Springs site, although only
two species of Chironomids contributed substantially to the count
(Table 9).  Numbers and species richness of collected Chironomids
might have been low because benthic sampling was not conducted,
so many benthic species were missed.  Benthic sampling is
recommended for future studies to assure accurate estimation of
Chironomid abundance.  Ratios of the number of invertebrate
species tolerant of low oxygen to those that are intolerant have
often been used to indicate ecological status of surface waters,
and could be tested for use in wetlands (Adamus and Brandt 1990).

     A large portion of cell 1 at the Collins site contained
alligatorweed  (Alternanthera philoxeroides), which would be
expected to be a more suitable substrate for Chironomids.
Although few Chironomids were present, Tubificid worms were very
abundant, occurring in masses within the floating alligatorweed.
Tubificids are usually most concentrated in polluted waters with
low dissolved oxygen, and some species are considered indicators
of organic pollution  (Pennak 1953).  Most of the true aquatic
Tubificids are able to thrive at low dissolved oxygen
concentrations, and many can tolerate complete absence of oxygen
for extended periods  (Pennak 1953).  Enrichment of the water at
the Collins site helps to explain the abundance of Tubificids,
although dissolved oxygen was not exceptionally low and was never
recorded as absent at the site  (see Table  23 in the Water Quality
section below).

     The number of invertebrates collected per hour is related to

                                36

-------
density.  The highest collection,rate by far occurred in cell 1A
at the Ocean Springs site where water enters the WTS (Table 10).
This is likely due to high nutrient^concentrations, high
productivity, and higher dissolved oxygen concentrations at the
inlet to the wetland (see Table 23 in Water Quality section
below).  Macroinvertebrate abundance normally increases with
increasing nutrient concentrations (Cyr and Downing 1988, Tucker
1958).  Macroinvertebrate diversity, however, was lowest in cell
1A at the Ocean Springs site (Robert Knight, personal
communication, CH2M Hill, Gainesville, FL).  This was likely due
to extremely high numbers of only a few genera:  Trichocorixa,
Tanypus, and Chironomous/Einfeldia.

     The same pattern in abundance, however, was not observed at
the Collins site (Table 10).  The greatest influence on
invertebrate abundance at the Collins site might have been due
instead to habitat type.  The highest collection rate at the
Collins site occurred in a mixed community of plant species in
cell 1C (Table 10).  Alternatively, invertebrate abundance at the
influent might be reduced by the factor affecting Ceriodaphnia
survival (see Whole effluent toxicity section below).  Because
the same habitats were not sampled in every cell, the effects of
cell number and habitat type are confounded in these analyses.
For instance, the lowest abundance occurred in cell 2B in the.
Scirpus habitat, so it is not possible to determine whether the
causal factor is the habitat or the degree of water treatment or
both.  Similarly, Scirpus habitat at the Ocean Springs site was
sampled in cells 1A and 2A; the high collection rate could have
been influenced either by habitat or by enrichment (Tables 10 and
11).  Although it is often difficult to find the same habitat
types in every cell, a more sound experimental design and
analysis of variance of the influences on invertebrate abundance
should be attempted in future studies.  Identifying the factor
that explains most of the variance in invertebrate abundance
might provide information for designing WTS to enhance habitat
quality.

     Table 12 shows the percent relative abundance of
invertebrate functional groups present at the Collins and Ocean
Springs sites.  A total of 487 invertebrates (48.2%) at the
Collins site and 280 (8.7%) at the Ocean Springs site were not
assigned functional groups.  These invertebrates included
immatures, terrestrial invertebrates, and non-insect
invertebrates (i.e., Oligocheata, Gastropoda, Hirudinea).  The
high percentage at Collins was due primarily to Oligochaeta in
the family Tubificidae and immature Belostomatidae (Table 9).
Because the only adult Belostomatids collected at the Collins
site were predators, the immature Belostomatids are likely
predators also.  Invertebrate communities at both sites were
dominated by the predator functional group, while the shredder
functional group was the least dominant.

     The distribution of invertebrates among functional feeding
groups is difficult to evaluate because the functional evaluation
of Vannote et al. (1980) is based on lotic systems.  Wetlands are

                                37

-------
to
c
•H
H
O
O

0)
$
4J
rt
rH
8
j*
0
id
0)

c
•H
^
j3
O
xs

c
o
to

0)
ft
tj
ft

TJ
0)
4->
0
0)
rH
rH
0
O

to to
0) 0)
-p -p
id-H
M tO
xt
0) 10
-P Cn
M C«
O-H
> H
C* Pi
•H 10

 0 tH H CM
55 C iH H4J -P 4J-P
H 'H H O O O O
« 0 55 » 55 55
CM • O
CO O
55
jrf
3
o
o

•"1
O| HHHHOJMOIM








to
0) h
•P 9
^ rH rH
H O 'O O ftO ftO O
EH 4J 0) • g • S • •
H n-P cntdtnidTfca
CO CJ O •<* W VO 10 H VO
> Q) ra en H
CO CH 4J 4J
55 -H rH O O
H 0 55 55
i-3 • o
O 2
CJ




H
OH <: m o Q <; «
O| iH «H H iH CM OJ
0)
XI
^
Id

0)

4?
jj
id
id
r*
0
id
0)

c
•H
^
»3
o

1
c
o
to

Q)
ft
j*"l
0)
ft

•o
0) •
4-> (0
O 0)
0) 4->
rH-H
rH (0
O
O 10
en
to c
0)-H
•P M

4J

M 3
Xt 0
0) X)
MTJ
W 0) Q)
EH >4J
H CO
CO -HO)
H
CO « H
O O O
2 55 0







t>
en
CO





(0
H 9
CM Q
CM C
CO 0)
0
2 -p
w
U 4J
O tO
4J
•H
w
•H
O
CO
i
4J
C
0)

M
0)
g



to
0)
4J

lj 3
Xt O

M 73
0) Q)
W >4J
EH CO
H -H 01
CO rH
• rH
CO O O
2 55 0
H






o
•
CO
00





to
a B
8 g
5
4J

4J
id
•H
XI
id
•H
o
CO
1
4J
c
01
&
1


















o o
H t^
VO CO
tn ca






id b
X! ®

H O
9 1
•P-P
C C
0) 0)
CP CP
tj Jj
0) Q)
S w









000
• • •

-------
usually predator-based systems (H. Howard, personal communication,
U.S. EPA Region 4, Athens, GA).  Although no current protocol
exists for evaluating the viability of a macroinvertebrate
community of a wetland, comparisons of functional group composition
between reference wetlands and the wetland in question are
sometimes made to identify differences in community structure.  In
contrasting a reference wetland to another wetland, biologists in
Region IV have observed the elimination in impacted wetlands of
certain taxonomic groups such as amphipods and odonates (H. Howard,
personal communication, U.S. EPA Region IV, Athens, GA).  This kind
of comparison might be considered for functional groups in future
studies if reference sites are sampled simultaneously.

     Genera richness of invertebrates varied from 25 to 41 in four
non-WTS palustrine wetlands in North Carolina (MacPherson 1988).
In addition, genera richness for invertebrates in Lower Mississippi
River abandoned channel and oxbow palustrine wetlands in 1984
ranged from 8 to 28 (Lowery et al. 1987).  Genera richness for
benthic invertebrates in Lower Mississippi River borrow pit
palustrine wetlands ranged from 7 to 29 in 1981.  The taxon level
to which invertebrates are identified, as well as the collection
techniques and group of invertebrates collected (e.g., nektonic,
benthic) vary, so comparison is difficult.  Nevertheless, it
appears that genera richness of 30 and 50 for the Collins and Ocean
Springs sites, respectively, are within the range of richness in
non-WTS wetlands.  Data on invertebrate abundance as determined
with the Timed Qualitative Sampling Technique were not found for
comparisons, so invertebrate abundance in the two WTS studied in
relation to that in non-WTS could not be assessed.

     Macroinvertebrates are important to habitat quality and system
function because they serve as a major food source for waterbirds,
fish, reptiles, and amphibians, and they are a critical link
between primary production/detrital resources of systems and higher
order consumers (Murkin and Batt 1987, Murkin and Wrubleski 1987).
Because of their relatively low position on the food chain,
invertebrates can serve as indicators of food chain function and
its implications for higher organisms.  Invertebrates are less
likely than birds or mammals to migrate from one wetland to
another, they can be sampled in a relatively short time period, and
they serve as an indicator of secondary productivity.
Macroinvertebrates have been suggested as monitoring indicators by
various scientists (Brooks et al. 1989, Brooks and Hughes 1988,
Brown et al. 1989, Schwartz 1987, US EPA 1983).  Continued
development of this indicator for habitat evaluation in WTS is
recommended and should include standardization of collection
methods, expansion of collection techniques (e.g., sediment
sampling for benthic invertebrates), looking for relationships
between invertebrate abundance and bird use, adherence to a
rigorous experimental design, and simultaneous sampling at
reference sites.  Functional group data might be useful for
comparisons with reference wetlands and for future development of
protocols for assessment of invertebrate community viability in
wetlands, but their usefulness as an effective indicator at this
time is uncertain.

                                 39

-------
Table 12. Relative abundances of invertebrate functional groups,
          Collins and Ocean Springs sites, Mississippi, 1991.
          Terrestrial, immature, and non-insect invertebrates
          were not assigned functional groups.


                           Collins  Site

               Functional Group    Relative Abundance

               Not assigned               48.2%
               Predator                   34.2
               Collector/scraper           6.5
               Collector                   4.1
               Piercer/collector           4.1
               Piercer                     2.5
               Collector/shredder          0.3
               Shredder                    0.1

                        Ocean Springs  Site

               Functional Group    Relative Abundance

               Predator                   56.0
               Predator/collector         19.5
               Not assigned                8.7
               Co Hector/shredder          6.4
               Scraper                     5.6
               Collector                   1.5
               Piercer                     1.1
               Collector/scraper           0.7
               Piercer/collector           0.6
               Shredder                    0.1
                                40

-------
Whole Effluent Toxicity Tests

     There was no statistically significant toxicity effect at
either site for the fathead minnow acute tests.  Survival was 95%
or more for all samples.  Toxic effects on reproduction of
Ceriodaphnia dubia were not observed or were not significant in
the Ocean Springs samples or the Collins effluent sample.  In the
Collins influent sample, however, 100% mortality occurred within
96 hours in all replicates (Table 13).  Measurements of each
water sample performed by the Duluth Laboratory upon arrival of
water samples are shown in Table 14, and initial and final
chemistries for water samples and the controls are shown in
Appendix D.


Table 13. Reproduction and survival of Ceriodaphnia dubia.
Sample
Mean young/original female
(confidence interval)	
                                             Mean Survival
Collins

Influent
Effluent
Control

Ocean Springs

Influent
Effluent
Control
          0 (n/a)
     31.1 (29.5-32.7)
     29.6 (27.4-31.8)
     22.7 (16.7-28.7)
     24.3 (21.3-27.3)
     19.6 (17.5-21.7)
                    0
                  100
                  100
                   90
                  100
                  100
Table 14. Measurements on water samples performed by ERL-Duluth
          immediately upon arrival of samples at the laboratory.
Sample
Hardness
(mg/L as
CaCCM
Alkalinity
(mg/L as
CaCOoi
Ammonia
N:NH3
(mcr/L)
TRC*
fmcr/L)
Collins
Influent
Effluent
30
35
Ocean Springs
Influent       43
Effluent       51
170
150
               167
               182
5.5
6.4
<0.02
<0.02
                          0.02
                         <0.02
  TRC=total residue chlorine
                                41

-------
     The precise cause of mortality of Ceriodaphnia dubia in the
Collins site influent samples and its implications for wildlife
should be further investigated.  Wastewater entering the Collins
WTS is pre-treated only with a lagoon, so its potential to
contain- substances harmful to some aquatic organisms could be
greater than that for WTS that receive water that has gone
through secondary treatment at a wastewater treatment plant prior
to entering the wetland.

     Toxic heavy metals, primarily from industrial sources, and
organic contaminants are sometimes present in municipal
wastewater (US EPA 1984, Hicks and Stober 1989, Richardson and
Nichols 1985).  Their concentrations are typically reduced by
approximately 30-95% in secondary treatment before entering a
wetland (Richardson and Nichols 1985).  In addition, most
constructed wetlands do not receive water from industries.
Although concentrations of toxic substances are likely to be
absent or low in WTS, probably the greatest risk to wildlife from
substances entering in wastewater, even in low concentrations, is
through bioaccumulation.  Benthic organisms inhabiting and
feeding in contaminated sediments can uptake toxic substances
bound in the sediments.  Short-term whole-effluent tests of water
will not indicate whether bioaccumulation is occurring, and,
unless the harmful substance is entering the wetland at the time
of sample collection, the test will not detect it.  Furthermore,
tissue analyses conducted to determine whether bioaccumulation is
occurring will not be sufficient unless a connection between
tissue levels of contaminants and adverse effects can be
established.  Nevertheless, it seems wise to monitor contaminant
levels in sediments or tissues of invertebrates or fish in
wetlands that are suspect (e.g., those that have past histories
of user violations) or where the potential for contamination is
greater (e.g., wetlands receiving industrial inputs).
Determining whether the levels of specific substances found pose
risks to higher forms of wildlife through ingestion, exposure, or
bioaccumulation is then necessary.  Early detection and
correction is preferable to remedying a problem once it has
occurred.

     Although toxicity is a very important issue, it is not one
that is related exclusively to wildlife habitat.  Depending upon
public use of the WTS, toxicity can become a human health issue
as well.  Whole-effluent toxicity tests are not recommended for
future studies of wildlife habitat quality because they do not
provide enough information for assessing risk of toxicity or
effects of bioaccumulation in a system.  The proper procedure for
documenting the effects of harmful substances in WTS is a much
more lengthy and expensive process than a general assessment of
wildlife habitat quality and thus should be a separate activity
in selected wetlands suspected as higher risks for the presence
of contaminants.  Suspect wetlands might be those where toxic
substances or metals have been found in the past, where
wastewater treatment plant user violations have occurred in the
past, or where routine sampling suggests possible problems  (e.g.,

                                42

-------
a sharp reduction in invertebrates present, signs of stress or
disease in birds that use the WTS, or a combination of indicator
measurements that suggests a marked decrease in wetland integrity
from one year to the next) . >^ ,     ',**•*"


Bird Use

     A total of 35 species were detected at both the Collins and
Ocean Springs sites during the survey period.  Species richness
was greater in fall at both sites.  Wood ducks were the most
abundant bird at the Collins site in both the summer and fall
surveys, accounting for 27.5% and 31.1%, respectively, of the
average total birds counted per survey (Table 15).  At the Ocean
Springs site, red-winged blackbirds had the highest relative
abundance in the summer, while American coots had the highest in
the fall (Table 16).  The mean number of red-winged blackbirds
per survey stayed about the same from summer to fall, but the
mean number of coots almost quadrupled.  Although some species
were detected on both the summer and fall surveys, the bird
communities were quite different for the two survey periods.
Only 8 species at the Collins site and 7 species at the Ocean
Springs site were detected on both the summer and fall surveys
(Tables 15 and 16).

     The total number of birds surveyed at Collins and Ocean
Springs was 189 and 296, respectively, in the summer and 123 and
674, respectively, in the fall.  This resulted in means of 37.8
and 26.4 birds per survey for the summer and fall periods,
respectively, at the Collins site (Table 15) and 59.2 and 134.8
birds per survey for the summer and fall periods, respectively,
at the Ocean Springs site (Table 16).  The high counts at the
Ocean Springs site in the fall were due to a large extent to a
large number of American coots.  The average density at the
Collins site was 8.5 birds/ha in the summer and 5.9 birds/ha in
the fall.  At the Ocean Springs site, bird density was 6.4 per ha
in summer and 14.5 per ha in fall.

     Several bird species were detected at each site during the
field work in mid-summer that were not detected during surveys.
The probability of detecting less common birds or migrants was
greater during field work because researchers spent four
continuous 10-hour days on the site.  In addition, more forest
birds were detected during the field work, particularly at the
Collins site, probably because the distance within which birds
were considered was not limited as it was with the more
systematic surveys.  Additional birds seen or heard while
conducting work at the Collins site were:  northern cardinal,
rufous-sided towhee, white-eyed vireo, yellow warbler, yellow-
billed cuckoo, tufted titmouse, and indigo bunting.  Additional
birds seen or heard while conducting work at the Ocean Springs
site were:  cliff swallow, great egret, white ibis, turkey
                                43

-------
Table 15. Mean number of birds of each species per survey (n=5)
          and their relative abundances in the summer and fall
          periods-Collins site.  Total of relative abundance is
          not exactly 100 due to rounding error.
Summer 1991
mean per rel.
survey abund .
Species (n=5) (%)
wood duck 10.4
red-winged blackbird
•chimney swift
barn swallow
purple martin
common grackle
eastern kingbird
rough-winged swallow
eastern bluebird
common yellowthroat
semipalmated sandpiper
great egret
great crested flycatcher
green-backed heron
ruby-throated hummingbird
American crow
sharp-shinned hawk
northern mockingbird
blue jay
great blue heron
eastern phoebe
killdeer
ring-necked duck
blue-winged teal
American coot
yellow-rumped warbler
American widgeon
gadwall
marsh wren
belted kingfisher
Carolina wren
yellow-bellied sapsucker
common snipe
hooded merganser
field sparrow
7.8
5.6
3.0
1.6
1.4
1.4
1.4
1.2
0.8
0.4
0.4
0.4
0.4
0.4
0.4
0.2
0.2
0.2
0.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
27.5
20.6
14.8
7.9
4.2
3.7
3.7
3.7
3.2
2.1
1.1
1.1
1.1
1.1
1.1
1.1
0.5
0.5
0.5
0.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Fall 1991
mean per rel.
survey abund
(n=5) r%>
8.2
2.8
0
0
0
1.4
0
0
0
0.4
0
0.6
0
0
0
1.8
0
0.2
0
0.6
1.8
1.4
1.2
1.0
0.8
0.8
0.8
0.6
0.4
0.4
0.4
0.2
0.2
0.2
0.2
31.1
10.6
0
0
0
5.3
0
0
0
1.5
0
2.3
0
0
0
6.8
0
0.8
0
2.3
6.8
5.3
4.5
3.8
3.0
3.0
3.0
2.3
1.5
1.5
1.5
0.8
0.8
0.8
0.8
Totals
37.8
100.0
26.4
100.1
                                44

-------
Table 16. Mean number of birds of each species per survey and
          their relative abundances in the summer and fall
          periods - Ocean Springs site.  Total of relative
          abundance is not exactly 100 due to rounding error.
Species
red-winged blackbird
American coot
common gallinule
pied-billed grebe
mallard
common grackle
eastern kingbird
barn swallow
green-backed heron
rough -winged swallow
chimney swift
great blue heron
wood duck
killdeer
mourning dove
bobwhite quail
brown-headed cowbird
common nighthawk
orchard oriole
common snipe
blue-winged teal
swamp sparrow
sander ling
savannah sparrow
black-necked stilt
marsh wren
shove ler
sora
eastern meadowlark
lesser yellowlegs
snowy egret
northern harrier
kestrel
ring-necked duck
American widaeon
Summer 1991
mean per rel.
survey abund.
m
18.6
17.0
7.8
4.0
2.4
1.8
1.6
1.0
1.0
1.0
0.4
0.4
0.4
0.4
0.4
0.4
0.2
0.2
0.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
31.4
28.7
13.2
6.8
4.1
3.0
2.7
1.7
1.7
1.7
0.7
0.7
0.7
0.7
0.7
0.7
0.3
0.3
0.3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Fall
mean per
survey
15.8
62.4
1.6
0.8
0.6
0
0
0
0
0
0
0
0 '
2.0
0
2.6
0
0
0
12.2
10.0
8.6
5.0
4.2
2.0
1.6
1.2
0.8
0.8
0.8
0.4
0.4
0.4
0.4
0.2
1991
rel.
abund
(%)
11.7
46.3
1.2
0.6
0.4
0
0
0
0
0
0
0
0
1.5
0
1.9
0
0
0
9.1
7.4
6.4
3.7
3.1
1.5
1.2
0.9
0.6
0.6
0.6
0.3
0.3
0.3
0.3
0.1
Totals
59.2
100.1
134.8
100.0
                                45

-------
vulture/ mottled duck, Canada goose, great crested flycatcher,
Mississippi kite, purple martin, little blue heron, and
Mississippi sandhill crane (flying over the site).

     The benefits of both WTS are probably increased because the
wetlands occur in a landscape setting where wildlife can make use
of a complex of habitats in a larger area.  Although the Collins
site lies at the edge of a residential area in a small town, it
is surrounded by mature forest and is bordered on one side by a
wooded stream, which provides habitat for forest passerines and
wood ducks, which also use the wetland.  The density of wood
ducks at the site is also enhanced by nest boxes, which have been
placed at several points throughout the wetland and are used
heavily during nesting season.  The Ocean Springs site is part of
the Sandhill Crane National Wildlife Refuge, so ample wildlife
habitat of various forms borders that site as well.  The two WTS
attract and provide resources for birds that are not wetland
dependent.  For example, the WTS produce insects which can serve
as food for songbirds such as swallows, flycatchers, warblers,
and nighthawks.  Sixty-six percent of bird species at the Collins
site and 51% at the Ocean Springs site were not wetland
dependent.

     At several southeastern palustrine non-WTS comparison
wetlands, species richness ranged from 5 to 98 (values in the
lower range were reported in studies that surveyed only waterfowl
and wading birds) (Tables 17-19).  Bird density ranged from 0.04
to 0.35 (Tables 17 and 19).  Species richness at the WTS (35 at
both sites) was within the range found in other types of
wetlands.  Densities at the WTS  (5.9-14.5 birds per ha.) were
much higher than those reported for comparison wetlands.  This
can probably be attributed in part to the observed high
biological productivity in the WTS.  Increased organic loading
increases production of aquatic invertebrates and thus the
abundance and diversity of songbirds (Hanowski and Niemi 1987)
and waterfowl  (Belanger and Couture 1988, Piest and Sowls 1985).
Benefits to waterfowl and other species of wildlife from use of
wastewater for habitat enhancement in California marshes were
also reported by Cedarquist and Roche  (1979) and Cedarquist
(1980a, 198Ob) for wastewater discharge to natural wetlands and
by Demgen (1979) and Demgen and Mute (1979) for artificial
wetlands.

     Although the benefits are great, concerns exist about
wildlife use of WTS.  Some- mortality of water birds from
microbial diseases (Steiniger 1962, Dodge and Low 1972, Clegg and
Hunt 1975) and from contaminants (Nero 1964) has been attributed
to their use of WTS.  Current concern about a nematode parasite
(Eustrongylldes ignotus) associated with eutrophic waters
primarily in the southeastern United States, poses one reason for
conservative evaluation of WTS as wildlife habitats.  The
parasite spends parts of its life cycle in aquatic worms
(Oligochaeta) and fish and can cause mortality in fish-eating
wading birds, particularly nestlings (Spalding, M. personal
communication, University of Florida, Gainesville).  Presently,

                                46

-------
 Table 17.  Bird species richness and density in Florida non-WTS palustrine wetlands.
                      Species              Density
      Site            richness    Year    (birds/ha)           Source
West of K-6    (FL)       40
Lake Hancock  (FL)       13
Lake Hancock  (FL)       15
    - -  data not available
      1990        --        Henigar& Ray 1990
      1988       0.26     Edelson and Collopy 1990
      1989       0.28     Edelson and Collopy 1990
 Table 18.   Waterfowl and wading bird species richness at non-WTS palustrine wetlands in
           Guntersville Reservoir, Alabama, 1988 (James et al., 1989).
         Site
Town Creek Embayment
    Compartment 1
    Compartment 2
    Compartment 3
Species
richness
   5
   5
   6
        Site
Mud Creek Embayment
    Compartment 1
    Comparment 2
    Comparment 3
Species
richness
   11
   8
   8
                                     47 .

-------
ss  $ o
                   & jS

                   "« "TO"


                   Q 3
       (D
       O

       d
        o
        CM

        d
in
CO

d
s
C3
s
d
                       (A



                       I
                      CO
                                     oo
                                     o>
0>

JU

I
-
col
Q.
m
in
T—
Q_
m
CL
CD
                                      CM
                                      CM
        in

        ff
        CD
                                           48'

-------
the overall impact of these parasites on wading bird populations
is uncertain.

     Habitat requirements, life histories, and species
assemblages of wetland birds are relatively well-known, although
information on community-level response to particular stressors
has been difficult to collect (Adamus and Brandt 1990).  Birds
are more visible and audible than other faunal components and are
easily identified by trained biologists, which makes bird use a
relatively reliable measurement in many cases.  Information on
birds is sometimes useful for assessing other system components,
such as the types of food resources that might be present in the
wetland or the presence of habitat features required by certain
species.

     Birds, however, are very mobile, and their use of a wetland
may be erratic, necessitating multiple surveys over a period of
time.  Because of their mobility, effects of contamination in
birds, if detected, usually cannot be linked with certainty to
the wetland in question.  In addition, one cannot assume that the
presence of birds means good habitat quality, particularly in
regions where suitable habitats are diminishing and birds are
forced to use available habitat regardless of its condition.
Most bird species might be better as indicators of overall
landscape conditions than of single wetland conditions (Adamus
and Brandt 1990).  The food resource (e.g., invertebrates,
zooplankton, or fish) might be a more reliable indicator for
assessing the faunal component of individual wetlands and is not
as mobile.  However, laboratory time and expense are required for
identification of invertebrates or zooplankton.

     Migratory seasons are the best time to assess optimal
foraging and resting use by birds but not necessarily the best
time to sample other indicators at the wetland, such as
vegetation.  If the goal of future monitoring is to assess a
wetland in a short time period (1 day or less), estimation of
bird use may be grossly biased.   Depending upon the information
desired, consideration might be given to conducting surveys in
only one season instead of two to save expense and field effort.
The results of this study showed that species richness changed
very little between the summer and fall survey periods, but the
species compositions changed considerably.  Thus, species
richness for only one season of surveys would be substantially
lower than for two seasons of effort and would not represent bird
use as accurately.  In addition, the average number of birds per
survey varied between, the summer and fall periods and the
direction of the change was different at the two WTS.  If bird
use is an indicator in future studies, research planners should
consider:

     o    The amount of sampling effort that can be devoted
          versus that required to obtain an accurate
          representation of bird use, density, and diversity

     o    Establishment of a yearly sampling schedule that

                                49

-------
          minimizes survey effort (i.e. repeat visits) while
          assuring that bird use is accurately characterized

     o    Data integration and reduction if multiple surveys are
          conducted

     o    Logistics and quality assurance issues involved in
          coordinating bird surveys with other agencies,
          universities, or organizations and conflicts that might
          arise due to diverging interests in the kinds of data
          collected

     o    Quantification of the relationship between bird
          abundance/density and other wildlife habitat indicator
          values

     o    Comparison of bird density and richness at a WTS with
          that found at surrounding reference wetlands

     o    Quantification of bird activity (breeding, feeding,
          resting) and the relative abundance of threatened,
          endangered, or keystone species.


Evaluation of Ancillary Values

     Probability ratings of high, medium, and low assigned by the
WET analysis to the various wetland functions are given in Table
20.  The WET analysis provides ratings for functions other than
wildlife habitat, which are also included in the table.  Of
greatest concern with regard to wildlife habitat are the ratings
for effectiveness and opportunity that characterize the wetland
and surrounding area in terms of physical, chemical and
biological attributes.  The four ratings for wildlife and aquatic
diversity/abundance under effectiveness were high for the Collins
site.  At the Ocean Springs site, ratings were high for wildlife
migration and wintering and low for wildlife breeding and aquatic
diversity/abundance.  The Collins site was also rated high under
effectiveness for sediment/toxicant retention and nutrient
removal/transformation; The Ocean Springs site was high for
groundwater discharge, floodflow alteration, sediment
stabilization, sediment/toxicant retention, and nutrient
removal/transformation.  Both sites were rated low for
groundwater recharge.  The majority of values under social
significance were rated low at the Collins site and moderate at
the Ocean Springs site, with the exception of wildlife
diversity/abundance, which was moderate at the Collins site and
high at the Ocean Springs site.

     The use of WET in WTS presented some interpretation
problems, which arose because questions did not pertain to the
unique circumstances present in WTS.  For instance, WET was
designed primarily for wetlands, either natural or artificial,
that function within a watershed.  WTS, however, do not receive
water from a typical watershed.  Their artificial nature and the

                                50

-------
service they provide are unique circumstances that are not
accommodated by some of the^WET questions.  Answering these
questions requires assumptions and/or guesses that might affect
the final outcome in unknown ways.  The technique also requires a
large amount of information on surrounding wetlands and a
knowledge of the locality  (e.g., geography, geology, land use,
watershed characteristics).  Information about the wetland in
question in other times of the year is also necessary.  Local
people familiar with the area must be depended upon to answer
questions regarding other wetlands and seasons.

     The answers to many of the WET questions were uncertain or
speculative, so the results are questionable.  Unless field
personnel are experienced with using the technique, it can be
cumbersome and confusing.  There is also the possibility that the
answers given by the WET analysis may be taken at face value
without consideration of other data collected or use of
professional judgement.  Continued use of WET for assessing WTS
is therefore not recommended.

     Other comprehensive evaluation methods exist and could be
considered for testing in future research if a rapid assessment
method is deemed necessary to complement indicator data.  Some
were designed for national use while others were designed for
regional use.  All methods have limitations and are based on
assumptions and none have been validated extensively.  An
overview of the most commonly used methods is given by Adamus
(1992).

Site Morphology

     Physical features of artificial ponds, such as surface area
and shoreline irregularity (or edge), influence waterfowl brood
use (Belanger and Couture 1988, Lokemoen 1973, Mack and Flake
1980, and Hudson 1983).  Belanger and Couture (1988)  recommend
that for good waterfowl habitat, artificial ponds should have
>30% cover of emergent vegetation.  Both of the Mississippi sites
have more than 30% emergent vegetation cover.  Emergent
vegetation covered 32% (not including floating Alternanthera
philoxeroides) of the wetland area at the Collins site and 71% at
the Ocean Springs site.                                    •

     Diversity, abundance, and density of wetland-dependent
animals is usually higher when vegetation and water are well-
interspersed.  Weller and Frederickson (1973) noted a possible
correlation between marsh-restricted bird species and percent
open water or the number of open pools in emergent cover.   Steel
et al. (1956) reported larger duck nesting populations in broken
than in solid emergent vegetation.  Marshes with 50-70 percent
open water that is well interspersed with emergent vegetation (or
a ratio of water to cover of 1.00-2.33)  produce the greatest bird
diversities and numbers (Weller and Frederickson 1973).   Weller
and Spatcher (1965)  noted that maximum bird species richness and
abundance occurred when a well-interspersed water:cover ratio of
50:50 (or 1.00) existed.   The Collins site ratio of water to

                               51

-------
Table 20. WET ratings for the Collins and Ocean Springs sites.
          H=high;' M=moderate; L=low; *=not evaluated by WET;
          Effect.=Effectiveness; Opport.=Opportunity;
          d/a=diversity/abundance.


                             COLLINS

                              Social
     Wetland Function         Significance   Effect.   Opport.

Groundwater recharge               L           L         *
Groundwater discharge              L           M         *
Ploodflow alteration               L           M         H
Sediment stabilization             M           M         *
Sediment/toxicant retention        L           H         H
Nutrient removal/transformation    L           H         H
Production export                  *           M         *
Wildlife diversity/abundance       M           *         *
Wildlife d/a - breeding            *           H         *
Wildlife d/a - migration           *           H         *
Wildlife d/a - wintering           *           H         *
Aquatic diversity/abundance        M           H         *
Uniqueness/heritage                H           *         *
Recreation                         L           *         *

                          OCEAN SPRINGS

Groundwater recharge               M           L         *
Groundwater discharge              M           H         *
Floodflow alteration               M           H         M
Sediment stabilization             M           H         *
Sediment/toxicant retention        M           H         H
Nutrient removal/transformation    M           H         H
Production export                  *           M         *
Wildlife diversity/abundance       H           *         *
Wildlife d/a - breeding            *           L         *
Wildlife d/a - migration           *           H         *
Wildlife d/a - wintering           *           H         *
Aquatic diversity/abundance        M           L         *
Uniqueness/heritage                H           *         *'
Recreation                         L           *         *
                                52

-------
cover was slightly low (0.77)  (Table 21), and open water pools
were not interspersed with cover.  Cell 1 contained more open
water/ making the ratio of water to cover more optimal, while
cell 2 was densely vegetated'with Scirpus spp. and Leiana spp.,
producing a ratio of zero (Table 21).  The ratio of water to
cover at the Ocean Springs site was only 0.09.  The deepwater
areas covered by duckweed at that site, however, might be better
included as water, which would make the ratio slightly higher
(0.10-0.15).  The Ocean Springs site was planted as solid dense
vegetation with deepwater areas between strips of Typha spp. and
Scirpus spp.  After a year of operation, however, some areas in
the vegetated sections (particularly the Scirpus spp. are opening
up, creating larger areas of shallow water for waterbird feeding
and a better interspersion of water and cover.

     The open water category primarily describes large expanses
of open water with no vegetation (i.e. those that are visible on
photos); it is not the total amount of water present.  Waterbirds
can use areas covered by small floating-leaved plants and areas
under the canopies of large emergent plants such as Typha and
Scirpus.  At both of the WTS, surface water area covered by
duckweed underneath emergent plants was sufficient to allow use
by waterbirds for protection and feeding.

     Land/water interface per hectare is a measure of edge.  It
is also another measure of the degree of interspersion of water
and cover.  Mack and Flake (1980) found that edge length was
positively correlated with dabbling duck production in the
prairie pothole region.  Harris and others (1983) concluded that
edge habitat is important to bird species diversity.  Neither
wetland has sinuous shoreline or islands.  Land/water
interface/ha was almost twice as great at the Collins site as at
the Ocean Springs site (Table 21), probably due to the small
dikes that extend into the Collins WTS (see Appendix A).  The
dikes at this site, however, cannot be used for nesting or
protection most of the time because they are mowed regularly for
maintenance purposes and are sometimes flooded in wetter years.
At the Ocean Springs site, the only land/water interface is the
rectangular border of the two cells.

     The interface between different cover types is another
measure of interspersion and edge.  Wetlands with moderate to
high vegetation richness and interspersion can support a greater
density and species richness of aquatic animals than those with
low interspersion (Weinstein and Brooks 1983, Rozas and Odum
1987).  Weller and Spatcher  (1965) noted that many marsh bird
species nested near water-cover interfaces or the interface of
two cover types.  Based on field observations, plant species were
not well-interspersed overall at either of the Mississippi sites,
partly because the number of dominant species (those that were
discernable on aerial photos - Table 21) was low and partly
because these sites, like many constructed wetland sites, were
artificially planted.  Planting is often done by placing
different species next to each other in rectangular sections or
long strips with straight sides, thus minimizing distance of edge

                                53

-------
Table 21. Landscape data acquired from aerial photographs.
          Indicators are marked with an asterisk.  Numbers in
          parentheses are percentages of total wetland area of
          the site or cell.   Percent coverage of plants listed
          under the vegetated category can sum to more than the
          total vegetated percentage due to overlap of species.
1.
2.








3.
4.
5.
6.
7.
COLLINS SITE
Whole site
Wetland area (ha)* 4.473
Cover areas (ha)
(percent of wetland area) *
a . Vegetated
Scirpus californicus
Typha latifolia
Polygonum punctatum
Al ternanthera
philoxeroides
Small floating-leaved
Mixed emergents
b. Open Water
Land/water interface (m)
cover/cover interface (m)
Open water area: vegetated
area*
Land/water interface:
Wetland area (m/ha)*
Cover /cover interface:

2.530
(57)
0.973
(22)
0.071
(1)
0.043
(1)
0.453
(10)
2.036
(46)
0.375
(8)
1.943
(43)
1835
1680
0.77
410
376
Cell 1
2.849

0.906
(32)
0
(0)
0.071
(2)
0.043
(2)
0.444
(16)
0.404
(14)
0.327
(11)
1.943
(68)
1195
190
2.14
419
67
Cell 2
1.624

1.624
(100)
0.973
(60)
0
(0)
0
(0)
0.009
(1)
1.624
(100)
0.048
(3)
0
(0)
640
1490
0
394
917
     Wetland area  (m/ha)*
                                54

-------
(Table 21,  continued)
OCEAN SPRINGS SITE
Whole site
1.
2.







3.
4.
5.
Wetland area (ha) *
Cover areas (ha)
(percent of wetland area)*
a. Vegetated
Typha latifolia
Scirpus validus
Small floating-leaved
Sagittaria lancifolia
Pontederia cordata
b. Open Water
Land/water interface (m)
Cover /cover interface (m)
Open water area : vegetated
9.281

8.530
(92)
5.177
(56)
1.217
(13)
1.994
(21)
0.091
(1)
0.051
(1)
0.751
(8)
2134
2681
.09
Cell 1
5.088

4.677
(92)
2.650
(52)
0.897
(18)
1.014
(20)
0.070
(1)
'0.046
(1)
0.411
(8)
1120
1392
.09
Cell 2
4.193

3.853
(92)
2.527
(60)
0.320
(7)
0.980
(23)
' 0.021
(1)
0.005
(1)
0.340
(8)
1013
1289
.09
              area*

   Land/water interface:
    Wetland area  (m/ha)*

   Cover/cover interface:
    Wetland area  (m/ha)*
230
289
220
274
242
307
                               55

-------
(and thus inter spers ion) between spec less.  Although this is often
a practical design for treating wastewater, it may not be best
for wildlife habitat.  The whole-site ratio of cover/cover
interface per ha was higher at the Collins site than at the Ocean
Springs site, but the ratios of the two cells were more similar
at the Ocean Springs site (Table 21).  The low ratio at the
Collins site cell 1 (67) was due to the sparse vegetation in that
cell (only 32%) and the presence of only one major cover type.
The distinction between Alternanthera philoxeroides and Le'mna
spp. was not made when measuring interface because both were
floating-leaved species and not well-separable as two different
cover types.  The high ratio in cell 2 was due to the
interspersion of dense Scirpus spp. and Lemna spp., which were
two distinctly different cover types.

     The size of a wetland .is vital to maintaining a marsh fauna.
To produce good waterfowl habitat, Belanger and Couture (1988)
recommend that artificial ponds be > 0.5 hectare.  Both WTS
studied meet this criterion.  Because wetlands are numerous in
the southeastern United States, however, it is not essential that
the WTS provide all the habitat requirements of wildlife.  Large
wetlands or complexes of wetlands types and upland areas may be
necessary for fulfilling all wildlife needs or for attracting
birds (Weller 1978).  Birds, in particular, can move between
different wetlands (i.e., within a wetland complex), -using some
for nesting, others for feeding, and others for roosting and
cover.  The habitat value of the Collins wetland is very likely
increased because of its setting adjacent to a forested stream,
which provides necessary resources, including habitat, for
songbirds and wood ducks that might not be present in the wetland
alone.  For assessing the value of a single wetland, the wetland
area indicator, therefore, might be better expressed as the area
of wetlands in a watershed or within a chosen distance from the
wetland in question so that single wetlands can be assessed in
the landscape context and not as isolated entities.

     The presence of other habitat types might also be important
for evaluating wetland value in a landscape context, particularly
for wildlife which is not wetland-dependent but which
periodically makes use of wetlands.  For instance, the Ocean
Springs site lies within the Mississippi Sandhill Crane National
Wildlife Refuge, and its value is enhanced because birds
attracted to the refuge can use it.

     Physical habitat features such as shoreline length, amount
of edge, ratio of open water to vegetated area, and vegetation
interspersion are good indicators of habitat quality because  ,
their relationships to wildlife production and/or use have been
shown repeatedly.  They can be obtained from maps or aerial
photographs in a relatively short period of time and with less
effort than field work.  Some field ground truthing of vegetation
types, however, is necessary for air photo interpretation. The
indicators can be collected in every wetland of interest, and
replicate samples and assessment of variability are not
necessary.  Comparisons with reference wetlands can be done to

                                56

-------
 assess  potential differences between natural and WTS.   Aerial
 photos  and maps can also be used to evaluate the larger landscape
 setting,  which is of great importance in evaluating wildlife
 habitat,  particularly when the wetland in question is  small.
 There is  some  overlap between the kinds of information on cover
 types that can be obtained from photos and from vegetation
 sampling  in the field.   Cover estimation of the dominant cover
 types can be obtained from photos while field work might focus on
 determination  of species richness.   A wide variety of  information
 can be  obtained from photos and maps,  and their use in the future
 is highly recommended.   Cost of aerial photography,  however,  may
 be a limitation.


 Water Quality

     Water quality summary data are presented for the  influent
 and effluent of each WTS in Table 22.   Comparison data for non-
 WTS in  the southeastern  region are presented in Tables 23-27.
 Means for water quality  indicators from the influent and effluent
 of the  WTS were within the range of non-WTS for pH,  TSS,  DO,  TKN,
 and TP.

     Wetlands  that receive water with  low levels of  TSS (less
 than 80 and never exceeding 200 mg/L)  are more likely  to support
 a greater diversity and/or abundance of fish and invertebrates
 (P. Adamus,  personal communication,  Mantech Environmental
 Technology,  Inc.,  Corvallis,  OR).   Both WTS met these  criteria.
 The TSS concentrations at  both sites are periodically  above 80
 mg/L, but were never as  high as 200 mg/L.   In addition,  both
 wetlands  are very efficient at reducing TSS.   Average  effluent
 concentrations (12.8 mg/L  at the Collins site and 10.9  mg/L at
 the Ocean Springs site)  are much lower  than influent
 concentrations.

     Turbidity can affect  fish and  invertebrate  populations
 indirectly by  raising water temperature,  leading to  lower DO
 concentrations (Reed et  al.  1983).   Dissolved oxygen
 concentrations greater than 4  mg/L  and  60%  saturation  are more
 likely  to support a greater diversity and/or abundance  of fish
 and invertebrates than wetlands with lower  concentrations
 (Adamus,  personal communication, Mantech Environmental
 Technology,  Inc.  Corvallis,  OR).  Concentrations  of  2 and 4 mg/L,
 however,  are not  uncommon  in many Florida  streams and swamps
 (Dierberg and  Brezonik,  1984,  Friedemann and Hand 1989, Hampson,
 1989).   Consequently, low  DO often  naturally  limits the richness
 of invertebrates  (Ziser  1978)  and fish  (Tonn and Magnuson 1982)
 in wetlands.  Average dissolved oxygen at both WTS sites  studied
 is 4.0 mg/L or  above.  Average  effluent concentrations were lower
 than influent  concentrations, with minimum concentrations of 3.6
mg/L at the Collins  site and 1.2 mg/L at the Ocean Springs  site
 (Table 22).

     Total mean phosphorus values for the WTS  (3.8-5.0 mg/L)
 (Table 22) were high compared to most non-WTS  (0.02-2.10 mg/L)

                                57

-------
(Tables 23, 24, 26, and 27), but were still lower than two of the
natural wetlands studied by Brown (1991) in Florida, which had TP
concentrations of 6.1 and 8.7 mg/L (Table 27).

     Fecal coliform bacteria at the Collins site (58.8 influent;
56.4 effluent) (Table 22) was within the range of values reported
for non-WTS.  Fecal coliforms at the Ocean Springs site (249.3
influent; 112.7 effluent) were higher than those reported for
non-WTS (<10-100) (Table 24), although few data were found for
comparison.  The effluent count at the Ocean Springs site is very
close to the comparison range and is more than a 50% reduction of
the influent count.

     BOD and Ammonia-N concentrations in influent and effluent of
the two WTS (1.1-4.7 mg/L for ammonia-N and 9.1-68.2 mg/L for
BOD) (Table 22) were high in comparison with non-WTS (0.01-0.26
mg/L for ammonia-N and 2.3-7.4 mg/L for BOD)  (Tables 23 and 24),
although few data were found for comparison.  Influent means at
the WTS sites were about an order of magnitude greater than the
highest comparison values for both parameters.  It is likely,
although not confirmed, that the results reported for ammonia-
nitrogen at the WTS were actually for ammonium.  Both WTS,
however, were very efficient in removing BOD.  Effluent BOD
concentrations were 9.3 mg/L and 9.1 mg/L at the Collins and
Ocean Springs sites, respectively; compared to 68.2 and 21.2 mg/L
in the influent  (Table 22).  Ammonia-nitrogen was also removed
within the WTS (from 4.1 to 1.1 mg/L at the Collins site and from
4.7 to 1.3 at the Ocean Springs site) (Table 22).

     Variability is high for some water quality indicators (e.g.,
fecal coliform counts) and low for others (e.g. Ph, TP) as shown
by the standard deviation (Table 22).  For some indicators the
magnitude of variability is not consistent between sites.
Variability of TSS and NH3-N is lower at the Collins than at the
Ocean Springs site  (Table 22).

     Interpreting precisely what some water quality indicators
mean for assessing wildlife habitat quality is difficult because
the relationship to most important habitat components is
indirect.  The effects of water nutrient concentrations are
reflected by community composition of plants, invertebrates,
fish, etc., which are more directly related to wildlife habitat
and are time-integrated measures.  For instance, poor water
quality  (e.g., low water clarity, low oxygen concentrations)
typically causes growth of competitive plant species over time,
which often crowd out species most valuable to wildlife and
produce little or no food (Atlantic Flyway Council 1972).

     Another problem with using water quality parameters as
indicators is that, because some of them are quite variable and
the information obtained is not time-integrated, measurements
need to be taken over time to have significant meaning.  The
measurements are usually available from site  operators because
discharge permits require monitoring of certain constituents in
wastewater.  However, evaluating the quality  of these data

                                58

-------
Table 22. Summaries of water quality data at the Collins and
          Ocean Springs sites.  I-influent; E=effluent; N=number
          of samples; substandard units; TSS=total suspended
          solids; DO=dissolved oxygen; BOD=biochemical oxygen
          demand (5-day); NH3-N=ammonia nitrogen; TKN=total
          Kjeldahl nitrogen; TP=total phosphorus; Fec.Col.=fecal
          coliform bacteria.


Variable I/E
pH (SU)
Ph
TSS (mg/L)
TSS
DO (mg/L)
DO
BOD (mg/L)
BOD
NH3-N (mg/L)
NH3-N
TKN (mg/L)
TKN
TP (mg/L)
TP
Fee . Col .
(no./lOO Ml)
Fee. Col.
I
E
I
E
I
E
I
E
I
E
I
E
I
E
I '

E

N
14
16
16
15
7
7
16
15
7
7
Not
Not
7
7
8

14
COLLINS
Range
6.6-8.4
6.2-7.5
16.4-123.0
8.4-16.4
7.7-10.4
3.6-6.9
27.5-121.3
7.3-11.7
3.2-4.8
0.8-1.3
Measured
Measured
3.3-5.3
2.6-4.9
35-140

10-170

Mean
7.4
7.0
75.1
12.8
9.3
4.9
68.2
9.3
4.0
1.1


4.7
3.8
58.8

56.4

Std Dev
0.6
0.4
31.2
2.9
1.0
1.1
37.1
1.4
0.5
0.2


0.7
0.8
34.1

51.2
                               59

-------
                                                                       —Jf
(Table 22, continued)

Variable
Ph (S.U.)
Ph
TSS (mg/L)
TSS
DO (mg/L)
DO
BOD (mg/L)
BOD
NH3-N (mg/L)
NH3-N
TKN (mg/L)
TKN
TP (mg/L)
TP
Fee . Col .
(no./lOO Ml)
Fee. Col.

I/E
I
E
I
E
I
E
I
E
I
E
I
E
I
E
I
E

N
44
67
48
67
24
68
47
67
11
68
11
24
11
Not
47
14
OCEAN SPRINGS
Range
7.3-10.8
6.3-9.9
2.0-128.0
1.0-90.0
2.8-12.6
1.2-9.3
4.8-61.8
3.0-51.0
0.1-13.2
0.1-4.4
4.4-20.2
1.3-8.3
3.8-6.3
Measured
13.0-1200.0
18.0-600.0

Mean
8.7
7.3
37.8
10.9
6.8
4.0
21.2
9.1
4.7
1.3
11.4
3.8
5.0
249.3
112.7

Std Dev
0.9
0.6
28.5
13.9
2.4
2.6
12 . 1
6.2
4.8
1.1
5.4
1.5
1.0
253.5
149.3
                                60

-------
 E §
'cfl c
     — 6
     .E s
   CO
 § « w
   c  *~
     CO
 Q.S

 Ilsi1
211?
   8c "5 >
   cp co -g
•c S.CQ g
 2* ° -o co
< S 8s5
 t to co ii
£-0 cO
 8§IQ
                   co

                 «9
                 ^o
                   d
•-•» c"04 2 "co


"JT" co Cfl" « Q-

§ ill Q.-O
=» E -S °
CO £•(/) —

g- CD CO «
  to
  •i.
CO
CO
CM
CD
2
.co
                   CM
                   00
                   00

                 «9
                 00 O)
O>
CO
                            q
                          coco
                          CM CM
                           00

                          PV
                          •r-CO
                           CD
                          in
                           in

                 8
                 f
     2 ..  ^

     ill!
     'iij
     w co a) <-»

     II11

     § "a. go?
     «t= ^ co  .

     o en | S
     i— 111   IS
     54| 8.
     jlQ. J5 c
     •f r\ . . r-
                           o   ~
                                     c"
           a.

           co

           o
                                 CD T-
                                 E >.
                                   -
                                £-8 -
     5 «0 3
     co Eoz
     CM
     CD
_J£E

T~
cT
T-
^^
T—
o'
o
T—

x-s
o"
CO
a>
CM
d
S
T-'
                                                  c*r

                                               i   ^7^ •   ^^^'
                                              O   i2, T-   co <
                                  f^W  S=-0>
                                  §3  tS
                                             3E\   Sco  Sco"   Si
                                              Q.I  ' W 1^-  T. O   m.C
                                                  CO co  CO /x   IO i
                      •o
                      I
o
                                                        CO
                                                              •o
                                                              o
                                        S-4?
                                        s°>
                                        10 10
                                                                   •a

                                                                   S.
                                        I
                                   61

-------
     8
to
CM
                    £2. cd
                    f- T
                    do

co p
•*~  10
                   .
                   4
                         §"•
                         Is; in
                                                            s?
                                                            CM 6
   £%
                     1
                     s
         co

         I
         O
1
O
                                           62

-------
        CO
            CO
                                                       CO
                                                       5
                                                        +1
8
0
                                                                        CM
                                                                        8
                                                                        o
                                                           O
                                                           CO


                                                           Ti
                                       10
                                 8
                                 CM
                                                                           CD
                                          m
                                          to
                                          CO
                                                           to
                    CO
                                                                                        to
                                                                                           CO
CO
°>
CO
CO

CO
(O
CM

CD
                 CD

                1
                 s
                                                                        !
                                                                        DC
                                                                        •o
                                                                        JO
                                                                        JO
                                                                        CO
                                                    63

-------
z
*
CO C
Q. O
Co O
*~ & "o
CM ***y ^Ii
y) C {rt Q)
I'sl*
l/J *Fj IMI"^ fJK
nj » Q. CD
f= 1 H- 3 ^
P CD i/r> i—
A CD CO "S>
8*8? |
«-rtE£
(J> Q) O- O
fS Qj p3 O
ill!
^ if-co 2 co
IsPS- P
|if^
Ie|?
o P J5 "o
o o o o o ooo ooiooopooooo
CNOCMU)0)^OO ^-COCOeOCM^t-OlOCMCO
CM UJCMCMI-CO'OCO t-i-O*T-t-CM*-CO"r^t-
-------
                                                                      —4
requires extensive and time-consuming review and evaluation of
standard operating and quality assurance procedures used by
laboratories that conduct analyses oh each wetland's water
samples.  If comparisons among wetlands are to be done in future
studies, laboratory procedures and quality control measures
should be the same for all laboratories.  Also, the particular
water quality parameters measured differ from one site to another
and are not necessarily collected at the same frequency.  Data
management and record-:keeping by site operators varies, and it is
sometimes difficult to acquire specific data.  Also, there is
some discrepancy among laboratories about exactly which metric is
measured and what it is called (e.g., ammonia vs. ammonium, total
phosphorus vs. total phosphorous as phosphate).  The continued
use of existing data sets for acquiring indicator information is
therefore not recommended.  Sampling of some water quality
indicators, such as dissolved oxygen, ammonia, or suspended
solids, during field sampling might be useful for interpreting
other field data collected at the same time (e.g., abundance and
diversity of invertebrate and plant species).
                               65

-------
                                                                      	4
                 CONCLUSIONS AND RECOMMENDATIONS

     The use of partially treated wastewater for creation of
wetlands has great potential.  It is an efficient reuse of water,
eliminates chemical treatment, can be very cost-effective, and
can be beneficial to wildlife.  For these reasons, assessment of
the wildlife habitat quality and sustainability of these systems
and development of methods for assessing and monitoring them is
of interest to the EPA.

     Table 28 contains a summary of the comparisons made between
the two WTS studied and non-WTS in the Southeast.  Overall, most
of the indicator values from the two Mississippi WTS (for which
comparison values were available) were within the range of values
for non-WTS.  Two of the water quality indicators - BOD and
ammonia-N concentrations - had higher values in the two WTS than
in the non-WTS used for comparison.  The majority of water
quality indicators, however, were within the range.  Bird
densities were generally higher in WTS than in non-WTS.  The data
suggest that the habitat condition of the two WTS studied is not
grossly different than that of the general population of wetlands
in the same region.  The preliminary results, however, do not
indicate actual habitat value because little is known about the
habitat quality of comparison wetlands or the WTS as measured by
the indicators used.  Habitat quality was assessed only relevant
to comparison wetlands.  Guidelines for selecting comparison
(i.e., reference) wetlands with good wildlife habitat are needed.
Table 28. General relationship of data from the WTS studied to
          the range of values reported for non-WTS in the
          southeast United States.

Plant Species
Richness
Invertebrate
Genera Richness
Water Nutrient
Concentrations
Bird Species
Richness
Bird Density






Below
Range











Low
X




Within
Range
Middle


-
X
	
Hiah

X
X





u


Above
Range




X
                                66

-------
     A summary of the indicators used in this study, including
sampling effort, expense, reliability of information collected,
direct relevance to wildlife^habitat:quality, and recommendation
for development in future studies, is given in Table 29.
Vegetation, invertebrate, and site morphology indicators are
recommended for development for evaluating wildlife habitat
quality in WTS.  The use of birds as indicators is questionable,
primarily because of their mobility.

     Use of existing water nutrient data, whole-effluent tests,
and the WET analysis are not recommended.  Nutrient data can be
variable, and problems exist with consistency of laboratory
techniques, and quality assurance and control procedures.
Acquisition and evaluation of QA/QC information is difficult and
time consuming.  Other indicators exist which are reliable and
more directly related to wildlife habitat quality.  The cost of
toxicity testing is a limiting factor.  Whole-effluent tests on
water do not provide enough information about contamination
because they do not provide time-integrated information.  The
discharge of harmful substances to WTS is likely a short-term or
intermittent event, and toxicity in water could be missed by
taking only one sample.  Potential effects are better detected by
testing for contamination in sediments or plant and animal
tissues.  Making the connection between levels found and actual
effects on wildlife would then be necessary.  Due to the length
and expense of a rigorous testing program, toxicity testing
should be done on selected wetlands suspected to be at risk from
contamination or toxic inputs (e.g., wetlands that receive
industrial discharges, where user violations have occurred in the
past, or where other data collected indicate a potential problem
requiring further investigation).  The WET analysis proved
difficult to use in constructed wetlands because of their
artificial nature and designated purpose.  Many of the questions
were not designed with these systems in mind, and thus were
ambiguous and difficult to answer with certainty.

     This study provided evidence that WTS provide wildlife
habitat and that the two sites are used by a variety of bird
species.  Some topics regarding wildlife habitat quality (e.g.,
how to measure it, how to evaluate it) require further study.
The following are suggestions for future studies:

o    For making comparisons of WTS to non-WTS, it would be
     extremely beneficial if future studies include simultaneous
     sampling on nearby reference (non-WTS) wetlands so that
     results from both types of wetlands are more directly
     comparable and confounding factors are minimized.  It is not
     possible to assess collected data if comparison values are
     unavailable or unreliable.  Comparison with literature
     values might be sufficient for preliminary studies, but to
     put in context the indicator values from WTS and to make
     valid conclusions about the quality of wildlife habitat, the
     best data for comparison are those that are collected at the
     same time, in close proximity,  on similar classes of

                                67

-------

wetlands, and with the same sampling techniques.

Reference wetlands should be natural, enhanced, or restored
wetlands that are not used for wastewater treatment.
Created wetlands should not be used for comparisons because
there is not enough information to show that they duplicate
wetland functions on a long-term basis (Kusler and Kentula
1990).  Establishing appropriate criteria for selection of
reference wetlands will require further thought.  One
approach would be to establish guidelines for selection of
reference sites that represent "good" habitat quality.  Data
collected can be used as a gauge against which measurements
or an aggregation of measurements taken at WTS can be rated.
Reference wetlands should also be as similar as possible to
the WTS in question with respect to size, wetland
classification, location, type of surrounding land use, and
degree of human disturbance.  Comparisons should be
quantitative.

In some landscapes, potential reference sites might in
reality all be in marginal or poor condition.  For assessing
actual habitat quality, an alternative to reference site
comparisons would be to develop guidelines for rating
habitat quality.  Guidelines should be performance standards
that are applied on the basis of best professional judgment
and provide for flexibility for dealing with environmental
uncertainty  (Chapman 1991).

Future work should also focus on developing means for
assessing and reducing data.  Developing assessment methods
can identify potential stressors, or causes of condition,
which can then be used to establish a gauge for rating
habitat value.  Data reduction involves combining
information from a group of indicators or from data on
multiple species to form a single indicator, or index, for
each ecological component (e.g., vegetation, invertebrates,
landscape).  For instance, species diversity incorporates
richness and abundance of all species into a single value.
A similar index might be developed for vegetation structural
diversity based on the number of vegetation layers and their
relative coverages.  Multivariate analyses are also useful
for analyzing combined data and forming indices.  Species-
specific data, however, are valuable for monitoring long
term changes at a wetland and should not be abandoned in
favor of indices.

The suite of indicators for this study was limited by level
of funding, labor, and logistical constraints.  Future
studies could assess the usefulness of indicators that were
not examined in this study, particularly new metrics for
evaluating habitat in terms of vegetation, invertebrates,
and site morphology.  For example, invertebrate sampling
should include specific techniques for collecting benthic
invertebrates.  It is recommended that new indicators be
directly related to wildlife habitat rather than those that

                           68

-------
might only infer wildlife use through an indirect relation
(e.g., nutrients, sediment type, hydrology).  Indirectly
related indicators might, however, be useful for supporting
other data (e.g., hydrologic rigime and sediment types can
influence the species composition of plants).

If bird use is retained as an indicator, a greater focus
should be placed on bird activity (breeding, feeding,
roosting, resting) in the WTS and the presence of
threatened, endangered, or keystone species.

The elimination of some indicators, if different indicators
provide essentially the same information, would save money
and time in sampling and analysis.  For instance, some
vegetation indicators measured in the field can easily be
obtained from air photos (e.g., structural diversity,
relative coverage of each structural type).  Air photo
analysis might be more accurate, particularly for large
wetlands where time restricts thorough ground sampling of
the whole wetland.  Thus, more effort could be spent in the
field sampling indicators that cannot be obtained from
photos such as species composition, abundance, and richness.
                          69

-------
VI
o
•a
 •s
 EH


EH

o
•a
VI
m

Hater
Quality
(nutrients)
^
^J
o
g
EH


Landscape
rtebrates

M
C
o
4J
«J
o>
0






rH
m

0)
Cn
Vi
r-4

§,
VI
rH

rH
id
m


S,
small
(photograph
small




rH
rH
id
™



mpling effort
yvttr season)
ffl
I *J
rH Id
rH VI

A



JS
o<
>derate-
high
E



O<


.u
liability of
formation for
ess ing habit a
e c m
PC -r< 0



o
>i
rH
£
-^
m
m
a

o


o




m
0)
m
§,




m
§!,



Recommend
velopment for
iture studies
•§-

£ -o ~
4J Q) CO
-H C O Vl
A 0) 0
1 -0 -w
~ o m
jj O 4J
*O ^j **^ U
H "J 4J Id
•H 3 CO Vl
i o o
13 rH O
>trH C?-H
^ 4J 3 4J rH
•°rH^ 0 §5
•o p.S*' «5
T3 O id

0)
O
C



none
•u
5c»
"^1
c 1 1
o m e
c
.^



01
§



Problems


                                       70

-------
                         LITERATURE CITED

                        '-'  ' '*• 1      :;:-::;. *•                    .
Adamus, P.R.  1992.  Data  sources  and evaluation methods  for
addressing wetland  issues.   Pages 171-224  IN  Statewide Wetlands
Strategies.   World  Wildlife  Fund,  Washington, D.C.  and Island
Press, Washington,  D.C.

Adamus, P.R.  and K.' Brandt.  1990.  Impacts on Quality of Inland
Wetlands of the United States: a  Survey of Indicators,
Techniques, and Applications of Community-Level Biomonitoring
Data.  EPA/600/3-90/073.  U.S. Environmental  Protection  Agency,
Environmental Research Laboratory, Corvallis, OR.

Adamus, P.R., E.J.  Clairain, R.D.  Smith, and  R.E. Young.  1987.
Wetland Evaluation  Technique (WET), Vol. II:  Methodology. U.S.
Environmental Protection  Agency,  Environmental Research
Laboratory, Corvallis, OR and Department of the Army, Vicksburg,
MS.

Atlantic Waterfowl  Council.  1972.  Technique  Handbook of
Waterfowl Habitat Development and Management, 2nd ed.  Atlantic
Flyway Council, Boston, MA.

Aust, M.W., S.F. Mader, and  R. Lea. 1988.  Abiotic  changes of a
tupelo-cypress swamp following helicopter  and rubber-tired
skidder timber harvest.   Fifth Southern Silvicultural Research
Conference, Memphis, TN.

Bastian, R.K., P.E. Shanaghan, and B.P. Thompson. 1989.   Use of
wetlands for  municipal wastewater treatment and disposal -
regulatory issues and EPA policies..  Pages 265-278  IN D.A. Hammer
(Ed.), Constructed  Wetlands  for Wastewater Treatment: Municipal,
Industrial and Agricultural. Lewis Publishers, Inc., Celsea, MI.

Beecher, W.J. 1942.  Nesting Birds and the Vegetation Substrates.
Chicago Ornithological Society, Chicago, IL.

Belanger, L.  and R. Couture. 1988.  Use of man-made ponds by
dabbling duck broods.  Journal of  Wildlife Management 52:718-23.

Biochino, A.A. and  G.I. Biochino.  1980.  Quantitative estimation
of phytophilous invertebrates.  Hydrobiological Journal  15:74-76.

Botts, P.s. and B.C. Cowell. 1988.  The distribution and
abundance of  herbaceous angiosperms in west-central Florida
marshes.  Aquatic Botany  32:225-238.

Brennan, K.M. 1985.  Effects of wastewater on wetland animal
communities.  Pages 199-223  IN P.J. Godfrey, E.R. Kaynor, S.
Pelczarski, and J.  Benforado (Eds.),  Ecological Considerations in
Wetlands Treatment  of Municipal Wastewaters.  Van Nostrand
Reinhold Company, New York, NY.
                                71

-------
Brodie, G.A., D.A. Hammer, and D.A. Tomljanovich. 1989.
Treatment of acid drainage with a constructed wetland at the
Tennessee Valley Authority 950 Coal Mine.  Pages 201-209 IN D.A.
Hammer (ed), Constructed Wetlands for Wastewater Treatment:
Municipal, Industrial and Agricultural. Lewis Publishers, Inc.,
Chelsear MI.

Brooks, R.P., D.E. Arnold, E.D. Bellis, C.S. Keener, and M.J.
Croonguist. 1989.  A methodology for biological monitoring of
cumulative impacts on wetland, stream, and riparian components of
watersheds.  Proceedings of the International Wetlands Symposium,
Charleston, SC.  Association of State Wetland Managers, Inc.,
Berne, NY.

Brooks, R.P. and R.M. Hughes. 1988.  Guidelines for assessing the
biotic communities of freshwater wetlands.  Pages 276-282 IN J.A.
Kusler, M.L. Quammen, and G. Brooks (Eds), Proceedings of the
National Wetland Symposium: Mitigation of Impacts and Losses.
Association of State Wetland Managers, Berne, NY.

Brown, M.T. 1991.  Evaluating created wetlands through
comparisons with natural wetlands.  EPA/600/3-9I/058.  U.S.
Environmental Protection Agency, Environmental Research
Laboratory-Corvallis, OR.

Brown, M.T., J. Schaefer, and K. Brandt. 1989.  Buffer zones for
water, wetlands, and wildlife in the east central Florida region.
Center for Wetlands, University of Florida, Gainesville, FL.

Buglewitz, E.G., W.A. Mitchell, J.E. Scott, M. Smith, and W.L.
King. 1988.  A physical description of main stem levee borrow
pits along the lower Mississippi River.  U.S. Army Corps of
Engineers, Mississippi River Commission, Vicksburg, MS.

Cederquist, N. 1979.  Suisan marsh management. Study progress
report on the feasibility of using wastewater for duck club
management.  U.S. Department of Energy, Water and Power Resources
Service, Sacramento, CA.

Cedarguist, N. 1980a.  Suisun Marsh management study, progress
report on the feasibility of using wastewater for duck club
management.  U.S. Department of Interior, Water and Power
Resources Service, Sacramento, CA.

Cedarguist, N.W. 1980b. Suisun Marsh management study, 1979-1980
progress report on the feasibility of using wastewater for duck
club management.  U.S. Department of Interior, Water and Power
Resources Service, Sacramento, CA.

Cedarguist, N.W. and W.M. Roche. 1979.  Reclamation and reuse of
wastewater in the Suisun Marsh of California.  Proceedings of the
Water Reuse Symposium, Vol. 1.  American Water Works Association
Research Foundation, Denver, CO.
                                72

-------
 Chapman,  P.M.  1991.   Environmental quality criteria:  what type
 should we be developing?  Environmental Science and Technology
 25:1353-1359.               =_       ftii,

 Clegg, F.G.  and A.E.  Hunt.  1975.   Salmonella infection in mute
 swans  (Cygnus  olor).   Veterinary  Record 97:373.

 Cobb,  S.P.,  C.H.  Pennington, J.A.  Baker,  and J.E.  Scott.  1984.
 Fishery and  ecological investigations of main stem levee  borrow
 pits along the lower  Mississippi  River.   U.S.  Army Corps  of
 Engineers, Mississippi River Commission,  Vicksburg, MS.

 Conway, T.E. and J.M.  Murtha.  1989.   The Iselin  Marsh Pond
 Meadow.   Pages 139-144 IN D.A.  Hammer (Ed.),  Constructed  Wetlands
 for Wastewater Treatment:  Municipal,  Industrial  and Agricultural.
 Lewis  Publishers,  Inc.,  Chelsea,  MI.

 Costello,  C.J.  1989.   Wetlands  treatment of dairy  animal  wastes
 in Irish  drumlin landscape.  Pages 702-709  IN D.A.  Hammer (Ed.),
 Constructed  Wetlands  for Wastewater Treatment: Municipal,
 Industrial and Agricultural.  Lewis Publishers,  Inc.,  Chelsea,
 MI.

 Cyr, H. and  J.A.  Downing.  1988.   Empirical  relationships  of
 phytomacrofaunal  abundance  to plant biomass and  macrophyte bed
 characteristics.   Canadian  Journal of Fisheries  and Aquatic
 Sciences  45:976-984.

 Davis, D.G.  and J.C. Montgomery.  1987.   EPA's  regulatory  and
 policy considerations  on wetlands  and municipal  Wastewater
 treatment.   Pages  69-70  IN  K.R. Reddy and W.H. Smith  (Eds.),
 Aquatic Plants  for Water Treatment and Recovery.  Magnolia
 Publishing Inc., Orlando, FL.

 Demgen, F.C. 1979.  Wetlands creation for habitat and  treatment
 at Mt. View  Sanitary District,  California.  Pages 61-73 IN R.K.
 Bastian and  S.C. Reed  (project  officers), Aquaculture  Systems for
 Wastewater Treatment:  Seminar Proceedings and  Engineering
 Assessment.  EPA 430/9-80-006.  U.S.  Environmental Protection
 Agency, Office  of  Water  Program Operations, Municipal
 Construction Division, Washington, D.C.

 Demgen, F.C. and J.W.  Nute. 1979.  Wetlands creation using
 secondary treated  wastewater.   Pages  727-739 IN American Water
Works Association  Research  Foundation Water Reuse Symposium, Vol.
 I.  American Water Works Association  Research  Foundation,
Washington, D.C.

Dicker-man, J.A., A. J.. Stewart,  and J.C. Lance. 1985.  The  impact
 of wetlands on the movement of water  and  nonpoint pollutants from
agricultural watersheds.  A report to the Soil Conservation
 Service.  U.S. Department of Agriculture,  Agricultural Research
Service,  Water Quality and Watershed Research Laboratory,  Durant,
OK.
                                73

-------
Dierberg, F.E. and P.L. Brezonik. 1984.  Water chemistry of a,
Florida cypress dome.  Pages 34-50 IN K.C. Ewel and H.T. Odum
(Eds.)/ Cypress Swamps. University Presses of Florida,
Gainesville, FL.

Dodge, D.E. and J.B. Low. 1972.  Logan lagoons good for ducks.
Utah Science 33:55-57.

Donovan, D.B. 1990a.  First Annual Report, Monitoring of Wetland
Vegetation at IMCF Section 12 Hookers Prairie Reclamation Site
Polk County, FL.  IMC Fertilizer, Inc., Bartow FL.

Donovan, D.B. 199Ob.  Forth Annual Report, N.E. 7/12 Reclaimed
Stream.  IMC Fertilizer, Inc., Bartow, FL.

Dvorak, J. and E.P.H. Best. 1982.  Macroinvertebrate communities
associated with the macrophytes of Lake Vechten: structural and
functional relationships.  Hydrobiologia 95:115-26.

Dwyer, T. J., G. L Krapu, and D. M. Janke. 1979. Use of prairie
pothole habitat by breeding mallards. Journal of Wildlife
Management 43:526-531.

Edelson, N.A. and M.W. Collopy. 1990.  Foraging ecology of wading
birds using an altered landscape in central Florida.  Florida
Institute of Phosphate Research, Bartow, FL.

Erwin, K.L. and F.D. Bartleson. 1985.  Water quality within a
central Florida phosphate surface mined reclaimed wetland.  Pages
74-85 IN F.J. Webb  (Ed.), Proceedings of the Twelfth Annual
Conference on Wetland Restoration and Creation.  Hillsborough
Community College, Tampa, FL.

Erwin, K.L. and G.R. Best. 1985.  Marsh community development in
a central Florida phosphate surface-mined reclaimed wetland.
Wetlands 5:155-66.

Farnez, R.A. and Bookhout. 1982.  Vegetation changes in a Lake
Erie marsh  (Winous Point, Ottawa Co., OH) during high water
years.  Ohio Academy of Science 82:103-107.

Fetter, C.W., Jr., W.E. Sloey, and F.L. Spangler. 1978.  Use of a
natural marsh for wastewater polishing.  Journal of the Water
Pollution Control Federation 50:290-307.

Friedemann, M. and J. Hand. 1989.  Typical water quality values
for Florida's lakes, streams and estuaries. Florida Department of
Environmental Regulation, Tallahassee, FL.

Greening, H.S. and J. Gerritsen. 1987.  Changes in macrophyte
community structure following drought  in the Okefenokee Swamp,
Georgia, U.S.A.  Aquatic Biology 28:113-128.
                                74

-------
Godfrey, P.J., E.R. Kaynor>  S. Pelczarski, and J.  Benforado
(Eds.)- 1985.  Ecological  Considerations  in Wetlands  Treatment  of
Municipal Wastewaters.  Van  Nostrand Reinhold  Company. New York.
NY.                                : -'••"

Guntenspergen, G.R. and F. Stearns. 1985.  Ecological
perspectives on wetland systems.  Pages 69-97  IN P.J. Godfrey,
E.R. Kaynor, S. Pelczarski,  and J. Benforado  (Eds.),  Ecological
Considerations in Wetlands Treatment of Municipal  Wastewaters.
Van Nostrand Reinhold, New York, NY.

Hammer, D.A. and R.K. Bastian. 1989.  Wetlands ecosystems:
natural water purifiers?   Pages 5-19 IN D.A. Hammer  (Ed.),
Constructed Wetlands for Wastewater Treatment: Municipal,
Industrial and Agricultural.  Lewis Publishers, Chelsea, MI.

Hampson, P.S. 1989.  Dissolved oxygen concentrations  in a  central
Florida wetlands stream.   Pages 149-159 IN D.W. Fisk  (Ed.),
Proceedings of the Symposium on Wetlands: Concerns and Successes,
Tampa, FL.  American Water Resources Association,  Bethesda, MD.

Hanowski, J.M. and G.J. Niemi. 1987.  Bird populations and
communities in a northern  Minnesota wetland before and after
addition of sewage effluent.  Natural Resources Research
Institute, Center for Water  and the Environment, University of
Minnesota, Duluth, MN.

Hardy, J.W. 1989.  Land treatment of municipal wastewater  on
Mississippi Sandhill Crane National Wildlife Refuge for
wetlands/crane habitat enhancement: a status report.  Pages 186-
190 IN D.A. Hammer (Ed), Constructed Wetlands  for  Wastewater
Treatment - Municipal, Industrial, and Agricultural.  Lewis
Publishers, Inc., Chelsea, MI.

Harris, H.J., M.S. Milligan, and G.A. Fewless. 1983.  Diversity:
quantification and ecological evaluation in freshwater marshes.
Biological Conservation 27:99-110.

Hartog, C.D. J. Kvet, and  H. Sukopp. 1989.  Reed—a common
species in decline.  Aquatic Botany 35:1-4.

Henigar and Ray Engineering Associates, Inc. 1990.  A qualitative
and quantitative assessment of the West-of-K6  reclamation unit,
Hillsborough County FL.  Prepared for IMC Fertilizer, Inc.,
Bartow FL.

Hicks, D.B. and Q.J.  Stober. 1989.  Monitoring of  constructed
wetlands for wastewater.  Pages 447-455 IN D.H. Hammer (Ed.),
Constructed Wetlands for Wastewater Treatment, Municipal,
Industrial and Agricultural.  Lewis Publishers, Inc., Chelsea,
MI.

Hudson, M.S. 1983.  Waterfowl production on three  age-classes of
stock ponds in Montana. Journal of Wildlife Management 47:112-
117.

                               75

-------
James, W.K., D.R. Lowery, D.H. Webb, and W.B. Wrenn. 1989.
Supplement to White Amur Project Report. TVA/WR/AB—89/1.
Tennessee Valley Authority, Muscle Shoals, AL.

Jeffries, M. 1989.  Measuring Tailing's element of chance in pond
populations.  Freshwater Biology 20:383-93.

Jones, J.R.E. 1964.  Fish and River Pollution.  Butterworth and
Co., Ltd., Washington, D.C.

Kadlec, R.H. and F.B. Bevis. 1990.  Wetlands and wastewater:
Kinross, Michigan.  Wetlands 10(l):77-92.

Kadlec, R.H. and J.A. Kadlec. 1979.  Wetlands and water quality.
Pages 436-456 IN P.E. Greeson, J.R Clark and J.E. Clark (Eds.),
Wetland Functions and Values: The State of Our Understanding.
American Water Resources Association, Minneapolis, MN.

King County. 1986.  The Use of Wetlands for Stormwater Storage
and Nonpoint Pollution Control: A Review of the Literature.
Resource Planning Section, Department of Planning and Community
Development, King County, WA.

Krull, J.N. 1970.  Aquatic plant macroinvertebrate associations
and waterfowl.  Journal of Wildlife Management 34:707-718.

Kusler, J.A. and M.E. Kentula (Eds.). 1990.  Wetland Creation and
Restoration: the Status of the Science. Island Press, Washington,
D.C.

Lokemoen, J.T. 1973.  Waterfowl production on stock-watering
ponds in the northern plains. Journal of Range Management 26:179-
184.

Lowery, D.R., M.P. Taylor, R.L. Warden, and F.H. Taylor. 1987.
Fish and benthic communities of eight lower Mississippi River
floodplain lakes.  Lower Mississippi River Environmental Program
Report 6.  Mississippi River Commission, Vicksburg, MS.

Mack, G.D. and L.D. Flake. 1980.  Habitat relationships of
waterfowl broods on South Dakota ponds. Journal of Wildlife
Management 44:695-700.

MacPherson, T.F. 1988.  Benthic macroinvertebrates of selected
ponds in the Nags Head Woods Ecological Preserve.  The
Association of Southeastern Biologists Bulletin 35(4):181-188.

Mclntyre, S., P.Y. Ladiges, and G. Adams. 1988.  Plant species
richness and invasion by exotics in relation to disturbance of
wetland communities on the Riverine Plain, NSW.  Australian
Journal of Ecology 13:361-73.

Merritt, R.W. and K.W. Cummins  (Eds.). 1984.  An Introduction to
the Aquatic Insects of North America, Second Edition.
Kendall/Hunt Publishing Company, Dubuque, IA.

                                76

-------
                                                                        -4
Mudroch, A., and J.A. Capobianco.  1979.  Effects  of treated
effluent on a natural marsh.  Journal Water Pollution Control
Federation 51(9):2243-2256.

Murkin, H.R. and B.D.J. Batt. 1987.  Interactions of vertebrates
and invertebrates  in peatlands and marshes.  Memoirs of the
Entomological Society of Canada Vol. 40.

Murkin, H.R. and D.A. Wrubleski. 1987.  Aquatic invertebrates of
freshwater^wetlands: function and  ecology.  Pages 239-49 IN D.D.
Hook, W.H. McKee Jr., H.K. Smith,  J. Gregory, V.G. Burell, Jr.,
M.R. DeVoe, R.E. Sojka, S. Gilbert, R. Banks, L.H. Stolzy, D.
Brooks, T.D. Matthews and T.H. (Eds.), The Ecology and Management
of Wetlands, Vol.  I: Ecology of Wetlands.  Groom  Helm, London.

Nero, R.W. 1964.   Detergents - deadly hazard to waterbirds.
Audubon 66:26-27.

Nixon, S.W. and V. Lee. 1986.  Wetlands and water quality: a
regional view of recent research in the United States on the role
of freshwater and  saltwater wetlands as sources,  sinks, and
transformers of nitrogen, phosphorus, and various heavy metals.
Technical Report Y-86-2.  U.S. Army Corps of Engineers,
Vicksburg, MS.

Piest, L.A. and L.K. Sowls. 1985.  Breeding duck  use of a sewage
marsh in Arizona.  Journal of Wildlife Management 49:580-585.

Rapport, D.J. 1989.  What constitutes ecosystem health?
Perspectives in Biology and Medicine 33(1):120-132.

Reed, J.P. J.M. Miller, D.F. Pence and B. Schaich.  1983.  The
effects of low level turbidity on  fish and their  habitat. Report
190.  Water Resources Research Institute, University of North
Carolina, Raleigh, NC.

Reed, S.C., E.J. Middlebrooks, and R.W. Crites. 1988.  Natural
Systems for Waste Management and Treatment.  McGraw-Hill, New
York, NY.

Reid, F.A. 1985.  Wetland invertebrates in relation to hydrology
and water chemistry.  Pages 72-79 IN M.D. Knighton (Ed.), Water
Impoundments for Wildlife: a Habitat Management Workshop.
General Technical Report NC-100.   North Central Forest Experiment
Station St. Paul,  MN.

Richardson, C.J. and D.S. Nichols. 1985.   Ecological analysis of
wastewater management criteria in wetland ecosystems.  Pages 351-
391 IN P.J. Godfrey, E.R. Kaynor, S. Pelczarski,  and J. Benforado
(Eds), Ecological Considerations in Wetlands Treatment of
Municipal Wastewaters.  Van Nostrand Reinhold Company, New York,
NY.

Roth, R.R. 1976.  Spatial heterogeneity and bird  species
diversity.  Ecology 57:773-82.

                               77

-------

Rozas, L.P., and W.E. Odum. 1987.  The role of submerged
aquatic vegetation in influencing the abundance of nekton on
contiguous tidal freshwater marshes. Journal of Experimental
Marine Biology and Ecology 114:289-300.

Ruwaldt, J.J., Jr., L.D. Flake, and J.M. Gates. 1979.
Waterfowl pair use of natural manmade wetlands in South
Dakota. Journal of Wildlife Management 43:375-383.

Sather, J.H. 1989.  Ancillary benefits of wetlands constructed
primarily for wastewater treatment. Pages 353-358 IN D.A. Hammer
(Ed.), Constructed Wetlands for Wastewater Treatment: Municipal,
Industrial and Agricultural.  Lewis Publishers, Inc., Chelsea,
HI.

Schaeffer, D.J., E.E. Herricks, and H.W» Kerster.  1988.
Ecosystem Health I: Measuring Ecosystem Health.  Environmental
Management 12(4):445-455.

Schwartz, L.N. 1987.  Regulation of wastewater discharge to
Florida wetlands.  Pages 951-958 IN K.R. Reddy and W.H. Smith
(Eds.), Aquatic Plants for Water Treatment and Resource Recovery.
Magnolia Publishing, Inc., Orlando, FL.

Sjoberg, K. and K. Danell. 1983.  Effects of permanent flooding
on Carex-Eguisetum wetlands in northern Sweden.  Aquatic Botany
15:275-86.

Smith, B.D., P.S. Maitland, and S.M. Pennock. 1987.  A
comparative study of water level regimes and littoral benthic
communities in Scottish Locks.  Biological Conservation 39:291-
316.

Staubitz, W.W., J.M. Surface, T.S. Steenhuis, J.H. Peverly, M.J.
Lavine, N.C. Weeks, W.E. Sanford, and R.J. Kopka. 1989.
Potential use of constructed wetlands to treat landfill leachate.
Pages 735-742 IN D.A. Hammer  (Ed.), Constructed Wetlands for
Wastewater Treatment: Municipal, Industrial and Agricultural.
Lewis Publishers, Inc., Chelsea, MI.

Steel, P.E., P.O. Dalke, and E.G. Bizeau. 1956.  Duck production
at Gray's Lake, Idaho, 1949-51.  Journal of Wildlife Management
20:279-85.

Steiniger, F. 1962.  Salmonella spp. and Clostridium botulinum in
waterfowl and sea-birds.  Wildfowl Trust Annual Report 13:149-
152.

Swanson, G.A. and H.I. Meyer.  1977. Impact of fluctuating water
levels on feeding ecology of breeding blue-winged teal.  Journal
of Wildlife Management 41:426-433.

Swift, B.L., J.S. Larson, and R.M. DeGraaf. 1984.  Relationship
of breeding bird density and diversity to habitat variables in
forested wetlands.  Wilson Bulletin 96:48-59.

                                78

-------
Teels, B.M., G. Anding,  D.H.  Arner,  E.D.  Norwood,  and D.E.
Wesley.  1976.  Aquatic plant,  invertebrate  and waterfowl
associations in Mississippi.   Proceedings of  the Southeast
Association of Game  Fish Commission  30:610-616.

Tonn, W. M. and J. J. Magnuson.  1982. Patterns in  the species
composition and richness of fish assemblages  in northern
Wisconsin  lakes. Ecology 63:1149-1166.

Tucker,  D.S. 1958.   The  distribution of some  fresh-water
invertebrates in ponds in relation to annual  fluctuations in the
chemical composition of  the water.   Journal of Animal Ecology
27:105-119.

U.S. Army  Engineer Mississippi River Commission. 1986.  Bird and
Mammal Use of Main Stem  Levee  Borrow Pits along the Lower
Mississippi River.   Lower Mississippi River Environmental Program
Report 3,  Vicksburg, MS.

U.S. Environmental Protection  Agency. 1983.   The Effects of
Wastewater Treatment Facilities  on Wetlands in the Midwest.
Appendix A: Technical Support  Document.   USEPA-905/3-83-002.
U.S. Environmental Protection  Agency, Region  5, Chicago, IL.

U.S. Environmental Protection  Agency. 1984.   The Ecological
Impacts  of Wastewater on Wetlands, An Annotated Bibliography. EPA
905/3-84-002.  U.S.  Environmental Protection  Agency and U.S. Fish
and Wildlife Service, Washington, D.C.

U.S. Environmental Protection  Agency. 1988a.   Design Manual:
Constructed Wetlands and Aquatic Plant systems for Municipal
Wastewater Treatment.  EPA/625/1-88/022.  U.S. Environmental
Protection Agency Center for Environmental  Research Information,
Cincinnati, OH.

U.S. Environmental Protection  Agency. 1988b.   Short-term Methods
for Estimating the Chronic Toxicity  of Effluents and Receiving
Waters to  Marine and Estuarine Organisms.   EPA-600/4-87-028.
Environmental Monitoring and Support Laboratory, Cincinnati, OH.

Vannote, R.L., G.W. Minshall,  K.W. Cummins, J.R. Sedell, and C.E.
Gushing. 1980.  The river continuum  concept.  Canadian Journal of
Fisheries  and Aquatic Sciences 37:130-137.

Voights, O.K. 1976.  Aquatic invertebrate abundance in relation
to changing marsh conditions.  American Midland Naturalist
95:313-322.

Wallace, P.M. 1990.  Herbaceous vegetation monitoring of the IMC
Horse Creek wetland reclamation site.  IMC Fertilizer, Inc.,
Bartow,  FL.                                           .
                                79

-------
Weinstein, M. P., and H. A. Brooks. 1983. Comparative ecology of
nekton residing in a tidal creek and adjacent seagrass
meadow: community composition and structure. Marine Ecology
Progress Series 12:15-17.

Weller, M.W. 1978.  Management of freshwater marshes for
wildlife.  Pages 267-84 IN R.E. Good, D.F. Whigham, and R.L.
Simpson  (Eds.), Freshwater Wetlands: Ecological Processes and
Management Potential.  Academic Press, New York, NY.

Weller, M.W. and L.H. Frederickson. 1973.  Avian ecology of a
managed glacial marsh.  Living Bird 12:269-91.

Weller, M.W. and C.E. Spatcher. 1965.  Role of habitat in the
distribution and abundance of marsh birds.  Special Report No.
43.  Iowa Agricultural Home Economics Experiment Station, Ames,
IA.

Yocum, T.G., R.A. Leidy, and C.A. Morris. 1989.  Wetlands
protection through impact avoidance: A discussion of the
404(b)(l) alternatives analysis.  Wetlands 9(2):283-297.

Ziser S.W.  1978.  Seasonal variations in water chemistry and
diversity of the phytophilic macroinvertebrates of three  swamp
communities in southeastern Louisiana.   Southwestern Naturalist
23(4):545-562.
                                80

-------
APPENDIX A.    Site maps and sampling points
                     81

-------
     Maps provided by site operators of the Collins and Ocean
Springs (Phase I) sites are included in this appendix.  The
following features are designated on each map:  vegetation
transect locations, invertebrate sample points, and bird survey
points.  Water sampling points (for whole effluent toxicity
tests) are shown on the Collins map, but were off the boundaries
of the map of Ocean Springs.  The inflow sample at Ocean Springs
was collected in a small maintenance building to the west of the
wetland complex near the pre-treatment lagoon.  The effluent
sample was collected on the north end of the Phase II wetland to
the northwest where water is routed after leaving Phase I.  Some
of the invertebrate samples were collected at a single spot in
the wetland, designated by an X on the maps.  When invertebrate
densities were low, however, several net samples had to be
collected to obtain 1/2 hour of collection time.  Therefore, Xs
connected by a dotted line represent places where samples
consisting of several nettings were taken along a shoreline or
the edge of vegetation from a single habitat type.

     The key below describes the symbols and features found on
maps in this appendix:


                    Dikes
                    Deepwater areas

               O    Influent sample collection point

               o    Effluent sample collection point

                    Vegetation transects

     X or X	X    Invertebrate sample points

     o  (1) -  (7)    Bird  survey points
                                82

-------
        COLLINS WASTE TREATMENT WETLAND
(5)
                                      65.4
                          Scale:  meters
                   83
                                             N

-------
 3

 H
 w
 H
 CO
 
                  O.
                          0)
                         r-i
                          a
                          o
                         CO
                                                        84

-------
APPENDIX B.    Site contacts and local experts consulted
                          85

-------
                  COLLINS
                 Contacts ;

                Bob Hamill
         Soil Conservation  Service
              601 7th Street
               P.O. Box 487
            Collins, MS  39428
            V.O.  Smith,  Mayor
            Collins, MS  39428
           Botanists consulted;

             Dr. Jean Wooten
         University of Southern MS
       Walker Science Bldg. Rm. 114
              Hattiesburg,  MS
        Aerial Photography Company:

           Harris Aerial Surveys
                Lynn Harris
               P.O. Box 246
             Midway, AR  72651
              Bird Surveyors;

        Frank Moore; Jeffrey Clark
     Department of Biological Sciences
    University of Southern Mississippi
        Southern Station, Box 5018
        Hattiesburg, MS  39406-5018
       Water Analysis Laboratories;

Culpepper Testing Laboratories, Jackson, MS
  Contact is V.O. Smith, Mayor of Collins
                     86

-------

                     OCEAN SPRINGS
                        Contact:;

                 MS Gulf Coast Regional
                  Wastewater Authority
                  3103 Frederic Street
                 Pascagoula, MS  39567
                  Botanists consulted;

                     Dr.  Bill Dunn                            \
                       CH2M Hill
                   7201 NW llth Place
                     P.O. Box 1647
                 Gainesville,  FL  32602
              Aerial Photography Company;

                 Harris Aerial Surveys
                      Lynn Harris
                      P.O.  Box 246
                   Midway, AR  72651
                    Bird Surveyors;
                                         >
         Frank Moore; Wan Ycmg  (Ocean Springs)
           Department of Biological Sciences
           University of Southern Mississippi
               Southern Station, Box 5018
              Hattiesburg, MS   39406-5018
              Water Analysis Laboratories;

MS Gulf Coast Regional Wastewater Authority Laboratory,
        Pascagoula,  MS;  Contact is  Donald Scharr
                           87

-------
APPENDIX C.    Invertebrate Biologists and Identification Keys
               Used
                                88

-------
Biologists:

Nan Allen; Ann Hershey
221 Life Sciences Bldg. - Biology office
10 University Drive
University of Minnesota-Duluth
Duluth, MN  55812


Invertebrate taxonomic keys used:

Borror, D.J., C.A. Triplehorn, and N.F. Johnson.  1989.  An
Introduction to the Study of Insects.  Sixth Edition. Sanders
College Publishing.  Philadelphia, PA.

Klemm, D.J.  1982.  Leeches (Annelida:Hirudinea) of North
America.  EPA-600/3-82/025.  Environmental Protection Agency
Environmental Monitoring and Support Lab.  Office of Research and
Development, Cincinnati, OH.

Merritt, R.W. and K.W. Cummins.  1984.  An Introduction to the
Aquatic Insects of North America.  Second Edition.  Kendall Hunt
Publishing Co., Dubuque, IA.

Pennak, R.W.  1978.  Freshwater Invertebrates of the United
States. Second Edition.  John Wiley and Sons, Inc., New York, NY

Pennak, R.W.  1989.  Freshwater Invertebrates of the United
States. Third Edition.  John Wiley and Sons, Inc., New York, NY.

Usinger, R.L. (Ed.).  1968.  Aquatic Insects of California, with
North American Genera and California Species.  University of
California Press, Berkeley, CA.

Ward, H.B. and G.C. Whipple (Eds.). 1959.  Fresh Water Biology.
Second Edition.  John Wiley and Sons, Inc., New York, NY.

Wiederholm, T. (Ed.).  1983.  Chironomidae of the Holarctic
Region. Part 1 Larvae.  Entomologica Scandinavica Supplement No.
19.  Borgstroms Tyckeri AB, Motala.
                                89

-------
APPENDIX D.    Water chemistry of replicates used for whole
               effluent toxicity tests.
                                90

-------
                    Ceriodaphnia dubia chronic test
Sample
               Mean
                PH
           PH
          Range
             Mean
             Temp
          Mean
           DO
          Mean
          Conduct iv.
          (limbos/cm)
Collins site
Influent       7.58
Effluent       7.18
Control        8.23
Influent       8.40
Effluent       8.37
Control        8.14
                          Initial Chemistries
       7.43-7.73
       7.13-7.23
       8.20-8.25
             25.3
             25.2
             26.0
                           Final Chemistries
       8.40
       8.35-8.40
       8.11-8.17
             25.1
             24.7
             24.8
          6.4
          8.2
          8.5
          8.1
          8.3
          8.4
          433
          410
          123
Ocean Springs site
Influent
Effluent
Control
Influent
Effluent
Control
9.06
7.54
8.09
8.46
8.51
8.14
                          Initial Chemistries
8.99-9.13
7.37-7.65
7.96-8.16
25.2
25.1
25.7
                           Final Chemistries
8.43-8.48
8.48-8.53
7.97-8.25
25.2
25.1
25.4
8.6
8.2
8.6
8.3
8.1
8.0
449
480
120
                                  91

-------
(Appendix D, continued)

                      Fathead minnow acutet tests
Sample
               Mean
                PH
           PH
          Range
             Mean
             Temp
          Mean
           DO
          fma/Ll
          Mean
          Conductiv.
          fumhos/cml
Collins site
Influent
Effluent
Control
7.58
7.18
8.22
                          Initial Chemistries
7.43-7.73
7.13-7.23
8.20-8.25
25.3
25.0
26.1
                           Final Chemistries
6.4
7.9
8.6
433
417
118
Influent
Effluent
Control
8.44
8.29
8.04
Ocean Springs site
Influent
Effluent
Control
Influent
Effluent
Control
9.09
7.49
8.05
8.30
8.33
8.10
             25.0
             25.0
             25.0
          8.6
          7.8
          7.9
                          Initial Chemistries
9.05-9.13
7.37-7.61
7.98-8.13
25.3
25.2
26.0
    Final Chemistries

             25.0
             25.1
             25.3
8.5
7.9
8.7
          7.9
          8.2
          7.4
451
479
117
                                  92

-------