United States
Environmental Protection
Agency
Environmental Monitoring
and Support Laboratory
PO. Box 15027
Las Vegas NV89114
EPA-600/3-79-065
June 1979
Research and Development
Distribution of
Phytoplankton in
Missouri Lakes
-------
RESEARCH REPORTING SERIES
Research reports of the Office of Research and Development, U.S. Environmental
Protection Agency, have been grouped into nine series. These nine broad categories
were established to facilitate further development and application of environmental
technology. Elimination of traditional grouping was consciously planned to foster
technology transfer and maximum interface in related fields. The nine series are:
1. Environmental Health Effects Research
2. Environmental Protection Technology
3. Ecological Research
4. Environmental Monitoring
5. Socioeconomic Environmental Studies
6. Scientific and Technical Assessment Reports (STAR)
7. Interagency Energy—Environment Research and Development
8. "Special" Reports
9. Miscellaneous Reports
This report has been assigned to the ECOLOGICAL RESEARCH series. This series
describes research on the effects of pollution on humans,plant and animal species, and
materials. Problems are assessed for their long-and short-term influences. Investiga-
tions include formations, transport, and pathway studies to determine the fate of
pollutants and their effects. This work provided the technical basis for setting standards
to minimize undesirable changes in living organisms in the aquatic, terrestrial, and
atmospheric environments.
This document is available to the public through the National Technical Information
Service, Springfield, Virginia 22161
-------
EPA-600/3-79-065
June 1979
DISTRIBUTION OF PHYTOPLANKTON IN MISSOURI LAKES
by
M. K. Morris*, W. D. Taylor, L. R. Williams,
S. C. Hern, V. W. Lambou, and F. A. Morris*
Water and Land Quality Branch
Monitoring Operations Division
Environmental Monitoring and Support Laboratory
Las Vegas, Nevada 89114
*Department of Biological Sciences
University of Nevada, Las Vegas
Las Vegas, Nevada 89154
ENVIRONMENTAL MONITORING AND SUPPORT LABORATORY
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
LAS VEGAS, NEVADA 89114
-------
DISCLAIMER
This report has been reviewed by the Environmental Monitoring and
Support Laboratory-Las Vegas, U.S. Environmental Protection Agency, and
approved for publication. Mention of trade names or commercial products does
not constitute endorsement or recommendation for use.
-------
FOREWORD
Protection of the environment requires effective regulatory actions
which are based on sound technical and scientific information. This
information must include the quantitative description and linking of
pollutant sources, transport mechanisms, interactions, and resulting effects
on man and his environment. Because of the complexities involved, assessment
of specific pollutants in the environment requires a total systems approach
which transcends the media of air, water, and land. The Environmental
Monitoring and Support Laboratory-Las Vegas contributes to the formation and
enhancement of a sound monitoring data base for exposure assessment through
programs designed to:
• develop and optimize systems and strategies for monitoring
pollutants and their impact on the environment
• demonstrate new monitoring systems and technologies by
applying them to fulfill special monitoring needs of the
Agency's operating programs
This report presents the species and abundance of phytoplankton in the
6 lakes sampled by the National Eutrophication Survey in the State of
Missouri, along with results from the calculation of several commonly used
biological indices of water quality and community structure. These data can
be used to biologically characterize the study lakes, and as baseline data
for future investigations. This report was written for use by Federal,
State, and local governmental agencies concerned with water quality analysis,
monitoring, and or regulation. Private industry and individuals similarly
involved with the biological aspects of water quality will find the document
useful. For further information contact the Water and Land Quality Branch,
Monitoring Operations Division.
GeorgB/ Morgan
Director
Environmental Monitoring and Support Laboratory
Las Vegas
m
-------
CONTENTS
Foreword jii
Introduction ]
Materials and Methods 2
Lake and Site Selection 2
Sample Preparation 2
Examination 3
Quality Control 4
Results 5
Nygaard's Trophic State Indices 5
Palmer's Organic Pollution Indices 5
Species Diversity and Abundance Indices 7
Species Occurrence and Abundance 9
Literature Cited 10
Appendix A. Phytoplankton Species list for the State
of Missouri 11
Appendix B. Summary of Phytoplankton Data 14
-------
INTRODUCTION
The collection and analysis of phytoplankton data were included in the
National Eutrophication Survey in an effort to determine relationships
between algal characteristics and trophic status of individual lakes.
During spring, summer, and fall of 1974, the Survey sampled 179 lakes in
10 States. Over 700 algal species and varieties were identified and
enumerated from the 573 water samples examined.
This report presents the species and abundance of phytoplankton in the
6 lakes sampled in the State of Missouri (Table 1). The Nygaard's Trophic
State (Nygaard 1949), Palmer's Organic Pollution (Palmer 1969), and species
diversity and abundance indices are also included.
TABLE 1. LAKES SAMPLED IN THE STATE OF MISSOURI
STORET No.
Lake Name
County
2901
2902
2903
2904
2905
2906
Clearwater Lake
Pomme de Terre Reservoir
Stockton Reservoir
Lake Taneycomo
Thomas Hill Reservoir
Wappepello Reservoir
Reynolds
Polk, Hickory
Dade, Polk, Cedar
Taney
Macon, Randolph
Wayne, Butler
-------
MATERIALS AND METHODS
LAKE AND SITE SELECTION
Lakes and reservoirs included in the Survey were selected through
discussions with State water pollution agency personnel and U.S. Environmental
Protection Agency Regional Offices (U.S. Environmental Protection Agency
1975). Screening and selection strongly emphasized lakes with actual or
potential accelerated eutrophication problems. As a result, the selection was
limited to lakes:
(1) impacted by one or more municipal sewage treatment plant outfalls
either directly into the lake or by discharge to an inlet tributary
within approximately 40 kilometers of the lake;
(2) 40 hectares or larger in size; and
(3) with a mean hydraulic retention time of at least 30 days.
Specific selection criteria were waived for some lakes of particular State
interest.
Sampling sites for a lake were selected based on available information on
lake morphemetry, potential major sources of nutrient input, and on-site
judgment of the field limnologist (U.S. Environmental Protection Agency 1975).
Primary sampling sites were chosen to reflect the deepest portion of each
major basin in a test lake. Where many basins were present, selection was
guided by nutrient source information on hand. At each sampling site, a
depth-integrated phytoplankton sample was taken. Depth-integrated samples
were uniform mixtures of water from the surface to a depth of 15 feet
(4.6 meters) or from the surface to the lower limit of the photic zone
representing 1 percent of the incident light, whichever was greater. If the
depth at the sampling site was less than 15 feet (4.6 meters), the sample was
taken from just off the bottom to the surface. Normally, a lake was sampled
three times in 1 year, providing information on spring, summer, and fall
conditions.
SAMPLE PREPARATION
To preserve the sample 4 milliliters (ml) of Acid-Lugol's solution
(Prescott 1970) were added to each 130-ml sample from each site at the time of
collection. The samples were shipped to the Environmental Monitoring and
Support Laboratory, Las Vegas, Nevada, where equal volumes from each site
-------
were mixed to form two 130-rnl composite samples for a given lake. One
composite sample was put into storage and the other was used for the
examination.
Prior to examination, the composite samples were concentrated by the
settling method. Solids were allowed to settle for at least 24 hours prior to
siphoning off the supernate. The volume of the removed supernate and the
volume of the remaining concentrate were measured and concentrations
determined. A small (8-ml) library subsample of the concentrate was then
taken. The remaining concentrate was gently agitated to resuspend the
plankton and poured into a capped, graduated test tube. If a preliminary
examination of a sample indicated the need for a more concentrated sample, the
contents of the test tube were further concentrated by repeating the settling
method. Final concentrations varied from 15 to 40 times the original.
Permanent slides were prepared from concentrated samples after analysis
was complete. A ring of clear Karo® corn syrup with phenol (a few crystals of
phenol were added to each 100 ml of syrup) was placed on a glass slide. A
drop of superconcentrate from the bottom of the test tube was placed in the
ring. This solution was thoroughly mixed and topped with a coverglass. After
the syrup at the edges of the coverglass had hardened, the excess was scraped
away and the mount was sealed with clear fingernail polish. Permanent diatom
slides were prepared by drying sample material on a coverglass, heating in a
muffle furnace at 400° C for 45 minutes, and mounting in Hyrax®. Finally, the
mounts were sealed with clear fingernail polish.
Backup samples, library samples, permanent sample slides, and
Hyrax-mounted diatom slides are being stored and maintained at the
Environmental Monitoring and Support Laboratory-Las Vegas.
EXAMINATION
The phytoplankton samples were examined with the aid of binocular
compound microscopes. A preliminary examination was performed to precisely
identify and list all forms encountered. The length of this examination
varied depending on the complexity of the sample. An attempt was made to find
and identify all of the forms present in each sample. Often forms were
observed which could not be identified to species or to genus. Abbreviated
descriptions were used to keep a record of these forms (e.g., lunate cell,
blue-green filament, Navicula #1). Diatom slides were examined using a
standard light microscope. If greater resolution was essential to accurately
identify the diatoms, a phase-contrast microscope was used.
After the species list was compiled, phytoplankton were enumerated using
a Neubauer Counting Chamber with a 40X objective lens and a 10X ocular lens.
All forms within each field were counted. The count was continued until a
minimum of 100 fields had been viewed, or until the dominant form had been
observed a minimum of 100 times.
®Registered trademark
-------
QUALITY CONTROL
Project phycologists performed Internal quality control intercomparisons
regularly on 7 percent of the species identification and counts. Although an
individual had primary responsibility for analyzing a sample, taxonomic
problems were discussed among the phycologists.
Additional quality control checks were performed on the Survey samples by
Dr. G. W. Prescott of the University of Montana at the rate of 5 percent.
Quality control checks were made on 75 percent of these samples to verify
species identifications while checks were made on the remaining 25 percent of
the samples to verify genus counts. Presently, the agreement between quality
control checks for species identification and genus enumerations is
satisfactory.
-------
RESULTS
A phytoplankton species list for the State is presented in Appendix A.
Appendix B summarizes all of the phytoplankton data collected from the State
by the Survey. The latter is organized by lake, and includes an alphabetical
phytoplankton species list with concentrations for individual species given by
sampling date. Results from the application of several indices are presented
(Nygaard's Trophic State, Palmer's Organic Pollution, and species diversity
and abundance). Each lake has been assigned a four-digit STORET number.
(STORET (STOrage and RETrieval) is the U.S. Environmental Protection Agency's
computer system which processes and maintains water quality data.) The first
two digits of the STORET number identify the State; the last two digits
identify the lake.
NYGAARD'S TROPHIC STATE INDICES
Five indices devised by Nygaard (1949) were proposed under the assumption
that certain algal groups are indicative of levels of nutrient enrichment.
These indices were calculated in order to aid in determining the surveyed
lakes' trophic status. As a general rule, Cyanophyta, Euglenophyta, centric
diatoms, and members of the Chlorococcales are found in waters that are
eutrophic (rich in nutrients), while desmids and many pennate diatoms
generally cannot tolerate high nutrient levels and so are found in
oligotrophic waters (poor in nutrients).
In applying the indices to the Survey data, the number of taxa in each
major group was determined from the species list for each sample. The ratios
of these groups give numerical values which can be used as a biological index
of water richness. The five indices and the ranges of values established for
Danish lakes by Nygaard for each trophic state are presented in Table 2. The
appropriate symbol, (E) eutrophic and (0) oligotrophic, follows each
calculated value in the tables in Appendix B. A question mark (?) following a
calculated value in these tables was entered when that value was within the
range of both classifications.
PALMER'S ORGANIC POLLUTION INDICES
Palmer (1969) analyzed reports from 165 authors and developed algal
pollution indices for use in rating water samples with high organic pollution.
Two lists of organic-pollution-tolerant forms were prepared, one containing
20 genera, the other, 20 species (Tables 3 and 4). Each form was assigned a
pollution index number ranging from 1 for moderately tolerant forms to 6 for
-------
TABLE 2. NYGAARD'S TROPHIC STATE INDICES ADAPTED FROM HUTCHINSON (1967)
Index
Calculation
Oligotrophic Eutrophic
Myxophycean
Chlorophycean
Di atom
Euglenophyte
Compound
Myxophyceae
Desmideae
Chlorococcales
Desmideae
Centric Diatoms
Pennate Diatoms
Eugl enophyta
Myxophyceae + Chlorococcales
Myxophyceae + Chlorococcales +
0.0-0.4
0.0-0.7
0.0-0.3
0.0-0.2
0.0-1.0
0.1-3.0
0.2-9.0
0.0-1.75
0.0-1.0
1.2-25
Centric Diatoms + Euglenophyta
Desmideae
TABLE 3. ALGAL GENUS POLLUTION INDEX
(Palmer 1969)
TABLE 4. ALGAL SPECIES POLLUTION
INDEX (Palmer 1969)
Genus
Anacystis
Ankistrodesmus
Chlamydomonas
Chi orel la
Closterium
Cyclotella
£uglena
Gomphonema
Lepocinclis
Melosira
Micractinium
Navicula
Nitzschia
Oscillatoria
Pandorlna
Phacus
Phormidium
Scenedesmus
Stigeoclonium
synedra
Pollution
Index
1
2
4
3
1
1
5
1
1
1
1
3
3
5
1
2
1
4
2
2
Species
Ankistrodesmus falcatus
Arthrospira jenneri
Chlorella vulgaris
Cyclotella meneghiniana
Euglena gracilis
Euglena viridis
Gomphonema parvulum
Melosira varians
Navicula cryptocephala
Nitzschia acicularis
Nitzschia palea
Oscillatoria chlorina
6scillatorfa limosa
Oscillatoria princeps
Oscillatoria putrida
Oscillatoria tenuis
Pandorina morum
Scenedesmus quadricauda
Stigeoclonium tenue
Synedra ulna
Pollution
Index
3
2
2
2
1
6
1
2
1
1
5
2
4
1
1
4
3
4
3
3
-------
extremely tolerant forms. Palmer based the index numbers on occurrence
records and/or where emphasized by the authors as being especially tolerant of
organic pollution.
In analyzing a water sample, any of the 20 genera or species of algae
present in concentrations of 50 per milliliter or more are recorded. The
pollution index numbers of7the algae present are totaled, providing a genus
score and a species score. Palmer determined that a score of 20 or more for
either index can be taken as evidence of high organic pollution, while a score
of 15 to 19 is taken as probable evidence of high organic pollution. Lower
figures suggest that the organic pollution of the sample is not high, that the
sample is not representative, or that some substance or factor interfering
with algal persistence is present and active.
SPECIES DIVERSITY AND ABUNDANCE INDICES
"Information content" of biological samples is being used commonly by
biologists as a measure of diversity. Diversity in this connection means the
degree of uncertainty attached to the specific identity of any randomly
selected individual. The greater the number of taxa and the more equal their
proportions, the greater the uncertainty, and hence, the diversity (Pielou
1966). There are several methods of measuring diversity, e.g., the formulas
given by Brillouin (1962) and Shannon and Weaver (1963). The method which is
appropriate depends on the type of biological sample on hand.
Pielou (1966) classifies the types of biological samples and gives the
measure of diversity appropriate for each type. The Survey phytoplankton
samples are what she classifies as larger samples (collections in Pielou's
terminology) from which random subsamples can be drawn. According to Pielou,
the average diversity per individual (H) for these types of samples can be
estimated from the Shannon-Wiener formula (Shannon and Weaver 1963):
S
H = -E P! iogx Pi
1-1
where P is the proportion of the ith taxon in the sample, which is calculated
from n-j/N; ni is the number of individuals per milliliter of the ith
taxon; N is the total number of individuals per ml; and S is the total number
of taxa. However, Basharin (1959) and Pielou (1966) have pointed out that H
calculated from the subsample is a biased estimator of the sample H, and if
this bias is to be accounted for, we must know the total number of taxa
present in the sample since the magnitude of this bias depends on it.
Pielou (1966) suggests that if the number of taxa in the subsample falls
only slightly short of the number in the larger sample, no appreciable error
will result in considering S, estimated from the subsample, as being equal to
the sample value. Even though considerable effort was made to find and
identify all taxa, the Survey samples undoubtedly contain a fair number of
rare phytoplankton taxa which were not encountered.
-------
In the Shannon-Wiener formula, an increase in the number of taxa and/or
an increase in the evenness of the distribution of individuals among taxa will
increase the average diversity per individual from its minimal value of zero.
Sager and Hasler (1969) found that the richness of taxa was of minor
importance in determination of average diversity per individual for
phytoplankton and they concluded that phytoplankton taxa in excess of the 10
to 15 most abundant ones have little effect on H. This was verified by our
own calculations. Our counts are in number per milliliter and since
logarithms to the base 2 were used in our calculations, H is expressed in
units of bits per individual. When individuals of a taxon were so rare that
they were not counted, a value of 1/130 per milliliter or 0.008 per milliliter
was used in the calculations since at least one individual of the taxon must
have been present in the collection.
A Survey sample for a given lake represents a composite of all
phytoplankton collected at different sampling sites on the lake during a given
sampling period. Since the number of samples (M) making up a composite is a
function of both the complexity of the lake sampled and its size, it should
affect the richness-of-taxa component of the diversity of our phytoplankton
collections. The maximum diversity (MaxH) (i.e., when the individuals are
distributed among the taxa as evenly as possible) was estimated from Iog2 S
(Pielou 1966), while the minimum diversity (MinH), was estimated from the
formula:
MinH = -^lloq I" N - (S-1) loo N - (S-D
MinH N Iog2 N N Iog2 N
given by Zand (1976). The total diversity (D) was calculated from HN (Pielou
1966). Also given in Appendix B are L (the mean number of individuals per
taxa per milliliter) and K (the number of individuals per milliliter of the
most abundant taxon in the sample).
The evenness component of diversity (J) was estimated from H/MaxH
(Pielou 1966). Relative evenness (RJ) was calculated from the formula:
RJ = H-MinH
MaxH-MinH
given by Zand (1976). Zand suggests that RJ be used as a substitute for both
J and the redundancy expression given by Wilhm and Dorris (1968). As pointed
out by Zand, the redundancy expression given by Wilhm and Dorris does not
properly express what it is intended to show, i.e., the position of H in the
range between MaxH and MinH. RJ may range from 0 to 1; being 1 for the most
even samples and 0 for the least even samples.
u Zand (1976) suggests that diversity indices be expressed in units of
sits , i.e., in logarithms to base S (where S is the total number of taxa in
the sample) instead of in "bits", i.e., in logarithms to base 2. Zand points
out that the diversity index in sits per individual is a normalized number
ranging from 1 for the most evenly distributed samples to 0 for the least
evenly distributed samples. Also, it can be used to compare different
samples, independent of the number of taxa in each. The diversity in bits per
8
-------
individual should not be used in direct comparisons involving various samples
which have different numbers of taxa. Since MaxH equals log S, the expression
in sits is equal to logs s> or !• Therefore diversity in sits per
individual is numerically equivalent to J, the evenness component for the
Shannon-Wiener formula.
SPECIES OCCURRENCE AND ABUNDANCE
The alphabetic phytoplankton species list for each lake, presented in
Appendix B, gives the concentrations of individual species by sampling date.
Concentrations are in cells, colonies, or filaments (CEL, COL, FIL) per
milliliter. An "X" after a species name indicates that the species identified
in the preliminary examination was in such a low concentration that it did not
appear in the count. A blank space indicates that the organism was not found
in the sample collected on that date. Column S is used to designate the
examiner's subjective opinion of the five dominant taxa in a sample, based
upon relative size and concentration of the organism. The percent column (%C)
presents, by abundance, the percentage composition of each taxon.
-------
LITERATURE CITED
Basharin, G. P. 1959. On a statistical estimate for the entropy of a
sequence of independent random variables, pp. 333-336. In: Theory of
Probability and Its Applications (translation of "Teoriya Veroyatnosei i
ee Premeneniya"). N. Artin (ed). 4. Society for Industrial and
Applied Mathematics, Philadelphia.
Brillouin, L. 1962. Science and Information Theory (2nd ed.). Academic
Press, New York. 351 pp.
Hutchinson, G. E. 1967. A Treatise on Limnology. II. Introduction to Lake
Biology and the Limnoplankton. John Wiley and Sons, Inc., New York.
1,115 pp.
Nygaard, G. 1949. Hydrobiological studies of some Danish ponds and lakes.
II. (K danske Vidensk. Selsk.) Biol. Sci. 7:293.
Palmer, C. M. 1969. A composite rating of algae tolerating organic
pollution. J. Phycol. 5:78-82.
Pielou, E. C. 1966. The measurement of diversity in different types of
biological collections. J. Theor. Biol. 13:131-144.
Prescott, G. W. 1970. How to Know the Freshwater Algae. William C. Brown
Company, Dubuque. 348 pp.
Sager, P. E., and A. D. Hasler. 1969. Species diversity in lacustrine
phytoplankton. I. The components of the index of diversity
from Shannon's formula. Amer. Natur. 103(929):51-59.
Shannon, C. E., and W. Weaver. 1963. The Mathematical Theory of Commu-
nication. University of Illinois Press, Urbana. 117 pp.
U.S. Environmental Protection Agency. 1975. National Eutrophication Survey
Methods 1973-1976. Working Paper No. 175. Environmental Monitoring and
Support Laboratory, Las Vegas, Nevada, and Corvallis Environmental
Research Laboratory, Corvallis, Oregon. 91 pp.
Wilhm, V. L., and T. C. Dorris. 1968. Biological parameters for water
quality criteria. Bio-Science. 18:477.
Zand, S. M. 1976. Indexes associated with information theory in water
quality. J. Water Pollut. Contr. Fed. 48(8):2026-2031.
10
-------
APPENDIX A
PHYTOPLANKTON SPECIES LIST FOR THE STATE OF MISSOURI
11
-------
Aehnanthes mierooephala
Aotinastrum graailimum
Anabaena sp.
Ankistrodesmus faloatus
Anksitrodesmus faloatus
v. acioularis
Ankistradesmus faloatus
v. mirabilis
Aphanizomenon flos-aquae
Aphanotheoe sp.
Asterionella formosa
Asterionella formosa
v. graoillima
Carteria sp.
Ceratium hirundinella
f. braohyceTas
Ceratiwn hirund-inella
f. furooides
Chlamydomonas sp.
Chlorogon.'iwn sp.
Chroomonas aouta
Closteriim sp.
Cooooneis sp.
Coelastrum ccvribviewn
Coelastrum m-ieroporum
Coelastrum retieulatwn
Coelastrum vetieulatum
v. polyohovdon
Coelastnm sphaericum
Coelosphaerium pallidum
Cosmapium clepsydra
v. nanum
Crucigenia apiaulata
orueigenia quadrata
Cruaigenia tetrapedia
Cryptomonas erosa
Cryptomonas erosa
v. reflexa
Cryptomonas reflexa
Cyalotella meneghi-niana
Cyolotella stell-Lgera
Cymatopleupa solea
Cymbella aymbiformis
Cymbella turgiguta
Dactyloooeaopsis sp.
Diatoma vulgare
Dictyosphaerium pulehellum
Dinobryon bavariaum
Dinobryon divergens
Dinobryon sooiale
Euastrum dent-iculatwn
Euglena acus
Euglena ehrenberg'ii
Euglena graoilis
Euglena oxyicris
v. minor
Euglena subehrenbergii
Euglena tripteris
Fragilaria erotonensis
Franceia sp.
Glenodinium aei,auliferum
Glenodin-ium gyrnnodinium
Glenodinium gyrmodinium
v. biseutelHforme
Glenodinium ooulatum
Glenodinium penardiforme
Gomphonema olivaaeum
Gomphosphaeria
Gyrrtnodinium albulum
Gyrosigrna sp.
Hantzschia amphioxys
Kirahneriella lunaris
Lagerheimia ehodati ?
Lagerheimia quadriseta ?
lepoeinolis sp.
Lyngbya sp.
Mallomonas sp.
Melosira distems
Melosira granulata
Melosira granulata
v. angustissima
Melosira varians
Meridian ciroulare
Merismopedia glauoa
Merismopedia minima
Merismopedia punatata
Merismopedia tenuissima
Mesostigma viridis
Miaraatiniwn ? sp.
Microaystis aeruginosa
Miorocystis inoerta
Moug&otia sp.
Navicula salinarum
Nitzschia aaicularis
Nitzschia filiformis
Nitzsahia tryblionella
v. debilis
Oooystis sp.
Osoillatoria limnetioa
Pandovina morum
12
-------
Pediastrum biradiatum
Pediastrum biradiatum
v. longecornutum
Pediastrum duplex
v. retioulatum
Pediastrum simplex
Pediastrum simplex
v. duodenarium
Pediastrum tetras
v. tetraodon
Peridinium aoiouliferum ?
Peridinium inoonspiouum
Peridinium quadfidens
Phaaus acwninatus
Phaeus caudatus
Phaeus curvieauda
Phaeus longiaauda
Phaeus megalopsis
Raphidiopsis curvata
Saenedesmus dbundans
Soenedesmus acuminatus
Soenedesmus arcuatus
Soenedesmus bioaudatus
Soenedesmus bijuga
Soenedesmus denticula,tus
Soenedesmus dentioulatus
v. lineaoris
Soenedesmus dirnorphus
Soenedesmus intermedius
Soenedesmus intermedius
v. bioaudatas
Scenedesmus quadriaauda
Soenedesmus quadriaauda
v. quadvisp-ina
Sohroederia setigera
Skeletonema potamos
Sphaerooystis schroeteri
Staurastvum sp.
Stephanodisous astraea
v. minutula
Stephanodisous niagarae
Surirella angusta
Synedi'a aaus
Synedra capitata
Synedra delioatissima
Synedra delioatissima
v. angustissima
Synedra ulna
Tetraedron aonstriotum
Tetraedron graoile
Tetraedron lirmeticum
Tetraedron minimum
Tetraedron minimum
v. serobioulatum
Tetraedron mutioum
Tetraedron trigonum
v. graoile
Tetraedron trigonum
v. papilliferum
Tetrastrum staurogeniaeforme
Traahelomonas fluviatilis
Traohelomonas hispida
Traohelomonas intermedia
Traohelomonas jaoulata
Traohelomonas volvooina
Treubaria setigerum
Treubaria triappendioulata
13
-------
APPENDIX B. SUMMARY OF PHYTOPLANKTON DATA
This appendix was generated by computer. Because it was only possible to
use upper case letters in the printout, all scientific names are printed in
upper case and are not italicized.
The alphabetic phytoplankton lists include taxa without species names
(e.g., EUNOTIA, EUNOTIA #1, FLAGELLATE, FLAGELLATES, MICROCYSTIS INCERTA ?,
CHLOROPHYTAN COCCOID CELLED COLONY). When species determinations were not
possible, symbols or descriptive phrases were used to separate taxa for
enumeration purposes. Each name on a list, however, represents a unique
species different from any other name on the same list, unless otherwise
noted, for counting purposes.
Numbers were used to separate unidentified species of the same genus. A
generic name listed alone is also a unique species. A question mark (?) is
placed immediately after the portion of a name which was assigned with
uncertainty. Numbered, questioned, or otherwise designated taxa were
established on a lake-by-lake basis; therefore NAVICULA #2 from lake A cannot
be compared to NAVICULA #2 from lake B. Pluralized categories (e.g.,
FLAGELLATES, CENTRIC DIATOMS, SPP.) were used for counting purposes when taxa
could not be properly differentiated on the counting chamber.
ERRATA
Minimum and evenness are misspelled in the computer printout of the
species diversity and abundance indices data.
14
-------
LAKE NANEt CLEARHATER LAKE
STOREI HUHBIH: 2901
NYGAARD TROPHIC STA1E INDICES
DATE 04 09 /4 06 18 7*. 10 OB 74
MYXLPHYCfAN
CHLUKOPHYCEAN
EUGLENOPHYIE
OIAIOH
COMPOUND
2.00 E
2. CO E
U.25 E
0.50 E
9. CO E
2.00 E
7.00 E
0.56 E
0.44 E
lij.O E
0/01 0
4.00 E
1.75 E
0.25 ?
12 .0 L
PALMER'S ORGANIC POLLUTION INDICES
DATE 0
GENUS
SPECIES
05
CO
CO
01
00
SPECIES DIVERSITY AND ABUNDANCE INDICES
DATE
AVERAGE DIVERSITY
NUh&tR OF TAXA
NUMBtR OF SAMPLES COflPOSlltD
MAXIMUM DIVERSITY
MNUHUH DIVERSITY
TOTAL DIVEPSITY
1UTAL NUMbtR OF JMD1VIDUAIS/ML
EVENESS COMPONENT
RELATIVE EVENESS
HEAh NUHBtR OF 1NDIV1DUALS/TAXA
NUMBER/ML Uf MUST ABUNDANT FAXON
G<» C9
06 IB 7
-------
IAKI NAIII i CIIARUAIlk l AM
STUB 11 NUN BEK i Z'lol
CUNlINUCU
96 IB 74
10 00
IAICAIUS
KICAlUS
ANAUAIN4
• NKlSlkUOl SHUS
ANKISIkUlll SHUS
ANMSIKUItl SHUS
\l. AC1UI1ARIS
ASIlRlllllll It IURKUSA
CIHIKIC UIAIIIH
CIRAliun MiRuNoiNiiiA
I. FURCUIDES
CHlORUPHtl AN CUCCOIII CIllIU ([HUNT
CHROoruNAS ACUI«
c i u s 1 1 R i UN • i
CiosilRiUM if
COCCtllD CE II
COEIASIKUH CAHBttlCDH
COt I AS I RUM RIIICUIAIUH
V. PUIKHORDUN
CIISHARlUn
CRIPIQHUNA S
CP.YPIONUMAS IROSA
CRTPIUHUNAS RIIIIXA
crnedi*
ttnetn* c
CtHBtllH lUKtlOUlA
OKIUflA
lUOltNA
lUClEHA IRIPUHIS
IDACItANIA
ciiNiiuiNiun ucuiAlun
IKNUlllNlUN
CTRUSIbn* I
KPOCINCI I S
DCIUSIKA DISIANS
HI I US I HA CRANUtAlA
MtlllSIKA VARIAHS
HIRIOIUH C IKIHAM
INCtKIA
iii IA
NAVICU1A
HI I JSCIIIA
NlliSCIIIA II
NIIMCHIA 12
N1USCIIIA I)
(HlClSlli
USC IllAIUk IA
PIUIASIKUI ilNPIO
V. II I M All DUN
PCKIOINIUH INCUHSIPICUUfl
PiKIUINIUtl OUAORIDLHS
I'llACUS CAUDJIUi
PIIACUS CUKVICAUUA
PHACUS tl'NCUAUUA
PMACUS niuAiuPSis
SCINIPI SHUS Bl JUOA
sccncuisnus UIMURPIIUS
SCI NfPi 5J1US VUAUHU«UO«
StNIDKA
STNIURA II
ittllDH CAPI1AIA
STNIURA 1)1 IKAIliSMA
V. ANCUSI ISSIHA
',YI.| III A lit h*
H Allll I IIKIMiAS I I (IV I'll II I S
IfM MI t uniinv niiriiiA
IK At HI I IIHdNAS IIIIIMrilniA
IRACIIM llnUNAS JAUIIMA
HIKH
f 11
CEl
CEl
III
CEl
CM
CEl
cot
CEl
(El
Cf I
CIL
COl
CUl
tEl
CEl
(11
Cl I
Cll
Cll
III
Cll
CLl
Cll
Cl I
Cll
Cll
Cll
Cll
CEl
CEl
CEl
CEl
Cll
Cll
CUl
1 11
Cll
CEl
cri
Cll
CEl
Cll
111
cm
CUl
CCI
CEl
CEl
CEl
CEl
Cll
cm
cm
COl
CEl
Cll
Cll
Ctl
1 1 1
(1 1
f 1 1
m
ii i
AlGAt
UNIIS
S 1C PI* IU
2
I
4
)
S
Z6.I
17.4
13. I
11.1
4.)
6.7
19. 1
4.3
)f
I
>
ilib
I
177
133
X
X
I
111
44
I
I
19
133
I
1
44
>
AlGAl
UNIIS
S 1C PIK HI
*
3
Z
•>
1
4..I
B.'J
3S.1
lt>. 0
4.J
4.0
4.0
4.U
20.1)
1
46
«
94
42H
»
I
140
»
I
I
48
>
46
I
I
X
>
41
1
I
1
>
411
I
11 B
>
1
X
1
AICAt
UNI IS
•> 1C Pill Ml
5
1
\
3
'i
11. 1
33.3
3).}
11. I
1 1 . i
>
i
X
I
»5
X
164
X
>
X
I
1
X
I
16»
X
I
I
I
5S
X
X
>
1
M
X
I II I A I
16
-------
l*KE UAhEl FU««t VI HfcRt MS.
STORtT NUnetKt 2903
NYGAARD IkljPHK STAlt 1NDICIS
CAFt i.
KYXOPHYCtAN 0/Cl 0 .00 t ^.5& t
CHLOKUPHYCEAN 7.«j& E 10.i t 7.iO t
tUGlfNOPHYH 0.1.0 fc 16.5. [ 1.-.5 t
PALMlk'b bK&ANK PUllUHCiN INDICES
DATE 0« 08 70 CO JO
SHtCIEb LlVLRiltY AND ABUNDANCE INDICES
DATE :<• ca 7.6i J.ti 3.?7
NUKbER JF UXA 5 Zi.'jC 0 i.CO 5.JO
KAX1KUN DIVEHSITY KAXH <..t,<. 5.cl S. O".
ft INI; nun DIVEKSIITHINH t.es c.i
-------
I AM N*n( i PUMII i.i URKI t>ii.
SI 11(1(1 HUH BIB i 2902
CIINI INUtD
ANABAIMA
AMU SI It I1IIC SHUS
ANKISIIIIJUE SMUS FAICA1US
ANK ISIRUIU 5rilS FAICAIUS
V. ACICUIAKIS
ASIIKIUNIllA FORMOSA
CARUKIA
CINIRIt DIAILinS
CIRAl IUH HIKUNDlNI II A
i.
CMRUI1MUNAS AtUIA
cms if R ion
ClUSIEKlim II
UIISIIKIUH ft
CUflASIKUn
CUIIASIKUN
cusnARit/n
CRUCIblNIA APlUUAlA
CROCIUHIA OUAUKAIA
CRUCIGINIA IIIRAPEUIA
CKrrloniJNAS
CXPIDHIJNAS IRUSA
V. RIEIHA
CMP11WUNAS KEFLEIA
S SPP.
CKIOHUA SIIUIblKA
UACiiiocnccupSis
lUASIKun
(UCtCHA
CKHUOINlUh CdlNUUIHIUH
ciiHUOlNiun ucutAiun
HAHI/SCI1IA
KIKCHNERIE UA
lAGIUIIEIHI A
lAGIRIII IMIA UUAURISUA 1
HAUOMUHAS
nllUSlKA UISIANS
nitUSIRA GHAMUIAIA
NILUSIHA LRANUIAIA
V. ANCUSIIJJINA
nlLUSIHA VARIANS
nmismiptou IENUISSINA
VIRIDIS
i
ALRUCINUSA
HICRIJCISIIS IHtCRIA
NI1/SCHU iPP.
USCK1AIOKIA llflNlMCA
IMA ntKUN
BIRAOIAIUN
PIDlASIKUrt H1KA1
V . II I H All UCIN
PIMNA11 UIAIUH
PIMIDINlUn UUAUPIUINi
PIIACUS
•APHIUIUPSIS CURVA1A
SCENtUtSDUS ACUHINAIUS
SCIHCDESnUS ARCUA1US
SCtNEUESnuS II I JUt A
sctHtDismts
V. tlNi»* IS
stfNioismis
SEINED! SMUS INIlkhlUIUS
V. IIC/UHIA1US
StlNIOISHUi autDRICAUOA
SCHklltUERIA SI I10H A
Skill KiNtHA POIAHljS
SHPHAtHIOISCUS ASICAIA
V. niNIIIULA
SHPIUHUOI '.CUS NIAtAktt
STNiORA UE UCAIISilHA
IU»H
1 H
en
CEl
CEl
ill
CIl
Cll
CEl
Clt
CEl
CEl
Cll
CEl
Cll
fill
COl
CEL
cut
CCJl
CHI
Cll
Cll
CEl
Cll
Cll
Cll
Cll
COl
Cll
Cfl
III
Cll
CEl
Cll
CEl
CEl
Cll
CEl
CEl
Cll
Cll
III
COl
Cll
Cll
CPl
CUl
CEl
1 11
COl
cm
CUl
cm
Cll
Cll
Cll
in
cm
CUl
cm
cm
cm
cm
cm
CCl
Cll
Cll
Cll
Cll
CEl
AlCAl
UNITS
S 1C PIR HI
1
i
«.
1
3
1.3
1.3
6.-i
3.U
3.e
i.l
9.0
11.5
21.5
1.3
^4.6
1.3
4S
1
*a
?38
143
I
143
191
»
333
1
1
•>!•>
10«»
1
I
«
46
»
1
I
I
91J
41
AlCAl
UHII S
S 1C Pit III
1
3
4
4
2
1 1
1.01 41
1
1
1
le.t.i ««?
1 «
10.31 493
6. 21 !1b
1
1.01 49
1
6.21 394
1.01 49
1
1
1 «
1.01 49
2.11 99
1 «
1 >
1.01 49
9.31 444
1
I
1
1
ie. 6i »;
1
1
1 >
1
1 >
1.01 49
1 I
1
1
1
1 >
I
1 >
2.11 99
1 <
1
1
1
I
2.11 99
1 I
1 I
2.11 99
1
1
1 >
1.01 49
1
| I
1
1 >
4.11 197
l.t'l 49
1 I
1
1
1.01 49
1.01 49
1
1
1 >
1
|
1.01 49
1 »
1
1
1 1
1 I
1.01 49
AlCAl
UNI IS
S (C PER HI
S
4
3
2
1
|
1.31 43
4.3
10.7
1.3
0.7
2.7
IB. 7
1.3
16.0
22.7
4.0
2.7
1.3
2.7
2.7
170
140
1
>
43
213
1
X
64
1
496
>
>
43
>
MO
723
X
121
85
I
I
I
I
4}
I
S»
• 5
I
I
18
-------
l»M NAMll PUHIU Ul IlkHI kli.
SlURfl NUH81RI ?»*U?
1A»A
JVNIURA on iC
v. AHI.USI
CUHI I HUH
10 06 74
V. SCKllOICUHlUN
if IRMUKDN nuiicun
It IRA'jIllUn 5I1URQOI NUtlUMdl
IRACHIlUniJNAS
IK|»PPIBUICUIAI*
HIIAl
limn
Ul
Cll
m
cm
Cll
CCI
s
tt
AlSAl
UNMS
n» HI
I
s
AlGAl
UN IIS
XC fit HI
1
1
1
1.01 *9
I.JI *9
1 >
1 >
2.11 •>•»
i
xt
AlCAl
UNI IS
n* HI
I
1
1717
11V?
19
-------
LAKE NABEt SIOCKION RtS.
SIURII NUMBER'
NYGAARO TROPHIC STATE INDICES
t/ATE 0 08 7
-------
lift Mrt : SIliCKIIin kti.
', itjkE I »»ur bin ; 2<>o:)
CCM INL'ED
lilt
AChNAMHIS UlCKOCt Phil A
«c I i-A
C Y»A H H[UkA SJIE A
CYMUIA
CYST
'. UlYltCuCCGPSIS
UlnCBFYUM DIVEROENS
1 DINllCUlATl/M
lUGltMA I?
IkAGHAtIA CBUIOMI'SIS
Git Nut) II. HJC CTOMC.lj IM'JH
V. 61SCUKII IfUknt
GltNUblNlUn H NAli,
K IkCHhci. IE It*
LIPUC INCUS
UlltANS
C KAM,L»1«
f|lf.SI«A JAflAHS
ft* ISrCPtUU ClAUCA
PUNClAlA
M SI.<,1 IuH> HI )ul S
MCHltYill? IHCiSI*
'1AV1CILA SAllHAHJh
M IZilHl A
^M/Sll'l3 II
!K>L YSIIS
I 'C UlAlllI'lA
I.U II LA I OKI A II
MhLOkHA rL>UK
UMASlkOK tlKADIA U.H
r ! L I 0'. I- v« llhAllkllP
V. U.NblCOCNUlun
UL 1ASIKUH ilUPLE 1
PEblAS!*UN SIHPllJL
V. ULLtlSAHLJI
PtNNAIt UIAIOK
pincui
RAPMIOIOPSli T
SCIMDESNUS ABUHDANS
'.C i HI Li 'jflUS AfCUAlUS
•iCIKilUSIUS tICAULAlUS
SClMUl SrtUS bENllCUlAll.>S
V. LINEAR IS
5C tMEllSHUS INrtHMDIUi
SC(r.E(ICSHUS OUAOHCAUDA
SClNElESnuS CUADR 1C AUJA
V. OLAOHSP1SA
'.KILE 10NEHA PLTArCS
S^HAEkUtYSIIS SCHkOElESI
S 1 AUk ASIkUN
S1I PMANU01SCUS AilKAlA
V. MNUIUIA
SUPHANJUISCUS XIAbAKAl
SOH1P.IILA ARCUSIA
SYHEOkA II
(,kfl
CEl
CEl
CEl
ru
Cfl
CEL
Cll
Id
CEl
CEL
CEl
CCl
CC'l
CCl
COl
cri
CEl
Cll
cu
Cl I
CE t
CEl
CEl
Cll
CE I
CEl
CEl
Cll
CIL
CEl
Ctl
Ctl
CEl .
Ctl
Ctl
Ctl
CEl
f II
CEl
CEl
CEl
cm
cci
CCl
Cfl
CCl
CEl
CEl
CEl
CEl
1 U
f 11
CUl
Cll
CCl
en
COl
Ctl
CEl
( u
Clil
COl
CCl
CEl
CDl
CCll
CtH
COl
CEl
CFL
Cfl
Ctl
cu
s
i
3
2
4
Al OAl 1
HI. 1 IS 1
1C PlK HI 1
1
1
1.81 387
1
(.hi 1 2 9
1
1
1
1
1 X
•f . o 1 s 3 ?
1
1
1
1
1
1
1
1 X
1
1
1
1.21 . ib
1 X
}.4l 60
1
1 I
1 I
0.21 4 J
1
1
I
1
1
1
1
1
t
1
1
1
1
1
75. tl 16*57
1.21 ;4b
1 i
1
1
1
1
1
1 X
i
1 X
1
1
.'.21 43
1 1
1
1
1
1
1
0.0 1 129
1
1
1
1
1
1
1 X
1
0.21 43
1
1
1 X
1
1
14.91 3226
3.81 17?
1 X
1
S
*
i
i
1
i
U
^ .•»
16.7
16 . 7
?--
26.2
19.1
2 .1
2.<>
Al CAl
UN11S
PI f. M
X
14
X
a
3t 1
X
X
X
k
3B1
X
} •»
1
51)**
X
*J6
X
X
X
X
X
X
X
X
i*
*
X
I
5*
X
i
3
s
t
1
4
U
20.2
fc.4
1.8
21.1
0.9
14. b
t.2
C.">
(-. 4
".0
6.4
0.9
7.3
AlLAl
I'M IS
FCK HI
a
X
744
a
X
a
a
237
66
77«
a
34
474
304
34
X
I
237
34
a
a
i
i
237
a
34
X
a
271
a
21
-------
lAKf HAfli : ill.CKIIH «fj
Slilkll HUHBIh: ^<(i3
TAIA
jtMUkA I?
ilMDPA JC IICAI1SS1RA
V. triGUSI ISS1HA
CUNTINUiD
10 oe 7*
II TRAfl'KUN CKACIll
II UMLkUN HlHIMUn
II H:»tr:«Uh niNlnun
V. SCkUBICULAlUR
IKAlMttUHnNAS H1SHDA
lktUb»Bl» SEllClKtN
IUUI
t,k«
Cll
CEl
Ctl
C£l
CEl
Cll
CCl
CEl
CEl
CEl
S
1C
l.C
AltAl
UNI IS
PER HI
ii->
I
X
S
u
7.1
s.d
AL OAl
units
Pt k ni
X
163
X
1C"»
ii
tc
Z.7
ALGAL
UNI IS
PER HI
I
I
1C1
21076
It; HO
22
-------
LAKE NAME I LAKE TANEYCOBO
STOKET MUMftEfts
NYGAAKU TROPHIC STATE INDUES
DATE os IG 7s ot> is 7s 06 30 ?s 10 os
MYXOPHYCEAN
CHLURCPHYCEAN
tUGlENCJPHYTE
DlATtm
COMPOUND
C/C 0
0/0 Li
0/0 7
O.SS t
U4/G t
Oi/0 t
owo t
0/Ob I
0.3o I
10/0 t
C'l/O E
03/0 E
0.29 E
0.50 E
13 /O E
0.50 E
1.50 E
0/0«i T
0.50 E
3.50 E
PALMER'S ORGANIC POLLUTION INDICES
DATE o* 10 ?<• o& i« 7<. oe 30 T> 10
GENUS
SPK 1ES
03
00
01
01
00
01
02
SPECIES DIVERSITY AND ABUNDANCE INDICES
DATE
AVERAGE DIVERSITY
uuneER JF TAX«
NUMBER UF SAMPLES CUMPOS1TEO
HAXIMUM DIVE RS1TY
hiNtmun UIVERSITY
1UTAL DIVERSITY
TOTAL NUftetR OF IND1V IDUAIS/«l
EVENESS COHPDMNT
RELATIVE tV[MS5
MEAN NUMBER UF 1ND 1VIDUALS/TAX*
NUMBER/MI OF MOST AbUNCANT TAXON
OS 10 7* 06 19 T» 08 30 7S 10 OS 7S
H
s
n
MAXH
M1NH
D
N
J
RJ
L
K
2.10
16. CO
2. 00
S.OO
(-.12
30tfc.OO
isto.oo
0.53
o.:><:
91. Z^
625.00
3.C6
27. CO
2.00
S.75
o.ss
19S3.1U
635.00
o.ts
O.bl
23.52
127.00
2.99
28.00
2.00
S.61
0. 3S
26U2.03
8V7. 00
0.62
0.60
3 2. OS
.179.00
1.03
17.00
2.00
S.09
0.07
3065.28
2976.00
0.25
0.2S
175.06
2SB6.00
23
-------
i*n N*nt i i AM untrcuno
',II!1<1 I MUHfcEt > 200'.
CLNT1NUID
lilt
ACHNANtHIS HICROCII>HAIA
ANAettNA
ASitrtlunuiA FORIIUSA
UCAIlun tilfcUNDlNUL*
I. UKACHrClRAS
( HL ArYUUMIINAS
CHRUIJKUNAS ACUIA
C^CCUNI IS
CLSHAIUUfl
It YHOHJNAS KUt >A
I YClUH UA
t YfBl ILA • 1
C mllUL A 12
C rnBULA 1 1
LJ»C I tlUCOCCiPSIS
f I AUdA VUllAKt
1 1C I rtsPiiAtftlui*
1/lhtutTQN bAVAMCun
L JNt.t-kYljN SLiClAlt
I DO I I I, A
f I AC i I I A II • ?
IIACIIAMA CRull'Nt ll IVACILN
', t « f*U u 1 f< 1 U H
crms IO«A
KICCHNI Kll HA
IThbBTA
ri IUSIHA
•f I OS IRA DIS1ANS
•UuSlkA C«ANUIAIA
"IIUSI»A OBAKUlAlA
». AM.UillSSIr'A
rlldSIBA VAK1ANS
HICi'OlrSMS INCtDlA
n«vlCL,lA il
NAVICLIA 12
H| I 7 SOU A
HII/SCMIA ACICUIARIS
Nl l?iCMlA I UHUXMIi
CSC III* Itk IA
PttlDlnlur ACIcui
PHACUS AlUHINAIUS
8APMII l.JPS ] S CUkVAlA
SCfhUliHUi UlMIICOtATtS
V. IIMAH1S
H I KLIjl iHU'j CUAOKICAUUA
SIACkAS IRJN
S I t PHtHijOl 51US
SUk IhtllA
SYNlPfA
Stl.UH DlllCtlll il«A
V. AI.Cl.SI IS«. IH«
STNIG^A U1NA
II lull Kiln ClNlncft
V. SCk^BI COlAlUh
II UAIORON IBlCUhUB
V. PtPlLl Ifl NUN
IlilAl
KRK
C( t
Ml
U I
CU
III
CM
Ctl
CU
Cll
Cf I
CU
CU
Itl
CEI
Cl I
Cf I
CU
cm
CU
CU
CU
CU
CU
CU
CU
CU
(t I
CU
1 11
CU
CU
CU
CU
Cl I
CDL
CU
CU
til
Cl I
CU
1 11
CU
CU
CU
CU
CCl
U'l
CU
IU
Cll
CU
CU
CU
CU
CU
MlAl
UM IS
S tC H« Ml
5
<>
3
1
f
e.fc
?.•)
Z.I
<•-«
31.-.
s/.e
e.6
>
>
I
li">
•,^
*i
>
•,z
O
X
t.Z»
1 ?i
t
Ai CA i
UKlI b
S XC PI k ni
?
3
1
*
S
Ij.i
t .0
13. *i
13. 't
t> . b
b . ti
13. s
O.t,
li,*t
1
Jl
1^7
1
>*Z
81)
I
I
X
I
b"3
X
i
i
X
*£
X
1
w
85
X
X
X
M
1
X
6b
ALGAL
L N 1 1 S
b 1C PIK Hi
•.
t
<.
i
j
i*.«)i i j<,
i i
5.0
K'.C
Jj.O
5.0
jo.n
K. C
i.O
1C .0
&
«
X
«!>
90
I
X
I
X
179
X
-.5
1 7<>
90
«.»
V
I
I
X
X
i
90
I
X
X
I
AIGA1
UNIIS
5 XC PlR «l
1
3
i
5.
.•>
1.4
?.a
1.4
1 2486
122
X
41
163
X
X
X
41
11
e?
X
X
41
X
I
I
I*ft0 «>}» 6-»T 29T6
24
-------
IAKE MAE: THOMAS Mill MIS.
STORM NUHEER: 2935
NYGAARD TROPHIC STATt INDICES
UATt C0 ?
0.50 E
a.oo t
1.5C i
5.50 t
0.71 i
1.00 t
IS.5 E
PAINER'S ORGANIC POLLUTION iNOHtS
DATE 0* OB ?<• Ob 20 T, 10 07 74
GENUS
SPECIES
00
00
01
00
11
03
SPECIES DIVERSITY AND ABUNDANCE INDICES
NUMBER
TOTAL NUnbER
ME AN NUflfifcR
NUMBER/HI Of
AVtRAOt DIVERSITY
NUKBIP OF TAXA
SAMPLES CDHPOS1TED
f.AXlMUM DIVERSITY
ftlNUMJM DlVEKSITT
IPTfcL DIVERSITY
Ot IND 1 V IDUA I S/ni
tVENESS rUHPDhENT
RELATIVE EVEKESS
OF IND 1 V 1DUAL S /TAXA
M3ST ABUNCAHT TAXON
DATE
H
S
H
HAXH
HINH
D
N
J
RJ
I
K
0+ 08 7* Ob ZO 7^ 10 07
3.01
15.00
3.00
3.91
0.37
71b.f 5
375.00
0.^9
U.*
1S3.7S
20-.5.00
25
-------
1AK( KAIIf I IhLKAi Hill HIS.
Sltlkf I HUnl.tt >
(INI IhUtC
1 . 07
ASAoAlHA
•».« i^ixjoi bms »«u»ios
APHAM/OHl IICN UUS-AUUAt
ciKAi:i>n
I . SPAimrCtSAS
CHI
OlkOOKCHAS ACUTA
CUSIfdim II
CU'jIUMLfl 12
C'CC 10t NIA UUADRAt A
CI-»PTUnlJNAS
l/IC I fLSPHAIFlUK
lUblENA
lUGltSA II
I DO UNA Oi "Otis
V. .UNO*
UGUNA SI/
tPAGUAklA CDU
I I ANU IA
f.i INOL ixiuK Ji
( urpHLSf ll«I( 1 A
PUlCHEILL'r
MfcCHMK 1LLLA 1UNAI. Ij
IE PtiClr.CH 5
rEKISIKA lllSIAHS
.•[IQSUA CNANULAlA
KIIU5IDA GRAHbLAlA
V. •f-GUbl ISSIHA
HI UUH1A
Ml WStHiA II
MIlStHIA IHT61 IOHI ILA
V. UIBIUS
IISC llLAIf/KIA
DSC IllAIOKIA (1
PHACUS
PHACUS fl
PHACUS
SCtNll-l S1US CIHUDPHUS
SCI NftilSruS INICRKEOI J5
CUAURICAUOA
lillCIKA
SKI 1C 10NIRA PUUfiLi
SICCHINODISCUS
SIEPHtNUblSCLS ASlKAlt
V. MInulUtA
SIM III*
[UVAIUKLN
II ItAlUkOd
ICACMUUnUNAS
in ACHl LUWjNAS
IOUI
ii.-m
( u
Cfl
i IL
Cll
in
CFl
CU
CIC
Ctl
Cfl
CUl
cm
Cfl
Ctl
cm
CCL
Cfl
Cll
Ctl
Cll
Cfl
CU
CPl
Cfl
Cfl
Cll
Cll
CU
Cll
CU
Cfl
Cll
1 U
III
Ctl
Cfl
Cfl
CCll
COl
COl
CU
Cll
CU
CU
CU
CU
CU
(U
Cfl
CU
Cl I
• ICAI
UKi IS
S 1C Uk Ml
2
I
<•
3
37. J
?S.l
l?.4
l"l. 1
1-.J
I
1
•»
I
I
•)•,
X
X
I
M CAl
UMIi
S XI US «l
z
•>
3
«3
X
W
.'11
t
I
lev
J
i!>3
X
AlGAl
l-Nlli
i 1C PIK HI
5
3
<•
<•
1
1 I
?.'.l 1-.6
1 I
1
0.81 <><>
3.?l 1<)1
1 1
».6I 3*1
o.ei <.«
i
i i
i i
i
i
1.61 97
1.61 97
1 >
1.61 V7
1 >
1 X
I
1 >
1 »
1 >
1 X
1 >
1 >
11.31 t>e;
I >
i
i «
I >
10. 11 U17
1
1 I
1
1
1
1 X
1 X
1 >
1 I
0.81
' . e i ".9
26
-------
LAKE NAME* NArrCPEUO ftfS.
STORE! NUMBER* 2«06
NYGAARD TROPHIC STATE INDICES
DAH OS 09 74 Ob 18 7F 1ND 1 V 1 DUALS / T AXA
NUMCIR/ML IU MOST ABUNDANT TAXON
04 09 74 06 18 74 10 08 74
H
S
M
XH
NH
D
N
J
RJ
L
K
3.59
35. OC
4.00
5.13
0.11
14517.96
4C44.00
C.70
0.70
115.54
967.00
4.34
62.00
4.00
5.95
0.15
24833. 4«
5722.00
0.73
0.73
9Z.29
786.00
1.63
32. }Q
4.00
5. JO
0.09
76b3.82
4714.00
0. 33
0.32
147.31
3341.00
27
-------
IAK( f,»tl I »AFPfHltU Kfi.
SI OK T NUHBIk : i-iit,
CCWI
.'<» 7-.
,6 It- 7s
IAXA
ACHNAMi'is MCPUriPHMA
e N A h A I N A
ANK J SlKL'UHhUS FAlCATjl
v . AC Km AM i
«N« I ilhul'CSPIJ' F AlC I I j",
V . fllkABI I IS
APIIAN1ZLIHI NLI. FlL.i-AV.JAI
APliAM IHIC E
A'j ItBIUHillA
Ai 1 Ik I.JMf I IA
V. HACHIIHA
CAk It t I A
UN IHIC MIAli.n
C£t AI IDfl H IKLNDIM II A
i . tHACiiTd R A<,
r 1 x »( lun Hiki'Ni IM 1 1 A
r . i ukt .11 ot s
(ML AWYL'jnCNA'
t jtlCifcl l-nirr AN I [i/.ni r.i
ChkLJljrLNA'j AC I1 I A
C I fi S 1 1 k I UH
COflA'IKUH
(.OF lASIBiJH M 1 ICUl A lul
'.fll L AStkUM SPHAEfc ICUI-
CkLC lit NlA bUAtHAl A
CBU11U 1|A II IkAPU l<
CHPKHUNA5 fkUSA
CK»PTLf1uN»l «Ull »A
CTAhUFHIfAN (UABl'll
C1CI3II IK
CICLUIItlA SULIU(K<
CtfLKlA
CrftEllA I I
(JAC I
UIC I
.taf IAH n AH crsi
I 1,1,11 KA
tul>Li».A
tjClft.A
(UOllr-A
ACUS
bkACll IS
IKAL11AKIA CKUIUhlN^lS
OLt NUtlHlON
f.YK.SICHA
KCIIihL 1(11 t CHUUAFI
UPOC INClli
lUNAll Clll
ITNCt TA
Hi I L"> Ik A C I5IANS
Kl K.i I't CkAHOlt lA
HI It/ilk A bKAhUtAU
V. AhbUSIIISIN*
1-UGHtA V«K|*HS
KID IUIUN C IkCUCAkl
in isnociuu HINIH>
IS AIPUHHUSA
«IIC*OC
IS £C K k M
113.31 1 J/
1 1 1
1 1
1 1 1
1 1
1 1
1 1 I
1 1 x
1 1
1 f.!l 66
1 1
1 1
1 1
1 1
1 1
1 1
1 1
1 1
1 1 1
1
1 1 1 .SI 1t> )
1 1
1 1
1 1
1 1
1 1
1 1
1 1 I
1 1
?i t.n )f>
M ?.n es
i i
i i
i i
i i
i i i
i t.<.i fit
i i i
i i
i i
i i
i i
11 3.31 132
1 1
1 1
1 1
1 1
1 1
1 J.3I \*i
1 1
1 1
1 1 I
1 1
1 1 >
1 1
i i. 11 ua
i i
i i
1 1^3.91 967
<.! 5.
1
1
1
V . •. 1 If
. .-.1 ?2
1
1 1
-' . t- 1 * "3
J . 11 It .'
1
1
1
1 »
1
1 >
I 3 . 1 ?«• 1
1 >
1
1 I
1 . 1. 1 <>v
1 I
J . b 1 4 ^
1
- .(• 1 4»
l.«.l «!,
-.<•! 2Z
1
.->t ill,
u.ol »i
1
1
i.;i t.7
i i
i
i
i
1 .. 1 c7
2. - 1 112
1 «
1
1 X
1 1
1 1
1
^.bt «. i
1 >
13.71 7tt>
b.bl *9
230
11«
1
I
>
I
S
X
I
I
33
i
i
i
i
28
-------
IAIU
Cl.NI INUID
T«IA
V. kt I ICUIAIUH
ft tljSFrtUlt II 7KAS
V. U IKAOCON
PHACUS
«Af Mil I J^ilS lUKII
SCt Ntl>l SrtUS 61 JUb
SCINHISHUS
CINURfMLi
SCHKIjIDkkl A 51 IIGf >(A
SHI If IbNtHA POUHUS
SUC 1HIL A
S>hl LlK,
STNIIlhA ACUS
STNiLJf'A LJ1NA
If ! k»l UIJDM I ] Hilt T Him
u IBAI uKUN niNinun
y. scujiu cui A IUH
II itu Uf.ON n>l<.0t4ii«
V. (.KAtllf
iii i :)inih«s
l 11//10N15 ItlffrMlJi
IF ACHIlUHClNAS JACblAIA
TtjtAL
7*
inn
cm
en
Ctl
cu
ML
CDl
cot
(.01
cot
cu
Cfl
cu
cu
cu
( U
cu
Cll
Ctl
Cll
Clt
Cll
s tc
1.1
1.1
Alitt
LM IS
Ft* HI
1
1
4*
44
I
X
1
1
IS X
1 .<'
v .4
.' . S
'. .a
<, <>.»
1 .0
V* • •»
41 OAl
ill, U S
L fll «l
I
I
X
1 61
1 >
li
12
4 :>
56 /
9 J
I
I
1)
?? 1
S t(
1 .3
?.i
i i.:
i
AtOAl
I'NI rs
Ht hi
i
u
1
60
k
11
11V
1
1)1
4714
29
-------
TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
. REPORT NO.
PA-600/3-79-065
3. RECIPIENT'S ACCESSION NO.
4. TITLE AND SUBTITLE
DISTRIBUTION OF PHYTOPLANKTON IN MISSOURI LAKES
5. REPORT DATE
June 1979
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
M.K. Morris, W.D. Taylor, L.R. Williams, S.C. Hern,
V.W. Lambou, F.A. Morris
8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Environmental Monitoring and Support Laboratory
Office of Research and Development
U.S. Environmental Protection Agency
Las Vegas, NV 89114
10. PROGRAM ELEMENT NO.
1BD884
11. CONTRACT/GRANT NO.
12. SPONSORING AGENCY NAME AND ADDRESS
J.S. Environmental Protection Agency-Las Vegas, NV
)ffice of Research and Development
Environmental Monitoring and Support Laboratory
Las Vegas, NV 89114
13 TYPE OF REPORT AND PERIOD COVERED
63-15-74 to 11-20-74
14. SPONSORING AGENCY CODE
EPA/600/07
15. SUPPLEMENTARY NOTES
16. ABSTRACT :
This is a data report presenting the species and abundance of phytoplankton
in the 6 lakes sampled by the National Eutrophication Survey in the State of
^lissouri. Results from the calculation of several water quality indices are also
included (Nygaard's Trophic State Index, Palmer's Organic Pollution Index, and
species diversity and abundance indices).
17.
KEY WORDS AND DOCUMENT ANALYSIS
a.
DESCRIPTORS
b.lDENTIFIERS/OPEN ENDED TERMS
COSATI Field/Group
*aquatic microbiology
lakes
phytoplankton
water quality
lissouri
ake eutrophication
tygaard's trophic indices
Elmer's organic pollu-
tion indices
pecies diversity and
ibundance indices
36 C, M
38 H
13 B
19. SECURITY CLASS (This Report)
RELEASE TO PUBLIC
••
E PA Form 2220-1 (R.v. 4-77)
21. NO. OF PAGES
36
22. PRICE
UNCLASSIFIED
A03
QQFVlOUS EDITION IS OBSOLETE
P"ev
U.S. GOVERNMENT PRINTING OFF ICL :
------- |