&EPA
United States
Environmental Protection
Agency
Office of Water
4304
EPA 822-B-00-010
December 2000
Ambient Water Quality
Criteria Recommendations
Information Supporting the Development
of State and Tribal Nutrient Criteria
Lakes and Reservoirs in
Nutrient Ecoregion VIII
-------
-------
EPA-822-B-00-010
AMBIENT WATER QUALITY CRITERIA RECOMMENDATIONS
FOR
LAKES AND RESERVOIRS IN NUTRIENT ECOREGION
VIII
Nut™»< Poor Largely Glaciated Upper Midwest and Northeast
including all or parts of the States of:
Maine, Nw Hampshire, Vermont, Massachuset, New York, NewJersey> Pennsylvani
Michigan, Wisconsin, Minnesota nnsyivam
and the authorized Tribes within the Ecoregion
U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF WATER
RF A?TwCAxSF^CIENCE ^ TECHNOLOGY
HEALTH AND ECOLOGICAL CRITERIA DIVISION
WASHINGTON, D.C
DECEMBER 2000
-------
-------
FOREWORD
This document presents EPA's nutrient criteria for Lakes and Reservoirs in Nutrient
Ecoregion VIII. These criteria provide EPA's recommendations to States and authorized Tribes
for use in establishing their water quality standards consistent with section 303(c) of CWA.
Under section 303(c) of the CWA, States and authorized Tribes have the primary responsibility
for adopting water quality standards as State or Tribal law or regulation. The standards must
contain scientifically defensible water quality criteria that are protective of designated uses.
EPA's recommended section 304(a) criteria are not laws or regulations - they are guidance that
States and Tribes may use as a starting point for the criteria for then- water quality standards.
The term "water quality criteria" is used in two sections of the Clean Water Act, Section
304(a)(l) and Section 303(c)(2). The term has a different impact in each section. In Section 304,
the term represents a scientific assessment of ecological and human health effects that EPA
recommends to States and authorized Tribes for establishing water quality standards that
ultimately provide a basis for controlling discharges or releases of pollutants or related
parameters. Ambient water quality criteria associated with specific waterbody uses when
adopted as State or Tribal water quality standards under Section 303 define the level of a
pollutant (or, in the case of nutrients, a condition) necessary to protect designated uses in ambient
waters. Quantified water quality criteria contained within State or Tribal water quality standards
are essential to a water quality-based approach to pollution control. Whether expressed as
numeric criteria or quantified translations of narrative criteria within State or Tribal water quality
standards, quantified criteria serve as a critical basis for assessing attainment of designated uses
and measuring progress toward meeting the water quality goals of the Clean Water Act.
EPA is developing section 304(a) water quality criteria for nutrients because States and
Tribes consistently identify excessive levels of nutrients as a major reason why as much as half
of the surface waters surveyed in this country do not meet water quality objectives, such as full
support of aquatic life. EPA expects to develop nutrient criteria that cover four major types of
waterbodies - lakes and reservoirs, rivers and streams, estuarine and coastal areas, and wetlands
- across fourteen major ecoregions of the United States. EPA's section 304(a) criteria are
intended to provide for the protection and propagation of aquatic life and recreation. To support
the development of nutrient criteria, EPA is publishing Technical Guidance Manuals that
describe a process for assessing nutrient conditions in the four waterbody types.
EPA's section 304(a) water quality criteria for nutrients provide numeric water quality
criteria, as well as procedures by which to translate narrative criteria within State or Tribal water
quality standards. In the case of nutrients, EPA section 304(a) criteria establish values for causal
variables (e.g., total nitrogen and total phosphorus) and response variables (e.g., turbidity and
chlorophyll a). EPA believes that State and Tribal water quality standards need to include
quantified endpoints for causal and response variables to provide sufficient protection of uses
and to maintain downstream uses. These quantified endpoints will most often be expressed as
n
-------
numeric water quality criteria or as procedures to translate a State or Tribal narrative criterion
into a quantified endpoint.
EPA will work with States and authorized Tribes as they adopt water quality criteria for
nutrients into their water quality standards. EPA recognizes that States and authorized Tribes
require flexibility in adopting numeric nutrient criteria into State and Tribal water quality
standards. States and authorized Tribes have several options available to them. EPA
recommends the following approaches, in order of preference:
(1) Wherever possible, develop nutrient criteria that fully reflect localized conditions and
protect specific designated uses using the process described in EPA's Technical Guidance
Manuals for nutrient criteria development. Such criteria may be expressed either as
numeric criteria or as procedures to translate a State or Tribal narrative criterion into a
quantified endpoint in State or Tribal water quality standards.
(2) Adopt EPA's section 304(a) water quality criteria for nutrients, either as numeric
criteria or as procedures to translate a State or Tribal narrative nutrient criterion into a
quantified endpoint.
(3) Develop nutrient criteria protective of designated uses using other scientifically
defensible methods and appropriate water quality data.
Geoffre
Office
ibbs, Director
Science and Technology
in
-------
DISCLAIMER
This document provides technical guidance and recommendations to States, authorized
Tribes, and other authorized jurisdictions to develop water quality criteria and water quality
standards under the Clean Water Act (CWA) to protect against the adverse effects of nutrient
overenrichment. Under the CWA, States and authorized Tribes are to establish water quality
criteria to protect designated uses. State and Tribal decision-makers retain the discretion to adopt
approaches on a case-by-case basis that differ from this guidance when appropriate and
scientifically defensible. While this document contains EPA's scientific recommendations
regarding ambient concentrations of nutrients that protect aquatic resource quality, it does not
substitute for the CWA or EPA regulations; nor is it a regulation itself. Thus it cannot impose
legally binding requirements on EPA, States, authorized Tribes, or the regulated community, and
it might not apply to a particular situation or circumstance. EPA may change this guidance in the
future.
IV
-------
-------
EXECUTIVE SUMMARY
Nutrient Program Goals
EPA developed the National Strategy for the Development of Regional Nutrient Criteria
(National Strategy) in June 1998. The strategy presents EPA's intentions to develop technical
guidance manuals for four types of waters (lakes and reservoirs, rivers and streams, estuaries and
coastal waters, and wetlands) and produce section 304(a) criteria for specific nutrient ecoregions
by the end of 2000. In addition, the Agency formed Regional Technical Assistance Groups
(RTAGs) which include State and Tribal representatives working to develop more refined and
more localized nutrient criteria based on approaches described in the waterbody guidance -.
manuals. This document presents EPA's current recommended criteria for total phosphorus, total
nitrogen, chlorophyll a, and turbidity for lakes and reservoirs in Nutrient Ecoregion VIE
(Nutrient Poor Largely Glaciated Upper Midwest and Northeast) which were derived using the
procedures described in the Lakes and Reservoirs Nutrient Criteria Technical Guidance Manual
(U.S. EPA, 2000a).
EPA's ecoregional nutrient criteria are intended to address cultural eutrophication- the adverse
effects of excess nutrient inputs. The criteria are empirically derived to represent conditions of
surface waters that are minimally impacted by human activities and protective of aquatic life and
recreational uses. The information contained in this document represent starting points for States
and Tribes to develop (with assistance from EPA) more refined nutrient criteria.
In developing these criteria recommendations, EPA followed a process which included, to the
extent they were readily available, the following elements critical to criterion derivation:
Historical and recent nutrient data in Nutrient Ecoregion VIII
Data sets from Legacy STORET, Lake Champlain MPD, NYCDEC, NYCDEP, EPA
Regions I and III were used to assess nutrient conditions from 1990 to 1998.
Reference sites/reference conditions in Nutrient Ecoregion VIII
Reference conditions presented in this document were calculated statistically using the
25 percentile of the entire nutrient database for each nutrient parameter. States and
Tribes are urged to determine their own reference sites for lakes and reservoirs within the
ecoregion at different geographic scales and to compare them to EPA's reference
conditions.
-------
• Models employed for prediction or validation
EPA did not identify any specific models used in the ecoregion to develop nutrient
criteria. States and Tribes are encouraged to identify and apply appropriate models to
support nutrient criteria development.
• RTAG expert review and consensus
EPA recommends that when States and Tribes prepare their nutrient criteria, they obtain
the expert review and consent of the RTAG.
• Downstream effects of criteria
EPA encourages the RTAG to assess the potential effects of the proposed criteria on
downstream water quality and uses.
In addition, EPA followed specific QA/QC procedures during data collection and analysis: All
data were reviewed for duplications. All data are from ambient waters that were not located
directly outside a permitted discharger. The following States indicated that their data were
sampled and analyzed using either Standard methods or EPA approved methods: Minnesota,
Michigan, New Hampshire, Maine.
The following tables contain a summary of Aggregate and level IE ecoregion values for
TN, TP, water column chl a, and turbidity:
BASED ON 25th PERCENTILE ONLY
Nutrient Parameters
Total phosphorus (/ug/L)
Total nitrogen (mg/L)
Chlorophyll a Cug/L) (Fluorometric method)
Secchi depth (meters)
Aggregate Nutrient Ecoregion VIII
Reference Conditions
8.0
0.24 reported (0.33 calculated)
2.43
4.93
For sub ecoregions, 49, 50, 58, 62, and 82, the ranges of nutrient parameter reference conditions
are:
VI
-------
BASED ON 25th PERCENTILE ONLY
Nutrient Parameters
Total phosphorus (Mg/L)
Total nitrogen (mg/L)
Chlorophyll a Og/L) (Fluorometric method)
Secchi depth (meters)
Range of Level III Subecoregions
Reference Conditions
7.0-10
0.20-0.44
1.38-2.7
4.0-6.1
Vll
-------
-------
NOTICE OF DOCUMENT AVAILABILITY
This document is available electronically to the public through the INTERNET at:
(http://www.epa.gov/OST/standards/nutrient.html). Requests for hard copies of the document
should be made to EPA's National Service Center for Environmental Publications (NSCEP),
11029 Kenwood Road, Cincinnati, OH 45242 or (513) 489-8190 or toll free (800) 490-9198.
Please refer to EPA document number EPA-822-R-00-010.
vm
-------
-------
ACKNOWLEDGMENTS
The authors thankfully acknowledge the contributions of the following State and Federal
reviewers: EPA Regions 1, 2, 3 and 5; the States of Maine, New Hampshire, Vermont,
Massachuset, New York, Pennsylvania, Michigan, Wisconsin and Minnesota; the Tribes within
the Ecoregion; EPA Headquarters personnel from the Office of Wetlands, Oceans and
Watersheds, Office of Wastewater Management, Office of General Counsel, Office of Research
and Development, and the Office of Science and Technology. EPA also acknowledges the
external peer review efforts of Eugene Welch (University of Washington), Robert Carlson (Kent
State University), Steve Heiskary (Minnesota Pollution Control Agency), Greg Denton and
Sherry Wang (Tennessee Department of Environment and Conservation), and Gerhard Kuhn
(U.S. Geological Survey).
IX
-------
-------
LISTS OF TABLES AND FIGURES
Figures
Figure 1
Figure 2
Figures
Figure 4a
Figure 4b
Tables
Table 1
Table 2
Table 3a-e
Aggregate Ecoregion VIII 7
Aggregate Ecoregion Vm with level IE ecoregions shown 9
Sampling locations within each level HI ecoregion 11
Illustration of data reduction process for lake data 21
Illustration of reference condition calculation 22
Lake and reservoir records for Aggregate Ecoregion - Nutrient
Poor Largely Glaciated Upper Midwest and Northeast 12
Reference conditions for Aggregate Ecoregion Vm lakes 14
Reference conditions for level III ecoregion lakes 15
-------
-------
TABLE OF CONTENTS
Foreword ii
Disclaimer jv
Executive Summary v
Notice of Document Availability viii
Acknowledgments jx
List of Tables and Figures x
Table of Contents xi
1.0 Introduction i
2.0 Best Use of this Information 4
3.0 Area Covered by This Document (waterbody type and ecoregion) 6
3.1 Description of Aggregate Ecoregion VEI-Nutrient Poor largely Glaciated Upper
Midwest and Northeast 6
3.2 Geographical Boundaries of Aggregate Ecoregion VTIE 7
3.3 Level HI Ecoregions within Aggregate Ecoregion VTfl 7
4.0 Data Review for Lakes and Reservoirs in Aggregate Ecoregion VTTT 9
4.1 Data Sources 10
4.2 Historical Data from Aggregate Ecoregion Vni (TP, TN, Chi a, Turbidity) 10
4.3 QA/QC of Data Sources 10
4.4 Data for All Lakes/Reservoirs within Aggregate Ecoregion Vin 10
4.5 Statistical Analysis of Data 13
4.6 Classification of Lake/Reservoir Type 19
4.7. Summary of Data Reduction Methods 20
5.0 Reference Sites and Conditions in Aggregate Ecoregion VHI 23
6.0 Models Used to Predict or Verify Response Parameters 23
7.0 Framework for Refining Recommended Nutrient Criteria for Lakes and Reservoirs in
Aggregate Ecoregion Vm 23
xi
-------
7.1 Example Worksheet for Developing Aggregate Ecoregion and Subecoregion Nutrient
Criteria 24
7.2 Tables of Refined Nutrient Water Quality Criteria for Aggregate Ecoregion VIII and
Level III Subecoregions 25
7.3 Setting Seasonal Criteria 26
7.4 When Data/Reference Conditions Are Lacking 27
7.5 Site-Specific Criteria Development 27
8.0 Literature Cited 27
9.0 Appendices 28
XII
-------
1.0 INTRODUCTION
Background
Nutrients are essential to the health and diversity of our surface waters However in
health risks, such as the growth of harmful algal blooms - most recently maiLCSthe
^^
shifts
^^
; and coastal waters, and wetlands) and,
tions for specific nutrient ecoregions
-------
criteria values for a specific waterbody type. In addition, EPA is committed to-working with
States and Tribes to develop more refined and more localized nutnent criteria based on
approaches described in the waterbody guidance manuals and this document.
Overview of the Nutrient Criteria Development Process
For each Nutrient Ecoregion, EPA developed a set of recommendations for two causal
variables (total nitrogen and total phosphorus) and two early indicator response variables
(chlorophyll a and some measure of turbidity). Other indicators such as dissolved oxygen and
macrophyte growth or speciation, and other fauna and flora changes are also deemed useful.
However, the first four are considered to be the best suited for protecting designated uses.
The technical guidance manuals describe a process for developing nutrient criteria that
involves consideration of five factors. The first of these is the Regional Technical Assistance
Group (RTAG) which is a body of qualified regional specialists able to objectively evaluate all ot
the available evidence and select the value(s) appropriate to nutrient control in the water bodies of
concern. These specialists may come from such disciplines as limnology, biology, natural
resources management- especially water resource management, chemistry, and ecology, ine
RTAG evaluates and recommends appropriate classification techniques for criteria determination,
usually physical within an ecoregional construct.
The second factor is the historical information available to establish a perspective of the
resource base This is usually data and anecdotal information available within the past ten-twenty
five years. This information gives evidence about the background and enrichment trend of the
resource.
The third factor is the present reference condition. A selection of reference sites chosen to
represent the least culturally impacted waters of the class existing at the present time. The data
from these sites is combined and a value from the distribution of these observations is selected to
represent the reference condition, or best attainable, most natural condition of the resource base at
this time.
A fourth factor often employed is theoretical or empirical models of the historical and
reference condition data to better understand the condition of the resource.
The RTAG comprehensively evaluates the other three elements to propose a candidate
criterion (initially one each for TP, TN, chl a, and some measure of turbidity).
The last and final element of the criteria development process is the assessment by the
RTAG of the likely downstream effects of the criterion. Will there be a negative, positive, or
neutral effect on the downstream waterbody? If the RTAG judges that a negative effect is likely,
then the proposed State/Tribal water quality criteria should be revised to ameliorate the potential
for any adverse downstream effects.
-------
While States and authorized Tribes would not necessarily need to incorporate all five
elements into their water quality criteria setting process (e.g., modeling may be significant in only
some instances), the best assurance of a representative and effective criterion for nutrient
management decision making is the balanced incorporation of all five elements, or at least all
elements except modeling.
Because some parts of the country have naturally higher soil and parent material
enrichment, and different precipitation regimes, the application of the criterion development
process has to be adjusted by region. Therefore, an ecoregional approach was chosen to develop
nutrient criteria appropriate to each of the different geographical and climatological areas of the
country. Initially, the continental U.S. was divided into 14 separate ecoregions of similar
geographical characteristics. Ecoregions are defined as regions of relative homogeneity in
ecological systems; they depict areas within which the mosaic of ecosystem components (biotic
and abiotic as well as terrestrial and aquatic) is different than adjacent areas in a holistic sense.
Geographic phenomena such as soils, vegetation, climate, geology, land cover, and physiology
that are associated with spatial differences in the quantity and quality of ecosystem components
are relatively similar within each ecoregion.
The Nutrient ecoregions are aggregates of U.S. EPA's hierarchal level m ecoregions. As
such, they are more generalized and less defined than level m ecoregions. EPA determined that
setting ecoregional criteria for the large scale aggregates is not without its drawbacks - variability
is high due to the lumping of many waterbody classes, seasons, and years worth of multipurpose
data over a large geographic area. For these reasons, the Agency recommends that States and
Tribes develop nutrient criteria at the level HI ecoregional scale and at the waterbody class scale
where those data are readily available. Data analyses and recommendations on both the large
aggregate ecoregion scale as well as more refined scales (level m ecoregions and waterbody
classes), where data were available to make such assessments, are presented for comparison
purposes and completeness of analysis.
Relationship of Nutrient Criteria to Biological Criteria
Biological criteria are quantitative expressions of the desired condition of the aquatic
community. Such criteria can be based on an aggregation of data from sites that represent the
least-impacted and attainable condition for a particular waterbody type in an ecoregion,
subecoregion, or watershed. EPA's nutrient criteria recommendations and biological criteria
recommendations have many similarities in the basic approach to their development and data
requirements. Both are empirically derived from statistical analysis of field collected data and
expert evaluation of current reference conditions and historical information. Both utilize direct
measurements from the environment to integrate the effects of complex processes that vary
according to type and location of waterbody. The resulting criteria recommendations, in both
cases, are efficient and holistic indicators of water quality necessary to protect uses.
States and authorized Tribes can develop and apply nutrient criteria and biological criteria
in tandem, with each providing important and useful information to interpret both the nutrient
-------
enrichment levels and the biological condition of sampled waterbodies. For example, using the
same reference sites for both types of criteria can lead to efficiencies in both sample design and
data analysis. In one effort, environmental managers can obtain information to support
assessment of biological and nutrient condition, either through evaluating existing data sets or
through designing and conducting a common sampling program. The traditional biological
criteria variables of benthic invertebrate and fish sampling can be readily incorporated to
supplement a nutrient assessment. To demonstrate the effectiveness of this tandem approach,
EPA has initiated pilot projects in both freshwater and marine environments to investigate the
relationship between nutrient overenrichment and apparent declines in diversity indices of benthic
invertebrates and fish.
2.0 BEST USE OF THIS INFORMATION
EPA recommendations published under section 304(a) of the CWA serve several ,.
purposes, including providing guidance to States and Tribes in adopting water quality standards
for nutrients mat ultimately provide a basis for controlling discharges or releases of pollutants.
The recommendations also provide guidance to EPA when promulgating Federal water quality
standards under section 303(c) when such action is necessary. Other uses include identification of
overenrichment problems, management planning, project evaluation, and determination of status
and trends of water resources.
State water quality inventories and listings of impaired waters consistently rank nutrient
overenrichment as a top contributor to use impairments. EPA's water quality standards
regulations at 40 CFR §131.11 (a) require States and Tribes to adopt criteria that contain sufficient
parameters and constituents to protect the designated uses of their waters. In addition, States and
Tribes need quantifiable targets for nutrients in their standards to assess attainment of uses,
develop water quality-based permit limits and source control plans, and establish targets for total
maximum daily loads (TMDLs).
EPA expects States and Tribes to address nutrient overenrichment in their water quality
standards, and to build on existing State and Tribal initiated efforts where possible. States and
Tribes can address nutrient overenrichment through establishment of numerical criteria or through
use of new or existing narrative criteria statements (e.g., free from excess nutrients that cause or
contribute to undesirable or nuisance aquatic life or produce adverse physiological response in
humans, animals, or plants). In the case of narrative criteria, EPA expects that States and Tribes
establish procedures to quantitatively translate these statements for both assessment and source
control purposes.
The intent of developing ecoregional nutrient criteria is to represent conditions of surface .
waters that are minimally impacted by human activities and thus protect against the adverse
effects of nutrient overenrichment from cultural eutrophication. EPA's recommended process for
developing such criteria includes physical classification of waterbodies, determination of current
reference conditions, evaluation of historical data and other information (such as published
literature), use of models to simulate physical and ecological processes or determine empirical
-------
relationships among causal and response variables (if necessary), expert judgement, and
evaluation of downstream effects. To the extent allowed by the information available, EPA has
used elements of this process to produce the information contained in this document. The values
for both causal (total nitrogen, total phosphorus) and biological and physical response
(chlorophyll a, turbidity) variables represent a set of starting points for States and Tribes to use in
establishing their own criteria in standards to protect uses.
In its water quality standards regulations, EPA recommends that States and Tribes
establish numerical criteria based on section 304(a) guidance, section 304(a) guidance modified to
reflect site-specific conditions, or other scientifically defensible methods. For many pollutants,
such as toxic chemicals, EPA expects that section 304(a) guidance will provide an appropriate
level of protection without further modification in most cases. EPA has also published methods
for modifying 304(a) criteria on a site-specific basis, such as the water effect ratio, where site-
specific conditions warrant modification to achieve the intended level of protection. For nutrients,
however, EPA expects that, in most cases, it will be necessary for States and authorized Tribes to
identify with greater precision the nutrient levels that protect aquatic life and recreational uses.
This can be achieved through development of criteria modified to reflect conditions at a smaller
geographic scale than an ecoregion such as a subecoregion, the State or Tribe level, or specific
class of waterbodies. Criteria refinement can occur by grouping data or performing data analyses
at these smaller geographic scales. Refinement can also occur through further consideration of
other elements of criteria development, such as published literature or models.
The values presented in this document generally represent nutrient levels that protect
against the adverse effects of nutrient overenrichment and are based on information available to
the Agency at the time of this publication. However, States and Tribes should critically evaluate
this information in light of the specific designated uses that need to be protected. For example,
more sensitive uses may require more stringent values as criteria to ensure adequate protection.
On the other hand, overly stringent levels of protection against the adverse effects of cultural
eutrophication may actually fall below levels that represent the natural load of nutrients for certain
waterbodies. In cases such as these, the level of nutrients specified may not be sufficient to
support a productive fishery. In the criteria derivation process, it is important to distinguish
between the natural load associated with a specific waterbody and current reference conditions,
using historical data and expert judgement. These elements of the nutrient criteria derivation
process are best addressed by States and Tribes with access to information and local expertise.
Therefore, EPA strongly encourages States and Tribes to use the information contained in this
document and to develop more refined criteria according to the methods described in EPA's
technical guidance manuals for specific waterbody types.
To assist in the process of further refinement of nutrient criteria, EPA has established ten
Regional Technical Advisory Groups (experts from EPA Regional Offices and States/Tribes). In
the process of refining criteria, States and authorized Tribes need to provide documentation of
data and analyses, along with a defensible rationale, for any new or revised nutrient criteria they
submit to EPA for review and approval. As part of EPA's review of State and Tribal standards,
EPA intends to seek assurance from the RTAG that proposed criteria are sufficient to protect uses.
-------
In the process of using the information and recommendations contained in this document,
as well as additional information, to develop numerical criteria or procedures to translate narrative
criteria, EPA encourages States and Tribes to:
• Address both chemical causal variables and early indicator response variables. Causal
variables are necessary to provide sufficient protection of uses before impairment occurs
and to maintain downstream uses. Early response variables are necessary to provide
warning signs of possible impairment and to integrate the effects of variable and
potentially unmeasured nutrient loads.
• Include variables that can be measured to determine if standards are met, and variables
that can be related to the ultimate sources of excess nutrients.
• Identify appropriate periods of duration (i.e., how long) and frequency (i.e., how often) of
occurrence in addition to magnitude (i.e., how much). EPA does not recommend
identifying nutrient concentrations that must be met at all times, rather a seasonal or
annual averaging period (e.g., based on weekly measurements) is considered appropriate.
However, these seasonal or annual central tendency measures should apply each season or
each year, except under the most extraordinary of conditions (e.g., a 100 year flood).
3.0 AREA COVERED BY THIS DOCUMENT
The following sections provide a general description of the aggregate ecoregion and its
geographical boundaries. Descriptions of the level IE ecoregions contained within the aggregate
ecoregion are also provided.
3.1 Description of Aggregate Ecoregion VIII - Nutrient Poor Largely Glaciated Upper
Midwest and Northeast
The Nutrient Poor Largely Glaciated Upper Midwest and Northeast is cool and moist. It is
characterized by extensive forests, nutrient-poor soils, a short growing season, limited cropland,
and many marshes, swamps, lakes, and streams. Less cropland and fewer people occur here than
in neighboring nutrient regions; related nutrient problems in surface waters are also less. Water
quality issues center around the effects of acid precipitation, logging, lake recreation, and near-
lake septic systems.
Perennial streams are common and are often fed by water stored in the glacial deposits that
overlie non-calcareous bedrock. Streams typically have low concentrations of alkalinity, sulfate,
chloride, and dissolved solids due, partly, to the insolubility of the bedrock. Levels of fecal
coliform, total nitrogen, total phosphorus, and suspended sediment are also usually low; stream
concentrations of these constituents are typically much less than in nearby, more developed
nutrient regions.
Many oligotrophic and mesotrophic lakes occur in Region VTfl. Total phosphorus
concentrations are usually much lower, and Secchi transparencies are much higher than hi the
6
-------
lakes of the Corn Belt and Northern Great Plains (VI). Acid precipitation caused by airborne
emissions from upwind industrialized regions is a major water quality problem in the eastern
portion of Region VIII and can threaten fish survival in weakly buffered glacial lakes.
Geographic Boundaries of Aggregate Ecoregion VIII
Ecoregion VIII is a fragmented region in the northeast portion of the United States. The
region includes almost the entire States of Maine, New Hampshire and Vermont. In addition
small portions of Massachuset, New York and Pennsylvania are included in the region. To the
west of Pennsylvania, the northern most portions of Michigan, Wisconsin and Minnesota are
encompassed in Ecoregion VHL
Aggregate Nutrient Ecoregion 8
Figure 1. Aggregate Ecoregion VIE
3.3 Level III Ecoregions Within Aggregate Ecoregion VIII
49. Northern Minnesota Wetlands
Much of the Northern Minnesota Wetlands is a vast and nearly level marsh that is sparsely
inhabited by humans and covered by swamp and boreal forest vegetation Formerly occupied by
broad glacial lakes, most of the flat terrain in this ecoregion is still covered by standing water.
-------
50. Northern Lakes and Forests
The Northern Lakes and Forests is a region of nutrient poor glacial soils, coniferous and northern
hardwood forests, undulating till plains, morainal hills, broad lacustrine basins, and extensive
sandy outwash plains. Soils in this ecoregion are thicker than in those to the north and generally
lack the arability of soils in adjacent ecoregions to the south. The numerous lakes that dot the
landscape are clearer and less productive than those in ecoregions to the south.
58. Northeastern Highlands
The Northeastern Highlands comprise a relatively sparsely populated region characterized by
nutrient poor soils blanketed by northern hardwood and spruce fir forests. Land-surface form in
the region grades from low mountains in the southwest and central portions to open high hills in
the northeast. Many of the numerous glacial lakes in this region have been acidified by sulfur
depositions originating in industrialized areas upwind from the ecoregion to the west.
62. North Central Appalachians
More forest covered than most adjacent ecoregions, the North Central Appalachians ecoregion is
part of a vast, elevated plateau composed of horizontally bedded sandstone, shale, siltstone,
conglomerate, and coal. It is made up of plateau surfaces, high hills, and low mountains, which
unlike the ecoregions to the north and west, was largely unaffected by continental glaciation.
Only a portion of the Poconos section in the east has been glaciated. Land use activities are
generally tied to forestry and recreation, but some coal and gas extraction occurs in the west.
82. Laurentian Plain and Hills
This mostly forested region of dense concentrations of continental glacial lakes is less rugged than
the Northeastern Highlands to the west and considerably less populated than the ecoregion to the
south. Vegetation here is mostly spruce-fir with some patches of maple, beech birch, and the soils
are predominantly Spodisols. By contrast, the forests in the Northeastern Coastal Zone to the
south are mostly white, red, and jack pine and oak-hickory, and the soils are generally Inceptisols
andOxisols.
-------
Aggregate Nutrient Ecoregion 8
Ecoregion ID
Figure 2. Aggregate Ecoregion VIII with level III
Suggested Ecoregional subdivisions or adjustments
ecoregions shown
4.0 DATA REVIEW FOR
ECOREGION Vm
AGGREGATE
^^^^
-------
4.1 Data Sources
Data sets from Legacy STORET, LCMPD, NYCDEC, NYCDEP, EPA Regions I and HI
were used to assess nutrient conditions from 1990 to 1999. The great ^ajonty of the data
contribution to the data summarized in this report is derived from Legacy STORET. EPA _
recommends mat the RTAGs identify additional data sources that can be used to supplement the
data sets listed above. In addition, the RTAGs may utilize published literature values to support
quantitative and qualitative analyses.
4.2 Historical Data from Aggregate Ecoregion Vffl (TP, TN, Chlor a and Secchi Depth)
Subecoregions 49,50,58 and 82 have remained fairly stable according to reports from
lake managers in those areas. Subecoregion 62 has been subject to developmental pressure. EPA
recommends that States/Tribes assess long-term trends observed over the past 50 years. This
information may be obtained from scientific literature or documentation of historical trends, f o
gain additional perspective on more recent trends, it is recommended that States and Tnbes assess
nutrient trends over the last 10 years' (e.g., what do seasonal trends indicate?)
4.3 QA/QC of data sources
An initial quality screen of data was conducted using the rules presented in Appendix C.
Data remaining after screening for duplications and other QA measures (e.g., poor or unreported
analytical records, sampling errors or omissions, stations associated with outfalls, storm water
sewers, hazardous waste sites) were the data used in the statistical analyses.
States within Ecoregion VIE were contacted regarding the quality of their data. The
following States provided information on the methods used to sample and analyze their waters:
Minnesota, Michigan, New Hampshire, Maine. The other States in the Ecoregion did not provide
information prior to the publication of this document.
4.4 Data for all Lakes/Reservoirs within Aggregate Ecoregion VIII
The map in Figure 3 shows the location of the sampling stations within each sub
ecoregion. Table 1 presents all data records for all parameters for Aggregate Ecoregion VIII and
subecoregions within the Aggregate Ecoregion.
10
-------
Aggregate Nutrient Ecoregion 8
Lake and Reservoir Stations
Level III Ecoregions
J ED "5 States
stations
100 0 100 200 Miles
Figure 3 Sampling locations within each level IE ecoregion.
11
-------
•o
e
•4^*
cn
j^
2
S
IM
Oi
Ot
TS
Ql
-S
.2
R
O
"w*
DJD
T
^^
2
o
CM
'a
.2
*«
s
Z
1—4
HH
a
_o
"BJD
g'
0
5
CUD
a>
i.
CUD
CUD
J^
tn
•o
0
o
2J
£
a
_J
-5-S
A ,£j
a €
H|
Z
0
Q_>
JD
0 01
CO 00
c£
0
8
"§ J^,
CO vo
Pi
8
u
0
^ oo
CO «0
PH
O
3 O
CO «0
Pi
o
o
u
,-,
CO -*
"S .2
OO QjQ
5^ (D
M 8 B
< w >
^_
c^
«n
"-1
ON
^J-
oo
^^
CO
3
oo
^^
CO
OJ.
# of Lakes / Reservoirs
CO
E
ON
co
00
ON
°°R
'r~l
^-
^-i
t— i
5?
VO
# of Lake Stations
Key Nutrient Parameters (listed
below)
0)
f^.
01
of
r— 1
i-H
ON
"*
£
•^
Tf
Ol
vo
01
Vt
3
1— 1
1— C
^^
^)
r.
- # of records for Total
Kjeldahl Nitrogen (TKN)
0
oo
*o
f^.
'*
O)
ON
.,
^
ON
w>
of
•^j-
VO
CO
t""^.
2
- # of records for Nitrate +
Nitrite (NO2 + NO3)
CO
'Sj'
CO
ON
*""*
t-
o
o
en
- # of records for Total
Nitrogen (TN)
ON
ON
^
01
01
•"J.
m
o
ON
""i
VO
*""*
VO
m
oo"
01
ON
ON
oo
oo
- # of records for Total
Phosphorus (TP)
ON
oo
°\
i— <
01
co
O
VI
of
01
oo
r\
vo
VO
oo
01
ON^
£
Tj-
t
co-
ol
T— H
^^
CN"
r-H
Total # of records for key
nutrient parameters
-------
Definitions used to complete Table 1:
1. # of records refers to the total count of observations for that
parameter over the entire decade (1990-1999) for that particular
aggregate or subecoregion. These are counts for all seasons over
that decade.
2. # of lake stations refers to the total number of lake and
reservoir stations within the aggregate or subecoregion from
which nutrient data were collected. Since lakes and reservoirs
can cross ecoregional boundaries, it is important to note that only
those portions of a lake or reservoir (and data associated with
those stations) that exist within the ecoregion are included within
this table.
4.5 Statistical Analysis of Data
to
Guidance Manual for Developing Nutrient Criteria for Lakes and
*WayS °f-f f bjishi^ a reference condition. One method is to choose the
t ur f Percentlle) °f * reference population of lakes. This is the preferred
to establish a reference condition. The 75* percentile was chosen by EPA sfnceTfs
likely associated with minimally impacted conditions, will be protective of Lignated uses
provides management flexibility. When reference lakes are not identified, ti^H£mS
determine the lower 25* percentile of the population of all lakes within a region Tte £*
percentile of the entire population was chosen by EPA to represent a surrogate for an actual
reference population. Data analyses to date indicate that the lower 25th percentile from
population roughly approximates the 75* percentile for a reference population (
m S ™ fa!8* ^ L tn f RT6SerVOirS NUtrfent Criteria ™*°* Guidanco
[US EPA, 2000aJ the case study for Tennessee streams in the Rivers and Streams Nutrient
Snartrn ? f P ^ ^^ ^ EPA> 200<^> and the letter from Tennessee
Department of Environment and Conservation to Geoffrey Grubbs [TNDEC, 20001) New York
State has also presented evidence that the 25* percentile and the 75* percentile comparTweU
based on user perceptions of water resources (NYSDEC, 2000).
aaOT f°llowing lf !es 2 "d 3a-e> Present the potential reference conditions for both the
aggregate ecoregion and the subecoregions using both methods. However, the reference lake
column is left blank because EPA does not have observed reference data J TantTcipTtes maf
States will provide information on reference lakes. Appendix A provides a compSeseTation
of all descriptive statistics for both the aggregate ecoregion and L level ffi Zecoreg on
13
-------
Table 2. F
=========
Parameter
========
TKN(mg/L)
NO2 + NO3(mg/L)
TN (mg/L) - calculated
TN (mg/L) - reported
TP(ug/L)
Secchi (meters)
Chlorophyll n(ug/L)-F
Chlorophyll « («g/L) - S
Chlorophyll
-------
Table 3a. Reference conditions for level III ecoregion 49.
=========================-—-
25th Percentiles based on all
seasons data for the Decade
No. of
Lakes
Reported values
Reference Lakes
**
NO2 + NO3(mg/L)
TN(mg/L)-calculated
TN (mg/L) - reported
TP (ug/L)
Secchi (meters)
Chlorophyll a (ug/L) - F
:hlorophyll a (ug/L) - S
Chlorophyll a (ug/L) - T
13
NA
22
28
' 21
0.007
0.33
10
0.58
1.13
0.06
1.06
55
6.14
8.85
0.009
0.499
10
4.0
2.70
Table 3b. Reference conditions for level III ecoregion 50.
15
-------
Table 3c. Reference conditions for level III ecoregion 58
25th Percentiles based on all
seasons data for the Decade
TKN (mg/L)
••^••••••m*"^"""
NO2 + N'O3(mg/LO
Table 3d. Reference conditions for level III ecoregion 62
25" Percentiles based on all
seasons data for the Decade
16
-------
Table 3e. Reference conditions for level III ecoregion 82.
Parameter
TKN (mg/L)
NO2 + NO3 (mg/L)
TN (mg/L) - calculated
TN (mg/L) - reported
TP («g/L)
Secchi (meters)
Chlorophyll a (ugfL) - F
Chlorophyll a (ug/L) - S
Chlorophyll a («g/L) - T
No. Of
Lakes
N"
-
-
NA
33
261
284
-
-
Reported values
Min
-
-
-
0.1S
3.0
0.9
-
—
Max
-
-
-
1.77
60.13
13.8
-
-
25ih Percentiles based on all
seasons data for the Decade
P25* all seasons +
-
-
-
0.23
8.0
6.1
-
- .
Reference Lakes **
P75 all seasons
17
-------
Definitions used in filling Tables 2 and 3 - Reference Condition tables
1. Number of Lakes in Table 2 refers to the largest number of lakes and
reservoirs for which data existed for a given season within an aggregate nutrient
ecoregion.
2. Number of Lakes in Table 3 refers to the number of lakes and reservoirs for
which data existed for the summer months since summer is generally when the
greatest amount of nutrient sampling is conducted. If another season greatly
predominates, notification is made (s=spring, f=fall, w=winter).
3. Medians. All values (min, max, and 25th percentiles) included in the table are
based on waterbody medians. All data for a particular parameter within a lake
for the decade were reduced to one median for that lake. This prevents over-
representation of individual waterbodies with a great deal of data versus those
with fewer data points within the statistical analysis.
4. 25th percentile for all seasons is calculated by taking the median of the 4
seasonal 25th percentiles. If a season is missing, the median was calculated with 3
seasons of data. If less than 3 seasons were used to derive the median, the entry is
flagged (z).
5. A 25th percentile for a season is best derived with data from a minimum of 4
lakes/season. However, this table provides 25th percentiles that were derived with
less than 4 lakes/season in order to retain all information for all seasons. In
calculating the 25th percentile for a season with less than 4 lake medians, the
statistical program automatically used the minimum value within the less-than-4
population. If less than 4 lakes were used in developing a seasonal quartile and or
all-seasons median, the entry is flagged (zz).
Preferred Data Choices and Recommendations When Data Are Missing
1. Where data are missing or are very low in total records for a given parameter, use 25th
percentiles for parameters within an adjacent, similar subecoregion within the same aggregate *
nutrient ecoregion or when a similar subecoregion can not be determined, use the the 25th
percentile for the Aggregate ecoregion or consider the lowest 25th percentile from a subecoregion
(level III) within the aggregate nutrient ecoregion. The rationale being that without data, one may
assume that the subecoregion in question may be as sensitive as the most sensitive subecoregion
within the aggregate.
18
-------
2. TN calculated: When reported Total Nitrogen (TN) median values are lacking or very low in
comparison to TKN and Nitrate/Nitrite-N values, the medians for TKN and nitrite/nitrate-N were
added, resulting in a calculated TN value. The number of samples (N) for calculated TN is not
filled in since it is represented by two subsamples of data: TKN and nitrite/nitrate-N Therefore
N/A is placed in this box.
3. TN reported: This is the median based on reported values for TN from the database.
4. Chlorophyll a: Medians based on all methods are reported, however, the acid corrected
medians are preferred to the uncorrected medians. In developing a reference condition from a
particular method, it is recommended that the method with the most observations be used
Fluorometric and Spectrophotometric are preferred over all other methods. However when no
data exist for Fluorometric and Spectrophotometric methods, Trichromatic values may be used
Data from the variance techniques are not interchangeable.
5. Periphyton: Where periphyton data exist, record them separately For periphyton-dominated
streams, a measure of periphyton chlorophyll is a more appropriate response variable than
planktomc chlorophyll a. See Table 4, p. 101 of the Rivers and Streams Nutrient Technical
Guidance Manual (U. S. EPA, 2000b) for values of periphyton and planktonic chlorophyll a
related to eutrophy in streams.
6- Secchi depth: The 75th percentile is reported for Secchi depth since this is the only variable for
which the value of the parameter increases with greater clarity. (For lakes and reservoirs only.)
7. Turbidity units: AH turbidity units from all methods are reported. FTUs and NTUs are
preferred over JCUs. If FTUs and NTUs do not exist, use JCUs. These units are not
interchangeable. Turbidity is chosen as a response variable in streams since it can be an indicator
of increasing algal biomass due to nutrient enrichment. See pages 32 -33 of the Rivers and
Streams Nutrient Technical Guidance Manual for a discussion of turbidity and correlations with
algal growth.
8. Lack of data: A dash (-) represents missing, inadequate, or inconclusive data. A zero (0) is
reported if the reported median for a parameter is 0 or if the component value is below detection.
4.6. Classification of Lake/Reservoir Type
It is anticipated that assessing the data by lake type will further reduce the variability in
the data analysis. There were no readily available classification data in the National datasets used
to develop these criteria. States and Tribes are strongly encouraged to classify their lakes before
developing a final criterion.
19
-------
4.7. Summary of Data Reduction Methods
All descriptive statistics were calculated using the medians for each lake within ecoregion
Vin, for which data existed. For example, if one lake had 300 observations for phosphorus over
the decade or one year's time, one median resulted. Each median from each lake was then used in
calculating the percentiles for phosphorus for the aggregate nutrient ecoregion/subecoregion (level
m ecoregion) by season and year (Figure 4a & b).
20
-------
Observations for All Lakes/Reservoirs
Ecoregion
Data Reduced^
to
Median Value
for each
Lake/Reservoir
Winter
Rainy Lake Median
Rsh Reservoir Median
Swan Lake Median
Moon Lake...
Tlrrber...
Spring
Ra'ny Lake Median
Rsh Reservoir Median
Swan Lake Median
Moon Lake...
Tirrber...
by
Season
Summer
Rainy Lake Median
Fish Reservoir Median
Swan Lake Median
Moon Lake...
Tirrber...
Fall
Ra'ny Lake Median
Rsh Reservoir Median
Swan Lake Median
Moon Lake...
Tirrber...
Figure 4a. Illustration of data reduction process for lake data.
21
-------
25th
Winter
TP
TN
TKN
NO2+NO3
DO
25%
Select 25th Percentile
from Distribution
of Median
Values
25%
25%
Spring
Summer
Fall
1
I
Calculate Median
Value of the
25th Percentiles
for the Four Seasons
1
Half values j|
Below Median ^*
* 25%
1 1
25% 25%
, Season A Season B
" 75%
1
H
H *•• Half vs
^^ Above
1
1
ilues
Median
1 1
25% 25%
Season C Season D
Median = Reference Condition for the Ecoregion
Figure 4b. Illustration of reference condition calculation
22
-------
5.0 REFERENCE SITES AND CONDITIONS IN AGGREGATE ECOREGION VTII
Reference conditions represent the natural, least impacted conditions or what is considered
to be the most attainable conditions. This section compares the different reference conditions
determined from the two methods and establishes which reference condition is most appropriate.
A priori determination of reference sites. The preferred method for establishing reference
condition is to choose the upper percentile of an a priori population of reference lakes. States and
Tribes are encouraged to identify reference conditions based on this method.
Statistical determination of reference conditions C25th percentile of entire database.) See Tables 2
and 3a-e in section 4.0.
RTAG discussion and rationale for selection of reference sites and conditions in Ecoregion VIII.
The RTAG should compare the results derived from the two methods described above and present
a rationale for the final selection of reference sites.
6.0 MODELS USED TO PREDICT OR VERIFY RESPONSE PARAMETERS
The RTAG is encouraged to identify and apply relevant models to support nutrient criteria
development. The following are three scenarios under which models may be used to derive
criteria or support criteria development.
• Models for predicting correlations between causal and response variables
• Models used to verify reference conditions based on percentiles
• Regression models used to predict reference conditions in impacted areas
7.0 FRAMEWORK FOR REFINING RECOMMENDED NUTRIENT CRITERIA FOR
LAKES AND RESERVOIRS IN AGGREGATE ECOREGION VIII
Information on each of the following six weight of evidence factors is important to refine
the criteria presented in this document. All elements should be addressed in developing criteria,
as is expressed in our nutrient criteria technical guidance manuals. It is our expectation that EPA
Regions, States, and Tribes (as RTAGs) will consider these elements as States/Tribes develop
their criteria. This section should be viewed as a work sheet (sections are left blank for this
purpose) to assist hi the refinement of nutrient criteria. If many of these elements are ultimately
23
-------
unaddressed, EPA may rely on the proposed reference conditions presented in Tables 3a-e and
other literature and information readily available to the HQ nutrient team to develop nutrient
water quality recommendations for this ecoregion.
7.1 Example Worksheet for Developing Aggregate Ecoregion and Subecoregion Nutrient
Criteria
Literature sources
Historical data and trends
Reference condition
Models
RTAG expert review and consensus
24
-------
Downstream effects
7.2 Tables of Refined Nutrient Water Quality Criteria for Aggregate Ecoregion VIII and
Level III Subecoregions for TP, TN, Chi a, Turbidity (where sufficient data exist)
Aggregate Ecoregion VIII- Nutrient Poor
Glaciated Midwest and Northeast
Total Phosphorus (wg/L)
Total Nitrogen (mg/L)
Chlorophyll a Cug/L or mg/m2)
Secchi depth (meters)
Other (Index; other parameter such as DO)
Proposed Criterion
Literature sources
Historical data and trends
Reference condition
Models
25
-------
RTAG expert review and consensus
Downstream effects
Ecoregion #49-Northern Minnesota
Wetlands
Total Phosphorus (/ug/L)
Total Nitrogen (mg/L)
Chlorophyll a (/ug/L or mg/m2)
Secchi depth (meters)
Other (Index; other parameter such as DO)
Proposed Criterion
7.3 Setting Seasonal Criteria
The criteria presented in this document are based in part on medians of all the 25th
percentile seasonal data (decadal), and as such are reflective of all seasons and not one particular
season or year. It is recommended that States and Tribes monitor in all seasons to best assess
compliance with the resulting criterion. States/Tribes may choose to develop criteria which
reflect each particular season or a given year when there is significant variability between
seasons/years or designated uses that are specifically tied to one or more seasons of the year (e.g.,
recreation, fishing). Using the tables in Appendix A and B, one can set reference conditions
based on a particular season or year and then develop a criterion based on each individual season.
Obviously, this option is season-specific and would also require increased monitoring within each
season to assess compliance.
26
-------
7.4 When Data/Reference Conditions are Lacking
When data are unavailable to develop a reference condition for a particular parameters)
within a subecoregion, EPA recommends one of three options: 1. Use data from a similar
neighboring subecoregion. E.g., If data are few or nonexistent for the northern cascades, consider
using the data and reference condition developed for the cascades; or 2. Use the 25th perecentiles
for the Aggregate ecoregion or 3. Consider using the lowest of the yearly medians for that
parameter calculated for all the subecoregions within the Aggregate Ecoregion.
7.5 Site-specific Criteria Development
Criteria may be refined in a number of ways. The best way to refine criteria is to follow
the critical elements of criteria development as well as to refer to the Lakes and Reservoirs
technical guidance manual (U. S. EPA, 2000a).
The Lakes and Reservoirs Nutrient Criteria Technical Guidance Manual presents sections
on each of the following factors to consider hi setting criteria
- refinements to ecoregions (Chapter 3)
- classification of waterbodies (Chapter 3)
- setting seasonal criteria to reflect major seasonal climate differences (Chapter 7)
- accounting for significant or cyclical rainfall events - high flow/low flow conditions (Chapter
- setting criteria for reservoirs only (The technical guidance manual recommends that data be
separated for lakes and reservoirs and treated independently if possible because of differing
physical conditions that occur in lakes and reservoirs. In this document all data from both
reservoirs and lakes were considered together since STORET does not allow for the
differentiation of data except by waterbody name.)
8.0 LITERATURE CITED
NYSDEC (New York State Department of Environment and Conservation). 2000.
Memorandum from Scott Kishbaugh to Jay Bloomfield, September 26,2000, regarding
reference lakes for nutrient criteria.
TNDEC (Tennessee Department of Environment and Conservation). 2000. Letter to
Geoff Grubbs, October 5,2000, containing comments on draft nutrient criteria
27
-------
recommendations.
U.S. EPA. 2000a. Nutrient Criteria Technical Guidance Manual: Lakes and Reservoirs,
U.S. Environmental Protection Agency, Washington, DC. EPA-822-BOO-001.
U.S. EPA. 2000b. Nutrient Criteria Technical Guidance Manual: Rivers and Streams,
U.S. Environmental Protection Agency, Washington, DC. EPA-822-BOO-002.
9.0 APPENDICES
A. Descriptive Statistics Data Tables for Aggregate Ecoregion
B. Descriptive Statistics Data Tables for Level HE Subecoregions within Aggregate Ecoregion
C. Quality Control/Quality Assurance Rules
28
-------
APPENDIX A
Descriptive Statistics Data Tables for Aggregate Ecoregion
-------
-------
tn
O)
D_
CO 02 O
t- co "3- in
^r i- CM i-
LO
r-
o.
co o> in i-
i- in CM CD
CO CO
If)
Q
LLI
in eo o ••-
in TT i- TT
co
co
in
CM
Q.
*t CT> h- O
CO O) CD CM
CM i- CM CM
c
o
CO
CO
cu
co
T3
c
CO
CD
-o
CO
o
0)
o
>,
f*>
CO
CJ
•H
CO
•H
c
CO
•H
"O
CD
s»
1
~*l
0)
3
1
O
1—4
U_
1
CO
_ I
-C
o
in
Q.
^>
o
cr
cr
LU
o
t—
CO
CO £-
•(-> CD
CO -M
CO
Q) E
> CO
•H £_
•M CO
O. Q.
•H
i.
O
CO
Q
o
CO
i- CM CO CO
N- O3 CO LO
*- O
o co co T-
CD O CM CO
co in co i-
CO O O) O)
T- •r- O CD
m •fl- co m
• in r^ i<-
T- in eo co
o oo o
CD co in
m •* o m
o CM •<«• i-
o o in o
C*3 C"3 ^" 00
u>
co o h~ in
o •* a> co
ai in CD
o> eo •* h-
f»- CM CO i-
o
CO
<
LLI
CO
(Dcr.cc
Z LLI LU
_i cr s
< Q- Z3
U. CO CO
-------
in
o>
Q.
o o o o
• in
T- CD O
CO T- C\J CO
in
h-
a.
o o
• o
O
in
in co
O CO C\j CNJ
o co in o
c_
CO
CO
CO
cc
T3
C
co
CO
co
CD
TJ
CO
o
CO
Q
>,
f^
CO
o
•H
•H
CO
•H
•M
CO
0)
3
I
<
1
O
Q)
Q.
CO
I
0
+-<
>.
J=
Q.
I
CO
•-)
CO CO CO
(O
O)
0)
'_
05
O)
CO C.
> CO
•H ^->
•H CO
Q. E
•H CO
C_ C_
O CO
CO Q-
0)
o
tr
cr
ai
a
co
UJ
o
o
CO
X
<
*t in CD Tf
O CO CM O
co en o a>
CO TT CD T
O O O i-
CM CM -^- O
• CD CO i-
CM
in o in o
o o co m
CD CM T- CO
in CM co
o o o o
o CD in co
• ro co in
UJ
a> in TJ- CM
h- TJ- co o
en in in CM
r- O O> CM
•
-------
in
cr>
D_
CM co o in
. co
co • t- ro
T- CO 1- T-
co o O o>
CO CO i-
- - . CD
in •v m T-
Q
LLJ
*3* co o
CO "- •*
o
co
CO CO CO CM
in
CM
o_
CD O O O
CO CO CO CD
CM CM CM i-
to
£_
>
t_
CO
CO
T3
•
o
c
c
o
CO
CO
CO
T3
CO
0}
T3
CO
O
CO
Q
>^
o
to
o
•H
4-J
c
CO
•H
T3
05
S|
0)
3
H
o
CO
a.
CO
1
o
4_*
^i
x:
in
Q.
O
cc
cc
LLJ
O
1-
co
in
CO
0)
CD
co
•
o
in
O)
CO
CO
CD
o
CO
co
T—
CM
*
o
co
m
co
o>
CM
to a.
•H I
+-• co
CO ^
4-1 JZ
CO O
CO
•H
a.
o
CO
CO
Q
CO
CD
CO
CO
a.
LLJ
a
Q
I—
CO
co O) r^
CO ^T CO
in co in
co en o o
co h- o in
in CM to en
•q- co co t-
o r^ o t-
o o o co
rv. . co •
LLJ
*- •»»•
m r^
in
h- CO
TJ- to
en in m
CM o co
CM T- tO
o
co
LLJ
CO
O
cc cc
LU LLJ
CC S
a. z>
CO CO
-------
region: VIII
voirs
Decade and Season
0 t-
O CO >>
UJ W S3
CO
•W CC CO
c o
CO T3 -H
•H C *->
i- CO CO
-t-> -H
3 CO 4-J
z co co
m •H
CD CO CO
4_r 1
CO CD
CO -H
5> CL
O) -H
O
CO
CO
Q
c
co
•H
•o
CD
*J
0>
"*3
i
o
•H
C_
1—
1
CO
t-4
r"
O
L.
O
^«*
OJ
CO
CO
CL
in
CO
a.
in
Q_
•z.
Q
UJ
in
CM
o_
in
Q.
o
cc
cc
Ul
Q
H-
eo
^>
UJ
o
o
i-
co
X
-------
m
CT>
Q_
o o o o
n r~- T i-
o o o o
CO
h-
o_
in o o o
o in i- i-
o o o o
O CO O ID
O CM O O
O O O O
in
CM
O.
O O O O
o o o o
o o o o
c
o
CO
CO
0>
CO
o o o o
o o o o
dodo
CC C
CO
CO -H
T3 T3
CO O>
SS|
° -1,
>. O)
.a 3
CO ^3
O 'H
o
CC
CC
LU
o
CO
t- co CM m
r- o t T-
CM i- CVJ T-
CM in CM co
o o o o
o o o o
CO
•H
ca
•*->
co
a>
a>
a>
E
CO
CC
a.
c_
o
0)
Q
Q
O
CO
i-- co o co
*- co T- o
o o o o
o o o o
co CD in i-
^ T- T- O
o o o o
o o o o
o o o o
<
LLJ
co •>- eo in
o co o o
d o o o
oo T
co CM
o
CO
LLJ
CO
CD CC CC
Z LLJ UJ
-I >H S I—
-1 CC S Z
< a. 3 HH
U. CO CO S
-------
CO
m
m
D_
IT) O O O
r-- en co IN.
CD co
r-
Cu
O O O O
en T co r~-
OJ
• •
C
0
05
CO
t_
o
o
UJ
+J
V)
t_
•H
0
t_
0)
CO
CO
CC
d Season
c
CO
0)
•Q
CO
o
CD
f^
>^
r*»
U)
C
CO
•H
•o
CO
25
1
_J
1
C35
|
O
in
Cu
>
O
cr
CC
LLJ
Q
h-
co
o
•H C -H O
t_ CO CO
•M -H C.
D CO 4-1 CO
Z CO « +J
Jtf 4-» CO
CO CO CO S
•M _l CO
CO 0>
O)
a>
O)
O)
CO
Q.
u
co
cu
Q
UJ
o
o
co
o o o o
O O CM O
O O
CD co en 03
a> a> t*-
CO O) 00 CO
CM T- T- CM
O O O O
eo in CM o
O) i- O -3-
T- T- CM O
o o o o
O "3- rr O
o o o o
o o o o
o o o o
<
UJ
co
O
m co
O CM
CM i- IN O
co in co
co oj
UJ
CO
C3 CC CC
Z UJ UJ
_l t-i S I—
_l CC S Z
< Q- Z) t-t
LL CO CO 3
-------
lO
o>
Q_
o o o o
o o o o
o o o o
CO CO CO O>
in
r^
o_
o o o o
in o o o
N. o in o
rr m ^ CD
o
UJ
o o o o
o o o in
o o in N.
CM CM CM -"fr
in
cvi
o_
o o o o
oo • o
• in o in
o i- CM CM
c
o
co
CO
CD
CO
TJ
C
CO C
CO
O> -H
-a "o
CO 0)
O S
a> I
in
Q.
O
cc
oc
UJ
a
h-i CO
O O O O
o o o o
O O O i-
C\J i- O) «*•
05 co r^ in
co co eo •<*•
O) O) CM CO
in in in CD
CO O>
•M E
CO CO
£_
(I) CO
> Q.
UJ
o
Q
CO
CD o TJ- i-
O) i- TJ- CD
CM co o m
CM CM CM CM
O
CO
0)
Q
O O O O
o o o o
o o o" o"
o o o o
o o o o
CD 00 CO O)
o o o o
o o o o
o o o o
<
UJ
in N- i- o
co co o m
•* co CD r^
CM CM CM •*
m in in
o
CO
<
UJ
CO
o oc a:
z uj LJU
—I CC S
< D_ Z)
a. co co
-------
in
O)
T- CM o r-
in
O)
CO
o •«- o ••-
O • CO •
. i- • O
ro ••- co i-
h-l CM
01
CO O CO
o o
co T~ co
in
CM
o o co
r- CM r-
CD
in
CO
cu
M CO
in
o in o 10
CD
co
i- CM
eo to
o
en r- •* to.
CM CM co •*
_
O) -H O CD
Q) O QJ S.
t. > O I
O t- -J
O 0) >> I
UJ tn J3 cn
OJ E,
-> « I
o o
CD T3
C -H
t_ CO W £-
4^ •HO)
3 W -H +-"
Z 0) CO Q)
JC -H E
CD CO CO TO
CQ
3)
CO
u
O)
O)
CD CO
o
CO
CO
01 T-
01
CO
in CM co 'O>
co
o o o o
co o eg o
CM T- co in
CM CM CM CO
If) O O O
o co o in
. • • •
CO CO CO T
5 § 88 §
•g O O O CM
Ol
^- Tf CO CO
(O co o co
t>- O) h- t^-
^r o co o
i- CO CO CO
CM CO CO
i££
CO
CO
.
O. CO CO
-------
in
CD
Q.
^D t1"*1
C\J C\J
m CM
i— CO
oooo
•^ CO CM CO
O O O CM
oooo
O
UJ
•«- co 1- o
O O O 1-
o o o o
in
CM
a.
o i- o in
oooo
oooo
1
w
L
H
P
>
L.
P
P>
P
1
t
r
t
p
t
r
L
r
I
1
1
c
0
w
CO
CD
CO
T3
c
CO
CD
TJ
CO
O
CD
O
>^
o
w
o
•H
•H
cn
•i—j
CO
'4-f
CO
CD
•1-1
•I-1
Q.
C
CO
•H
T3
0)
^g
1
1
O5
E
1
CO
O
2
1
CM
O
Z
£_
CD
•H
CD
E
CO
CO
D.
in
Q.
>
O
tr
EC
LU
Q
h-
CO
UJ
o
Q
t-
co
X
o
to
CD
Q
O O O T-
•O O O O
OOOO
co in T m
co co co co
T i- CM
CM ^ O CM
oooo
oooo
CO CM CO CM
CM i- O i-
o o o o
co o i- in
*- in r»- in
co i- o o
o o o r^
oooo
oooo
UJ
in N-
o o
co T
o i-
o o o o
•t •«<• o in
•r- 'a- N- co
CM CM CM
o
CO
LU
CO
o or cc
Z LU LU
HH S I-
cc s -z.
Q. Z3 HH
CO CO S
-------
if)
O)
Q.
m in co in
CD O> 'T OJ
co !•*•
10
r^
o_
co in co co
o h- en co
tn
a
ai
O •«- O CO
CO CO CO CO
CM
a.
o o o> o
m in in T
CM CM CVJ CM
c
o
CO
ca
at
in
a.
o t^- o in
CO CO CO ^"
c
o to
••H t_
a -H
o> o
TJ
c
ca c
ca
0) -H
•a -a
ca co
o
m
£_
O
O
LU
•H
C
CD
•H
!_
4_f
3
2J
CD
4_f
ca
o>
CD
O)
O5
^£
>
t_
CD
to
CD
cr
•a
c
ca
CO
j£
ca
_i
a
>.
to
o
•H
^j
CO
•H
•H
ca
^
CO
CD
>
•H
a.
•H
c_
o
CO
CD
Q
e
1
1C
f_j
o
LU
CO
c_
CD
•H
CD
E
CO
t»
ca
D_
cr
cr
LU
Q
CO
>
LU
Q
O
1—
CO
X
<
s
CD
O
O
CO
o
•
CVJ
0
in
m
T™
in
o
o
CO
•
T™
0
0)
CM
^~
m
o
d
CM
en
•
f-»
0
0
in
^~
r**.
T—
•
O
in
CO
•
^r—
in
.
o
^-
co o o o
CD o o T-
CO CO CO CO
O5 ^ ^ f^-
c3> r^- o r^
• • • •
CO CO CO CO
*3- T- in eo
co o i- i-
o i- m i-
o
I
en
CD cr cr
z LU LU
•H S H
OC S 2
a. Z3 1-1
co co S
-------
F
in
a>
D.
O5 CO ^" O
c\j CT> T~ LO
Y- O T- T-
in
h-
Q-
co o o LO
N- CD r^ r^-
o o o o
Q
LU
CO LO O O
LO 'V LO LO
o o o o
in
CVJ
Q_
CD CO i- O
co co co co
o o o o
CO
i^
•H
O
t_
05
CO
T3
CO
CO
0)
^
CO
1
c
o
CO
CO
CO
CO
•o
c
CO
CO
T3
CO
o
o>
0
>^
("•>
CO
o
•H
CO
•H
•H
CO
4_*
CO
CO
>
•H
c
CO
•H
T5
CO
E
1
1
C3>
E
1
N^
1—
j_
CO
4_l
0}
g
CO
U
CO
Q.
LO
Q-
>
O
a:
QC
LU
Q
1-
co
^>
LU
Q
Q
1-
co
o
CO
CO
o
o co o LO
CM i- i- O
o o o o
r^ •«• CM CM
LO LO CO O
CM *- CM CO
o o o o
o o o o
rf CO ^f CD
CO CM CO CD
o o o o
o o o o
T I"- LO CO
CM CM CM ^T
O O LO LO
CD O CM CM
o o o o
en co LO •*
LO "5T LO t-i
CO CO S
-------
in
O)
a.
CM in co
o ^ co
T- O O
in
r-
a.
T- CO CD
t*- co •*
o o o
•z.
t-H
a
LU
in co CM
in oo co
o o o
in
CM
a.
h- o •fl-
CJ CM CM
o o o
l-t
1— <
HH
>
C
o
•H
O)
CO
C_
O
O
UJ
4-1
c
CO
•H
c_
^
^y
CO
c_
0
>
CO
CO
CO
cc
T3
c
CO
to
CO
o
CO
CO
CO
CO
T3
c
CO
CO
CO
o
CO
r~\
>,
JQ
CO
0
•H
4^
CO
•H
1 •
TO
Median
1
_._.!
I
O)
1
Zt
H-
c_
CO
4.1
CU
in
a.
o
cc
ac
UJ
a
i-
co
>
LU
O
O
o
T
CM
•
O
f>^
in
•
co
d
o
co
o
»
o
CM
CM
•
O
o
in
CM
o
•
o
CM
CM
•
co co co co
CO
o o o
CO
CD
CO
5)
CJ»
CO CO
> a.
•H
a.
•rH
c_
o
CO
CO
a
X
<
s
in
en
•
CM
^r N-
co t^-
• •
T-* t—
o o o
h- CO O
<
LU
T- 1- 00
CO CO CO
o o o
CM CO O) O
CM •f in
CO
a a: cc
Z UJ UJ
_J M S 1-
_1 CC S 2
< a. z> n
la. CO CO S
-------
in
en
Q_
o o o in
• in
in o o T-
m t in
in
c~-
Q.
O O O O
i- CD 03 O
CM -i- i- co
CD O O i-
O O i- CO
if!
CM
O-
o o o o
o in o o
co
co co
c
o
CO
CO
o
CO
D)
O Q.
in
Q.
cc
cc
01
a
CO
o o o o
o o o in
73
C
CO
c
CD CO
73 -H
CO 73
O CD
CD S
O
CD CD 1-
CD TT f-
- in
- m
t CM
CM CD CD O
co N t^ in
i- o CM a>
W £_
•t-) <1>
4-1 •*->
CO 0)
+-• s
I CO CO
(V CO
> o_
l-l-l
1 +-1
Q.
s
LLJ
O,
Q
cn
CM a> co o
^ 1- N. T-
co cj a>
O CO O O
o co m o
o in CM in
•^ co CM o
^ co co CJ)
co
o o o o
o o o o
• o o •
<
LU
co o m i-
o in o
CM i- C\J
co
T- 00 CO T
^- CO 00 CO
CO CO CM i-
o
CO
UJ
co
cc cc
LLJ LU
_l CC S
< CL 13
U. CO CO
-------
-------
APPENDIX B
Descriptive Statistics Data Tables for Level III Subecoregions Within Aggregate Ecoregion
-------
-------
ro
CL
§§§§*. ".
• T- co
i- co T-
§
LO
r-
CL
o
in
in
CM
Q.
IfiOOO'tCOTt-OO-COOO
c
o
CO
CO
0}
T3
C
CO
o>
T3
CO
O
CU
Q
CO
-H
TD
0)
O5
>. O
IT)
Q.
U
cc
cc
LLJ
O
CO
inooo-i-cocococooinco
o c\j T- o
CM T-
CO U_
o I
•H CO
•I-1 i-H
co .c:
O
co t-
LLJ
Q
Q
CO
d>
CD E
> CO
CO
Q. D.
O OJ ^ 1- 1- -^ T-
o
CO
0)
inoooooTroeoomco
N-OOOCOCOCViCON-lOTCO
• • • • rr i^- -in • . en •
•"-•"-OJi- • • i- -cvj-i- -CM
<
LU
CM CO CO
o> in
in
co
OOOOCMCMCMCMOO
(O CM
T- CO to O)
o o o o
UJ
CO
CDCCCC CDOCCC OCCCC
2UJUJ ZUJUJ ZUJUJ
P=S2_JCCS2_JCCS2
CL^5|-< I-H
CO CO
CD GC OC
Z UJ UJ
-I CC S
< 0_ ID
U. CO CO
O CD l-l
U > HH
uj a> t-n
-------
in
CD
o o
-
m i- CM co
CD co •* CM co
in
CM
o o o
i*. CM o
c\3 co CM
co CD m co
CM ^j-
o>
in r-- r«-
CM CM d CD r--
O O CO
N CM CO
o CM o co •<*• en
o *- co in Is- Is-
w c
ca co
QJ -H
CO -O
0)
T- • CM
CO
CO
i- in cu 'S-
O 00 CM O
" I
C Q> O)
O W TJ 3
•H t- « I
O) -H O <
0) o CO I
t_ > O O
O C. 0}
o a> >> a.
uj co
co
co,
j-j a: co o
c o 4->
«
H C 4-< J=
c_ ca co a.
+-• -H I
3 CO +J «
Z CD CO i-H
^C -H -C
CO CO CO O
CO
O)
CO
c.
D)
CO t-
> CO
•H +•>
•H CO
c_ £-
u ca
co a.
co
LLJ
CO
UJ
o
a
CJ
co
co
in
co o in
in CM co
• • •
^r co oo
co o o
i- CM in
• • co
••- CO
co o en
co ro in co ^r
d o d i-
i- oo co r*- o
co • CD r**- ^*
. o
r^. CM
CM T- i-
in o m o •* en
o o eo in t»» h-
co" ca i- co co r~-
m CM CD
o o o o
o CD co co
. en m
o>
CO
UJ
o o cn
in
in
eo CM
m h- CM
•
OT-'-OOCOCOCM
CM
CM
,-t-OOOOOOOOOO
CM 00 CM
O a: a:
z LLJ LU
cc cc
UJ LLJ
occ.cz
Z LLJ LLJ
a: cc
LLJ UJ
cc cc
LU LLJ
LLJ
CO
CL Z) M < O- 3
LL. CO CO
U- CO CO
< n- => M
u. u) l-l
LLJ CD 1—I
cn
cncnojoooooococococM
CM CM CM CM CJ CM CM
CO CO CO CO CO 00 00
-------
01
CL.
i- CD I1-- CM
. CO CO
ID O
t— t— CO ^*
CM co o in
- CM
O) • co en
1— CO T- 1—
in
r>-
o.
•t O O CM
CO CM Oi CO
in
O O CO CM
T- CO ^ •
. eo
co in in i-
m r^ co co
r- eo co CD
o in in o
co co co co
co CM co T-
CO CO O)
in
w
o.
r«- oo CM i-
00 CM CO CO
CM CM CM T-
o in co in
CO f^ ^f O
CM CM CM i-
in
CL.
m co co T-
•* CO CM CO
o in o o
CM in •* co
o
co c
co ca
CD -H
|CO T3
l-o s
lc I
1 CO _l
O)
3
|o o
0)
a.
CO
I CO O
|O -M
I-H >.
r-" -c
I CO CL
CD
i—I
JZ
o
£_
O)
CTJ
L.
CD
D.
o
cr
oc
LU
o
co
LU
Q
O
CO
<
LU
O> CM CO CM
CO i— O) h"
CM
f- -r- O LO
CO 'T CM O
O T- O i-
O) O i- CM
in • T- co
i- o> in CM
^ N- CO CO
00 CM i-
CM co in
h- CM TT •*
o in CM o>
O) CM CO CM
r^- co ^ r^-
o o o
in T- in in
h- T- CO T
CD CM CD
CO O O O
co in o in
in o co o>
Tf T- CO **~
o
o
f-
in
T—
in
OOOOOOOOtD
in
T-
^.
O
CM
in
CO
o
o
CO
CO
CM
^
ro
o
^~
^_
co
CO
in
CM
co o o o
o
o
o
CO
co
_ ^
ps»
0
CO
CT)
o
•<*•
T
T
o
o
co
CM
in
in
*>
in
CM
0
CO
LU
CO
OOCDC CDtrcc o cr cr CDCTCC cDcrcr
ZLUUJ ZLULU 2 LU UJ ZLULU ZLULU
»HSH_JHHS|--JHHSI--JHSI-_JHHSI-
ocsz-Jocsz-iccsz-Jcrsz-Jcrsz
LL.COCO
LL.COCO
LL.COCO
-
U-COCO
U.COCO
O OJ KH
O > HH
LU a> i—i
O)O)O)O)OOOOCOOOCOOOCMCMCMCMCMCMCMC\I
-------
in
O)
D_
t». O T- O
TJ- co oo i-
CM CM CO OJ
in
K
a.
o *s-
CO CM
O
LU
O) CO CO CO
CO h- ^- "3-
co in
tn
CM
a.
CM CO CM CM
co "3- o> r^
CO CM
in
a.
eo in CD
o i- m
CM CM OJ T-
o
co
CO
a>
co c
CO
T3 -H
c -o
CO CD
3 CO
^ c_
3 £-
3 (1>
J (A
CD
i CC
) TJ
< C
• CO
^
J W
: <»
^e
> co
O O)
0) 2
V)
•H
C-
•H CO
W r-l
•H x:
•H O
CO
•H C.
CO 0)
•H
O Q)
2 1
Q. (0
•H Q-
C_
O
CO
0)
Q
QC
cr
a
CO
o
o
CO
X
<
t>- •<* o o
en cr> 'S- ^~
i- i- CM
rj- CD N- in
O) CM O O
O i- i-
•«3- O O CO
o in in in
i- i- t- CM
O O O O
h- O O O
in N. CM o)
N- CM in co
O) O CO CO
o CM eo in
LU
N- CM CO T-
C3 T^ O CM
OOOOCMCMCOO5OOOOOOOOOOOO
CM >* O> CO
O
3
LU
CO
CD ac cc
3 LU LU
cc a:
LU LU
CC CC
LU 111
O
ac cr
LU LU
cs
CO CO
oc cr
LU LU
_J CC S
< a_ Z3
LL. CO CO
O >H
iu a> HH
CncnOOTOOOOCOeO'COCOCMCMCMCMCMCMCMCM
'S-^-Tr'3-inininininininincocDCDcococoeoco
-------
o o o
o o to o
o
w
CO
O O O
o o o o
in
o o o
o rr i-
o o o
o o o o
1- CD 1- 1-
o o o o
LU
o o o
O CM O
o o o
O O O LO
O CO O O
o o o o
in
CM
o o o
o o o
o o o
o o o o
o o o o
o o o o
in
Q.
000
o o o
o o o
o o o o
o o o o
o o o o
CO
u>
CO
CO C
CO
CO -H
CO CD
O
LU
CO
t CO (N
^- O N-
CM f- T-
f CO CM
O O O
odd
TJ- rv. r^. in
Tf O CO i-
CM T- CM T-
co
CM co
o o o o
o o o o
O
•H £_
4-> CO
CO -H
•H Q)
CO E
CO
CO L.
> CO
•H D_
LLJ
CO
m in co
o CM i-
o o o
o o o
O CD T- CO
CM CO CM O
o o o o
o o o o
CM CD w co CD in T-
o o o
*- T- i- O
o o o
o o o
o o o
o o o o
o o o o
o o o o
CM
eo
LU
O CM O
oo co oo in
O CO O O
o o o
o o o o
oooooooo^t
CM i- CO
in CM co
CO
CO
O DC EC
Z LU LU
O DC OC
CO
CD DC EC
Z LU LU
O or cc
Z LU LU
l-t S I-
DC S Z
C3 DC DC
Z LU LU
HH S |-
cc s z
LL. CO CO S LL. CO CO
O CD t—I
O > t-l
LU CD HH
IH 2222OOOOOOCOCOCOWCMCM(MCMCMCMC\J
•^•<3-'*'*iiLi
-------
in
O)
o.
in o o
o en r-
co CM
o in o o
co oo in r--
co co i*- o
in
r>-
Q.
o o m
CM CM i-
m o o o
co CM c\j o
o o co
CO CM •
l-l CO
O)
o>
in
^f O CO
co o r-
co c
CO
C. CD -H
o co -a TJ
•H C_ CO CD
O) -rl OS.
CD O CD
C. > 0 _J
O C. I
O CD >, O)
LU W £3 =3
4-> DC CO O
C O fH
u> -a -H i:
•H C -H O
c_ co co
+J -H t_
=] CO -H CD
a> co
CD
CD CO CO E
•H _J
CO
O)
CD
o>
O)
CD
CO
> ca
•H O_
o
UJ
CO
00 CO CM
CM CO T-
o o o
in i- i-
CO -r- t~-
CO
i- i- O
o o in
o en o
CO CO
o> co in co
CM CM CM CM
o o o o
in
co o
•r- -I- CO
CM
CM O
O O O O
O5 CO O5 t~~
O)
o
o o o
o o o
o o o
o o o o
o o o o
o o o o
CO
O) CO
co in CM co
co eo co HH «a-'a-Tr'a-inininininin
LU a> HH
OOCOCMCMCMCMCMCMCMCM
in in co co to co co co co co
-------
r
CD
Q.
oooooooo
oooooooo
oooooooo
cococDcni-coincD
in
r^
D-
oooooooo
ooooooom
in
eo
in
in
o
UJ
oooooooo
oooinoinom
o o in N. • CM o evi
I-CMCMTTOCOCMCO
in
CM
a.
oopooooo
oo -ooinoo
in in o o • r- in o
T- i- CM 'S- O -i-
°
I QJ
ICO
I CD C
CO
•H
|CO CD
lu s
lo> I
in
a.
o
QC
CC
UJ
O
CO
oooooooo
o • o o o o o o
• o • o • • • o
OT-OCMOOOT-
ini--
<
UJ
CMN-r^-COCMt-CMCO
CO CM CM in CO CM CO
O
CO
<
UJ
CO
Oarcc
2UJUJ
occar
ZUJUJ
ooca:
2UJUJ
oacoc
Z UJ- LU
occcc
ZUJLU
U-COCO
.
U-COCO
...
U-COCOSU-COCO
U-COCO
O Q) I—I
O > I-H
UJ CD H-l
O5O)O)C7)OOOOOOeOCOCOC\JCMCMCMCMCMCMCNJ
-''''
-------
•4
•4
•4
•
~
j
^
?
_
3
}
J
j
3
—
>
i
*
i
*
'
3
a
CO
t_
o
>
£_
0)
W
CO
•a
ca
CO
CO
V*
CO
*
O
CO
ca
CO
CO
TJ
ca
c
co ca
•a -H
co -o
O QJ
CO £
a |
_j
>< 1
x> ca
E
CO |
0 0
•H Q
CO (-
•H CO
4-* -M
CO CO
•M €
CO CO
c_
co ca
•H
Q.
•H
O
(0
CD
O
in
cn
o_
in
f^
f)
LL.
z
H
LU
LO
CM
M
LL.
in
Q_
^>
0
CC
or
LU
CO
^>
LU
O
CO
X
z
1— 1
S
z
z
z
o
CO
LU
CO
o co I-H
O > HH
LU CO t-H
co o
CM cn
co co
CO O
CM cn
co co
T- 0
CM cn
r» co
o o
CM 0}
CO CO
o o
CM cn
CO CO
o •
CM
T—
o
,_
CO
,_
CO O
CM cn
CO CO
o o
CM cn
• •
i- O
CM cn
h- CO
CM v-
(S
Z
mrt cc
< o-
U. CO
cn cn
•t T
0
in
co
o
in
co
0
|v>
o
^
in
o
r--
in
o
CM
V—
to
o
o
,_
o
in
CO
o
fs.
Il"l
U J
0
^
CO
CC
LU
S
S
CO
cn
LO T- CM
CO
• O CM
0) T- T-
LO O O
CO O
o) cn T-
m o co
CO CM
O) CO i-
LO O O
CO t CM
O> CO O)
moo
CO 1^- CM
O) CO CO
• O CO
CO T-
CO T-
0 0
rr CO
CM CO
CM T-
in LO o
CO O CD
cn co co
LO O O
co in o
• CM CM
LO CO CM
CO LO O)
O) N- O)
i- in co
CO O
•>- co
or o
LU Z
H _J HH
z _i or
i-t < a.
5 LL. CO
cn o o
•q- LO in
O LO
LO
• co
cn i-
o o
co r-~
co co
0 O
o •«•
CO CO
LO LO
TJ- CO
LO 'S'
0 O
•^- co
•^- T-
*t o
CO LO
CO v-
o o
CO 5
CM CO
o o
o in
CO TT
o o
o o
i- CM
o *s-
O) CO
CO CD
f- 0
T- r*-
CO
or cc
LU LU
§^_
z
CO =£
o o
in LO
O O CO
CM CM
i- T- cn
o r>- o
co -co
CD T- CO
co co h-
CM • CO
CO f- h-
o o o
i- CO CM
r*- o) co
0 O O
O CD O
o r-- o
CO CO i-
co •>- 'ii-
i-cn co
r»- co LO
o o o
LO LO LO
CD CO CO
CM T- CM
o o o
o o o
CM CM O
O O O
O CO O
o • o
CO CO -3-
cn • cn
N- T- CD
<3- CM cn
T- i- CM
CD CC
Z LU
-IMS
-J or s
< a. ^
LL. CO CO
co co co
LO in LO
O CO LO
T • CM
T- cn i-
CO CM T-
. (-.
CM • CM
•r- CO i-
o in r»-
• t>-
-- r-- -r-
- * *
'"I cn •
O. ^
• ^^
T- LO r-
O f>- CO
cn CD
05 <«• T-
LO h- TT
T- CM
r-. N. co
h- cn CM
o o o
CO 'J- CM
h- o in
T- •r- O
LO .CO O
O) i- LO
co cn CM
o S- co
cn CD •
LO CO CO
• CO
^ r^ ^
in ^ T
CC O
LU Z
1- _l M
z _i or
HH < O-
S U. CO
CO CM CM
in CD co
f^- ^ o
in
• *- o
O> i- i-
•«3- CM O
•~
o o o
r»- o o
in ^- o
cn i- o
co i- o
CM • CO
. o •
M^— »t
^ r*»
CM r*- cn
cn • a
co i- co
cn
or or
LU LU
2 1- -1
S Z _J
13 HH <
CO S LU
CM CM CM
to co co
CM O
• CO
£• cn
o o
• co
o • •
i- CO
in o
cn o
CO CO
0 0
O LO
o r-'
0 O
o r*-
O CM
h» in •
CO CM
m o
CO CD
T- 0
CM cn
CM CO
LO i-
o o
CM CO
f cn
o o
O f-
o •
cn i-
OJ f-
LO N-
C3 O O
i— ^-
O CC CC
Z LU LU
H-i S H"
or s z
O- 3 H-l
CO CO S
CM CM CM
CO CO CO
•
-------
Irt
<3i
O-
CJ O> O CO
O O i— O
h- •*
O T-
03 in
o uo
CR in i— to ^ o o
in CM co cvj co co co
oooooooooooooooo
LO
r--
o.
T- i^- o co i- r*.
o o o o o o
•>- CO CM
0^0
1- co
OJ O
•-lflT-T-,-o>
OOOOOOOOOOOOO^-Ot-
oooooooooooooooo
o
CO CJ CO CM
CM i- CM i-
o i— n o> T- h~ r*.
LO -i- N. en CD eo co
T- CJ
OOOLOTJ'LOi-CMCOLO'tCO
oooooooooooo
ooo
oooooooooooo
jo co
o
OT Z
o I
•H CM
•M O
•H t_
CD 0)
•H -M
CO CD
E
CO CO
> c.
•H CO
•M a.
Q.
•H
£_
o
to
CO
I o
LU
Q
O
CO
X
<
JZ. 2 2
OOO
ooo
S B """ o o ^ TJ- co N.
OOOi-COCMi-^-^-i-T-O
ooooooo'oooo'o
ooooooooeo-r-oooooo
oooooooooooooooo
LU
r;S^S29^SCJP3O)O>lf'Wi-co'S-o
OOOOOOOi-Of-Oi-T-CMT-CM
oooooooooooooooo
T-T-coT-cor^'g-T-Loco-^r^ococMcooooo
•^ T- i- i-o>LOi-r«.cMcnT-^ »-•
o cc oz
Z LU LU
o cc cc
Z LU LU
O CC CC
Z LU LU
o cc cc
Z LU LU
O CC CC
Z LU LU
LU
CO
O CO HH
O > HH
LU CO I-H
22229OOOCOCO 03 CO CMCJCMCMCMCMCJCM
'---'-
-------
in
O)
°.£££So.§cM
incoincominincocor^eo
co co CM T-
co in ^ co
ocoocoococoingp
n CD
LLJ
CM CM en co in o p
in
inincninggcocopo
m i- o CM CM i-
co'fcococococoeo^r
to
CM
ino
CO f O
CD in CM
oooooginoino
i- O O CO
CM T- CM
co
CD
M CO
hH
H T3
> g C
• • CO
C CD '-H
O W T3 T3
•H C_ CD Q)
CO -H O S
0) O Q M,
O f- I
O CD >» l-t
UJ W X5 Z
CD O
4-1 o: to o
C O UJ
0) TJ -H CO
••H C *-•
{_ CO CO C-
4J -H CD
3 CO +-1 -M
2 CD CO CD
31 4-> E
CO CO CO CO
OS
O)
CD
CD CO
> a.
o
co
CM
CO
co
CO
CO
UJ
CO
CM CO CM
d o o
in in co o O)
OOOCM'-OOCO
o o o o o o
oooooooooo
CM
pinpinLoinoooo
CM
co
o
oooogqogog
CO Is-
CO
co co co in
in
. co
t- CM i- • '-
CM
UJ
CO'TCOCOCOCOCOCO'9'
CM CM CM
co co
in
co
CO
T- T- CM
UJ
CO
C3 CC DC
Z UJ UJ
< Q. ID M
U. CO CO S
CC CC
UJ UJ
CD CC CC
Z UJ UJ
C5 DC CC
Z UJ UJ
O DC DC
Z UJ UJ
HH S h-
CC S -Z.
U. CO CO
U. CO CO
U. CO CO
U- CO CO
O CD H-4
UJ
-------
o>
Q.
'"O'-Oi-OT-CNOi-OOod
U5
I-.
o.
o o o o o o o o d d d d d d o'
<
I—I
o
uj oooooooooo'dddo'o'd
CVJ
a.
oooooooooddddd
o
c
o
w
CO
0)
CO
It)
a.
>
o
oooooooooddd dddd
CO C
CO
CD -H
•D -O
CO CD
O S
CD |
O _l
cc
cc
UJ
a
CO
zJSE:a:>"ev'CNioinNco'!i-^rcoTi-co
OOOi-oOOi-OOOOOOOO
oooooooooooddddd
CO 2
o *:
•H CD
•I-1 +-•
CO CD
^ E
CO CO
c_
0) CO
> Q-
D.
•H
L.
O
t/3
CD
O
UJ
Q
O
CO
ooooooooooooo'o'd
J2S£2°.0°ooo>inoco — COCOCD
coo>oo>Trt>-incocoo<3-mTr'a-i*ro
• •
•^O-^OCMCMCM-fl-O-r-^OOOOO
oooooooooooddddd
o o o o
CJ CM
UJ
CO
cs cc cc
Z UJ UJ
I-H S I-
cc s z
Q- => HH
CO CO S
a cc cc
2 UJ UJ
CD
cc cc
UJ UJ
<3cc.tr.
Z UJ UJ
cc cc
LLJ UJ
DC S 2 _J CC S
O_ ^ t—i <^ o_ ^
CO CO S U. CO CO
-JCCSZ-ICCSZ
H-l
LLJ CD I-H
2 S S 2 S S 2 2 S S 2 2 S! ~ cvi cvi evi «N CM CM
wininmintSinincococDcoco
00 CO CO
-------
in
en
T- in in i-
co
co
to
,- T- CM o o
CO O)
O)
o o o
CO
0)
1-4 CO
t-t
I-H TJ
O)
CO
CO
i- O O>
in r» t
CM
CM
c co co
O W TJ -H
•H C_ CO T3
O) -H O CD
CO O CD S
t_ > D
O £- -J
O Q> >» I
UJ IA X) O)
co m
4-1 CH W I
C 02
O T3 -H J—
•H C -H
t- co cn t_
V -H CD
3 W -M +J
2 CD CO CD
.M *-> m
CO CO W CO
CO
0)
0) CO
> 0.
cc
cc
LU
LU
CO
(O
co
co co CM
co o c>
co
CM
CM
CO
c> o o
T- CM
O CJ
co
co
CM
CM
• o
T- in •* ••-
CO
cn co
CO
T- -i- CM •<- -r-
C3>
O)
O
o o o
cn CD o
co
in
cn
in
eo
in
r>~ i- m
co co co
CM
in
co
co
LU
o o
oooomor^o
CDf^OOOCMOOOCOO
•«• o co
CD CC CC
Z LU LU
o cc cc.
•Z. LU UJ
w E H -I "-I
tr cc
LU LU
LU
CO
_J CC S
CO CO
LI. CO CO
O CC CC
s: LU LU
_ I-H S H-
_J CC S Z
Ll_ CO CO S
O CC CC
2 UJ LU
1-1 E (-
CC S 3
Q. Z3 t-i
CO CO S
UJ 03 1-1
CM CM
CM CM CM CM
CO CD CO CO CO CO CO
-------
s
I CO
CD
•H
lea -D
lu co
I CD S
O)
S-
a>
•M
cu
£
ra
L.
co
O.
in mooooooinmoininooooomoo
*• S ? § 8 - g s " CM S CM g § K g S g « 8 §
in ooinoocoooocoincomco mo o o in co
°- 8 8 a g 8 a 8 § 2 i 2 S S2 CM £ ~ i « «£ SJ
z
< coooinooocooooooooinoocoro
| " g » » g ° g « gj „• o ^ cjj oi CM co ^ ^ o in
CM °°°°°gcigocv'0o<=>ooooooin
0_ QOo'oO -C> • •O^°do'U^°°°°°r\;
i-cvii-'»-T-c»'r-coN.coit^T-^c»coc»r^corai-
in °OOOOLOLOOOOOOOOOOOOOO
o'o'o'^^^^^^^^^^oooooSo
7^ PSSS5Sco'~CVI'^lr>rs-|s~C»
P CM' CM' CM' co' CM' - CM' 2 ^ ^ o' CM' co' ra co' a ^ o - c^
| co'^.cM'cMco'JS^dS^^^S^I^*!"
^ i- O) T- i- •<«• CM TT CMCMNCDOCMi- i-^-oJ
X
<
in
in
oooomooo
oooocvitnino
§ I ? 1 I I
8 9 K S
S 8 § S
CO
z ooooraooo
>~* • • -Ococbrir-i
ooo -• ^gg^oogogggggggi
'-•^•^•cocM-.T-cMi-.i-com ...
m co i-
CM O)
<
UJ
ra o CM
i- -^ en
tni-^cococMCDCMroinin'a-
rainraenoenracocor-
'-CM'i— f-cOt-CM^-'«-'r-
'—TfTfcviinT-cMT-cDco
•^ •»- 1^ CM ••- ^T-CMT-
OT-CMCO^-COCOCDCDCOLn-r-OCO
cMT-c\ji-coiv.ocoincncocMT^
CM CO ^- CM CO LO
co -^ .-o — co
o in (o
T- CM
UJ
CO
o or or
Z UJ LU
Hi or s z
< o_ ID i—
U. CO CO
o or or
Z LU LU
o or or
Z LU LU
-J or s z _i or s
< O- Z) t-4 < O- Z3
U- CO CO S U- CO CO
a or or
z in uj
—i or s
< o. ^3
u. co co
a or or
Z LU LU
I-H S I-
or s z
0_ Z) 1-4
co co s
o CD i—<
o > P-I
UJ f -•
-------
-------
APPENDIX C
Quality Control/Quality Assurance Rules
-------
-------
INDUS
CO RPORATI ON
Knowledge-Based Solutions
Support for the Compilation and Analysis of
National Nutrient Data
15 Nutrient Ecoregion/Waterbody Type Summary
Chapters .
Prepared for:
Robert Cantilli
Environmental Protection Agency
OW/OST/HECD
Prepared by:
INDUS Corporation
1953 Gallows Road
Vienna, Virginia 22182
Contract Number
Task Number:
Subtask Number:
68-C-99-226
04
4
August 8, 2000
-------
-------
r
15 Nutnem Ecoregion/Waterbody Type Summary Chapters, Contract tf 68-C-99-226, TO# 04
CONTENTS
August 8, 2000
1.0 BACKGROUND ... 1
1.1 Purpose 1
1.2 References • • 1
2.0 QA/QC PROCEDURES 2
2.1 National Data Sets 3
2.2 State Data 3
2.3 Laboratory Methods 4
2.4 Waterbody Name • 4
2.5 Ecoregion Data 5
3.0 STATISTICAL ANALYSIS REPORTS 5
3.1 Data Source Reports 6
3.2 Remark Code Reports ' • • 7
3.3 Median of Each Waterbody 7
3.4 Descriptive Statistic Reports 7
3.5 Regression Models • • • • 8
4.0 TIME PERIOD 8
5.0 DATA SOURCES AND PARAMETERS FOR THE AGGREGATE NUTRIENT
ECOREGIONS 9
5.1 Lakes and Reservoirs 9
5.1.1 Aggregate Nutrient Ecoregion 2 9
5.1.2 Aggregate Nutrient Ecoregion 6 10
5.1.3 Aggregate Nutrient Ecoregion 7 10
5.1.4 Aggregate Nutrient Ecoregion 8 11
5.1.5 Aggregate Nutrient Ecoregion 9 12
5.1.6 Aggregate Nutrient Ecoregion 11 • 12
5.1.7 Aggregate Nutrient Ecoregion 12 .- 13
5.1.8 Aggregate Nutrient Ecoregion 13 13
5.2 Rivers and Streams - 14
5.2.1 Aggregate Nutrient Ecoregion 2 14
5.2.2 Aggregate Nutrient Ecoregion 3 15
5.2.3 Aggregate Nutrient Ecoregion 6 16
5.2.4 Aggregate Nutrient Ecoregion 7 16
5.2.5 Aggregate Nutrient Ecoregion 9 r 17
5.2.6 Aggregate Nutrient Ecoregion 11 18
5.2.7 Aggregate Nutrient Ecoregion 12 19
ii
-------
15 Nutnent Ecoregion/Watcrbody Type Summary Chapters. Contract * 68-C-99-226. TO# 04
5.2.8 Aggregate Nutrient Ecoregion 14
August 8, 2000
20
APPENDIX A
APPENDIX B
APPENDIX C
Process Used to QA/QA the Legacy STORET Nutrient Data Set
Process for Adding Aggregate Nutrient Ecoregions and Level ffl
Ecoregions
Glossary
111
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract 4 68-C-99-226. TO# 04.
1.0 BACKGROUND
August 8. 2000
The Nutrient Criteria Program has initiated development of a national Nutrient Criteria Database
application that will be used to store and analyze nutrient data. The ultimate use of these data
will be to derive ecoregion- and waterbody-specific nutrient criteria ranges. EPA converted
STOrage and RETrieval (STORET) legacy data, National Stream Quality Accounting Network
(NASQAN) data, National Water-Quality Assessment (NAWQA) data, and other relevant
nutrient data from universities and States/Tribes into the database. The data imported into the
Nutrient Criteria Database will be used to develop national nutrient criteria ranges.
1.1 Purpose
The purpose of this deliverable is to provide EPA with information regarding the data used to
create the statistical reports which will be used to derive ecoregion- and waterbody-specific
nutrient criteria ranges for Level HI ecoregions. There are fourteen aggregate nutrient
ecoregions. Each aggregate nutrient ecoregion is divided into smaller ecoregions referred to as
Level HI ecoregions. EPA will determine criteria ranges for the waterbody types and Level HI
ecoregions within the following aggregate nutrient ecoregions:
• Lakes and Reservoirs
Aggregate Nutrient ecoregions: 2,6,7, 8,9,11,12,13
Rivers and Streams
Aggregate Nutrient ecoregions: 2, 3, 6, 7, 9, 11, 12, 14
1.2 References
This section lists documents that contain baselines, standards, guidelines, policies, and references
that apply to the data analysis. Listed editions were valid at the time of publication. All
documents are subject to revision, but these specific editions govern the concepts described in
this document.
Nutrient Criteria Technical Guidance Manual: Lakes and Reservoirs (Draft).- EPA, Office of
Water, EPA 822-D-99-001, April 1999.
Nutrient Criteria Technical Guidance Manual: Rivers and Streams (Draft). EPA. Office of
Water. EPA 822-D-99-003, September 1999.
Guidance for Data Quality'Assessment: Practical Methods for Data Analysis. EPA, Office of
Research and Development, EPA QA/G-9, January 1998.
-------
15 Nutnem Ecorcg.on, Watcrbody Type Summary Chapters. Contract # 68-C-99-226. TO# 04 August 8. 2000
2.0 QA/QC PROCEDURES
In order to develop nutrient criteria, EPA needed to obtain nutrient data from the states. EPA
requested nutrient data from the states and forwarded the data sets to INDUS via e-mail and/or
US mail. In addition, EPA tasked INDUS to convert data from three national data sets. EPA
provided INDUS with a Legacy STORE! extraction to convert into the database. The United
States Geologic Survey (USGS) sent INDUS a CD-ROM with NASQAN data to convert.
INDUS downloaded NAWQA files from the USGS Web site to convert the data. In total,
INDUS converted and imported the following national and state data sets into the Nutrient
Criteria Database:
Legacy STORET
NAWQA
NASQAN
• Region 1
Region 2 - Lake Champlain Monitoring Project
Region 2 - NYSDEC Finger Lakes Monitoring Program
Region 2 - NY Citizens Lake Assessment Program
Region 2 - Lake Classification and Inventory Survey
Region 2 - NYCDEP (1990-1998)
Region 2 - NYCDEP (Storm Event data)
Region 2 - New Jersey Nutrient Data (Tidal Waters)
• Region 5
RegionS.
Region 3 - Nitrite Data
Region 3 - Choptank River files
Region 4 - Tennessee Valley Authority
• Region 7 - Central Plains Center for BioAssessment (CPCB)
Region 7 - REMAP
Region 2 - Delaware River Basin Commission (1990-1998)
Region 3 - PA Lake Data
• Region 3 - University of Delaware
Region 10
University of Auburn
As part of the conversion process, INDUS performed a number of Quality Assurance/Quality
Control (QA/QC) steps to ensure that the data was properly converted into the Nutrient Catena
Database. Section 2 explains the steps performed by INDUS to convert the data.
-------
!5 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract # 68-C-99-226, TO* 04
2.1 National Data Sets
August 8. 2000
INDUS converted three national data sets into the Nutrient Criteria Database: Legacy STORET
data, NASQAN data, and NAWQA data. A previous EPA contractor performed the extraction of
Legacy STORET data and documented the QA/QC procedures used on the data. This
documentation is included in Appendix A. INDUS performed minimal QA/QC on the Legacy •
STORET data set because the previous contractor completed the steps outlined in Appendix A.
INDUS and EPA also agreed to convert the NAWQA and NASQAN data sets with minimal
QA/QC on the assumption that the source agency, the USGS, QA/QC'd the data.
For each of the three national data sets, INDUS ran queries to determine if 1) samples existed
without results and 2) if stations existed without samples. Per Task Order Project Officer
(TOPO) direction, these records were deleted from the system. For analysis purposes, EPA
determined that there was no need to keep station records with no samples and sample records
with no results. INDUS also confirmed that each data set contained no duplicate records.
In addition, INDUS deleted all composite results from the Legacy STORET data. Per TOPO
direction, it was decided that composite sample results would not be used in the statistical
analysis.
2.2 State Data
Each state data set was delivered in a unique format. Many of the data sets were delivered to
INDUS without corresponding documentation. INDUS analyzed each state data set in order to
determine which parameters should be converted for analysis. INDUS obtained a master
parameter table from EPA and converted the parameters in the state data sets according to those
that were present in the EPA parameter table. INDUS converted all of the data elements in the
state data sets that mapped directly to the Nutrient Criteria Database; data elements that did not ,
map to the Nutrient Criteria Database were not converted. In some cases, state data elements that
did not directly map into the Oracle database were inserted into a comment field within the
database. Also. INDUS maintained an internal record of which state data elements were inserted
into the comment field.
As part of the data clean-up efforts, INDUS determined whether or not there were any duplicate
records in the state data sets and deleted the duplicate records. INDUS checked the waterbody,
station, and sample entities for duplicate records. In addition, INDUS deleted station records
with no samples and sample records with no results. INDUS also deleted waterbody records that
were not associated with a station. In each case, INDUS maintained an internal record of how
many records were deleted. -
If INDUS encountered referential integrity errors, such as samples that referred to stations that
did not exist, or if INDUS was unsure of whether a record was a duplicate, INDUS contacted the
-------
15 Nutnmt Ecoregion/Waterbody Type Summary Chapters. Contract # 68-C-99-226. TO* 04 August 8. 2000
agency directly via e-mail or phone to resolve any issues that arose. INDUS saved an electronic
copy of each e-mail correspondence with the states to ensure that a record of the decision was
maintained. INDUS also contacted each agency to determine which laboratory methods were
used for each parameter.
Finally, INDUS examined the remark codes of each result record in the state data sets. INDUS
mapped the remark codes to the STORE! remark codes listed in Table 2 of Appendix A. If any
of the state result records were associated with remark codes marked as "Delete" in Table 2 of
Appendix A, the result records were not converted into the database.
2.3 Laboratory Methods
Many of the state data sets did not contain laboratory method information. In addition,
laboratory method information was not available for the three national data sets. In order to
determine missing laboratory method information, EPA tasked another contractor to contact the
data owners to obtain the laboratory method. In some cases, the data owners responded and the
laboratory methods were added to the database.
2.4 Waterbody Name and Class Information
A large percentage of the data did not have waterbody-specific information. The only waterbody
information contained in the three national data sets was the waterbody name, which was
embedded in the station 'location description' field. Most of the state data sets contained
waterbody name information; however, much of the data was duplicated throughout the data sets.
Therefore, the waterbody information was cleaned manually. For the three national data sets, the
'location description' field was extracted from the station table and moved to a temporary table.
The 'location description' field was sorted alphabetically. Unique waterbodies were grouped
together based on name similarity and whether or not the waterbodies fell within the same
county, state, and waterbody type. Finally, the 'location description' field was edited to include^
only waterbody name information, not descriptive information. For example, 110 MILE CREEK
AT'POMONA DAM OUTFLOW, KS po-2 was edited to 110 MILE CREEK. Also, if 100
MILE CREEK was listed ten times in New York, but in four different counties, four 100 MILE
CREEK waterbody records were created.
Similar steps were taken to eliminate duplicate waterbody records in the state data sets. If a
number of records had similar waterbody names and fell within the same state, county, and
waterbody type, the records were grouped to create a unique waterbody record.
Most of the waterbody data-did not contain depth, surface area, and volume measurements. EPA
needed this information to classify waterbody types. EPA attempted to obtain waterbody class
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract # 68-C-99-226. TO» 04 August 8, 2000
information from the states. EPA sent waterbody files to the regional coordinators and requested
that certain class information be completed by each state. The state response was poor; therefore,
EPA was not able to perform statistical analysis for the waterbody types by class.
2.5 Ecoregion Data
Aggregate nutrient ecoregions and Level HI ecoregions were added to the database using the
station latitude and longitude coordinates. If a station was lacking latitude and longitude
coordinates or county information, the data were not included in the statistical analysis.
Appendix B lists the steps taken to add the two ecoregion types (aggregate and Level IE) to the
Nutrient Criteria Database. The ecoregion names were pulled from aggregate nutrient ecoregion
and Level ffl ecoregion Geographical Information System (GIS) coverages. In summary, the
station latitude and longitude coordinates were used to determine the ecoregion under the •
following circumstances:
The latitude and longitude coordinates fell within the county/state listed in the station
table.
• The county data was missing.
The county centroid was used to determine the ecoregions under the following circumstances:
The latitude and longitude coordinates were missing, but the state/county information was
available.
The latitude and longitude coordinates fell outside the county/state listed in the station
table. The county information was assumed to be correct; therefore, the county centroid
was used.
If the latitude and longitude coordinates fell outside the continental US county coverage file
(i.e., the point fell in the ocean or Mexico/Canada), the nearest ecoregion was assigned to the
station.
3.0 STATISTICAL ANALYSIS REPORTS
Aggregate nutrient ecoregion tables were created by extracting all observations for a specific
aggregate nutrient ecoregion from the nutrient criteria database. Then, the data were reduced to
create tables containing only the yearly median values. To create these tables, the median value
for each waterbody was calculated using all observations for each waterbody by Level in
ecoregion, year, and season. Tables of decade median values were created from the yearly
median tables by calculating the median for each waterbody by Level III ecoregion by decade and
season.
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract tt 68-C-99-226, TO# 04
August 8. 2000
The Data Source and the Remark Code reports were created using all observations (all reported
values). All the other reports were created from either the yearly median tables or the decade
median tables. In other words, the descriptive statistics and regressions were run using the
median values for each waterbody and not the individual reported values.
Statistical analyses were performed under the assumption that this data set is a random sample.
If this assumption cannot be verified, the observations may or may not be valid. Values below
the 1st and 99th percentile were removed from the Legacy STORE! database prior to the creation
of the national database. Also, data were treated according the Legacy STORET remark codes in
Appendix A.
The following contains a list of each report and the purpose for creating each report:
• Data Source—Created to provide a count of the amount of data and to identify the
source(s).
• Remark Codes—Created to provide a description of the data.
• Median of Each Waterbody by Year—This was an intermediate step performed to obtain
a median value for each lake to be used in the yearly descriptive statistics reports and the
regression models.
• Median of Each Waterbody by Decade—This was an intermediate step performed to
obtain a median value for each lake to be used in the decade descriptive statistics.
Descriptive Statistics—Created to provide EPA with the desired statistics for setting
criteria levels.
• Regression Models—Created to examine the relationships between biological and
nutrient variables.
Note: Separate reports were created for each season.
i
3.1 Data Source Reports
Data source reports were presented in the following forfha'ts:
• The number and percentage of data from each data source were summarized in tables for
each aggregate nutrient ecoregion by season and waterbody type.
• The number and percentage of data from each data source were summarized in tables for
each Level III ecoregion by season and waterbody type.
The 'Frequency' represents1 the number of data values from a specific data source for each
parameter by data source. The 'Row Pet' represents the percentage of data from a specific data
source for each parameter.
-------
15 Nument Ecoregion; Waterbody Type Summary Chapters. Contract * 68-C-99-226, TO# 04 August 8. ZOOO
3.2 Remark Code Reports
Remark code reports were presented in the following formats:
• The number and percentage of data associated with a particular remark code for each
parameter were summarized in tables by Level HI ecoregion by decade and season.
• The number and percentage of data associated with a particular remark code for each
parameter were summarized in tables by Level IH ecoregion by year and season.
The 'Frequency' represents the number of data values corresponding to the remark code in the
column. The 'Row Pet' represents the percentage of data that was associated with the remark
code in that row.
In the database, remark codes that were entered by the states were mapped to Legacy STORET
remark codes. Prior to the analysis, the data were treated according to these remark codes. For
example, if the remark code was 'K,' then the reported value was divided by two. Appendix A
contains a complete list of Legacy STORET remark codes.
•»
Note: For the reports, a remark code of 'Z' indicates that no remark codes were recorded. It does
not correspond to Legacy STORET code'Z.'
3.3 Median of Each Waterbody
To reduce the data and to ensure heavily sampled waterbodies or years were not over represented
in the analysis, median value tables (described above) were created. The yearly median tables
and decade median tables were delivered to the EPA in electronic format as csv (comma
separated value or comma delimited) files.
3.4 Descriptive Statistic Reports
The number of waterbodies, median, mean, minimum, maximum, 5th, 25th , 75th , 95th percentiles,
standard deviation, standard error, and coefficient of variation were calculated- The tables
(described above) containing the decade median values for each waterbody for each parameter
were used to create descriptive statistics reports for:
• Level HI ecoregions by decade and season
• Aggregate nutrient ecoregions by decade and season
-------
15 Nutrient Ecorcgion/Waterbody Type Summary Chapters. Contract # 68-C-99-226, TO# 04
August 8. 2000
In addition, the tables containing the yearly median values for each waterbody for each parameter
were used to create descriptive statistics reports for:
• Level En ecoregions by year and season
3.5 Regression Models
Simple linear regressions using the least squares method were performed to examine the
relationships between biological and nutrient variables in lakes and reservoirs, and rivers and
streams. Regressions were performed using the yearly median tables. Chlorophyll(s) in
micrograms per liter (ug/L), secchi in meters (m), dissolved oxygen in milligrams per liter
(mg/L), turbidity, and pH were the biological variables in these models. When there was little or
no data for chlorophyll, then pH or dissolved oxygen was substituted for chlorophyll. .Secchi'
data were used in the lake and reservoir models, and turbidity data were used in the river and
stream models. The nutrient variables in these models include: total phosphorus in ug/L, total
nitrogen in mg/L, total kjeldahl nitrogen in mg/L, and nitrate and nitrite in mg/L. Regressions
were also run for total nitrogen and total'phosphorus for ecoregions where both these variables
were measured.
Note: At the time of creation of this document only regressions for aggregate nutrient ecoregion 7
for lakes and reservoirs were delivered to the EPA. Regressions for the remaining aggregate
nutrient ecoregions will be delivered in August 2000.
4.0 TIME PERIOD
Data collected from January 1990 to December 1999 were used in the statistical analysis reports.
To capture seasonal differences, the data were classified as follows:
• Aggregate nutrient ecoregions: 6, 7, and 8
Spring: April to May
- Summer: June to August
- Fall: September to October
Winter: November to March
Aggregate nutrient ecoregions: 1, 2. 9. 10, 11, 12, and 13
- Spring: - March to May
- Summer: June to August
- Fall: September to November
Winter: December to February
-------
15 Nutnent Ecoregion/Watcrbody Type Summary Chapters, Contract # 68-C-99-226. TO# 04 August 8. 2000
5.0 DATA SOURCES AND PARAMETERS FOR THE AGGREGATE NUTRIENT
ECOREGIONS
This section provides information for the nutrient aggregate ecoregions that were analyzed by
waterbody type. Each section lists the data sources for the aggregate nutrient ecoregion
including: 1) the data sources, 2) the parameters included in the analysis, and 3) the Level HI
ecoregions within the aggregate nutrient ecoregions.
Note: For analysis purposes, the following parameters were combined to form Phosphorous,
Dissolved Inorganic (DIP):
Phosphorus, Dissolved Inorganic (DIP)
Phosphorus, Dissolved (DP)
Phosphorus, Dissolved Reactive (DRP)
Orthophosphate, dissolved, mg/L as P
Orthophosphate (OPO4_PO4)
5.1 Lakes and Reservoirs
5.1.1 Aggregate Nutrient Ecoregion 2
Data Sources:
Legacy STORET
EPA Region 10
Parameter:
*
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Trichromatic, Unconnected (ug/L)
Phosphorous. Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus. Total (TP) (ug/L)
Phosphorus. Total Reactive (ug/L)
SECCHI - (m)
pH
-------
IS Nutnent EcoregionAVaterhody Type Summary Chapters, Contract * 68-C-99-226, TO# 04
Level III ecoregions:
1,2,4,5,9, 11,15,16,17, 19,21,23,41,77,78
5.1.2 Aggregate Nutrient Ecoregion 6
Data Sources:
Legacy STORE!
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
SECCHI (m)
Level HI ecoregions:
46,47,48, 54, 55, 57
5.1.3 Aggregate Nutrient Ecoregion 7
Data Sources:
LCMPD
Legacy STORET
NYCDEP
EPA Region 1
Parameters:
Chlorophyll A, Fluorometric Corrected (ug'L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric. Uncorrected (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Phosphorous. Dissolved Inorganic (DIP) (ug/L)
August 8. 2000
10
-------
15 Nument Ecoreziotv Waterbody Type Summary Chapters. Contract ft 68-C-99-226. TO# 04
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) . (mg/L)
Phosphorus, Orthophosphate, Total as P (ug/L)
Phosphorus, Total (TP) (ug/L)
SECCHI (m)
Level HI ecoregions:
51,52,53,56,60,61,83
5.1.4 Aggregate Nutrient Ecoregion 8
Data sources:
LCMPD
Legacy STORET
NYCDEP
NYCDEC
EPA Region 1
EPA Region 3
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A. Phytoplankton, Spectrophotometric, Uncorrected (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Chlorophyll B (ug/L)
Chlorophyll C (ug/L)
Phosphorous, Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus. Total (TP) (ug/L)
SECCHI (m)
Level III ecoregions:
49, 50, 58, 62. 82
August 8. 2000
11
-------
15 Nutnem Ecoregton/Waterbody Type Summary Chapters. Contract tf 68-C-99-226, TO# 04
5.1.5 Aggregate Nutrient Ecoregion 9
Data sources:
Auburn University
Legacy STORET
EPA Region 4
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Pheophytin (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Phosphorous, Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate. (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
SECCHI (m)
Level HI ecoregions:
29, 33, 35, 37, 40, 45, 64, 65, 71, 72, 74
5.1.6 Aggregate Nutrient Ecoregion 11
Data sources:
Auburn University
Legacy STORET
NYSDEC
EPA Region 3
EPA Region 4
Parameters:
Chlorophyll A. Fluorometric, Corrected (ug/L)
Chlorophyll A. Pheophytin («S/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
August 8. 2000
12
-------
15 Nument Ecoregion/Watcrbody Type Summary Chapters, Contract # 68-C-99-226, TO# 04
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected
Chlorophyll A, Trichromatic, Uncorrected
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Nitrite and Nitrate, (NO2+NO3)
Nitrogen, Total (TN)
Nitrogen, Total Kjeldahl (TKN)
Phosphorus, Total (TP)
SECCHI
Level HI ecoregions:
36,38,39, 66,67, 68, 69, 70
5.1.7 Aggregate Nutrient Ecoregion 12
Data sources:
Legacy STORET
Parameters:
August 8. 2000
(ug/L)
(ug/L) •
(ug/L)
(mg/L)
(mg/L)
(mg/L)
(mg/L)
(ug/L)
(m)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid
Chlorophyll A, Trichromatic, Uncorrected
Dissolved Oxygen (DO)
Nitrite and Nitrate, (NO2+NO3)
Nitrogen, Total (TN)
Nitrogen, Total Kjeldahl (TKN)
Phosphorus, Total (TP)
SECCHI
Level HI ecoregions:
75
5.1.8 Aggregate Nutrient Ecoregion 13
Data sources:
Legacy STORET
(ug/L)
(ug/L)
(mg/L)
(mg/L)
(mg/L)
(mg/L)
(ug/L)
(m)
13
-------
15 Nutnem EcorcgiotvWater-body Type Summary Chapters, Contract # 68-C-99-226. TO# 04
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
SECCHI (m)
Level HI ecoregions:
76
5.2 Rivers and Streams
5.2.1 Aggregate Nutrient Ecoregion 2
Data sources:
Legacy STORET
NASQAN
NAWQA
EPA Region 10
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, chromotographic- fluorometric (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Chlorophyll B, Phytoplankton, chromotographic- fluorometric (ug/L)
Phosphorous, Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Phosphorus. Orthophosphate, Total as P (ug/L)
Phosphorus, Total (TP) Reactive (ug/L)
Nitrogen, Total (TN) " (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
August 8. 2000
14
-------
15 Numem Ecorcgion/ Waierbody Type Summary Chapters. Contract r* 68-C-99-226, TO# 04
Turbidity (FTU)
Turbidity (JCU)
Turbidity (NTU)
Level EH ecoreaions:
1, 2, 4, 5, 8, 9, 11, 15, 16, 17, 19, 21, 23,41, 77, 78
5.2.2 Aggregate Nutrient Ecoregion 3
Data sources:
Legacy STORET
NASQAN
NAWQA
EPA Region 10
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, chromotographic- fluorometric (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Chlorophyll B, Phytoplankton, chromotographic- fluorometric (ug/L)
Phosphorous, Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
"Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
Turbidity (FTU)
Turbidity (JCU)
Turbidity (NTU)
Level III ecoregions:
6, 10, 12, 13. 14. 18. 20, 22, 24, 79, 80, 81
August 8. 2000
15
-------
15 Nument EcortgiomWaterbody Type Summary Chapters, Contract * 68-C-99-226. TO# 04
5.2.3 Aggregate Nutrient Ecoregion 6
Data sources:
Legacy STORE!
NASQAN
NAWQA
EPA Region 5
EPA Region 7
Parameters:
Chlorophyll A, Fluorometric, Corrected
Chlorophyll A, Phytoplankton, Spectrophotometric Acid
Chlorophyll A, Phytoplankton, chromotographic- fluorometric
Chlorophyll A, Trichromatic, Uncorrected
Chlorophyll B, Phytoplankton, chromotographic- fluorometric
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Nitrite and Nitrate, (NO2+NO3)
Nitrogen, Total (TN)
Nitrogen, Total Kjeldahl (TKN)
Organic. Phosphorus
Phosphorus, Total (TP)
Phosphorus, Orthophosphate, Total as P
Turbidity
Turbidity
Turbidity
Level III ecoregions:
46,47,48, 54, 55, 57
5.2.4 Aggregate Nutrient Ecoregion 7
Data sources:
LCMPD
Legacy STORET
NASQAN
NAWQA
NYCDEP
August 8. ;0
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(mg/L)
(mg/L)
(mg/L)
(mg/L)
(ug/L)
(ug/L)
(ug/L)
(FTU)
(JCU)
(NTU)
16
-------
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(mg/L)
(mg/L)
(mg/L)
(mg/L)
(ug/L)
(ug/L)
(ug/L)
(FTU)
(JCU)
(NTU)
15 Nutnent Ecoregion/Waterbody Type Summary Chapters. Contract tf 68-C-99-226. TO# 04
Parameters:
Chlorophyll A, Fluorometric, Corrected
Chlorophyll A, Phytoplankton, Spectrophotometric Acid
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected
Chlorophyll A, Phytoplankton, chromotographic- fluorometric
Chlorophyll A, Trichromatic, Uncorrected
Chlorophyll B, Phytoplankton, chromotographic- fluorometric
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Nitrite and Nitrate, (NO2+NO3)
Nitrogen, Total (TN)
Nitrogen, Total Kjeldahl (TKN)
Organic, Phosphorus
Phosphorus, Orthophosphate, Total as P
Phosphorus, Total (TP)
Turbidity
Turbidity
Turbidity
Level HI ecoreeions:
51,52,53,56,60,61,83
5.2.5 Aggregate Nutrient Ecoregion 9
Data sources:
Auburn University
Legacy STORET
NASQAN
NAWQA
EPA Region 3
EPA Region 5
EPA Region 7
Parameters:
Chlorophyll A, Fluorometric, Corrected (ug/'L)
Chlorophyll A, Phytoplankton, chromotographic- fluorometric (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected (ug/L)
August 8. 2000
17
-------
15 Numem Ecoreg.on/Wa.erbody Type Summary Chapters. Contract * 68-C-99-226. TO# 04
Chlorophyll A, Trichromatic, Uncorrected
Chlorophyll B, Phytoplankton, chromotographic- fluorometnc
Chlorophyll B, Phytoplankton, Spectrophotometric
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Organic, Phosphorus
Phosphorus, Orthophosphate, Total as P
Nitrite and Nitrate, (NO2+NO3)
Nitrogen, Total (TN)
Nitrogen, Total Kjeldahl (TKN)
Phosphorus, Total (TP)
Turbidity
Turbidity
Turbidity
Level HI ecoreaions:
29, 33, 35, 37,40, 45,64, 65, 71, 72, 74
5.2.6 Aggregate Nutrient Ecoregion 11
Data sources:
Auburn University
Legacy STORET
NASQAN
NAWQA
EPA Region 3
EPA Region 5
EPA Region 7
Parameters:
Chlorophyll A, Fluorometric, Corrected
Chlorophyll A, Phytoplankton, chromotographic- fluorometnc
Chlorophyll A, Phytoplankton, Spectrophotometnc Acid
Chlorophyll A, Phytoplankton, Spectrophotometnc, Uncorrected
Chlorophyll A, Trichromatic, Uncorrected
Chlorophyll B, Phytoplankton, chromotographic- fluorometnc
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Organic, Phosphorus
August 8, 2000
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(mg/L)
•(ug/L)
(ug/L)
(mg/L)
(mg/L)
(mg/L)
(ug/L)
(FTU)
(JCU)
(MTU)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(mg/L)
(ug/L)
18
-------
15 Nutnent Ecoregion/Waterfaody Type Summary Chapters. Contract * 68-C-99-226. TO* 04
Phosphorus, Orthophosphate, Total as P (ug/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Total (TP) (ug/L)
Turbidity . (FTU)
Turbidity (JCU)
Turbidity (NTU)
Level HI ecoregions:
36, 38, 39, 66, 67, 68, 69, 70
5.2.7 Aggregate Nutrient Ecoregion 12
Data sources:
Legacy STORET
NASQAN
NAWQA
Parameters:
Chlorophyll A, Phytoplankton, Spectrophotometric Acid (ug/L)
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected (ug/L)
Chlorophyll A, Trichromatic, Uncorrected (ug/L)
Chlorophyll B, Phytoplankton, Spectrophotometric (ug/L)
Phosphorous. Dissolved Inorganic (DIP) (ug/L)
Dissolved Oxygen (DO) (mg/L)
Nitrite and Nitrate, (NO2+NO3) (mg/L)
Nitrogen, Total (TN) (mg/L)
Nitrogen, Total Kjeldahl (TKN) (mg/L)
Phosphorus, Orthophosphate, Total as P (ug/L)
Phosphorus, Total (TP) (ug/L)
Turbidity (FTU)
Turbidity (NTU)
Level III ecoregions:
August 8. 2000
75
19
-------
15 Nutncnt Ecoregion/Waterbody Type Summary Chapters, Contract # 68-C-99-226. TO# 04
5.2.8 Aggregate Nutrient Ecoregion 14
Data sources:
Legacy STORET
NASQAN
NAWQA
NYCDEP
EPA Region 1
EPA Region 3
Parameters:
Chlorophyll A, Fluorometric, Corrected
Chlorophyll A, Phytoplankton, Spectrophotometric Acid
Chlorophyll A, Phytoplankton, Spectrophotometric, Uncorrected
Chlorophyll A, Trichromatic, Uncorrected
Phosphorous, Dissolved Inorganic (DIP)
Dissolved Oxygen (DO)
Nitrite and Nitrate, (NO2+NO3)
Phosphorus, Orthophosphate, Total as P
Nitrogen, Total Kjeldahl (TKN)
Nitrogen, Total (TN)
Phosphorus, Total (TP)
Turbidity
Turbidity
Turbidity
Level III ecoregions:
59, 63, 84
August 8, 2000
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(ug/L)
(mg/L)
(mg/L)
(ug/L)
(mg/L)
(mg/L)
(ug/L)
(FTU)
(JCU)
(NTU)
20
-------
15 Nutrient Ecorcgion/Waterbody Type Summary Chapters, Contract # 68-C-99-226, TO# 04
August 8, 2000
APPENDIX A
Process Used to QA/QA the Legacy STORE! Nutrient Data Set
-------
-------
15 Nutrient Ecoregiotv Waterbody Type Summary Chapters. Contract it 68-C-99-?26 TO# 04
August 8. 2000
I. STORFT water quality parameters and Station and Sample data items were retrieved
from USEPA's mainframe computer. Table 1 lists all retrieved parameters and data
TABLE 1: PARAMETERS AND DATA ITEMS RETRIEVED FROM STORET
Parameters Retrieved
(STORET Parameter Code)
TN - mg/I (600)
TKN - mg/1 (625)
Total Ammonia (NH3+NH4) - mg/1 (610)
Total NO2+NO3 - mg/I (630)
Total Nitrite-mg/1 (615)
Total Nitrate - mg/1 (620)
Organic N - mg/L (605)
TP - mg/1 (665)
Chlor a - ug/'L (spectrophotometric method,
32211)
Chlor a - ug/L (fluorometric method corrected,
32209)
Chlor a - ug/L (trichromatic method corrected,
32210)
Secchi Transp. - inches (77)
Secchi Transp. - meters (78)
+TurbidityJCUs(70)
-Turbidity FTUs (76)
-i-Turbidity NTUs field (82078)
-Turbidity NTUs lab (82079)
-DO - mg/L (300)
+Water Temperature (degrees C, 10/degrees F
II)
Station Data Items Included
(STORET Item Name)
Station Type (TYPE)
Agency Code (AGENCY)
Station No. (STATION)
Latitude - std. decimal degrees
(LATSTD)
Longitude - std. decimal degrees
(LONGSTD)
Station Location (LOCNAME)
County Name (CONAME)
State Name (STNAME)
Ecoregion Name - Level HI
(ECONAME)
Ecoregion Code -Level III
(ECOREG)
Station Elevation (ELEV)
Hydrologic Unit Code
(CATUNIT)
RF1 Segment and Mile
RCHMIL)
RF1 ON/OFF tag (ONOFF)
Sample Data Items
Included
(STORET Item Name)
™^^^™^^^™™~^"^"^™™»i^™.i
Sample Date (DATE)
Sample Time (TIME)
Sample Depth (DEPTH)
Composite Sample Code
(SAMPMETH)
- If datai record available at a station included data only for this or other such marked parameters, data record was '
deleted rrom data set.
The following set of retrieval rules were applied to the retrieval process:
• Data were retrieved for waterbodies specified only as 'lake', 'stream', 'reservoir',
or 'estuary' under "Station Type" parameter. Any stations specified as 'well,'
'spring,' or 'outfall' were eliminated from the retrieved data set.
• Data were retrieved for station types described as 'ambient' (e.g., no pipe or facility
discharge data) under the "Station Type" parameter.
• Data were retrieved that were designated as 'water' samples only. This includes
'bottom' and 'vertically integrated' water samples.
A-l
-------
15 Nutnent&wtgion/Waierbody Type Summary Chapters. Contract * 68-C-99-226. TO* 04 August 8. 2000
• Data were retrieved that were designated as either 'grab' samples and 'composite'
samples (mean result only).
• No limits were specified for sample depths.
• Data were retrieved for all fifty states, Puerto Rico, and the District of Columbia.
• The time period specified for data retrieval was January 1990 to September 1998.
• No data marked as "Retired Data" (i.e., data from a generally unknown source) were
retrieved.
• Data marked as "National Urban Runoff data" (i.e., data associated with sampling
conducted after storm events to assess nonpoint source pollutants) were included in
the retrieval. Such data are part of STORET's 'Archived' data.
• Intensive survey data (i.e., data collected as part of specific studies) were retrieved.
2 Any values falling below the 1st percentile and any values falling above the 99th
percentile were transformed into 'missing' values (i.e., values were effectively removed
from the data set, but were not permanently eliminated).
3. Based on the STORE! 'Remark Code' associated with each retrieved data point, the
following rules were applied (Table 2):
TABLE 2: STORET REMARK CODE RULES
STORET Remark Code
blank - Data not remarked.
A - Value reported is the mean of two or more determinations.
B - Results based upon colony counts outside the acceptable ranges.
C - Calculated. Value stored was not measured directly, but was
calculated from other data available.
D - Field measurement.
_^_————^—^—
E- Extra sample taken in compositing.process.
F - In the case of species. F indicates female sex.
G - Value reported is the maximum of two or more determinations.
Keep or Delete Data Point
Keep
Keep
Delete
Keep
Keep
^^•^^•«—
Delete
•^^••^"•"^•i
Delete
Delete
A-2
-------
15 Nutnent Ecorcgion/Waterbody Type Summary Chapters. Contract # 68-C-99-226. TO# 04
August 8, 2000
TABLE 2: STORET REMARK tODE RULES
H-
I-
J-
K-
L-
M-
N-
O-
P-
Q-
R-
S-
T-
U-
V-
w-
X-
Y-
Z-
Vaiue based on field kit determination; results may not be accurate.
The value reported is less than the practical quantification limit and
greater than or equal to the method detection limit.
Estimated. Value shown is not a result of analytical measurement
Off-scale low. Actual value not known, but known to be less than
value shown.
Off-scale high. Actual value not known, but known to be greater
than value shown.
Presence of material verified, but not quantified. Indicates a
positive detection, at a level too low to permit accurate
quantification.
Presumptive evidence of presence of material.
Sample for, but analysis lost. Accompanying value is not
meaningful for analysis.
Too numerous to count
Sample held beyond normal holding time.
Significant rain in the past 48 hours.
Laboratory test.
Value reported is less than the criteria of detection.
Material was analyzed for, but not detected. Value stored is the
limit of detection for the process in use.
Indicates the analyte was detected in both the sample and associated
method blank.
Value observed is less than the lowest value reportable under
remark "T."
Value is quasi vertically-integrated sample.
Laboratory analysis from unpreserved sample. Data may not be
accurate.
Too manv colonies were present to count.
Delete
Keep, but used one-half the
reported value as the new value.
Delete
Keep, but used one-half the reported
value as the new value.
Keep
Keep, but used one half the reported
value as the new value.
Delete
Delete
Delete
Delete
Delete
Keep
Keep, but replaced reported value with
0.
Keep, but replaced reported value with .
0.
Delete
Keep, but replaced reported value with
.0.
No data point with this remark code in
data set.
Delete
Delete
A-3
-------
15 Nutncnt Ecorcgion/Waierbody Type Summary Chapters, Contract rt 68-C-99-226, TOtf 04
August 8, 2000
TABLE 2: STORET REMARK CODE RULES
If a parameter (excluding water temperature) value was less than or equal to zero and no remark code was present.
the value was transformed into a missing value.
Rationale - Parameter concentrations should never be zero without a proper explanation. A method detection limit
should at least be listed.
4. Station records were eliminated from the data set if any of the following descriptors were
present within the "Station Type" parameter:
> MONITR - Source monitoring site, which monitors a known problem or to detect
a specific problem.
* HAZARD - Site of hazardous or toxic wastes or substances.
* ANPOOL - Anchialine pool, underground pools with subsurface connections to
watertable and ocean.
> DOWN - Downstream (i.e., within a potentially polluted area) from a facility
which has a potential to pollute.
•• IMPDMT - Impoundment. Includes waste pits, treatment lagoons, and settling
and evaporation ponds.
+ STMSWR - Storm water sewer.
* LNDFL - Landfill.
* CMBMI - Combined municipal and industrial facilities.
*• CMBSRC - Combined source (intake and outfall).
Rationale - these descriptors potentially indicate a station location that at which an
ambient water sample would not be obtained (i.e., such sampling locations are potentially
biased) or the sample location is not located within one of the designated water body types
(i.e, ANPOOL).
5. Station records were eliminated from data set if the station location did not fall within any
established cataloging unit boundaries based on their latitude and longitude.
5. Using nutrient ecoregion GIS coverage provided by USEPA. all station locations with
latitude and longitude coordinates were tagged with a nutrient ecoregion identifier
(nutrient region identifiers are values 1-14) and the associated nutrient ecoregion name.
Because no nutrient ecoregions exist for Alaska, Hawaii, and Puerto Rico, stations located
in these states were tagged with "dummy" nutrient ecoregion numbers (20 = Alaska, 21 =
Hawaii, 22 = Puerto Rico).
A-4
-------
1 5 Nutnent Ecorcgion/Waterfaody Type Summary Chapters. Contract * 68-C-99-226. TOtf 04 A g ,
7. Using information provided by TVA, 59 station locations that were marked as 'stream'
locations under the " " ''
8.
, caons at were mare as 'strea
locations under the "Station Type" parameter were changed to 'reservoir' locations.
, STORET Were 3SSeSSed f°r ±e P^m* of duplicate data
s The duplicate data identification process consisted of three steps: 1) identification
rHt ', T ?ed 6XaCtly " temS 9f ^ V3riable retrieve* 2> identification of
records that matched exactly in terms of each variable retrieved except for their station
identification numbers; and 3) identification of records that matched exactly in terms of
each variable retrieved except for their collecting agency codes. The data duplication
assessment procedures were conducted using SAS programs.
Prior to initiating the data duplication assessment process, the STORET nutrient data set
contained:
41,210 station records
924,420 sample records
Identification of exactly matching; records
All data records were sorted to identify those records that matched e>-.ctly For two
records to match exactly, all variables retrieved had to be the same. For example
they had to have the same water quality parameters, parameter results and associated
remark codes, and have the same station data item and sample data item information
hxactly matching records were considered to be exact duplicates, and one duplicate
record of each identified matching set were eliminated from the nutrient data set A
total of 924 sample records identified as duplicates by this process were eliminated
from the data set.
Identification of matching records with the exception of station identification number
All data records were sorted to identify those records that matched exactly except fo'r
their station identification number (i.e., they had the same water quality parameters
parameter results and associated remark codes, and the same station and sample data
item information with the exception of station identification number). Although the
station identification numbers were different, the latitude and longitude for the
stations were the same indicating a duplication of station data due to the existence of
two station identification numbers for the same station. For each set of matching
records, one of the station identification numbers was randomly selected and its
associated data were eliminated from the data set. A total of 686 sample records
were eliminated from the data set through this process.
%
Identification of matching records with the exception of collecting agencv codes
All data records were sorted to identify those records that matched exactly except for
their collecting agency codes (i.e., they had the same water quality parameters,
parameter results and associated remark codes, and the same station and sample data
item information with the exception of agency code). The presence of two matching
A-5
-------
15 Nutncnt Ecorcg.orvWatcrbody Type Summary Chapters. Contract * 68^-99-226. TO# 04 August 8. 2000
data records each with a different agency code attached to it suggested that one
agency had utilized data collected by the other agency and had entered the data
into STORE! without realizing that it already had been placed in STORE! by the
other agency. No matching records with greater than two different agency codes
were identified. For determining which record to delete from the data set, the
following rules were developed:
+ If one of the matching records had a USGS agency code, the USGS record
was retained and the other record was deleted.
- Higher level agency monitoring program data were retained. For example,
federal program data (indicated by a "1" at the beginning of the STORE!
agency code) were retained against state (indicated by a "2") and local
(indicated by values higher than 2) program data.
•> If two matching records had the same level agency code, the record from the
agency with the greater number of overall observations (potentially indicating
the data set as the source data set) was retained.
A total of 2,915 sample records were eliminated through this process.
As a result of the duplicate data identification process, a total of 4,525 sample records and
36 individual station records were removed from the STORE! nutrient data set. The
resulting nutrient data set contains the following:
41,174 station records
919,895 sample records
A-6
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract # 68-C-99-226, TO# 04
August 8. 2000
APPENDIX B
Process for Adding Aggregate Nutrient Ecoregions and Level in Ecoregions
-------
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters. Contract * 68-C-99-226. TO# 04 Au stg :>o
Steps for assigning Level m ecoregions and aggregate nutrient ecoregion codes and names to the
Nutrient Criteria Database (performed using ESRI's ARCView v 3.2 and its GeoProcessing
Wizard). This process is performed twice; once for the Level m ecoregions and once for the
aggregate nutrient ecoregions:
Add the station .dbf data table, with latitude and longitude data, to project by 'Add Event
Theme1
Convert to the shapefile format
Create 'stcojoin1 field, populate the 'stcojoin' field with the following formula:
'County.LCase+State.LCase1
Add field 'stco_flag' to the station shapefile
Spatially join the station data with the county shapefile (cntysjnedshp)
Select 'stcojoin' (station shapefile) field = 'stcojoin2' (county shapefile) field
Calculate "stco_flag = 0 for selected features
Step through all blank stco_flag records, assign the appropriate stco_flags, see list on the
following page
Select all stco_flags = 4 or 7, switch selection
Calculate ctyfips (station) to cntyfips (county)
Stop editing and save edits, remove all joins
Add in 2 new fields'x-coordl'and'y-coordl'into station table
Select all stco_flags = 1,2, and 6
Link county coverage with station coverage
Populate 'x-coordl' and 'y-coordl' with 'x-coord' and 'y-coord1 from county coverage
Select all stco_flags = 1, 2, and 6, export to new .dbf file
Add new .dbf file as event theme
Convert to shapefile format
Add the following fields to both tables (original station and station!26 shapefiles):
'eco_pmer', 'name_omerf, 'dis_aggrl, *code_aggrf, 'name_aggrl
Spatially join station!26 and eco-omer coverage
Populate the 'eco^mer1 field with the 'eco1 value
Repeat the previous step using the nearest method (line coverage) to determine ecoregion
assignment for the line coverage, if some records are blank
Spatially join the ecoregion line coverage to station coverage, link the
LPoly# (from the spatially joined table) to Poly# (of the ecoregion polygon
coverage)
Populate the Eco fields with the appropriate information.
Follow the same steps to the Rpolytf
Remove all table joins
Link the useco-om table with station!26 table and populate 'name-omer1 field
Spatially join station aggr coverage and populate the rest of the fields. Follow the same
procedures as outlined above
Remove all joins
B-l
-------
15 Nugent Ecoreg-orvWa^ody Type Summary Chapters. Conmc, * 68-C-99-226. TO, 04 August 8. 2000
Make sure the new Eco field added into the station!26 shapefile are different than the
ones in the original station shapefile
Join station!26 and station coverage by station-id
Populate all the Eco fields in the original station coverage
Remove all joins
Matesure that all ctyfips records are populate* the county shapefile may have to be
joined to populate the records, if the stco_flag - 4
Create 2 new fields, -NewCounty1 and 'NewState1
Populate these new fields with a spatial join to the county coverage _
. Select by feature (ecoregion shapefile) all of the records m the station shapefile
Switch selection (to get records outside of the ecoregion shapefile) .
If any of the selected records have stco_flag = 0 (they are outside the ecoregion
shapefile boundary), calculate them to stco_flag - 3
rigned based on the latitude/longitude coordinates.)
eae county vTlues from the data set did not match the state and county
values from the spatial join, but the point was inside the county coverage
boundary. ...
( Ecoresions were assigned based on the county centroid.)
StaTeSd county vdues from the data set did not match the state and county
vlfs from the spaTial join because the point was ^%™g*£"£
boundary; therefore, there was nothing to compare to the point (i e the point
falls inthe ocean/Canada/Mexico). This occurred for some coastal samples.
(Ecoreeions were assigned based on the county centroid.)
S staTe Sd county values from the data set matched the state and county from
the spatial join, but the point was outside the ecoregion boundary.
(Ecoregions were assigned to the closest ecoregion to .the : point)
No ecoregions were assigned to AK, HI, PR, BC, and GU.)
Latitude/longitude coordinates were provided, but there was no county
were assigned based on the latitude/longitude coordinates.)
county values from the data set did not match the state and county
values from the spatial join due to spelling or naming convention errors.
The matches were performed manually.
Regions were assigned based on the latitude/longitude coordinates.)
B-2
-------
15 Nutrient Ecorcgion/Waterbody Type Summary Chapters. Contract # 68-C-99-226, TO# 04 August $ "'000
6 No latitude/longitude coordinates were provided, only state and county
information was available.
(Ecoregions were assigned based on the county centroid.)
7 No latitude/longitude coordinates were provided, only state information was
available; therefore, no matches were possible.
(Ecoregions were not assigned. Data is not included in the analysis.)
B-3
-------
-------
15 Nutrient Ecoregion/Waterbody Type Summary Chapters, Contract tt 68-C-99-226, TO# 04
August 8. 2000
APPENDIX C
Glossary
-------
-------
15 Nutrient Ecoregion/ Waterbody Type Summary Chapters, Contract # 68-C-99-226. TO# 04 ' August 8. 2000
Coefficient of Variation—Equal to the standard deviation divided by the mean multiplied by 100.
Maximum—The highest value.
Mean—The arithmetic average.
Median—The 50th percentile or middle value. Half of the values are above the median, and half
of the values are below the median.
Minimum—The lowest value.
Standard Deviation—Equal to the square root of the variance with the variance defined as the
sum of the squared deviations divided by the sample size minus one.
Standard Error— Standard error of the mean is equal to the standard deviation divided by the
square root of the sample size.
C-l
-------
------- |