v>EPA
United States
Environmental Protection
Agency
EPA 841 -R-19-001 | December 2020
National Rivers
and Streams
Assessment
2013-2014:
A Collaborative Survey

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Acknowledgements
The U.S. Environmental Protection Agency (EPA) Office of Water (OW) would like to thank the many people who
contributed to this project. Without the collaborative efforts and support of the National Rivers and Streams
Assessment (NRSA) steering committee, state and tribal environmental agencies, field crews, biologists, taxonomists,
laboratory staff, data analysts, program administrators, EPA regional coordinators, statisticians, quality control staff,
data management staff, and many reviewers, this assessment of our rivers and streams would not have been possible
To our numerous partners, we express our gratitude.
State, Tribal, Territory and Interstate Partners
Alabama Department of Environmental
Management
Alaska Department of Environmental Conservation
Arizona Department of Environmental Quality
Arizona Game and Fish Department
Arkansas Department of Environmental Quality
Bad River Band of Lake Superior Chippewa Indians
California Department of Fish and Wildlife
Cheyenne River Sioux Tribe
Colorado Department of Public Health and
Environment
Connecticut Department of Energy and
Environmental Protection
Delaware Department of Natural Resources and
Environmental Control
Delaware River Basin Commission
Florida Department of Environmental Protection
Fort Peck Assiniboine and SiouxTribal Nations
Georgia Department of Natural Resources
Hawaii Department of Health
Hawaii Division of Aquatic Resources
Idaho Department of Environmental Quality
Illinois Environmental Protection Agency
Indiana Department of Environmental
Management
Iowa Department of Natural Resources
Kansas Department of Health and Environment
Kentucky Division of Water
Lac Du Flambeau Tribe
Louisiana Department of Environmental Quality
Maine Department of Environmental Protection
Maryland Department of Natural Resources
Massachusetts Department of Environmental
Protection
Michigan Department of Environmental Quality
Minnesota Pollution Control Agency
Mississippi Department of Environmental Quality
Missouri Department of Conservation
Montana Department of Environmental Quality
Montana Fish, Wildlife and Parks
Nebraska Department of Environmental Quality
Nevada Division of Environmental Protection
New Hampshire Department of Environmental
Services
New Jersey Department of Environmental
Protection
New Mexico Environment Department
New York Department of Environmental
Conservation
Nez Perce Tribe
North Carolina Department of Water Quality
North Dakota Department of Health
Ohio Environmental Protection Agency
Ohio River Valley Water Sanitation Commission
Oklahoma Water Resources Board
Oregon Department of Environmental Quality
Pennsylvania Department of Environmental
Protection
Rhode Island Department of Environmental
Management
South Carolina Department of Health and
Environmental Control
South Dakota Department of Environment and
Natural Resources
Southern Ute Indian Tribe
Standing Rock SiouxTribe
Susquehanna River Basin Commission
Tennessee Department of Environment and
Conservation
Texas Commission on Environmental Quality
Utah Department of Environmental Quality
Vermont Department of Environmental
Conservation
Virginia Department of Environmental Quality
Washington State Department of Ecology
West Virginia Department of Environmental
Protection
Wind River Indian Reservation
Wisconsin Department of Natural Resources
Wyoming Department of Environmental Quality
Yakima Tribe
Federal Partners
Additional Collaborators
U.S. Bureau of Land Management
U.S. Fish and Wildlife Service
U.S. Forest Service
U.S. Geological Survey
National Park Service
U.S. EPA Office of Research and Development
U.S. EPA Office of Water
U.S. EPA Regions 1-10
Amnis Opes Institute
Central Plains Center for Bioassessment
Dynamac
EcoAnalysts Inc.
Enviroscience Inc.
Great Lakes Environmental Center Inc.
Michigan State University
Midwest Biodiversity Institute
Oregon State University
PG Environmental
TetraTech Inc.
University of Houston-Clear Lake
University of Iowa
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Acknowledgements (continued)
The following people played a pivotal role and lent their expertise to data oversight and analysis on this project: Karen
Blocksom, Rich Haugland, Phil Kaufmann, Tom Kincaid, Tony Olsen, Steve Paulsen, Dave Peck, John Stoddard, and Marc
Weber from the EPA Office of Research and Development; Richard Mitchell, Brian Hasty, and Leanne Stahl from EPA
OW; and Alan Herlihy from Oregon State University
The National Rivers and Streams Assessment was led by Richard Mitchell, with significant programmatic contributions
from Susan Holdsworth, Colleen Mason, Brian Hasty, Amina Pollard, Sarah Lehmann, Ellen Tarquinio, Mimi Soo-Hoo
(ORISE participant), Michelle Maier, Lareina Guenzel, and Danielle Grunzke from EPA OW; Steve Paulsen from the
EPA Office of Research and Development; and EPA regional coordinators. This report presents 2013 and 2014 data
collected and analyzed with methods originally published in the Wadeable Streams Assessment 2004 (USEPA 2006)
and in the National Rivers and Streams Assessment 2008-09 (USEPA 2016b) reports. We thank state and EPA partners
who provided comments on a draft version of the report.
This report provides information on the quality of the nation's perennial rivers and streams. It does not impose legally
binding requirements on EPA, states, tribes, other regulatory authorities, or the regulated community. This document
does not confer legal rights or impose legal obligations upon any member of the public. This document does not
constitute a regulation, nor does it change or substitute for any Clean Water Act (CWA) provision or EPA regulation.
EPA could update this document as new information becomes available. EPA and its employees do not endorse
any products, services, or enterprises. Mention of trade names or commercial products in this document does not
constitute an endorsement or recommendation for use.
The suggested citation for this document is:
U.S. Environmental Protection Agency. 2020. National Rivers and Streams Assessment 2013-2014: A Collaborative Survey. EPA 841-R-19-001.
Washington, DC. https://www.epa.gov/national-aquatic-resource-surveys/nrsa
Data from the National Rivers and Streams Assessment and other National Aquatic Resource Surveys are available at https://www.epa.gov/
national-aquatic-resource-surveys/data-national-aquatic-resource-surveys
The suggested citation for the data is:
U.S. Environmental Protection Agency. 2020. National Aquatic Resource Surveys. National Rivers and Streams Assessment 2013-2014. (Data and
metadata files). Available from: http://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys. Date accessed:
YYYY-MM-DD.
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Acknowledgments	
Figures	
Acronyms and Abbreviations	
Executive Summary	
Key Findings	
Next Steps	
Chapter 1 Introduction	
The Nation's Rivers and Streams	
The National Aquatic Resource Surveys
Chapter 2 Design of the Survey	1
Choosing Sampling Sites	1
Determining What to Measure	
Analyzing Data	
Assessing the Relationship between Key Stressors and Biological Quality
Analyzing Human Health Indicators	
Chapter 3 Quality of the Nation's Rivers and Streams	
Biological Indicators	20
Chemical Indicators	22
Physical Indicators	25
Associations Between Stressors and Biological Quality	27
Chapter 4 Human Health Indicators	30
Chapter 5 Comparing Results Across Ecoregions	35
Northern Appalachians	36
Southern Appalachians	38
Coastal Plains	40
Upper Midwest	42
Temperate Plains	44
Southern Plains	46
Northern Plains	48
Western Mountains	50
Xeric 	52
Chapter 6 Summary and Next Steps	54
Next Steps	54
Sources and References	55
Appendix A: Indicator Table and List of Measurements	58
Appendix B: Ecoregion-Specific Benchmarks Used in NRSA	60
Appendix C: Percentage of Stream Miles in Each Category: 2008-09 Estimates (Original and
Recalculated), 2013-14 Estimates, and Difference	61
Appendix D: Photo Citations	65
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Figures
Figure 2.1 NRSA 2013-14 Sampled Sites	13
Figure 2.2 NRSA Indicators	14
Figure 2.3 What Happens on a Field Day?	15
Figure 2.4 Illustrative Graphic of Percentiles Drawn from a Reference Distribution Curve for Good, Fair, and Poor
Assessment	16
Figure 3.1 Interpreting NRSA Graphics (Using Fish Indicator As an Example)	19
Figure 3.2 Macroinvertebrates: NRSA 2013-14 National Results	20
Figure 3.3 Fish: NRSA 2013-14 National Results	22
Figure 3.4 Phosphorus: NRSA 2013-14 National Results	23
Figure 3.5 Nitrogen: NRSA 2013-14 National Results	23
Figure 3.6 Salinity: NRSA 2013-14 National Results	24
Figure 3.7 Acidification: NRSA 2013-14 National Results	24
Figure 3.8 In-stream Fish Habitat: NRSA 2013-14 National Results	25
Figure 3.9 Riparian Disturbance: NRSA 2013-14 National Results	26
Figure 3.10 Riparian Vegetative Cover: NRSA 2013-14 National Results	26
Figure 3.11 Excess Streambed Sediments: NRSA 2013-14 National Results	27
Figure 3.12 Relative Extent, Relative Risk, and Attributable Risk to Macroinvertebrates:
NRSA 2013-14 National Results	29
Figure 4.1 Enterococci: NRSA 2013-14 National Results	30
Figure 4.2 Microcystes: NRSA 2013-14 National Results	31
Figure 4.3 Mercury in Fish Tissue (Plugs): NRSA 2013-14 National Results	32
Figure 4.4 Percentage of River Miles with Fillet Composite Concentrations Above Human Health Fish Tissue
Benchmarks	33
Figure 5.1	NARS Aggregated Ecoregions	35
Figure 5.2	Ecoregional Results for the Northern Appalachians	37
Figure 5.3	Ecoregional Results for the Southern Appalachians	39
Figure 5.4	Ecoregional Results for the Coastal Plains	41
Figure 5.5	Ecoregional Results for the Upper Midwest	43
Figure 5.6	Ecoregional Results for the Temperate Plains	45
Figure 5.7	Ecoregional Results for the Southern Plains	46
Figure 5.8	Ecoregional Results for the Northern Plains	48
Figure 5.9	Ecoregional Results for the Western Mountains	51
Figure 5.10 Ecoregional Results for the Xeric Ecoregion	53
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Acronyms and Abbreviations
ANC
Acid-neutralizing capacity
CWA
Clean Water Act
EPA
U.S. Environmental Protection Agency
MMI
Multimetric index
NARS
National Aquatic Resource Surveys
NHD
National Hydrography Dataset
NRSA
National Rivers and Streams Assessment
OW
Office of Water
PCB
Polychlorinated biphenyls
PFAS
Per- and polyfluoroalkyl substances
PFOA
Perfluorooctanoic acid
PFOS
Perfluorooctane sulfonate
ppb
Parts per billion
qPCR
Quantitative polymerase chain reaction
Ecoregions
CPL
Central Plains ecoregion
NAP
Northern Appalachians ecoregion
NPL
Northern Plains ecoregion
SAP
Southern Appalachians ecoregion
SPL
Southern Plains ecoregion
TPL
Temperate Plains ecoregion
UMW
Upper Midwest ecoregion
WMT
Western Mountains ecoregion
XER
Xeric ecoregion
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Executive Summary
ivers and streams shape America's landscape.They support fish and other aquatic life and provide food and
habitat for birds and wildlife. Rivers and streams provide us with water for drinking, irrigation, hydropower,
navigation, waste management, industrial use, and recreation. Indeed, rivers and streams are vital to our
country's history, culture, and economy.
The National Rivers and Streams Assessment (NRSA) is one of the four National Aquatic Resource Surveys (NARS)
collectively designed to assess the quality of America's water resources. The National Rivers and Streams Assessment
2013-2014: A Collaborative Survey describes the results of a nationwide statistical survey that was conducted in the
summers of 2013 and 2014 by EPA and its state, tribal, and federal partners. The report provides a snapshot of the
quality of perennial rivers and streams across the U.S. during the sampling period. The report also includes information
on the changes from the previous rivers and streams survey in 2008-09.
For 2013-14, survey crews sampled 1,853 river and stream sites. These sites were part of a random sample selected
to represent the quality of the larger population of perennial rivers and streams across the lower 48 states, from
large rivers to small headwater streams. Water quality was assessed using physical, chemical, biological, and human
health indicators. To determine water quality conditions, sampling results were compared to regional or national
benchmarks.
When appropriate, EPA used the nationally applicable benchmarks, such as the human health screening value for
mercury in fish tissue, to interpret survey results. Results were categorized as "exceeds benchmark" or "at or below
benchmark" for most of these national benchmarks. Some of the water quality indicators vary naturally across the
country. For these indicators, EPA developed regionally relevant benchmarks drawing from conditions represented by
a set of least-disturbed (or reference) sites in each of the nine different ecoregions.The reference site distribution was
used to establish categories of"good,""fair,"or"poor," which were applied to the findings. Waters scoring "good" had
indicator values as good as the best 75 percent of the distribution of reference sites in an ecoregion. Waters scoring
"poor" had indicator values worse than 95 percent of the distribution of reference sites in an ecoregion. Waters scoring
\ew.-\	V*
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"fair" had indicator values in between the "good" and "poor" categories. Note that these categories are relative to NRSA
benchmarks, not individual state water quality standards. Therefore, the nationally representative snapshot of water
quality provided by NRSA does not have regulatory implications; the NRSA categories are not replacements for the
evaluation states and tribes conduct on the quality of rivers and streams relative to state water quality standards.
This report provides inferences about the quality of perennial rivers and streams at the national and ecoregion
scales, as well as national differences in quality compared to 2008-09 survey data.1 Additional information from the
assessment, including regional results (e.g., for EPA regions and Mississippi River subwatersheds), regional differences
in quality from 2008-09 to 2013-14, and differences in wadeable stream quality between 2013-14 and the initial
Wadeable Streams Assessment in 2004, is available in an interactive dashboard online: https://riverstreamassessment.
epa.gov/dashboard.
KEY FINDINGS	
The results below represent the full population of river and stream miles assessed during the rivers and streams
survey (i.e., 1.2 million perennial river and stream miles) for all indicators except contaminants in fish fillet tissue.
Contaminants in fish fillet tissue were assessed in larger river systems (rivers that are 5th order or greater), and results
are for this sampled population of river miles. For more information on benchmarks and indicators, see Chapters 2
through 4 and the NRSA 2013-14Technical Support Document (EPA 2020a).
~	Biological Indicators
The survey looked at two types of biological indicators: 1) benthic (bottom-dwelling) macroinvertebrates such
as dragonfly and stonefly larvae, snails, worms, and beetles, and 2) fish. Of the nation's river and stream miles,
30% (365,850 miles) were rated good based on benthic macroinvertebrate scores relative to the least-disturbed
reference distribution, and 26% (319,899 miles) were rated good based on fish community scores relative to the
least-disturbed reference distribution.
~	Chemical Indicators
NRSA reports on four chemical stressors: total phosphorus, total nitrogen, salinity and acidification. Fifty-eight
percent (706,754 miles) of the nation's rivers and streams were rated poor for phosphorus relative to the least-
disturbed reference distribution, and 43% (522,796 miles) were rated poor for nitrogen relative to the least-
disturbed reference distribution. The data collected for this report indicate that a finding of poor biological
condition based on benthic macroinvertebrates was almost twice as likely in rivers and stream miles rated poor for
nutrients.
~	Physical Habitat Indicators
Four indicators of physical habitat were assessed for NRSA 2013-14. Three were compared to least-disturbed
reference sites' in-stream fish habitat, streambed excess fine sediments, and riparian vegetative cover (vegetation
in the land corridor surrounding the river or stream). Riparian disturbance (human activities near the river or
stream) was scored based on number and proximity of features such as roads and buildings. Physical habitat
indicator scores revealed that 64% (778,585 miles) of river and stream miles were rated good for in-stream fish
habitat. In addition, 58% (701,763 miles) of river and stream miles had good ratings for riparian vegetation, and
52% (627,829 miles) scored good for streambed sediment levels. Benthic macroinvertebrate condition was almost
twice as likely to be rated poor when sediment levels were rated poor than when they were rated fair or good.
~	Human Health Indicators
The survey evaluated river and stream quality compared to three indicators that provide insight into potential risks
to human health: enterococci (bacteria that indicate fecal contamination), microcystins (naturally occurring algal
'Though the 2008-09 survey results were generated with the best available survey design and indicators at the time, EPA continued to make improvements in
both design and indicators and implemented improvements for 2013-14. Thus, the results shown in the 2008-09 report cannot be directly compared to the results
of this 2013-14 report. To accurately report differences between the two surveys, EPA reevaluated the data from the 2008-09 survey taking into account these
improvements. See Chapters 3 and 4 for more information.
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toxins), and contaminants in fish tissue. The results for enterococci were below the EPA criteria recommendations
for pathogens in 69% (833,529 miles) of river and stream miles. Cyanobacteria can produce a variety of toxins;
the rivers and streams survey measured levels of one of these — microcystins. Only a small proportion of
miles — 0.1 % — had microcystins concentrations exceeding the EPA recommended recreational swimming
advisory level (see Appendix A). Mercury, polychlorinated biphenyls (PCBs) and certain per- and polyfluoroalkyl
substances (PFAS) were present in fish tissue, with occurrence varying by contaminant. Mercury concentrations
in filiet composite samples were above the EPA fish tissue-based water quality criterion recommendation for
methylmercury in 24% (25,119 river miles) of the sampled population of river miles.2 For PCBs, 40% (24,583 river
miles) of the sampled population of river miles had fish fillet PCB concentrations above the EPA human health
fish tissue benchmark. Concentrations of perfluorooctane sulfonate (PFOS), one of the most dominant PFAS in
freshwater fish tissue, were above the EPA human health fish tissue benchmark in fish fillets in 3% (3,490 river
miles) of the sampled population of river miles.
NEXT STEPS	
Policy makers, resource managers and scientists can use the information from this survey to evaluate the overall
effectiveness of restoration and protection efforts that took place between 2008 and 2014, place site-specific data into
a broader context, and initiate additional exploration of certain patterns or changes.
NRSA results are available on an interactive web-based dashboard that presents findings for each indicator and
for several regions or subpopuiations at https://riverstreamassessment.epa.gov/dashboard. Dashboard users can
compare ecoregion results to national results for each indicator or look at data for all the indicators within specific
regions. Users may also download data files of the NRSA results used in creating each of the dashboard visualizations.
EPA has posted the NRSA data used to generate the results presented in the report and data dashboard at https://
www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys. For the fish fillet composite
data, the public may access the data at https://www.epa.gov/fish-tech/2013-2014-national-rivers-and-streams-
assessment-fish-tissue-study.To provide greater transparency and the ability for the public to review information,
EPA is working toward providing the five-year results of NARS online. In the future, EPA wili migrate from "traditional"
reports to providing data, summaries, and additional information online.

2 EPA analyzes fish tissue samples for total mercury (using EPA method 1631 Revision E) since the major pathway for human exposure to methylmercury is con-
sumption of contaminated fish and since practically all mercury in fish tissue is methylmercury. See USEPA (2001) and Bloom (1992).
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Introduction
This report presents the findings of the National Rivers and Streams Assessment (NRSA) 2013-2014, the second
in a series of statistical surveys of the quality of the nation's large and small perennially flowing waters (the
first was conducted in 2008 and 2009 (USEPA 2016b)). The report describes the results of the nationwide
statistical survey that was conducted in the summers of 2013 and 2014 by EPA and its state, tribal, and federal
partners. The report provides a snapshot of the quality of perennial rivers and streams across the contiguous U.S.
during the sampling period and may not reflect current water conditions. Clean Water Act (CWA) sections 104(a) and
(b) collectively grant the EPA Administrator authority to investigate and report on water quality across the country.
National Aquatic Resources Survey (NARS) data also inform and benefit the national water quality inventory report
that EPA prepares for Congress pursuant to CWA section 305(b)(2).
THE NATION'S RIVERS AND STREAMS	
Rivers and streams shape our landscape. They supply our drinking water, irrigate our crops, power our cities with
hydroelectricity, provide highways for shipping, offer us recreational opportunities, and support our industries.They
support fish and other aquatic life and provide shelter, food, and habitat for birds and wildlife. They are the land's vast
and interconnected circulatory system, carrying water, sediment, and organic material from the mountains to the sea.
Clean and healthy rivers and streams enhance the quality of our lives.
Over the centuries, many U.S. rivers and streams have been impacted or modified in ways that have altered their
natural flow. Additionally, our rivers and streams are subject to influences such as seasonal, annual, and climatological
variations in precipitation and temperature, as well as changing cycles of erosion and deposition (e.g., during flooding
or dam releases). To effectively restore and maintain these rivers and streams, we must improve the information we
have available to inform our decision-making.
THE NATIONAL AQUATIC RESOURCE SURVEYS
In the early 2000s, a number of organizations, including the U.S. Government Accountability Office, the National
Research Council, and the National Academy of Public Administration (USGAO 2000, NRC 2001, NAPA 2002)
commented that EPA and the states did not have a uniform, consistent approach to monitoring that supported
water quality decision-making nationally.They called for more consistent and cost-effective ways to understand the
magnitude and extent of water quality problems, the causes of these problems, and practical ways to address them.
in response, EPA and its partners completed sampling for the first statistical survey of the condition of the nation's
small, perennial streams — the Wadeable Streams Assessment: A Collaborative Survey of the Nation's Streams — in
2004. The survey was intended to establish a baseline of information on the condition of wadeable streams and
the extent of major environmental stressors that affect them. State environmental and natural resource agencies,
federal agencies, universities, and other organizations collected data from 1,392 perennial stream locations across the
conterminous U.S.These sites were chosen using a statistical design to ensure that results represented the condition
of ail U.S. wadeabie streams. Following the Wadeable Streams Assessment and building on this effort, EPA, states,
tribes, academics, and other federal agencies began collaborating on NARS, a series of statistically based surveys to
provide the public and decision-makers with environmental information.3
3The NARS program uses nationally consistent data collection and assessment protocols that in many cases differ from existing state water quality programs. In
addition, the NARS program does not assess water bodies against state water quality standards. As a result, state water quality assessment determinations may
reasonably differ from those of the NARS program.
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NARS are designed to answer long- and short-term questions about the quality of our waters:
•	What is the extent of waters that support healthy biological communities, recreation, and fish consumption?
•	How widespread are major stressors that affect water quality?
•	Are we investing wisely in water resource restoration and protection?
•	Are our waters getting cleaner?4
States and tribes conduct monitoring to support CWA programs and implement their water quality management
programs. CWA Section 305(b) directs states to report to EPA on the water quality of all navigable waters within their
borders with appropriate supplemental descriptions as shall be required to take into account seasonal, tidal, and other
variations correlated with the quality of the water. The methods states use to monitor and assess their waters vary
from state to state and within individual states over time.
This report is not intended to focus on water quality at individual sites; rather, it combines data across a random
sample of sites into regional and national indicators to provide unbiased estimates of the quality of the resource with
statistical confidence. The survey results can help set priorities for water resource protection and restoration.
The assessments focus on the 48 contiguous states.The NARS program also works with Alaska, Hawaii, and U.S.
territories to implement related statistical surveys, and some highlights of this work can be found at https://www.epa.
gov/national-aquatic-resource-surveys.
Surveys in the NARS series are the following:
•	The National Lakes Assessment (2007,2012 and 2017).
•	The National Rivers and Streams Assessment (2008-09, 2013-14 and 2018-19).
•	The National Coastal Condition Assessment (2010, 2015 and 2020).
•	The National Wetland Condition Assessment (2011 and 2016).
Reports on efforts from 2004 through 2012, including the data on which they are based, are available at https://www.
epa.gov/national-aquatic-resource-surveys. EPA will post additional reports and data online as they become available.
4Though the 2008-09 survey results were generated with the best available survey design and indicators at the time, EPA continued to make improvements in
both design and indicators and implemented improvements for 2013-14. Thus, the results shown in the 2008-09 report cannot be directly compared to the
results of this 2013-14 report. To accurately report differences between the two surveys, EPA reevaluated the data from the 2008-09 survey taking into account
these improvements. See Chapters 3 and 4 for more information.
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Design of the Survey
NRSA is a national assessment of the quality of perennial rivers and streams in the contiguous U.S., from the
smallest headwater streams to the largest rivers, including those that are tidally influenced until the point at
which they reach dilute seawater (i.e., 0.5 parts per thousand salinity). The results of NRSA are designed to be
representative of the target population of rivers and streams. Very slow-moving segments of rivers created by dams —
known as run-of-the-river reservoirs, ponds, and pools — were excluded from NRSA because they are more like lakes
than flowing waters.These systems are included in the National Lakes Assessment.
For NRSA, as with the other surveys that make up NARS, EPA scientists selected sampling locations using a statistical
survey design based on stratified random sampling. For more information on the survey design, see the NRSA
2013-14Technical Support Document (USEPA 2020a).The strata (i.e., divisions or groups) used in the NRSA design
included state, ecoregion, and river and stream size. The survey approach estimates the status of populations or
resources of interest using a representative sample of comparatively few members or sites. NRSA was designed to be
able to estimate the national quality of rivers and streams within a margin of error of ±5% with 95% confidence (i.e.,
a sufficient number of sites are sampled from the population that one can be 95% confident that the actual value for
the entire population is within 5% above or below the estimated value). The margin of error depends primarily on
the number of sites sampled; as more sites are sampled, the margin of error narrows, meaning there is more certainty
around the results. NRSA can also report at smaller scales (e.g., the ecoregions shown in Chapter 5), but within a wider
margin of error because there are fewer sites per region. The sample site selection process is described in more detail
in the NRSA 2013-14Technical Support Document (USEPA 2020a).
CHOOSING SAMPLING SITES	
There are three key steps in the process of choosing sites to be sampled:
1.	Identifying all potential sites in the target population. To identify the locations of U.S. perennial rivers and
streams, the NRSA design team used the EPA-U.S. Geological Survey National Hydrography Dataset Plus (NHD-
Plus), version 1 (https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus). NHD-Plus is a
comprehensive set of digital, spatial data on surface waters at the 1:100,000 scale; it shows topography, area, flow,
location, and other attributes.5
2.	Choosing potential sites to sample. Sampling sites were identified using a stratified random sampling design.
In such a design, every river and stream in the target population has a known probability of being selected for
sampling. This ensures that the results of the survey reflect the full range of character and variation present
in flowing waters across the U.S. (i.e., across all river and stream sizes). Site selection was controlled for spatial
distribution, to ensure that sample sites covered all areas of the country within the 48 contiguous states. The design
aiso included some sites from NRSA 2008-09 to improve the analysis of change over time.
3.	Confirming site validity and availability. After sites were selected for sampling, field crews conducted desktop
evaluations and field reconnaissance to determine if the sites were part of the target population. Rivers or streams
found to be intermittently flowing during the sampling season or determined to be inaccessible were dropped
from the sampling effort. Each such site was replaced with another from the list of replacement sites generated
as part of the survey design. For NRSA 2013-14, crews sampled 1,853 river and stream sites across the country,
representing approximately 1.2 million miles of flowing waters (site locations are shown in Figure 2.1).
^As EPA and the Department of the Army recognize in the Navigable Waters Protection Rule,"NHD at High Resolution ... may not accurately identify on the
ground flow conditions."85 FR 22294 (April 21,2020). NHD-Plus maps surface waters at a coarser resolution (1:100,000) compared to the scale of NHD at High Reso-
lution (1:24,000). EPA evaluated 4,566 sites as part of NRSA 2013-14. Of those, a total of 1,853 were sampled. Of the evaluated sites, 1,328 sites were target sites but
not sampled (landowner denial, otherwise inaccessible or other), and 1,385 sites were identified as non-target. Of the 1,385 non-target sites, 755 were identified as
non-perennial. See the NRSA 2013-14 Technical Support Document for more information.
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Figure 2.1 NRSA 2013-14 Sampled Sites
DETERMINING WHAT TO MEASURE	
NRSA 2013-14 used 13 indicators (listed in Figure 2.2) to assess the condition of U.S. rivers and streams. The results
for these indicators are discussed in Chapters 3 and 4. Chapter 3 presents physical, chemical, and biological indicators
to reflect the extent to which water quality supports the CWA Section 101 (a) goal of healthy biological communities.
Chapter 4 presents indicators related to human health that reflect the CWA Section 101 (a)(2) goal that water quality
support recreation. As part of the NRSA effort, EPA publishes a website that provides public access to supporting
documentation on the data collection, analysis, and interpretation protocols for the survey, as well as to the raw data
collected in a series of files for each indicator. See the NRSA field operations and laboratory operations manuals for
information on all samples and measurements from the survey (USEPA 2013, USEPA 2014), including basic analytes
and measurements used for QA/QC (e.g., cations/anions) or basic stream measurements (temperature) that support
data analysis but are not reported on as indicators.The data files include the following measurement results:
•	In-situ measurements of dissolved oxygen, pH, temperature, and conductivity.
•	Water chemistry: total phosphorus, total nitrogen, total ammonium, nitrate, basic anions, cations, total suspended
solids, turbidity, acid-neutralizing capacity (ANC, alkalinity), dissolved organic carbon, and total organic carbon.
•	Chlorophyll a (periphyton and water column samples).
® Benthic macro in vertebrates taxonomic identification.
•	Fish assemblage taxonomic identification.
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•	Per iphyton taxonomic identification and ash-free dry Figure 2.2 NRSA Indicators 	
mass.
•	Physical habitat: thalweg profile, large woody debris,	NRSA used 13 indicators to assess the quality
substrate size, channel dimensions, channel and riparian of rivers and streams. These parameters are
measurements, canopy cover measurements, in-stream grouped into four categories: biological,
fish cover, algae and aquatic macrophytes, channel chemical, physical and human health,
constraint, debris torrents, recent floods, discharge,
visual riparian measurements, and human influence
measurements.
•	Fecal indicator enterococcus.
•	Algal toxins (microcystins).
•	Fish tissue plug mercury concentrations.
•	Whole-fish composite fillet analysis: mercury,
polychlorinated biphenyls (PCBs), and per- and
polyfluoroalkyl substances (PFAS).
NRSA 2013-14 used two biological indicators: benthic
macroinvertebrates (bottom-dwelling insects and
other small animals such as snails and crayfish) and fish.
Evaluating the number and type of organisms at a site
provides a measurement of the biological integrity of
rivers and streams (defined as their ability to support and
maintain a balanced population of organisms comparable
to those of rivers and streams in natural condition). EPA and
its partners chose to use both benthic macroinvertebrates
and fish as indicators because they are each sensitive to
different disturbances that can result from human activities.
In addition to biological information, at each site lieid crews
measured chemical and physical indicators. Examples of
chemical indicators assessed as part of NRSA are nutrients
(nitrogen and phosphorus) and acidification. Physical
indicators include sedimentation and streamside trees and vegetation.
Appendix A provides general information about each of the NRSA indicators.
Biological
• Macroinvertebrates
Indicators
• Fish

• Phosphorus
Chemical
• Nitrogen
Indicators
• Salinity

• Acidification
Physical
Indicators
•	In-stream Fish Habitat
•	Riparian Disturbance
•	Riparian Vegetative Cover
•	Streambed Sediments

Human
Health
Indicators
•	Enterococci
•	Microcystins
•	Contaminants in Fish Tissue
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NRSA included indicators to evaluate the potential for concerns to human health from fish consumption and
recreational exposure. Specifically, field crews sampled contaminant levels in fish tissue (mercury, PCBs, and PFAS),
fecal indicator bacteria called enterococci, and cyanotoxins called microcystins.
NRSA included collection of some data for research purposes, such as periphyton (microscopic organisms such as
algae and bacteria). Results for research indicators are not included in this report.
Field protocols used in NRSA were designed to collect data relevant to the biological condition of stream resources
and the key stressors affecting them. A three- or four-person field crew — composed of state/tribal environmental
agency, EPA and contract staff— sampled each site under normal flow conditions during the summer of 2013 or 2014.
Crews laid out the stretch of river or stream to be sampled (the sample reach) and 11 transects to guide data collection
(see Figure 2.3, What Happens on a Field Day?). At each site, crews collected water and fish tissue samples to send to
laboratories for chemical analysis, collected macroinvertebrate samples to send to taxonomists for identification, and
identified fish species found at the site. Crews also recorded visual observations on field forms, including data on the
characteristics of each stream and its riparian area (the area on or adjacent to its banks). Data collected during a single
visit provide a representative snapshot of each site for the purposes of the survey. EPA trained and audited each crew
to ensure that standard protocols were followed, and 10% of the survey sites were revisited as part of the survey's
quality assurance project plan.5
6 For more infor mation on data collection and quality assurance in NRSA, see https://www.epa.gov/national-aquatic-resource-surveys/manuals-used-national-
aquatic-resource-surveys#National Rivers & Streams Assessment and USEPA (2020a).
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Figure 2.3 What Happens on a Field Day?
With site selection and evaluation complete, a field crew sets out for a day of sampling. A simplified description of the
sampling that happens on a field day is shown below.
Step 1: Pack
L LLLJL
LLLLL
LULL J.
L LLLL
i i 1 ii
LL
Lia
LL
LL
V i
L
L
L
i
1 1
First, the crew gathers all
necessary items such as
maps, equipment, and
supplies.
Step 2: Travel

Once preparations are made,
the field crew travels to the
site. Remote sites require
additional time and planning.

Step 3: Sample
r
The crew conducts sampling.
General details on how a site is
sampled can be found below.
Step 4: Report and Ship
¦=>
At the end of the field day, the
crew cleans all equipment used,
packages samples for shipment
to laboratories, and submits
field forms.
HOW IS SAMPLING CARRIED OUT?
After locating the "index site" with GPS, the crew establishes a sampling reach that is 40 times the river's width.
The crew then splits the reach into 11 transects (or cross-sections) labeled A to K. For boatable sites like the one
represented below, Transect A is upstream of Transect K; the reverse is true for wadeable sites.
Sampled Throughout the Reach (for Boatable Sites)
Macroinvertebrates. At each
transect, the bottom of the
stream is agitated, and the
crew collects organisms using
a net. The samples taken from
all transects are combined into
a collective sample and
analyzed. (Indicators
supported: Macroinvertebrates)
Transect
Fish are sampled throughout
the reach using methods like
electrofishing, which
temporarily stuns fish so they
can be caught. Crews identify
species and release most fish,
keeping some to assess tissue
contaminant levels.
(Indicators supported: Fish,
Contaminants in Fish Tissue)
upstream*







^ © © ©
Physical habitat
characteristics are observed
throughout the length of the
site. These include the amount
of woody debris present, the
amount of vegetation
overhanging the river, and
signs of human disturbance.
Crews record information on
field forms and upload to a
database. (Indicators
supported: In-stream Fish Habitat,
Riparian Disturbance, Riparian
Vegetative Cover, Streambed
Sediments)
©
© ©
Sampled at Transect A Only (for Boatable Sites)
Microcystes. Crews collect a water
sample to be analyzed for algal toxins
called microcystins.The sample is kept
cold and sent to a lab for testing.
(Indicators supported: Microcystins)
Water chemistry. Crews collect water in a
large container, keep it cold, and send it to a
lab for analysis of several important
parameters. (Indicators supported:
Acidification, Nitrogen, Phosphorus, Salinity)
Periphyton are microscopic
organisms—such as algae and
bacteria—that attach to rocks
and other submerged surfaces.
Crews collect small samples at
each transect by either scrubbing
(when hard surfaces are available)
or collecting a small amount of
sand or silt.These samples are
combined into one sample. At
the lab, analysts measure
chlorophyll a, biomass, and
taxonomic composition.
© ©
©
downstream*
©
Is sampling the same for both rivers and streams? Yes and no. Data for the same indicators
are collected at both rivers and streams, but some methods are different depending on
whether crews can sample by wading or have to use a boat for access.
At Transect K Only
Enterococci, bacteria found in fecal matter,
are sampled at the final transect to ensure
filtration and freezing within 6 hours of
collection, as required for lab analysis.
(Indicators supported: Enterococci)
To access the field manual, visit https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-streams-assessment-201314-field~operations-manual
*This diagram represents sampling for non-wadeable sites only. For wadeable streams sites, the labeling of transects is reversed.
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ANALYZING DATA
Setting the Benchmarks
Two types of assessment benchmarks — fixed and distribution-based — were used in NRSA depending on the
indicator. Fixed benchmarks are based on accepted values from peer-reviewed, scientific literature and are typically
well established and/or widely and consistently used by water quality agencies. For indicators related to human
health, EPA used numeric benchmarks it developed (see Chapter 4 for specifics). An example of this is the human
health fish tissue benchmark of 300 parts per billion (ppb) for mercury.
The second type of benchmark is based on the distribution of values for a particular indicator derived from least-
disturbed reference site data. For environmental indicators that vary naturally across the country (e.g., biological
community condition, physical habitat, and nutrient levels), EPA set regional benchmarks to reflect this variation,
using nine major ecological regions. These ecological regions separate the country into zones of similar topography,
climate and other ecological characteristics (see Chapter 5 for a description of the nine ecological regions). Data
within each ecological region were screened independently to identify a set of reference sites that represent the
least-disturbed conditions in that ecoregion. The conditions for the least-disturbed reference sites represent the best
range of conditions that can be achieved by similar streams within a particular ecological region. EPA's guidance notes
that in no instance should any notably degraded conditions be accepted as the reference for criteria development
(USEPA 1996). The screening factors used for the reference sites include chemical parameters like conductivity, a dam
influence index, and other landcover variables such as percent agriculture, population density, and road density, as
described in the NRSA 2013-14Technical Support Document (EPA 2020a).
The range of conditions found at reference sites for an ecoregion describes a distribution of values expected for least-
disturbed condition. For each indicator, benchmarks were chosen using defined percentiles from the range of values
(the distribution) across all of the reference sites in a region. Following established approaches, NRSA uses percentiles
of the reference distribution to establish benchmarks (Arizona 2012, Hughs 1995, USEPA Case Studies, USEPA 1996,
USEPA 2000b). Sites rate "good" when indicator scores are as good as the best 75% of the least-disturbed reference
distribution. Sites rate "poor" when they score worse than the worst 5% of the least-disturbed reference distribution.
This means that some river and stream miles in the poor category overlap with the conditions at 5% of the reference
sites that are used to define the least-disturbed reference conditions.These 5% are the lowest quality among the least-
disturbed reference sites."Fair"sites have indicator scores that fall in between the good and poor benchmark values.
As shown in Figure 2.4, this overlap means that there are some sites meeting the screening factors for"least-disturbed"
Figure 2.4 Illustrative Graphic of Percentiles Drawn from a Reference Distribution Curve for Good, Fair, and Poor Assessment	
25% of reference distribution
5% of reference distribution —
— Reference
V Distribution
Target	
Distribution
Low Indicator Score
(e.g., Biological Quality)
High Indicator Score
(e.g., Biological Quality)
Poor Fair Good
I	,	I
Key to Condition Categories
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yet categorized by the NRSA design as being poor or fair. Because expectations vary naturally across ecoregions, the
benchmarks reflect the least-disturbed conditions for each ecoregion.The ecoregional benchmarks used in NRSA
2013-14 are presented in Appendix B.
Using benchmarks from the two approaches, for each indicator, EPA categorized each river or stream site in the
full set of statistical survey sites as good, fair, or poor;"at or below benchmark" or "exceeds benchmark"; or another
category in some cases. In general, the ecosystem health indicators presented in Chapter 3 are reported as good, fair,
or poor, and the human health indicators presented in Chapter 4 are reported as at or below benchmark or exceeds
benchmark. More information on the benchmarks is available in Appendix A and B and in the NRSA 2013-14 Technical
Support Document (EPA 2020a). To report on the quality of all perennial rivers and streams, EPA then used a weighted
analysis of the randomly sampled sites (sites were weighted based on the extent of the river or stream miles they
represent). This produced estimates of the percentage of river and stream miles in each condition category for each
indicator, nationally and within each ecoregion, with 95% confidence.
The NRSA indicators are not replacements for the evaluation by states and tribes of the quality of rivers and streams
relative to their water quality standards. Interested readers can find more detailed information about determining
reference condition in the NRSA 2013-14Technical Support Document (EPA 2020a), published online at https://www.
epa.gov/national-aquatic-resource-surveys/nrsa.
ASSESSING THE RELATIONSHIP BETWEEN KEY STRESSORS AND BIOLOGICAL QUALITY
In addition to assessing rivers and streams for each of the individual indicators, NRSA analysts evaluated chemical and
physical indicators in relation to biological quality. Results of these analyses are presented in Chapter 3 following the
discussion of the individual indicators.
For NRSA, analysts applied three approaches to rank stressors as they applied to both biological indicators. The first
approach, relative extent, presents how many river and stream miles are characterized as poor for selected chemical
and physical measures, e.g., what percent of rivers and stream miles have phosphorus concentrations that fall within
the poor category. The second, relative risk, examines the severity of the impact from an individual stressor when it is
rated poor, e.g., how likely the biology is to be degraded when a stream's phosphorus levels are rated poor compared
to when phosphorus levels are rated good or fair. The third approach involves attributable risk, which is a value
derived by combining the first two risk values into a single number.
ANALYZING HUMAN HEALTH INDICATORS	
For the human health indicators (enterococci, microcystins, and contaminants in fish tissue), EPA used the relevant
water quality criteria recommendations and EPA human health fish tissue benchmarks. Enterococci samples measured
by quantitative polymerase chain reaction (qPCR) (a method that detects and quantifies DNA) were compared to
EPA's recreational water quality criteria recommendations for swimming. Microcystin samples were compared to EPA's
recreational water swimming advisory recommendations. For fish tissue mercury analysis, EPA compared tissue levels
to its recommended mercury fish tissue-based water quality criterion to protect human health. Fish fillet composite
samples were compared to EPA's human health fish tissue benchmarks for PCBs and perfluorooctane sulfonate
(PFOS) (the most commonly occurring PFAS).7 See Chapter 4, AppendixAand the NRSA 2013-14Technical Support
Document (USEPA 2020a) for more information on the benchmarks for these contaminants.
7 For the NRSA 2013-14 survey, a composite sample was formed by combining fillet tissue from up to five adult fish of the same species and similar size from the
same site. Use of composite sampling for screening studies is a cost-effective way to estimate average contaminant concentrations while also ensuring that there
is sufficient fish tissue to analyze for all contaminants of concern. (Average concentrations from composite samples may represent an over- or underestimation of a
contaminant as compared to the concentration in a single fish sample.)
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3
Quality of the
and Streams
This chapter discusses national findings for biological, chemical, and physical habitat indicators that, together,
address the quality of the nation's perennial rivers and streams. The sections below present background
information about each indicator and a summary of results from NRSA 2013-14. This chapter also includes
data on differences between 2008-09 and 2013-14. It is important to note that the NRSA 2013-14 results should
not be compared directly to the results presented in the 2008-09 report Though the 2008-09 survey results were
generated with the best available survey design and indicators at the time, EPA continued to make improvements
in both design and indicator analysis and implemented improvements for 2013-14.To accurately report differences
between the two surveys, EPA reevaluated the data from the 2008-09 survey taking into account these improvements.
This yielded updated results for 2008-09 that allow a comparison to the 2013-14 survey results and calculation of
differences in water quality between the two surveys. Please see Appendix C for a comparison of how the values
changed. Figure 3.1 describes how to interpret the graphics in this chapter presenting the key findings for NRSA water
quality indicators.
Figure 3.1 Interpreting NRSA Graphics (Using Fish Indicator As an Example)
This figure describes how to interpret the data graphics in this chapter, which provide detailed national
results on the quality of rivers and streams for each indicator and difference over time.
2013-14 Quality
The bars represent EPA's 2013-14
estimate for the proportion of rivers
and stream miles rated good, fair, or
poor - here, 26% plus or minus 3%
were rated good, —
Direction of Difference
The slope graphs show the difference from 2008-
09 to 2013-14, with the light gray line indicating
50%. Lines that appear nearly flat signal little
difference. Here, the gentle slope indicates a
difference of 8 percentage points (from 34% to
26%).	
Magnitude of Difference
The diamond shows the difference
estimate and the line conveys the range of
uncertainty. Below, the percentage of river
and stream miles in the good category
decreased by 8 percentage points, with a
confidence interval of-12 to -4.
Quality
% of Miles (2013-14)
Direction
Difference Betw. 08/09 & 13/14 (% Pts.)
Good*	
Fair
Poor*
Not Assessed
0% 20% 40% 60% 80% 100%
I	I	I	I	I
326%
08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
22%
3"37%
14%
Statistical Significance
Statistically significant difference
within a category is indicated by an
asterisk (*) and darker colors (e.g.,
red vs. pink) in the columns showing
difference data. The proportion of miles
rated good decreased from 2008-09 to
2013-14 at a 95% confidence limit.
Confidence Intervals
The darker line represents the
confidence interval, which is the margin
of error (here, plus or minus 3%) around
the point estimate. In this case, EPA is
95% certain that, in 2013-14, between
23% and 29% of all miles in the target
population were in the good category.
Good or Bad?
Falling to the left or right of the zero
line means something different for each
category. Above, the decrease in river
and stream miles designated as good is
undesirable, as is the increase in miles
rated poor.
Nation's Rivers
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BIOLOGICAL INDICATORS
Ecologists evaluate the biology of river and streams
by analyzing key characteristics of the communities of
organisms or taxa living in them. NRSA focuses on two
such communities: benthic macroinvertebrates and fish.
Scientists evaluated both groups for a robust understanding of biological quality, as each of these groups has unique
sensitivities to human disturbances.
Biological
• Macroinvertebrates
Indicators
• Fish
Macroinvertebrates
Benthic macroinvertebrates are small organisms, such as aquatic insects and snails, that live among the rocks and
bottom sediments of rivers and streams. They are widely used as biological indicators because they are broadly
distributed and often provide a source of food for fish and other aquatic animals. Benthic macroinvertebrates
are relatively immobile; because they do not readily escape pollution,
macroinvertebrate communities change in response to the cumulative effects
of the stressors to which they are exposed overtime.
EPA used a robust multimetric index (MMI), which aggregates the observed
values for a variety of individual metrics into a single score. During the 2008-09
analysis process, EPA ecologists developed MMIs for nine ecoregions using
metrics indicative of different aspects of macroinvertebrate community
structure: taxonomic richness, taxonomic composition, taxonomic diversity,
feeding groups, habits/habitats, and pollution tolerance (see text box Elements
of the Macroinvertebrate Multimetric Index).
Because it integrates a variety of informative macroinvertebrate metrics into
one index, a macroinvertebrate MMI provides a particularly strong indicator of
biological quality. This approach is widely used by state water quality agencies
and other organizations to assess and report on the quality of perennial rivers
and streams.The MMI scores are compared to benchmarks established using
least-disturbed reference sites. More information is available in the NRSA
2013-14Technical Support Document, including additional references.
Taxa (plural of taxon)
are groupings of living
organisms, such as phyla,
classes, orders, families,
genera, or species.
Biologists describe and
organize organisms into
taxa in order to better
identify and understand
them.
As shown in Figure 3.2, based on the macroinvertebrate MMI results, 30%
(365,850 miles) of the nation's river and stream miles were rated good, 26% (315,471 miles) were rated fair, and 44%
(526,576 miles) were rated poor for biological quality. The extent of river and stream miles rated good, fair, or poor for
macroinvertebrate communities was not statistically different between NRSA 2008-09 and NRSA 2013-14.
Figure 3.2 Macroinvertebrates: NRSA 2013-14 National Results-
Quality
% of Miles (2013-14)
Direction
Difference Betw. 08/09 & 13/14 (% Pts.;
0% 20% 40% 60% 80% 100%
I	I	I	|	|	I
08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
3 30%
26%
Good
Fair
Poor
Not Assessed*	<0.5%
'Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
3 44%
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Elements of the Macroinvertebrate Multimetric index
The macroinvertebrate multimetric index (MMI) is a total index score that is the sum of scores for a
variety of individual measures (also known as metrics). To determine the macroinvertebrate MMI,
ecoiogists selected six metrics indicative of different aspects of macroinvertebrate community structure:
•	Taxonomic richness — the number of distinct families or genera within different taxonomic groups
of organisms, within a sample, A sample with many different families or genera, particularly within
those groups that are sensitive to pollution, indicates least-disturbed physical habitat and water
quality and an environment that is not stressed.
•	Taxonomic composition — the proportional abundance of certain taxonomic groups within
a sample. Certain taxonomic groups are indicative of either highly disturbed or least-disturbed
conditions, so their proportions within a sample serve as good indicators of condition.
•	Taxonomic diversity — the distribution of the number of taxa and the number of organisms among
all the taxonomic groups. Healthy rivers and streams have many organisms from many different taxa;
unhealthy streams are often dominated by a high abundance of organisms in a small number of taxa.
•	Feeding groups — the distribution of macroinvertebrates by the strategies they use to capture
and process food from their aquatic environment (e.g., filtering, scraping, grazing or predation). As a
river or stream degrades from its natural condition, the distribution of animals among the different
feeding groups will change, reflecting changes in available food sources.
•	Habits/habitats — the distribution of macroinvertebrates by how they move and where they live. A
stream with a diversity of habitat types will support animals with diverse habits, such as burrowing
under streambed sediments, clinging to rocks, swimming and crawling. Unhealthy systems, such
as those laden with silt, will have fewer habitat types and macroinvertebrate taxa with less diverse
habits (e.g., will be dominated by burrowers).
•	Pollution tolerance — the distribution of macroinvertebrates by the specific range of contamination
they can tolerate. Highly sensitive taxa, or those with a low tolerance to pollution, are found only in
rivers and streams with good water quality. Waters with poor quality will support more pollution-
tolerant species.
The specific metrics chosen for each of these characteristics varied among the nine ecoregions used in
the analysis.
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Fish
Evaluating the variety and abundance offish species in rivers and streams is an important component of many water
monitoring programs. Fish are sensitive indicators of physical habitat degradation, environmental contamination,
migration barriers, and overall ecosystem productivity.They need plants, insects, and benthic macroinvertebrates
to eat; in-stream and streambank cover for shelter; high-quality streambed substrate conditions for spawning; and
overhanging vegetation to shade and cool the water in which they live.
During the 2013-14 analysis process, EPA biologists developed a new fish MMI using an approach similar to the one
used to develop the benthic macroinvertebrate MMI. The index is based on a variety of metrics, including taxonomic
richness, taxonomic composition, pollution tolerance, habitat and feeding groups, spawning habits, the number
and percent of taxa that are migratory, and the percent of taxa that are native. A fish MMI was developed for each
ecoregion to account for differences in natural fish community assemblages.
As shown in Figure 3.3, based on the NRSA fish MMI, 26% (319,899 miles) of river and stream miles were rated good,
22% (271,395 miles) were rated fair, 37% (445,622 miles) were rated poor, and 14% (173,310 miles) were not assessed.
An analysis of the difference between the adjusted 2008-09 results and 2013-14 results found the percentage of river
and stream miles rated good based on the fish MMI decreased by approximately 8 percentage points, while river and
stream miles rated poor increased by approximately 10 percentage points.
Figure 3.3 Fish: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100%	08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	i	i	i	i	i	i	i	i	i	i	i
Good*
Fair
Poor*
Not Assessed
'Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
CHEMICAL INDICATORS	
Four chemical indicators were assessed as part of NRSA: total phosphorus,
total nitrogen, salinity, and acidification.These four indicators were selected
because of national or regional interest in the extent to which they might
be affecting the quality of the biological communities in rivers and streams.
Additional water chemistry parameters that were collected during NRSA
2013-14 are described in the NRSA field and laboratory manuals.
Phosphorus
Phosphorus is an essential nutrient in the environment. In rivers and streams, it is found naturally. Excess phosphorus,
however, can adversely affect (or stress) water quality and biology. Agricultural and urban runoff, leaking septic
systems, sewage discharges, eroded stream banks, and similar sources can increase the flow of nutrients and organic
substances into rivers and streams.
Excess levels of phosphorus can lead to increased growth of algae and aquatic plants, which may reduce the aesthetic
enjoyment of our waters and interfere with swimming. When algae and plants decay, dissolved oxygen levels
decrease, causing additional stress to aquatic life. Excess phosphorus can also lead to cyanobacterial blooms that can
produce toxins harmful to human and animal health (see discussion of microcystins in Chapter 4).
	.
h






~
¦ 26c

-f	
22%



•—•




+
37%







3" 14%









• Phosphorus
Chemical
• Nitrogen
Indicators
• Salinity

• Acidification
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Natural variability in phosphorus concentrations is reflected in the regional benchmarks for good, fair, and poor, which
are based on least-disturbed reference sites for each of the nine NRSA ecoregions. Based on total phosphorus levels
measured for NRSA 2013-14, approximately 18% (212,086 miles) of river and stream miles were rated good, 24%
(291,385 miles) were rated fair, and 58% (706,754 miles) were rated poor (Figure 3.4). Comparison of results between
the 2008-09 and 2013-14 surveys showed a decline of 17 percentage points in the extent of river and stream miles
rated good and an increase of 11 percentage points in the miles rated poor for phosphorus.
Figure 3.4 Phosphorus: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
I	I	I	I	I	I	I	I	I	I	I	I	I	I	I
Good*
¦f 18%














Fair*
24°/











4—


Poor*
4
58%










4	




Not Assessed*
No Observed
Miles






i
\



*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
Nitrogen
Nitrogen is an essential nutrient that at high concentrations can stimulate excess growth of algae, large aquatic plants,
and cyanobacteria, which can result in algal blooms, low dissolved oxygen levels, and degraded conditions for benthic
macroinvertebrates and other aquatic life. Common sources of nitrogen include fertilizer, wastewater, animal wastes,
and atmospheric deposition.
Natural variability in nitrogen concentrations is reflected in the regional benchmarks for good, fair, and poor, which are
based on least-disturbed reference sites for each of the nine NRSA ecoregions. As shown in Figure 3.5, NRSA 2013-14
found that 32% (390,743 miles) of river and stream miles were rated good, 25% (296,687 miles) were rated fair, and
43% (522,796 miles) were rated poor for nitrogen compared to regional benchmarks. Between the 2008-09 and
2013-14 surveys, the percentage of river and stream miles rated good for nitrogen decreased by 6 percentage points.
Figure 3.5 Nitrogen: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	i	i	i	i	iii
Good*
-1	1	
	|	


	
	
	
	 i
I

i
+ 32%

—f-

Fair*
25%








—f—


Poor












3*43%

-~—
Not Assessed*
No Observec
Miles






<
•


*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
Salinity
Excess salts can be toxic to freshwater plants and animals, and they can make water unsafe for drinking, irrigation,
and watering livestock. Excess salinity can occur in areas where evaporation is high and water is repeatedly re-used
for irrigation or water withdrawals; where road de-icing compounds are applied; and where mining, oil drilling, and
wastewater discharges occur. Conductivity, a measure of water's ability to pass an electrical current, was used as a
measure of salinity for NRSA. Findings for salinity (Figure 3.6) show the majority of the nation's river and stream miles
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(86%) were classified as good (1,045,488 miles), 10% (117,561 miles) were rated fair, and 4% (45,514 miles) were rated
poor. Analysis showed no statistically significant difference in salinity categories for rivers and streams between NRSA
2008-09 and NRSA 2013-14.
Figure 3.6 Salinity: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
_i	i	i	|	i	i_	i	i	i	i	i	i	i	i	i
Good
+ 86%








Fair
10%








-f-



Poor
}4%





	







Not Assessed*
<0.5%





	



i
JL


*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
Acidification
A small proportion of rivers and
streams are naturally acidic, but there
are mechanisms by which human
activity contributes to acidification.
These include deposition of air
pollution from smokestacks and auto
emissions (acid rain), as well as the
leaching of sulfur compounds into
water as it flows through abandoned
mines (acid mine drainage). Such
acidification can harm aquatic animals
both directly (through acidity itself)
and indirectly (through reactions
facilitated by acidity). Some fish and
macroinvertebrates are acid-sensitive
and can only tolerate small changes in
acidity. Toxic metals such as aluminum
released from soils into the water by
acidification can also affect aquatic
life.To assess the extent to which
flowing waters are not acidic, are
What Is Acid-Neutralizing Capacity?
Acid-neutralizing capacity (ANC) is determined by the soil and
underlying geology of the surrounding watershed. Rivers and
streams with high levels of dissolved bicarbonate ions (e.g., in
limestone watersheds) are able to neutralize acid depositions and
buffer the effects of acid rain. Conversely, watersheds that are
rich in granites and sandstones contain fewer acid-neutralizing
ions and have low ANC; these systems have a predisposition to
acidification. Most aquatic organisms function at the optimal
pH range of 6.5 to 8.5. Sufficient ANC in surface waters will buffer
acid rain and prevent pH levels from straying outside this range.
In naturally acidic waters, the ANC may be quite low, but the
presence of natural organic compounds in the form of dissolved
organic carbon can mitigate the effects ofpH fluctuations.
Figure 3.7 Acidification: NRSA 2013-14 National Results-
Quality
% of Miles (2013-14)
Direction
Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100%
08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
None
	]
98%



i
qz



Natural Organic Acid*
<0.5%







<




Poor
(1%







HZ
~



Not Assessed
<0.5%








~z



*Reflects a statistically significant change between 2008-09 and 2013-14 (95% confidence).
National Rivers and Streams Assessment 2013-2014 I A Collaborative Survey

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naturally acidic, or are acidic due to anthropogenic sources, NRSA measured the water's ability to neutralize inputs
of acids, called acid-neutralizing capacity or ANC. Maintaining stable and sufficient ANC is important for aquatic life
because ANC protects or buffers against pH changes in the water body. Data were compared to nationally consistent
benchmarks derived during the National Acid Precipitation Assessment Program (Baker et al. 1990; Kaufmann et al.
1991). As shown in Figure 3.7, the great majority, 98% (1,191,242 miles), of the nation's river and stream miles were not
acidified (either had no acidification or were affected by acidity from natural sources), and 1 % were classified as poor
for acidification. Poor consists of three categories of acidification that were reported separately in the NRSA 2008-09
report: acid mine drainage, episodic acidification, and acid deposition.
PHYSICAL INDICATORS	
Among the many human activities that can stress the
physical condition of rivers and streams — and, by extension,
fish and other aquatic organisms — are construction, certain
agricultural practices, removal of vegetation buffering rivers
and streams, land development, and creation of impervious
surfaces (e.g., roads and parking lots). NRSA used four
indicators of physical habitat, described further below:
in-stream fish habitat, riparian disturbance, riparian vegetation, and excess streambed sediments. More information
about physical habitat protocols can be found in the NRSA 2013-14 field operations manual (USEPA 2013).
In-stream Fish Habitat
Healthy fish and macroinvertebrate communities are typically found in rivers and streams that have complex and
varied forms of habitat, such as rocks and boulders, undercut banks, overhanging vegetation, brush, and tree roots
and logs within the stream banks. NRSA used a habitat complexity measure that reflects the amount of such in-stream
fish habitat and concealment features within the water body and its banks.The in-stream fish habitat scores are
compared to benchmarks established using least-disturbed reference sites.
Figure 3.8 shows that 64% (778,585 miles) of river and stream miles were rated good, 20% (247,124 miles) were rated
fair, and 14% (175,315 miles) were rated poor in NRSA 2013-14 for in-stream fish habitat. More miles were rated poor
in the 2013-14 survey (an increase of 3 percentage points) compared to the 2008-09 survey.
Figure 3.8 In-stream Fish Habitat: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	i	i	i	i	i	i	i	i	i	i	i	i	i
Good
+ 64%




—~—



Fair
20%






~
	


Poor*
n-
4%



t y






Not Assessed*
1%




—t •



~


*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
Riparian Disturbance
The riparian area is the land along a river or stream. For this indicator, NRSA used a direct measure of riparian human
disturbance that tallies 11 specific types of human activities and their proximity to the water body in 22 riparian plots.
Examples of human disturbance in the riparian area include roads, pavement and cleared lots, buildings, pipes, parks
or maintained lawns, trash, pastures and rangeland, row crops, dams, and logging or mining operations. Activities
Physical
Indicators
In-stream Fish Habitat
Riparian Disturbance
Riparian Vegetative Cover
Streambed Sediments
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such as these can contribute to excess sedimentation, excess nutrient loading, alteration of native plant communities,
in-stream habitat degradation, and other disturbances.
A river or stream site was considered good if, on average, one type of human influence was observed in fewer than
one-third of the riparian plots, fair if on average one type of human influence was noted in at least one-third of the
riparian plots, and was considered poor if on average one or more types of disturbance were observed across all of the
plots. The closer these activities are to a river or stream, the more impact they are likely to have.
For this indicator, Figure 3.9 shows that 29% (350,385 miles) of river and stream miles were rated good for riparian
disturbance, 47% (568,482 miles) were classified as fair, and 23% (282,422 miles) were classified as poor using the
approach described above. There were fewer river and stream miles with levels of riparian disturbance categorized as
good in 2013-14 than in 2008-09; the decrease was 6 percentage points.
Figure 3.9 Riparian Disturbance: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	|	i	i	i_	i	i	i	i	i	i	i	i	i
Good*
+ 29%






	f




Fair
3* 47%










Poor
3*23%












Not Assessed*
1%




	




~


*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
Riparian Vegetative Cover
Healthy, multilayered vegetation in the riparian corridor can provide a buffer from the effects of human disturbance
in several ways: by slowing runoff; filtering nutrients and sediments; reducing streambank erosion; providing shade,
which keeps water cool and reduces algae growth; and supplying leaf litter, branches, and logs that serve as food,
shelter, and habitat for fish and other aquatic organisms. Analysts assessed riparian vegetative cover by summing the
amount of cover provided by three layers of vegetation: the ground layer, woody shrubs, and canopy trees. Results for
riparian vegetative cover were compared to benchmarks established using least-disturbed reference sites.
As Figure 3.10 shows, 58% (701,763 miles) of river and stream miles were rated good, 17% (210,949 miles) were rated
fair, and 24% (286,546 miles) were rated poor for riparian vegetative cover. Analysis showed no statistically significant
difference in riparian vegetative cover categories for rivers and streams between the NRSA 2008-09 and NRSA 2013-
14 surveys.
Figure 3.10 Riparian Vegetative Cover: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	i	i	|	i	i	i	i	i	i	i	i	i	i
Good
4
58%












Fair
17%








A





Poor
3-24°/c



•—•




—¥





Not Assessed*
1%









~




*Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
National Rivers and Streams Assessment 2013-2014 I A Collaborative Survey

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Excess Streambed Sediments
The size of particles that make up the riverbed and streambed is important for maintenance of stable and healthy
river and stream systems. Human activities that disturb land can interfere with river and stream sediment balance by
increasing the amount of fine sediment entering river and stream channels. Human activities can also lead to increases
in the magnitude or frequency of flooding. Typically, these hydrologic alterations increase the frequency of high-
magnitude floods. Channels can respond by down-cutting (incising), eroding their banks, washing away important
aquatic habitat (e.g., woody debris and other organic material), and depositing fine and less stable sediments (e.g., silt
or clay). For example, the presence of paved surfaces such as roads and parking lots in a watershed prevents rainwater
from soaking into the ground, and can increase the volume and velocity of water entering streams and the frequency
of high-magnitude floods. Excess fine sediments can fill in the spaces between cobbles and rocks where many benthic
macroinvertebrates live and breed.
NRSA scientists analyzed the extent to which excess fine sediments occurred in rivers and streams, focusing on
conditions indicating lower-than-expected streambed stability and higher excess sedimentation. Results were
compared to benchmarks established using least-disturbed reference sites. As shown in Figure 3.11, 52% (627,829
miles) of river and stream miles were rated good for streambed sediments, while 22% (269,326 miles) were rated fair,
22% (263,289 miles) were rated poor, and 4% (49,781 miles) were not assessed. Compared to NRSA 2008-09, there was
a decrease of 6 percentage points in the river and stream miles rated fair.
Figure 3.11 Excess Streambed Sediments: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
[:	[	J	t	1	l__	I 	I I i	I i I I
Good
+ 52%
•—•

4	



Fair*
22%

—4—

Poor
4122%


A


~
Not Assessed*
}4%


-f-
^Reflects a statistically significant change between 2008-09 and 2013-14(95% confidence).
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ASSOCIATIONS BETWEEN STRESSORS AND BIOLOGICAL QUALITY	
An important function of NRSA is to provide data to support the protection and restoration of rivers and streams,
including their ecological function. This includes estimating the benefits that might be derived if those stressors were
reduced.
For NRSA, analysts used three approaches to assess the influence of stressors on the ecological condition of the
nation's perennial rivers and streams: relative extent, relative risk, and attributable risk. Throughout this section,
stressors are assessed and reported on independently and as such do not sum to 100%. Many rivers and streams
are likely to experience multiple stressors simultaneously, which can result in cumulative or overlapping effects not
accounted for in this analysis. An overview of these concepts is provided here. Further details on their calculation can
be found in the NRSA 2013-14Technical Support Document (USEPA 2020a).
These risk analysis tools are intended to help guide management priorities, not to establish a direct cause and effect
connection. Figure 3.12 provides overall findings for estimated risk to benthic macroinvertebrates associated with
the stressors assessed in NRSA. Information on the risk to fish community structure is available through the NRSA
interactive dashboard (https://riverstreamassessment.epa.gov/dashboard).
Relative Extent: Water resource managers need to consider how	TokinCI AdiOtl
extensive a stressor is when setting priority actions at national,
regional, and state scales. Relative extent compares the percent of	Reducing nutrient and sediments can
waters rated poor for each individual stressor; this number comes	improve the health of our rivers and
from the results for chemical and physical indicators shown earlier
in this chapter. Most stressors can be found in all geographic areas,	streams. An estimated 25% of river
but those that are not pervasive do not have high relative extents.	and stream miles that are currently
The first panel of Figure 3.12 presents a summary of relative extent	gf biological quaHty could see
for the chemical and physical indicators. For NRSA 2013-14, the most	r s ' '
widespread stressors were phosphorus and nitrogen.	improvements if phosphorus levels
		r ,	were reduced, 23% could experience
Relative Risk: Relative risk is a way to examine the severity of the
impact of a stressor when it occurs. Relative risk is used frequently	improvements if nitrogen levels
in the human health field. For example, a person who smokes is	were reduced, and 16% could see
15 to 30 times more likely to get lung cancer or die of lung cancer	.	. ... , ..
I. , 9r.	4.U	improvements with reductions in
than a person who does not.8 Similarly, scientists can examine the	r
likelihood of finding poor biological conditions in a river or stream	sediments.
when phosphorus concentrations are higher, relative to the likelihood
when phosphorus concentrations are lower. When these two likelihoods are quantified, their ratio is called the relative
risk. A relative risk value of 1 means that poor biological conditions are just as likely when the stressor is rated poor as
when it is rated good or fair — in essence, no demonstrable effect. A relative risk of 2, however, means poor biological
conditions are twice as likely when a stressor is in poor condition. The middle panel of Figure 3.12 presents results of
the relative risk analysis for benthic macroinvertebrates. At the national level, acidification, salinity, excess sediments,
and nutrients were associated with poor biological condition based on the macroinvertebrate MMI, with relative
risk ranges from 1.6 to 2. When these stressors are present in stream miles rated poor, benthic macroinvertebrate
communities are more likely to be rated poor, too.
Attributable Risk: Attributable risk represents the magnitude or importance of a potential stressor and can be used
to help rank and set priorities for policymakers and managers. Attributable risk is derived by combining relative extent
and relative risk into a single number for ranking purposes. Conceptually, attributable risk provides an estimate of the
proportion of poor biological conditions that could be reduced if high levels of a particular stressor were reduced.
This number is presented in terms of the length in poor condition that could be improved — that is, moved from poor
into either good or fair condition categories. The calculation of attributable risk looks at one stressor at a time and
assumes that the stressor is the sole reason for the poor biology rating, the effects of the stressor can be reversed, and
the stressor's impact on condition is independent of that caused by other stressors. Despite the limitations of these
8 Centers for Disease Control and Prevention (CDC). What Are the Risk Factors for Lung Cancer? https://www.cdc.gov/cancer/lung/basic_info/risk_factors.htm
(accessed May 22,2018)
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assumptions, estimates of attributable risk provide insight as to what stressors are affecting biology and to what
degree, relative to the other stressors evaluated.
Attributable risk findings are presented in the right-hand panel of Figure 3.12. The stressors with the highest
attributable risk values are phosphorus, nitrogen, and suspended sediments. The attributable risk analysis suggests
that if high levels of phosphorus were reduced to levels representative of good or fair, macroinvertebrate quality
would improve in 25% of river and stream miles currently of poor biological quality. In comparison, acidification
has low attributable risk. Although its relative risk is the highest among the indicators evaluated, its relative extent
(percent of miles rated poor) is small. Thus, acidification poses risk to biological integrity in the small percentage of
waters rated poor for that stressor. Reducing acidification could improve the waters that are heavily impacted by this
stressor, but this is a small percentage of waters nationally.
Attributable risk is not intended as an absolute "prediction" of the improvement in flowing waters but rather an
estimate calculated in a consistent manner for all stressors so that they can be ranked relative to one another. Use
of the attributable risk information can help policymakers and resource managers prioritize actions and the use of
limited resources by stressor and geographic area (see the NRSA interactive dashboard for information on other
geographic regions).
These attributable risk estimates underscore the importance of efforts to reduce the impact of excess nutrients and
degraded habitat on the nation's rivers and streams. Further, although some stressors such as acidification might not
be widespread, localized management actions targeting these stressors could improve impacted local waters.
Figure 3.12 Relative Extent, Relative Risk, and Attributable Risk to Macroinvertebrates: NRSA 2013-14 National Results 	
Relative Extent
(% of Miles with Poor Quality)
Relative Risk
Attributable Risk
0% 20% 40% 60% 80%
—
Chemical Acidification
Nitrogen (Total)
Phosphorus (Total)
Salinity
Physical In-Stream Fish Habitat
Riparian Disturbance
Riparian Vegetative Cover
Streambed Sediments
3 A
~ -
14%
3 23%
3 24%
j 22%
Relative Extent
Relative extent is the
percentage of miles
affected by each stressor.
(This amount is equal to
the percentage rated poor.)
In 2013-14, EPA found
that 58% of all national
miles were designated as
poor for phosphorus. The
confidence interval for this
estimate was 55% to 62%.
0% 20% 40% 60%
I	I	I
•1%
3r1J
3-1
3-1
^1.4
^1.4
3-1
3-1
23%
- 25%
Increased risk
^3%
^6%
~^9%
12%
16%
At or below zero not shown
Relative Risk
Relative risk conveys the likelihood
of having poor biological quality
when a particular stressor is rated
poor. In 2013-14, EPA found
that, when phosphorus was
rated poor, macroinvertebrates
were 1.6 times more likely to be
rated poor compared to when
phosphorus was rated good or fair.
The confidence interval for this
estimate was 1.3 to 1.9.
Attributable Risk
Attributable risk represents the percentage
of miles rated poor for a biological indicator
that could be improved if a stressor
were removed. In 2013-14, EPA found
that the number of miles rated poor for
macroinvertebrates could be reduced by
approximately 25% if waters rated poor for
phosphorus were improved to fair or good.
The confidence interval associated with this
estimate was 15% to 34%.
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4
Human Health
nri addition to physical, chemical, and biological indicators of the quality of the nation's rivers and streams,
NRSA includes data collection for three human health indicators; the fecal contamination indicator
enterococci, cyanobacterial toxins called microcystins, and contaminants in fish tissue. In this chapter, the
results for these indicators are compared to EPA's recommended
criterion for methylmercury, EPA's recommended swimming advisory
levels for enterococci and microcystins, and human health fish tissue
benchmarks that EPA derived for reporting results for PCBs and PFOS.
This section also includes information on differences between 2008-09
and 2013-14 survey results, where applicable.
Enterococci
Enterococci are bacteria that live in the intestinal tracts of warm-blooded animals, including humans. While not
considered harmful to humans, their presence in the environment indicates that disease-causing agents such
as viruses, bacteria, and protozoa may be present. Enterococci are therefore used as indicators of possible fecal
contamination from sources such as wastewater treatment plant discharges; leaking septic systems; storm water
runoff; animal waste; and runoff from pastures, feedlots, and manure storage areas.
For NRSA, water samples were analyzed using qPCR. Results were compared to an EPA recommended water
quality criterion for protecting human health in ambient waters designated for swimming (1,280 calibrator cell
equivalents/100 mL) (USEPA 2012).9 Figure 4.1 shows that 69% (833,529 miles) of river and stream miles were at or
below the recommended enterococci human health criterion, 30% (361,716 miles) were above the criterion and 1%
were not assessed. The number of river and stream miles that exceeded the EPA recommended water quality criteria
for recreation increased by 8 percentage points compared to the 2008-09 survey. It is important to note that for this
indicator, the 2013-14 survey results show fewer river and stream miles in the "not assessed" category.
Figure 4.1 Enterococci: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
_i	|	i	|	|	|	|	|	|	|	|	|	|	i	i
At or Below Benchmark
+ 69%

	~-

Exceeds Benchmark*
3-30%



	~	
Not Assessed*
1%




Human
Health
Indicators
Enterococci
Microcystins
Contaminants in
Fish Tissue
*Reflects a statistically significant change between 2008-09 and 2013-14 (95% confidence).
Note: Benchmark for enterococci is the EPA recommended water quality criteria of 1,280 CCE/100 mL. At or Below Benchmark category includes results for which entero-
cocci were not detected.
'The enterococci recommended water quality criterion is based on a DNA analysis using qPCR (EPA method 1609.1), which determines the abundance of entero-
cocci DNA sequences relative to calibrator samples that contain a known quantity of enterococci.
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Microcystins
Microcystins are a group of naturally occurring toxins produced by various cyanobacteria (sometimes also called blue-
green algae, although they are not algae) that are common in surface waters. Under certain conditions, cyanobacteria
in nutrient-rich, slow-moving water can form blooms that float on the surface in unsightly, thick mats or color the
water green. Not all blooms are toxic, but at elevated levels, microcystins can be harmful to humans, pets, and wildlife,
causing skin rashes, eye irritation, respiratory ailments, gastroenteritis, and even liver and kidney failure. For NRSA
2013-14, EPA focused on concerns from microcystins associated with recreational contact.
NRSA scientists analyzed the extent of detections and concentrations of microcystins in the nation's perennial rivers
and streams. Figure 4.2 shows that microcystins were not detected in 63% (761,179 miles) of river and stream miles
and detected but at levels below EPA's recommended swimming advisory level (8 pg/L; EPA 2019a) in 37% (447,821
miles) of river and stream miles. Microcystins were not sampled as part of NRSA 2008-09, so a difference analysis could
not be conducted.
Figure 4.2 Microcystins: NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
i	i	|	i	|	i	i	i	|	i	i	i	|	|	|_
Not Detected
+63%

N/A


N/A. No data
for 2008-09.


At or Below Benchmark
+37%



N/A


N/A. No data
for 2008-09.


Exceeds Benchmark
<0.5%




N/A


N/A. No data
for 2008-09.


Not Assessed
No Observec
Miles

N/A


N/A. No data
for 2008-09.


Note: Benchmark for microcystins is the EPA recommended swimming advisory level of 8 lug/L.
Contaminants in Fish Tissue
Consuming fish can be an important part of a balanced diet. Fish provide protein, are low in saturated fat, are rich
in many micronutrients, and provide certain omega-3 fatty acids that the body cannot make and that are important
for growth and development in fetuses, infants, and children. However, due to natural processes and human activity,
contaminants enter the aquatic environment, where they can accumulate in fish and may reach levels of concern for
people who eat fish.
For this study, composite samples offish fillet tissue were analyzed for mercury, PCBs, and 13 PFAS. Additionally, fish
tissue plugs were analyzed for mercury only.
The potential human health effects that can be associated with high levels of mercury in fish include problems with
neurological development and an increased risk of cardiovascular disease (USEPA 2001). The range of potential health
effects from exposure to PCBs in fish includes liver disease, reproductive impacts, neurological effects in infants and
young children, and cancer. Studies indicate that low-level exposure to PCBs can increase the risk of cancer, while
higher-level exposure may increase the potential for additional health impacts (USEPA 1980, ATSDR and USEPA
1998). Studies indicate that PFOS, a PFAS chemical, can cause reproductive and developmental, liver and kidney, and
immunological effects in laboratory animals.The most consistent findings from human epidemiology studies are
increased cholesterol levels among exposed populations, with more limited findings related to infant birth weights,
effects on the immune system, and thyroid hormone disruption (USEPA 2016a).
EPA applied human health benchmarks to evaluate potential health concerns from human exposure to various
chemicals through fish consumption. Each chemical-specific benchmark represents the chemical concentration in fish
tissue that, if exceeded, may adversely impact human health. For mercury, this analysis used EPA's recommended fish
tissue-based water quality criterion for methylmercury.This is the same value EPA used in the NRSA 2008-09 report.
For PCBs and PFOS, EPA used fish tissue benchmarks it developed using the equations found in EPA's Guidance for
Assessing Chemical Contaminant Data for Use in Fish Advisories (USEPA 2000a). However, compared to the fish tissue
benchmarks used in the NRSA 2008-09 report, EPA updated the body weight and fish consumption rate used in the
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equations. Additionally, for PFOS, this analysis used EPA's reference dose (USEPA 2016a) to calculate the human health
fish tissue benchmark. In the NRSA 2008-09 report, EPA did not have an EPA reference dose available and used a fish
tissue benchmark developed by the state of Minnesota. The development of the human health fish tissue benchmarks
is described in more detail in the NRSA 2013-14Technical Support Document (USEPA 2020a).
Two sampling approaches were used to examine levels of contaminants in fish tissue. The first approach involved
collecting small tissue plugs from target fish species; these fish were then treated with antibiotic salve and released.
Crews attempted to collect fish tissue plugs at all river and stream sites, regardless of stream order, as long as target
fish of a minimum size suitable for human consumption were available for testing. Fish tissue plugs were only
analyzed for mercury.The results for mercury in fish tissue plugs (Figure 4.3) apply to the full NRSA target population
of rivers and streams (~1.2 million miles), the same population defined for the other indicators in this report (except
the fish fillet indicator as noted below). Consistent with the other indicators (except the fish fillet indicator), the
portion of the population that was unable to be assessed is shown in the results.
The second sampling approach, which was also used in NRSA 2008-09, involved collecting whole-fish samples for
laboratory preparation and analysis of fillet composite samples (composed of muscle tissue from both sides of each
fish in the composite sample that is ground before chemical analysis).10 Ideally, a whole-fish composite sample
consists of five adult fish of the same species (fish species typically sought for human consumption by recreational
anglers) whose lengths are within 75% of the length of the largest fish in the composite sample.The number offish in
a composite sample may vary depending on the number of suitable fish that can be collected from a particular river
site. Whole-fish composite samples were only collected from rivers defined as 5th order or greater for this study.
The target population for the fillet indicator consists of 129,445 river miles. A portion of this river target population could
not be assessed for a variety of reasons, including denial of access to sites on private lands, inability to obtain permits, lack
of suitable fish, and physical barriers (e.g., high bluffs). The amount of fillet tissue available from each composite sample
limited the number of samples that could be analyzed for each contaminant. These limitations affected the extent of rivers
represented in each set of results, which is referred to as the sampled population. The sampled population is the subset
of the target population for which fish fillet indicator samples were successfully collected and analyzed. The fish fillet
composite samples were analyzed for mercury, PCBs, and 13 PFAS. Figure 4.4 presents the fish fillet composite results for
mercury, PCBs, and PFOS (seethe NRSA 2013-14Technical Support Document (USEPA 2020a) for results related to all 13
PFAS chemicals analyzed) for the sampled population of river miles that applies for each contaminant.11
Mercury
Mercury enters the environment via both anthropogenic and natural sources. When released into the atmosphere,
it can be transported for long distances before it is deposited in water or on land; thus, it may occur even in
relatively undisturbed rivers and streams. Aquatic ecosystems are particularly sensitive and vulnerable to mercury
Figure 4.3 Mercury in Fish Tissue (Plugs): NRSA 2013-14 National Results	
Quality	% of Miles (2013-14)	Direction	Difference Betw. 08/09 & 13/14 (% Pts.)
0% 20% 40% 60% 80% 100% 08/09-13/14 -20% -15% -10% -5% 0% 5% 10% 15% 20%
j	|	|	|	i	i	|	i	i	|		|	|	i	i
At or Below Benchmark
+ 28%


N/A


N/A. No data
for 2008-09.


Exceeds Benchmark
37%



N/A


N/A. No data
for 2008-09.


Not Assessed
3" 65%

N/A


N/A. No data
for 2008-09.


Note: Benchmark for mercury is the EPA's recommended criterion for methyimercury of300 ppb.
10	For the NRSA 2013-14 survey, a composite sample was formed by combining fillet tissue from up to five adult fish of the same species and similar size from the
same site. Use of composite sampling for screening studies is a cost-effective way to estimate average contaminant concentrations while also ensuring that there
is sufficient fish tissue to analyze for all contaminants of concern. (Average concentrations from composite samples may represent an over- or underestimation of a
contaminant as compared to the concentration in a single fish sample.)
11	PFOS and perfluorooctanoic acid (PFOA) are the two PFAS chemicals for which EPA has developed chronic reference doses. Reference doses are needed to derive
a human health fish tissue benchmark. However, because PFOA was only detected in 4% offish fillet composite samples, the Agency did not develop a human
health fish tissue benchmark for PFOA for use in evaluating results for this report.
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Figure 4.4. Percentage of River Miles with Fillet
Composite Concentrations Above Human Health
Fish Tissue Benchmarks
Mercury Benchmark (300 ppb)
76%
24% (25,119 miles)
of the sampled
population of river
miles (105,989
miles) had fish
with mercury
concentrations
above 300 ppb.
PCB Cancer Effects Benchmark (18 ppb)
60%
40% (24,583 miles)
of the sampled
population of river
miles (61,305 miles)
had fish with PCB
concentrations
above 18 ppb.
PCB Noncancer Effects Benchmark (73 ppb)
<—17% (10,177 miles)
of the sampled
population of river
miles (61,305 miles)
had fish with PCB
concentrations
above 73 ppb.
PF0S Benchmark (68 ppb)
3%
97%
3% (3,490 miles)
k of the sampled
population
of river miles
(102,652 miles)
had fish with PFOS
concentrations
above 68 ppb.
Above human health benchmark
At or below human health benchmark
contamination. Once elemental mercury is deposited in water,
bacteria convert it into methylmercury, a toxic compound that
accumulates in fish, shellfish, and animals that eat fish. Nearly all fish
contain quantifiable levels of mercury, and the amount of mercury
measured in fish tissue usually increases with fish age and size.
It also varies among fish species — those that prey on other fish
typically accumulate higher concentrations of mercury than those
that eat insects or other aquatic organisms. Mercury can build up in
large predator fish to levels as much as 10 million times higher than
levels in water (i.e., through biomagnification), so fish consumption
can be a main source of human exposure to mercury (Fitzgerald et
al. 1998, Wiener et al. 2003). States and tribes issue consumption
advisories for specific fish species and water bodies when state or
local sampling results indicate elevated mercury concentrations.
More information on fishing advisories is available from local health
agencies and at https://www.epa.gov/fish-tech.
The mercury levels in fish tissue plugs and fillet composite samples
were compared to EPA's recommended fish tissue-based water
quality criterion for mercury of 0.3 milligrams of methylmercury per
kilogram of tissue (wet weight), or 300 ppb (USEPA 2001). This fish
tissue benchmark represents the concentration that, if exceeded,
can be harmful to human health.
For mercury in fish plugs, Figure 4.3 shows that fish in 7% (87,031
miles) of river and stream miles had concentrations above the 300
ppb mercury criterion recommendation, while 28% (334,271 miles)
did not. Additionally, 65% (788,924 miles) of river and stream miles
were not assessed for a variety of reasons, including the absence of
fish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site
access denial. [Note: As described earlier in this section, the target
population for the fish fillet composite is a subset of the target
population for the fish plug indicator.Therefore, the percentage
of miles that had exceedances above the mercury benchmark for
fish plugs is not directly comparable to the percentage for fish fillet
composite samples.] Fish plugs were not collected in 2008-09, so a
difference analysis could not be conducted.
Mercury was detected in 100% of the fish fillet composite samples
from the 353 river sites that were assessed for mercury. Mercury
concentrations in the fillet composite samples were above the
EPA recommended fish tissue-based water quality criterion for
methylmercury of 300 ppb in 24% of the sampled population of
105,989 river miles assessed for mercury (or 25,119 river miles had
mercury levels above the benchmark) (see Figure 4.4). Comparisons
of fillet composite results for mercury between NRSA 2008-09 and
NRSA 2013-14 did not reveal statistically significant differences.
PCBs
PCBs are industrial chemicals that were once used as coolants
in electrical insulators and as a component in the manufacture
of carbonless copy paper. EPA banned manufacture and phased
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out most uses of PCBs about 40 years ago, but they are still widely distributed and extremely persistent in the
environment. PCBs remain chemicals of concern due to their stability, potential for atmospheric transportation,
and tendency to attach onto organic particles that deposit in river and lake sediments. As with mercury, many PCBs
biomagnify in the food web. Levels in aquatic organisms can be as much as one million times greater than levels in
water (ATSDR 2000). In humans, some of the highest exposures to PCBs come from eating contaminated fish (ATSDR
2000). The potential adverse health effects from PCBs vary based on levels of exposure through consumption of PCB-
contaminated fish and are described eariier in this section.
All whole-fish samples collected from 223 river sites and the corresponding fillet composite samples analyzed for PCBs
during NRSA 2013-14 contained detectable levels of PCBs. PCB results were compared to EPA's human health fish
tissue benchmarks of 18 ppb for cancer effects and 73 ppb for noncancer effects (e.g., reproductive effects in women
and liver disease). Fish had fillet composite total PCB concentrations above the 18 ppb benchmark for cancer effects
in 40% (24,583 river miles) of the sampled population of river miles and above the 73 ppb benchmark for noncancer
effects in 17% (10,177 river miles) of this sampled population (see Figure 4.4). Estimates of PCB fish fillet results from
NRSA 2008-09 are not comparable to the results from NRSA 2013-14 due to differences in chemical methods used
during the two surveys (21 PCB congeners analyzed in 2008-09 and 209 congeners in 2013-14).
PFAS
PFAS are a very large group of synthetic chemicals that have been produced for decades to make products resistant
to heat, oil, stains, and water. PFAS are used in many industrial applications and are found in stain-resistant fabrics,
nonstick cookware, and some types of food packaging. Due to their widespread use and persistence in the
environment, most people in the U.S. have been exposed to PFAS.There is evidence that continued exposure above
specific levels to certain PFAS may lead to adverse health effects (USEPA 2019b).
This section presents the results for the most commonly detected PFAS in freshwater fish tissue, PFOS, which can
accumulate through the food web to levels of concern in fish. PFOS concentrations in fish fillets can be thousands
of times higher than PFOS levels in surface water (Sinclair et al. 2006). See the NRSA 2013-14 Technical Support
Document (USEPA 2020a) for summary statistics (e.g., detection frequency, detection limits, measured concentration
range, etc.) related to the 13 PFAS chemicals analyzed in fish tissue.
PFOS results were compared to a human health fish tissue
benchmark of 68 ppb that is based on toxicity information
presented in EPA's Health Effects Support Document for PFOS
and a fish consumption rate of 22 grams per day (USEPA
2000a, 2016a).12 PFOS and perfiuorooctanoic acid (PFOA)
are the two PFAS chemicals for which EPA has developed
chronic reference doses. Reference doses are needed to
derive a human health fish tissue benchmark. However,
because PFOA was only detected in 4% offish fillet
composite samples, the Agency did not develop a human
health fish tissue benchmark for PFOA for use in evaluating
results for this report. Fish had fillet composite PFOS
concentrations above the 68 ppb human health benchmark
for PFOS in 3% (3,490 river miles) of the sampled population
of 102,652 river miles assessed for PFAS (see Figure 4.4).
Fish fillet composite samples from 99% of the 349 river
sites assessed for PFAS during NRSA 2013-14 contained
detectable levels of PFOS. Comparisons of fillet composite
results for PFOS between NRSA 2008-09 and NRSA 2013-
14, which involved urban river sampling locations only, did
not reveal statistically significant differences.13
'•Human health fish tissue benchmarks are used in the fish consumption advisory program, while health advisories are used in the drinking water program.
Bln the NRSA 2008—09 study, fish tissue fillet composite sampling was limited to urban water sites only. Therefore, difference estimates are calculated by com-
paring the NRSA 2008-09 urban river sites to NRSA 2013-14 urban river sites.
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Comparing Results Across
Ecoregions
he design of NRSA allows one to examine indicators across ecological regions (ecoregions) as well as across
the nation. This chapter presents information and graphics that can be used to answer questions about rivers
and streams at the ecoregional scale.
Ecoregions are geographic areas that display similar environmental characteristics, such as climate, vegetation, type
of soil, and geology. EPA has defined ecoregions at various scales, from a continental scale (Level 1) to fine scales that
divide the land into smaller ecosystem units (Levels III or IV). This chapter will focus on NRSA results for the nine U.S.
Level III ecoregions aggregated for use in NARS.These nine ecoregions, shown in Figure 5.1, are:
•	Northern Appalachians
•	Southern Appalachians
•	Coastal Plains
•	Upper Midwest
•	Temperate Plains
•	Southern Plains
•	Northern Plains
•	Western Mountains
•	Xeric
Figure 5.1. NARS Aggregated Ecoregions-
Northern Plains
Upper Midwest
Temperate Plains
Southern Plains
Southern
Appalachians
m
Coastal Plains
1
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Ecoregions are used to conduct environmental assessments, to set water quality and biological criteria, and to
set management goals for pollution control. It is important to assess water bodies in their own ecological setting.
For example, the rivers in the mountainous, cold-to-temperate Northern Appalachians will have many similar
characteristics; they run through steep, rocky channels over glacial sediments and are influenced by annual
precipitation totals of 35 to 60 inches. These rivers will differ significantly from those in the dry plains, tablelands,
and low mountains of the Xeric ecoregion, which drain erodible sedimentary rock and are subject to flash floods in a
climate where precipitation ranges from 2 to 40 inches and average temperatures are much higher.
The following sections describe each ecoregion in more detail, providing background information and describing
NRSA 2013-14 results for the length of rivers and streams throughout the ecoregion. (See Ch. 2 to review the
methodology for developing ecoregion-specific benchmarks using the distribution of values from least-disturbed
reference sites. See Chs. 3 and 4 for more on fixed benchmarks used for riparian disturbance and for human health
indicators.) These results should not be extrapolated to an individual state or water body within the ecoregion
because the study was not designed to characterize quality at these finer scales.
NORTHERN APPALACHIANS	
Setting
The Northern Appalachians ecoregion covers all of the New England states, most of New York, the northern half
of Pennsylvania, and northeastern Ohio. The ecoregion covers some 139,424 square miles of land (4.6% of the
conterminous U.S.), with about 4,722 square miles of land under federal ownership. Included in the ecoregion are New
York's Adirondack and Catskili Mountains and Pennsylvania's Allegheny National Forest. Major river systems include
the St. Lawrence, Allegheny, Penobscot, Connecticut, and Hudson. The total river and stream length represented in
NRSA 2013-14 for the Northern Appalachians ecoregion is 138,082 miles.
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Forests in this ecoregion were extensively cleared in the 18th and 19th centuries. Current fish stocks are lower than at
the time of European contact, but the coastal rivers of the Northern Appalachians ecoregion still have a wide variety
offish — including shad, alewife, salmon, and sturgeon — that are hatched in fresh water, move to the sea for most of
their lives, and then return to fresh water to spawn. Major manufacturing and chemical, steel, and power production
occur in the large metropolitan areas around New York City, Connecticut, and Massachusetts. It is common for treated
wastewater effluent to account for much of the stream flow downstream from major urban areas.
This ecoregion is generally hilly, with some intermixed plains and mountain ranges. River channels in the glaciated
uplands of the northern parts of the ecoregion are steep and rocky, and they flow over glacial sediments. The climate
is cold to temperate, with mean annual temperatures ranging from 39°F to 48°F. Annual precipitation totals range
from 35 to 60 inches.
Results Summary
A total of 252 NRSA sites were sampled to characterize the quality of rivers and streams in the Northern Appalachians
ecoregion. Figure 5.2 shows an overview of the findings.
Biological Indicators
The macroinvertebrate MMI showed that 40% of the river and stream length in the Northern Appalachians ecoregion
was of good quality (based on the least-disturbed reference distribution). The fish MMI showed that 43% of river and
stream length in this ecoregion was of good quality. Five percent of river and stream length was not assessed or, for
various reasons, had insufficient data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Northern
Appalachians ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with
good quality, 18% and 36% respectively, compared to physical habitat measures such as in-stream fish habitat, excess
streambed sediments, and riparian vegetation cover, which had 52%, 56%, and 49%, respectively.
Figure 5.2. Ecoregional Results for the Northern Appalachians
Chemistry
Total Phosphorus
18%
27%
Total Nitrogen
Physical Habitat
Human Health
In-Stream Fish Habitat
52%
55%
26%
22%
138,082 miles of rivers and streams
20%
Riparian Disturbance
39%
46%
Biology
44%
Macroinvertebrates
40%
Salinity
86%
¦ 15%
Riparian Vegetative Cover
^— 49%
23%
0%
Fish
¦ 37%
43%
12%
]¦ 2%
Acidification
23%
28%
100%
Excess Streambed Sediments
^— 56%
11%
5%
42%
25 50 75
Percent of Length
25 50 75
Percent of Length
Natural Organic Acid
100 0
0%
26%
¦ 18%
25 50 75
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat) ~
Good
Fair
~
Poor
Not Assessed
Enterococci
77%
23%
<0%
Microcystins
3 99%
¦ 1%
Mercury in Fish Tissue
^— 37%
3*7%
56%
25 50 75
Percent of Length
Legend (Human Health)
~	At or Below Benchmark
~	Exceeds Benchmark
~	Not Assessed
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Human Health indicators
Human health indicators measured within the Northern Appalachians showed that most of the river and stream
miles were below levels of concern, Enterococci were at or below the national benchmark for 77% of river and stream
length. Microcystes were at or below the national benchmark for 99% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 37% of river and stream length, with 56% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
SOUTHERN APPALACHIANS
Setting
The Southern Appalachians ecoregion stretches over ten states, from northeastern Alabama to central Pennsylvania,
and includes the interior highlands of the Ozark Plateau and the Ouachita Mountains in Arkansas, Missouri, and
Oklahoma. The topography of this ecoregion is mostly hills and low mountains, with some wide valleys and irregular
plains. Its land area covers about 321,900 square miles (11% of the conterminous U.S.), with about 42,210 square
miles in federal ownership. Many significant public lands, including Great Smoky Mountains National Park, George
Washington and Monongahela National Forests, and Shenandoah National Park, are located within this ecoregion.
The Southern Appalachians ecoregion has some of the greatest aquatic animal diversity of any area of North America,
especially for species of amphibians, fishes, mollusks, aquatic insects, and crayfishes. Some areas, such as Great Smoky
Mountains National Park, continue to protect exceptional stands of old-growth forest riparian systems. Nevertheless,
the effects of habitat fragmentation, urbanization, agriculture, channelization, diversion, mining, and impoundments
have altered many rivers and streams in this ecoregion.
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Rivers in this ecoregion flow mostly over bedrock and other resistant rock types, with steep channels and short meander
lengths. A number of major rivers originate here, including the Susquehanna, James, and Potomac, along with feeders
into the Ohio and Mississippi River systems, such as the Greenbrier River in West Virginia. The total river and stream
length represented in NRSA 2013-14 for the Southern Appalachians ecoregion is 289,341 miles. It is considered
temperate wet, with annual precipitation of 40 to 80 inches and mean annual temperature ranging from 55°F to 65°F.
Results Summary
A total of 251 NRSA sites were sampled to characterize the quality of rivers and streams in the Southern Appalachians
ecoregion. An overview of the findings is shown in Figure 5.3.
Biological Indicators
The macroinvertebrate MMI showed that 23% of the river and stream length in the Southern Appalachians ecoregion
was of good quality (based on the least-disturbed reference distribution). The fish MMI showed that 23% of river and
stream length was of good quality. Sixteen percent of river and stream length was not assessed or, for various reasons,
had insufficient data to calculate the fish MMI.
Chemical and Physical Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Southern
Appalachians ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with
good quality, 6% and 24% respectively, compared to physical habitat measures such as riparian vegetation cover, in-
stream fish habitat, and excess streambed sediments, which had 55%, 64%, and 54%, respectively.
Figure 5.3. Ecoregional Results for the Southern Appalachians
Biology
Macroinvertebrates
¦ 23%
29%
47%
Fish
25 50 75
Percent of Length
100
Chemistry
Physical Habitat
Human Health
Total Phosphorus
3*6%
13%
In-Stream Fish Habitat
64%
289,341 miles of rivers and streams
Total Nitrogen
24%
32%
80%
45%
22%
14%
0%
Riparian Disturbance
¦ 26%
44%
¦ 30%
Salinity
85%
0%
Riparian Vegetative Cover
¦ 55%
10%
^-5%
Acidification
23%
¦ 22%
0%
|- 96%
Excess Streambed Sediments
¦ 54%
4%
15%
2%
28%
25 50 75
Percent of Length
100 0
25 50 75
Percent of Length
100
Legend (Biology, Chemistry, and Physical Habitat) ~
Good
Fair
~
Poor
Not Assessed
Enterococci
62%
37%
0%
Microcystins
Mercury
H
' in Fish Tissue
- 24%
3*6%
-H



100%
71%
0 25 50 75 100
Percent of Length
Legend (Human Health)
~	At or Below Benchmark
~	Exceeds Benchmark
~	Not Assessed
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Human Health indicators
Human health indicators measured within the Southern Appalachians showed that most of the river and stream
miles were below levels of concern. Enterococci were at or below the national benchmark for 62% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 24% of river and stream length, with 71% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
COASTAL PLAINS
Setting
The Coastal Plains ecoregion covers all of Florida, eastern Texas, and the Atlantic seaboard from Florida to New Jersey.
It includes the Mississippi Delta and Gulf Coast, and it extends north along the Mississippi River to the Mississippi's
confluence with the Ohio River. The total land area of this ecoregion is about 395,000 square miles, or 13% of the
conterminous U.S. Of this area, 25,890 square miles, or 7%, is in federal ownership. River systems within or intersecting
the Coastal Plains ecoregion include the Mississippi, Suwannee, Savannah, Potomac, Delaware, Susquehanna, James,
Sabine, Brazos, and Guadalupe.
River habitats in the Coastal Plains ecoregion have high species richness and the greatest number of endemic species
of aquatic organisms in North America. These organisms include fish, aquatic insects, and mollusks, as well as unique
species such as paddlefish, American alligators, and giant aquatic salamanders. It is estimated that about 18% of the
aquatic species in this ecoregion are threatened or endangered. Historically, this ecoregion had extensive bottomlands
that flooded for several months each year; these areas are now widely channelized and confined by levees. Acid mine
drainage, urban runoff, air pollution, sedimentation, and the introduction of invasive (i.e., non-native) species have
affected riparian habitats and native aquatic fauna.
In general, rivers in the Coastal Plains meander broadly across flat plains created by river deposition and form complex
wetland topographies, with natural levees, back swamps, and oxbow lakes. Typically, they drain densely vegetated
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watersheds; well-developed soils and moderate rains and subsurface flows keep suspended sediment levels in the
rivers relatively low. An exception is the Mississippi River, which carries large sediment loads from dry lands in the
central and western portion of its drainage area. The total river and stream length represented in NRSA 2013-14 for
the Coastal Plains ecoregion is 198,824 miles.
The topography of this ecoregion is mostly flat plains, barrier islands, many wetlands and about 50 important
estuary systems that lie along its coastal margins. The climate is temperate wet to subtropical, with average annual
temperatures ranging from 50°F to SOT and annual precipitation ranging from 30 to 79 inches.
Results Summary
A total of 218 NRSA sites were sampled to characterize the quality of rivers and streams in the Coastal Plains
ecoregion. An overview of the findings is shown in Figure 5.4.
Biological Indicators
The macroinvertebrate MM I showed that 14% of river and stream length in the Coastal Plains ecoregion was of good
quality (based on the least-disturbed reference distribution). The fish MMI showed that 16% of river and stream length
was of good quality. Six percent of river and stream length was not assessed or, for various reasons, had insufficient
data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Coastal
Plains ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with good
quality, 21% and 33%, respectively compared to physical habitat measures such as riparian vegetation cover, in-
stream fish habitat, and excess streambed sediments, which had 55%, 57%, and 53%, respectively.
Figure 5.4. Ecoregional Results for the Coastal Plains
Total Phosphorus
21%
31%
Chemistry
Physical Habitat
Human Health
48%
198,824 miles of rivers and streams
Total Nitrogen
f — 33%
25%
Biology
41%
Macroin vertebrates
Salinity

4%

^2%

Acidification


25 50 75
Percent of Length
25 50 75
Percent of Length
*Natural Organic Acid
100
In-Stream Fish Habitat
¦ 57%
24%
¦ 18%
Riparian Disturbance
^— 36%
42%
22%
[ 1%
Riparian Vegetative Cover
—!	55%
15%
¦ 29%
1%
98%
Excess Streambed Sediments
	53%
18%
14%
- 15%
25 50 75
Percent of Length
100
Legend (Biology, Chemistry, and Physical Habitat) ~ Good Fair ~ Poor
Not Assessed
Enterococci
^	59%
¦ 39%
] 2%
Microcystins
Mercury in Fish Tissue
¦ 19%
]ioo%
64%
25 50 75 100
Percent of Length
Legend (Human Health)
~	At or Below Benchmark
~	Exceeds Benchmark
Not Assessed
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Human Health indicators
Human health indicators measured within the Coastal Plains ecoregion showed that most of the river and stream
miles were below levels of concern. Enterococci were at or below the national benchmark for 59% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 17% of river and stream length, with 64% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
UPPER MIDWEST	
Setting
The Upper Midwest ecoregion covers most of Minnesota's northern half and southeastern area, two-thirds of
Wisconsin and almost all of Michigan, an area of 160,374 square miles, or 5% of the conterminous U.S. National and
state forests and federal lands account for approximately 25,000 square miles, or 16%, of the ecoregion. The river
systems in this ecoregion empty into portions of the Great Lakes regional watershed and the upper Mississippi
River watershed. Major river systems include the upper Mississippi River in Minnesota and Wisconsin; the Wisconsin,
Chippewa, and St. Croix rivers in Wisconsin; and the Menominee and Escanaba rivers in Michigan. Other important
water bodies include Lakes Superior, Michigan, Huron, and Erie.
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Virtually all of the virgin forest in this ecoregion was cleared in the 19th and early 20th centuries, and rivers and
streams were greatly affected by logging. The Great Lakes aquatic systems are subject to increasing impact from
invasive animal and plant species, including the zebra mussel, round goby, river ruffe, spiny water flea, and Eurasian
watermilfoil. Major manufacturing and chemical, steel, and power production occur in the large metropolitan areas of
the Upper Midwest ecoregion.
Streams in the Upper Midwest ecoregion typically drain relatively small catchments and empty directly into the Great
Lakes or upper Mississippi River.These streams generally have steep gradients, but the region's topography and soils
tend to slow runoff and sustain flow throughout the year. The total river and stream length represented in NRSA
2013-14 forthe Upper Midwest ecoregion is 101,648 miles.
The glaciated terrain of this ecoregion typically consists of plains with some hills. Lakes, rivers, and wetlands
predominate in most areas.The climate is characterized by cold winters and relatively short summers, with mean
annual temperatures ranging from 34°F to 54°F and annual precipitation ranging from 20 to 47 inches.
Results Summary
A total of 159 NRSA sites were sampled to characterize the quality of rivers and streams in the Upper Midwest
ecoregion. An overview of the findings is shown in Figure 5.5.
Biological Indicators
The macroinvertebrate MMI showed that 39% of river and stream length in the Upper Midwest ecoregion was of good
quality (based on the least-disturbed reference distribution). The fish MMI showed that 38% of river and stream length
was of good quality. Eleven percent of river and stream length was not assessed or, for various reasons, had insufficient
data to calculate the fish MMI.
Figure 5.5. Ecoregional Results for the Upper Midwest
Chemistry
Total Phosphorus
H— 25%
18%
¦ 56%
Total Nitrogen
21%
101,648 miles of rivers and streams
31%
Biology
48%
Macroinvertebrates
39%
Salinity
72%
31%
30%
27%
0%
Fish
}¦ 2%
Acidification
Physical Habitat
Human Health
In-Stream Fish Habitat
4%
4%
4%
Riparian Disturbance
¦ 49%
87%
Enterococci
73%
26%
f 1%
Microcystins
36%
_ ¦ 12%
4%
Riparian Vegetative Cover
H— 62%
14%
20%
Mercury in Fish Tissue
¦ 37%
1100%
3-8%
38%
3" 96%
4%
Excess Streambed Sediments
^	57%
55%
20%



29%
Percent of Length
—1—31%


3~8%


11%
] ¦ 4%

6%

Legend (Human Health)
j At or Below Benchmark
Exceeds Benchmark
0 25 50 75 100
Percent of Length
25 50 75 100
Percent of Length

25 50 75 100
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat) Good
Fair | | Poor
Not Assessed
Not Assessed
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Chemical arid Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Upper
Midwest ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with
good quality, 25% and 21% respectively, compared to physical habitat measures such as in-stream fish habitat, excess
streambed sediments, and riparian vegetation cover, which had 87%, 57%, and 62%, respectively.
Human Health Indicators
Human health indicators measured within the Upper Midwest ecoregion showed that most of the river and stream
miles were below levels of concern, Enterococci were at or below the national benchmark for 73% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 37% of river and stream length, with 55% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
TEMPERATE PLAINS	
Setting
The Temperate Plains ecoregion includes Iowa; the eastern Dakotas; western Minnesota; portions of Missouri, Kansas,
and Nebraska; and the flatlands of western Ohio, central Indiana, Illinois, and southeastern Wisconsin. This ecoregion
covers about 342,200 square miles, or 11%, of the conterminous U.S., with approximately 7,900 square miles under
federal ownership. Many of the rivers in this ecoregion drain into the upper Mississippi River, Ohio River, and Great
Lakes watersheds.
Much of this ecoregion is now primarily agricultural land, including land used for field crop production (e.g., corn,
wheat, and alfalfa) and hog and cattle production. Crops and grazing have reduced natural riparian vegetative cover,
increased sediment yield, and introduced pesticides and herbicides. Rivers have many species offish, including
minnows, darters, killifishes, catfishes, suckers, sunfishes, and black bass.
Rivers and streams in the tallgrass prairie start from prairie potholes and springs, and they may be ephemeral (flowing
for a short time only after snowmelt or rainfall). Rivers carry large volumes of fine sediments and tend to be turbid,
wide, and shallow. The total river and stream length represented in NRSA 2013-14 for the Temperate Plains ecoregion
is 185,850 miles.
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The terrain of this ecoregion consists of smooth plains and many small lakes and wetlands. The climate is temperate,
with cold winters, hot and humid summers, and mean temperatures ranging from 36°F to 55°F. Annual precipitation
ranges from 16 to 43 inches.
Results Summary
A total of 219 NRSA sites were sampled to characterize the quality of rivers and streams in the Temperate Plains
ecoregion. An overview of the findings is shown in Figure 5.6.
Biological Indicators
The macroinvertebrate MMI showed that 24% of river and stream length in the Temperate Plains ecoregion was of
good quality (based on the least-disturbed reference distribution).The fish MMI showed that 28% of river and stream
length was of good quality. Six percent of river and stream length was not assessed or, for various reasons, had
insufficient data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Temperate
Plains ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with good
quality, 23% and 19% respectively, compared to physical habitat measures such as in-stream fish habitat, riparian
vegetation cover, and excess streambed sediments, which had 71%, 61%, and 33%, respectively.
Human Health Indicators
Human health indicators measured within theTemperate Plains ecoregion showed that most of the river and stream
miles were below levels of concern. Enterococci were at or below the national benchmark for 59% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 38% of river and stream length, with 58% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
Figure 5.6. Ecoregional Results for the Temperate Plains	
Chemistry
Physical Habitat
Human Health
Total Phosphorus
23%
24%
53%
185,850 miles of rivers and streams
Biology
Macroinvertebrates
24%
30%
Total Nitrogen

-|-
19%

1
5%

-4
Salinity


In-Stream Fish Habitat
23%
3*6%
0%
Riparian Disturbance
9%
Enterococci
¦71%
59%
2%
Microcystins
38%
100%
64%
66%
¦ 27%
3" 90%
0%
Riparian Vegetative Cover
¦61%
Mercury in Fish Tissue
¦38%
"+
- 46%
Fish
H
— 28%


31%
-|— 34%
3*6%

7%
]-3%
Acidification
10%
J 4%
29%
58%
0%
100%
0%
Excess Streambed Sediments
¦	33%
34%
¦	33%
25 50 75
Percent of Length
25 50 75
Percent of Length
25 50 75
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat)
Good
Fair
~
Poor
Not Assessed
25 50 75
Percent of Length
Legend (Human Health)
^ At or Below Benchmark
Exceeds Benchmark
Not Assessed
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SOUTHERN PLAINS
Setting
The Southern Plains ecoregion covers about 405,000 square miles (14% of the conterminous U.S.) and includes central
and northern Texas; most of western Kansas and Oklahoma; and portions of Nebraska, Colorado, and New Mexico.
The Arkansas, Platte, White, Red, and Rio Grande rivers flow through this ecoregion, and most of the Ogallala aquifer
(one of the world's largest groundwater aquifers, which supplies irrigation and drinking water to eight states) lies
underneath it. Federal land ownership in this ecoregion totals about 11,980 square miles, or about 3% of the total.
The terrain is a mix of smooth and irregular plains interspersed with tablelands and low hills. The Great Prairie
grasslands, which once covered much of the Southern Plains ecoregion, are the most altered and endangered large
ecosystem in the U.S. About 90% of the original tallgrass prairie has been replaced by other vegetation; agriculture
and livestock grazing and production are prevalent. Agriculture is an important economic activity in this ecoregion,
and it includes sorghum, wheat, corn, sunflower, bean and cotton production. Livestock production and processing
is also prevalent. This ecoregion also contains a sizable portion of U.S. petroleum and natural gas production in
Oklahoma, Kansas and Texas. The total river and stream length represented in NRSA 2013-14 for the Southern Plains
ecoregion is 38,818 miles.
The climate in this ecoregion is dry temperate, with mean annual temperatures ranging from 45°F to 79°F. Annual
precipitation is between 10 and 30 inches.
Results Summary
A total of 133 NRSA sites were sampled to characterize the quality of rivers and streams in the Southern Plains
ecoregion. An overview of the findings is shown in Figure 5.7.
Figure 5.7. Ecoregional Results for the Southern Plains
Chemistry
Total Phosphorus
18%
22%
¦ 60%
38,818 miles of rivers and streams
Total Nitrogen
19%
24%
Biology
¦ 57%
Macroinvertebrates
— 33%
Salinity
71%
41%
26%
Fish
15%
¦ 14%
Acidification
Physical Habitat
Human Health
In-Stream Fish Habitat
77%
15%
3" 8%
1%
Riparian Disturbance
¦ 14%
56%
¦ 29%
|1%
Riparian Vegetative Cover
¦ 16%
37%
¦ 36%
11%
25 50 75
Percent of Length
25 50 75
Percent of Length
Excess Streambed Sediments
79%
25 50 75
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat) ~
Good
Fair
~
Poor
Not Assessed
Enterococci
76%
23%
1%
Microcystins
Mercury in Fish Tissue
34%
J 100%
]-2%
64%
25 50 75
Percent of Length
Legend (Human Health)
~	At or Below Benchmark
~	Exceeds Benchmark
Not Assessed
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Biological Indicators
The macroinvertebrate MM I showed that 33% of river and stream length in the Southern Plains ecoregion was of good
quality (based on the least-disturbed reference distribution). The fish MMI showed that 16% of river and stream length
was of good quality. Eleven percent of river and stream length was not assessed or, for various reasons, had insufficient
data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Southern
Plains ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with good
quality, 18% and 19% respectively, compared to physical habitat measures such as in-stream fish habitat, riparian
vegetation cover, and excess streambed sediments, which had 77%, 79%, and 65%, respectively.
Human Health Indicators
Human health indicators measured within the Southern Plains ecoregion showed that most of the river and stream
miles were below levels of concern. Enterococci were at or below the national benchmark for 76% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 34% of river and stream length, with 64% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
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NORTHERN PLAINS
Setting
The Northern Plains ecoregion covers approximately 205,084 square miles, or 7% of the conterminous U.S. It includes
the western Dakotas, Montana east of the Rocky Mountains, northeast Wyoming, and a small section of northern
Nebraska. This ecoregion is the heart of the Missouri River system and is almost exclusively within the Missouri River's
watershed. Federal lands account for 52,660 square miles, or nearly 26% of the total area.
Human economic activity in this ecoregion is primarily agriculture, including crop production and cattle and sheep
grazing. Coal mining occurs in the portions of North Dakota, Montana, and Wyoming that are within the ecoregion,
and petroleum and natural gas production are growing.
This ecoregion's terrain consists of irregular plains interspersed with tablelands and low hills.The Great Prairie
grasslands were once an important feature of this ecoregion, but they have largely been replaced by other vegetation
or land uses, particularly cropland. The total river and stream length represented in NRSA 2013-14 for the Northern
Plains ecoregion is 27,108 miles.
The climate in this ecoregion is dry and characterized by short, hot summers and long, cold winters. Temperatures
average 36°F to 46°F, and annual precipitation totals range from 10 to 25 inches. High winds are an important climatic
factor in this ecoregion, which is also subject to periodic intense droughts and frosts.
Results Summary
A total of 172 NRSA sites were sampled to characterize the quality of rivers and streams in the Northern Plains
ecoregion. An overview of the findings is shown in Figure 5.8.
Figure 5.8. Ecoregional Results for the Northern Plains
Total Phosphorus
40%
Total Nitrogen
Chemistry
47%
27,108 miles of rivers and streams
18%
Biology
¦ 34%
Macroinvertebrates
Salinity
S8%
50%
¦ 52%
22%
26%
Acidification
Physical Habitat
Human Health
25 50 75
Percent of Length
100
25 50 75
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat) ~
In-Stream Fish Habitat
60%
~^l— 32%
Riparian Vegetative Cover
72%
100%
15%
13%
Excess Streambed Sediments
¦41%
42%
100
¦ 18%
25 50 75
Percent of Length
Enterococci
Mercury in Fish Tissue
¦ 49%
¦11%
- 40%
80%

24%
13%

3" 7%

3" 7%


Riparian Disturbance
Microcystins

3 8%

I
100%
100
Good
Fair
~
Poor
Not Assessed
25 50 75 100
Percent of Length
Legend (Human Health)
~	At or Below Benchmark
~	Exceeds Benchmark
Not Assessed
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Biological Indicators
The macroinvertebrate MM I showed that 50% of river and stream length in the Northern Plains ecoregion was of good
quality (based on the least-disturbed reference distribution). The fish MMI showed that 35% of river and stream length
was of good quality. Twenty-one percent of river and stream length was not assessed or, for various reasons, had
insufficient data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Northern
Plains ecoregion. Phosphorus and nitrogen tended to have a higher percentage of river and stream miles with good
quality, 40% and 47% respectively, compared to other ecoregions; but unlike other ecoregions, salinity had a higher
percentage of rivers and streams rated poor. Physical habitat measures such as riparian vegetation cover and in-
stream fish habitat showed high percentages of river and stream miies with good quality, 72% and 69% respectively.
Human Health Indicators
Human health indicators measured within the Northern Plains ecoregion showed that most of the river and stream
miles were below levels of concern. Enterococci were at or below the national benchmark for 80% of river and stream
length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish
tissue plugs was at or below the national benchmark for 49% of river and stream length, with 40% unassessed for
a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.

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WESTERN MOUNTAINS
Setting
The Western Mountains ecoregion includes the Cascade, Sierra Nevada, and Pacific Coast ranges in the coastal states;
the Gila Mountains in the southwestern states; and the Bitterroot and Rocky mountain ranges in the northern and
central mountain states. The headwaters and upper reaches of the Columbia, Sacramento, Missouri, and Colorado
river systems all occur in this ecoregion.This ecoregion covers about 397,832 square miles, with about 297,900 square
miles, or 75% of the land, classified as federal iand.
The terrain of the Western Mountains ecoregion is characterized by extensive mountains and plateaus separated
by wide valleys and lowlands. Coastal mountains are transected by many fjords and glacial valleys, are bordered by
coastal plains, and include important estuaries along the margins of the ocean. Soils are mainly nutrient-poor forest
soils. Rivers drain dense forested catchments and contain much woody debris that provides habitat diversity and
stability. Rivers reaching the Pacific Ocean historically had large runs of salmon and trout; however, many of these
populations have been reduced by the effects of dams, flow regulation, overfishing, and invasive species. Smaller
rivers generally start as steep mountain streams with staircase-like channels, steps, and plunge pools, with riffles and
pools appearing as the slope decreases. Upper river reaches experience debris flows and landslides when shallow
soils become saturated by rainfall or snowmelt.The total river and stream length represented in NRSA 2013-14 for the
Western Mountains ecoregion is 186,538 miles.
The climate is sub-arid to arid and mild in southern lower valleys; it is humid and cold at higher elevations. The wettest
climates of North America occur in the marine coastal rainforests of this ecoregion. Mean annual temperatures range
from 32°F to 55°F, and annual precipitation ranges from 16 to 240 inches.
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Results Summary
A total of 266 NRSA sites were sampled to characterize the quality of rivers and streams in the Western Mountains
ecoregion. An overview of the findings is shown in Figure 5.9.
Biological Indicators
The macroinvertebrate MMI showed that 51% of river and stream length in the Western Mountains ecoregion was of
good quality (based on the least-disturbed reference distribution).The fish MMI showed that 26% of river and stream
length was of good quality. Thirty-two percent of river and stream length was not assessed or, for various reasons, had
insufficient data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Western
Mountains ecoregion. Phosphorus had a low percentage (15%) of river and stream miles in good condition, whereas
nitrogen had the highest percentage (60%) of river and stream miles with good quality, as compared to other
ecoregions. Physical habitat measures such as in-stream fish habitat, riparian vegetation cover, and excess streambed
sediments showed high percentages of rivers and stream miles rated good, 62%, 59%, and 56%, respectively.
Human Health Indicators
Human health indicators measured within the Western Mountains ecoregion showed that most of the river and
stream miles were below levels of concern. Enterococci were at or below the national benchmark for 85% of river and
stream length. Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury
in fish tissue plugs was at or below the national benchmark for 20% of river and stream length, with 79% unassessed
for a variety of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size
requirement, inability to obtain permits, inclement weather, and site access denial.
Figure 5.9. Ecoregional Results for the Western Mountains
Chemistry
Physical Habitat
Human Health
Total Phosphorus
15%
35%
50%
186,538 miles of rivers and streams
Biology
Total Nitrogen
20%
21 %
60%
Macroinvertebrates
Salinity
—|—51%

18%

2%

-+- 30%

0%

[ 1%



Fish

Acidification
—I— 26%

I
100%
11%
31%
— 32%
In-Stream Fish Habitat
62%
16%
3-21%
¦ 1%
Riparian Disturbance
¦ 37%
45%
¦ 16%
Riparian Vegetative Cover
' - 59%
18%
2%
Excess Streambed Sediments
—^— 56%
18%
24%
}3%
25 50 75
Percent of Length
25 50 75
Percent of Length
25 50 75
Percent of Length
Legend (Biology, Chemistry, and Physical Habitat) ~ Good Fair ~ Poor
Not Assessed
Enterococci
85%
—|— 15%
0%
Microcystins


I
Mercury in Fish Tissue
1%

"3- 79%


100%
25 50 75 100
Percent of Length
Legend (Human Health)
~ At or Below Benchmark
^ Exceeds Benchmark
Not Assessed
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XERIC
Setting
The Xeric ecoregion covers the largest area of all NRSA aggregate ecoregions and includes the most total land under
federal ownership. It covers portions of 11 western states and all of Nevada, for a total of approximately 636,583
square miles, or 21% of the conterminous U.S. Approximately 453,000 square miles, or 71% of the land, are classified as
federal lands, including Grand Canyon National Park, Big Bend National Park, and Hanford Nuclear Reservation.
The terrain of the Xeric ecoregion is composed of a mix of physiographic features, including plains with hills and low
mountains, high-relief tablelands, piedmont, high mountains, and intermountain basins and valleys. The ecoregion
includes the flat to rolling topography of the Columbia/Snake River Plateau; the Great Basin; Death Valley; and the
canyons, cliffs, buttes, and mesas of the Colorado Plateau. Its relatively limited surface water supply contributes to the
Upper and Lower Colorado, Great Basin, California, Rio Grande, and Pacific Northwest regional watersheds. Large rivers
flow all year, are supplied by snowmelt, and peak in early summer. Small rivers are mostly ephemeral. Rivers are often
subject to rapid change due to flash floods and debris flows. In southern areas of the ecoregion, internal drainages
often end in saline lakes or desert basins without reaching the ocean (e.g., Utah's Great Salt Lake).
Rivers in this ecoregion create a riparian habitat oasis for plants and animals. Many fish are endemic and have evolved
to cope with warm, turbid waters. The total river and stream length represented in NRSA 2013-14 for the Xeric
ecoregion is 44,017 miles.
The climate in this ecoregion varies widely from warm and dry to temperate, with mean annual temperatures ranging
from 32°F to 75°F and annual precipitation ranging from 2 to 40 inches.
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Results Summary
A total of 183 NRSA sites were sampled to characterize the quality of rivers and streams in the Xeric ecoregion. An
overview of the findings is shown in Figure 5.10.
Biological Indicators
The macroinvertebrate MMI showed that 22% of river and stream length in the Xeric ecoregion was of good quality
(based on the least-disturbed reference distribution). The fish MMI showed that 19% of river and stream length was of
good quality. Thirty-five percent of river and stream length was not assessed or, for various reasons, had insufficient
data to calculate the fish MMI.
Chemical and Physical Habitat Indicators
The percentage of miles rated good for chemical and physical habitat indicators varied widely within the Xeric
ecoregion. Phosphorus and nitrogen tended to have a lower percentage of river and stream miles with good quality,
29% and 38% respectively; however, the percentage of river and stream miles with poor quality for nitrogen was half
as much as that for phosphorus, 24% and 48% respectively. Physical habitat measures such as in-stream fish habitat,
riparian vegetation cover, and excess streambed sediments showed high percentages of rivers and stream miles rated
good, 55%, 65%, and 63%, respectively.
Human Health Indicators
Human health indicators measured within the Xeric ecoregion showed that most of the river and stream miles were
below levels of concern. Enterococci were at or below the national benchmark for 82% of river and stream length.
Microcystins were at or below the national benchmark for 100% of river and stream length. Mercury in fish tissue
plugs was at or below the national benchmark for 19% of river and stream length, with 73% unassessed for a variety
of reasons, including the absence offish, the lack of habitat to support fish that met the minimum size requirement,
inability to obtain permits, inclement weather, and site access denial.
Figure 5.10. Ecoregional Results for the Xeric Ecoregion
Chemistry
Total Phosphorus
29%
Total Nitrogen
Physical Habitat
In-Stream Fish Habitat
¦ 55%
]	48%
44,017 miles of rivers and streams
Biology
¦ 24%
24%
¦20%
[ 1%
Riparian Disturbance
¦ 18%
40%
— 42%
Macroi n ve rte brates
22%
34%
-I
Salinity
¦0%
Riparian Vegetative Cover
70%
44%
Fish
17%
¦ 13%
Acidification
= 19%
20%
^— 27%
	35%
100%
2%
19%
¦ 16%
25 50	75
Percent of Length
100
25 50 75
Percent of Length
100
25 50 75
Percent of Length
100
Legend (Biology, Chemistry, and Physical Habitat) ~ Good
Fair
~
Poor
Not Assessed
Human Health
Enterococci
¦ 82%
13%
5%
Microcystins

¦ 65%
I
20%


—|— 15%


•0%


Excess Streambed Sediments

63% c
I
Mercury
' in Fish Tissue

+
19%


3-8%





4
- 73%



] 100%
25 50 75
Percent of Length
Legend (Human Health)
~ At or Below Benchmark
Exceeds Benchmark
Not Assessed
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Summary and Next Steps
The second NRSA provided an opportunity to assess the quality of our nation's perennial rivers and streams
in 2013-14, to report consistently across jurisdictional boundaries, and to evaluate differences compared to
data collected by prior surveys.This accomplishment resulted from the extraordinary effort and cooperation
among state, tribal, and federal partners throughout its design and implementation. The results and underlying data
from this national survey include important insights on biological and recreational quality of perennial rivers and
streams, stressors associated with degraded biological quality, and the potential improvement that might arise from
efforts to reduce those stressors. Additionally, NRSA provided valuable information on differences in river and stream
water quality between 2008-09 and 2013-14 nationally and at other spatial scales (available to view in the NRSA data
dashboard at https://riverstreamassessment.epa.gov/dashboard). Fish fillet composite results are available at https://
www.epa.gov/fish-tech/2013-2014-national-rivers-and-streams-assessment-fish-tissue-study.
National Rivers and Streams Assessment 2013-2014 I A Collaborative Survey
NEXT STEPS
As this report was being completed, NRSA 2018-19 was underway. During this next two-year survey, crews from
states, tribes, EPA and other federal agencies, and contractors sampled more than 2,000 sites across the contiguous
U.S. In preparation, the NRSA team applied a variety of iessons learned from NRSA 2013-14 as well as other national
surveys. The planning team refined manuals and training materials to increase clarity for partners and facilitate
consistency between surveys for future trends analysis. NRSA 2018-19 incorporated the use of tablet devices to
replace paper forms and streamline submission of field-collected data.
Moving forward, EPA will continue to work on new analytical approaches to multiple aspects of the NARS program, as
well as on refining the process for establishing benchmarks. For example, EPA completed a stressor-response model
for nutrients in lakes and proposed water quality criteria recommendations for nutrients in lakes to assist states and
tribes (USEPA 2020b).
Additionally, EPA will be improving the accessibility and transparency of future NRSA and other NARS reports by
continuing to move to a web platform that will enable the public to more fully understand and use the data and
information from the program.

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409-463.
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Appendix A
Indicator Table and List of Measurements



Was difference
Category
Indicator
Benchmark approach
General assessment notes
assessed?
Macroirivertebrates
Biological
Fish
NRSA-derived, regionally
specific benchmark
Yes
Collected from the bottom of the stream or river at 11 transects throughout
the sampled reach. Organisms were typically identified to genus and a
multimetric index was developed based on life history characteristics and
tolerance to environmental conditions.
NRSA-derived, regionally
specific benchmark
Yes
Collected throughout the reach. Fish were typically identified to species
by crews in the field and a multimetric index was developed based on life
history characteristics and tolerance to environmental conditions.
Phosphorus
Chemical
NRSA-derived, regionally
specific benchmark
Yes
Collected from the water column at Transect A (Non-Wadeable) or at
the X-site (Wadeable). Measured concentrations were compared to
benchmarks.
Nitrogen
NRSA-derived, regionally
specific benchmark
Yes
Collected from the water column at Transect A (Non-Wadeable) or at
the X-site (Wadeable). Measured concentrations were compared to
benchmarks.
Salinity
NRSA-derived, regionally
specific benchmark
Yes
Collected from the water column at Transect A (Non-Wadeable) or at
the X-site (Wadeable). Measured concentrations were compared to
benchmarks.
Acidification
Nationally consistent,
literature-based
benchmark
Yes
Collected from the water column at Transect A (Non-Wadeable) or at
the X-site (Wadeable). Measured concentrations were compared to
benchmarks developed during the National Acid Precipitation Assessment
Program.
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Category
Indicator
Benchmark approach
Was difference
assessed?
General assessment notes

In-stream Fish Habitat
NRSA-derived, regionally
specific benchmark
Yes
Observations were recorded throughout the sampled reach. Metrics
and indicators were developed and compared to regionally specific
benchmarks.
Physical
Riparian Disturbance
Nationally consistent,
literature-based
benchmark
Yes
Observations were recorded throughout the sampled reach. Metrics and
indicators were developed and compared to national benchmarks.
Riparian Vegetative
Cover
NRSA-derived, regionally
specific benchmark
Yes
Observations were recorded throughout the sampled reach. Metrics
and indicators were developed and compared to regionally specific
benchmarks.

Streambed Sediments
NRSA-derived, regionally
specific benchmark
Yes
Observations were recorded throughout the sampled reach. Metrics
and indicators were developed and compared to regionally specific
benchmarks.

Enterococci
Nationally consistent,
EPA-derived benchmark
Yes
Collected from the water column at K transect and measured using
quantitative polymerase chain reaction. Concentrations were compared
to the USEPA recommended recreational water quality criteria statistical
threshold value of 1,280 CCE (cell calibrator equivalents)/!00 mL (USEPA
2012).
Human Health
Contaminants in Fish
Tissue
Nationally consistent,
EPA-derived benchmarks
No
Collected throughout the reach. A small plug offish tissue was collected
for analysis at all sites for mercury; whole-fish composite samples were
collected at sites with a stream order > 5 for analysis of fillet composite
samples for mercury, PCBs and PFAS. Concentrations were compared
to EPA's recommended fish tissue-based water quality criterion for
methylmercury (300 ppb; USEPA 2001), human health fish tissue
benchmarks for PCBs (18 ppb based on cancer effects and 73 ppb based on
noncancer effects), and a 68 ppb human health fish tissue benchmark for
PFOS (USEPA 2016a).

Microcystins
Nationally consistent,
EPA-derived benchmark
No
Collected from the water column at Transect A (Non-Wadeable) or
at the X-site (Wadeable). Concentrations were compared to the EPA
recommended swimming advisory level for microcystins of 8 |ag/L (USEPA
2019a).
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Appendix B
Ecoregion-Specific Benchmarks Used in NRSA
Ecoregion
Benthic
Macroinvertebrate
MM!
FishMMI
Total
Nitrogen
(mq/l)
Total
Phosphorus
(ng/L)
Salinity as
Conductivity
(|jS/cm)
Good (>)
Poor (<)
Good (>)
Poor (<)
Good (<)
Poor (>)
Good (<)
Poor (>)
Good (<)
Poor (>)
CPL
54.9
40.7
57.3
46.8
624
1081
55.9
103.0
500
1000
MAP
55.0
40.9
57.6
47.1
345
482
17.1
32.6
500
1000
SAP
45.0
30.8
60.3
49.8
240
456
14.8
24.4
500
1000
UMW
36.9
22.7
39.8
29.3
583
1024
36.3
49.9
500
1000
TPL
40.3
26.2
58.0
47.5
700
1274
88.6
143.0
1000
2000
NPL
56.8
42.6
46.3
35.8
575
937
64.0
107.0
1000
2000
SPL
35.5
21.3
50.2
39.7
581
1069
55.8
127.0
1000
2000
WMT
50.1
35.9
75.9
65.4
139
249
17.7
41.0
500
1000
XER
57.0
42.8
76.8
63.7
285
529
52.0
95.9
500
1000
See the NRSA 2013-14 Technical Support Document for ecoregional category assignments for in-stream fish habitat, riparian vegetation cover, and stream-
bed sediment. See Appendix A for indicators that are assessed with nationally consistent benchmarks.
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Appendix C
Percentage of Stream Miles in Each Category: 2008-09 Estimates (Original and Recalculated)
2013-14 Estimates, and Difference Between 2008-09 Recalculated and 2013-14 Estimates
Indicator
Original estimate
from 2008-09 report
(percent)
2008-09 estimate
recalculated for
consistency with
2013-14 report
(percent)
2013-14 estimate
(percent)
Difference (with
confidence
intervals) between
recalculated 2008-
09 estimate and
2013-14 estimate
(percentage points)
Reason for difference between original 2008-09
estimate and 2008-09 recalculated estimate used in
difference analysis
Benthic MMI
Good
28
29.6
30.2
0.6 (-3.1 to 4.3)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
NRSA 2008-09 and 2013-14.
Fair
25
24.5
26.1
1.6 (-2.6 to 5.8)
Poor
46
44.9
43.5
-1.4 (-5.5 to 2.8)
Not Assessed
1
1
0.2
-0.8 (-1.3 to-0.4)
Fish MMI
Good
36
34.8
26.4
-8 (-12 to-4)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
Fair
19
23.9
22.4
-1.5 (-6 to 3)
Poor
32
26.5
36.8
10(6 to 14)
NRSA 2008-09 and 2013-14.
2)	Analytical approach for developing the fish MMI
changed from a random-forest model to a more
traditional approach similar to the one used for the
benthic MMI.
3)	A larger set of reference sites was used in 2013-14 to
establish benchmarks than in 2008-09.
Not Assessed
13
14.8
14.3
-0.5 (-3 to 3)
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Indicator
Original estimate
from 2008-09 report
(percent)
2008-09 estimate
recalculated for
consistency with
2013-14 report
(percent)
2013-14 estimate
(percent)
Difference (with
confidence
intervals) between
recalculated 2008-
09 estimate and
2013-14 estimate
(percentage points)
Reason for difference between original 2008-09
estimate and 2008-09 recalculated estimate used in
difference analysis
Phosphorus
Good
35
34.4
17.5
-17 (-21 to-13)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
Fair
19
18.1
24.1
6 (2 to 10)
Poor
46
47.3
58.4
11 (7 to 15)
Not Assessed
0.2
0.3
0
-0.3 (-0.5 to -0.1)
Nitrogen
Good
38
38.7
32.3
-6.4 (-10.3 to-2.4)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
Fair
20
20.3
24.5
4.2 (0.32 to 8.1)
Poor
41
40.8
43.2
2.4 (-1.6 to 6.5)
Not Assessed
0.2
0.3
0
-0.3 (-0.5 to -0.04)
Salinity
Good
85
84
86.4
2.4 (-0.01 to 4.9)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
Fair
12
11.7
9.7
-2.0(-4.3 to 0.4)
Poor
3
3.9
3.8
-0.12 (-1.3 to 1.1)
Not Assessed
0.3
0.5
0.1
-0.4 (-0.7 to-0.1)
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Indicator
Original estimate
from 2008-09 report
(percent)
2008-09 estimate
recalculated for
consistency with
2013-14 report
(percent)
2013-14 estimate
(percent)
Difference (with
confidence
intervals) between
recalculated 2008-
09 estimate and
2013-14 estimate
(percentage points)
Reason for difference between original 2008-09
estimate and 2008-09 recalculated estimate used in
difference analysis
Acidification
None
99
98.5
98.4
0.0 (-1 to 0.9)
1)	To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
2)	Acid mine drainage, episodic acidification, and acid
deposition were reported as separate categories in
2008-09 butaregrouped together as "poor" in 2013-14.
ACID-organic
0.4
0.5
0.2
-0.3 (-0.6 to 0.0)
Poor (ACID-
AMD, Episodic,
orACID-
aciddep)
0.5
0.8
1.1
0.2 (-0.3 to 0.7)
Not Assessed
0.2
0.2
0.3
0.1 (-0.3 to 0.5)
In-stream Fish Habitat
Good
68
67.7
64.3
-3.4 (-7.7 to 0.9)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
Fair
20
21.1
20.4
-0.7 (-4.7 to 3.4)
Poor
11
11.2
14.4
3.3 (0.04 to 6.6)
Not Assessed
0
0
0.8
0.8 (0.3 to 1.2)
Riparian Disturbance
Good
34
34.7
29
-5.8 (-9.9 to-1.6)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
Fair
46
44.2
47
2.8 (-1.8 to 7.3)
Poor
20
21.1
23.3
2.3 (-1.1 to 5.7)
Not Assessed
0
0
0.7
0.7 (0.3 to 1.2)
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Indicator
Original estimate
from 2008-09 report
(percent)
2008-09 estimate
recalculated for
consistency with
2013-14 report
(percent)
2013-14 estimate
(percent)
Difference (with
confidence
intervals) between
recalculated 2008-
09 estimate and
2013-14 estimate
(percentage points)
Reason for difference between original 2008-09
estimate and 2008-09 recalculated estimate used in
difference analysis
Riparian Vegetation
Good
56
55.8
58
2.2 (-2.1 to 6.5)
1)	To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14
2)	A larger set of reference sites was used in 2013-14
than in 2008-09.
Fair
20
19.1
17.4
-1.7 (-5.5 to 2.2)
Poor
24
25.1
23.7
-1.4 (-5.1 to 2.2)
Not Assessed
0
0
0.9
0.9 (0.4 to 1.5)
Streambed Sediment
Good
55
50.8
51.9
1.1 (-3.2 to 5.4)
1)	To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14
2)	A larger set of reference sites was used in 2013-14
than in 2008-09.
Fair
29
28.6
22.3
-6.3 (-10.3 to-2.3)
Poor
15
19.3
21.8
2.5 (-1.2 to 6.1)
Not Assessed
1
1.4
4.1
2.8(1.1 to 4.4)
Enterococci
Above Human
Health
Benchmark
23
21.8
29.9
8.0 (3.7 to 12.4)
1) To ensure known stream and river lengths were
equivalent for difference analysis, the statistical analysis
method was updated and applied to data from both
N RSA 2008-09 a nd 2013-14.
At or Below
Human Health
Benchmark
70
71.3
68.9
-2.5 (-6.9 to 2.0)
Not Assessed
6
6.8
1.2
-5.6 (-7.1 to-4.1)
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Appendix D
Photo Citations
Page number
Photograph
Cover (left)
New Mexico1
Cover (2nd from left)
Olympic National Park,WA'
Cover (2nd from right)
Cattaraugus Creek, NY1
Cover (right)
West Virginia1
7
Minnesota2
9
Weber River, UT; photo courtesy of Utah Department of Environmental Quality
14 (left)
Rock Creek, Washington, DC1
14 (right)
Rock Creek, Washington, DC1
15
Young cutthroat trout swimming in shallow water, Yellowstone National Park, WY, National Park Service, Jay Fleming
21 (left)
New Mexico1
21 (2nd from left)
Rock Creek, Washington, DC1
21 (right)
Little White Oak Creek, TX; photo courtesy of Environmental Institute of Houston, University of Houston-Clear Lake
27
New Mexico1
34
Sandies Creek, TX; photo courtesy of Environmental Institute of Houston, University of Houston-Clear Lake
36
Wadsworth Falls on the Coginchaug River in Wadsworth Falls State Park, CT, Jllm06, Wikipedia, cropped, CC BY-SA 4.0
38
Potomac and Shenandoah Rivers, View from Maryland Heights Overlook, July 4, 2014, National Park Service, Wikimedia Commons
40
Key Bridge and Rosslyn, Potomac River, Nathan Winter, Flickr, cropped, CC BY-NC 2.0
42
Minnesota
44
Kansas
47
South Dakota
49
Family recreation on the Owyhee River, OR, Larry Moore, Bureau of Land Management, Flickr, cropped, CC by 2.0
50
Colorado
52
Rio Puerco, NM
54
Sand to Snow National Monument, CA, Bob Wick, Bureau of Land Management, Flickr, public domain
57
Vernal Falls, Yosemite Valley, CA; DenysNevozhai, Unsplash
'Photo provided by USEPA. 2Photo provided by USGS.
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