Watershed Scale Planning and Implementation
The development of best management practices (BMPs) is an important step in protecting water quality and is continuously improving with the introduction of new technologies and more refined modeling programs. Researchers at Land Grant Universities and with CSREES funding are implementing BMPs at the watershed scale and monitoring their effectiveness.
Research pertaining to "Watershed Scale Planning and Implementation" can
be broken into the following categories (linked further down on
this page):
Identifying
Critical Areas to Best Locate BMPs
Factoring
Economics into Watershed Management Decisions
Identifying Critical Areas to Best Locate BMPs
Research
efforts through CSREES and the Land Grant System are trying to
predict where BMPs should be located within a watershed to maximize
their
impact
on
water
quality and evaluating the performance of BMPs on a watershed scale.
Decision makers are integrating this research-based information
into their watershed management plans.
Modeling Efforts to Predict BMP Effectiveness:
At the
University of Arizona, research information is being integrated
into a Spatial
Decision Support System
.
The decision support system includes a quality-assured information
database for water quality and the economic effects of best management
practices. The system will be accessible via the Internet, helping
land managers to select the best types and locations of best management
practices based on site-specific data. It will allow managers to
identify critical areas causing water quality
degradation, and design and implement management practices to improve
water quality.
The system is to be pilot tested in Iowa by the Natural Resource
Conservation Service, and then extended to other selected sites.
A phosphorus
model
has
been created at Utah State University that predicts annual average
phosphorus outputs and allows decision
makers and landowners
to compare the long-term effectiveness of
alternative phosphorus reduction strategies. This model
is adaptable as a planning tool for other western watersheds.
At Kansas
State University, a research-based model using uses GIS and the
Soil and Water Assessment Tool (SWAT) has been developed
to identify areas susceptible to nonpoint
source polluted runoff (Neel
2004
)
in midwestern surface waters. The model also simulates the effects
of nutrient, sediment and pesticide best management practices (BMPs)
on water quality at the watershed scale. The model project will
facilitate the implementation of agricultural BMPs in cooperation
with stakeholders so that water quality goals can be met.
At the
University of Minnesota, the feasibility
of attaining TMDLs
in
a given watershed is being addressed through GIS-based modeling.
The project will use information
about sediment
loss, nitrogen and phosphorus loading, stakeholder education, and
implementation of BMPs to provide stakeholders with information
for making sound management decisions. Researchers hope to provide
attractive management practices that producers would be willing
to adapt to their farms to mitigate nutrient and sediment loading
while enhancing agricultural production and profitability, and
improving environmental quality.
Moving Field-Based Results to the Watershed Scale
Researchers
at the University of Rhode Island (URI) Watershed
Hydrology Laboratory
determined landscape
controls of riparian zone groundwater nitrate removal
.
These insights were translated into methods that can be adapted
to available
spatial
databases and enhance our ability to target high value riparian
zones for protection and restoration to improve or maintain water
quality. The URI
NEMO Program
has
incorporated these results into their programming with municipal
officials and modeling efforts.
A manual
was developed at North Carolina State University entitled, Selected
Agricultural Best Management Practices to Control Nitrogen in the
Neuse River
Basin
. The information contained in this document is a compilation
of the best professional judgement of a working group of scientists.
For two days, these scientists toured 19 riparian buffer and controlled
drainage sites (carefully selected to be representative) within
the Neuse River Basin. Discussions were held at each site on the
appropriate management practice(s) that should be used under various
soil and crop conditions. On the third day, the group synthesized
their recommendations for placement and design of riparian buffer
and controlled drainage systems.
Evaluating BMPs at the Watershed Scale
The
CSREES
Conservation Effects Assessment Project (CEAP)
,
jointly offered by CSREES and the USDA Natural Resource Conservation
Service, funds projects that evaluate the effects of water conservation
practices. CEAP projects examine how the
timing and spatial distribution of water conservation practices
throughout a watershed affect their
ability to improve water quality on a local scale. Outreach
education is another component of CEAP projects that transfers
knowledge
gained from research to farmers, ranchers, community leaders, and
other stakeholders. CEAP projects funded in 2004 are listed at:
http://www.usawaterquality.org/watershed/projects/CEAP/2004.html
A project
at the University of Idaho is examining why
conservation practices are effective at the watershed scale
with
emphasis on statistical analysis of existing monitoring data, geospatial
modeling,
and integrated physical and socioeconomic analyses.
Heidelberg
College researchers are studying if there is a relationship
between water quality and agricultural management trends
.
They are also developing a land use/water quality model for the
Rock
Creek Watershed to evaluate the effectiveness of BMPs as well as
the influence of timing and location on the effectiveness of BMPs.
Iowa
State University researchers are assessing
the cost and effectiveness of multiple conservation practices at
a watershed scale
and
investigating alternative conservation programs to determine the
cost effectiveness
of alternative policy designs.
A study
at Utah State University is examining changes in the surface water
quality of the Little Bear River watershed and relating them
to the implementation
of agricultural BMPs to determine the effectiveness of the water
management process
. It
is also analyzing the changes in behaviors of landowners as a result
of BMP implementations.
Highlighting Partner Activity: The USDA
NRCS CEAP is
studying the benefits of most
conservation practices implemented
through the Environmental Quality Incentives Program, Wetlands
Reserve Program, Wildlife Habitat Incentives Program, Conservation
Reserve Program and NRCS Conservation Technical Assistance. This
project is evaluating conservation practices and management systems
related to nutrient, manure, and pest management, buffer systems,
tillage, irrigation, and drainage practices, as well as wildlife
habitat establishment, and wetland protection and restoration.
The Natural Resources Inventory and watershed studies are critical
components of NRCS CEAP efforts.
Researchers at Purdue University (Frankenberger
2003)
conducted an evaluation of the Black Creek Watershed Project
20 years after its completion
to determine the long-term impacts on the
attitudes of farmers, the utilization of BMPs, and the condition
and maintenance of BMPs.
In addition, this study was quantifying the long-term ecological
impacts of the project on the type and distribution of aquatic
species and the chemistry of the receiveing waters and testing/improving
existing computer
simulation models
(ANSWERS,
SWAT, WEPP, DRAINMOD, NAPRA (GLEAMS)) to assess their capability
and effectiveness in simulating and promoting past and
current water quality BMPs.
A project at the State University of New York at Brockport is
examining the effects
of BMPs on water quality in agriculturally dominated watersheds,
through the experimental watershed approach .
Pre-manipulation data are available and BMPs are being implemented
(Markarewicz
2004
).
Paired Watershed Studies
Paired watershed studies are a useful tool for assessing the effectiveness
of BMPs. Using one watershed as a control and an example of baseline
conditions, BMPs or other treatments can be implemented in the
second watershed and evaluated over time.
The
Jordan
Cove Project
of
the University of Connecticut is designed to determine
the water quality and quantity benefits of using pollution prevention
BMPs
in a residential subdivision. This study, one of the Section
319 National Monitoring Program Projects, began in 1995 and will
continue
for ten years. The overall study design is the paired watershed
approach over two different time periods – calibration and
treatment – and three different watersheds – one control
and two treatments (traditional development and development with
BMPs). Mid-project results indicated that typical hydrologic alterations
due to construction activities, such as increased runoff volume,
were not found in the watershed with BMPs.
A University
of Minnesota project is evaluating the effectiveness
of farmer-selected BMPs on nutrient reductions
in
the Minnesota River Basin. Farmers are implementing BMPs in test
watershed while the other watershed remains unchanged. Water
quality and farm survey data is being collected that will be used
for economic and water quality modeling to determine the costs
and benefits of various management practices.
Researchers
at the University of Nebraska are evaluating the efficacy
of grassed buffers on improving and protecting stream water quality
by
quantification of agrichemical loading to surface water in two
adjacent watersheds – one with buffers and one without (Franti
2003
).
Since
the early 1950s, researchers at the University of California at
Davis have conducted a series of watershed studies on experimental
rangeland watersheds.
The impact
of changing land use and rangeland management effects
on
water quality has been the focus of this work.
Factoring Economics into Watershed Management Decisions
Watershed management decisions must be economically feasible in
order to gain support from local stakeholders. Research within
CSREES and at Land Grant Universities is examining the economics
of watershed management decisions. Researchers are examining
how market-based approaches (i.e., pollution trading) achieve
watershed scale pollution control, studying the economics of
BMPs, and developing watershed models that incorporate economic
factors.
Pollution Trading
Pollution trading is an incentive-based approach to pollution reduction
that can be carried out in many different ways. It may be initiated
by regulatory agencies or by the pollution sources themselves,
and can involve both point and nonpoint source pollution. Among
the sources involved, pollutant load reductions are made or best
management practices are implemented where it is most cost-effective,
allowing other sources to avoid expensive alterations or procedures.
The
CSREES New York – New Jersey – Puerto Rico – Virgin
Islands Region have established a Nutrient
Trading Initiative
to help
local stakeholders understand and increase their capacity for incentive-based
pollution trading programs, specifically programs
that involve nonpoint (agricultural, rural and suburban) sources.
The initiative has fostered regional trading projects, including
a project in the Upper Passaic River Watershed that aims to achieve
water quality standards for phosphorus.
Researchers
at the University of Georgia are constructing a framework for the
trading
of phosphorus credits between point (e.g. wastewater
treatment plants) and nonpoint (e.g. agricultural) sources
that
will help achieve phosphorus load restrictions imposed by the Georgia
Environmental Protection Division and a recent TMDL.
Monitoring data and uncertainty analysis will be used to create
watershed-scale models and phosphorus trading ratios for the basin.
A watershed advisory council will also be created as a means of
engaging stakeholders in the process.
Economic Feasibility of BMPs
For
the Neuse River Project, the overall
costs of implementing different BMPs
were
compared. Where costs to farmers are prohibitively high, cost-sharing,
bonuses, tax breaks and other types of incentive plans have been
developed to aid farmers in implementing BMPs. Economic analysis
has helped to determine which BMPs are most cost effective in each
region.
Note:
many of the projects listed above incorporated economic factors
into watershed scale planning and implementation research.
Watershed Models with Economic Components
At the
University of Arizona, research information is being integrated
into a Spatial Decision Support System
for resource conservation and water quality. The decision support
system will include a quality-assured information database
for water quality and the economic effects of best management practices
,
incorporating information on sustainability, offsite effects, and
profitability. It will be accessible via the Internet, helping
land managers to select economically feasible BMPs based on site-specific
data. The system is to be pilot tested in Iowa by the Natural Resource
Conservation Service, and then extended to other selected sites.
Iowa
State University, University of Minnesota and Texas Institute for
Applied Environmental Research are jointly studying the use
of research and modeling information in community-based watershed
planning.
As part of this project, the Texas Institute for Applied Environmental
Research will apply watershed models to develop information in
response to local requests and provide comparisons of costs
and environmental benefits (nutrient loading) for specific management
scenarios
to
help citizens develop local goals and performance criteria for
water quality protection.
Researchers
at the University of Nebraska are developing a Pollution-Economic
Decision Support Tool to aid farmers
and community
members in adopting BMPs, evaluating conservation programs, and
creating watershed management plans. The project will assess best
management and soil-water conservation practices to evaluate their
performance and determine
their economic and watershed pollution returns
. It will then
use this information to create a decision support tool that integrates
pollution assessment and economic
analysis.
Indicates
work supported by the USDA-CSREES National
Research Initiative Competitive Grants Program
.
The intent of this page is not to catalogue all activities but rather to indicate the types of research in the CSREES Watershed Management theme across the U.S.