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Updated: Mar 1, 2026

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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A spatially explicit approach for identifying, prioritizing, and estimating costs associated with potential
Kelsey D Karnish1, Emily K Zimmerman1, John C Tyndall1
1Department of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, USA.
Journal of Environmental Quality
|February 28, 2026
Summary
Restoring Iowa
Area of Science:
- Agricultural Science
- Ecosystem Services
- Conservation Planning
Background:
- Land-use change in the US Corn Belt has degraded ecosystem services.
- Restoring floodplains offers significant conservation opportunities.
- Prioritizing conservation efforts for maximum environmental and financial benefit is challenging.
Purpose of the Study:
- To identify and prioritize potential floodplain easement opportunities in Iowa.
- To evaluate the costs associated with restoring these high-priority areas.
- To develop an accessible approach for conservation planners.
Main Methods:
- Utilized geospatial data (flood return intervals, field boundaries, land use).
- Identified 141,314 potential easement opportunities, prioritizing 2707 high-priority sites.
- Estimated costs using soil, crop productivity, land value, and vegetation data.
Main Results:
- Identified 2707 high-priority floodplain easement locations totaling 56,300 ha.
- Estimated annual costs for restoring high-priority easements at $84.8 million USD.
- Developed a replicable methodology for conservation planning.
Conclusions:
- Floodplain easements present a viable strategy for restoring ecosystem services in agricultural landscapes.
- The developed prioritization and costing approach can guide conservation investments.
- This methodology can be applied in Iowa and other agriculturally dominated regions.
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