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Related Experiment Video

Updated: May 28, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Development by design: mitigating wind development's impacts on wildlife in Kansas.

Brian Obermeyer1, Robert Manes, Joseph Kiesecker

  • 1The Nature Conservancy, Cottonwood Falls, Kansas, United States of America.

Plos One
|November 3, 2011
PubMed
Summary
This summary is machine-generated.

Properly siting wind energy projects in Kansas can balance electricity generation with wildlife conservation. This study identifies areas suitable for development, with or without mitigation, ensuring ecological goals are met.

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Watershed Planning within a Quantitative Scenario Analysis Framework
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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Published on: December 9, 2012

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Published on: July 24, 2016

Area of Science:

  • Environmental Science
  • Renewable Energy
  • Wildlife Conservation

Background:

  • Wind energy offers environmental benefits but poses risks to wildlife through mortality and habitat disruption.
  • Proper siting and mitigation strategies can significantly reduce negative impacts on wildlife.

Purpose of the Study:

  • To identify areas in Kansas suitable for wind energy development while minimizing conservation conflicts.
  • To categorize land based on wind development compatibility and mitigation needs.
  • To assess the potential for wind energy capacity that aligns with conservation goals.

Main Methods:

  • Spatial analysis to map wind development potential against conservation priorities in Kansas.
  • Categorization of land into three tiers: incompatible, compatible with mitigation, and compatible without mitigation.
  • Estimation of potential wind energy capacity for each category.

Main Results:

  • Approximately 48% of Kansas (10.3 million ha) can support wind development while meeting conservation goals.
  • 2.7 million ha are identified as suitable for development without compensatory mitigation, potentially yielding 125 GW.
  • Identified capacity significantly exceeds projected 2030 wind energy needs for the US.

Conclusions:

  • Strategic wind energy siting in Kansas can achieve substantial capacity while safeguarding wildlife.
  • A "Green Certification" program for projects adhering to these siting guidelines could support industry growth and reputation.
  • This approach demonstrates a viable pathway for sustainable wind energy expansion.