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Evaluating nonpoint pollution policy using a tightly coupled spatial decision support system.

D A Bennett1, A J Vitale

  • 1Department of Geography, The University of Iowa, Iowa City 52242, USA. david-bennett@iowa.edu

Environmental Management
|June 8, 2001
PubMed
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Policy makers can improve environmental goals by understanding landowner actions. Place-based strategies are most effective for reducing agricultural nonpoint pollution.

Area of Science:

  • Environmental policy
  • Agricultural management
  • Water quality modeling

Background:

  • Policy makers rely on local landowner actions for environmental goals.
  • Understanding the link between policy and local action is crucial for predicting impacts.
  • Agricultural set-aside programs, like the Conservation Reserve Program, aim to reduce nonpoint pollution.

Purpose of the Study:

  • To evaluate the effectiveness of alternative policy scenarios for agricultural set-aside programs in reducing nonpoint pollution.
  • To analyze two policy scenarios: one based on erodibility (detachment) and another on sediment yield (transport).
  • To estimate the cumulative impact of land use change on nonpoint pollution using a watershed model.

Main Methods:

  • Developed and analyzed two alternative policy scenarios for agricultural set-aside programs.

Related Experiment Videos

  • Utilized the AGNPS distributed parameter watershed model to estimate pollution impacts.
  • Conducted the study within the Cypress Creek watershed in southern Illinois.

    • Main Results:

    • The effectiveness of regulatory strategies for nonpoint water pollution goals varies.
    • Place-specific land use patterns influence the efficacy of different policy approaches.
    • The study highlights the importance of tailored strategies for different locations.

    Conclusions:

    • The most effective regulatory strategy for achieving nonpoint water pollution goals is dependent on local land use patterns.
    • A place-based regulatory strategy is strongly supported by the findings.
    • Integrating local context into policy design is essential for successful environmental management.