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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Optimizing environmental measures for landscape multifunctionality: effectiveness, efficiency and recommendations for

Carolin Galler1, Christina von Haaren1, Christian Albert1

  • 1Department of Environmental Planning, Leibniz University Hanover, Herrenhäuser Str. 2, 30419 Hannover, Germany.

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|January 12, 2015
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Summary

Coordinated agri-environmental management strategies effectively improve multiple environmental objectives, like biodiversity and climate mitigation. Integrating these measures spatially optimizes cost-efficiency and environmental impact compared to uncoordinated approaches.

Keywords:
Agri-environmental measuresEconomicEcosystem servicesEnvironmental planningLandscape functionsMultifunctionalityTrade-off

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Area of Science:

  • Environmental Science
  • Agricultural Science
  • Ecosystem Services Management

Background:

  • Agri-environmental measures vary in their ability to provide multiple ecosystem services simultaneously.
  • Current funding structures often hinder multifunctional approaches by focusing on single environmental objectives.
  • Integrating diverse measures requires quantifying their effects on various ecosystem services.

Purpose of the Study:

  • To compare uncoordinated versus coordinated management strategies for achieving multiple environmental objectives.
  • To develop and apply a method for quantifying the effectiveness, spatial, and cost efficiency of landscape functions.
  • To assess the contribution of different management strategies to erosion prevention, water quality, climate mitigation, and biodiversity.

Main Methods:

  • Developed a quantitative method to assess effectiveness, spatial, and cost efficiency.
  • Focused on four key landscape functions: erosion prevention, water quality, climate change mitigation, and biodiversity.
  • Utilized a case study in the county of Verden, Germany.

Main Results:

  • Biodiversity and climate change mitigation measures exhibit high multifunctional effects, suitable for integrated strategies.
  • Spatially targeted allocation of agri-environmental measures is crucial for realizing the benefits of multifunctional approaches.
  • Coordinated strategies offer optimized cost-benefit ratios or increased effects per area compared to uncoordinated ones, though not always simultaneously.

Conclusions:

  • Integrated management strategies leveraging multifunctional agri-environmental measures are more effective than uncoordinated approaches.
  • Spatial targeting and coordination are key to maximizing environmental benefits and cost-efficiency.
  • Further research is needed to refine assessment and valuation indicators for ecosystem services.