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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

Integrating resilience thinking and optimisation for conservation.

Joern Fischer1, Garry D Peterson, Toby A Gardner

  • 1The Fenner School of Environment and Society, The Australian National University, Canberra, ACT 0200, Australia. joern.fischer@anu.edu.au

Trends in Ecology & Evolution
|August 12, 2009
PubMed
Summary
This summary is machine-generated.

Integrating resilience thinking and conservation optimization can enhance the effectiveness and efficiency of conservation strategies. This approach aims for cost-effective and enduring conservation outcomes by combining system interdependencies with rational decision-making.

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Area of Science:

  • Conservation science
  • Ecology
  • Environmental management

Background:

  • Conservation strategies require both effectiveness and efficiency for success.
  • Resilience thinking and optimization for conservation are policy-relevant but largely separate research areas.
  • Resilience thinking analyzes nonlinear changes and social-ecological system interdependencies.
  • Optimization for conservation provides outcome-oriented tools for resource scarcity and decision-making.

Purpose of the Study:

  • To propose the integration of resilience thinking and optimization for conservation.
  • To leverage the complementary strengths of these two research fields.
  • To promote cost-effective and enduring conservation outcomes.

Main Methods:

  • Conceptual integration of resilience thinking and optimization frameworks.
  • Analysis of how combining these approaches can address conservation challenges.
  • Emphasis on embedding optimization within a resilience-thinking perspective.

Main Results:

  • The proposed integration offers a novel framework for conservation planning.
  • Combining these approaches can lead to more robust and efficient conservation strategies.
  • Synergies between understanding system dynamics and making rational decisions are highlighted.

Conclusions:

  • Integrating resilience thinking and optimization is crucial for advancing conservation science.
  • This combined approach can significantly improve the efficacy and efficiency of conservation efforts.
  • The framework supports evidence-based, transparent, and sustainable conservation practices.