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Updated: Jun 21, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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
Abstract:
Conservation strategies need to be both effective and efficient to be successful. To this end, two bodies of research should be integrated, namely 'resilience thinking' and 'optimisation for conservation,' both of which are highly policy relevant but to date have evolved largely separately. Resilience thinking provides an integrated perspective for analysis, emphasising the potential of nonlinear changes and the interdependency of social and ecological systems. By contrast, optimisation for conservation is an outcome-oriented tool that recognises resource scarcity and the need to make rational and transparent decisions. Here we propose that actively embedding optimisation analyses within a resilience-thinking framework could draw on the complementary strengths of the two bodies of work, thereby promoting cost-effective and enduring conservation outcomes.
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