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

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

Published on: December 9, 2012

Setting conservation priorities.

Kerrie A Wilson¹, Josie Carwardine, Hugh P Possingham

¹The University of Queensland, School of Integrative Biology, St. Lucia, Queensland, Australia. k.wilson2@uq.edu.au

Annals of the New York Academy of Sciences

|May 13, 2009

Summary

This summary is machine-generated.

A new decision theory framework aids conservation priority setting by integrating objectives, constraints, and system knowledge. It emphasizes including conservation actions alongside asset and location prioritization for effective resource allocation.

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Area of Science:

Conservation Science
Decision Theory
Resource Management

Background:

Setting conservation priorities is complex, involving multiple objectives and constraints.
Existing approaches often focus on assets or locations, neglecting crucial conservation actions.
Challenges include temporal and spatial heterogeneity in threats and costs.

Purpose of the Study:

To present a generic decision theory framework for setting conservation priorities.
To review and integrate various priority-setting approaches within this framework.
To highlight the necessity of including conservation actions in prioritization.

Main Methods:

Development of a generic framework based on decision theory principles.
Review and synthesis of existing conservation priority-setting methods.
Application of the framework to integrate multiple criteria and scheduling of investments.

Main Results:

The framework incorporates objectives, constraints, and system knowledge.
Prioritization is incomplete without considering specific conservation actions.
The framework facilitates rational integration of multiple criteria for investment scheduling.
Trade-offs, risks, uncertainty, feedbacks, and learning can be explicitly evaluated.

Conclusions:

A comprehensive framework is essential for effective conservation priority setting.
Integrating conservation actions into prioritization is critical for success.
The proposed framework offers improvements for current priority-setting approaches.