Related Experiment Video
Updated: Jun 5, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Setting conservation priorities in multi-actor systems
Christopher J O'Bryan1, Jonathan R Rhodes1, Olusegun O Osunkoya2
1School of Earth and Environmental Sciences and the Centre for Biodiversity and Conservation Science, University of Queensland, Brisbane, Queensland, Australia.
Abstract:
Nature conservation is underresourced, requiring managers to prioritize where, when, and how to spend limited funds. Prioritization methods identify the subset of actions that provide the most benefit to an actor's objective. However, spending decisions by conservation actors are often misaligned with their objectives. Although this misalignment is frequently attributed to poor choices by the actors, we argue that it can also be a byproduct of working alongside other organizations. Using strategic analyses of multi-actor systems in conservation, we show how interactions among multiple conservation actors can create misalignment between the spending and objectives of individual actors and why current uncoordinated prioritizations lead to fewer conservation objectives achieved for individual actors. We draw three conclusions from our results. First, that misalignment is an unsuitable metric for evaluating spending, because it may be necessary to achieve actors' objectives. Second, that current prioritization methods cannot identify optimal decisions (as they purport to do), because they do not incorporate other actors' decisions. Third, that practical steps can be taken to move actors in the direction of coordination and thereby better achieve their conservation objectives.
Related Concept Videos
Conservation of Small Populations
Conservation of Declining Populations
Multi-input and Multi-variable systems
In the absence...
Conservation of Momentum: Problem Solving
Conservation of Energy in Control Volume
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
Conservation of Energy: Application

