Related Experiment Video
Updated: Apr 28, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Inclusion of costs in conservation planning depends on limited datasets and hopeful assumptions
1Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee.
Abstract:
Many conservation organizations use spatial prioritization to help identify locations in which to work. Increasingly, prioritizations seek to account for spatial heterogeneity in the costs of conservation, motivated in part by claims of large efficiency savings when these costs are included. I critically review the cost estimates on which such claims are based, focusing on acquisition and management costs associated with terrestrial protected areas. If researchers are to evaluate how including costs affects conservation planning outcomes, estimation methods need to preserve the covariation between and relative variation within costs and benefits of conservation activities. However, widely used methods for estimating costs and incorporating them into prioritizations may not meet these standards. For example, among relevant studies, there is surprisingly little attention given to the costs that conservation organizations actually face. Instead, there is a heavy reliance on untested proxies for conservation costs. Analytical shortcuts are also common. Now that debate is moving beyond whether to account for costs in conservation planning, it is time to evaluate just how we can include them to greatest effect.
More Related Videos
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
Related Concept Videos
Habitat Fragmentation
Conservation of Small Populations
What is Conservation Biology?
Conservation of Declining Populations
Energy Budgets
Optimal Foraging