bioRxivEcology
Utilizing multi-objective decision support tools for protected area selection
A. Voskamp, S. A. Fritz, V. Koecke, M. Biber, T. Nogueira-Brockmeyer, B. Bertzky, M. Forrest, A. Goldstein, S. Henderson, T. Hickler, C. Hof, T. Kastner, S. Lang, P. Manning, M. B. Mascia, I. R. McFadden, A. Niamir, M. Noon, B. O'Donell, M. Opel, G. Schwede, P. West, C. Schenck, K. Boehning-Gaese
Abstract
The establishment and maintenance of protected areas (PAs) is viewed as a key action in delivering post-2020 biodiversity targets. PAs often need to meet multiple objectives, ranging from biodiversity protection to ecosystem service provision and climate change mitigation, but available land and conservation funding is limited. Therefore, optimizing resources by selecting the most beneficial PAs is vital. Here, we advocate for a flexible and transparent approach to selecting protected areas based on multiple objectives, and illustrate this with a decision support tool on a global scale. The tool allows weighting and prioritization of different conservation objectives according to user-specified preferences, as well as real-time comparison of the selected areas that result from such different priorities. We apply the tool across 1347 terrestrial PAs and highlight frequent trade-offs among different objectives, e.g., between species protection and ecosystem integrity. Outputs indicate that decision makers frequently face trade-offs among conflicting objectives. Nevertheless, we show that transparent decision-support tools can reveal synergies and trade-offs associated with PA selection, thereby helping to illuminate and resolve land-use conflicts embedded in divergent societal and political demands and values.
- research focus: ecology & biodiversity
- research focus: benchmarking
- research focus: database / resource
- approach: deep learning
- approach: statistical model
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