Data from: Conservation under uncertainty: optimal network protection strategies for worst-case disturbance events

Miguel A. Acevedo, Jorge A. Sefair, J. Cole Smith, , Brian Reichert & Robert J. Fletcher
1. Conservation goals are ideally set after a thorough understanding of potential threats; however, predicting future spatial patterns of threats, such as disturbance, remains challenging. Here, we develop a novel extension of network fortification-interdiction models (NFIM) that deals with uncertainty in future spatial patterns of disturbance by optimally selecting sites that will best mitigate a worst-case scenario for a given magnitude of disturbance. 2. This approach uses information on between-patch movement probabilities and patch-specific survival,...
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