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Reserve design to optimize functional connectivity and animal density

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Author(s)

Amrita Gupta, Bistra Dilkina, Dana J. Morin, Angela K. Fuller, J. Andrew Royle, Christopher Sutherland, Carla P. Gomes

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Abstract

Ecological distance-based spatial capture–recapture models (SCR) are a promising approach for simultaneously estimating animal density and connectivity, both of which affect spatial population processes and ultimately species persistence. We explored how SCR models can be integrated into reserve-design frameworks that explicitly acknowledge both the spatial distribution of individuals and their space use resulting from landscape structure. We formulated the design of wildlife reserves as a budget-constrained optimization problem and conducted a simulation to explore 3 different SCR-informed optimization objectives that prioritized different conservation goals by maximizing the number of protected individuals, reserve connectivity, and density-weighted connectivity. We also studied the effect on our 3 objectives of enforcing that the space-use requirements of individuals be met by the reserve for individuals to be considered conserved (referred to as home-range constraints). Maximizing local population density resulted in fragmented reserves that would likely not aid long-term population persistence, and maximizing the connectivity objective yielded reserves that protected the fewest individuals. However, maximizing density-weighted connectivity or preemptively imposing home-range constraints on reserve design yielded reserves of largely spatially compact sets of parcels covering high-density areas in the landscape with high functional connectivity between them. Our results quantify the extent to which reserve design is constrained by individual home-range requirements and highlight that accounting for individual space use in the objective and constraints can help in the design of reserves that balance abundance and connectivity in a biologically relevant manner.

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Original languageEnglish
Pages (from-to)1023-1034
Number of pages12
JournalConservation Biology
Volume33
Issue number5
DOIs
Publication statusPublished - 1 Oct 2019

    Research areas

  • captura-recaptura espacial, conectividad funcional, conservación de la conectividad, connectivity conservation, conservation planning, diseño de reservas, functional connectivity, integer linear programing, mathematical optimization, optimización matemática, planeación de la conservación, programación entera lineal, reserve design, spatial capture–recapture

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