2018
DOI: 10.1002/eap.1739
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Reserve design to optimize the long‐term persistence of multiple species

Abstract: Protected areas form the cornerstone of global efforts to conserve biodiversity. Most current methods for designing reserve networks focus on maximizing the representation of species, but with no assurance that those species will persist in the protected landscapes into the future. We present a new strategy for reserve design that combines metapopulation theory with spatial conservation prioritization to estimate conservation solutions that minimize extinction risk across numerous species simultaneously. Our f… Show more

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Cited by 14 publications
(12 citation statements)
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“…Such measures are likely to provide insights into landscapes and habitat patches contributions to long‐term population viability (Visconti and Elkin 2009). Such tools are capable of identifying land for reserve designs (Strimas‐Mackey and Brodie 2018) but often still rely on connectivity measures and proxies to determine population dynamics and persistence (Cabeza and Moilanen 2001).…”
Section: Consequences Of Ignoring Demographymentioning
confidence: 99%
“…Such measures are likely to provide insights into landscapes and habitat patches contributions to long‐term population viability (Visconti and Elkin 2009). Such tools are capable of identifying land for reserve designs (Strimas‐Mackey and Brodie 2018) but often still rely on connectivity measures and proxies to determine population dynamics and persistence (Cabeza and Moilanen 2001).…”
Section: Consequences Of Ignoring Demographymentioning
confidence: 99%
“…This analytic approach provides an elegant tool to evaluate species persistence in fragmented, heterogeneous landscapes ( 24 ). The concept of metapopulation capacity has thus been widely adopted in empirical studies and conservation biology ( 25 27 ), and it has motivated new theoretical developments [e.g., predicting how patch network properties and dispersal regimes affect metapopulation capacity and thus species persistence ( 28 30 )].…”
mentioning
confidence: 99%
“…MC, although a relative metric, can be sensitive to the scale of dispersal (Blazquez‐Cabrera et al, 2014 ; Strimas‐Mackey & Brodie, 2018b ). Sensitivity analyses are important but uncommon when reporting the MC metric to understand a network's ability to support the metapopulation relative to dispersal capability.…”
Section: Discussionmentioning
confidence: 99%