2016
DOI: 10.1111/conl.12322
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Informing Strategic Efforts to Expand and Connect Protected Areas Using a Model of Ecological Flow, with Application to the Western United States

Abstract: Under rapid landscape change, there is a significant need to expand and connect protected areas (PAs) to prevent further loss of biodiversity and preserve ecological functions across broad geographies. We used a model of landscape resistance and electronic circuit theory to estimate patterns of ecological flow among existing PAs in the western United States. We applied these results to areas previously identified as having high conservation value to distinguish those best positioned to maintain and enhance eco… Show more

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Cited by 73 publications
(76 citation statements)
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“…Similar to other global threat datasets, it was designed to assess macro-ecological patterns resulting from human stressors at broad spatial extents (e.g., across countries, ecoregions, biomes as done in our analysis and others) (Geldmann et al, 2014;Halpern et al, 2008;Venter et al, 2016). It can also be used to prioritize where more refined landscape assessments are needed to evaluate resource condition, spatial structure, and connectivity (Dickson et al, 2017;McGuire, Lawler, Mcrae, Nuñez, & Theobald, 2016;Perkl, 2017).…”
Section: Data Availabilitymentioning
confidence: 99%
“…Similar to other global threat datasets, it was designed to assess macro-ecological patterns resulting from human stressors at broad spatial extents (e.g., across countries, ecoregions, biomes as done in our analysis and others) (Geldmann et al, 2014;Halpern et al, 2008;Venter et al, 2016). It can also be used to prioritize where more refined landscape assessments are needed to evaluate resource condition, spatial structure, and connectivity (Dickson et al, 2017;McGuire, Lawler, Mcrae, Nuñez, & Theobald, 2016;Perkl, 2017).…”
Section: Data Availabilitymentioning
confidence: 99%
“…This follows a similar approach taken by Dickson et al (2017), but also assumes that conductance declines more rapidly with increasing slope, and that tortoises will tend to (but not always) avoid very steep slopes. For average movement habitat quality values, the penalty becomes most severe at approximately 30% slope.…”
Section: Spatial Prediction Of Movement Habitat Qualitymentioning
confidence: 99%
“…Our method for defining starting and ending points contrasts with other approaches used in large-scale connectivity studies, which either consider each habitat patch or protected area as a single node (Belote et al, 2016;Dickson et al, 2016;Theobald et al, 2012) or model connectivity between nodes situated along opposite boundaries of the study extent (Gray & Dickson, 2015;Koen, Bowman, Sadowski, & Walpole, 2014;Pelletier et al, 2014). The first approach was not well suited to our analysis because we were interested in characterizing connectivity within large core areas (which requires multiple nodes within a core) as well as between core areas.…”
Section: Discussionmentioning
confidence: 99%
“…Typically, the effects of multiple factors that influence movement (e.g., cover type, topography, proximity to human development) are incorporated into resistance surfaces, and the final resistance surface is a pixel-by-pixel map of the landscape's relative resistance (i.e., unsuitability) to animal movement, with larger pixel values indicating greater resistance. This approach assumes that areas of greater naturalness are more likely to support ecological processes and function as animal movement routes and has been used in previous connectivity studies (e.g., Belote et al, 2016;Dickson et al, 2016;Theobald, Reed, Fields, & Soulé, 2012). Because we modeled generic species, detailed empirical data (e.g., genetic data or point locations from GPS telemetry studies) were not available to develop appropriate resistance surfaces.…”
Section: Developing the Resistance Surfacementioning
confidence: 99%
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