2017
DOI: 10.1371/journal.pone.0173041
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Using landscape habitat associations to prioritize areas of conservation action for terrestrial birds

Abstract: Predicting species distributions has long been a valuable tool to plan and focus efforts for biodiversity conservation, particularly because such an approach allows researchers and managers to evaluate species distribution changes in response to various threats. Utilizing data from a long-term monitoring program and land cover data sets, we modeled the probability of occupancy and colonization for 38 bird Species of Greatest Conservation Need (SGCN) in the robust design occupancy modeling framework, and used r… Show more

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Cited by 17 publications
(10 citation statements)
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“…Diversity of birds has been shown to relate to trees on a landscape in addition to territory-level habitat characteristics. To account for this, we calculated % tree cover in a 1-km radius with the UMD Forest Cover dataset [39] given evidence birds respond at this distance [40,41]. We started with the % Tree Cover Raster from the year 2000, reclassified all “forest loss” pixels in the 2017 Forest Loss Raster as 0% tree cover, and reclassified all “forest gain” pixels in the 2014 Forest Gains raster as 30% tree cover using the “Raster Calculator” tool in ArcGIS 10.5.…”
Section: Methodsmentioning
confidence: 99%
“…Diversity of birds has been shown to relate to trees on a landscape in addition to territory-level habitat characteristics. To account for this, we calculated % tree cover in a 1-km radius with the UMD Forest Cover dataset [39] given evidence birds respond at this distance [40,41]. We started with the % Tree Cover Raster from the year 2000, reclassified all “forest loss” pixels in the 2017 Forest Loss Raster as 0% tree cover, and reclassified all “forest gain” pixels in the 2014 Forest Gains raster as 30% tree cover using the “Raster Calculator” tool in ArcGIS 10.5.…”
Section: Methodsmentioning
confidence: 99%
“…Weather conditions affect detectability of birds (Zuckerberg et al, 2011; Hovick, Elmore & Fuhlendorf, 2014; Sliwinski et al, 2016). During each survey, we recorded cloud cover (clear, partly cloudy or cloudy) and temperature (cold, cool, warm or hot), together with wind conditions (calm, moderate or strong) (Harms et al, 2017). Because of our small data set, we wanted to reduce these weather covariates into a single variable representing observability.…”
Section: Methodsmentioning
confidence: 99%
“…Understanding where species occur, and why individuals occur in some areas but not others, is essential for developing conservation or management plans, especially for rare (Rabinowitz 1981) or endangered taxa (Rushton et al 2004, Muñoz et al 2005, Guisan et al 2013, Harms et al 2017. Spatial distribution of a species is largely shaped by environmental heterogeneity, including variation in climate, land cover, natural disturbance history, and biotic interactions, together with constraints provided by species dispersal ability (MacArthur 1972, Block and Brennan 1993, Castro et al 2008, Chen et al 2011.…”
Section: Introductionmentioning
confidence: 99%