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While the importance of spatial scale in ecology is well established, few studies have investigated the impact of data grain on conservation planning outcomes. In this study, authors compared species richness hotspot and representation networks developed at five grain sizes. Authors used species distribution maps for mammals and birds developed by the Arizona and New Mexico Gap Analysis Programs (GAP) to produce l-km2, 100-km2, 62-km2, 2500-km2., and 10000-km2 grid cell resolution distribution maps. Authors used these distribution maps to generate species richness and hotspot (95th quantile) maps for each taxon in each state. Species composition information at each grain size was used to develop two types of representation networks using the reserve selection software MARXAN.
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