2002
DOI: 10.1073/pnas.162064899
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Extinction rates under nonrandom patterns of habitat loss

Abstract: Most models that examine the effects of habitat conversion on species extinctions assume that habitat conversion occurs at random. This assumption allows predictions about extinction rates based on the species-area relationship. We show that the spatially aggregated nature of habitat conversion introduces a significant bias that may lead species-loss rates to exceed those predicted by species-area curves. Correlations between human activity and major compositional gradients, or species richness, also alter pre… Show more

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Cited by 142 publications
(156 citation statements)
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References 47 publications
(62 reference statements)
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“…However, the spatial sampling effect of small reserves depends on the segregation of species niches along those environmental gradients and thus depends on spatial autocorrelation in environmental niche axes. Authors have previously argued that many small reserves should have greater spatial sampling of species (Simberloff and Abele 1976) and that habitat preservation with low spatial autocorrelation better samples g richness than a few large reserves (Seabloom et al 2002). Likewise, the use of complementarity indices to maximize g richness in reserves often prioritizes a large number of fragmented reserves (Margules and Pressey 2000;Economo 2011).…”
Section: Discussionmentioning
confidence: 99%
“…However, the spatial sampling effect of small reserves depends on the segregation of species niches along those environmental gradients and thus depends on spatial autocorrelation in environmental niche axes. Authors have previously argued that many small reserves should have greater spatial sampling of species (Simberloff and Abele 1976) and that habitat preservation with low spatial autocorrelation better samples g richness than a few large reserves (Seabloom et al 2002). Likewise, the use of complementarity indices to maximize g richness in reserves often prioritizes a large number of fragmented reserves (Margules and Pressey 2000;Economo 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Given the complexities of land use, that degree of explanatory power is relatively high. Other similarly designed and analyzed studies (e.g., Seabloom et al, 2002) also obtained two meaningful CCA axes, one dominated by agricultural land use and a second dominated by population density and urban land use. Although our sample size is relatively low for this type of analysis (33 subregions), this study is the first of its kind at this spatial scale in the Neotropics.…”
Section: Discussionmentioning
confidence: 78%
“…These factors were chosen based on their known direct or indirect effects on habitat loss in other regions in temperate or tropical countries (Southgate et al, 1991;Laurance et al, 2001;Seabloom et al, 2002;Lambin et al, 2003 and references therein).…”
Section: Biophysical Characteristics Ofsubregionsmentioning
confidence: 99%
“…LULC composition and change has already been linked to water quality declines (Foley et al, 2005), climate change at regional and global scales (Bonan, 1997, Lawrence & Chase, 2010Pielke et al, 1999Pielke et al, , 2002Pitman et al, 2011), carbon dioxide emissions (Houghton & Hackler, 2001), habitat loss (Seabloom, Dobson, & Stoms, 2002;Soule, 2001), species extinction (Davies et al, 2006), and declining air quality (Romero, Ihl, Rivera, Zalazar, & Azocar, 1999;Ross et al, 2006 between policy decisions, regulatory actions, and land use (Hostert et al, 2011;Lunetta, Knight, Ediriwickrema, Lyon, & Worthy, 2006). Continuous LULCC monitoring allows researchers to draw connections between land change and variables such as carbon storage, watershed protection, and other ecosystem services -information essential for the management of natural and anthropogenic resources.…”
Section: Resultsmentioning
confidence: 99%