2009
DOI: 10.1525/auk.2009.08155
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Using Spatial Models to Predict Areas of Endemism and Gaps in the Protection of Andean Slope Birds

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Cited by 57 publications
(39 citation statements)
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“…In most cases (70%) we followed a procedure by Young et al (2009) to determine the most current realistic range prediction. We identified the threshold that produced the most reasonable map for the species according to known information and our present understanding of its current distribution (Young et al, 2009).…”
Section: Distribution Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…In most cases (70%) we followed a procedure by Young et al (2009) to determine the most current realistic range prediction. We identified the threshold that produced the most reasonable map for the species according to known information and our present understanding of its current distribution (Young et al, 2009).…”
Section: Distribution Modelingmentioning
confidence: 99%
“…Although these species are of interest for conservation, currently most are threatened by habitat loss, and the occurrences of most species in protected areas in Bolivia and Peru is limited (Hennessey et al, 2003). In fact, critical areas of bird endemism may be only partially covered in these protected areas (Young et al, 2009). These protected areas are also at risk, facing threats that include but are not limited to deforestation (Killeen et al, 2007), roads, mining activities, fires and hydrocarbon projects SERNANP, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Maxent models can perform spatial prediction modeling and estimate the potential geographic distributions of species by merging presence-only data with environmental data. Thus, Maxent has many advantages and is extensively used for predicting potential distributions of plants, animals, insects, nematodes, corals, bryophytes and fungi for many purposes in biogeography, conservation biology and ecology (Phillips and Dudík, 2008;S ergio et al, 2007;Tittensor et al, 2009;Tognelli et al, 2009;Wang et al, 2007;Ward, 2007;Williams et al, 2009;Wollan et al, 2008;Young et al, 2009). …”
Section: Introductionmentioning
confidence: 99%
“…MaxEnt uses presence-only data to predict the likelihood distributions of maximum entropy as the basis for forecasts of potential distributions of species (Young et al, 2009). …”
Section: Species Distribution Modellingmentioning
confidence: 99%