Journal article
PRESENCE-ONLY AND PRESENCE-ABSENCE DATA FOR COMPARING SPECIES DISTRIBUTION MODELING METHODS
Jane Elith, Catherine Graham, Roozbeh Valavi, Meinrad Abegg, Caroline Bruce, Andrew Ford, Antoine Guisan, Robert J Hijmans, Falk Huettmann, Lucia Lohmann, Bette Loiselle, Craig Moritz, Jake Overton, A Townsend Peterson, Steven Phillips, Karen Richardson, Stephen Williams, Susan K Wiser, Thomas Wohlgemuth, Niklaus E Zimmermann Show all
BIODIVERSITY INFORMATICS | UNIV KANSAS, NATURAL HISTORY MUSEUM & BIODIVERSITY RESEARCH CTR | Published : 2020
Open access
Abstract
Species distribution models (SDMs) are widely used to predict and study distributions of species. Many different modeling methods and associated algorithms are used and continue to emerge. It is important to understand how different approaches perform, particularly when applied to species occurrence records that were not gathered in structured surveys (e.g. opportunistic records). This need motivated a large-scale, collaborative effort, published in 2006, that aimed to create objective comparisons of algorithm performance. As a benchmark, and to facilitate future comparisons of approaches, here we publish that dataset: point location records for 226 anonymized species from six regions of th..
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Awarded by National Centre for Ecological Analysis and Synthesis, Santa Barbara, California
Funding Acknowledgements
The working group "Testing alternative methodologies for modeling species' ecological niches and predicting geographic distributions" (project ID: 4980) was central to this project, funded and hosted by the National Centre for Ecological Analysis and Synthesis, Santa Barbara, California.