C
Catherine H. Graham
Researcher at Stony Brook University
Publications - 162
Citations - 36311
Catherine H. Graham is an academic researcher from Stony Brook University. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 56, co-authored 153 publications receiving 31588 citations. Previous affiliations of Catherine H. Graham include Instituto Nacional de Biodiversidad & Goethe University Frankfurt.
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Journal ArticleDOI
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
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Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
Steven J. Phillips,Miroslav Dudík,Jane Elith,Catherine H. Graham,Anthony Lehmann,John R. Leathwick,Simon Ferrier +6 more
TL;DR: It is argued that increased awareness of the implications of spatial bias in surveys, and possible modeling remedies, will substantially improve predictions of species distributions and as large an effect on predictive performance as the choice of modeling method.
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The effect of sample size and species characteristics on performance of different species distribution modeling methods
TL;DR: Maxent was the most capable of the four modeling methods in producing useful results with sample sizes as small as 5, 10 and 25 occurrences, a result that should encourage conservationists to add distribution modeling to their toolbox.
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Niche Conservatism: Integrating Evolution, Ecology, and Conservation Biology
TL;DR: This work describes how niche conservatism in climatic tolerances may limit geographic range expansion and how this one type of niche conservatism may be important in allopatric speciation and the spread of invasive, human-introduced species.
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Effects of sample size on the performance of species distribution models
TL;DR: In this article, a broad suite of algorithms with independent presence-absence data from multiple species and regions were evaluated for 46 species (from six different regions of the world) at three sample sizes (100, 30 and 10 records).