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K. Willis (2007)
The ability of climate envelope models to predict the effect of climate change on species distributions
Jorge Soberón, A. Peterson (2005)
INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREASBiodiversity Informatics, 2
Steven Phillips, Miroslav Dudík (2008)
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Larivière Larivière (2001)
Ursus americanusMammalian Species, 647
M. Araújo, A. Guisan (2006)
Five (or so) challenges for species distribution modellingJournal of Biogeography, 33
Steven Phillips, R. Anderson, R. Schapire (2006)
Maximum entropy modeling of species geographic distributionsEcological Modelling, 190
Larry Speers, A. Chapman (2005)
© 2005, Global Biodiversity Information Facility Material in this publication is free to use, with proper attribution. Recommended citation format: Chapman, A. D. 2005. Principles of Data Quality, version 1.0. Report for the Global Biodiversity Information Facility, Copenhagen.
(2007)
Sasquatch: legend meets science
C. Graham, C. Graham, S. Ferrier, Falk Huettman, C. Moritz, A. Peterson (2004)
New developments in museum-based informatics and applications in biodiversity analysis.Trends in ecology & evolution, 19 9
M. Araújo, M. Luoto (2007)
The importance of biotic interactions for modelling species distributions under climate changeGlobal Ecology and Biogeography, 16
C. Kremen, C. Kremen, A. Cameron, A. Cameron, A. Moilanen, Steven Phillips, C. Thomas, H. Beentje, J. Dransfield, B. Fisher, F. Glaw, T. Good, G. Harper, R. Hijmans, D. Lees, E. Louis, R. Nussbaum, C. Raxworthy, A. Razafimpahanana, G. Schatz, M. Vences, D. Vieites, P. Wright, M. Zjhra (2008)
Aligning Conservation Priorities Across Taxa in Madagascar with High-Resolution Planning ToolsScience, 320
Hijmans Hijmans, Cameron Cameron, Parra Parra, Jones Jones, Jarvis Jarvis (2005)
Very high resolution interpolated climate surfaces for global land areasInternational Journal of Climatology, 25
S. Loarie, Benjamin Carter, K. Hayhoe, S. McMahon, R. Moe, C. Knight, D. Ackerly (2008)
Climate Change and the Future of California's Endemic FloraPLoS ONE, 3
A. Peterson (2006)
Uses and requirements of ecological niche models and related distributional modelsBiodiversity Informatics, 3
D. Coltman, C. Davis (2006)
Molecular cryptozoology meets the Sasquatch.Trends in ecology & evolution, 21 2
Jorge Soberón, Townsend Peterson (2004)
Biodiversity informatics: managing and applying primary biodiversity data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 359 1444
A. Jiménez‐Valverde, J. Lobo, J. Hortal (2008)
Not as good as they seem: the importance of concepts in species distribution modellingDiversity and Distributions, 14
B. Carstens, C. Richards (2007)
INTEGRATING COALESCENT AND ECOLOGICAL NICHE MODELING IN COMPARATIVE PHYLOGEOGRAPHY, 61
M. Milinkovitch, Aldagisa Caccone, G. Amato (2004)
Molecular phylogenetic analyses indicate extensive morphological convergence between the "yeti" and primates.Molecular phylogenetics and evolution, 31 1
(2005)
Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/joc.1276 VERY HIGH RESOLUTION INTERPOLATED CLIMATE SURFACES FOR GLOBAL LAND AREAS
V. Rull, T. Vegas-Vilarrúbia (2006)
Unexpected biodiversity loss under global warming in the neotropical Guayana Highlands: a preliminary appraisalGlobal Change Biology, 12
J. Wiens, C. Graham (2005)
Niche Conservatism: Integrating Evolution, Ecology, and Conservation BiologyAnnual Review of Ecology, Evolution, and Systematics, 36
R. Pearson, W. Thuiller, M. Araújo, E. Martínez‐Meyer, L. Brotóns, C. McClean, L. Miles, P. Segurado, T. Dawson, D. Lees (2006)
Model‐based uncertainty in species range predictionJournal of Biogeography, 33
D. Warren, R. Glor, M. Turelli (2008)
Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution, 62
A. Guisan, C. Graham, J. Elith, F. Huettmann (2007)
Sensitivity of predictive species distribution models to change in grain sizeDiversity and Distributions, 13
The availability of user‐friendly software and publicly available biodiversity databases has led to a rapid increase in the use of ecological niche modelling to predict species distributions. A potential source of error in publicly available data that may affect the accuracy of ecological niche models (ENMs), and one that is difficult to correct for, is incorrect (or incomplete) taxonomy. Here we remind researchers of the need for careful evaluation of database records prior to use in modelling, especially when the presence of cryptic species is suspected or many records are based on indirect evidence. To draw attention to this potential problem, we construct ENMs for the North American Sasquatch (i.e. Bigfoot). Specifically, we use a large database of georeferenced putative sightings and footprints for Sasquatch in western North America, demonstrating how convincing environmentally predicted distributions of a taxon’s potential range can be generated from questionable site‐occurrence data. We compare the distribution of Bigfoot with an ENM for the black bear, Ursus americanus, and suggest that many sightings of this cryptozoid may be cases of mistaken identity.
Journal of Biogeography – Wiley
Published: Sep 1, 2009
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