The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Uses and misuses of bioclimatic envelope modeling
Abstract
Bioclimatic envelope models use associations between aspects of climate and species' occurrences to estimate the conditions that are suitable to maintain viable populations. Once bioclimatic envelopes are characterized, they can be applied to a variety of questions in ecology, evolution, and conservation. However, some have questioned the usefulness of these models, because they may be based on implausible assumptions or may be contradicted by empirical evidence. We review these areas of contention, and suggest that criticism has often been misplaced, resulting from confusion between what the models actually deliver and what users wish that they would express. Although improvements in data and methods will have some effect, the usefulness of these models is contingent on their appropriate use, and they will improve mainly via better awareness of their conceptual basis, strengths, and limitations.
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
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The art of modelling range-shifting species: The art of modelling range-shifting species
Elith, J., Kearney, M., & Phillips, S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00036.x · Cited by 2,813
Selecting thresholds of occurrence in the prediction of species distributions
Liu, C., Berry, P. M., Dawson, T. P., & Pearson, R. G. (2005) · Ecography · doi:10.1111/j.0906-7590.2005.03957.x · Cited by 2,701
Global Warming, Elevational Range Shifts, and Lowland Biotic Attrition in the Wet Tropics
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Equilibrium of species’ distributions with climate
Araújo, M. B., & Pearson, R. G. (2005) · Ecography · doi:10.1111/j.2005.0906-7590.04253.x · Cited by 665
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Cited by
Merow, C., Smith, M. J., & Silander, J. A. (2013) · Ecography · doi:10.1111/j.1600-0587.2013.07872.x · Cited by 3,392
Muscarella, R., Galante, P. J., Soley‐Guardia, M., Boria, R. A., Kass, J. M., Uriarte, M., & Anderson, R. P. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12261 · Cited by 1,962
Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right
Peterson, A. T., & Soberón, J. (2012) · Natureza & Conservação · doi:10.4322/natcon.2012.019 · Cited by 702
Self-citationQuantitative Imaging in Cancer Evolution and Ecology
Gatenby, R. A., Grove, O., & Gillies, R. J. (2013) · Radiology · doi:10.1148/radiol.13122697 · Cited by 515
Fourcade, Y., Besnard, A. G., & Secondi, J. (2018) · Global Ecology and Biogeography · doi:10.1111/geb.12684 · Cited by 500
Metadata
- Authors
- Araújo, M. B., & Peterson, A. T.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2012-07
- Volume
- 93
- Issue
- 7
- Pages
- 1527-1539
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2100226004
- Cited by
- 1,097
- References
- 7
- FWCI
- 49.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.