The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Five (or so) challenges for species distribution modelling
Abstract
Species distribution modelling is central to both fundamental and applied research in biogeography. Despite widespread use of models, there are still important conceptual ambiguities as well as biotic and algorithmic uncertainties that need to be investigated in order to increase confidence in model results. We identify and discuss five areas of enquiry that are of high importance for species distribution modelling: (1) clarification of the niche concept; (2) improved designs for sampling data for building models; (3) improved parameterization; (4) improved model selection and predictor contribution; and (5) improved model evaluation. The challenges discussed in this essay do not preclude the need for developments of other areas of research in this field. However, they are critical for allowing the science of species distribution modelling to move forward.
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Cites
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The Elements of Statistical Learning
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Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
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Selecting thresholds of occurrence in the prediction of species distributions
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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
Self-citationMac Nally, R. (2002) · Biodiversity & Conservation · doi:10.1023/a:1016250716679 · Cited by 554
COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD-GROWTH INDIGENOUS FORESTS
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Cited by
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Elith, J., & Leathwick, J. R. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.110308.120159 · Cited by 6,707
BIOMOD – a platform for ensemble forecasting of species distributions
Thuiller, W., Lafourcade, B., Engler, R., & Araújo, M. B. (2009) · Ecography · doi:10.1111/j.1600-0587.2008.05742.x · Cited by 2,749
Self-citationMuscarella, 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
Novel climates, no‐analog communities, and ecological surprises
Williams, J. W., & Jackson, S. T. (2007) · Frontiers in Ecology and the Environment · doi:10.1890/070037 · Cited by 1,736
Making better M axent models of species distributions: complexity, overfitting and evaluation
Radosavljevic, A., & Anderson, R. P. (2014) · Journal of Biogeography · doi:10.1111/jbi.12227 · Cited by 1,723
Metadata
- Authors
- Araújo, M. B., & Guisan, A.
- Venue
- Journal of Biogeography
- Publisher
- Wiley
- Published
- 2006-08-22
- Volume
- 33
- Issue
- 10
- Pages
- 1677-1688
- ISSN
- 0305-0270 (ISSN-L)
- 1365-2699
- OpenAlex
- W2154160829
- Cited by
- 1,901
- References
- 9
- FWCI
- 33.30
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
