The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Predicting the Geography of Species’ Invasions via Ecological Niche Modeling
Open accessAbstract
Species' invasions have long been regarded as enormously complex processes, so complex as to defy predictivity. Phases of this process, however, are emerging as highly predictable: the potential geographic course of an invasion can be anticipated with high precision based on the ecological niche characteristics of a species in its native geographic distributional area. This predictivity depends on the premise that ecological niches constitute long-term stable constraints on the potential geographic distributions of species, for which a sizeable body of evidence is accumulating. Hence, although the entire invasion process is indeed complex, the geographic course that invasions are able to take can be anticipated with considerable confidence.
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Cites
Ecological responses to recent climate change.
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J.-M., Hoegh-Guldberg, O., & Bairlein, F. (2002) · Nature · doi:10.1038/416389a · Cited by 9,975
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Consequences of changing biodiversity
Chapin III, F. S., Zavaleta, E. S., Eviner, V. T., Naylor, R. L., Vitousek, P. M., Reynolds, H. L., Hooper, D. U., Lavorel, S., Sala, O. E., Hobbie, S. E., et al. (2000) · Nature · doi:10.1038/35012241 · Cited by 4,282
Cited by
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
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
Habitat suitability modelling and niche theory
Hirzel, A. H., & Le Lay, G. (2008) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2008.01524.x · Cited by 873
Machine Learning Methods Without Tears: A Primer for Ecologists
Olden, J. D., Lawler, J. J., & Poff, N. L. (2008) · The Quarterly Review of Biology · doi:10.1086/587826 · Cited by 823
Hutchinson's duality: The once and future niche
Colwell, R. K., & Rangel, T. F. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901650106 · Cited by 769
Metadata
- Authors
- Peterson, A. T.
- Venue
- The Quarterly Review of Biology
- Publisher
- University of Chicago Press
- Published
- 2003-12
- Volume
- 78
- Issue
- 4
- Pages
- 419-433
- ISSN
- 0033-5770 (ISSN-L)
- 1539-7718
- OpenAlex
- W2136017883
- Cited by
- 1,141
- References
- 3
- FWCI
- 15.78
- Type
- journal article
- Language
- en
- Open access
- bronze
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