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Measuring ecological niche overlap from occurrence and spatial environmental data
Open accessAbstract
Aim Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight the growing need for robust methods to quantify niche differences between or within taxa. We propose a statistical framework to describe and compare environmental niches from occurrence and spatial environmental data. Location Europe, North America and South America. Methods The framework applies kernel smoothers to densities of species occurrence in gridded environmental space to calculate metrics of niche overlap and test hypotheses regarding niche conservatism. We use this framework and simulated species with pre‐defined distributions and amounts of niche overlap to evaluate several ordination and species distribution modelling techniques for quantifying niche overlap. We illustrate the approach with data on two well‐studied invasive species. Results We show that niche overlap can be accurately detected with the framework when variables driving the distributions are known. The method is robust to known and previously undocumented biases related to the dependence of species occurrences on the frequency of environmental conditions that occur across geographical space. The use of a kernel smoother makes the process of moving from geographical space to multivariate environmental space independent of both sampling effort and arbitrary choice of resolution in environmental space. However, the use of ordination and species distribution model techniques for selecting, combining and weighting variables on which niche overlap is calculated provide contrasting results. Main conclusions The framework meets the increasing need for robust methods to quantify niche differences. It is appropriate for studying niche differences between species, subspecies or intra‐specific lineages that differ in their geographical distributions. Alternatively, it can be used to measure the degree to which the environmental niche of a species or intra‐specific lineage has changed over time.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Hutchinson, G. E. (1957) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1957.022.01.039 · Cited by 6,228
Global analysis of thermal tolerance and latitude in ectotherms
Sunday, J. M., Bates, A. E., & Dulvy, N. K. (2011) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2010.1295 · Cited by 1,300
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Metadata
- Authors
- Broennimann, O., Fitzpatrick, M. C., Pearman, P. B., Petitpierre, B., Pellissier, L., Yoccoz, N. G., Thuiller, W., Fortin, M., Randin, C., Zimmermann, N. E., Graham, C. H., & Guisan, A.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2011-07-29
- Volume
- 21
- Issue
- 4
- Pages
- 481-497
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W2095766166
- Cited by
- 1,728
- References
- 6
- FWCI
- 18.51
- Type
- journal article
- Language
- en
- Open access
- green
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- Broennimann, O., Fitzpatrick, M. C., Pearman, P. B., Petitpierre, B., Pellissier, L., Yoccoz, N. G., Thuiller, W., Fortin, M., Randin, C., Zimmermann, N. E., Graham, C. H., & Guisan, A. (2012). Measuring ecological niche overlap from occurrence and spatial environmental data. Global Ecology and Biogeography. https://doi.org/10.1111/j.1466-8238.2011.00698.x
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