The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The importance of biotic interactions for modelling species distributions under climate change
Abstract
Aim There is a debate as to whether biotic interactions exert a dominant role in governing species distributions at macroecological scales. The prevailing idea is that climate is the key limiting factor; thus models that use present‐day climate–species range relationships are expected to provide reasonable means to quantify the impacts of climate change on species distributions. However, there is little empirical evidence that biotic interactions would not constrain species distributions at macroecological scales. We examine this idea, for the first time, and provide tests for two null hypotheses: ( H 0 1) – biotic interactions do not exert a significant role in explaining current distributions of a particular species of butterfly (clouded Apollo, Parnassius mnemosyne ) in Europe; and ( H 0 2) – biotic interactions do not exert a significant role in predictions of altered species’ ranges under climate change. Location Europe. Methods Generalized additive modelling (GAM) was used to investigate relationships between species and climate; species and host plants; and species and climate + host plants. Because models are sensitive to the variable selection strategies utilised, four alternative approaches were used: AIC (Akaike's Information Criterion), BIC (Bayesian Information Criterion), BRUTO (Adaptive Backfitting), and CROSS (Cross Selection). Results In spite of the variation in the variables selected with different methods, both hypotheses ( H 0 1 and H 0 2) were falsified, providing support for the proposition that biotic interactions significantly affect both the explanatory and predictive power of bioclimatic envelope models at macro scales. Main conclusions Our results contradict the widely held view that the effects of biotic interactions on individual species distributions are not discernible at macroecological scales. Results are contingent on the species, type of interaction and methods considered, but they call for more stringent evidence in support of the idea that purely climate‐based modelling would be sufficient to quantify the impacts of climate change on species distributions.
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Cites
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
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
Pearson, R. G., & Dawson, T. P. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00042.x · Cited by 4,252
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
COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD-GROWTH INDIGENOUS FORESTS
Leathwick, J. R., & Austin, M. P. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[2560:cibtsi]2.0.co;2 · Cited by 243
Cited by
Wisz, M. S., Pottier, J., Kissling, W. D., Pellissier, L., Lenoir, J., Damgaard, C. F., Dormann, C. F., Forchhammer, M. C., Grytnes, J., Guisan, A., et al. (2013) · Biological Reviews · doi:10.1111/j.1469-185x.2012.00235.x · Cited by 1,769
Self-citationAdapt or disperse: understanding species persistence in a changing world
BERG, M. P., KIERS, E. T., DRIESSEN, G., Van Der HEIJDEN, M., KOOI, B. W., KUENEN, F., LIEFTING, M., VERHOEF, H. A., & ELLERS, J. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.02014.x · Cited by 616
Predicting changes in the distribution and abundance of species under environmental change
Ehrlén, J., & Morris, W. F. (2015) · Ecology Letters · doi:10.1111/ele.12410 · Cited by 490
Joint Species Distribution Modelling: With Applications in R
Ovaskainen, O., & Abrego, N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108591720 · Cited by 394
Birks, H. J. B. (2011) · The Open Ecology Journal · doi:10.2174/1874213001003020068 · Cited by 389
Metadata
- Authors
- Araújo, M. B., & Luoto, M.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2007-09-20
- Volume
- 16
- Issue
- 6
- Pages
- 743-753
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W2117581352
- Cited by
- 1,213
- References
- 5
- FWCI
- 26.51
- 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).
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