The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Long‐distance gene flow and adaptation of forest trees to rapid climate change
Open accessAbstract
Ecology Letters (2012) 15: 378–392 Forest trees are the dominant species in many parts of the world and predicting how they might respond to climate change is a vital global concern. Trees are capable of long‐distance gene flow, which can promote adaptive evolution in novel environments by increasing genetic variation for fitness. It is unclear, however, if this can compensate for maladaptive effects of gene flow and for the long‐generation times of trees. We critically review data on the extent of long‐distance gene flow and summarise theory that allows us to predict evolutionary responses of trees to climate change. Estimates of long‐distance gene flow based both on direct observations and on genetic methods provide evidence that genes can move over spatial scales larger than habitat shifts predicted under climate change within one generation. Both theoretical and empirical data suggest that the positive effects of gene flow on adaptation may dominate in many instances. The balance of positive to negative consequences of gene flow may, however, differ for leading edge, core and rear sections of forest distributions. We propose future experimental and theoretical research that would better integrate dispersal biology with evolutionary quantitative genetics and improve predictions of tree responses to climate change.
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Cites
The velocity of climate change
Loarie, S. R., Duffy, P. B., Hamilton, H., Asner, G. P., Field, C. B., & Ackerly, D. D. (2009) · Nature · doi:10.1038/nature08649 · Cited by 2,534
Conserving biodiversity under climate change: the rear edge matters
Hampe, A., & Petit, R. J. (2005) · Ecology Letters · doi:10.1111/j.1461-0248.2005.00739.x · Cited by 2,234
Adaptation, migration or extirpation: climate change outcomes for tree populations
Aitken, S. N., Yeaman, S., Holliday, J. A., Wang, T., & Curtis‐McLane, S. (2008) · Evolutionary Applications · doi:10.1111/j.1752-4571.2007.00013.x · Cited by 2,204
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
Factors influencing levels of genetic diversity in woody plant species
Hamrick, J. L., Godt, M. J. W., & Sherman-Broyles, S. L. (1992) · New Forests · doi:10.1007/bf00120641 · Cited by 1,480
Kirkpatrick, M., & Barton, N. H. (1997) · The American Naturalist · doi:10.1086/286054 · Cited by 1,380
Gene Flow and Local Adaptation in Trees
Savolainen, O., Pyhäjärvi, T., & Knürr, T. (2007) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.38.091206.095646 · Cited by 1,170
Thuiller, W. (2003) · Global Change Biology · doi:10.1046/j.1365-2486.2003.00666.x · Cited by 1,079
Predicting the Probability of Outbreeding Depression
FRANKHAM, R., BALLOU, J. D., ELDRIDGE, M. D. B., LACY, R. C., RALLS, K., DUDASH, M. R., & FENSTER, C. B. (2011) · Conservation Biology · doi:10.1111/j.1523-1739.2011.01662.x · Cited by 945
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Will plant movements keep up with climate change?
Corlett, R. T., & Westcott, D. A. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.04.003 · Cited by 870
Evolutionary and plastic responses to climate change in terrestrial plant populations
Franks, S. J., Weber, J. J., & Aitken, S. N. (2014) · Evolutionary Applications · doi:10.1111/eva.12112 · Cited by 640
Metadata
- Authors
- Kremer, A., Ronce, O., Robledo‐Arnuncio, J. J., Guillaume, F., Bohrer, G., Nathan, R., Bridle, J. R., Gomulkiewicz, R., Klein, E. K., Ritland, K., Kuparinen, A., Gerber, S., & Schueler, S.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2012-02-28
- Volume
- 15
- Issue
- 4
- Pages
- 378-392
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2142465460
- Cited by
- 677
- References
- 80
- FWCI
- 26.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kremer, A., Ronce, O., Robledo‐Arnuncio, J. J., Guillaume, F., Bohrer, G., Nathan, R., Bridle, J. R., Gomulkiewicz, R., Klein, E. K., Ritland, K., Kuparinen, A., Gerber, S., & Schueler, S. (2012). Long‐distance gene flow and adaptation of forest trees to rapid climate change. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2012.01746.x
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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.