The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections
Open accessAbstract
Local adaptations can determine the potential of populations to respond to environmental changes, yet adaptive genetic variation is commonly ignored in models forecasting species vulnerability and biogeographical shifts under future climate change. Here we integrate genomic and ecological modeling approaches to identify genetic adaptations associated with climate in two cryptic forest bats. We then incorporate this information directly into forecasts of range changes under future climate change and assessment of population persistence through the spread of climate-adaptive genetic variation (evolutionary rescue potential). Considering climate-adaptive potential reduced range loss projections, suggesting that failure to account for intraspecific variability can result in overestimation of future losses. On the other hand, range overlap between species was projected to increase, indicating that interspecific competition is likely to play an important role in limiting species’ future ranges. We show that although evolutionary rescue is possible, it depends on a population’s adaptive capacity and connectivity. Hence, we stress the importance of incorporating genomic data and landscape connectivity in climate change vulnerability assessments and conservation management.
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Cites
Accelerating extinction risk from climate change
Urban, M. C. (2015) · Science · doi:10.1126/science.aaa4984 · Cited by 2,436
Thermal tolerance and the global redistribution of animals
Sunday, J. M., Bates, A. E., & Dulvy, N. K. (2012) · Nature Climate Change · doi:10.1038/nclimate1539 · Cited by 1,585
McRae, B. H. (2006) · Evolution · doi:10.1111/j.0014-3820.2006.tb00500.x · Cited by 1,081
Cited by
Population genomics for wildlife conservation and management
Hohenlohe, P. A., Funk, W. C., & Rajora, O. P. (2021) · Molecular Ecology · doi:10.1111/mec.15720 · Cited by 702
How genomics can help biodiversity conservation
Theissinger, K., Fernandes, C., Formenti, G., Bista, I., Berg, P. R., Bleidorn, C., Bombarely, A., Crottini, A., Gallo, G. R., Godoy, J. A., et al. (2023) · Trends in Genetics · doi:10.1016/j.tig.2023.01.005 · Cited by 401
Evolutionary genomics can improve prediction of species’ responses to climate change
Waldvogel, A.-M., Feldmeyer, B., Rolshausen, G., Exposito-Alonso, M., Rellstab, C., Kofler, R., Mock, T., Schmid, K., Schmitt, I., Bataillon, T., et al. (2020) · Evolution Letters · doi:10.1002/evl3.154 · Cited by 348
Conservation and the Genomics of Populations
Allendorf, F. W., Funk, W. C., Aitken, S. N., Byrne, M., Luikart, G., & Antunes, A. (2022) · doi:10.1093/oso/9780198856566.001.0001 · Cited by 207
Circuitscape in julia: empowering dynamic approaches to connectivity assessment
Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B. (2021) · Land · doi:10.3390/land10030301 · Cited by 115
Metadata
- Authors
- Razgour, O., Forester, B., Taggart, J. B., Bekaert, M., Juste, J., Ibáñez, C., Puechmaille, S. J., Novella-Fernandez, R., Alberdi, A., & Manel, S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-05-06
- Volume
- 116
- Issue
- 21
- Pages
- 10418-10423
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2944020213
- Cited by
- 506
- References
- 3
- FWCI
- 93.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Razgour, O., Forester, B., Taggart, J. B., Bekaert, M., Juste, J., Ibáñez, C., Puechmaille, S. J., Novella-Fernandez, R., Alberdi, A., & Manel, S. (2019). Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1820663116
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