Evolutionary origins for ecological patterns in space. Urban, M., C., Strauss, S., Y., Pelletier, F., Palkovacs, E., P., Leibold, M., A., Hendry, A., P., De Meester, L., Carlson, S., M., Angert, A., L., & Giery, S., T. Proceedings of the National Academy of Sciences, 117(30):17482-17490, 7, 2020. ![Evolutionary origins for ecological patterns in space [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex 1 download Historically, many biologists assumed that evolution and ecology acted independently because evolution occurred over distances too great to influence most ecological patterns. Today, evidence indicates that evolution can operate over a range of spatial scales, including fine spatial scales. Thus, evolutionary divergence across space might frequently interact with the mechanisms that also determine spatial ecological patterns. Here, we synthesize insights from 500 eco-evolutionary studies and develop a predictive framework that seeks to understand whether and when evolution amplifies, dampens, or creates ecological patterns. We demonstrate that local adaptation can alter everything from spatial variation in population abundances to ecosystem properties. We uncover 14 mechanisms that can mediate the outcome of evolution on spatial ecological patterns. Sometimes, evolution amplifies environmental variation, especially when selection enhances resource uptake or patch selection. The local evolution of foundation or keystone species can create ecological patterns where none existed originally. However, most often, we find that evolution dampens existing environmental gradients, because local adaptation evens out fitness across environments and thus counteracts the variation in associated ecological patterns. Consequently, evolution generally smooths out the underlying heterogeneity in nature, making the world appear less ragged than it would be in the absence of evolution. We end by highlighting the future research needed to inform a fully integrated and predictive biology that accounts for eco-evolutionary interactions in both space and time.
@article{
title = {Evolutionary origins for ecological patterns in space},
type = {article},
year = {2020},
pages = {17482-17490},
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abstract = {Historically, many biologists assumed that evolution and ecology acted independently because evolution occurred over distances too great to influence most ecological patterns. Today, evidence indicates that evolution can operate over a range of spatial scales, including fine spatial scales. Thus, evolutionary divergence across space might frequently interact with the mechanisms that also determine spatial ecological patterns. Here, we synthesize insights from 500 eco-evolutionary studies and develop a predictive framework that seeks to understand whether and when evolution amplifies, dampens, or creates ecological patterns. We demonstrate that local adaptation can alter everything from spatial variation in population abundances to ecosystem properties. We uncover 14 mechanisms that can mediate the outcome of evolution on spatial ecological patterns. Sometimes, evolution amplifies environmental variation, especially when selection enhances resource uptake or patch selection. The local evolution of foundation or keystone species can create ecological patterns where none existed originally. However, most often, we find that evolution dampens existing environmental gradients, because local adaptation evens out fitness across environments and thus counteracts the variation in associated ecological patterns. Consequently, evolution generally smooths out the underlying heterogeneity in nature, making the world appear less ragged than it would be in the absence of evolution. We end by highlighting the future research needed to inform a fully integrated and predictive biology that accounts for eco-evolutionary interactions in both space and time.},
bibtype = {article},
author = {Urban, Mark C. and Strauss, Sharon Y. and Pelletier, Fanie and Palkovacs, Eric P. and Leibold, Mathew A. and Hendry, Andrew P. and De Meester, Luc and Carlson, Stephanie M. and Angert, Amy L. and Giery, Sean T.},
doi = {10.1073/pnas.1918960117},
journal = {Proceedings of the National Academy of Sciences},
number = {30}
}
Downloads: 1
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