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Journal article
Individual-based eco-evolutionary models for understanding adaptation in changing seas
Proceedings of the Royal Society. B, Biological sciences, v 288(1962), 20212006
10 Nov 2021
PMID: 34753353
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
As climate change threatens species' persistence, predicting the potential for species to adapt to rapidly changing environments is imperative for the development of effective conservation strategies. Eco-evolutionary individual-based models (IBMs) can be useful tools for achieving this objective. We performed a literature review to identify studies that apply these tools in marine systems. Our survey suggested that this is an emerging area of research fuelled in part by developments in modelling frameworks that allow simulation of increasingly complex ecological, genetic and demographic processes. The studies we identified illustrate the promise of this approach and advance our understanding of the capacity for adaptation to outpace climate change. These studies also identify limitations of current models and opportunities for further development. We discuss three main topics that emerged across studies: (i) effects of genetic architecture and non-genetic responses on adaptive potential; (ii) capacity for gene flow to facilitate rapid adaptation; and (iii) impacts of multiple stressors on persistence. Finally, we demonstrate the approach using simple simulations and provide a framework for users to explore eco-evolutionary IBMs as tools for understanding adaptation in changing seas.
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Details
- Title
- Individual-based eco-evolutionary models for understanding adaptation in changing seas
- Creators
- Amanda Xuereb (Corresponding Author) - Université LavalQuentin Rougemont - Centre d'Écologie Fonctionnelle et ÉvolutivePeter Tiffin - University of MinnesotaHuijie Xue - University of MaineMegan Phifer-Rixey - Monmouth University
- Publication Details
- Proceedings of the Royal Society. B, Biological sciences, v 288(1962), 20212006
- Publisher
- The Royal Society
- Number of pages
- 10
- Grant note
- OCE-14-58239; IOS-1856744 / National Science Foundation; National Science Foundation (NSF) Canada Research Chair in Genomics and Conservation of Aquatic Resources Monmouth University Urban Coast Institute
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biology
- Web of Science ID
- WOS:000716371100006
- Scopus ID
- 2-s2.0-85119969537
- Other Identifier
- 991021230003304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biology
- Ecology
- Evolutionary Biology