Incorporating evolutionary processes into population viability models. Issue 3 (11th December 2014)

• Record Type: Journal Article
• Authors: Pierson, Jennifer C.; Beissinger, Steven R.; Bragg, Jason G.; Coates, David J.; Oostermeijer, J. Gerard B.; Sunnucks, Paul; Schumaker, Nathan H.; Trotter, Meredith V.; Young, Andrew G.
• Is Part Of: Conservation biology. Volume 29:Issue 3(2015)
• Page Start: 755
• Page End: 764
• Publication Date: 2014-12-11
• Subjects: Conservation biology -- Periodicals; 333.9516
• DOI: 10.1111/cobi.12431
• Languages: English
• ISSNs: 0888-8892

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>We examined how ecological and evolutionary (eco‐evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco‐evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco‐evo PVA using individual‐based models with individual‐level genotype tracking and dynamic genotype–phenotype mapping to model emergent population‐level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco‐evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence.</p> </abstract>