title: Incorporating evolutionary processes into population viability models.
abstract: 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.
authors.affiliation: CSIRO Plant Industry, P.O. Box 1600, Canberra, ACT, 2601, Australia.
authors.forename: Jennifer C
authors.initials: JC
authors.lastname: Pierson
authors.affiliation: Department of Environmental Science, Policy and Management, and Museum of Vertebrate Zoology, UC Berkeley, Berkeley, CA, 94720, U.S.A.
authors.forename: Steven R
authors.initials: SR
authors.lastname: Beissinger
authors.affiliation: Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia.
authors.forename: Jason G
authors.initials: JG
authors.lastname: Bragg
authors.affiliation: Plant Science and Herbarium Program, Department of Parks and Wildlife, Locked Bag 104, Bentley Delivery Centre, Bentley, WA, 6983, Australia.
authors.forename: David J
authors.initials: DJ
authors.lastname: Coates
authors.affiliation: Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
authors.forename: J Gerard B
authors.initials: JG
authors.lastname: Oostermeijer
authors.affiliation: School of Biological Sciences, Monash University, VIC, 3800, Australia.
authors.forename: Paul
authors.initials: P
authors.lastname: Sunnucks
authors.affiliation: Western Ecology Division, Environmental Protection Agency, Corvallis, OR, 97333, U.S.A.
authors.forename: Nathan H
authors.initials: NH
authors.lastname: Schumaker
authors.affiliation: Department of Biology, Stanford University, Stanford, CA, 94305, U.S.A.
authors.forename: Meredith V
authors.initials: MV
authors.lastname: Trotter
authors.affiliation: CSIRO Plant Industry, P.O. Box 1600, Canberra, ACT, 2601, Australia.
authors.forename: Andrew G
authors.initials: AG
authors.lastname: Young
mesh_terms: D000818:Animals; D005075:Biological Evolution; D057231:Climate Change; D003247:Conservation of Natural Resources / Q000379:methods*; D004463:Ecology; D005838:Genotype; D007448:Invertebrates / Q000235:genetics; D008957:Models, Genetic; D010641:Phenotype; D010944:Plants / Q000235:genetics; D011157:Population Dynamics; D014714:Vertebrates / Q000235:genetics
keywords: AVP; PVA; adaptación; adaptation; análisis de viabilidad poblacional; dinámicas eco-evolutivas; eco-evolutionary dynamics; endogamia; exogamia; extinction risk; genomics; genómica; inbreeding; individual-based model; modelo con base en individuos; outbreeding; population viability analysis; riesgo de extinción