posted on 2025-08-01, 14:35authored byT Bonnet, MB Morrissey, P de Villemereuil, SC Alberts, P Arcese, LD Bailey, S Boutin, P Brekke, LJN Brent, G Camenisch, A Charmantier, TH Clutton-Brock, A Cockburn, DW Coltman, A Courtiol, E Davidian, SR Evans, JG Ewen, M Festa-Bianchet, C de Franceschi, L Gustafsson, OP Höner, TM Houslay, LF Keller, M Manser, AG McAdam, E McLean, P Nietlisbach, HL Osmond, JM Pemberton, E Postma, JM Reid, A Rutschmann, AW Santure, BC Sheldon, J Slate, C Teplitsky, ME Visser, B Wachter, LEB Kruuk
The rate of adaptive evolution, the contribution of selection to genetic changes that increase mean fitness, is determined by the additive genetic variance in individual relative fitness. To date, there are few robust estimates of this parameter for natural populations, and it is therefore unclear whether adaptive evolution can play a meaningful role in short-term population dynamics. We developed and applied quantitative genetic methods to long-term datasets from 19 wild bird and mammal populations and found that, while estimates vary between populations, additive genetic variance in relative fitness is often substantial and, on average, twice that of previous estimates. We show that these rates of contemporary adaptive evolution can affect population dynamics and hence that natural selection has the potential to partly mitigate effects of current environmental change.
Funding
Agence Nationale de la Recheche (ANR)
Australian Research Council (ARC)
Biotechnology and Biological Sciences Research Council (BBSRC)
Chicago Zoological Society
Deutsche Forschungsgemeinschaft
Deutscher Akademischer Austauschdienst
European Research Council
Hihi Recovery Group, Zealandia
Human Frontier Science Program
L.S.B. Leakey Foundation
Leibniz Institute for Zoo and Wildlife Research
MAVA Foundation
Mammal Research Institute at the University of Pretoria, South Africa
Max Planck Institute for Demographic Research
Max Planck Society
National Center for Research Resources
National Geographic Society
Natural Environment Research Council (NERC)
Natural Sciences and Engineering Research Council (NSERC)
Natural Sciences and Engineering Research Council of Canada
New Zealand Department of Conservation (DoC)
Norwegian Research Council
Observatoire de Recherche Montpelliérain de l'Environnement (OSU-OREME)
Office of Research Infrastructure Programs of the National Institutes of Health
Princeton Center for the Demography of Aging
Research England
Royal Society of New Zealand
Swedish Research Council (VR)
Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)
This is the author accepted manuscript. The final version is available from the American Association for the Advancement of Science via the DOI in this record
Data and materials availability: All code and data are available in the supplementary materials.