TY - JOUR
T1 - Fluctuating optimum and temporally variable selection on breeding date in birds and mammals
AU - de Villemereuil, Pierre
AU - Charmantier, Anne
AU - Arlt, Debora
AU - Bize, Pierre
AU - Brekke, Patricia
AU - Brouwer, Lyanne
AU - Cockburn, Andrew
AU - Côté, Steeve D.
AU - Stephen Dobson, F.
AU - Evans, Simon R.
AU - Festa-Bianchet, Marco
AU - Gamelon, Marlène
AU - Hamel, Sandra
AU - Hegelbach, Johann
AU - Jerstad, Kurt
AU - Kempenaers, Bart
AU - Kruuk, Loeske E.B.
AU - Kumpula, Jouko
AU - Kvalnes, Thomas
AU - McAdam, Andrew G.
AU - Eryn McFarlane, S.
AU - Morrissey, Michael B.
AU - Pärt, Tomas
AU - Pemberton, Josephine M.
AU - Qvarnström, Anna
AU - Røstad, Ole Wiggo
AU - Schroeder, Julia
AU - Senar, Juan Carlos
AU - Sheldon, Ben C.
AU - van de Pol, Martijn
AU - Visser, Marcel E.
AU - Wheelwright, Nathaniel T.
AU - Tufto, Jarle
AU - Chevin, Luis Miguel
N1 - Publisher Copyright:
© 2020 National Academy of Sciences. All rights reserved.
PY - 2020/12/15
Y1 - 2020/12/15
N2 - Temporal variation in natural selection is predicted to strongly impact the evolution and demography of natural populations, with consequences for the rate of adaptation, evolution of plasticity, and extinction risk. Most of the theory underlying these predictions assumes a moving optimum phenotype, with predictions expressed in terms of the temporal variance and autocorrelation of this optimum. However, empirical studies seldom estimate patterns of fluctuations of an optimum phenotype, precluding further progress in connecting theory with observations. To bridge this gap, we assess the evidence for temporal variation in selection on breeding date by modeling a fitness function with a fluctuating optimum, across 39 populations of 21 wild animals, one of the largest compilations of long-term datasets with individual measurements of trait and fitness components. We find compelling evidence for fluctuations in the fitness function, causing temporal variation in the magnitude, but not the direction of selection. However, fluctuations of the optimum phenotype need not directly translate into variation in selection gradients, because their impact can be buffered by partial tracking of the optimum by the mean phenotype. Analyzing individuals that reproduce in consecutive years, we find that plastic changes track movements of the optimum phenotype across years, especially in bird species, reducing temporal variation in directional selection. This suggests that phenological plasticity has evolved to cope with fluctuations in the optimum, despite their currently modest contribution to variation in selection.
AB - Temporal variation in natural selection is predicted to strongly impact the evolution and demography of natural populations, with consequences for the rate of adaptation, evolution of plasticity, and extinction risk. Most of the theory underlying these predictions assumes a moving optimum phenotype, with predictions expressed in terms of the temporal variance and autocorrelation of this optimum. However, empirical studies seldom estimate patterns of fluctuations of an optimum phenotype, precluding further progress in connecting theory with observations. To bridge this gap, we assess the evidence for temporal variation in selection on breeding date by modeling a fitness function with a fluctuating optimum, across 39 populations of 21 wild animals, one of the largest compilations of long-term datasets with individual measurements of trait and fitness components. We find compelling evidence for fluctuations in the fitness function, causing temporal variation in the magnitude, but not the direction of selection. However, fluctuations of the optimum phenotype need not directly translate into variation in selection gradients, because their impact can be buffered by partial tracking of the optimum by the mean phenotype. Analyzing individuals that reproduce in consecutive years, we find that plastic changes track movements of the optimum phenotype across years, especially in bird species, reducing temporal variation in directional selection. This suggests that phenological plasticity has evolved to cope with fluctuations in the optimum, despite their currently modest contribution to variation in selection.
KW - Adaptation
KW - Fitness landscape
KW - Fluctuating environment
KW - Meta-analysis
KW - Phenotypic plasticity
UR - http://www.scopus.com/inward/record.url?scp=85098459450&partnerID=8YFLogxK
U2 - 10.1073/pnas.2009003117
DO - 10.1073/pnas.2009003117
M3 - Article
SN - 0027-8424
VL - 117
SP - 31969
EP - 31978
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 50
ER -