Fluctuating optimum and temporally variable selection on breeding date in birds and mammals
Time Factors
Australian Research Council
Animal Ecology and Physiology
Natural selection
QH301 Biology
Datasets as Topic
Fluctuating environment
Phenotypic plasticity
adaptation
phenotypic plasticity
59 - Zoologia
NE/S010335/1
National Science Foundation DEB-0089473
Mammals
Phenotic plasticity
Multidisciplinary
Fitness landscape
fluctuating environment
Swedish Research Council VR
[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]
Reproduction
Selecció natural
Leverhulme Trust UK
Plan_S-Compliant_NO
Biological Evolution
Spanish Research Council CGL-2016-79568-C3-3-P
BB/L006081/1
fluctuating enviroment
Ciència i tecnologia
NE/K006274/1
international
articles
590 Animals (Zoology)
678140-FluctEvol
Aves
European Research Council
Research Council of Norway 223257
570
fitness landscape
612
Adaptació animal
ERC AdG250164
Birds
QH301
10127 Institute of Evolutionary Biology and Environmental Studies
Reproducció
Animals
Adaptation
Selection, Genetic
ZA4450
Animal adaptation
1000 Multidisciplinary
ZA4450 Databases
Ocells
Models, Genetic
Selección natural
Natural Environment Research Council (NERC)
DAS
Reproducción
Adaptación de los animales
meta-analysis
Meta-analysis
Natural Sciences and Engineering Research Council (NSERC)
Biotechnology and Biological Sciences Research Council (BBSRC)
570 Life sciences; biology
ta1181
Other
Genetic Fitness
Mamífers
DOI:
10.1073/pnas.2009003117
Publication Date:
2020-12-01T01:32:19Z
AUTHORS (34)
ABSTRACT
Significance
Many ecological and evolutionary processes strongly depend on the way natural selection varies over time. However, a gap remains when trying to connect theoretical predictions to empirical work on this question: Most theory assumes that adaptation involves tracking a moving optimum phenotype through time, but this is seldom estimated empirically. Here, we have assembled a large database of wild bird and mammal populations, to estimate patterns of fluctuations in the optimum breeding date and its influence on the variability of natural selection. We find that optimum fluctuations are prevalent. However, their influence on temporal variance in natural selection is partly buffered by tracking of the optimum phenotype through individual phenotypic plasticity.
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CITATIONS (102)
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