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
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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