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Temporal correlations among demographic parameters are ubiquitous but highly variable across species.
Fay, Rémi; Hamel, Sandra; van de Pol, Martijn; Gaillard, Jean-Michel; Yoccoz, Nigel G; Acker, Paul; Authier, Matthieu; Larue, Benjamin; Le Coeur, Christie; Macdonald, Kaitlin R; Nicol-Harper, Alex; Barbraud, Christophe; Bonenfant, Christophe; Van Vuren, Dirk H; Cam, Emmanuelle; Delord, Karine; Gamelon, Marlène; Moiron, Maria; Pelletier, Fanie; Rotella, Jay; Teplitsky, Celine; Visser, Marcel E; Wells, Caitlin P; Wheelwright, Nathaniel T; Jenouvrier, Stéphanie; Saether, Bernt-Erik.
Affiliation
  • Fay R; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Hamel S; Département de biologie, Université Laval, Québec City, QC, Canada.
  • van de Pol M; College of Science and Engineering, James Cook University, Townsville, Queensland, Australia.
  • Gaillard JM; Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
  • Yoccoz NG; Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Acker P; Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway.
  • Authier M; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Larue B; Observatoire PELAGIS, UMS-CNRS 3462, Université de la Rochelle, La Rochelle, France.
  • Le Coeur C; Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Macdonald KR; Department of Biosciences, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway.
  • Nicol-Harper A; Department of Ecology, Montana State University, Bozeman, Montana, USA.
  • Barbraud C; School of Ocean and Earth Science, National Oceanography Centre, University of Southampton Waterfront Campus, Southampton, UK.
  • Bonenfant C; Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Van Vuren DH; Centre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France.
  • Cam E; Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Delord K; Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, California, USA.
  • Gamelon M; LEMAR, CNRS, IRD, Ifremer, Université de Bretagne Occidentale, Plouzané, France.
  • Moiron M; Centre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France.
  • Pelletier F; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Rotella J; Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Teplitsky C; CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
  • Visser ME; Institute of Avian Research, Wilhelmshaven, Germany.
  • Wells CP; Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Wheelwright NT; Department of Ecology, Montana State University, Bozeman, Montana, USA.
  • Jenouvrier S; CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
  • Saether BE; Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Ecol Lett ; 25(7): 1640-1654, 2022 Jul.
Article in En | MEDLINE | ID: mdl-35610546
ABSTRACT
Temporal correlations among demographic parameters can strongly influence population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species' life histories. Here, we use long-term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters juvenile and adult survival, reproductive probability, reproductive success and productivity. Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow-fast continuum of life histories, suggesting that they were more strongly driven by ecological than evolutionary factors. As positive temporal demographic correlations decrease the mean of the long-run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Reproduction / Population Growth Type of study: Prognostic_studies Limits: Animals Language: En Journal: Ecol Lett Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Reproduction / Population Growth Type of study: Prognostic_studies Limits: Animals Language: En Journal: Ecol Lett Year: 2022 Document type: Article Affiliation country:
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