Evidence map›Paper›PMID 35610546›Full record

ArticleEcology letters2022

Temporal correlations among demographic parameters are ubiquitous but highly variable across species.

Rémi Fay, Sandra Hamel, Martijn van de Pol, Jean-Michel Gaillard, Nigel G Yoccoz, Paul Acker, Matthieu Authier, Benjamin Larue, Christie Le Coeur, Kaitlin R Macdonald and 16 more

Abstract readLetter
In one paragraph

Article in Ecology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Identifying the demographic pathways linking environmental covariates to population dynamics in an avian migrant.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Rémi FayCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-7202-367X
Sandra HamelDépartement de biologie, Université Laval, Québec City, QC, Canada.ORCID https://orcid.org/0000-0003-1126-8814
Martijn van de PolCollege of Science and Engineering, James Cook University, Townsville, Queensland, Australia.ORCID https://orcid.org/0000-0003-4102-4079
Jean-Michel GaillardLaboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.ORCID https://orcid.org/0000-0003-0174-8451
Nigel G YoccozDepartment of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0003-2192-1039
Paul AckerCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-3815-772X
Matthieu AuthierObservatoire PELAGIS, UMS-CNRS 3462, Université de la Rochelle, La Rochelle, France.ORCID https://orcid.org/0000-0001-7394-1993
Benjamin LarueDépartement de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0002-4608-9288
Christie Le CoeurDepartment of Biosciences, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-0911-2506
Kaitlin R MacdonaldDepartment of Ecology, Montana State University, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0002-6376-1486
Alex Nicol-HarperSchool of Ocean and Earth Science, National Oceanography Centre, University of Southampton Waterfront Campus, Southampton, UK.ORCID https://orcid.org/0000-0002-8684-9333
Christophe BarbraudCentre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France.ORCID https://orcid.org/0000-0003-0146-212X
Christophe BonenfantLaboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.ORCID https://orcid.org/0000-0002-9924-419X
Dirk H Van VurenDepartment of Wildlife, Fish, and Conservation Biology, University of California, Davis, California, USA.ORCID https://orcid.org/0000-0001-9925-2838
Emmanuelle CamLEMAR, CNRS, IRD, Ifremer, Université de Bretagne Occidentale, Plouzané, France.ORCID https://orcid.org/0000-0001-7324-6958
Karine DelordCentre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France.ORCID https://orcid.org/0000-0001-6720-951X
Marlène GamelonCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-9433-2369
Maria MoironCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0003-0991-1460
Fanie PelletierDépartement de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0002-0113-5412
Jay RotellaDepartment of Ecology, Montana State University, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0001-7014-7524
Celine TeplitskyCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0001-9458-709X
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0002-1456-1939
Caitlin P WellsFish, Wildlife and Conservation Biology Department, Colorado State University, Colorado, USA.ORCID https://orcid.org/0000-0002-8840-3095
Nathaniel T WheelwrightDepartment of Biology, Bowdoin College, Brunswick, Maine, USA.ORCID https://orcid.org/0000-0003-2578-9514
Stéphanie JenouvrierBiology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3324-2383
Bernt-Erik SaetherCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-0049-9767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Population GrowthReproductionAnimalsBiological EvolutionBirdsMammalsPopulation Dynamicscapture-recapturedemographic correlationdemographyenvironmental stochasticityslow-fast continuumstochastic population dynamicstemporal covariation

Identifiers

PMID35610546
PMCPMC9323452

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.