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

Temporal correlations among demographic parameters are ubiquitous but highly variable across species
Temporal correlations among demographic parameters are ubiquitous but highly variable across species
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.
1461-023X
1640-1654
Fay, Rémi
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Hamel, Sandra
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Van de Pol, Martijn
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Gaillard, Jean‐Michel
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Yoccoz, Nigel G.
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Acker, Paul
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Authier, Matthieu
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Larue, Benjamin
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Le Coeur, Christie
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Macdonald, Kaitlin R.
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Nicol‐Harper, Alex
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Barbraud, Christophe
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Bonenfant, Christophe
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Van Vuren, Dirk H.
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Cam, Emmanuelle
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Delord, Karine
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Gamelon, Marlène
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Moiron, Maria
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Pelletier, Fanie
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Rotella, Jay
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Teplitsky, Celine
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Visser, Marcel E.
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Wells, Caitlin P.
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Wheelwright, Nathaniel T.
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Jenouvrier, Stéphanie
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Sæther, Bernt‐Erik
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Fay, Rémi
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Hamel, Sandra
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Van de Pol, Martijn
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Gaillard, Jean‐Michel
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Yoccoz, Nigel G.
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Acker, Paul
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Authier, Matthieu
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Larue, Benjamin
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Le Coeur, Christie
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Macdonald, Kaitlin R.
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Nicol‐Harper, Alex
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Barbraud, Christophe
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Bonenfant, Christophe
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Van Vuren, Dirk H.
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Cam, Emmanuelle
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Delord, Karine
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Gamelon, Marlène
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Moiron, Maria
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Pelletier, Fanie
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Rotella, Jay
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Teplitsky, Celine
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Visser, Marcel E.
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Wells, Caitlin P.
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Wheelwright, Nathaniel T.
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Jenouvrier, Stéphanie
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Sæther, Bernt‐Erik
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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 and Sæther, Bernt‐Erik (2022) Temporal correlations among demographic parameters are ubiquitous but highly variable across species. Ecology Letters, 25 (7), 1640-1654. (doi:10.1111/ele.14026).

Record type: Article

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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Ecology Letters - 2022 - Fay - Temporal correlations among demographic parameters are ubiquitous but highly variable across - Version of Record
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Accepted/In Press date: 12 April 2022
Published date: 24 May 2022

Identifiers

Local EPrints ID: 490598
URI: http://eprints.soton.ac.uk/id/eprint/490598
ISSN: 1461-023X
PURE UUID: a102ff40-5e21-4408-9b9e-46e5fa0d1db2
ORCID for Alex Nicol‐Harper: ORCID iD orcid.org/0000-0002-8684-9333

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Date deposited: 31 May 2024 16:31
Last modified: 01 Jun 2024 01:55

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Contributors

Author: Rémi Fay
Author: Sandra Hamel
Author: Martijn Van de Pol
Author: Jean‐Michel Gaillard
Author: Nigel G. Yoccoz
Author: Paul Acker
Author: Matthieu Authier
Author: Benjamin Larue
Author: Christie Le Coeur
Author: Kaitlin R. Macdonald
Author: Christophe Barbraud
Author: Christophe Bonenfant
Author: Dirk H. Van Vuren
Author: Emmanuelle Cam
Author: Karine Delord
Author: Marlène Gamelon
Author: Maria Moiron
Author: Fanie Pelletier
Author: Jay Rotella
Author: Celine Teplitsky
Author: Marcel E. Visser
Author: Caitlin P. Wells
Author: Nathaniel T. Wheelwright
Author: Stéphanie Jenouvrier
Author: Bernt‐Erik Sæther

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