Blar i forfatter "Gamelon, Marlène"

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    • The Demographic buffering hypothesis: Evidence and challenges 

      Hilde, Christoffer Høyvik; Gamelon, Marlène; Sæther, Bernt-Erik; Gaillard, Jean-Michel; Yoccoz, Nigel; Pelabon, Christophe (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06)
      In (st)age-structured populations, the long-run population growth rate is negatively affected by temporal variation in vital rates. In most cases, natural selection should minimize temporal variation in the vital rates to which the long-run population growth is most sensitive, resulting in demographic buffering. By reviewing empirical studies on demographic buffering in wild populations, we found ...

    • Detecting climate signals in populations across life histories 

      Jenouvrier, Stéphanie; Long, Matthew C.; Coste, Christophe; Holland, Marika M.; Gamelon, Marlène; Yoccoz, Nigel; Sæther, Bernt-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-20)
      Climate impacts are not always easily discerned in wild populations as detecting climate change signals in populations is challenged by stochastic noise associated with natural climate variability, variability in biotic and abiotic processes, and observation error in demographic rates. Detection of the impact of climate change on populations requires making a formal distinction between signals in ...

    • Quantifying fixed individual heterogeneity in demographic parameters: Performance of correlated random effects for Bernoulli variables 

      Fay, Rémi; Authier, Matthieu; Hamel, Sandra; Jenouvrier, Stéphanie; van de Pol, Martijn; Cam, Emmanuelle; Gaillard, Jean-Michel; Yoccoz, Nigel G.; Acker, Paul; Allen, Andrew; Aubry, Lise M.; Bonenfant, Christophe; Caswell, Hal; Coste, Christophe; Larue, Benjamin; Le Coeur, Christie; Gamelon, Marlène; Macdonald, Kaitlin R.; Moiron, Maria; Nicol-Harper, Alex; Pelletier, Fanie; Rotella, Jay J.; Teplitsky, Celine; Touzot, Laura; Wells, Caitlin P.; Sæther, Bernt-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-24)
      <ol type="1"> <li>An increasing number of empirical studies aim to quantify individual variation in demographic parameters because these patterns are key for evolutionary and ecological processes. Advanced approaches to estimate individual heterogeneity are now using a multivariate normal distribution with correlated individual random effects to account for the latent correlations among different ...

    • 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; 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; Teplitsky, Céline; Visser, Marcel E.; Wells, Caitlin P.; Wheelwright, Nathaniel T.; Jenouvrier, Stéphanie; Sæther, Bernt-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-24)
      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 ...