• 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 ...