• Adaptive responses of animals to climate change are most likely insufficient 

      Radchuk, Viktoriia; Reed, Thomas; Teplitsky, Céline; van der Pol, Martijn; Charmantier, Anne; Hassall, Christopher; Adamik, Peter; Adriaensen, Frank; Ahola, Markus P.; Arcese, Peter; Avilés, Jesus Miguel; Balbontin, Javier; Berg, Karl S.; Borras, Antoni; Burthe, Sarah; Clobert, Jean; Dehnhard, Nina; de Lope, Florentino; Dhondt, André A.; Dingemanse, Niels J.; Doi, Hideyuki; Eeva, Tapio; Fickel, Joerns; Filella, Iolanda; Fossøy, Frode; Goodenough, Anne E.; Hall, Stephen J.G.; Hansson, Bengt; Harris, Michael; Hasselquist, Dennis; Hickler, Thomas; Joshi, Jasmin; Kharouba, Heather; Martínez, Juan Gabriel; Mihoub, Jean-Baptiste; Mills, James A.; Molina-Morales, Mercedes; Moksnes, Arne; Ozgul, Arpat; Parejo, Deseada; Pilard, Philippe; Poisbleau, Maud; Rousset, Francois; Rödel, Mark-Oliver; Scott, David; Senar, Juan Carlos; Stefanescu, Constanti; Stokke, Bård Gunnar; Kusano, Tamotsu; Tarka, Maja; Tarwater, Corey E.; Thonicke, Kirsten; Thorley, Jack; Wilting, Andreas; Tryjanowski, Piotr; Merilä, Juha; Sheldon, Ben C.; Møller, Anders Pape; Matthysen, Erik; Janzen, Fredric; Dobson, F.Stephen; Visser, Marcel E.; Beissinger, Steven R.; Courtiol, Alexandre; Kramer-Schadt, Stephanie (Journal article; Peer reviewed, 2019)
      Biological responses to climate change have been widely documented across taxa and regions, but it remains unclear whether species are maintaining a good match between phenotype and environment, i.e. whether observed trait ...
    • Robustness of linear mixed-effects models to violations of distributional assumptions 

      Schielzeth, Holger; Dingemanse, Niels J.; Nakagawa, Shinichi; Westneat, David F.; Allegue, Hassen; Teplitsky, Céline; Réale, Denis; Dochtermann, Ned A.; Garamszegi, László Zsolt; Araya-Ajoy, Yimen (Peer reviewed; Journal article, 2020)
      Linear mixed-effects models are powerful tools for analysing complex datasets with repeated or clustered observations, a common data structure in ecology and evolution. Mixed-effects models involve complex fitting procedures ...
    • 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; Rotella, Jay J.; Teplitsky, Céline; Visser, Marcel E.; Wells, Caitlin P.; Wheelwright, Nathaniel T.; Jenouvrier, Stéphanie; Sæther, Bernt-Erik (Peer reviewed; Journal article, 2022)
      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 ...
    • 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; Rotella, Jay J.; Teplitsky, Céline; Visser, Marcel E.; Wells, Caitlin P.; Wheelwright, Nathaniel T.; Jenouvrier, Stéphanie; Sæther, Bernt-Erik (Peer reviewed; Journal article, 2022)
      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 ...