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415 results on '"Bonenfant, Christophe"'

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

Author

Fay, Rémi, Hamel, Sandra, 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

Subjects
Biological Sciences, Ecology, Evolutionary Biology, Mental Health, Life on Land, Animals, Biological Evolution, Birds, Mammals, Population Dynamics, Population Growth, Reproduction, capture-recapture, demographic correlation, demography, environmental stochasticity, slow-fast continuum, stochastic population dynamics, temporal covariation, Ecological Applications, Ecological applications, Environmental management
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.

Published
2022

12. Same habitat types but different use: evidence of context-dependent habitat selection in roe deer across populations

Author

Gaudry William, Gaillard Jean-Michel, Saïd Sonia, Bonenfant Christophe, Mysterud Atle, Morellet Nicolas, Pellerin Maryline, and Calenge Clément

Subjects
Medicine, Science
Abstract

Abstract With the surge of GPS-technology, many studies uncovered space use of mobile animals and shed light on the underlying behavioral mechanisms of habitat selection. Habitat selection and variation in either occurrence or strength of functional responses (i.e. how selection changes with availability) have given new insight into such mechanisms within populations in different ecosystems. However, linking variation in habitat selection to site-specific conditions in different populations facing contrasting environmental conditions but the same habitat type has not yet been investigated. We aimed to fill this knowledge gap by comparing within-home range habitat selection across 61 female roe deer (Capreolus capreolus) during the most critical life history stage in three study areas showing the same habitat types but with different environmental conditions. Female roe deer markedly differed in habitat selection within their home range, both within and among populations. Females facing poor environmental conditions clearly displayed a functional response, whereas females facing rich environmental conditions did not show any functional response. These results demonstrate how the use of a given habitat relative to its availability strongly varies in response to environmental conditions. Our findings highlight that the same habitat composition can lead to very different habitat selection processes across contrasted environments.

Published
2018
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25. Archiving Primary Data: Solutions for Long-Term Studies

Author

Mills, James A., Teplitsky, Céline, Arroyo, Beatriz, Charmantier, Anne, Becker, Peter. H., Birkhead, Tim R., Bize, Pierre, Blumstein, Daniel T., Bonenfant, Christophe, Boutin, Stan, Bushuev, Andrey, Cam, Emmanuelle, Cockburn, Andrew, Côté, Steeve D., Coulson, John C., Daunt, Francis, Dingemanse, Niels J., Doligez, Blandine, Drummond, Hugh, Espie, Richard H.M., Festa-Bianchet, Marco, Frentiu, Francesca, Fitzpatrick, John W., Furness, Robert W., Garant, Dany, Gauthier, Gilles, Grant, Peter R., Griesser, Michael, Gustafsson, Lars, Hansson, Bengt, Harris, Michael P., Jiguet, Frédéric, Kjellander, Petter, Korpimäki, Erkki, Krebs, Charles J., Lens, Luc, Linnell, John D.C., Low, Matthew, McAdam, Andrew, Margalida, Antoni, Merilä, Juha, Møller, Anders P., Nakagawa, Shinichi, Nilsson, Jan-Åke, Nisbet, Ian C.T., van Noordwijk, Arie J., Oro, Daniel, Pärt, Tomas, Pelletier, Fanie, Potti, Jaime, Pujol, Benoit, Réale, Denis, Rockwell, Robert F., Ropert-Coudert, Yan, Roulin, Alexandre, Sedinger, James S., Swenson, Jon E., Thébaud, Christophe, Visser, Marcel E., Wanless, Sarah, Westneat, David F., Wilson, Alastair J., and Zedrosser, Andreas

Published
2015
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42. Quantifying fixed individual heterogeneity in demographic parameters: Performance of correlated random effects for Bernoulli variables

Author

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 F.D., 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, 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 F.D., 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., and Sæther, Bernt Erik

Abstract

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 demographic parameters occurring within individuals. Despite the frequent use of multivariate mixed models, we lack an assessment of their reliability when applied to Bernoulli variables. Using simulations, we estimated the reliability of multivariate mixed effect models for estimating correlated fixed individual heterogeneity in demographic parameters modelled with a Bernoulli distribution. We evaluated both bias and precision of the estimates across a range of scenarios that investigate the effects of life-history strategy, levels of individual heterogeneity and presence of temporal variation and state dependence. We also compared estimates across different sampling designs to assess the importance of study duration, number of individuals monitored and detection probability. In many simulated scenarios, the estimates for the correlated random effects were biased and imprecise, which highlight the challenge in estimating correlated random effects for Bernoulli variables. The amount of fixed among-individual heterogeneity was frequently overestimated, and the absolute value of the correlation between random effects was almost always underestimated. Simulations also showed contrasting performances of mixed models depending on the scenario considered. Generally, estimation bias decreases and precision increases with slower pace of life, large fixed individual heterogeneity and large sample size. We provide guidelines for the empirical investigation of individual heterogeneity using correlated random effects according to the life-history strategy of the species, as well as, the volume and st

Published
2022

45. Comparison of environmental, biological and anthropogenic causes of wildlife–vehicle collisions among three large herbivore species

Author

Saint-Andrieux Christine, Calenge Clément, and Bonenfant Christophe

Subjects
Herbivore, Habitat fragmentation, Ecology, Road ecology, Wildlife, Biology, Spatial distribution, Collision, Fencing, Roe deer, Geography, Habitat, Wild boar, Abundance (ecology), biology.animal, Ecology, Evolution, Behavior and Systematics
Abstract

Abstract Wildlife–vehicle collisions are of increasing concern in modern societies caracterized by a continous and accelerating anthropogenic development. Preventing and mitigating collisions with wildlife will require a better understanding of the environmental and biological drivers of collision risks. Because species of large mammals differ in terms of food requirements, habitat selection and movement behaviours, and of activity patterns we tested whether vehicle collisions with red deer, roe deer and wild boar, the most abundant large herbivores in Europe, differed in terms of spatial distribution and explanatory factors, using a Bayesian statistical framework. From 20,275 documented collisions in 9 departments of France between years 1990 and 2006, we found marked differences in magnitude and in the most influential environmental factors accounting for the density of collisions among the three species, in agreement with their biology and habitat preferences. The effect of road density was higher for the red deer than for the two other species for which it was similar, and did not level off at our large spatial-scale of observation. As expected from particle collision models, the annual hunting harvest – interpreted as a proxy of population abundance – was positively associated with the density of collisions for all species, being the strongest for red deer. Overall, the effect of landscape structure on the density of collisions was weak but while the collision density did decrease with the proportion of forest in a management unit for wild boar, it increased with the fragmentation of forests for red deer that commute among forest patches between day and night. To reduce the number of wildlife–vehicle collisions actively, our results suggest to generalise road fencing for highways and motorways or a reduction of abundance of large herbivore populations as efficient action means. Overall, we call for of a greater consideration of the species’ biology in information campaigns or by using specific road signs.

Published
2020

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