Interactions Humains Animaux

Roger PRADEL

Index de l'article

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Directeur de Recherche au CNRS / Senior Scientist at CNRS

J'étudie la dynamique des populations sauvages et développe à cette fin des méthodes statistiques.

I study the dynamics of wild populations and develop appropriate statistical methods.

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CEFE/CNRS
Campus du CNRS
1919, route de Mende
34293 Montpellier cedex 5
Tél. : +33/0 4 67 61 32 99
Fax : +33/0 4 67 61 33 36

Mots-clés:
Discipline : Ecologie - Technique : Modélisation - Thématiques : Dynamique des populations - Autres mots clés : Modèles de capture-recapture.

Key-words:
Discipline : Ecology - Technique : Modeling - Theme : Population Dynamics - Other key-words : Capture-recapture Models.


Thème de recherche

A la lumière des théories évolutives et écologiques, je m'intéresse aux mécanismes de la dynamique des populations dans les populations sauvages, notamment survie et reproduction. Le suivi n'étant jamais parfait, j'ai développé un cadre conceptuel qui distingue les informations recueillies du processus biologique et formalise le lien qui les relie. Les processus biologiques et le processus de recueil des données comportent de plus souvent plusieurs étapes qu'on a avantage à distinguer (e.g. décision de départ et choix d'un nouveau site lors d'un épisode de dispersion de reproduction). J'ai consolidé ces idées dans une ontologie et un modèle statistique (multiévènement). Un logiciel associé a été développé dans l'équipe (E-SURGE). Des exemples d'études qui peuvent être réalisées dans ce cadre sont disponibles ici.

Research topic

In the light of ecological and evolutionary theories, I study the mecanisms of wild species population dynamics with an emphasis on survival and reproduction. Follow-up being imperfect, I have developped a conceptual framework that separates the information collected from the biological process and formalizes the link between them. Biological process and information gathering process both often involve subprocesses, which it is advantageous to distinguish (e.g. decision of departure and choice of the new site during breeding dispersal). I have solidified these thoughts in an ontology and a statistical model (multievent). An associated program has been developped in my team (E-SURGE). Here are some examples of studies amenable to this framework.

Pradel, R. 2005. Multievent : an extension of capture-recapture models to uncertain states. Biometrics 61: 442-447.


HDR, Thèse

  • PRADEL, R. (2003). Mesurer et expliquer l'accession à la reproduction dans les populations animales libres. Habilitation à diriger des recherches. Université Montpellier II
  • PRADEL, R. (1992).- Estimation et comparaison de probabilités de survie par suivi individuel et utilisation en biologie des populations animales. Thèse de Doctorat, Université Montpellier II.

Enseignements universitaire

Master Ecologie Comportementale et Gestion de la Faune, Université de Bourgogne.


CURRENT SCIENTIFIC PROJECTS / PROJETS SCIENTIFIQUES ACTUELS

Statistical ecology to mitigate global change: New tools to account for interactions among individuals in animal demography (PICS 07699 CNRS-CSIC INTERACT 2016-2019)

Researchers and managers agree that good statistical tools are needed to face the impacts of global change. The Population Ecology Group (CSIC) and the “Biostatistique et Biologie des populations” Group at CEFE (CNRS) have previously collaborated to enhance and develop mathematical tools to better understand the dynamics of natural populations. Here we intend to make a leap in Statistical Ecology by developing analytical methods that account for interactions among individuals namely social cohesion and density-dependence. These interactions may be strong and have consequences on demographic parameters and population persistence. We aim to achieve our aim by carrying rigorous and comprehensive analyses of populations for which we have excellent databases and good knowledge of the natural history and the species system. Those are two endemic Mediterranean species with conservation concerns, affected by global change agents: the Audouin’s gull and the Balearic wall lizard.

Simone Tenan, Giacomo Tavecchia, Daniel Oro, Roger Pradel. Assessing the effect of density on population growth when modeling individual encounter data. Ecology, 100(3), 2019, e02595. ⟨10.1002/ecy.2595⟩. ⟨hal-02104959⟩

Ana Sanz-Aguilar, Roger Pradel, Giacomo Tavecchia. Age-dependent capture-recapture models and unequal time intervals. Animal Biodiversity and Conservation, 2019, 42 (1), 91-98. ⟨hal-01911556⟩

Mosquito Vectors Adaptation to global environmental changes (ANR MoVe=>ADAPT 2019-2022)

We advocate to study how adaptation of mosquito vectors to environmental modifications associated with global change impact their fitness and the life-history traits influencing vectorial capacity, in order to predict more accurately the epidemiological consequences of niche expansions and the spread of mosquito-borne pathogens. Such predictions are essential to adapt disease control programmes and avoid the emergence of vector-borne diseases. Toward this aim, we propose to apply the multi-state/multi-event mark-recapture (MSMR) analytical approach, that hase been instrumental to obtain unbiased field estimates of vertebrate populations demographic parameters, to the study of natural mosquito populations. Individual capture histories will be obtained by ‘marking’ mosquitoes with genetic fingerprints, using environmental DNA collected non-invasively. We propose to verify whether the recent invasion of urban-polluted and coastal- brackish water habitats by populations of the Anopheles gambiae complex and Aedes aegypti, which are among the best vectors of malaria and dengue in the world, is adaptative, and to assess the cost of adaptation by comparing fitness trade-offs in reciprocally transplanted natural populations occurring in contrasting environments. To gain insights about the generality of the patterns observed, we propose to conduct these field and semi-field experiments using mosquito populations from four African countries and two environmental stressors, i.e. water organic pollution and salinity.

African biodiversity dynamics: interactions between ecological processes and conservation actions (AFROBIODRIVERS (FRB-CESAB), ESCAPADES (OASIC-CNRS), CESAB_AFTER : AFROBIODRIVERS)

Africa is home to the richest and most spectacular communities of large mammals on the planet. This
exceptional but threatened biodiversity plays an essential role in the functioning and maintenance of ecosystems and represents an important natural resource for human societies. Development in Africa can still be adjusted to conserve biodiversity on a scale not possible elsewhere where human densities are higher. Protected areas are the cornerstones of the conservation effort, but the decline of wild life is not homogeneous across the continent, indicating different dynamics across countries, regions and biomes.
The AFROBIODRIVERS project aims at studying the patterns and processes of change in the status of the populations of large mammals, with various indices*, focusing on the interactions between the ecological processes (especially in relation to global change and human uses) and conservation actions. We hope that this project will contribute to the definition of public policy for the management of biodiversity. To complement the dataset available for sub-Saharan Africa, the project will initially focus on Central and Western Africa and Madagascar where the data are mostly scattered and unpublished.

Ajustements comportementaux des grands mammifères en réponse aux activités humaines à l’interface d’une aire protégée en savane africaine, Zimbabwe – Mobilité des animaux et perméabilité de la zone d’interface (PEPS ECOMOB PERMEAB 2019)

Le projet a pour but d’étudier la réponse spatiale et temporelle de la communauté de grands mammifères d’une zone d’interface de savane tropicale africaine. La zone d'étude sélectionnée se situe à l’interface entre le parc national de Hwange et les zones villageoises en périphérie au sein de la Zone Atelier Hwange (Hwange LTSER) au Zimbabwe. Elle se caractérise par un gradient d’intensité agro-pastoral et d'utilisation des ressources naturelles, allant de la zone intégralement exempte à l’intérieur du parc aux zones villageoises en périphérie. Par l’étude de la dynamique journalière des probabilités de présence de la grande faune le long du gradient, ce projet permettra d’étudier (1) les rythmes d’activités et la dynamique d’occupation spatiale des espèces, (2) d’évaluer la perméabilité de la zone d’interface, (3) d’identifier les activités humaines qui agissent comme des catalyseurs ou inhibiteurs de la connectivité écologique de ce territoire d'interface. Ainsi, l’impact des pratiques agricoles, l’occupation/densité humaine et les effets inhérents à la présence de l’homme dans le paysage et des espèces domestiques (e.g. bétail et chien) sur cette perméabilité sera étudiée. Même si les méthodologies permettront de mesurer comment la structure de la communauté de grands mammifères évolue le long du gradient, une attention particulière sera portée aux déplacements encore mal connus des espèces plus discrètes (e.g. kudus, impalas, hypotragues, carnivores…).


Current Ph.D. students (due defense year)

Lorena Mansilla (2019) : Demography of social animal species / Démographie des espèces animales sociales. U. Montpellier

Sébastien Roques (2020) : Threshold effect in the triggering of biological phenomena / Effet de seuil dans le déclenchement des phénomènes biologiques —reproduction, migration. U. Toulouse

Annabelle Vidal (2020) : Suburban populations of the endemic Cuban lizard, : How do they persist? / Populations suburbaines d’un lézard endémique de Cuba, Anolis homolechis: comment se maintiennent-elles ? U. des Antilles

Frédéric Letourneux Letourneux (2021) : Impact of recent hunting regulation changes on survival and mortality mechanisms of the greater snow goose / Étude sur l'impact de changements de règlements de chasse sur la dynamique de population et la démographie de la grande oie des neiges. U. Laval, Québec, Canada


Journal articles (last 5 years)

complete list

Antica Culina, Danielle Marie Linton, Roger Pradel, Sandra Bouwhuis, David Macdonald. Live fast, don't die young: Survival–reproduction trade‐offs in long‐lived income breeders. Journal of Animal Ecology, Wiley, 2019, 88 (5), pp.746-756. ⟨10.1111/1365-2656.12957⟩. ⟨hal-02125696⟩

Simone Tenan, Giacomo Tavecchia, Daniel Oro, Roger Pradel. Assessing the effect of density on population growth when modeling individual encounter data. Ecology, 100(3), 2019, e02595. ⟨10.1002/ecy.2595⟩. ⟨hal-02104959⟩

Chris Oosthuizen, Martin Postma, Res Altwegg, Marie Nevoux, Roger Pradel, Marthán N. Bester, P. J. Nico de Bruyn. Individual heterogeneity in life‐history trade‐offs with age at first reproduction in capital breeding elephant seals. Population Ecology, Springer Verlag, 2019, ⟨10.1002/1438-390X.12015⟩. ⟨hal-02177472⟩

Dorine Jansen, Roger Pradel, Rafael Mares, Claire Doutrelant, Claire Spottiswoode, Rita Covas, Res Altwegg. 2019. An integrated population model sheds light on the complex population dynamics of a unique colonial breeder. Population Ecology, Springer Verlag, In press, ⟨10.1002/1438-390X.12010⟩. ⟨hal-02161587⟩

Dimas Gianuca, Stephen C. Votier, Deborah Pardo, Andrew G. Wood, Richard B. Sherley, Louise Ireland, Remi Choquet, Roger Pradel, Stuart Townley, Jaume Forcada, Geoffrey N. Tuck, Richard A. Phillips. Sex‐specific effects of fisheries and climate on the demography of sexually dimorphic seabirds. Journal of Animal Ecology, Wiley, 2019, ⟨10.1111/1365-2656.13009⟩. ⟨hal-02161559⟩

Loreleï Guéry, Lauriane Rouan, Sébastien Descamps, Joël Bêty, Albert Fernández-Chacón, Grant Gilchrist, Roger Pradel. Covariate and multinomial: Accounting for distance in movement in capture–recapture analyses. Ecology and Evolution, Wiley Open Access, 2019, 9 (2), 818-824. ⟨10.1002/ece3.4827⟩. ⟨hal-02104964⟩

Tamar Lok, Chris Hassell, Theunis Piersma, Roger Pradel, Olivier Gimenez. Accounting for heterogeneity when estimating stopover duration, timing and population size of red knots along the Luannan Coast of Bohai Bay, China. Ecology and Evolution, Wiley Open Access, 2019, 9 (11), pp.6176-6188. ⟨10.1002/ece3.5139⟩. ⟨hal-02161561⟩

Chris Oosthuizen, Roger Pradel, Marthan Bester, P J Nico de Bruyn. Making use of multiple surveys: Estimating breeding probability using a multievent‐robust design capture–recapture model. Ecology and Evolution, Wiley Open Access, 2019, 9 (2), 836-848. ⟨10.1002/ece3.4828⟩. ⟨hal-02104952⟩

Sanz-Aguilar, A., R. Pradel, and G. Tavecchia. Age-dependent capture-recapture models and unequal time intervals. Animal Biodiversity and Conservation, 2019, 42 (1), 91-98. ⟨hal-01911556⟩

Bancila, R. I., R. Pradel, R. Choquet, R. Plaisu, and O. Gimenez. 2018. Using temporary emigration to inform movement behaviour of cave-dwelling invertebrates : a case study of a cave harvestman species. Ecological Entomology (2018), 43 (5), 551–559. DOI: 10.1111/een.12645

Cayuela, H., R. Pradel, P. Joly, E. Bonnaire, and A. Besnard. 2018. Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling. Ecology, 99 (5), 1150 - 1163. ⟨10.1002/ecy.2195⟩. ⟨hal-01797399⟩

Dupont, P., D. Allainé, A. Cohas, and R. Pradel. 2018. Testing determinants of the annual individual fitness: an overall mean mixture model for de-lifing data. Methods in Ecology and Evolution 9(3): 668–680. ⟨10.1111/2041-210X.12908 ⟩. ⟨hal-01911550⟩

Gimenez, O., J. Lebreton, R. Choquet, and R. Pradel. 2018. R2ucare: An R package to perform goodness-of-fit tests for capture-recapture models. Methods in Ecology and Evolution, 9(7): 1749-1754. ⟨hal-01911548⟩

Groner, M. L., J. M. Hoenig, R. Pradel, R. Choquet, W. K. Vogelbein, D. T. Gauthier, and M. A. M. Friedrichs. 2018. Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay. Ecology and Evolution, 8(18): 9384-9897.

Jeyam, A., R. S. McCrea, and R. Pradel. 2018. A test of positive association for detecting heterogeneity in capture for capture-recapture data. JABES 23(1):1–19. ⟨hal-01911549⟩

Maris, V., P. Huneman, A. Coreau, S. Kéfi, R. Pradel, and V. Devictor. 2018. Prediction in ecology: promises, obstacles and clarifications. Oikos 127:171–183.

Pluntz, M., S. Le Coz, N. Peyrard, R. Pradel, R. Choquet, and P. Cheptou. 2018. A general method for estimating seed dormancy and colonization in annual plants from the observation of existing flora. Ecology Letters 21:1311–1318.

Simon, J. A., R. Pradel, D. Aubert, R. Geers, I. Villena, and M.-L. Poulle. 2018. A multi-event capture-recapture analysis of Toxoplasma gondii seroconversion dynamics in farm cats. Parasites & Vectors 11:339. ⟨10.1186/s13071-018-2834-4⟩. ⟨hal-01911552⟩

Cayuela, H., R. Pradel, P. Joly, and A. Besnard. 2017. Analyzing movement behavior and dynamic space-use strategies among habitats using multi-event capture-recapture modeling. Methods in Ecology and Evolution 8(9):1124–1132.

Fluhr, J., H. Strøm, R. Pradel, O. Duriez, G. Beaugrand, and S. Descamps. 2017. Weakening of the subpolar gyre as a key driver of North Atlantic seabird demography: a case study with Brünnich’s guillemots in Svalbard. Marine Ecology Progress Series 563:1–11.

Guéry, L., S. Descamps, R. Pradel, S. A. Hanssen, K. E. Erikstad, G. W. Gabrielsen, H. G. Gilchrist, and J. Bêty. 2017. Hidden survival heterogeneity of three Common eider populations in response to climate fluctuations. Journal of Animal Ecology 86(3):683–693.

Hoenig, J. M., M. L. Groner, M. W. Smith, W. K. Vogelbein, D. M. Taylor, D. F. J. Landers, J. T. Swenarton, D. T. Gauthier, P. Sadler, M. A. Matsche, A. N. Haines, H. J. Small, R. Pradel, R. Choquet, and J. D. Shields. 2017. Impact of disease on the survival of three commercially fished species. Ecological Applications 27(7):2116–2127.

Lagrange, P., O. Gimenez, B. Doligez, R. Pradel, D. Garant, F. Pelletier, and M. Bélisle. 2017. Assessment of individual and conspecific reproductive success as determinants of breeding dispersal of female tree swallows: a capture-recapture approach. Ecology and Evolution 7(18):7334–7346.

Manna, F., R. Pradel, R. Choquet, H. Fréville, and P.-O. Cheptou. 2017. Disentangling the role of seed bank and dispersal in plant metapopulation dynamics using patch occupancy surveys. Ecology 98(10):2662–2672.

Pardo, D., J. Forcada, A. G. Wood, G. Tuck, L. Ireland, R. Pradel, J. P. Croxall, and R. Phillips. 2017. Additive effects of climate and fisheries drive ongoing declines in multiple albatross species. Proceedings of the National Academy of Sciences of the United States of America 114(50): E10829-E10837.

Cézilly, F., A. Quinard, S. Motreuil, and R. Pradel. 2016. Adult survival selection in relation to multilocus heterozygosity and body size in a tropical bird species, the Zenaida dove, Zenaida aurita. Oecologia 180(1):127–136.

Payo-Payo, A., M. Genovart, A. Bertolero, R. Pradel, and D. Oro. 2016. Consecutive cohort effects driven by density-dependence and climate influence early-life survival in a long-lived bird. Proceedings of the Royal Society B: Biological Sciences 283(1829):20153042.

Péron, G., J.-M. Gaillard, C. Barbraud, C. Bonenfant, A. Charmantier, R. Choquet, T. Coulson, V. Grosbois, A. Loison, G. Marzolin, N. Owen-Smith, D. Pardo, F. Plard, R. Pradel, C. Toigo, and O. Gimenez. 2016. Evidence of reduced individual heterogeneity in adult survival of long-lived species. Evolution 70(12):2909–2914.

Perrot, C., A. Béchet, C. Hanzen, A. Arnaud, R. Pradel, and F. Cézilly. 2016. Sexual display complexity varies non-linearly with age and predicts breeding status in greater flamingos. Scientific Reports 6:36242.

Tavecchia, G., S. Tenan, R. Pradel, J.-M. Igual, M. Genovart, and D. Oro. 2016. Climate-driven vital rates do not always mean climate-driven population. Global Change Biology 22:3960-3966.

Vogt-Schilb, H., R. Pradel, P. Geniez, L. Hugot, A. Delage, F. Richard, and B. Schatz. 2016. Responses of orchids to habitat change in Corsica over 27 years. Annals of Botany 118(1):115–123.

Acker, P., A. Grégoire, M. Rat, C. N. Spottiswoode, R. E. van Dijk, M. Paquet, J. C. Kaden, R. Pradel, B. J. Hatchwell, R. Covas, and C. Doutrelant. 2015. Disruptive viability selection on a black plumage trait associated with dominance. Journal of Evolutionary Biology 28(11):2027–2041.

Dupont, P., R. Pradel, S. Lardy, D. Allainé, and A. Cohas. 2015. Litter sex composition influences dominance status of Alpine marmots (Marmota marmota). Oecologia 179(3):753–763.

Hernández-Matías, A., J. Real, F. Parés, and R. Pradel. 2015. Electrocution threatens the viability of populations of the endangered Bonelli’s eagle (Aquila fasciata) in Southern Europe. Biological Conservation 191:110–116.

Mouquet, N., Y. Lagadeuc, V. Devictor, L. Doyen, A. Duputié, D. Eveillard, D. Faure, E. Garnier, O. Gimenez, P. Huneman, F. Jabot, P. Jarne, D. Joly, R. Julliard, S. Kefi, G. J. Kergoat, S. Lavorel, L. Legall, L. Meslin, S. Morand, X. Morin, H. Morlon, G. Pinay, R. Pradel, F. M. Schurr, W. Thuiller, M. Loreau, S. Kéfi, G. J. Kergoat, S. Lavorel, L. Le Gall, L. Meslin, S. Morand, X. Morin, H. Morlon, G. Pinay, R. Pradel, F. M. Schurr, W. Thuiller, and M. Loreau. 2015. Predictive ecology in a changing world. Journal of Applied Ecology 52(5):1293–1310.

Sanz-Aguilar, A., R. Jovani, C. J. Melián, R. Pradel, and J. L. Tella. 2015. Multi-event capture-recapture analysis reveals individual foraging specialization in a generalist species. Ecology 96(6):1650–1660.

Souchay, G., G. Gauthier, J. Lefebvre, and R. Pradel. 2015. Absence of difference in survival between two distant breeding sites of greater snow geese. Journal of Wildlife Management 79(4):570–578.


The following studies are or could be framed as multievent studies

Dispersal:
Doligez et al (2012) Estimation and comparison of heritability and parent–offspring resemblance in dispersal probability from capture–recapture data using different methods: the Collared Flycatcher as a case study. J Ornithol (2012) 152 (Suppl 2):S539–S554
Gillingham MAF, Cézilly F, Wattier R, Béchet A (2013) Evidence for an Association between Post-Fledging Dispersal and Microsatellite Multilocus Heterozygosity in a Large Population of Greater Flamingos. PLoS ONE 8(11): e81118.
Doxa A et al (2013) Inferring dispersal dynamics from local population demographic modelling: the case of the slender-billed gull in France. Animal Conservation 16 684–693.
Fernández-Chacón, A., M. Genovart, R. Pradel, G. Tavecchia, A. Bertolero, J. Piccardo, M. G. Forero, I. Afán, J. Muntaner, and D. Oro. 2013. When to stay, when to disperse and where to go: survival and dispersal patterns in a spatially structured seabird population. Ecography 36(10):1117–1126.
Gourlay-Larour, M.-L., R. Pradel, M. Guillemain, J.-S. Guitton, M. L’Hostis, H. Santin-Janin, and A. Caizergues. 2014. Movement patterns in a partial migrant: A multi-event capture-recapture approach. PLoS ONE 9(5):e96478.
Lagrange, P., R. Pradel, M. Bélisle, and O. Gimenez. 2014. Estimating dispersal among numerous sites using capture-recapture data. Ecology 95(8):2316–2323.
Hardouin et al (2014) Meteorological conditions influence short-term survival and dispersal in a reinforced bird population. Journal of Applied Ecology 2014, 51, 1494–1503
Souchay, G., G. Gauthier, J. Lefebvre, and R. Pradel. 2015. Absence of difference in survival between two distant breeding sites of greater snow geese. Journal of Wildlife Management 79(4):570–578.
Barthold et al (2016) Dead or gone? Bayesian inference on mortality for the dispersing sex. Ecology and Evolution 6(14): 4910-4923
Tournier et al. (2017) Manipulating waterbody hydroperiod affects movement behaviour and occupancy dynamics in an amphibian. Freshwater Biology. 2017;62:1768–1782.
Cayuela, H., Pradel, R., Joly, P., & Besnard, A. (2017). Analyzing movement behavior and dynamic space-use strategies among habitats using multi-event capture–recapture modeling. Methods in Ecology and Evolution 2017, 8, 1124–1132
Acker et al (2017) Insights on dispersal and recruitment paradigms: sex‑and age‑dependent variations in a nomadic breeder. Oecologia DOI 10.1007/s00442-017-3972-7 clip_image001.png
Lagrange et al 2017. Assessment of individual and conspecific reproductive success as determinants of breeding dispersal of female tree swallows: A capture–recapture approach. Ecology and Evolution. 7:7334–7346
Avril A, Letty J, Pradel R, Léonard Y, Santin-Janin H, Pontier D (2012). A multi-event model to study stage-dependence dispersal in radio-collared hares: when hunting promotes costly transience. Ecology 93:1305-1316.
Cayuela, H., R. Pradel, P. Joly, E. Bonnaire, and A. Besnard. 2018. Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling. Ecology.
Balkız Ö, Béchet A, Rouan L, Choquet R, Germain C, Aguilar Amat J, Rendón-Martos M, Baccetti N, Nissardi S, Özesmi U, Pradel R (2010) Experience-dependent natal philopatry of breeding Greater flamingos. Journal of Animal Ecology 79:1045-1056.
Devillard, S. and Y. Bray (2009). Assessing the effect on survival of natal dispersal using multistate capture-recapture models. Ecology 90(10): 2902-2912.
Doxa A, Besnard A, Bechet A, Pin C, Lebreton JD, Sadoul N (2013) Inferring dispersal dynamics from local population demographic modelling: the case of the slender-billed gull in France. Animal Conservation 16:684-693
Gauthier G, Milot E, Weimerskirch H (2012). Estimating dispersal, recruitment and survival in a biennially breeding species, the Wandering Albatross. Journal of Ornithology 152:S457-S467. 10.1007/s10336-010-0541-9 clip_image001.png
Epidemiology:
Lachish S, Bonsall MB, Lawson B, Cunningham AA, Sheldon BC (2012) Individual and Population-Level Impacts of an Emerging Poxvirus Disease in a Wild Population of Great Tits. PLoS ONE 7(11): e48545
Choquet et al (2013) Estimating transitions between states using measurements with imperfect detection: application to serological data. Ecology, 94(10), 2013, pp. 2160–2165
Santoro et al 2014. Multi-event capture–recapture modeling of host–pathogen dynamics among European rabbit populations exposed to myxoma and Rabbit Hemorrhagic Disease Viruses: common and heterogeneous patterns. Veterinary Research, 45:39
Buzdugan et al (2017) Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis. SCIENTIFIC RepoRts 7: 1111
Chambert T, Staszewski V, Lobato E, Choquet R, Carrie C, McCoy KD, Tveraa T, Boulinier T (2012). Exposure of black-legged kittiwakes to Lyme disease spirochetes: dynamics of the immune status of adult hosts and effects on their survival. Journal of Animal Ecology 81:986-995. 10.1111/j.1365-2656.2012.01979.x clip_image001.png
Conn, P. B. and E. G. Cooch (2009). Multistate capture-recapture analysis under imperfect state observation: an application to disease models. Journal of Applied Ecology 46(2): 486-492.
Cooch EG, Conn PB, Ellner SP, Dobson AP, Pollock KH (2009). Disease dynamics in wild populations: modeling and estimation: a review. Journal of Ornithology 152:S485-S509. 10.1007/s10336-010-0636-3 clip_image001.png
Lachish S, Knowles SCL, Alves R, Wood MJ, Sheldon BC (2011). Infection dynamics of endemic malaria in a wild bird population: parasite species-dependent drivers of spatial and temporal variation in transmission rates. Journal of Animal Ecology 80:1207-1216. 10.1111/j.1365-2656.2011.01893.x clip_image001.png
Individual heterogeneity:
Fletcher et al (2012) Bias in estimation of adult survival and asymptotic population growth rate caused by undetected capture heterogeneity. Methods in Ecology and Evolution 2012, 3, 206-216
Caniglia et al (2012) An improved procedure to estimate wolf abundance using non-invasive genetic sampling and capture–recapture mixture models. Conserv Genet (2012) 13:53–64
Chevallier et al (2013) Use of mixture models to characterize site quality in philopatric animals: a case study with Bonelli's eagle. Animal Conservation 16 (2013) 198–206
Doxa A et al (2013) Inferring dispersal dynamics from local population demographic modelling: the case of the slender-billed gull in France. Animal Conservation 16 684–693.
Bonnet et al (2013) How the common vole copes with modern farming: Insights from a capture–mark–recapture experiment. Agriculture, Ecosystems and Environment 177 (2013) 21-27
Abadi F, Botha A, Altwegg R (2013) Revisiting the Effect of Capture Heterogeneity on Survival Estimates in Capture-Mark-Recapture Studies: Does It Matter? PLoS ONE 8(4): e62636
Lindberg et al (2013) Individual heterogeneity in black brant survival and recruitment with implications for harvest dynamics. Ecology and Evolution 2013; 3(12): 4045-4056
Barbraud C, Tuck GN, Thomson R, Delord K, Weimerskirch H (2013) Fisheries Bycatch as an Inadvertent Human-Induced Evolutionary Mechanism. PLoSONE 8(4): e60353
Guillemain, M., R. Pradel, O. Devineau, G. Simon, and M. Gauthier-Clerc. 2014. Demographic heterogeneity among individuals can explain the discrepancy between capture-mark-recapture and waterfowl count results. Condor 116(3):293–302.
Gourlay-Larour, M.-L., R. Pradel, M. Guillemain, J.-S. Guitton, M. L’Hostis, H. Santin-Janin, and A. Caizergues. 2014. Movement patterns in a partial migrant: A multi-event capture-recapture approach. PLoS ONE 9(5):e96478.
Schmaltz et al (2015) Apparent annual survival of staging ruffs during a period of population decline: insights from sex and site-use related differences. Popul Ecol (2015) 57:613–624
Gervasi V et al (2016) Sharing data improves monitoring of trans-boundary populations: the case of wolverines in central Scandinavia. Wildlife Biology, 22(3):95-106
Fay et al (2016) Variation in the age of first reproduction: different strategies or individual quality? Ecology, 97(7), 2016, pp. 1842–1851
Guéry et al. 2017. Hidden survival heterogeneity of three Common eider populations in response to climate fluctuations. Journal of Animal Ecology 2017, 86, 683–693.
Gimenez O, Cam E, Gaillard J-M (2017) Individual heterogeneity and capture–recapture models: what, why and how? Oikos 000: 001–021, 2017
Jenouvrier S, Aubry LM, Barbraud C, Weimerskirch H, Caswell H. Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar. J Anim Ecol. 2017;00:1–11.
Péron, G., J.-M. Gaillard, C. Barbraud, C. Bonenfant, A. Charmantier, R. Choquet, T. Coulson, V. Grosbois, A. Loison, G. Marzolin, N. Owen-Smith, D. Pardo, F. Plard, R. Pradel, C. Toigo, and O. Gimenez. 2016. Evidence of reduced individual heterogeneity in adult survival of long-lived species. Evolution 70(12):2909–2914.
Cam E, Gimenez O, Alpizar-Jara R, Aubry LM, Authier M, Cooch EG, Koons DN, Link WA, Monnat J-Y, Nichols JD, Rotella JJ, Royle JA, Pradel R (2013). Looking for a needle in a haystack: inference about individual fitness components in a heterogeneous population. Oikos. 122: 739-753.
Crespin, L., R. Choquet, et al. (2008). "Is heterogeneity of catchability in capture-recapture studies a mere sampling artifact or a biologically relevant feature of the population?" Population Ecology 50(3): 247-256.
Cubaynes S, Lavergne C, Marboutin E, Gimenez O (2012). Assessing individual heterogeneity using model selection criteria: how many mixture components in capture-recapture models? Methods in Ecology and Evolution 3:564-573. 10.1111/j.2041-210X.2011.00175.x clip_image001.png
Cubaynes, S., R. Pradel, et al. (2010). "Importance of Accounting for Detection Heterogeneity When Estimating Abundance: the Case of French Wolves." Conservation Biology 24(2): 621-626.
Fletcher D, Lebreton JD, Marescot L, Schaub M, Gimenez O, Dawson S, Slooten E (2012). Bias in estimation of adult survival and asymptotic population growth rate caused by undetected capture heterogeneity. Methods in Ecology and Evolution 3:206-216. 10.1111/j.2041-210X.2011.00137.x clip_image001.png
Gimenez, O. and R. Choquet (2010). "Individual heterogeneity in studies on marked animals using numerical integration: capture-recapture mixed models." Ecology 91(4): 951-957.
Gourlay Larour M-L, Pradel R, Guillemain M, Santin-Janin H, L'Hostis M, Caizergues A (2013) Individual turnover in Common Pochards wintering in western France. Journal of Wildlife Management: 77(3): 477-485.
Marescot L, Pradel R, Duchamp C, Cubaynes S, Marboutin E, Choquet R, Miquel C, Gimenez O (2011) Capture-recapture population growth rate as a robust tool against detection heterogeneity for population management. Ecological Applications 21:2898-2907.
Marzolin G, Charmantier A, Gimenez O (2011). Frailty in state-space models: application to actuarial senescence in the Dipper. Ecology 92:562-567. 10.1890/10-0306.1 clip_image001.png
Oliver LJ, Morgan BJT, Durant SM, Pettorelli N (2011). Individual heterogeneity in recapture probability and survival estimates in cheetah. Ecological Modelling 222:776-784. 10.1016/j.ecolmodel.2010.11.021 clip_image001.png
Peron, G., P. A. Crochet, et al. (2010). "Capture-recapture models with heterogeneity to study survival senescence in the wild." Oikos 119(3): 524-532.
Peron, G., J. D. Lebreton, et al. (2010). "Breeding dispersal in black-headed gull: the value of familiarity in a contrasted environment." Journal of Animal Ecology 79(2): 317-326.
Pradel R, Choquet R, Lima MA, Merritt JF, Crespin L (2010) Estimating population growth rate from capture-recapture data in presence of capture heterogeneity. Journal of Agricultural, Biological and Environmental Statistics 15:248-258. 10.1007/s13253-009-0008-8 clip_image001.png
Veran, S., O. Gimenez, et al. (2007). "Quantifying the impact of longline fisheries on adult survival in the black-footed albatross." Journal of Applied Ecology 44(5): 942-952.
Mixture of information, Trap-dependency, Radio failure, Tag loss:
Fletcher et al (2012) Bias in estimation of adult survival and asymptotic population growth rate caused by undetected capture heterogeneity. Methods in Ecology and Evolution 2012, 3, 206-216
Tavecchia G, Adrover J, Muñoz Navarro A, Pradel R (2012) Modelling mortality causes in longitudinal data in the presence of tag loss: application to raptor poisoning and electrocution. Journal of Applied Ecology 49:297-305.
Pradel R, Sanz-Aguilar A (2012) Modeling Trap-Awareness and Related Phenomena in Capture-Recapture Studies. PLOS One 7:e32666.
Kendall et al 2013. Combinin g dead recovery, auxiliary observations and robust design data to estimate demographic parameters from marked individuals. Methods in Ecology and Evolution 2013, 4, 828–835
Souchay, G., G. Gauthier, and R. Pradel. 2014. To breed or not: A novel approach to estimate breeding propensity and potential trade-offs in an Arctic-nesting species. Ecology 95(10):2745–2756.
Mihoub et al (2014) Comparing the effects of release methods on survival of the Eurasian black vulture Aegypius monachus reintroduced in France. Oryx, 48(1), 106–115
Reisinger RR, Oosthuizen WC, Péron G, Cory Toussaint D, Andrews RD, et al. (2014) Satellite Tagging and Biopsy Sampling of Killer Whales at Subantarctic Marion Island: Effectiveness, Immediate Reactions and Long-Term Responses. PLoS ONE 9(11): e111835
Souchay, G., G. Gauthier, J. Lefebvre, and R. Pradel. 2015. Absence of difference in survival between two distant breeding sites of greater snow geese. Journal of Wildlife Management 79(4):570–578.
Ruette et al (2015) Comparative survival pattern of the syntopic pine and stone martens in a trapped rural area in France. Journal of Zoology 295 (2015) 214–222
Sanz‑Aguilar et al 2015. Age‑dependent survival of island vs. mainland populations of two avian scavengers: delving into migration costs. Oecologia 179:405–414
Chapple et al. (2016) A novel application of multi-event modeling to estimate class segregation in a highly migratory oceanic vertebrate. Ecology, 97(12), 2016, pp. 3494–3502
Payo-Payo, A., M. Genovart, A. Bertolero, R. Pradel, and D. Oro. 2016. Consecutive cohort effects driven by density-dependence and climate influence early-life survival in a long-lived bird. Proceedings of the Royal Society B: Biological Sciences 283(1829):20153042.
Genovart et al. (2016) Demography of the critically endangered Balearic shearwater: the impact of fisheries and time to extinction. Journal of Applied Ecology 2016, 53, 1158–1168
Hernandez et al (2017) Environmental conditions, age, and senescence differentially influence survival and reproduction in the Storm Petrel. J Ornithol 158:113–123
Matovic et al (2017) Disentangling the effects of predation and oceanographic fluctuations in the mortality of two allopatric seabird populations. Popul Ecol 59:225–238
Tosoni et al (2017) Assessment of key reproductive traits in the Apennine brown bear population. Ursus 28(1):105–116
Pacoureau et al. (2017) Early-life density-dependence effects on growth and survival in subantarctic fur seals. Popul Ecol (2017) 59:139–155
Duriez, O., S. A. Saether, et al. (2009). "Estimating survival and movements using both live and dead recoveries: a case study of oystercatchers confronted with habitat change." Journal of Applied Ecology 46(1): 144-153.
Gauthier, G. and J. D. Lebreton (2008). "Analysis of band-recovery data in a multistate capture-recapture framework." Canadian Journal of Statistics-Revue Canadienne De Statistique 36(1): 59-73.
Hardouin LA, Nevoux M, Robert A, Gimenez O, Lacroix F, Hingrat Y (2012). Determinants and costs of natal dispersal in a lekking species. Oikos 121:804-812. 10.1111/j.1600-0706.2012.20313.x clip_image001.png
Juillet C, Choquet R, Gauthier G, Pradel R (2011) A capture-recapture model with double-marking, live and dead encounters, and heterogeneity of reporting due to auxiliary mark loss. Journal of Agricultural, Biological and Environmental Statistics 16:88-104.
Péron G, Ferrand Y, Choquet R, Pradel R, Gossmann F, Bastat C, Guénézan M, Bauthian I, Julliard R, Gimenez O (2012) Spatial heterogeneity in mortality and its impact on the population dynamics of Eurasian woodcocks. Population Ecology 54:305-312. 10.1007/s10144-012-0309-6 clip_image001.png
Sanz-Aguilar A, Tavecchia G, Genovart M, Igual JM, Oro D, Rouan L, Pradel R (2011) Studying the reproductive skipping behavior in long-lived birds by adding nest-inspection to individual-based data. Ecological Applications 21:555-564.
Recruitment and breeding probability:
Pardo, D., J. Forcada, A. G. Wood, G. Tuck, L. Ireland, R. Pradel, J. P. Croxall, and R. Phillips. 2017. Additive effects of climate and fisheries drive ongoing declines in multiple albatross species. P Natl Acad Sci USA. In press
Melin et al (2012) Age-specific recruitment and natality of California sea lions at San Miguel Island, California. MARINE MAMMAL SCIENCE, 28(4): 751–776
Reichert et al (2012) Extreme weather and experience influence reproduction in an endangered bird. Ecology, 93(12), 2012, pp. 2580–2589
Barbraud & Weimerskirch (2012) Estimating survival and reproduction in a quasi-biennially breeding seabird with uncertain and unobservable states. J Ornithol (2012) 152 (Suppl 2):S605–S615
Desprez et al (2013) Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture–recapture models. Ecology and Evolution 2013; 3(14): 4658-4668
Desprez M, Harcourt R, Hindell MA, Cubaynes S, Gimenez O, McMahon CR. 2014 Age-specific cost of first reproduction in female southern elephant seals. Biol. Lett. 10: 20140264.
Soldatini C, Albores-Barajas YV, Massa B, Gimenez O (2014) Climate Driven Life Histories: The Case of the Mediterranean Storm Petrel. PLoS ONE 9(4): e94526.
Goutte et al (2014) Demographic consequences of heavy metals and persistent organic pollutants in a vulnerable long-lived bird, the wandering albatross. Proc. R. Soc. B 281 : 20133313
Goutte et al (2014) Demographic responses to mercury exposure in two closely related Antarctic top predators. Ecology, 95(4), 1075–1086
Costantini D, Goutte A, Barbraud C, Faivre B, Sorci G, Weimerskirch H, et al. (2015) Demographic Responses to Oxidative Stress and Inflammation in the Wandering Albatross ( Diomedea exulans). PLoS ONE 10(8): e0133967.
Paquet et al (2015) Antagonistic effect of helpers on breeding male and female survival in a cooperatively breeding bird. Journal of Animal Ecology 2015, 84, 1354–1362
Fay et al (2015) Population density and climate shape early-life survival and recruitment in a long-lived pelagic seabird. Journal of Animal Ecology 2015, 84, 1423–1433
Goutte et al (2015) Survival rate and breeding outputs in a high Arctic seabird exposed to legacy persistent organic pollutants and mercury. Environmental Pollution 200 (2015) 1-9
Sanz-Aguilar et al (2015) Action on multiple fronts, illegal poisoning and wind farm planning, is required to reverse the decline of the Egyptian vulture in southern Spain. Biological Conservation 187 (2015) 10–18
Fay R, Barbraud C, Delord K, Weimerskirch H. 2016 Paternal but not maternal age influences early-life performance of offspring in a long-lived seabird. Proc. R. Soc. B 283 : 20152318.
Sanz-Aguilar_et_al-2016. Estimating recruitment and survival in partially monitored populations. Journal of Applied Ecology 2016, 53, 73–82
Genovart et al. (2016) Demography of the critically endangered Balearic shearwater: the impact of fisheries and time to extinction. Journal of Applied Ecology 2016, 53, 1158–1168
Fay R, Barbraud C, Delord K, Weimerskirch H (2017) Contrasting effects of climate and population density over time and life stages in a long-lived seabird. Functional Ecology, 31, 1275–1284
Desprez M, Pradel R, Cam E, Monnat J-Y, Gimenez O (2011) Now you see him, now you don't: experience, not age, is related to reproduction in kittiwakes. Proceedings of the Royal Society of London Series B-Biological Sciences 278:3060-3066.
Hernández-Matías, A., J. Real, et al. (2010). "Determinants of territorial recruitment in Bonelli’s eagle (Aquila fasciata) populations." Auk 127(1): 173-184.
Juillet C, Choquet R, Gauthier G, Lefebvre J, Pradel R (2012) Carry-over effects of spring hunt and climate on recruitment to the natal colony in a migratory species. Journal of Applied Ecology: 49: 1237-1246. 10.1111/j.1365-2664.2012.02199.x clip_image001.png
Lescroel, A., K. M. Dugger, et al. (2009). "Effects of individual quality, reproductive success and environmental variability on survival of a long-lived seabird." Journal of Animal Ecology 78(4): 798-806.
Lorentzen E, Choquet R, Steen H (2012). Modelling state uncertainty with photo series data for the estimation of breeding success in a cliff-nesting seabird. Journal of Ornithology 152:S477-S483. 10.1007/s10336-011-0723-0 clip_image001.png
Millon, A., S. J. Petty, et al. (2010). "Pulsed resources affect the timing of first breeding and lifetime reproductive success of tawny owls." Journal of Animal Ecology 79(2): 426-435.
Pradel R, Choquet R, Béchet A (2012) Breeding experience might be a major determinant of breeding probability in long-lived species: the case of the greater flamingo. PLOS One 7(12): e51016.
Reed, E. T., G. Gauthier, et al. (2005). "Effects of neck bands on reproduction and survival of female greater snow geese." Journal of Wildlife Management 69(1): 91-100.
Sanz-Aguilar, A., G. Tavecchia, et al. (2008). "The cost of reproduction and experience-dependent vital rates in a small petrel." Ecology 89(11): 3195–3203.
Schmaltz L, Cezilly F, Bechet A (2011). Using multistate recapture modelling to assess age-specific bottlenecks in breeding success: a case study in the greater flamingo Phoenicopterus roseus. Journal of Avian Biology 42:178-186. 10.1111/j.1600-048X.2010.05112.x clip_image001.png
Tavecchia, G., R. Pradel, et al. (2007). "Density-dependent parameters and demographic equilibrium in open populations." Oikos 116(9): 1481-92.
Causes of mortality:
Etterson (2013) Hidden Markov models for estimating animal mortality from anthropogenic hazards. Ecological Applications, 23(8), 2013, pp. 1915–1925
Hardouin et al (2015) Survival and movement of translocated houbara bustards in a mixed conservation area. Animal Conservation 18 (2015) 461–470
Ruette et al (2015) Comparative survival pattern of the syntopic pine and stone martens in a trapped rural area in France. Journal of Zoology 295 (2015) 214–222
Hernández-Matías, A., J. Real, F. Parés, and R. Pradel. 2015. Electrocution threatens the viability of populations of the endangered Bonelli’s eagle (Aquila fasciata) in Southern Europe. Biological Conservation 191:110–116.
Fernández-Chacón A et al (2015) Demographic effects of full vs. partial protection from harvesting: inference from an empirical before–after control-impact study on Atlantic cod. Journal of Applied Ecology 2015, 52, 1206–1215
Gervasi V et al (2016) Sharing data improves monitoring of trans-boundary populations: the case of wolverines in central Scandinavia. Wildlife Biology, 22(3):95-106
Fernández-Chacón A et al (2017) Causes of mortality in depleted populations of Atlantic cod estimated from multi-event modelling of mark–recapture and recovery data. Journal Canadien des sciences halieutiques et aquatiques, 2017, 74(1): 116-126
Kleiven AR, Fernandez-Chacon A, Nordahl J-H, Moland E, Espeland SH, Knutsen H, et al. (2016) Harvest Pressure on Coastal Atlantic Cod (Gadus morhua) from Recreational Fishing Relative to Commercial Fishing Assessed from Tag-Recovery Data. PLoS ONE11(3): e0149595
Genovart M, Doak DF, Igual J-M, Sponza S, Kralj J, Oro D (2017) Varying demographic impacts of different fisheries on three Mediterranean seabird species. Glob Change Biol. 23: 3012–3029.
Schaub, M. and R. Pradel (2004). "Assessing the relative importance of different sources of mortality from recoveries of marked animals." Ecology 85(4): 930-8.
Tavecchia G, Adrover J, Muñoz Navarro A, Pradel R (2012) Modelling mortality causes in longitudinal data in the presence of tag loss: application to raptor poisoning and electrocution. Journal of Applied Ecology 49:297-305.
Sex, age, species uncertainty:
Santoro S, Green AJ, Figuerola J (2013) Environmental Instability as a Motor for Dispersal: A Case Study from a Growing Population of Glossy Ibis. PLoS ONE 8(12): e8298
Santoro et al. 2016. Immigration enhances fast growth of a newly established source population. Ecology, 97(4), 2016, pp. 1048–1057
Cayuela, H., D. Arsovski, E. Bonnaire, R. Duguet, P. Joly, and A. Besnard. 2016. The impact of severe drought on survival, fecundity and population persistence in an endangered amphibian. Ecosphere 7(2):e01246.
Cayuela et al (2016) Demographic responses to weather fluctuations are context dependent in a long-lived amphibian. Global Change Biology (2016) 22, 2676–2687
Cayuela et al (2016) Contrasting patterns of environmental fluctuation contribute to divergent life histories among amphibian populations. Ecology, 97(4), 2016, pp. 980–991
Cayuela et al (2017) Life history tactics shape amphibians’ demographic responses to the North Atlantic Oscillation. Glob Change Biol. 23:4620–4638.
Gervasi V (2017). Estimating survival in the Apennine brown bear accounting for uncertainty in age classification. Popul Ecol (2017) 59:119–130.
Genovart M, Pradel R, Oro D (2012) Exploiting uncertain ecological fieldwork data with multi-event capture-recapture modelling: an example with bird sex assignment. Journal of Animal Ecology 81:970-977. 10.1111/j.1365-2656.2012.01991.x clip_image001.png
Hardouin LA, Nevoux M, Robert A, Gimenez O, Lacroix F, Hingrat Y (2012). Determinants and costs of natal dispersal in a lekking species. Oikos 121:804-812. 10.1111/j.1600-0706.2012.20313.x clip_image001.png
Pradel, R., L. Maurin-Bernier, et al. (2008). "Estimation of sex-specific survival with uncertainty in sex assessment." Canadian Journal of Statistics-Revue Canadienne De Statistique 36(1): 29-42.
Runge, J. P., J. E. Hines, et al. (2007). "Estimating species-specific survival and movement when species identification is uncertain." Ecology 88(2): 282-288.
Stopover duration:
Choquet, R., Y. Guédon, A. Besnard, M. Guillemain, and R. Pradel. 2013. Estimating stop over duration in the presence of trap-effects. Ecological Modelling 250:111–118.
Guérin etal (2017) Advances in methods for estimating stopover duration for migratory species using capture–recapture data. Ecological Applications, 27(5), 1594–1604
Choquet R, Guédon Y, Besnard A, Guillemain M, Pradel R (2013) Estimating Stop over Duration in presence of trap-effects. Ecological Modelling 250: 111-118.
Rivalan, P., R. Pradel, et al. (2006). "Estimating clutch frequency in the sea turtle Dermochelys coriacea using stopover duration." Marine Ecology-Progress Series 317: 285-295.
Verkuil, Y. I., J. J. Wijmenga, et al. (2010). "Spring migration of Ruffs Philomachus pugnax in Fryslan: estimates of staging duration using resighting data." Ardea 98(1): 21-33.
Trade-offs:
Souchay, G., G. Gauthier, and R. Pradel. 2014. To breed or not: A novel approach to estimate breeding propensity and potential trade-offs in an Arctic-nesting species. Ecology 95(10):2745–2756.
Robert A, Bolton M, Jiguet F, Bried J. 2015 The survival–reproduction association becomes stronger when conditions are good. Proc. R. Soc. B 282 : 20151529.
Sanz-Aguilar, A. et al. (2017) Sex- and age-dependent patterns of survival and breeding success in a long-lived endangered avian scavenger. Sci. Rep. 7, 40204; doi: 10.1038/srep40204 clip_image001.png
Rivalan, P., A.-C. Prévot-Julliard, et al. (2005). "Trade-off between current reproductive effort and delay to next reproduction in the leatherback sea turtle." Oecologia 145(4): 564-74.
Schaub, M. and J. von Hirschheydt (2009). "Effect of current reproduction on apparent survival, breeding dispersal, and future reproduction in barn swallows assessed by multistate capture-recapture models." Journal of Animal Ecology 78(3): 625-635.
Memory models:
Cole, D. J., B. J. T. Morgan, R. S. McCrea, R. Pradel, O. Gimenez, and R. Choquet. 2014. Does your species have memory? Analyzing capture-recapture data with memory models. Ecology and Evolution 4(11):2124–2133.
Rouan, L., R. Choquet, et al. (2009). "A General Framework for Modeling Memory in Capture-Recapture Data." Journal of Agricultural Biological and Environmental Statistics 14(3): 338-355.
Migration:
Genovart M, Sanz-Aguilar A, Fernandez-Chacon A, Igual JM, Pradel R, Forero MG, Oro D (2013) Contrasting effects of climatic variability on the demography of a trans-equatorial migratory seabird. Journal of Animal Ecology 82: 121-130.
Lok T, Overdijk O, Piersma T. (2015). The cost of migration: spoonbills suffer higher mortality during trans-Saharan spring migrations only. Biol. Lett. 11: 20140944
Lok T, Overdijk O, Piersma T. (2013). Migration Tendency Delays Distributional Response to Differential Survival Prospects along a Flyway. The american Naturalist 181(4): 520-531
Sanz-Aguilar A, Béchet A, Germain C, Johnson AR, Pradel R (2012) To leave or not to leave: survival tradeoffs between different migratory strategies in the Greater Flamingo. Journal of Animal Ecology. 10.1111/j.1365-2656.2012.01997.x clip_image001.png
Robust design:
Kendall et al 2013. Combinin g dead recovery, auxiliary observations and robust design data to estimate demographic parameters from marked individuals. Methods in Ecology and Evolution 2013, 4, 828–835
Cayuela et al (2015) Slow life history and rapid extreme flood: demographic mechanisms and their consequences on population viability in a threatened amphibian. Freshwater Biology (2015) 60, 2349–2361
Cayuela et al (2016) Demographic responses to weather fluctuations are context dependent in a long-lived amphibian. Global Change Biology (2016) 22, 2676–2687
Cayuela et al (2016) Contrasting patterns of environmental fluctuation contribute to divergent life histories among amphibian populations. Ecology, 97(4), 2016, pp. 980–991
Richard et al (2017) From gestation to weaning: Combining robust design and multi- event models unveils cost of lactation in a large herbivore. J Anim Ecol. 86:1497–1509
Kendall WL, White GC, Hines JE, Langtimm CA, Yoshizaki J (2012). Estimating parameters of hidden Markov models based on marked individuals: use of robust design data. Ecology 93:913-920.
Senescence:
Koons et al (2014) Methods for studying cause-specific senescence in the wild. Methods in Ecology and Evolution 2014, 5, 924–933
Berger V et al (2016) Age-specific survival in the socially monogamous alpine marmot (Marmota marmota): evidence of senescence. Journal of Mammalogy, 97(3):992–1000
Fay R, Barbraud C, Delord K, Weimerskirch H (2017) From early life to senescence: individual heterogeneity in a long-lived seabird. Ecological Monographs, 0(0), 2017, pp. 1–14
Choquet R, Viallefont A, Rouan L, Gaanoun K, Gaillard JM (2011). A semi-Markov model to assess reliably survival patterns from birth to death in free-ranging populations. Methods in Ecology and Evolution 2:383-389. 10.1111/j.2041-210X.2011.00088.x clip_image001.png
Marzolin G, Charmantier A, Gimenez O (2011). Frailty in state-space models: application to actuarial senescence in the Dipper. Ecology 92:562-567. 10.1890/10-0306.1 clip_image001.png
Peron G, Crochet PA, Choquet R, Pradel R, Lebreton JD, Gimenez O (2010). Capture-recapture models with heterogeneity to study survival senescence in the wild. Oikos 119:524-532. 10.1111/j.1600-1706.2009.17882.x clip_image001.png
Site occupancy:
MacKenzie et al (2012) Investigating the population dynamics of California spotted owls without marked individuals. J Ornithol (2012) 152 (Suppl 2):S597–S604
Cayuela et al 2013. Multi-event models reveal the absence of interaction between an invasive frog and a native endangered amphibian. Biol Invasions (2013) 15:2001–2012
Gimenez, O., L. Blanc, A. Besnard, R. Pradel, P. F. Doherty, E. Marboutin, and R. Choquet. 2014. Fitting occupancy models with E-SURGE: Hidden Markov modelling of presence-absence data. Methods in Ecology and Evolution 5(6):592–597.
Mosher BA (2017). Inferential biases linked to unobservable states in complex occupancy models. Ecography 40: 001–008.
Plant dormancy:
Fréville, H., R. Choquet, R. Pradel, and P.-O. Cheptou. 2013. Inferring seed bank from hidden Markov models: new insights into metapopulation dynamics in plants. Journal of Ecology 101(6):1572–1580.
Behavior, Sociality:
Culina, A., S. Lachish, R. Pradel, R. Choquet, and B. C. Sheldon. 2013. A multievent approach to estimating pair fidelity and heterogeneity in state transitions. Ecology and Evolution 3(13):4326–4338.
Reisinger RR, Oosthuizen WC, Péron G, Cory Toussaint D, Andrews RD, et al. (2014) Satellite Tagging and Biopsy Sampling of Killer Whales at Subantarctic Marion Island: Effectiveness, Immediate Reactions and Long-Term Responses. PLoS ONE 9(11): e111835
Culina et al (2015) Evidence of a link between survival and pair fidelity across multiple tit populations. Journal of Avian Biology 46: 507–515
Dupont, P., R. Pradel, S. Lardy, D. Allainé, and A. Cohas. 2015. Litter sex composition influences dominance status of Alpine marmots (Marmota marmota). Oecologia 179(3):753–763.
Sanz-Aguilar, A., R. Jovani, C. J. Melián, R. Pradel, and J. L. Tella. 2015. Multi-event capture-recapture analysis reveals individual foraging specialization in a generalist species. Ecology 96(6):1650–1660.
Bonnet X et al. (2016). A prison effect in a wild population: a scarcity of females induces homosexual behaviors in males. Behavioral Ecology, Volume 27, Issue 4, 1 January 2016, Pages 1206–1215.
Indirect information:
Culina, A., S. Lachish, R. Pradel, R. Choquet, and B. C. Sheldon. 2013. A multievent approach to estimating pair fidelity and heterogeneity in state transitions. Ecology and Evolution 3(13):4326–4338.
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