Comparing survival among species with imperfect detection using multilevel analysis of mark-recapture data: a case study on bats
| Autor: | Dietrich Dolch, Hartmut Geiger, Gerald Kerth, Ana G. Popa-Lisseanu, Elena Papadatou, Wigbert Schorcht, Carlos F. Ibáñez, Olivier Gimenez, Jana Teubner, Michael Schaub, Roger Pradel |
|---|---|
| Přispěvatelé: | Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Formev, Université de Genève (UNIGE), Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Ernst-Moritz-Arndt-Universität Greifswald, Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Donana Biological Station, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
0106 biological sciences
education.field_of_study Ecology media_common.quotation_subject Population Multilevel model Bayesian probability Foraging Longevity Biology Random effects model 010603 evolutionary biology 01 natural sciences Mark and recapture 010104 statistics & probability Taxon [SDE]Environmental Sciences 0101 mathematics education Ecology Evolution Behavior and Systematics ComputingMilieux_MISCELLANEOUS media_common |
| Zdroj: | Ecography Ecography, Wiley, 2012, 35 (2), pp.153-161. ⟨10.1111/j.1600-0587.2011.07084.x⟩ Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 0906-7590 1600-0587 |
| Popis: | For comparative demography studies, 2 prerequisites are usually needed: 1) using typical parameter values for species, 2) correctly accounting for the uncertainty in the species specific estimates. However, although within-species variability may be essential, it is typically not considered in analytical procedures, resulting in parameter estimates that may not be representative of the species. Further, data are analysed in 2 steps, first separately for each species, then estimates are com- pared among species. Accounting for the uncertainty in the species specific estimates is then difficult. Here we propose the application of multilevel Bayesian models on mark–recapture (MR) data for comparative studies on survival probabilities that solves these problems. Our models account for within-species variability in space and time in the form of random effects. Models reflecting different biological predictions related to the species’ ecology and life-history traits may further be contrasted. To illustrate our approach, we used long-term data from 5 temperate tree-roosting bat species and compared their survival probabilities. Results suggest that species foraging in open space, high reproductive output and short longev- ity records have lower survival than species foraging at short distances, with low reproductive output and high longevity records. Multilevel models provided relatively precise estimates, away from the edges of the parameter space, even for species with low encounter rates and short study duration. This is particularly valuable for less studied taxa such as bats for which available data are often more sparse. Our approach can be easily extended to include additional groups or levels of interest and effects at the individual level (e.g. sex or age). Different hypotheses regarding differences or similarities in parameters among species can be tested through the application of different models. Overall, it offers a flexible tool to ecologists, and population and evolutionary biologists for comparative studies, explicitly accounting for multilevel struc- tures often encountered in MR data |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|