Jean‐Dominique Lebreton

ORCID: 0000-0002-1962-4871
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About
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Research Areas
  • Wildlife Ecology and Conservation
  • Avian ecology and behavior
  • Animal Ecology and Behavior Studies
  • Ecology and Vegetation Dynamics Studies
  • Fish Ecology and Management Studies
  • Census and Population Estimation
  • Species Distribution and Climate Change
  • Genetic and phenotypic traits in livestock
  • Genetic diversity and population structure
  • Plant and animal studies
  • Animal Behavior and Reproduction
  • Marine and fisheries research
  • Marine animal studies overview
  • Survey Sampling and Estimation Techniques
  • Statistical Methods and Bayesian Inference
  • Evolution and Genetic Dynamics
  • Zoonotic diseases and public health
  • African Botany and Ecology Studies
  • Bat Biology and Ecology Studies
  • Rangeland and Wildlife Management
  • Ecosystem dynamics and resilience
  • French Urban and Social Studies
  • Botany and Plant Ecology Studies
  • Ecology and biodiversity studies
  • Mathematical and Theoretical Epidemiology and Ecology Models

Centre National de la Recherche Scientifique
2012-2024

Centre d'Écologie Fonctionnelle et Évolutive
2013-2024

Université de Montpellier
2017-2024

École Pratique des Hautes Études
2017-2024

Institut de Recherche pour le Développement
2018-2024

University of Lincoln
2023

Université Paris Sciences et Lettres
2023

Université Paul-Valéry Montpellier
2017-2019

Académie de Paris
2019

La Rochelle Université
2016

The understanding of the dynamics animal populations and related ecological evolutionary issues frequently depends on a direct analysis life history parameters. For instance, examination trade—offs between reproduction survival usually rely individually marked animals, for which exact time death is most often unknown, because individuals cannot be followed closely through time. Thus, quantitative studies experiments must based capture—recapture (or resighting) models consider, besides...

10.2307/2937171 article EN Ecological Monographs 1992-03-01

In any statistical analysis, assessing the goodness of fit a model to data is crucial avoid drawing incorrect conclusions.U-CARE computer application that deals with mandatory first steps analyses capture-recapture data: preparation set and assessment general (Cormack-Jolly-Seber variants for single-state data; Jolly-Move multi-state data).U-CARE implements current state art in goodnessof-fit testing by incorporating components aimed at detecting most likely departures from assumptions...

10.1111/j.1600-0587.2009.05968.x article EN Ecography 2009-09-09

The presence of transient animals, common enough in natural populations, invalidates the estimation survival by traditional capture-recapture (CR) models designed for study residents only. Also, transit is interesting itself. We thus develop here a class CR to describe transients. In order assess merits this approach we examine bias estimators transients relation power different tests detecting also compare relative efficiency an ad hoc dealing with that leaves out first observation each...

10.2307/2533097 article EN Biometrics 1997-03-01

Using field data on fecundity, age at first reproduction and adult life expectancy, we reconsider the so-called r-K gradient by analyzing relationships between these three demographic parameters in 80 mammal species 114 bird species. After allometric effect of body weight is removed, variables remain correlated. The existence tactics which are independent demonstrated multivariate analyses variables. These confirm importance ecological phylogenetic constraints. main structure a time-scale...

10.2307/3566088 article EN Oikos 1989-09-01

Summary Schedules of survival, growth and reproduction are key life‐history traits. Data on how these traits vary among species populations fundamental to our understanding the ecological conditions that have shaped plant evolution. Because demographic schedules determine population or decline, such data help us understand different biomes shape ecology, communities respond global change develop successful management tools for endangered invasive species. Matrix models summarize life cycle...

10.1111/1365-2745.12334 article EN Journal of Ecology 2014-11-09

Biodiversity loss is a major challenge. Over the past century, average rate of vertebrate extinction has been about 100-fold higher than estimated background and population declines continue to increase globally. Birth death rates determine pace or decline, thus driving expansion species. Design species conservation policies hence depends on demographic data (e.g., for risk assessments estimation harvesting quotas). However, an overview accessible data, even better known taxa, lacking. Here,...

10.1073/pnas.1816367116 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2019-04-19

Ian Newton: Population limitation in birds of prey: a comparative approach Rowley & Eleanor Russell: Demography Passerines the temperate Southern Hemisphere Jacques Blondel: Birds biological isolates J. Clobert J-D. Lebreton: Estimation demographic parameters bird populations Lebreton Clobert: Bird population dynamics, management, and conservation R.H. McCleery C.M. Perrins: The effects predation on numbers Great Tits Parus major James N.M. Smith, Peter Arcese Wesley Hochachka: Social...

10.2307/3809299 article EN Journal of Wildlife Management 1993-07-01

Abstract: Conservation biology must be able to provide guidelines even when available data are incomplete, because on rare and endangered species usually limited. For instance, the effect of additional—human‐induced—sources mortality vertebrate populations, such as bycatch seabirds by longline fisheries, typically incomplete. The importance an additional source can evaluated comparing it with maximum annual growth rate concern, various authors have attempted determine from incomplete data....

10.1111/j.1523-1739.2005.00310.x article EN Conservation Biology 2005-06-01

Within the Mediterranean level of Alberes chain, 186 samples were taken in different formations from grassland to forest, with presence-absence sampling bird and plant species, estimation relative cover 7 vegetation layers, plus rock itself. After multidimensional ordination (Correspondence Analysis) birds x stations matrix, multiple correlation first factor F1 C.A. 8 values, a model results which, (1) proves that F. is expression progressive evolution structure, (2) shows there logarithmic...

10.2307/3544069 article EN Oikos 1981-07-01

Optimal goodness–of–fit procedures for multistate models are new. Drawing a parallel with the corresponding single–state procedures, we present their singularities and show how overall test can be decomposed into interpretable components. All theoretical developments illustrated an application to now classical study of movements Canada geese between wintering sites. Through this application, exemplify components give insight data, leading eventually choice appropriate general model but also...

10.32800/abc.2005.28.0189 article EN cc-by Animal Biodiversity and Conservation 2005-12-01

Abstract Assessing the quality of fit a statistical model to data is necessary step for conducting safe inference. We introduce R2ucare , an r package perform goodness‐of‐fit tests open single‐ and multi‐state capture–recapture models. also has various functions manipulate data. remind basics provide guidelines navigate towards testing demonstrate functionality through its application real

10.1111/2041-210x.13014 article EN Methods in Ecology and Evolution 2018-04-18

M-SURGE (along with its companion program U-CARE) has been written specifically to handle multistate capture-recapture models and alleviate their inherent difficulties (model specification, quality of convergence, flexibility parameterization, assessment fit). In domain, covers a broader range than general like MARK (White & Burnham, 1999), while being more user-friendly MS-SURVIV (Hines, 1994). Among the main features is wide class variety parameterizations: (1) conditional probability...

10.32800/abc.2004.27.0207 article EN cc-by Animal Biodiversity and Conservation 2004-06-01

We provide a statistical framework to estimate age-specific breeding probabilities in vertebrate populations, from recaptures or resightings of individuals marked as young. consider data collected at one possibly several points over time, when individual recapture histories are known, leading models which we call longitudinal models. An example black-headed gulls, Larus ridibundus, is considered.

10.2307/2533381 article EN Biometrics 1994-06-01

Experimental disturbance and fertilization in two Mediterranean old fields, three nine years old, respectively, were used to identify functional groups for response disturbance. Five morphological traits (canopy structure, height, lateral spread, habit plasticity) five regeneration (life cycle, seed mass, fecundity, dispersal mode germination seasonality) species classification. Correlation patterns of composition attributes with treatments analysed order characterize The classification...

10.2307/3546427 article EN Oikos 1999-03-01

In three Mediterranean old fields, one, seven, and fifteen years after the last ploughing, small scale disturbances (0.25 m 2 ) by contact herbicide associated or not with litter removal scratching of top 3 cm soil were generated in October 1988, December March 1989. Subsequent changes cover, species richness composition observed over two following vegetation cycles (until May 1990), compared to dynamics undisturbed samples. The identity colonizers for each disturbance date...

10.2307/3545786 article EN Oikos 1994-09-01

Abstract: Assessing conservation strategies requires reliable estimates of abundance. Because detecting all individuals is most often impossible in free‐ranging populations, estimation procedures have to account for a <1 detection probability. Capture–recapture methods allow biologists cope with this issue detectability. Nevertheless, capture–recapture models open populations are built on the assumption that share same probability, although heterogeneity among has led underestimating...

10.1111/j.1523-1739.2009.01431.x article EN Conservation Biology 2010-01-22
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