Conditional life-history strategies and short-term adaptive mechanisms: an integrated approach using mark-recapture data with application to wild Atlantic salmon (Salmo salar).

• Main Author: Buoro, Mathieu
• Other Authors: Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP), Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA), Université Montpellier 2 (Sciences et Techniques), Ecole doctorale Systèmes intégrés en biologie, agronomie, géosciences, hydrosciences, environnement, Etienne Prévost, Olivier Gimenez, Jean-Dominique Lebreton
• Format: Doctoral or Postdoctoral Thesis
• Language: French
• Published: HAL CCSD 2011
• Subjects: capture-marquage-recapture; life history strategy; phenotypic plasticity; evolutionary trade-off; hierarchical modeling; Atlantic salmon; stratégie d'histoire de vie; plasticité phénotypique; compromis évolutif; modélisation hiérarchique; capture-recapture; SALMONIDE; ECOLOGIE; BIOLOGIE DES POPULATIONS; [SDV]Life Sciences [q-bio]; Salmo salar
• Online Access: https://hal.inrae.fr/tel-02805618; https://hal.inrae.fr/tel-02805618/document; https://hal.inrae.fr/tel-02805618/file/These.pdf

Diplôme : Dr. d'Université Understanding the origin of life history variations of organisms requires studying life history strategies and evolutionary processes that drive them. This thesis aims at studying life history strategies under natural conditions and how they are conditioned by individual characteristics. Life history strategies are seen as a combination of reaction norms and evolutionary trade-offs. The study of evolutionary processes in the wild faces to methodological issues. Indeed, the exhaustive monitoring of individuals over time is often impossible in the wild. Capture-mark-recapture methods allow a partial observation of life histories and life history traits. This work was based on the idea that our observations are only the visible part of underlying processes that need to be accounted for to limit the risk of flawed statistical inferences. I resort to hidden structure modeling to 1) separate the observation process from the dynamic process of interest, 2) model the full life histories of individuals, 3) integrate within a single and coherent framework life history decisions and evolutionary trade-offs and 4) explicitly represent the underlying mechanisms that generate our observations. Within this framework, one can confront theories and concepts in evolutionary biology with observational data through appropriate statistical tools. Finally, I illustrate this work by studying the conditioning of life-history strategies in a natural population of Atlantic salmon on the Scorff river (Morbihan) using CMR data. My results highlight status- dependent life history decisions and evolutionary trade-offs that could not be identified without our proposed modeling framework. Pour comprendre l’origine des variations d’histoire de vie des organismes, il faut étudier et mettre en évidence les stratégies d’histoire de vie et les processus évolutifs qui les gouvernent. Ce travail de thèse a pour objectif d’étudier les stratégies d’histoire de vie et leur conditionnement par les caractéristiques ...