Partie 1 : Diversité fonctionnelle des communautés végétales alpines et effets d’échelles
Le point (1) rejoint la problématique d’échelle spatiale, c’est à dire à la surface
spa-tiale sur laquelle sont définies la communauté et la surface géographique de la “région”
qui sert à définir le pool d’espèces. Et le point (3) à la problématique d’échelle
organi-sationnelle, c’est-à-dire le niveau taxonomique auquel est identifié un individu (individu,
espèce, genre...) et le niveau phylogénétique regroupant l’ensemble des individus étudiés.
Face à ces échelles, on peut se poser la question : “Les patrons de diversité sont-ils
similaires à toutes les échelles spatiales et organisationnelles ? Quelles sont les
implica-tions en termes de règles d’assemblage ?”. C’est la question que j’aborde dans la partie 1,
en interaction avec l’idée de varier les choix méthodologiques (4) en terme de modèle nul
et de pool d’espèce.
Partie 2 : Décompositionα, β, γdes nombres de Hill - extensions méthodologiques
Ce chapitre s’intéresse exclusivement au point (4), c’est-à-dire aux perspectives
qu’ap-porte la remise en cause des présupposés méthodologiques contenus dans le choix des
indices de diversité. Comme mentionné précédemment, la littérature scientifique sur les
indices de diversité est très (trop) riche, mais récemment de nombreuses unifications ont
été proposées, notamment celles qui concernent la généralisation des nombres de Hill. À
travers cela, la première partie se consacre à la remise en cause de la façon de prendre en
compte le patron d’abondance des communautés et la façon d’évaluer la similarité
éco-logique entre espèces à partir des données de traits fonctionnels et de la phylogénie. On
peut se poser la question : “Les patrons de diversité sont-ils similaires selon le choix de
l’indice de diversité ? Quelles sont les implications en termes de règles d’assemblage ?”
Partie 3 : Aspects méthodologiques de l’analyse des données de métabarcoding
Le méta-barcoding est en train de s’affirmer comme une nouvelle approche pour
étu-dier les communautés [POISOT et collab., 2013; TABERLET et collab., 2012]. Elle amène
des perspectives importantes pour l’étude de communautés qu’il est difficile
d’échan-tillonner par des techniques classiques : bactéries, champignons ou archées. C’est en
re-vanche un type de données assez différent des données de communautés traditionnelles
et qui présente de nombreux défis. Les données de méta-barcoding se caractérisent
no-tamment par une assignation taxonomique partielle, ce qui, rejoignant le point (3) amène
une perspective différente sur ce qu’est “une espèce” dans un échantillon de barcoding.
Ce dernier chapitre comprend principalement des travaux préliminaires qui explorent les
défis méthodologiques posées par le méta-barcoding dans le contexte de son utilisation
pour étudier les patrons de diversité “taxonomique” et phylogénétique.
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Dans le document
De la communauté à la méta-communauté, décrypter les patrons de diversité
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