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La remise en cause de ces différents présupposés (à part le point (2)) est le fil rouge du travail effectué durant cette thèse et sera abordé au travers de ses trois chapitres

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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