Écologie fonctionnelle du phytoplancton des lacs tempérés et boréaux : le rôle des facteurs environnementaux sur les communautés nanophytoplanctoniques et la prévalence des stratégies d’acquisition de ressources alternatives
Notice bibliographique
Résumé
The diversity of lake nanoplankton communities is controlled by a variety of biotic and abiotic factors, including interspecific resource competition. Community diversity is maintained when taxa can avoid competitive exclusion, which can be accomplished by alleviating interspecific competition within the community. In theory, taxa can reduce competition by occupying different spatial niches, i.e., by segregating over the vertical resource gradients usually present in stratified systems. Some taxa also use alternative resource acquisition strategies, in particular phago-mixotrophy, to complement their intake of carbon and nutrients. However, those two mechanisms are not well studied in lakes. Lake physical structure controls nanophytoplankton spatial repartition, and community diversity is driven by a variety of biotic and abiotic factors in addition to resource competition. This limits our ability to investigate whether the vertical distribution of the community truly affects diversity in natural systems without dedicated whole-lake experiments. Our understanding of nanophytoplankton phago-mixotrophy is also incomplete. At a basic theoretical level, it is still unclear how a generalist nutrition strategy like mixotrophy can be viable against specialist phago-heterotrophs and photo-autotrophs. We also know little of the biotic and abiotic drivers that shape nanoplankton assemblages of resource acquisition strategies in freshwater systems. The goal of this thesis work is thus to further our understanding of the effects of those processes for community assembly. In the first chapter of this thesis, we investigated how nanophytoplankton spatial overlap shapes taxonomic and functional community diversity in conjunction with the stratification structure of the water column and top-down interactions (i.e., zooplankton grazing). The degree of spatial overlap within the nanophytoplankton community of a stratified lake was altered by disrupting the thermal structure of the lake. Structural equation models did not reveal an effect of increased levels of spatial overlap h on taxonomic and functional diversity within the community. Overall, the effect interspecific competition induced by increased spatial aggregation on community diversity was marginal compared to the effect of the zooplankton community composition and to water column stratification.In a second study, we tested the viability of nanoplankton phago-mixotrophy as a resource acquisition strategy from a pure resource competition standpoint. We developed a mathematical model of spatial resource competition between three nanoplankton strategies of resource acquisition (pure phagotrophy, mixotrophy and pure phototrophy) and investigated the trophic assemblages predicted by the model for a variability of conditions of light and nutrient availability. Our results show that a generalist mixotrophic trophic strategy is viable against specialist trophic strategies and that a mixotrophs can dominate the community if it displays the adequate mixotrophic functional balance. The vertical position of the competitors was also spatially contrasted, and the mixotroph can grow over a larger portion of the water column relative to specialists. Functional variability within the mixotrophic trait could explain why alternative trophic strategies are ubiquitous in aquatic environments.In the final chapter of this dissertation, we will present an analyse of nanophytoplankton community data from two large scale lake surveys, the EPA National Lake Assessment in the continental US and the NSERC Canadian Lake Pulse Network project in Canada. After assessing the potential for mixotrophy of the various nanophytoplankton genera identified in the two surveys, we assessed the prevalence of mixotrophy in hundreds of lakes using microscopic taxonomic assessment. Mixotrophs were found to ubiquitous across North American temperate and boreal lakes, although it was not uniformly distributed across the sampled ecoregions. Nutrient availability was identified as the main driver of nanophytoplankton trophic assemblages in surface waters, with higher prevalence of mixotrophy in more oligotrophic lakes. Lake trophic state also the controlled the composition and diversity of the mixotrophic portion of the composition. The effect of light availability on resource acquisition strategy assemblages appears to be marginal compared to the effect of nutrient availability. The vertical distribution of taxa and mixotrophy are understudied feature of nanoplankton communities in lakes, those results are thus important contributions to understand the mechanisms controlling the assembly of those communities in lakes. This work made use of a variety of numerical methods, from mechanistic mathematical modelling to in-depth multivariate analyses of large ecological datasets, highlighting the importance of numerical tools for ecological studies.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».