Late-successional forests provide a unique opportunity to explore adaptive management approaches that mitigate atmospheric carbon dioxide levels through carbon storage while also enhancing ecological resilience to novel climate and disturbances. Typical benchmarks for adaptive forest management include species diversity and structural complexity, which are widely considered to increase ecosystem stability and productivity. However, the role of functional trait diversity (e.g., variation in leaf and stem traits) in driving forest productivity and ecosystem resilience remains underexplored. We leveraged existing continuous forest inventory (CFI) data and collected local functional trait observations from CFI plots within late-successional forests in western Massachusetts to explore links between aboveground carbon storage and different types of forest diversity. We then fit a linear model within a Bayesian hierarchical framework applying functional diversity, species diversity, and structural complexity as predictors of live aboveground biomass (AGB) within CFI plots. Our framework integrates local functional trait information with database species mean trait values using a multivariate structure to account for inherent trait syndromes and estimate functional diversity in each plot. Across 626 plot-timepoints, we found that integrating individual functional trait information from co-located plots yielded the best predictions of live AGB. Contrary to expectations, functional diversity had a negative relationship with live AGB. Whereas plots with low functional diversity and higher AGB were dominated by mid-to-late successional hardwood species, plots with high functional diversity had more shade-intolerant species and lower AGB mediated by recent small-scale disturbances. Our results reveal an ontogenetic shift in the effects of functional diversity on AGB productivity over the course of succession in northeastern temperate forests. Corroborating with classical models of biomass development in late-successional northern hardwood forests, our findings support the need for adaptive forest carbon management to facilitate a mosaic of different forest successional stages across the landscape to maximize live aboveground carbon benefits in northeastern mixed hardwood forests.

Comprendre comment la biodiversité des prairies répond aux changements d’utilisation des terres constitue un enjeu majeur pour la conservation de la biodiversité et le maintien des services écosystémiques dans les paysages agricoles. Dans ce travail de thèse, nous avons cherché (i) à analyser la réponse simultanée d’un ensemble de taxons appartenant à différents niveaux trophiques (plantes, herbivores, pollinisateurs, prédateurs) aux changements d’utilisation des terres agissant à différentes échelles spatiales et temporelles ; (ii) à approcher les mécanismes impliqués dans cette réponse et notamment le rôle des interactions trophiques. Notre approche est basée sur l’utilisation de multiples traits fonctionnels liés à l’acquisition des ressources, la taille et la mobilité des organismes. Nous avons testé la réponse de ces traits à l’histoire des paysages, leur configuration et leur composition. Nous montrons qu’il existe une réponse générale de la diversité fonctionnelle multitrophique aux changements d’utilisation des terres. Nous mettons en évidence l’importance des effets historiques du changement d’utilisation des terres à l’échelle des paysages agricoles menaçant le maintien de communautés fonctionnellement diversifiées dans ces paysages. En considérant un set de traits multiples, notre travail a permis d’approcher certains mécanismes par lesquels les changements d’utilisation des terres présents et passés impactent différentes facettes de la biodiversité. Enfin, l’utilisation des traits fonctionnels a permis d’appréhender l’importance des interactions trophiques et leur implication dans la structuration des communautés animales dans les milieux agricoles. / Understanding how grassland biodiversity responds to land use intensification is crucial for both biodiversity conservation and the management of key ecosystem services in agricultural landscapes. My PhD aims at (i) identifying and generalising the effects of land use intensification operating at different spatial and temporal scales across multiple taxonomic groups and trophic levels (plants, herbivores, pollinators, predators and top-predators) ; (ii) investigating the underlying mechanisms of biodiversity response, and particularly the role of trophic interactions. We used multiple functional traits related to resource acquisition, the size of the organisms and their mobility. We tested how multitrophic functional trait diversity responded to landscape history, composition and heterogeneity. Considering multiple taxonomic groups simultaneously, our study brings out a clear response of overall biodiversity to land use intensification. We found that legacy effects of land use intensification operating at the landscape scale are major drivers of present-day multitrophic functional trait diversity in agricultural landscapes. By considering a core set of organismal traits reflecting similar functions across trophic levels, our approach reveals multiple dimensions by which land use intensification filters out biodiversity over time and allows us to generalise its effect across multiple trophic levels and trait-spectrum. Finally, trait-based approach allowed us to assess the importance of trophic interactions and their contribution in shaping animal communities in agricultural landscapes.