A5064752816- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
- Plant and animal studies
- Forest Ecology and Biodiversity Studies
- Biomedical Text Mining and Ontologies
- Mycorrhizal Fungi and Plant Interactions
- Wildlife Ecology and Conservation
- Soil Carbon and Nitrogen Dynamics
- Botany and Plant Ecology Studies
- Bayesian Methods and Mixture Models
- Isotope Analysis in Ecology
- Plant Water Relations and Carbon Dynamics
- Markov Chains and Monte Carlo Methods
- Genomics and Phylogenetic Studies
- Fire effects on ecosystems
- Land Use and Ecosystem Services
- Stochastic processes and statistical mechanics
Université Savoie Mont Blanc
2019-2024
Université Grenoble Alpes
2019-2024
Centre National de la Recherche Scientifique
2016-2024
Laboratoire d'Écologie Alpine
2019-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2023
Institut des Sciences de l'Evolution de Montpellier
2016
Université de Montpellier
2016
École Pratique des Hautes Études
2016
Institut de Recherche pour le Développement
2016
Abstract Aim Despite recent calls for integrating interaction networks into the study of large‐scale biodiversity patterns, we still lack a basic understanding functional characteristics large and how they are structured across environments. Here, building on advances in network science around Eltonian niche concept, aim to characterize trophic groups food web, understand these vary space. Location Europe Anatolia. Taxon Tetrapods (1,136 species). Methods We combined an expert‐based metaweb...
Abstract Much effort has been devoted to better understanding the effects of environment and biodiversity on ecosystem functioning. However, few studies have moved beyond measuring as species richness a single group and/or focusing function. While there is growing recognition that along environmental gradients, compositional turnover multiple trophic groups influences not only productivity but functions, we do know yet which components multi‐trophic β‐diversity influence functions. Here,...
Abstract Aim Although soil biodiversity is extremely rich and spatially variable, both in terms of species trophic groups, we still know little about its main drivers. Here, contrast four long‐standing hypotheses to explain the spatial variation multi‐trophic diversity: energy, physiological tolerance, habitat heterogeneity resource heterogeneity. Location French Alps. Methods We built on a large‐scale observatory across Alps (Orchamp) made seventeen elevational gradients (~90 plots) ranging...
Recent climate and land use change, pollution have led to concerning alterations in biodiversity ecosystem functions, jeopardizing nature's contributions people. Mountainous regions are not immune these threats, experiencing the impacts of global warming, increased recreational activities, changes agricultural practices. Leveraging natural elevational gradients mountain environments, ORCHAMP program was established 2016 as a comprehensive initiative monitor, understand, predict repercussions...
While soil ecosystems undergo important modifications due to global change, the effect of properties on plant distributions is still poorly understood. Plant growth not only controlled by physico‐chemistry but also microbial activities through decomposition organic matter and recycling nutrients essential for plants. A growing body evidence suggests that functional traits modulate species’ response environmental gradients. However, no study has yet contrasted importance physico‐chemistry,...
Abstract Aim Understanding how combinations of ecological traits at the community‐level vary with environmental conditions is crucial to anticipate and respond biodiversity crisis. While this topic popular, most attempts analyse predict multiple in space time ignore inherent correlations between these traits. In doing so, predicted unobserved environments are likely be flawed (i.e. unrealistic trait combinations). Here, we propose a framework that addresses methodological question functional...
Abstract Aim Plant–soil interactions can be major driving forces of community responses to environmental changes in terrestrial ecosystems. These leave signals aboveground plant functional traits and belowground microbial activities these manifest observed covariations. However, we know little about how plant–soil linkages vary response conditions at biogeographic scales for which experiments are impossible. Here, investigate patterns direct indirect between traits, soil mountain grasslands...
Arthropods play a vital role in ecosystems; yet, their distributions remain poorly understood, particularly mountainous regions. This study delves into the modelling of distribution 31 foliar arthropod genera French Alps, using comprehensive approach encompassing multi-trophic sampling, community DNA metabarcoding and random forest models. The results underscore significant importance vegetation structure, such as herbaceous density, density heterogeneity, along with climate, shaping most...
In recent years, simulation methods such as approximate Bayesian computation have extensively been used to infer parameters of population genetic models where the likelihood is intractable. We describe an alternative approach, summary likelihood, that provides a likelihood-based analysis information retained in statistics whose distribution simulated. provide automated implementation standard R package, Infusion, and we test method, particular for scenario inference population-size change...
Macroecology aims to explain the distribution of and process underlying biodiversity patterns in space time, through analysis large-scale multi-species data (Brown & Maurer, 1989). Deeply rooted biogeography, community ecology evolutionary biology, macroecology is an intrinsically inclusive branch ecology, which relies on integration various kinds methodological approaches. As a science, it has matured from its descriptive incipient form 1989), now strives explicitly understand mechanisms...
Abstract Although soil ecology has benefited from recent advances in describing the functional and trophic traits of organisms, data reuse for large-scale food-web reconstructions still faces challenges. These obstacles include: (1) most on interactions feeding behaviour organisms being scattered across disparate repositories, without well-established standard structuring datasets; (2) existence various competing terms, rather than consensus, to delineate feeding-related concepts such as...
Our knowledge of the factors influencing distribution soil organisms is limited to specific taxonomic groups. Consequently, our understanding drivers shaping entire food web constrained. To address this gap, we conducted an extensive biodiversity monitoring program in French Alps, using environmental DNA obtain multi-taxon data from 418 samples. The spatial structure resulting webs varied significantly between and within habitats. From forests grasslands, observed a shift abundance trophic...
Soil trophic networks are key to biogeochemical cycles, in particular decomposition. However, few studies have yet quantified how microbial decomposition activity along environmental gradients is jointly driven by bacteria, fungi, and their respective consumers. Here, we these direct indirect effects on contrasted them between forests open habitats using multiple elevational the French Alps. While control was comparable two habitats, pathways strengths of biotic predictors strongly differed....
<p>Experiments and observations have shown that plants soil biotic abiotic properties are linked by feedback loops at local scale, in particular because plant functional traits determine the decomposability of organic matter, which turn influences availability nutrients essential for growth. However, influence plant-soil linkages on distributions ecosystem functions is understudied large biogeographic scales.</p><p>Here, I present results studies...