BIOM : Describe, understand and predict the spatio-temporal distribution and dynamics of biodiversity and ecosystems (BIOdiversity Monitoring)
TEAM LEADER : Tamara MÜNKEMÜLLER
Research in BIOM is structured along the major challenges in this research area : First, we need better descriptions of patterns of biodiversity, ecosystem functioning and nature’s contributions to people across space and time and for this require integrative datasets and methodological approaches (Axis 1). Second, relationships between multi-trophic assemblages, ecosystem functioning and nature’s contributions to people need to be elucidated, including the dependencies of these relationships on temporal and spatial scales (Axis 2). Third, biodiversity itself is a complex component with important assembly rules as well as biotic interactions and feedback, that can no longer be ignored in future scenarios (Axis 3). Fourth, building on improved pattern descriptions and understanding, we develop novel predictive models and apply them to provide improved future scenarios that consider scale- dependencies and can support social adaptation (Axis 4). Thus, the BIOM team integrates predictive (functional) biogeography, biogeochemistry, network ecology and ecosystem service science to improve understanding as well as spatial and temporal predictions and scenarios of the impact of environmental change on multi-trophic biodiversity, ecosystem functioning and the supply capacity of ecosystem services.
Researchers / Professors (link) :
– Stéphane BEC
– Marie-Nöelle BINET
– Philippe CHOLER
– Christophe CORONA
– Camille DESJONQUERES
– Arnaud FOULQUIER
– Christiane GALLET
– Laure GALLIEN
– Roberto GEREMIA
– Catherine HÄNNI
– Sandra LAVOREL
– Anne LOISON
– Bello MOUHAMADOU
– Tamara MÜNKEMÜLLER
– François PELLISSIER
– Jérémy PUISSANT
– Wilfried THUILLER
Technical staff (link) :
– Cindy ARNOLDI
– Jean-Noël AVRILLIER
– Marie-Pascale COLACE
– Ludovic GIELLY
– Karl GRIGULIS
– Maya GUEGUEN
– Vincent MIELE
– Annie MILLERY-VIGUES
– Julien RENAUD
– Amélie SAILLARD
Associated projects : (link)
Local : MIAI@GrenobleAlpes, Labex OSUG MONTANE project
National : ANR GAMBAS, ANR Globnets, ANR OriginAlps, ANR MovIt, ANR TransAlp, ANR PORTAL
International : BiodivERsA FutureWeb, Biodiversa FeedBacks, Biodiversa InvasiBES
Former : ERC TEEMBIO, CDP Trajectories, Biodiversa BearConnect, ...
Stakeholder involvement : Parcs nationaux alpins (Ecrins, Mercantour et Vanoise), Parcs régionaux (Bauges, Chartreuse, Vercors, Queyras), Conservatoires botaniques nationaux (alpin, méditerranéen, pyrénéen), Office National pour la Biodiversité, METRO Grenoble, Département de l’Isère, ...
Associated research infrastructures : Jardin du Lautaret , Zone Atelier ALpes, eLTER, Sentinelles des Alpes, OSUG, ...
Focal organisms : All types of organisms in populations (e.g. chamois, deer), communities (e.g. plant communities), specific networks (e.g. plant-plant, plant-pollinator, plant-herbivore, herbivore-herbivore, herbivore-predator…) and food webs (e.g. soil food webs, European tetrapods)
Scales : From individual to biome, from local over landscapes to global, from short-term to long-term observatories (>10 years), integration of different scales
Data sampling approaches : Experiments (greenhouse and in situ), field observations, Earth Observations, large-scale and long-term observatories
Data types : plant community relevees, behavioral observations, metabarcoding, soil samples, metagenomics, enzymatic activity analyses, physico-chemical soil analyses, infra-second animal behavior inferred from new biologgers, multispectral imagery of vegetation, remote sensing data
Statistical & modelling approaches : Multilevel and hierarchical models, graphical models, deep learning approaches, ecosystem service models (e.g. ESNET toolbox), environment dependent, predictive Lotka-Volterra models, process-based dynamic vegetation models (e.g. FATE-HD) and integration of different model types
We analyse and dissect the relationships between environmental drivers, multi-trophic and multi-facetted diversity, ecosystem functions and nature’s contributions to people at various spatial, temporal and organismic scales.
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We decipher and understand the processes and dynamic feedbacks between multi-trophic assemblages, ecosystem functioning and nature’s contributions to people in a changing world.
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Most biodiversity and ecosystem models have been heavily criticized because they ignore basic ecological mechanisms, such as biotic interactions. We focus on the importance of biotic assembly rules for communities and the nature and dynamics of interactions in interaction networks.
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We develop predictions and scenarios on how species interactions, biodiversity, ecosystem functioning and nature’s contributions to people will respond to ongoing and future pressures such as biotic exchange, climate and land use change or pollution, and their combinations.
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