Non-permanents

 

PhD students


BEKTAS, Billur RG

 
Encadrée par Tamara MÜNKEMÜLLER et Wilfried THUILLER


Transient dynamics of Alpine grasslands : linking biodiversity and ecosystem functions in a warming world

I am an ecologist with a strong interest in understanding the dynamics of biodiversity change and their implications on ecosystem functioning. During my PhD, I will focus on identifying magnitude and timing of responses of alpine grasslands to global warming through two main approaches : Alpages Volants transplant experiment at Col du Lautaret in French Alps and landscape modeling with FATE-HD dynamic vegetation model. In doing so, I will especially take into account the role of plant-soil feedbacks in grassland dynamics.

BYSTROVA, Daria

 
Encadrée par Wilfried THUILLER et Julyan ARBEL (INRIA)


I am a first-year PhD student at the Laboratoire d’Ecologie Alpine and at Inria Grenoble Alpes in Mistis team. I am working on joint modeling of species focusing on dimension reduction approaches, in particular for application on eDNA data.

CALDERON-SANOU, Irene RG

 
Encadrée par Tamara MÜNKEMÜLLER et Wilfried THUILLER


My PhD aims to get a better understanding of how environmental gradients and major disturbances influence multi-trophic assemblages diversity and structure. This work is supervised by Wilfried Thuiller and Tamara Münkemüller and makes part of the GlobNets project (ANR-16-CE02-0009) which aims to study the biogeography of soil-plant ecological networks in forest ecosystems at regional and global scales. A keystone element in the overall thesis is the combination of environmental DNA data with mathematical and statistical tools derived from network theory to decipher and study the soil multi-trophic assemblages.

FAURE, Emmanuel

 
Encadré par Sandra LAVOREL et Harold LEVREL (AgroParisTech)


My PhD work commits to a multidisciplinary approach, mostly rooted in ecology and with insights from economical and social sciences. I try to understand dynamics of mountain social-ecological systems (SES), facing forest cover extension and recovery of wild mammals (ungulates and carnivores). For the ecological part, I focus on interactions between those phenomena and human activities affecting them (pastoralism, hunting, forestry) in French Alps : first at regional scale (statistical models), then at landscape scale on the Bauges massif (mechanistic models). As for the socio-economic dimension, my goal is to better understand how stakeholder relationships change within such SES trajectories, and to anticipate its possible economic consequences.

GRANGE, Marie

 
Encadrée par Laure GALLIEN et François MUNOZ

The thematic of my PhD is the impacts of Solidago canadensis on european grassland ecosystems. I am working at characterising, understand and model the effects of this plant on local vegetation. The objective is to integrating direct (competition) and indirect (via the plant-pollinator network) effects of this invasive plant to be able to predict it’s impact on the dynamic of the local community at mid and long-term.

HER, Charlotte

 
Encadrée par François POMPANON

Approche génomique pour caractériser les processus évolutifs à l’origine des populations domestiques animales actuelles.

LEDRU, Léo

 
Encadré par Christianne GALLET, Sébastien IBANEZ et Jimmy GARNIER (LAMA)

Ma thèse s’intéresse au lien entre sélection naturelle et évolution des écosystèmes. On cherche à comprendre comment un processus de sélection naturelle peut agir au niveau de l’écosystème, en se plaçant dans un cadre théorique de sélection multi-niveaux. Notre approche est conceptuelle et théorique en utilisant des méthodes de modélisation de systèmes dynamiques. Les sous-thèmes associés sont : dynamique éco-évolutive, réseaux d’interaction, trait-based model.
 
Mes compétences : formation en écologie avec une composante importante en maths appliqués à la modélisation de systèmes dynamiques.

MARTINEZ-ALMOYNA, Camille

 
Encadrée par Tamara MÜNKEMÜLLER et Wilfried THUILLER


My phD focuses on understanding how the spatial variation of environmental conditions will modify the structure and composition of the multi-trophic assemblages, with probable consequences on ecosystem functioning. It aims to investigate plants and soil fauna community assembly processes along alpine elevational gradients, and to analyse how these assembly processes drive multiple ecosystem functions. To do so, I will combine observational studies, network theory and statistical approaches to bridge the gap between community ecology, network ecology and functional ecology.

MOINARD, Sylvain

 
Encadré par Eric COISSAC et Christelle GONINDARD


I am a first-year PhD student at the Laboratoire d’Ecologie Alpine. I am working on metabarcoding and eDNA data analysis. More specifically, I am developing stochastic PCR models that aim to better quantify the composition of environmental samples that go through the metabarcoding process. Correcting the amplification biases leads to improved biodiversity measures based on eDNA data.

O’CONNOR, Louise

 
Encadrée par Wilfried THUILLER


I am working on the ecology and conservation of food webs across space. My PhD focuses on a large dataset of interactions between vertebrate species across Europe, with the aim to predict how global changes could affect species and the interactions between them, and explore ways to prevent extinction cascades through spatial conservation planning.

POGGIATO, Giovanni RG

 
Encadré par Wilfried THUILLER et Julyan ARBEL (INRIA)


I am a PhD student in ecostatistics at the Laboratoire d’Ecologie Alpine and at Inria Grenoble - Rhône-Alpes (Mistis group).
I am working on the development of multi-species statistical models to improve the existing knowledge on biodiversity and our ability to predict it.
I particularly focus on the inclusion of species interaction networks in such models and on the joint modelisation of presence-only data.

WEIL, Sarah-Sophie RG ORCID

 
Encadrée par Laure GALLIEN, Sébastien LAVERGNE, William ALLEN (Swansea University, Wales, UK) et Luca BÖRGER (Swansea University, Wales, UK)


The role of traits in long-distance dispersal events

I am investigating how dispersal and life-history traits relate to long-distance dispersal success in the context of my joint PhD between the LECA and the Biosciences Department at Swansea University. I am using macroevolutionary and macroecological approaches to tie together patterns observed over evolutionary time, dispersal in the present, and future responses under climate change scenarios. This way I hope to better understand how evolutionary dispersal has shaped current biogeography, why some species are better dispersers than others and which risks and challenges are associated with species’ future range changes.

 

Associates


PALOMO, Ignacio @ RG ORCID

 
MOPGA Laureate, CNRS
ServAlp


Ignacio is Laureate of the Make Our Planet Great Again (MOPGA) Research Program at CNRS. He coordinates the Pathways of Transformation in the Alps (PORTAL) project that focuses on nature-based adaptation to climate change and transformative adaptation in the Alps. His research integrates human-nature interactions (ecosystem services and nature contributions to people), and socio-ecological systems in mountain environments under climate change. He is interested in interdisciplinary science and in trade-offs among social and environmental targets, as for example among the Sustainable Development Goals (SDGs). Ignacio is Lead Author of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES), member of the Global Young Academy (GYA) and founding member of the Spanish Young Academy.

 

Post-Docs


GAÜZERE, Pierre RG ORCID

 
Encadré par Tamara MÜNKEMÜLLER et Wilfried THUILLER


I am a quantitative ecologist with (broad) interests in macroecology, community ecology, functional ecology, biogeography and conservation biology.
I develop and apply biodiversity theory to improve our understanding of how natural and anthropogenic changes drive ecological dynamics. I want to bridge gaps between different fields of ecology to build a more integrative ecological science that can
(i) delineate the processes that rules biodiversity responses to environment changes at or across different spatial and temporal scales
(ii) generate empirically falsifiable predictions for biodiversity dynamics under global changes
(iii) provide guidances and better conceptual foundation for applied conservation biology.
I focus on ecoinformatic approaches to explore long-term and large spatial-scale patterns and processes, and understand how historical, anthropogenic and biotic processes can shape past and contemporary biodiversity dynamics.
I currently focus on understanding the maintenance and variation of ecological originality, and on the disequilibrium dynamics in community responses to climate change.

SI-MOUSSI, Sara

 
Encadrée par Wilfried THUILLER et Olivier FRANCOIS (TIMC-IMAG)


As a data scientist, my research generally explores the use of artificial intelligence techniques to unlock ecological knowledge from high-dimensional biodiversity observation data. In my PhD, I was interested in methods to infer species habitat preferences and asymmetric association networks using neural networks and machine learning interpretability tools.
 
In my PostDoc, I am currently working on statistical methods to better harness the complexity of environmental DNA, in order to predict the community-level response of microorganisms along Alpine gradients.

 

Technical staff


LE GUILLARME, Nicolas RG


En tant qu’ingénieur de recherche en intelligence artificielle, je coordonne un projet qui rassemble des spécialistes du séquençage de nouvelle génération, des chercheurs en écologie quantitative et des experts en intelligence artificielle, dont l’objectif est de développer une approche innovante pour le suivi de l’état et de l’évolution de la biodiversité et de la fonctionnalité des écosystèmes à l’échelle du globe.

LIONNET, Clément


En tant qu’ingénieur d’étude en bioinformatique, je développe des bases de donnée, des applications web et des programmes pour centraliser, organiser, standardiser et mettre à disposition les informations concernant les données de metabarcoding. Mon travail consiste aussi à traiter et à analyser ces données pour faciliter leurs interprétations. Pour finir je participe aux campagnes d’échantillonnage d’ADN du sol pour l’observatoire ORCHAMP.