156 citations
- Centre National de la Recherche ScientifiqueFR12 papers
- Université Grenoble AlpesFR11 papers
- Université Savoie Mont BlancFR4 papers
- Laboratoire Jean KuntzmannFR3 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmesFR2 papers
- Institut de Planétologie et d'Astrophysique de GrenobleFR2 papers
- Translational Innovation in Medicine and ComplexityFR2 papers
- University of Eastern FinlandFI2 papers
- California Institute of TechnologyUS1 paper
- Cardiff UniversityGB1 paper
- Centre d'Écologie Fonctionnelle et ÉvolutiveFR1 paper
18 papers
Uncovering symmetric and asymmetric species associations from community and environmental data
Sara Si-Moussi, Esther Galbrun, Mickael Hedde +3
There is no much doubt that biotic interactions shape community assembly and ultimately the spatial co-variations between species. There is a hope that the signal of these biotic i…
Continental-scale habitat distribution modelling with multimodal earth observation foundation models
Sara Si-Moussi, Stephan Hennekens, Sander Mucher +6
Habitats integrate the abiotic conditions, vegetation composition and structure that support biodiversity and sustain nature's contributions to people. Most habitats face mounting…
Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
Sara Si-moussi, Wilfried Thuiller, Esther Galbrun +6
Earthworms are key drivers of soil function, influencing organic matter turnover, nutrient cycling, and soil structure. Understanding the environmental controls on their distributi…
Action Research in Astronomy and Ecology: The observatory of the night environment in Grenoble
Julien Milli, Merlin Boribon, Fabien Malbet +4
We present an example of low-carbon research activity carried out by astrophysicists and focused on ecology and environmental protection, with direct impacts on territories and soc…
Novel community data in ecology -- properties and prospects
Florian Hartig, Nerea Abrego, Alex Bush +14
New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales…
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms
Daria Bystrova, Charles K. Assaad, Julyan Arbel +3
Constraint-based methods and noise-based methods are two distinct families of methods proposed for uncovering causal graphs from observational data. However, both operate under str…