A5056125593- Wildlife Ecology and Conservation
- Wildlife-Road Interactions and Conservation
- Species Distribution and Climate Change
- Animal Ecology and Behavior Studies
- Urban Transport and Accessibility
- Avian ecology and behavior
- Cell Image Analysis Techniques
- Land Use and Ecosystem Services
- Marine Biology and Ecology Research
- Rangeland and Wildlife Management
- Animal Behavior and Reproduction
- Bat Biology and Ecology Studies
- Environmental DNA in Biodiversity Studies
- Data Analysis with R
- Ecology and biodiversity studies
- Ecology and Vegetation Dynamics Studies
Centre d'Écologie Fonctionnelle et Évolutive
2022-2024
École Pratique des Hautes Études
2022-2024
Université de Montpellier
2022-2024
Centre National de la Recherche Scientifique
2022-2024
Institut de Recherche pour le Développement
2022-2024
Université Paris Sciences et Lettres
2023
ou non, émanant des établissements d'enseignement et de recherche français étrangers, laboratoires publics privés.
Abstract Occupancy models were originally developed to better understand species distribution while accounting for imperfect detection. Because is not only shaped by habitat quality but also the ability of individuals reach suitable habitats, spatial dynamic occupancy have been proposed extend original framework defining that site colonisation was a function Euclidean distance occupied sites. However, all sites in landscape are equally accessible due presence barriers, corridors, etc. To...
Deep learning is used in computer vision problems with important applications several scientific fields. In ecology for example, there a growing interest deep automatizing repetitive analyses on large amounts of images, such as animal species identification. However, are challenging issues toward the wide adoption by community ecologists. First, programming barrier most algorithms written Python while ecologists versed R. Second, recent have focused computational aspects and simple tasks...
Abstract To document and halt biodiversity loss, monitoring, quantifying trends assessing management conservation strategies on wildlife populations communities are crucial steps. With increasing technological innovations, more data collected new quantitative methods constantly developed. These rapid developments come with an need for analytical skills, which hardly accessible to managers. On the other hand, researchers spend time research grant applications administrative tasks, leaves...
A bstract Spatial Capture-Recapture (SCR) models, parametrized with least cost path distance, provide a unifying framework for explicitly estimating landscape connectivity and population size from individual detection data. However, we frequently encounter individuals larger apparent space use than the rest of population. To avoid biased estimates, it is common practice to remove these outliers analysis. Yet such are likely be very important when aim estimate connectivity. We therefore...
Range expansion is a common feature from invasive to reintroduced or recovering populations. This process mainly driven by population growth and dispersal and, consequently, different species’ intrinsic characteristics mechanisms will result in contrasting structures space. How individuals of sex age classes are spatially distributed key understand forecast range expansions, but remains largely unexplored. Here, we developed an age-structured open spatial capture recapture (OPSCR) model how...
Abstract Connectivity, in the sense of persistence movements between habitat patches, is key to maintain endangered populations and has be evaluated management plans. In practice, connectivity difficult quantify especially for rare elusive species. Here, we use spatial capture-recapture (SCR) models with an ecological detection distance identify barriers movement. We focused on transnational critically Pyrenean brown bear ( Ursus arctos ) population, which distributed over Spain, France...
Deep learning is used in computer vision problems with important applications several scientific fields. In ecology for example, there a growing interest deep automatizing repetitive analyses on large amounts of images, such as animal species identification. However, are challenging issues toward the wide adoption by community ecologists. First, programming barrier most algorithms written Python while ecologists versed R. Second, recent have focused computational aspects and simple tasks...
Abstract Connectivity shapes species distribution across fragmented landscapes. Assessing landscape resistance to dispersal is challenging because events are rare and difficult detect especially for elusive species. To address these issues, spatial occupancy models have been developed integrate the surface concept of ecology model patch dynamics through colonization extinction while accounting imperfect detection. However, most recent approach based on least-cost path distances which assume...