High intraspecific variability and uneven interspecies spectral distances weaken the link between spectral variance and taxonomic diversity. Simulations of artificial tree communities in a tropical f...

Light drones provide a cheap and effective tool to monitor forest canopy, especially in tropical and equatorial contexts, where infrastructure and res…

Assessing the true stability of slow-dynamic ecosystems, such as forests, remains a major challenge in ecology. Beyond advancing our understanding of ecosystem functioning, this issue has critical implications for predicting their long-term trajectories and improving management strategies. Here, we integrate theoretical modeling with field and remote sensing data to evaluate the stability of a potential alternative stable state within Central African tropical moist forests: the Marantaceae forest. As forests face increasing disturbances, the model accounts for the combined effects of fire and forestry on the relative stability of forest types. Long-term simulations predict notable shifts in the Central African forest mosaic under certain scenarios, informing sustainable management approaches.

YouTube video by César Leblanc

Differentiable programming encompasses methods for computing the gradient of a numerical model’s output. As a cornerstone of modern scientific computing, it presents immense opportunities to enhance our understanding and prediction of natural systems. In this talk, I will introduce the fundamental concepts of differentiable programming, present the available toolbox for practitioners, share lessons learned from a user perspective, and showcase three research projects from my portfolio that leverage differentiable programming to advance ecological research: predicting spatial biodiversity patterns, modeling ecological community dynamics, and optimizing biodiversity conservation planning. Through this talk, I aim to illustrate how differentiable programming can accelerate the integration of scientific models and data, a crucial step toward building interpretable models with robust extrapolation capabilities.

Abstract. Mango (Mangifera indica L.), a leading tropical fruit crop, is a prime candidate for intensification through modern orchard-management techniques

Premise The Glossopteridales are an extinct group of seed plants that dominated mid to high latitude floras of the supercontinent Gondwana during the Permian (298–251 million years ago). Reconstruct.....

Pl@ntNet a eu le plaisir d’accueillir ces deux dernières semaines Étienne Laliberté, chercheur au MILA (Montréal Institute for Learning Algorithms). Actuellement en visite à Montpellier, il a échangé ...

The first training session on the use of the Pl@ntNet application in Uganda was recently held. Five one-day training sessions, combining both theoretical and practical components, took place at the .....