5 citations · 11 across the 10 of their papers we have counts for
4 papers · 1 filter
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
Catherine Villeneuve, Benjamin Akera, Mélisande Teng +1
Species distribution models (SDMs), which aim to predict species occurrence based on environmental variables, are widely used to monitor and respond to biodiversity change. Recent…
CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
Hager Radi Abdelwahed, Mélisande Teng, Robin Zbinden +4
Species distribution models (SDMs) are widely used to predict species' geographic distributions, serving as critical tools for ecological research and conservation planning. Typica…
Predicting Species Occurrence Patterns from Partial Observations
Hager Radi Abdelwahed, Mélisande Teng, David Rolnick
To address the interlinked biodiversity and climate crises, we need an understanding of where species occur and how these patterns are changing. However, observational data on most…
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
Mélisande Teng, Amna Elmustafa, Benjamin Akera +4
Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of…