معرفی
Elham Ebrahimi is a quantitative ecologist and Researcher at Utrecht University and Wageningen University & Research, specializing in Wildlife Ecology. Her work integrates geospatial data science, artificial intelligence (AI), and ecological analysis to study biodiversity patterns under global environmental change.
- Key affiliations: Utrecht University (Faculty of Science), Wageningen University & Research
- Expertise: Biodiversity Conservation, Spatial Modelling, Machine Learning, Remote Sensing
Her research focuses on:
- Climate change effects on species distributions
- Protected area effectiveness
- AI-driven biodiversity monitoring
- Species-environment interactions
- Environmental niche modelling
- Conservation planning under global change
Recent publications (2019–2025) analyze climate impacts on amphibians, rodents, and avian scavengers using machine learning, remote sensing, and multi-species datasets. Contributions to the Biodiversa+ BIG PICTURE project emphasize harmonizing citizen science and professional imagery for continental-scale wildlife assessments.
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