END_MAC v1.0: Physical habitat–conditioned SDM workflow for insular marine fishes
Abstract
END_MAC is a reproducible R workflow for modelling current and future environmental suitability of insular marine fishes under climate change. The pipeline integrates species distribution models (MaxEnt, Random Forest and XGBoost) with a physical habitat analogue framework to explicitly decouple structural habitat availability from climatic suitability. Developed for Cabo Verde endemic coastal fishes across the Macaronesian archipelagos, the workflow is transferable to other insular systems and supports climate scenario projections (SSP245, SSP370, SSP585) with spatial cross-validation and ensemble outputs.
Fields of Study & Subjects
Species Distribution and Climate Change
Fish Ecology and Management Studies
Marine and fisheries research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 February 2026
- Language
- EN