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Optimizing Geographical Background in SDMs by Valentina Grisales Betancur is a document available to read on EtoBox.
What is Optimizing Geographical Background in SDMs about?
The study investigates the impact of geographical background (GB) extent on species distribution models (SDMs) using trend surface analysis (TSA) for four ungulate species in mainland Spain. It finds that while larger GBs can enhance model discrimination, they may reduce calibration and informativeness, suggesting that a well-defined GB can improve model performance in core species areas. The authors recommend using TSA to objectively delimit GB for better SDM outcomes.
- Author
- Valentina Grisales Betancur
- Language
- EN