Remote sensing variables improve species distribution models for alpine plant species

• Published in: Basic and applied ecology Vol. 54; pp. 1 - 13
• Main Authors: Schwager, Patrick, Berg, Christian
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.08.2021
• Subjects: alpine plants; Alpine species; applied ecology; bedrock; biodiversity; cost effectiveness; Ex-situ conservation; geographical distribution; Land surface and Surface Temperature; NDVI; Remote Sensing; research projects; seed collecting; Species Distribution Models; Styrian Alps; topography; Ex-situ conservation; Land surface and Surface Temperature; Species Distribution Models; Remote Sensing; Styrian Alps; NDVI; Alpine species

Species distribution models (SDMs) are cost-effective, transparent and flexible planning tools to support various areas in nature conservation. Variables taken from remote sensing (RS) are broadly applicable to biodiversity studies. In our study, we combined RS-variables (normalized differenced vege...