Predicting species diversity and community traits from remote sensing in species-rich grasslands.

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Bibliographic Details
Title: Predicting species diversity and community traits from remote sensing in species-rich grasslands.
Authors: Suter S; School of Social and Environmental Sustainability, University of Glasgow, Glasgow, UK. samantha.suter@unine.ch.; Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland. samantha.suter@unine.ch., Welden N; School of Social and Environmental Sustainability, University of Glasgow, Glasgow, UK., Roberts K; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK., Barrett B; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK.
Source: BMC ecology and evolution [BMC Ecol Evol] 2026 Feb 13; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 13.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101775613 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-7182 (Electronic) Linking ISSN: 27307182 NLM ISO Abbreviation: BMC Ecol Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2730-7182
DOI:10.1186/s12862-026-02500-4