Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping.
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ABSTRACT: Plant functional traits are fundamental to ecosystem dynamics and Earth system processes, but their global characterization is limited by available field surveys and trait measurements. Recent expansions in biodiversity data aggregation-including vegetation surveys, citizen science observations, and trait measurements-offer new opportunities to overcome these constraints. Here we demonstrate that combining these diverse data sources with high-resolution Earth observation data enables accurate modeling of key plant traits at up to 1 km2 resolution. Our approach achieves correlations up to 0.63 (15 of 31 traits exceeding 0.50) and improved spatial transferability, effectively bridging gaps in under-sampled regions. By capturing a broad range of traits with high spatial coverage, t
SUBMITTER: Lusk D
PROVIDER: S-EPMC12858941 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature
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