Logo image
Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping
Journal article   Open access   Peer reviewed

Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping

Daniel Lusk, Sophie Wolf, Daria Svidzinska, Carsten F. Dormann, Jens Kattge, Helge Bruelheide, Francesco Maria Sabatini, Gabriella Damasceno, Álvaro Moreno Martínez, Cyrille Violle, …
Nature communications, Vol.17(1), 1203
2026
PMID: 41617716
pdf
Published3.95 MBDownloadView
CC BY V4.0 Open Access

Abstract

631/158/851 704/158/1144 704/158/852 Article Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary)
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, these maps can enhance understanding of plant community properties and ecosystem functioning, while serving as tools for modeling global biogeochemical processes and informing conservation efforts. Our framework highlights the power of crowdsourced biodiversity data in addressing longstanding extrapolation challenges in global plant trait modeling, with continued advancements in data collection and remote sensing poised to further refine trait-based understanding of the biosphere.

Details

Metrics

2 File views/ downloads
3 Record Views
Logo image