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Source data and 1 km-resolution plant trait maps, integrating citizen science (GBIF) with professional data (sPlot) to map plant functional traits globally.
Where on Earth do citizen observations of plant traits agree (or disagree) with professional survey data at 1 km resolution?
Where to start: Read the source-data tables from the archive selectively. Pick one trait and compare the citizen-derived vs. professional values where both exist.
What to share: A scatter or difference map for one trait and a short comment on where crowdsourcing holds up.
Share your analysis, questions and results about Crowdsourced Vegetation Monitoring: Global Plant Trait Mapping in this thread. New here? See the welcome post.
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Botany · 8.4 GB · License: CC-BY-4.0
Source data and 1 km-resolution plant trait maps, integrating citizen science (GBIF) with professional data (sPlot) to map plant functional traits globally.
🔗 Dataset page · Zenodo record
Challenge
Where on Earth do citizen observations of plant traits agree (or disagree) with professional survey data at 1 km resolution?
Share your analysis, questions and results about Crowdsourced Vegetation Monitoring: Global Plant Trait Mapping in this thread. New here? See the welcome post.
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