Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5895-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5895-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Data description article
 | 
18 Aug 2026
Data description article |  | 18 Aug 2026

A global dataset of forest disturbance regimes derived from satellite biomass observations

Siyuan Wang, Hui Yang, Sujan Koirala, Maurizio Santoro, Anna Candotti, Ulrich Weber, Ranit De, Claire Robin, Felix Cremer, Matthias Forkel, Markus Reichstein, and Nuno Carvalhais

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Short summary
Forest disturbances are difficult to predict in models because they occur randomly. We discovered that the long-term rules of disturbance known as regime leave a unique footprint in a forest's spatial biomass patterns. We trained a model on millions of computer simulations to learn this link. By applying this model to detailed satellite biomass, we could read these patterns to infer the disturbance regime globally, helping make climate projections more accurate.
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