Preprints
https://doi.org/10.5194/essd-2026-791
https://doi.org/10.5194/essd-2026-791
09 Nov 2026
 | 09 Nov 2026
Status: this preprint is currently under review for the journal ESSD.

Annual global terrestrial ecosystem maps from 1982 to 2024 aligned with the IUCN Global Ecosystem Typology

Zhenrong Du, Le Yu, Xiyu Li, Hui Wu, Ruyue Chang, Alice C. Hughes, David Coomes, James G. C. Ball, Xiaorui Ma, Hongyu Wang, Huawei Wan, Jixi Gao, and Keping Ma

Abstract. Spatially explicit and temporally consistent ecosystem data are needed for biodiversity assessment, ecosystem accounting, conservation planning, and Earth system analysis. Existing global products commonly provide either annual land cover without a functional ecosystem classification or ecosystem maps for a single reference period. In this research, we present annual global terrestrial ecosystem maps for 1982–2024 aligned with the IUCN Global Ecosystem Typology. The workflow combines annual land cover developed by Global Land Cover Change Monitoring Platform (FROM-GLC Plus) with 18 climate regions and four landform classes to define 507 World Terrestrial Ecosystem (WTE) types. These types are aggregated as fractions within 1 km grid cells and assigned to 41 terrestrial ecosystem functional groups (EFGs), together with three cross-realm categories, through an explicit rule-based crosswalk supported by indicative distribution maps and ancillary data. Validation used a pool of 100,500 globally distributed reference locations interpreted at the EFG level. Across the valid annual subsets for 1985–2024, overall accuracy ranged from 84.62 ± 0.55 % to 87.18 ± 0.40 %, with a mean of 86.14 ± 0.47 %. This dataset serves as a crucial resource for improving our understanding of long-term global terrestrial ecosystem dynamics, supporting biodiversity assessment and ecosystem accounting, informing conservation planning and policy decisions, and advancing Earth system research. The full archive of global annual EFGs is available at: https://doi.org/10.5281/zenodo.19448555 (Du et al., 2026).

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Zhenrong Du, Le Yu, Xiyu Li, Hui Wu, Ruyue Chang, Alice C. Hughes, David Coomes, James G. C. Ball, Xiaorui Ma, Hongyu Wang, Huawei Wan, Jixi Gao, and Keping Ma

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Zhenrong Du, Le Yu, Xiyu Li, Hui Wu, Ruyue Chang, Alice C. Hughes, David Coomes, James G. C. Ball, Xiaorui Ma, Hongyu Wang, Huawei Wan, Jixi Gao, and Keping Ma

Data sets

Global annual ecosystem functional groups (EFGs) from 1982 to 2024 Zhenrong Du and Le Yu https://doi.org/10.5281/zenodo.19448555

Zhenrong Du, Le Yu, Xiyu Li, Hui Wu, Ruyue Chang, Alice C. Hughes, David Coomes, James G. C. Ball, Xiaorui Ma, Hongyu Wang, Huawei Wan, Jixi Gao, and Keping Ma

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Short summary
Existing global ecosystem maps are often static, making long-term changes difficult to track. We produced annual maps of global terrestrial ecosystems from 1982 to 2024 by combining satellite observations aligned with the IUCN Global Ecosystem Typology. Independent evaluation showed an average accuracy of 86 %. The dataset provides a consistent record for studying ecosystem change and supporting biodiversity assessment, conservation planning, and environmental policy.
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