A global 30&thinsp;m disturbance-recovery age dataset for young natural and planted forests (1985–2024)

Wang, Yan; Wang, Hengbin; Liang, Chaoran; Li, Xiyi; Liu, Zhe; Zhang, Xiaodong; Li, Shaoming; Yang, Jinming; Zhao, Yuanyuan

doi:10.5194/essd-18-6225-2026

Articles | Volume 18, issue 9

https://doi.org/10.5194/essd-18-6225-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-6225-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Data description article

|

01 Sep 2026

Data description article |

| 01 Sep 2026

A global 30 m disturbance-recovery age dataset for young natural and planted forests (1985–2024)

Yan Wang, Hengbin Wang, Chaoran Liang, Xiyi Li, Zhe Liu, Xiaodong Zhang, Shaoming Li, Jinming Yang, and Yuanyuan Zhao

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Cumulative views and downloads (calculated since 08 Jan 2026)

Month	HTML	PDF	XML	Total
Jan 2026	198	136	16	350
Feb 2026	92	117	9	218
Mar 2026	135	129	10	274
Apr 2026	315	224	35	574
May 2026	848	77	14	939
Jun 2026	40	25	4	69
Jul 2026	103	37	5	145
Aug 2026	64	31	0	95
Sep 2026	776	360	81	1,217
Oct 2026	220	111	24	355

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Short summary

Forests are vital for biodiversity, carbon storage and ecosystem services. We developed a 30 m global forest-age dataset (1985–2024) that distinguishes natural and planted forests with different recovery dynamics. The dataset integrates long-term satellite observations and provides pixel-level uncertainty information, enabling improved understanding of global forest age patterns and supporting carbon, ecosystem and forest management studies.