Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years Article Swipe
Yongzhe Chen
,
Xiaoming Feng
,
Bojie Fu
,
Haozhi Ma
,
Constantin M. Zohner
,
Thomas W. Crowther
,
Yuanyuan Huang
,
Xutong Wu
,
Fangli Wei
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/essd-15-897-2023
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/essd-15-897-2023
To quantify the ecological consequences of recent nationwide restoration efforts in China, spatially explicit information on forest biomass carbon stock changes over the past 20 years is critical. However, long-term biomass tracking at the national scale remains challenging as it requires continuous and high-resolution monitoring. Here, we characterize the changes in the above- and belowground biomass carbon (AGBC and BGBC) of forests in China between 2002 and 2021 at 1 km spatial resolution by integrating multiple types of remote sensing observations with intensive field measurements through regression and machine learning approaches. On average, 8.6 ± 0.6 and 2.2 ± 0.1 PgC were stored in above- and belowground live forests in China. Over the last 20 years, the total forest biomass carbon pool in China has increased at a rate of 114.5 ± 16.3 TgC yr−1 (approximately 1.1 % yr−1). The most pronounced forest biomass carbon stock gains occurred in central to southern China, including the southern Loess Plateau, Qinling mountains, southwestern karsts and southeastern forests. While the combined use of multi-source remote sensing data provides a powerful tool to assess the forest biomass carbon changes, future research is also needed to explore the drivers of the observed woody biomass trends and to evaluate the degree to which biomass gains will translate into biodiverse, healthy ecosystems that are sustainable. Annual forest above- and belowground biomass maps for China are now available at https://doi.org/10.6084/m9.figshare.21931161.v1 (Chen, 2023).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/essd-15-897-2023
- OA Status
- gold
- Cited By
- 55
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321458638
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321458638Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/essd-15-897-2023Digital Object Identifier
- Title
-
Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 yearsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-02-21Full publication date if available
- Authors
-
Yongzhe Chen, Xiaoming Feng, Bojie Fu, Haozhi Ma, Constantin M. Zohner, Thomas W. Crowther, Yuanyuan Huang, Xutong Wu, Fangli WeiList of authors in order
- Landing page
-
https://doi.org/10.5194/essd-15-897-2023Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/essd-15-897-2023Direct OA link when available
- Concepts
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Carbon stock, Biomass (ecology), Environmental science, Ecosystem, China, Forest ecology, Biodiversity, Agroforestry, Physical geography, Forestry, Ecology, Geography, Climate change, Biology, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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55Total citation count in OpenAlex
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2025: 26, 2024: 21, 2023: 8Per-year citation counts (last 5 years)
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58Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5075334082, https://openalex.org/A5084426314, https://openalex.org/A5112552886, https://openalex.org/A5002304100, https://openalex.org/A5079355098, https://openalex.org/A5112597858, https://openalex.org/A5071160514, https://openalex.org/A5047078623, https://openalex.org/A5042352588 |
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| corresponding_institution_ids | https://openalex.org/I1281210470, https://openalex.org/I1292875679, https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I19820366, https://openalex.org/I25254941, https://openalex.org/I2738703131, https://openalex.org/I277688954, https://openalex.org/I35440088, https://openalex.org/I4210124937, https://openalex.org/I4210128565, https://openalex.org/I4210144289, https://openalex.org/I4210165038 |
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