Estimating area, standing carbon stock, and potential carbon stock of degraded forests in China

With the rapid economic development and continuous expansion of human activities, forest degradation—characterized by reduced forest stock within the forest including declining carbon storage—poses significant threats to ecosystem stability. Understanding the current status of forest degradation and assessing potential carbon stocks in China are of strategic importance for making forest restoration efforts and enhancing carbon sequestration capacity. In this study, we used the national forest inventory data from 2009–2018 to develop a set of standard measures for assessing degraded forests across China, based on five key indicators: forest accumulation growth rate (FAGR), forest recruitment rate (FRR), tree species reduction rate (TSRR), forest canopy cover reduction rate (FCCRR), and forest disaster level (FDL). Additionally, we estimated standing carbon stock, potential carbon stock, and theoretical space to grow by developing a stand growth model, which accounts for stand density across different site classes, to evaluate the restoration potential of degraded forests. The results indicate that degraded forest area in China is 36.15 million hectares, accounting for 20.10% of a total forest area. Standing carbon stock and potential carbon stock of degraded forests in China are 23.93 million tons and 61.90 million tons, respectively. Overall, degraded forest varies significantly across different regions. The results highlight the important trade-offs among environmental factors, policy decisions, and forest conditions, providing a robust foundation for developing measures to enhance forest quality.

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Publication Details

Journal
Forest Ecosystems
Published
2025-03-07
DOI
https://doi.org/10.1016/j.fecs.2025.100321
Citations
1
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
2.31

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Estimating area, standing carbon stock, and potential carbon stock of degraded forests in China

Xingrong Yan, Ram P. Sharma, Qiaolin Ye, Hongchao Huang et al.
1 citations
Forest Ecosystems
Forest ecology and management
2.31
article

Estimating area, standing carbon stock, and potential carbon stock of degraded forests in China

Xingrong Yan, Ram P. Sharma, Qiaolin Ye, Hongchao Huang, Lifeng Pang, Linyan Feng, Dongbo Xie, Zhichao Ma, Liyong Fu, Shouzheng Tang, Qiao Chen, Wenwen Wang, Xiaofang Zhang, Chunyan Wu, Wenqiang Gao
article en
1 citations

Abstract

With the rapid economic development and continuous expansion of human activities, forest degradation—characterized by reduced forest stock within the forest including declining carbon storage—poses significant threats to ecosystem stability. Understanding the current status of forest degradation and assessing potential carbon stocks in China are of strategic importance for making forest restoration efforts and enhancing carbon sequestration capacity. In this study, we used the national forest inventory data from 2009–2018 to develop a set of standard measures for assessing degraded forests across China, based on five key indicators: forest accumulation growth rate (FAGR), forest recruitment rate (FRR), tree species reduction rate (TSRR), forest canopy cover reduction rate (FCCRR), and forest disaster level (FDL). Additionally, we estimated standing carbon stock, potential carbon stock, and theoretical space to grow by developing a stand growth model, which accounts for stand density across different site classes, to evaluate the restoration potential of degraded forests. The results indicate that degraded forest area in China is 36.15 million hectares, accounting for 20.10% of a total forest area. Standing carbon stock and potential carbon stock of degraded forests in China are 23.93 million tons and 61.90 million tons, respectively. Overall, degraded forest varies significantly across different regions. The results highlight the important trade-offs among environmental factors, policy decisions, and forest conditions, providing a robust foundation for developing measures to enhance forest quality.

Forest EcosystemsVol. 13
Tribhuvan University (NP), Nanjing Forestry University (CN), Xinzhou Teachers University (CN), Institute of Forest Resource Information Techniques (CN), Chinese Academy of Forestry (CN), Research Institute of Forestry (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 16%
Forest ecology and management
2.31
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