China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests

China has restored extensive forest areas through afforestation and natural regeneration, contributing to climate change mitigation. However, the restoration patterns and the mechanisms driving aboveground carbon accumulation in these forests remain unclear. We mapped the distribution of the aboveground carbon accumulation rates for China’s young planted and natural forests in 2020 and identified key factors influencing their variability using remote sensing and field data. The analysis reveals marked spatial heterogeneity in aboveground carbon accumulation rates of these restored young forests, driven primarily by seasonal temperature. At comparable ages, young planted forests show lower aboveground carbon accumulation rates than young natural forests, mainly due to different tree density. Although young planted forests currently sequester more carbon, projections indicate that by 2060 its total aboveground carbon stock will be lower than that of young natural forests. Consequently, our findings emphasize optimizing forest structure in managing China’s planted forests to enhance carbon storage. China’s afforested forests have higher tree densities and slower aboveground carbon accumulation rates than naturally regenerated forests, but they currently store more carbon because of their larger covered areas, according to an analysis of national forest inventory and remote sensing data.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2025-05-05
DOI
https://doi.org/10.1038/s43247-025-02323-z
Citations
8
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
8.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests

Shengli Tao, Qinghua Guo, Guoran Huang, Yu Ren et al.
8 citations
Communications Earth & Environment
Forest Management and Policy
8.84
article

China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests

Shengli Tao, Qinghua Guo, Guoran Huang, Yu Ren, Kai Cheng, Tianyu Xiang, Zekun Yang, Haitao Yang, Yixuan Zhang, Yuling Chen, Zhen Yu, Jiachen Xu, Guangcai Xu, Mengxi Chen
article en
8 citations

Abstract

China has restored extensive forest areas through afforestation and natural regeneration, contributing to climate change mitigation. However, the restoration patterns and the mechanisms driving aboveground carbon accumulation in these forests remain unclear. We mapped the distribution of the aboveground carbon accumulation rates for China’s young planted and natural forests in 2020 and identified key factors influencing their variability using remote sensing and field data. The analysis reveals marked spatial heterogeneity in aboveground carbon accumulation rates of these restored young forests, driven primarily by seasonal temperature. At comparable ages, young planted forests show lower aboveground carbon accumulation rates than young natural forests, mainly due to different tree density. Although young planted forests currently sequester more carbon, projections indicate that by 2060 its total aboveground carbon stock will be lower than that of young natural forests. Consequently, our findings emphasize optimizing forest structure in managing China’s planted forests to enhance carbon storage. China’s afforested forests have higher tree densities and slower aboveground carbon accumulation rates than naturally regenerated forests, but they currently store more carbon because of their larger covered areas, according to an analysis of national forest inventory and remote sensing data.

Communications Earth & EnvironmentVol. 6(1)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Peking University (CN), Southwest Forestry University (CN), Chengdu University of Technology (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 2%
Forest Management and Policy
8.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.