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Carbon pools in China's terrestrial ecosystems: New estimates based on an intensive field survey

Authors :
Shenggong Li
Xuli Tang
Wantong Wang
Sheng Du
Hongwei Wan
Yongcun Zhao
Wenxuan Han
Keping Ma
Junhua Yan
Huifeng Hu
Youxin Ma
Gengxu Wang
Bingfang Wu
Jingyun Fang
Hongling He
Shijie Han
Guirui Yu
Guoyi Zhou
Yuanhe Yang
Nianpeng He
Xia Zhao
Zongqiang Xie
Xuezheng Shi
Yongfei Bai
Zhiyao Tang
Source :
Proceedings of the National Academy of Sciences of the United States of America. 115(16)
Publication Year :
2018

Abstract

China's terrestrial ecosystems have functioned as important carbon sinks. However, previous estimates of carbon budgets have included large uncertainties owing to the limitations of sample size, multiple data sources, and inconsistent methodologies. In this study, we conducted an intensive field campaign involving 14,371 field plots to investigate all sectors of carbon stocks in China's forests, shrublands, grasslands, and croplands to better estimate the regional and national carbon pools and to explore the biogeographical patterns and potential drivers of these pools. The total carbon pool in these four ecosystems was 79.24 ± 2.42 Pg C, of which 82.9% was stored in soil (to a depth of 1 m), 16.5% in biomass, and 0.60% in litter. Forests, shrublands, grasslands, and croplands contained 30.83 ± 1.57 Pg C, 6.69 ± 0.32 Pg C, 25.40 ± 1.49 Pg C, and 16.32 ± 0.41 Pg C, respectively. When all terrestrial ecosystems are taken into account, the country's total carbon pool is 89.27 ± 1.05 Pg C. The carbon density of the forests, shrublands, and grasslands exhibited a strong correlation with climate: it decreased with increasing temperature but increased with increasing precipitation. Our analysis also suggests a significant sequestration potential of 1.9-3.4 Pg C in forest biomass in the next 10-20 years assuming no removals, mainly because of forest growth. Our results update the estimates of carbon pools in China's terrestrial ecosystems based on direct field measurements, and these estimates are essential to the validation and parameterization of carbon models in China and globally.

Details

ISSN :
10916490
Volume :
115
Issue :
16
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Accession number :
edsair.doi.dedup.....4a48a1c307b8b7d560f0794a7cd078e4