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

Authors :
Xuli Tanga
Xia Zhao
Yongfei Bai
Zhiyao Tang
Wantong Wang
Yongcun Zhao
Hongwei Wan
Zongqiang Xie
Xuezheng Shi
Bingfang Wu
Gengxu Wang
Junhua Yan
Keping Ma
Sheng Du
Shenggong Li
Shijie Han
Youxin Ma
Huifeng Hu
Nianpeng He
Yuanhe Yang
Source :
Proceedings of the National Academy of Sciences of the United States of America; 4/17/2018, Vol. 115 Issue 16, p4021-4026, 6p
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
115
Issue :
16
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
129196442
Full Text :
https://doi.org/10.1073/pnas.1700291115