| Literature DB >> 29666314 |
Xuli Tang1, Xia Zhao2, Yongfei Bai2, Zhiyao Tang3, Wantong Wang1,4, Yongcun Zhao5, Hongwei Wan2, Zongqiang Xie2, Xuezheng Shi5, Bingfang Wu6, Gengxu Wang7, Junhua Yan1, Keping Ma2, Sheng Du8, Shenggong Li9, Shijie Han10, Youxin Ma11, Huifeng Hu2, Nianpeng He9, Yuanhe Yang2, Wenxuan Han12, Hongling He9, Guirui Yu9, Jingyun Fang13,3, Guoyi Zhou14.
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.Entities:
Keywords: carbon stock; climatic influences; human influences; spatial variations; terrestrial ecosystems
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Year: 2018 PMID: 29666314 PMCID: PMC5910800 DOI: 10.1073/pnas.1700291115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205