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Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening

文献类型：期刊论文

作者Bian, Chenyu1,2; Xia, Jianyang1,2; Zhang, Xuanze3; Huang, Kun1,2; Cui, Erqian1,2; Zhou, Jian1,2,4; Wei, Ning1,2; Wang, Ying-Ping5; Lombardozzi, Danica6; Goll, Daniel S. S.7
刊名JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
出版日期2023-05-01
卷号15期号:5页码:21
关键词ecosystem carbon stock global land greening traceability analysis uncertainty source gross primary production emergent constraints
DOI10.1029/2022MS003397
通讯作者Xia, Jianyang(jyxia@des.ecnu.edu.cn)
英文摘要Significant land greening since the 1980s has been detected through satellite observation, forest inventory, and Earth system modeling. However, whether and to what extent global land greening enhances ecosystem carbon stock remains uncertain. Here, using 40 global models, we first detected a positive correlation between the terrestrial ecosystem carbon stock and leaf area index (LAI) over time. Then, we diagnose the source of uncertainty of simulated the sensitivities of ecosystem carbon stock to LAI based on a traceability analysis. We found that the sensitivity of gross primary productivity (GPP) to LAI is the largest contributor to the model uncertainty in more than 60% of the vegetated grids. Using the ensemble of four long-term global data sets of GPP and three satellite LAI products from 1982 to 2014, we provided an emergent constraint on the ecosystem carbon stock increase as 0.75 +/- 0.46 kg C m(-2) per unit LAI over global land areas. Furthermore, the biome-based results reveal that the tropical forest regions have the highest inter-model variation and model bias. Overall, this study identifies the uncertainty source and provides constrained estimates of the greening effect on ecosystem carbon stock at the global scale. Plain Language Summary In the last few decades, we can see that there has been more green land from looking at satellite images, checking forest records, and using computer models. However, we do not know if having more green land is helping the ecosystem store more carbon. This study investigated the greening effect on ecosystem carbon stock among the 40 global models, but this effect varied between models. Therefore, we diagnosed the simulated source of uncertainty based on the traceability analysis framework. Based on satellite-derived data sets, we further constrained the greening effect on ecosystem carbon stock at the global scale. Land greening enhances ecosystem carbon stock, although this increase is highly heterogeneous on a global scale.
WOS关键词EARTH SYSTEM MODEL ; LEAF-AREA INDEX ; GROSS PRIMARY PRODUCTION ; ATMOSPHERIC CO2 ; SOIL-MOISTURE ; CLIMATE ; CMIP5 ; STORAGE ; VERSION ; CYCLE
资助项目National Key R&D Program of China[2022YFF0802104] ; Shanghai Pilot Program for Basic Research[TQ20220102]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000991521400001
出版者AMER GEOPHYSICAL UNION
资助机构National Key R&D Program of China ; Shanghai Pilot Program for Basic Research
源URL[http://ir.igsnrr.ac.cn/handle/311030/194922]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jianyang
作者单位1.East China Normal Univ, Inst Ecochongming, Sch Ecol & Environm Sci, Zhejiang Tiantong Forest Ecosyst Natl Observat & R, Shanghai, Peoples R China
2.East China Normal Univ, Res Ctr Global Change & Complex Ecosyst, Shanghai, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
4.Cornell Univ, Sch Integrat Plant Sci, Ithaca, NY USA
5.CSIRO Oceans & Atmosphere, Aspendale, Vic, Australia
6.Natl Ctr Atmospher Res, Terr Sci Sect, Climate & Global Dynam, Boulder, CO USA
7.Univ Paris Saclay, LSCE IPSL, CEA CNRS UVSQ, Gif Sur Yvette, France
8.Univ Exeter, Coll Engn Math & Phys Sci, Exeter, England
9.Univ Exeter, Coll Life & Environm Sci, Exeter, England
10.CSIRO Oceans & Atmosphere, Canberra, ACT, Australia
推荐引用方式
GB/T 7714		 Bian, Chenyu,Xia, Jianyang,Zhang, Xuanze,et al. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening[J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,2023,15(5):21.
APA Bian, Chenyu.,Xia, Jianyang.,Zhang, Xuanze.,Huang, Kun.,Cui, Erqian.,...&Luo, Yiqi.(2023).Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening.JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,15(5),21.
MLA Bian, Chenyu,et al."Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 15.5(2023):21.

入库方式： OAI收割

来源：地理科学与资源研究所

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