Spatial variations in terrestrial net ecosystem productivity and its local indicators
文献类型：期刊论文
| 作者 | Cui, Erqian2,3; Bian, Chenyu2,3; Luo, Yiqi4; Niu, Shuli1,5; Wang, Yingping6; Xia, Jianyang2,3 |
| 刊名 | BIOGEOSCIENCES
 |
| 出版日期 | 2020-12-09 |
| 卷号 | 17期号:23页码:6237-6246 |
| ISSN号 | 1726-4170 |
| DOI | 10.5194/bg-17-6237-2020 |
| 通讯作者 | Xia, Jianyang(jyxia@des.ecnu.edu.cn) |
| 英文摘要 | Multiple lines of evidence have demonstrated the persistence of global land carbon (C) sink during the past several decades. However, both annual net ecosystem productivity (NEP) and its inter-annual variation (IAV(NEP)) keep varying over space. Thus, identifying local indicators for the spatially varying NEP and IAV(NEP) is critical for locating the major and sustainable C sinks on land. Here, based on daily NEP observations from FLUXNET sites and large-scale estimates from an atmospheric-inversion product, we found a robust logarithmic correlation between annual NEP and seasonal carbon uptake-release ratio (i.e. U / R). The cross-site variation in mean annual NEP could be logarithmically indicated by U / R, while the spatial distribution of IAV(NEP) was associated with the slope (i.e. beta) of the logarithmic correlation between annual NEP and U / R. Among biomes, for example, forests and croplands had the largest U / R ratio (1.06 +/- 0.83) and beta (473 +/- 112 g C m(-2) yr(-1)), indicating the highest NEP and IAV(NEP) in forests and croplands, respectively. We further showed that these two simple indicators could directly infer the spatial variations in NEP and IAV(NEP) in global gridded NEP products. Overall, this study provides two simple local indicators for the intricate spatial variations in the strength and stability of land C sinks. These indicators could be helpful for locating the persistent terrestrial C sinks and provide valuable constraints for improving the simulation of land-atmospheric C exchanges. |
| WOS关键词 | GROSS PRIMARY PRODUCTIVITY ; INTERANNUAL VARIABILITY ; SEMIARID ECOSYSTEMS ; CARBON EXCHANGE ; DOMINANT ROLE ; CO2 ; PLANT ; RESPIRATION ; FLUXES ; FEEDBACKS |
| 资助项目 | National Key R&D Program of China[2017YFA0604600] ; National Natural Science Foundation of China[31722009] ; National 1000 Young Talents Program of China ; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration[SHUES2020B01] ; Fundamental Research Funds for the Central Universities |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000599338300005 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; National 1000 Young Talents Program of China ; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/137274]  |
| 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.Univ Chinese Acad Sci, Dept Resources & Environm, Beijing, Peoples R China 2.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Zhejiang Tiantong Forest Ecosyst Natl Observat &, Shanghai 200241, Peoples R China 3.East China Normal Univ, Res Ctr Global Change & Ecol Forecasting, Shanghai 200241, Peoples R China 4.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 6.CSIRO Oceans & Atmosphere, PMB 1, Aspendale, Vic 3195, Australia |
| 推荐引用方式 GB/T 7714 | Cui, Erqian,Bian, Chenyu,Luo, Yiqi,et al. Spatial variations in terrestrial net ecosystem productivity and its local indicators[J]. BIOGEOSCIENCES,2020,17(23):6237-6246. |
| APA | Cui, Erqian,Bian, Chenyu,Luo, Yiqi,Niu, Shuli,Wang, Yingping,&Xia, Jianyang.(2020).Spatial variations in terrestrial net ecosystem productivity and its local indicators.BIOGEOSCIENCES,17(23),6237-6246. |
| MLA | Cui, Erqian,et al."Spatial variations in terrestrial net ecosystem productivity and its local indicators".BIOGEOSCIENCES 17.23(2020):6237-6246. |
入库方式： OAI收割
来源：地理科学与资源研究所
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