Detection and attribution of positive net ecosystem productivity extremes in China's terrestrial ecosystems during 2000-2016
文献类型：期刊论文
| 作者 | Wang, Miaomiao2,3; Zhao, Jian2; Wang, Shaoqiang1,3,4; Chen, Bin3; Li, Zhipeng2 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 132页码:8 |
| 关键词 | Carbon cycle Positive NEP extremes Ecological model China's terrestrial ecosystems |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2021.108323 |
| 通讯作者 | Zhao, Jian(zhaojian@faas.cn) ; Wang, Shaoqiang(sqwang@igsnrr.ac.cn) |
| 英文摘要 | Positive net ecosystem productivity (NEP) extreme represents an extreme carbon sink in the terrestrial ecosystem. Studying positive NEP extremes and their control mechanisms is vital for a better understanding of the carbon cycle and mitigation of global warming. However, there are still challenges and difficulties in quantifying positive NEP extremes and finding optimal climate conditions to form them in China's terrestrial ecosystems. In this study, we used the Boreal Ecosystem Productivity Simulator (BEPS) to detect and reveal the control mechanisms of NEP extremes in China's terrestrial ecosystems. We found the positive NEP extremes occurred in 2002, 2012, and 2015, with the detrended NEP anomalies of 0.15 Pg C yr(-1), 0.11 Pg C yr(-1), and 0.09 Pg C yr(-1), respectively. Also, the three positive NEP extremes contributed 70% of the NEP uptrend during 2000-2016. Evergreen needle-leaf forests and croplands in the subtropical-tropical monsoonal region played dominant roles in the positive NEP extremes, accounting for 34.2% and 32.6% in the positive NEP extremes on average, respectively. The relationship between the anomalies of Gross primary production (GPP) and NEP was significant (P < 0.001), with the R-2 ranging from 0.32 to 0.37 in evergreen needle-leaf forests and ranging from 0.38 to 0.50 in croplands. However, the relationship between the anomalies of ecosystem respiration (Re) and NEP was not significant (P > 0.001). These results mean that GPP (rather than Re) played a decisive role in the positive NEP extremes. Also, the best climate conditions for carbon uptake in the subtropical-tropical region have temperature anomalies ranging from -1.0 to 0.5 degrees C, and precipitation anomalies ranging from 0 to 600 mm. This study provides new knowledge on the potential carbon sink scientific and technological support for mitigating climate warming in China's terrestrial ecosystem. |
| WOS关键词 | GROSS PRIMARY PRODUCTIVITY ; CARBON-DIOXIDE UPTAKE ; SEMIARID ECOSYSTEMS ; SOLAR-RADIATION ; SUMMER MONSOON ; CLIMATE ; DROUGHT ; MODEL ; PRECIPITATION ; COVARIATION |
| 资助项目 | Natural Science Foundation of Fujian Province[2021J01502] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100202] ; Smart Agriculture Technology Innovation Team[CXTD2021013-1] ; 5511 Collaborative Innovation Project[XTCXGC2021015] ; 5511 Collaborative Innovation Project[XTCXGC2021021] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000714681700001 |
| 出版者 | ELSEVIER |
| 资助机构 | Natural Science Foundation of Fujian Province ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Smart Agriculture Technology Innovation Team ; 5511 Collaborative Innovation Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167583]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Jian; Wang, Shaoqiang |
| 作者单位 | 1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China 2.Fujian Acad Agr Sci, Inst Digital Agr, Fuzhou 350003, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Miaomiao,Zhao, Jian,Wang, Shaoqiang,et al. Detection and attribution of positive net ecosystem productivity extremes in China's terrestrial ecosystems during 2000-2016[J]. ECOLOGICAL INDICATORS,2021,132:8. |
| APA | Wang, Miaomiao,Zhao, Jian,Wang, Shaoqiang,Chen, Bin,&Li, Zhipeng.(2021).Detection and attribution of positive net ecosystem productivity extremes in China's terrestrial ecosystems during 2000-2016.ECOLOGICAL INDICATORS,132,8. |
| MLA | Wang, Miaomiao,et al."Detection and attribution of positive net ecosystem productivity extremes in China's terrestrial ecosystems during 2000-2016".ECOLOGICAL INDICATORS 132(2021):8. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。