Regional Contributions and Climate Attributions to Interannual Variation of Global Net Ecosystems Production by an ECOSYSTEM Processed Model Driven by Remote Sensing Data over the Past 35 Years
文献类型: 外文期刊
作者: Wang, Miaomiao 1 ; Zhao, Jian 1 ; Wang, Shaoqiang 2 ; Chen, Bin 2 ;
作者机构: 1.Fujian Acad Agr Sci, Inst Digital Agr, Fuzhou 350003, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
关键词: global climate change; interannual variability (IAV); net ecosystem production; regional contribution; climate attribution
期刊名称:REMOTE SENSING ( 影响因子:5.349; 五年影响因子:5.786 )
ISSN:
年卷期: 2022 年 14 卷 13 期
页码:
收录情况: SCI
摘要: Global climate change has significantly affected terrestrial carbon sinks. Net ecosystem production (NEP) plays a critical role in the global carbon cycle. However, interannual variability (IAV) of the NEP and its regional contributions and climate attributions are not well-understood on a global scale. This study used a diagnostic model driven by remote sensing leaf area index (LAI) to investigate the NEP IAV and analyze regional and climate contributions on a global scale from 1982 to 2016. We found large NEP IAV during the study period, with the NEP detrended anomaly ranging from -2.3 Pg C in 1998 to 1.6 Pg C in 2013 at a global scale. Furthermore, 63.7% and 34.1% of the areas showed positive and negative contributions to NEP IAVs globally, respectively. Evergreen broadleaf forest (EBF) contributed the most (31.1%) to NEP IAV, followed by cropland (21.7%) and grassland (20.8%). Temperature played the most critical roles in the global NEP IAV, with a contribution of 45.5%. However, the partial correlation between NEP and temperature was negative, and the correlation with precipitation was positive in most areas of the globe, indicating that global warming is not conducive to the global carbon sink, but abundant rainfall is important for the global carbon cycle. This study suggests that, to increase the global carbon sink, we should pay more attention to tropical forests (EBFs) and highlight the importance of water availability.
- 相关文献
作者其他论文 更多>>
-
Spatial differentiation characteristics of the Hemiptera insects in China
作者:Li, Zhipeng;Zhang, Xinyi;Zhao, Jian;Chen, Hong;Tian, Maofen;Tian, Maofen
关键词:geographical detector; Hemiptera insects; hot spot analysis; influencing factors; spatial autocorrelation; spatial distribution
-
Tuta absoluta management in China: progress and prospects
作者:Wang, Ming-hui;Ismoilov, Khasan;Zhang, Li-yun;Han, Peng;Wang, Ming-hui;Ismoilov, Khasan;Han, Peng;Liu, Wan-xue;Zhang, Yibo;Bai, Ming;Bai, Ming;Bai, Ming;Bai, Xiao-shuan;Chen, Bin;Gui, Fu-rong;Zhang, Xiao-ming;Chen, Haoliang;Chen, Hong-song;Dong, Yong-cheng;Fang, Kui;Huang, Guo-Hua;Jiang, Chun-mei;Jiang, Hong-bo;Jiang, Hong-bo;Li, Xiao-wei;Lu, Yao-bin;Luo, Chen;Luo, Chen;Lu, Zhao-zhi;Lu, Yao-bin;Ma, De-ying;Pu, De-qiang;Qu, Yanyan;Sang, Wen;Song, Li-mei;Sun, Xiao;Sun, Yuan-xing;Wan, Bin;Wang, Xin-pu;Yang, Wen-jia;Yang, Xue-qing;Yang, Xue-qing;Yao, Feng-Luan;Ye, Zheng-pei;Zhang, Ye;Zhu, Wen-ya;Zhao, Chen-chen;Zhou, Qiong;Zhou, Wen-wu;Rodriguez-Saona, Cesar;Biondi, Antonio;Jaworski, Coline C.;Desneux, Nicolas
关键词:biological invasion; insect pests; IPM; multi-pest approach; international projects; South American tomato pinworm
-
Dynamic change of tea (Camellia sinensis) leaf cuticular wax in white tea processing for contribution to tea flavor formation
作者:Zuo, Hao;Li, Ping;Li, Penghui;Si, Xiongyuan;Li, Juan;Liu, Zhonghua;Zhao, Jian;Chen, Zhihui;Chen, Changsong
关键词:Cuticular wax; Dehydration; Caffeine; Inositol; Tea aroma; Tea flavor; Tea processing
-
An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network
作者:Qiu, Rong-Zhou;Chen, Shao-Ping;Chi, Mei-Xiang;Wang, Rong-Bo;Huang, Ting;Fan, Guo-Cheng;Zhao, Jian;Weng, Qi-Yong
关键词:citrus greening; Huanglongbing; automated identification; deep learning; convolutional neural networks
-
Detection of Carbon Use Efficiency Extremes and Analysis of Their Forming Climatic Conditions on a Global Scale Using a Remote Sensing-Based Model
作者:Wang, Miaomiao;Zhao, Jian;Wang, Miaomiao;Wang, Shaoqiang;Wang, Shaoqiang;Wang, Shaoqiang
关键词:carbon use efficiency; extreme events; gross primary production; climate conditions; ecosystem model
-
Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
作者:Zhang, Xinyi;Zhao, Jian;Wang, Miaomiao;Li, Zhipeng;Chen, Hong;Zhang, Xinyi;Lin, Sheng;Zhao, Jian
关键词:Amaranthus palmeri S; Watson; climate change; MaxEnt model; potential distribution; suitability
-
Global positive gross primary productivity extremes and climate contributions during 1982-2016
作者:Wang, Miaomiao;Zhao, Jian;Wang, Miaomiao;Wang, Shaoqiang;Wang, Shaoqiang;Wang, Shaoqiang;Ju, Weimin;Hao, Zhuo
关键词:Positive GPP extremes; Climate extremes; Terrestrial biosphere models (TBMs); The global terrestrial ecosystem