A Satellite-Based Model for Simulating Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands

文献类型： 外文期刊

第一作者： Ge, Rong

作者： Ge, Rong;He, Honglin;Ren, Xiaoli;Zhang, Li;Zeng, Na;Yu, Guirui;Zhang, Liyun;Shi, Peili;Ge, Rong;Zeng, Na;Zhang, Liyun;Wang, Yanfen;Ma, Yaoming;He, Honglin;Zhang, Li;Yu, Guirui;Li, Pan;Yu, Shi-Yong;Zhang, Fawei;Li, Hongqin;Chen, Shiping;Xin, Xiaoping;Ma, Yaoming;Ma, Yaoming;Ma, Mingguo;Zhang, Yu;Du, Mingyuan

作者机构：

关键词： ecosystem respiration;MODIS;moisture effect;ChinaFLUX;alpine grasslands;temperate grasslands

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN： 2072-4292

年卷期： 2018 年 10 卷 1 期

页码：

收录情况： SCI

摘要： It is important to accurately evaluate ecosystem respiration (RE) in the alpine grasslands of the Tibetan Plateau and the temperate grasslands of the Inner Mongolian Plateau, as it serves as a sensitivity indicator of regional and global carbon cycles. Here, we combined flux measurements taken between 2003 and 2013 from 16 grassland sites across northern China and the corresponding MODIS land surface temperature (LST), enhanced vegetation index (EVI), and land surface water index (LSWI) to build a satellite-based model to estimate RE at a regional scale. First, the dependencies of both spatial and temporal variations of RE on these biotic and climatic factors were examined explicitly. We found that plant productivity and moisture, but not temperature, can best explain the spatial pattern of RE in northern China's grasslands; while temperature plays a major role in regulating the temporal variability of RE in the alpine grasslands, and moisture is equally as important as temperature in the temperate grasslands. However, the moisture effect on RE and the explicit representation of spatial variation process are often lacking in most of the existing satellite-based RE models. On this basis, we developed a model by comprehensively considering moisture, temperature, and productivity effects on both temporal and spatial processes of RE, and then, we evaluated the model performance. Our results showed that the model well explained the observed RE in both the alpine (R-2 = 0.79, RMSE = 0.77 g C m(-2) day(-1)) and temperate grasslands (R-2 = 0.75, RMSE = 0.60 g C m(-2) day(-1)). The inclusion of the LSWI as the water-limiting factor substantially improved the model performance in arid and semi-arid ecosystems, and the spatialized basal respiration rate as an indicator for spatial variation largely determined the regional pattern of RE. Finally, the model accurately reproduced the seasonal and inter-annual variations and spatial variability of RE, and it avoided overestimating RE in water-limited regions compared to the popular process-based model. These findings provide a better understanding of the biotic and climatic controls over spatiotemporal patterns of RE for two typical grasslands and a new alternative up-scaling method for large-scale RE evaluation in grassland ecosystems.

分类号：

  • 相关文献

[1]Different responses of ecosystem carbon exchange to warming in three types of alpine grassland on the central Qinghai-Tibetan Plateau. Ganjurjav, Hasbagan,Hu, Guozheng,Wan, Yunfan,Li, Yue,Gao, Qingzhu,Ganjurjav, Hasbagan,Hu, Guozheng,Wan, Yunfan,Li, Yue,Gao, Qingzhu,Danjiu, Luobu. 2018

[2]Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China. Yu, Gui-Rui,Zhu, Xian-Jin,Fu, Yu-Ling,He, Hong-Lin,Wang, Qiu-Feng,Wen, Xue-Fa,Li, Xuan-Ran,Zhang, Lei-Ming,Zhang, Li,Su, Wen,Li, Sheng-Gong,Sun, Xiao-Min,Wang, Hui-Min,Shi, Pei-Li,Zhao, Feng-Hua,Zhu, Xian-Jin,Li, Xuan-Ran,Wang, Yan-Fen,Zhang, Yi-Ping,Zhang, Jun-Hui,Yan, Jun-Hua,Zhou, Guang-Sheng,Jia, Bing-Rui,Chen, Shi-Ping,Xiang, Wen-Hua,Li, Ying-Nian,Zhao, Liang,Xin, Xiao-Ping,Wang, Yu-Ying,Tong, Cheng-Li. 2013

[3]Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations. Zhu, Xian-Jin,Yu, Gui-Rui,He, Hong-Lin,Wang, Qiu-Feng,Chen, Zhi,Gao, Yan-Ni,Wang, Hui-Min,Shi, Pei-Li,Zhao, Feng-Hua,Fu, Yu-Ling,Wen, Xue-Fa,Liu, Ying-Chun,Zhang, Lei-Ming,Zhang, Li,Su, Wen,Li, Sheng-Gong,Sun, Xiao-Min,Wang, Yan-Fen,Liu, Ying-Chun,Zhang, Yi-Ping,Zhang, Jun-Hui,Yan, Jun-Hua,Zhou, Guang-Sheng,Jia, Bing-Rui,Chen, Shi-Ping,Xiang, Wen-Hua,Li, Ying-Nian,Zhao, Liang,Xin, Xiao-Ping,Wang, Yu-Ying,Tong, Cheng-Li.

[4]The response of ecosystem CO2 exchange to small precipitation pulses over a temperate steppe. Hao, Yanbin,Wang, Yanfen,Mei, Xurong,Cui, Xiaoyong.

[5]Selecting the Optimal NDVI Time-Series Reconstruction Technique for Crop Phenology Detection. Wei, Wei,Wu, Wenbin,Li, Zhengguo,Yang, Peng,Zhou, Qingbo. 2016

[6]Temporal-spatial variation of evapotranspiration in the Yellow River Delta based on an integrated remote sensing model. Li, He,Chen, Zhongxin,Jiang, Zhiwei,Sun, Liang,Liu, Ke,Liu, Bin,Li, He,Chen, Zhongxin,Jiang, Zhiwei,Sun, Liang,Liu, Ke,Liu, Bin. 2015

[7]Mapping drought status of winter wheat from MODIS data in North China Plain. Gao, Lei,Qin, Zhihao,Lu, Liping,Pei, Huan,Qin, Zhihao,Xu, Bin. 2007

[8]ASSESSING AND MAPPING CROP VULNERABILITY DUE TO SUDDEN COOLING USING TIME SERIES SATELLITE DATA. Dong, Yansheng,Gu, Xiaohe,Wang, Jihua,Cui, Bei. 2012

[9]VALIDATION OF MODIS FAPAR PRODUCTS IN HULUNBER GRASSLAND OF CHINA. Li, Gang,Xin, Xiaoping,Zhang, Hongbin,Li, Gang,Xin, Xiaoping,Zhang, Hongbin,Wang, Daolong,Zhang, Hua,Xin, Xiaoping,Zhang, Hongbin,Liu, Shimin. 2010

[10]A neural-network technique for retrieving land surface temperature from AMSR-E passive microwave data. Mao, Kebiao,Tang, Huajun,Mao, Kebiao,Shi, Jiancheng,Guo, Ying,Qiu, Yubao,Li, Liying,Mao, Kebiao. 2007

[11]Developing a photosynthetic sterility model to estimate CO2 fixation through the crop yield in Asia with the aid of MODIS data. Kaneko, Daijiro,Yeh, P. J. -F.,Kumakura, Toshiro,Yang, Peng. 2010

[12]Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. Ren, Jianqiang,Chen, Zhongxin,Zhou, Qingbo,Tang, Huajun,Ren, Jianqiang,Chen, Zhongxin,Zhou, Qingbo,Tang, Huajun. 2008

[13]Study on Spatial Scale Transformation Method of MODIS NDVI and NOAA NDVI in Inner Mongolia Grassland. Zhang, Hongbin,Yang, Guixia,Huang, Qing,Li, Gang,Chen, Baorui,Xin, Xiaoping,Zhang, Hongbin,Yang, Guixia,Li, Gang,Chen, Baorui,Xin, Xiaoping,Zhang, Hongbin,Yang, Guixia,Huang, Qing,Li, Gang,Chen, Baorui,Xin, Xiaoping. 2011

[14]EXTRACTING SPATIAL INFORMATION OF HARVEST INDEX FOR WINTER WHEAT BASED ON MODIS NDVI IN NORTH CHINA. Ren, Jianqiang,Chen, Zhongxin,Tang, Huajun,Ren, Jianqiang,Chen, Zhongxin,Tang, Huajun,Liu, Xingren. 2010

[15]THE POTENTIAL OF MODIS FOR DROUGHT MONITORING IN NORTHERN CHINA. Long Huiling,Huang Wenjiang,Yang Xiaodong,Dong Yansheng. 2012

[16]Estimation of subpixel temperature over a heterogeneous area using an endmember index based technique. Yang Guijun,Huang Wenjiang,Wang Jihua,Zhao Chunjiang. 2011

[17]Changes in vegetative coverage of the Hongze Lake national wetland nature reserve: a decade-long assessment using MODIS medium-resolution data. Yu, Kun,Yu, Kun,Hu, Chuanmin. 2013

[18]Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery. Dong, Jinwei,Xiao, Xiangming,Sheldon, Sage,Biradar, Chandrashekhar,Xie, Guishui.

[19]Estimation of Regional Leaf Area Index by Remote Sensing Inversion of PROSAIL Canopy Spectral Model. Li Shu-min,Li Hong,Zhou Lian-di,Sun Dan-feng. 2009

[20]Crop growth condition monitoring and analyzing in county scale by time series MODIS medium-resolution data. Yu, Kun,Wang, Zhiming,Sun, Ling,Shan, Jie,Mao, Liangjun. 2013

作者其他论文 更多>>

微信小程序