中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China

文献类型:期刊论文

作者Liu, Yaojie4,5; You, Cuihai1,2; Zhang, Yongguang4,5; Chen, Shiping2; Zhang, Zhaoying4,5; Li, Ji4,5; Wu, Yunfei4,5
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2021
卷号308
关键词Grassland Extreme climatic events Water stress Resistance Resilience SIF
ISSN号0168-1923
DOI10.1016/j.agrformet.2021.108567
文献子类Article
英文摘要Currently, stability of grassland ecosystem is facing serious challenges due to the occurrence of global warming and the increased frequency and intensity of extreme droughts. The stability of grassland ecosystem has two distinct components: 'resistance' and 'resilience'. However, the evaluation of resistance and resilience mechanisms is hindered by the lack of tools for accurately monitoring the response of grasslands to drought across spatio-temporal scales. In this study, the resistance and resilience of grassland ecosystem are investigated by combining multi-source data, including space-borne solar-induced chlorophyll fluorescence (SIF), Gross Primary Productivity (GPP) estimated by flux towers, and MODIS visible near-infrared (VNIR) data. The characteristics of grassland ecosystem resistance and resilience to drought are obtained from the grasslands of Inner Mongolia, China, which suffered from a prolonged scarcity of rainfall in 2009. Space-borne SIF is found to be a beneficial tool for monitoring the seasonal dynamics of vegetation productivity compared to MODIS VNIR data. Space-borne SIF features a higher accuracy for monitoring the recovery time, resistance and resilience of grasslands to drought compared to MODIS VNIR data. Spatially, the resilience of Inner Mongolia grasslands to drought measured by SIF is greater than that measured by MODIS VNIR data, while the resistance of Inner Mongolia grasslands to drought measured by SIF is less than that measured by MODIS VNIR data. Moreover, areas with high resistance are located at the interlaced zone of grassland ecosystem and farmland or forest, where the resilience is low. These results demonstrate that space-borne SIF has great potential for monitoring the resistance and resilience of grasslands in response to drought over large regions.
学科主题Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
出版地AMSTERDAM
电子版国际标准刊号1873-2240
WOS关键词INDUCED CHLOROPHYLL FLUORESCENCE ; GROSS PRIMARY PRODUCTIVITY ; ECOSYSTEM PRODUCTIVITY ; SEMIARID ECOSYSTEMS ; VEGETATION ; RESPIRATION ; VARIABILITY ; PHOTOSYNTHESIS ; PRECIPITATION ; SENSITIVITY
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000692679900029
出版者ELSEVIER
资助机构National Key R&D Program of China [2019YFA0606601] ; General Program of NSFC [42071388]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26649]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Nantong Acad Intelligent Sensing, Nantong 226000, Jiangsu, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Technol, Nanjing 210023, Peoples R China
5.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yaojie,You, Cuihai,Zhang, Yongguang,et al. Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,308.
APA Liu, Yaojie.,You, Cuihai.,Zhang, Yongguang.,Chen, Shiping.,Zhang, Zhaoying.,...&Wu, Yunfei.(2021).Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China.AGRICULTURAL AND FOREST METEOROLOGY,308.
MLA Liu, Yaojie,et al."Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China".AGRICULTURAL AND FOREST METEOROLOGY 308(2021).

入库方式: OAI收割

来源:植物研究所

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