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Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China
Liu, Yaojie1,2; You, Cuihai3,4; Zhang, Yongguang1,2; Chen, Shiping3; Zhang, Zhaoying1,2; Li, Ji1,2; Wu, Yunfei1,2
2021
发表期刊AGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
卷号308
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.
关键词Grassland Extreme climatic events Water stress Resistance Resilience SIF
学科领域Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
DOI10.1016/j.agrformet.2021.108567
收录类别SCI
语种英语
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)
WOS记录号WOS:000692679900029
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN1873-2240
资助机构National Key R&D Program of China [2019YFA0606601] ; General Program of NSFC [42071388]
作者邮箱yongguang_zhang@nju.edu.cn
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符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.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
2.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Technol, Nanjing 210023, Peoples R China
3.Nantong Acad Intelligent Sensing, Nantong 226000, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, 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).
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