Knowledge Management System Of Institute Of Botany,CAS
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 |
ISSN | 0168-1923 |
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 |
DOI | 10.1016/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 |
EISSN | 1873-2240 |
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 | |
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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