Global Patterns of Vegetation Response to Short-Term Surface Water Availability

被引:5
|
作者
He, Qing [1 ,2 ]
Lu, Hui [1 ,2 ,3 ]
Yang, Kun [1 ,2 ]
Zhen, Ling [4 ]
Yue, Siyu [1 ,2 ]
Li, Yishan [1 ,2 ]
Entekhabi, Dara [5 ]
机构
[1] Tsinghua Univ, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[3] Minist Educ Ecol Field Stn East Asian Migratory B, Beijing 100084, Peoples R China
[4] China Agr Univ, Coll Sci, Dept Appl Math, Beijing 100083, Peoples R China
[5] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
关键词
Remote sensing; soil measurements; vegetation; SOIL-MOISTURE MEMORY; ATMOSPHERE COUPLING EXPERIMENT; CLIMATE-CHANGE; OPTICAL DEPTH; MODEL; PRECIPITATION; SIMULATIONS; FEEDBACKS; DYNAMICS; DROUGHT;
D O I
10.1109/JSTARS.2021.3103854
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Terrestrial vegetation response to surface water availability is important for land-atmosphere interactions. However, the current understanding of how the vegetation responds to surface water remains limited since the physical processes happening within the biosphere and hydrosphere are highly coupled. It is even more difficult to measure such interactions for the processes related to surface soil moisture (SSM)-the central variable that interacts the most intimately with vegetation-since the observations of SSM are often scarce and uneven. Here, we use the satellite observations of vegetation optical depth (VOD) and SSM to map the response time scales of vegetation to surface water anomalies. We use the stability theory to derive vegetation memory time (t ReS) to reveal the global pattern of vegetation memory to surface water anomalies. That is, the time vegetation takes to return back to its equilibrium when an anomaly dissipates to a certain level (e.g., the e-folding level). We also estimate the plant reactive time (tReA)-the time when impacts of surface anomaly reach its peak to evaluate the overall resilience of terrestrial vegetation to surface water anomalies. The results show that tReS tends to be longer in herbaceous biomes, whereas tReA is longer in biomes with tree cover. Such anticorrelation of tReS and tReA indicates that the herbaceous biomes may be more vulnerable to surface water perturbations during climate extremes. Ourstudy provides a global quantification on vegetation-soil moisture feedbacks-enabling comparison with earth system models.
引用
收藏
页码:8273 / 8286
页数:14
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