干旱区生态环境知识资源中心(Arid): Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis

Arid

DOI	10.1016/j.rse.2020.112108
	Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis
	Zhou, Jie; Jia, Li; Menenti, Massimo; van Hoek, Mattijn; Lu, Jing; Zheng, Chaolei; Wu, Hao; Yuan, Xiaotian
通讯作者	Zhou, J ; Jia, L (corresponding author), 20A Datun Rd, Beijing 100101, Peoples R China.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2021
卷号	252
英文摘要	Rainfall is a key driver of terrestrial vegetation. Clarifying the response mechanism of vegetation to rainfall can advance the understanding of expected changes in ecosystems under projected rainfall scenarios. Besides the rainfall amount over a period of time, the frequency, duration and intensity are of importance in driving ecosystem processes. The pulsating nature of rainfall forcing and of vegetation response applies particularly to arid and semi - arid regions and led to conceptualize the pulse-reserve paradigm, which we used to explain the approach we propose in this study. We introduce the Transfer Function Analysis (TFA) method in the frequency domain to capture the response of vegetation to rainfall at multiple temporal scales. The TFA method determines coherence, gain, and phase to characterize the existence, strength, and time-lag, respectively, of the vegetation response to rainfall at different temporal scales. Specifically, the coherence measures the existence of the response and only with a significant response are the gain and phase values significant and valuable for further analysis. The gain measures the strength of the relationship between fluctuations in vegetation growth and fluctuations in rainfall, while the phase value (i.e. the time-lag) measures how fluctuations in vegetation growth lag (or lead) fluctuations in rainfall. The TFA method was applied to the 34-years (1982-2015) NDVI3g and CHIRPS precipitation dataset in the Sahel-Sudano-Guinean region (20 degrees W similar to 60 degrees E, 0-25 degrees E). The Sahelian zone was characterized by a significant vegetation response to rainfall across all interand intraannual time-scales, while the Sudano-Guinean zone was dominated by significant response at annual or 6-month scales. The negative phase lag indicated that rainfall variation normally led NDVI change for most areas and across timescales. However, a positive phase observed in part of the tropical rainforest area indicated that NDVI changes led rainfall variations, which may be caused by the strong vegetation-rainfall feedback through recycling of precipitation by evapotranspiration. In summary, these results suggested that the TFA method is a powerful tool to quantify the vegetation-rainfall response regime across a range of timescales, as conceptualized by the pulse reserve paradigm. Unraveling the response of fluctuations in vegetation growth to separate components of the forcing by precipitation might improve our understanding of environmental change in the past decades in the Sahel - Sudan - Guinean region.
英文关键词	Vegetation-rainfall response Transfer function analysis Cross spectral Sahel Time-lag Remote sensing
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000595876700002
WOS关键词	DYNAMIC CEREBRAL AUTOREGULATION ; NDVI TIME-SERIES ; SOIL-MOISTURE ; AVHRR NDVI ; ENVIRONMENTAL-CHANGE ; COHERENCE FUNCTION ; CLIMATE FEEDBACKS ; FOURIER-ANALYSIS ; PULSE DYNAMICS ; USE-EFFICIENCY
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348144
作者单位	[Zhou, Jie; Wu, Hao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China; [Jia, Li; Menenti, Massimo; Lu, Jing; Zheng, Chaolei; Yuan, Xiaotian] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Zhou, Jie; Menenti, Massimo] Delft Univ Technol, Delft, Netherlands; [van Hoek, Mattijn] HKV Consultants, NL-8232 JN Lelystad, Netherlands; [Zhou, Jie; Wu, Hao] Cent China Normal Univ, Key Lab Geographcal Proc Anal & Simulat Hubei Pro, Wuhan 430079, Peoples R China; [Yuan, Xiaotian] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Jie,Jia, Li,Menenti, Massimo,et al. Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis[J],2021,252.
APA	Zhou, Jie.,Jia, Li.,Menenti, Massimo.,van Hoek, Mattijn.,Lu, Jing.,...&Yuan, Xiaotian.(2021).Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis.REMOTE SENSING OF ENVIRONMENT,252.
MLA	Zhou, Jie,et al."Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis".REMOTE SENSING OF ENVIRONMENT 252(2021).