干旱区生态环境知识资源中心(Arid): Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability

Arid

DOI	10.3390/rs13071289
	Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability
	Zhang, Yuan; Feng, Xiaoming; Fu, Bojie; Chen, Yongzhe; Wang, Xiaofeng
通讯作者	Feng, XM (corresponding author), Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:7
英文摘要	Water stress is one of the primary environmental factors that limits terrestrial ecosystems' productivity. Hense, the way to quantify gobal vegetation productivity's vulnerability under water stress and reveal its seasonal dynamics in response to drought is of great significance in mitigating and adapting to global changes. Here, we estimated monthly gross primary productivity (GPP) first based on light-use efficiency (LUE) models for 1982-2015. GPP's response time to water availability can be determined by correlating the monthly GPP series with the multiple timescale Standardized Precipitation Evapotranspiration Index (SPEI). Thereafter, we developed an optimal bivariate probabilistic model to derive the vegetation productivity loss probabilities under different drought scenarios using the copula method. The results showed that LUE models have a good fit and estimate GPP well (R-2 exceeded 0.7). GPP is expected to decrease in 71.91% of the global land vegetation area because of increases in radiation and temperature and decreases in soil moisture during drought periods. Largely, we found that vegetation productivity and water availability are correlated positively globally. The vegetation productivity in arid and semiarid areas depends considerably upon water availability compared to that in humid and semi-humid areas. Weak drought resistance often characterizes the land cover types that water availability influences more. In addition, under the scenario of the same level of GPP damage with different drought degrees, as droughts increase in severity, GPP loss probabilities increase as well. Further, under the same drought severity with different levels of GPP damage, drought's effect on GPP loss probabilities weaken gradually as the GPP damage level increaes. Similar patterns were observed in different seasons. Our results showed that arid and semiarid areas have higher conditional probabilities of vegetation productivity losses under different drought scenarios.
英文关键词	LUE-GPP SPEI copula function conditional probability
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000638795600001
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; 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/2XILL650/368911
作者单位	[Zhang, Yuan; Feng, Xiaoming; Fu, Bojie; Chen, Yongzhe] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China; [Zhang, Yuan; Chen, Yongzhe] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Wang, Xiaofeng] Changan Univ, Sch Land Engn, Xian 710054, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yuan,Feng, Xiaoming,Fu, Bojie,et al. Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability[J],2021,13(7).
APA	Zhang, Yuan,Feng, Xiaoming,Fu, Bojie,Chen, Yongzhe,&Wang, Xiaofeng.(2021).Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability.REMOTE SENSING,13(7).
MLA	Zhang, Yuan,et al."Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability".REMOTE SENSING 13.7(2021).