干旱区生态环境知识资源中心(Arid): An Improved Conceptual Model Quantifying the Effect of Climate Change and Anthropogenic Activities on Vegetation Change in Arid Regions

Arid

DOI	10.3390/rs11182110
	An Improved Conceptual Model Quantifying the Effect of Climate Change and Anthropogenic Activities on Vegetation Change in Arid Regions
	Yu, Xin 1,2; Yang, Hanbo 1,2; Li, Sien 3; Yang, Dawen 1
通讯作者	Yang, Hanbo
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:18
英文摘要	Vegetation shows a greening trend on the global scale in the past decades, which has an important effect on the hydrological cycle, and thus quantitative interpretation of the causes for vegetation change is of great benefit to understanding changes in ecology, climate, and hydrology. Although the Donohue13 model, a simple conceptual model based on gas exchange theory, provides an effective tool to interpret the greening trend, it cannot be used to evaluate the impact from land use and land cover change (LULCC) on the regional scale, whose importance to vegetation change has been demonstrated in a large number of studies. Hence, we have improved the Donohue13 model by taking into account the change in vegetation cover ratio due to LULCC, and applied this model to the Yarkand Oasis in the arid region of northwest China. The estimated change trend in leaf area index (LAI) is 1.20%/year from 2001 to 2017, which accounts for approximately half of the observed (2.31%/year) by the moderate resolution imaging spectroradiometer (MODIS). Regarding the causes for vegetation greening, the contributions of: (1) LULCC; (2) atmospheric CO2 concentration; and (3) vapor pressure deficit were: (1) 88.3%; (2) 40.0%; and (3) -28.3%, respectively, which reveals that the largest contribution was from LULCC, which is probably driven by increased total water availability in whole oasis with a constant transpiration in vegetation area. The improved Donohue13 model, a simple but physics-based model, can partially explain the impact of factors related to climate change and anthropogenic activity on vegetation change in arid regions. It can be further combined with the Budyko hypothesis to establish a framework for quantifying the changes in coupled response of vegetation and hydrological processes to environment changes.
英文关键词	vegetation change attribution analysis arid region Yarkand Oasis land use and land cover change (LULCC) water availability
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000489101500040
WOS关键词	INDUCED LAND DEGRADATION ; WATER-USE EFFICIENCY ; RIVER-BASIN ; NORTH-AMERICA ; ELEVATED CO2 ; GREENING TREND ; CHANGE IMPACTS ; TARIM RIVER ; GROWTH ; COVER
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
来源机构	中国农业大学 ; 清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218414
作者单位	1.Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China; 2.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China; 3.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Yu, Xin,Yang, Hanbo,Li, Sien,et al. An Improved Conceptual Model Quantifying the Effect of Climate Change and Anthropogenic Activities on Vegetation Change in Arid Regions[J]. 中国农业大学, 清华大学,2019,11(18).
APA	Yu, Xin,Yang, Hanbo,Li, Sien,&Yang, Dawen.(2019).An Improved Conceptual Model Quantifying the Effect of Climate Change and Anthropogenic Activities on Vegetation Change in Arid Regions.REMOTE SENSING,11(18).
MLA	Yu, Xin,et al."An Improved Conceptual Model Quantifying the Effect of Climate Change and Anthropogenic Activities on Vegetation Change in Arid Regions".REMOTE SENSING 11.18(2019).