干旱区生态环境知识资源中心(Arid): Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region

Arid

DOI	10.1080/15481603.2018.1519093
	Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region
	Ohana-Levi, Noa 1,5; Paz-Kagan, Tarin 2; Panov, Natalya 1; Peeters, Aviva 3; Tsoar, Asaf 4; Karnieli, Arnon 1
通讯作者	Karnieli, Arnon
来源期刊	GISCIENCE & REMOTE SENSING
ISSN	1548-1603
EISSN	1943-7226
出版年	2019
卷号	56 期号:3 页码:362-387
英文摘要	Land-use changes as a result of residential development often lead to degradation and alter vegetation cover (VC). Although these are worldwide phenomena, sufficient knowledge about anthropogenic effects caused by various populated areas in dryland ecosystems is lacking. This study explored anthropogenic development in rural areas and its effects on the conservation of protected areas in drylands, focusing on the change in VC, the reasons, extent, and the drivers of change. We propose a novel framework for exploring VC change (VCC) as a function of environmental and human-driven factors including different types of populated areas in drylands. As a case study, we used a 30-year time series of Landsat satellite images over the arid region of Israel to analyze spatiotemporal VCC. The temporal analysis involved the Contextual Mann-Kendall significance test and spatial analysis to model clustering of VCC. A Gradient Boosted Regression machine learning algorithm was applied to study the relative influence of environmental and human-driven factors on VCC. In addition, we used ANOVA to examine differences between the effects of three types of populated areas on the spatiotemporal trends of VC. The results show that the most influential environmental variable on VCC was elevation (relative contribution of 17%), followed by slope (14.8%) and distance from populated areas (14.6%). Moreover, different types of populated areas affected VC differently with varying distances from residential centroids. The nature reserves increased VC positively and significantly, while livestock settlements had a negative effect. Change in vegetation was mostly confined to the stream network and occurred in lower elevations. The study demonstrates how different land-use practices alter the landscape in terms of VC and differ in their extents, patterns, and effects. With the expected growth in population and residential development worldwide, the proposed framework may assist conservation managements and policy makers in minimizing environmental degradation in drylands.
英文关键词	drylands protected area grazing agricultural settlements remote sensing spatial analysis
类型	Article
语种	英语
国家	Israel
开放获取类型	Bronze
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000457866600003
WOS关键词	LAND-USE ; DESERTIFICATION PROCESSES ; PROTECTED AREAS ; NEGEV DESERT ; SOIL ; DROUGHT ; BIODIVERSITY ; RANGELAND ; POPULATION ; ECOSYSTEM
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
来源机构	Ben-Gurion University of the Negev
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216055
作者单位	1.Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Remote Sensing Lab, IL-84990 Sede Boqer, Israel; 2.ARO, Volcani Ctr, Inst Agr Engn, Dept Sensing Informat & Mech Engn, Rishon Leziyyon, Israel; 3.TerraVis Lab, IL-84990 Sede Boqer, Israel; 4.Israel Nat & Parks Author, Omer, Israel; 5.Agr Res Org, Gilat Res Ctr, Inst Soil Water & Environm Sci, IL-85280 Rishon Leziyyon, Israel
推荐引用方式 GB/T 7714	Ohana-Levi, Noa,Paz-Kagan, Tarin,Panov, Natalya,et al. Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region[J]. Ben-Gurion University of the Negev,2019,56(3):362-387.
APA	Ohana-Levi, Noa,Paz-Kagan, Tarin,Panov, Natalya,Peeters, Aviva,Tsoar, Asaf,&Karnieli, Arnon.(2019).Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region.GISCIENCE & REMOTE SENSING,56(3),362-387.
MLA	Ohana-Levi, Noa,et al."Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region".GISCIENCE & REMOTE SENSING 56.3(2019):362-387.