干旱区生态环境知识资源中心(Arid): A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: The case of the Israeli-Egyptian sandfield

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DOI	10.1016/j.scitotenv.2021.145154
	A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: The case of the Israeli-Egyptian sandfield
	Noy, Klil; Ohana-Levi, Noa; Panov, Natalya; Silver, Micha; Karnieli, Arnon
通讯作者	Karnieli, A (corresponding author), Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, French Associates Inst Agr & Biotechnol Drylands, Remote Sensing Lab, Sede Boker Campus, IL-84990 Sede Boqer, Israel.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2021
卷号	774
英文摘要	Spatiotemporal data can be analyzed using spatial, time-series, and machine learning algorithms to extract regional biocrust trends. Analyzing the spatial trends of biocrusts through time, using satellite imagery, may improve the quantification and understanding of their change drivers. The current work strives to develop a unique framework for analyzing spatiotemporal trends of the spectral Crust Index (CI), thus identifying the drivers of the biocrusts' spatial and temporal patterns. To fulfill this goal, CI maps, derived from 31 annual Landsat images, were analyzed by applying advanced statistical and machine learning algorithms. A comprehensive overview of biocrusts' spatiotemporal patterns was achieved using an integrative approach, including a long-term analysis, using the Mann-Kendall (MK) statistical test, and a short-term analysis, using a rolling MK with a window size of five years. Additionally, temporal clustering, using the partition around medoids (PAM) algorithm, was applied to model the spatial multi-annual dynamics of the CI. A Granger Causality test was then applied to quantify the relations between CI dynamics and precipitation. The findings show that 88.7% of pixels experienced a significant negative change, and only 0.5% experienced a significant positive change. A strong association was found in temporal trends among all clusters (0.67 <= r <= 0.8), signifying a regional effect due to precipitation levels (p < 0.05 for most clusters). The biocrust dynamics were also locally affected by anthropogenic factors (0.58 > CI > 0.64 and 0.64 > CI > 0.71 for strongly and weakly affected regions, respectively). A spatiotemporal analysis of a series of spaceborne images may improve conservation management by evaluating biocrust development in drylands. The suggested framework may also by applied to various disciplines related to quantifying spatial and temporal trends. (C) 2021 The Author(s). Published by Elsevier B.V.
英文关键词	Crust Index Time-series clustering Long-term trend Landsat Remote sensing
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000641162000012
WOS关键词	LAND-SURFACE TEMPERATURE ; BIOLOGICAL SOIL CRUSTS ; TIME-SERIES ANALYSIS ; SPECTRAL REFLECTANCE ; NEGEV DESERT ; RAINFALL GRADIENT ; COVER TRANSITIONS ; CLUSTERING METHOD ; VEGETATION-COVER ; INDEX
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
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/2XILL650/351650
作者单位	[Noy, Klil; Ohana-Levi, Noa; Panov, Natalya; Silver, Micha; Karnieli, Arnon] Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, French Associates Inst Agr & Biotechnol Drylands, Remote Sensing Lab, Sede Boker Campus, IL-84990 Sede Boqer, Israel
推荐引用方式 GB/T 7714	Noy, Klil,Ohana-Levi, Noa,Panov, Natalya,et al. A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: The case of the Israeli-Egyptian sandfield[J]. Ben-Gurion University of the Negev,2021,774.
APA	Noy, Klil,Ohana-Levi, Noa,Panov, Natalya,Silver, Micha,&Karnieli, Arnon.(2021).A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: The case of the Israeli-Egyptian sandfield.SCIENCE OF THE TOTAL ENVIRONMENT,774.
MLA	Noy, Klil,et al."A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: The case of the Israeli-Egyptian sandfield".SCIENCE OF THE TOTAL ENVIRONMENT 774(2021).