干旱区生态环境知识资源中心(Arid): Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem

Arid

DOI	10.1007/s40333-023-0020-9
	Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem
	Dengiz, Orhan; Turan, Inci Demirag
通讯作者	Dengiz, O
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2023
卷号	15 期号:7 页码:779-796
英文摘要	Since there are some signs of land degradation and desertification showing how soil sustainability is threatened, it is crucial to create a soil quality index (SQI) model in the semi-arid corum Basin, situated between the Black Sea and Anatolia Region, Central Turkey. The primary aims of the study are: (1) to determine SQI values of the micro-basin in terms of land degradation and desertification. Moreover, the best-worst method (BWM) was used to determine the weighting score for each parameter; (2) to produce the soils' spatial distribution by utilizing different geostatistical models and GIS (geographic information system) techniques; and (3) to validate the obtained SQI values with biomass reflectance values. Therefore, the relationship of RE-OSAVI (red-edge optimized soil-adjusted vegetation index) and NDVI (normalized difference vegetation index) generated from Sentinel-2A satellite images at different time series with soil quality was examined. Results showed that SQI values were high in the areas that had almost a flat and slight slope. Moreover, the areas with high clay content and thick soil depth did not have salinity problems, and were generally distributed in the middle parts of the basin. However, the areas with a high slope, poor vegetation, high sand content, and low water holding capacity had low SQI values. Furthermore, a statistically high positive correlation of RE-OSAVI and NDVI indices with soil quality was found, and NDVI had the highest correlative value for June (R-2=0.802) compared with RE-OSAVI.
英文关键词	soil quality land degradation desertification best-worst method remote sensing
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:001029148400002
WOS关键词	MINIMUM DATA SET ; LAND-USE ; VEGETATION INDEXES ; CHLOROPHYLL CONTENT ; DEGRADATION ; NDVI ; RED ; RESTORATION ; VARIABILITY ; FRAMEWORK
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397187
推荐引用方式 GB/T 7714	Dengiz, Orhan,Turan, Inci Demirag. Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem[J],2023,15(7):779-796.
APA	Dengiz, Orhan,&Turan, Inci Demirag.(2023).Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem.JOURNAL OF ARID LAND,15(7),779-796.
MLA	Dengiz, Orhan,et al."Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem".JOURNAL OF ARID LAND 15.7(2023):779-796.