Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem

作     者：Orhan DENGİZ İnci DEMİRAĞTURAN Orhan DENG?Z;?nci DEM?RA? TURAN

作者机构：Department of Soil Science and Plant NutritionFaculty of AgricultureOndokuz Mayıs UniversitySamsun-55139Turkey Department of GeographyFaculty of EconomicAdministrative and Social SciencesSamsun UniversitySamsun-55030Turkey 

出 版 物：《Journal of Arid Land》 (干旱区科学（英文版）)

年 卷 期：2023年第15卷第7期

页      面：779-796页

核心收录：

学科分类：07[理学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

主　　题：soil quality land degradation desertification best-worst method remote sensing 

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 ?orum 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 ***, 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 ***, 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.