{"title":"Establishing and verifying soil quality index model based on GIS and remote sensing for cultivated lands under semi-humid terrestrial ecosystem","authors":"Ismail Fatih Ormanci , Orhan Dengiz","doi":"10.1016/j.iswcr.2024.10.004","DOIUrl":null,"url":null,"abstract":"<div><div>Sustainable and efficient use of agricultural land depends on the potential characteristics of the soil. This potential directly affects the phenological growth and development of the crop to be grown. For these reasons, soil quality studies are of great importance in determining the products to be grown and the sustainability of the agriculture to be carried out. In this study, carried out in the Engiz Basin, a semi-humid terrestrial ecosystem of the Black Sea region, 250 soil samples were sampled from agricultural areas throughout the basin and a total of 26 soil physical, chemical and biological criteria were measured. Using Geographic Information Systems, Remote Sensing, Fuzzy-Analytical Hierarchy Process and Standard Scoring Function, soil quality models were constructed according to the obtained soil criteria. In addition, principal component analysis was used to select a minimum data set of the most sensitive indicators. The main physical criterion has the highest weight value with 0.611. The weight values for the highest sub-criteria of each main criterion - physical, chemical, biological, and fertility - were determined as slope (0.226), organic matter (0.425), microbial biomass carbon (0.512), and nitrogen (0.245), respectively. Geostatistical models were also used to produce maps of the spatial distribution of soil quality index values for the study area. Moreover, satellite image analysis and field studies (such as; data was collected from a face-to-face survey conducted with 51 farmers) were carried out to verify the obtained SQI distribution maps. The highest r<sup>2</sup> values of 0.9004 were found between the SQI<sub>TDS-L</sub> model and NDVI biomass reflectance values. Furthermore, when analyzing the statistical relationship between soil quality classes and yield and economic values obtained from the field, the high r<sup>2</sup> value (0.8209) was determined.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"13 2","pages":"Pages 379-394"},"PeriodicalIF":7.3000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Soil and Water Conservation Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209563392400073X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Sustainable and efficient use of agricultural land depends on the potential characteristics of the soil. This potential directly affects the phenological growth and development of the crop to be grown. For these reasons, soil quality studies are of great importance in determining the products to be grown and the sustainability of the agriculture to be carried out. In this study, carried out in the Engiz Basin, a semi-humid terrestrial ecosystem of the Black Sea region, 250 soil samples were sampled from agricultural areas throughout the basin and a total of 26 soil physical, chemical and biological criteria were measured. Using Geographic Information Systems, Remote Sensing, Fuzzy-Analytical Hierarchy Process and Standard Scoring Function, soil quality models were constructed according to the obtained soil criteria. In addition, principal component analysis was used to select a minimum data set of the most sensitive indicators. The main physical criterion has the highest weight value with 0.611. The weight values for the highest sub-criteria of each main criterion - physical, chemical, biological, and fertility - were determined as slope (0.226), organic matter (0.425), microbial biomass carbon (0.512), and nitrogen (0.245), respectively. Geostatistical models were also used to produce maps of the spatial distribution of soil quality index values for the study area. Moreover, satellite image analysis and field studies (such as; data was collected from a face-to-face survey conducted with 51 farmers) were carried out to verify the obtained SQI distribution maps. The highest r2 values of 0.9004 were found between the SQITDS-L model and NDVI biomass reflectance values. Furthermore, when analyzing the statistical relationship between soil quality classes and yield and economic values obtained from the field, the high r2 value (0.8209) was determined.
期刊介绍:
The International Soil and Water Conservation Research (ISWCR), the official journal of World Association of Soil and Water Conservation (WASWAC) http://www.waswac.org, is a multidisciplinary journal of soil and water conservation research, practice, policy, and perspectives. It aims to disseminate new knowledge and promote the practice of soil and water conservation.
The scope of International Soil and Water Conservation Research includes research, strategies, and technologies for prediction, prevention, and protection of soil and water resources. It deals with identification, characterization, and modeling; dynamic monitoring and evaluation; assessment and management of conservation practice and creation and implementation of quality standards.
Examples of appropriate topical areas include (but are not limited to):
• Conservation models, tools, and technologies
• Conservation agricultural
• Soil health resources, indicators, assessment, and management
• Land degradation
• Sustainable development
• Soil erosion and its control
• Soil erosion processes
• Water resources assessment and management
• Watershed management
• Soil erosion models
• Literature review on topics related soil and water conservation research