{"title":"A novel and comprehensive soil quality index integrating soil morphological, physical, chemical, and biological properties","authors":"Duraisamy Vasu, Pramod Tiwary, Padikkal Chandran","doi":"10.1016/j.still.2024.106246","DOIUrl":null,"url":null,"abstract":"<div><p>The increased focus on soil quality (SQ) aims to conserve land resources and arrest land degradation. However, there are several unknowns regarding which indicators can most effectively indicate specific SQ outcomes and ecosystem functioning. For the first time, this study aims to integrate the soil morphological properties and earthworm population with physical and chemical properties and propose a comprehensive soil quality index (SQI<sub>w</sub>) to evaluate SQ across a land-use – soil type – climate gradient. Soil profile data (n = 47) covering semi-arid, sub-humid, and humid climates, three soil types (Inceptisols, Vertisols, and Alfisols) and three major land-use systems (grassland, plantation, and annual field crops) were used in this study. As a novel approach, we used a combination of expert opinion and principal component analysis to select 12 soil quality indicators (five morphological, two physical, three chemical, and two biological properties) and developed four thematic SQ indices, viz., morphological quality index (SQI<sub>m</sub>), physical quality index (SQI<sub>p</sub>), chemical quality index (SQI<sub>c</sub>), and biological quality index (SQI<sub>b</sub>) from the respective SQ indicators using the weighted additive index method. The thematic SQ indices were integrated to create SQI<sub>w</sub> for surface and subsurface soils. The SQI<sub>m</sub> showed a strong relationship with SQI<sub>p</sub> and SQI<sub>c</sub> and a moderate relationship with SQI<sub>b</sub>, indicating that the thematic SQ indices can be employed to evaluate soil quality in resource-limited regions or countries. The SQI<sub>w</sub> differentiated the effects of climate, soil type, and land use management on soil quality and showed a strong correlation with crop yield, enabling the comparison of production systems. The integration of the earthworm population to SQI<sub>w</sub> is a crucial advancement in SQ assessment, and the SQI<sub>m</sub> adds a new dimension. The proposed SQI<sub>w</sub> could be a potential precursor for emerging consensus towards a generalised and comprehensive SQI, which can be effectively used for SQ monitoring across varied land use, soil types, and climate regions.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106246"},"PeriodicalIF":6.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil & Tillage Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167198724002472","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The increased focus on soil quality (SQ) aims to conserve land resources and arrest land degradation. However, there are several unknowns regarding which indicators can most effectively indicate specific SQ outcomes and ecosystem functioning. For the first time, this study aims to integrate the soil morphological properties and earthworm population with physical and chemical properties and propose a comprehensive soil quality index (SQIw) to evaluate SQ across a land-use – soil type – climate gradient. Soil profile data (n = 47) covering semi-arid, sub-humid, and humid climates, three soil types (Inceptisols, Vertisols, and Alfisols) and three major land-use systems (grassland, plantation, and annual field crops) were used in this study. As a novel approach, we used a combination of expert opinion and principal component analysis to select 12 soil quality indicators (five morphological, two physical, three chemical, and two biological properties) and developed four thematic SQ indices, viz., morphological quality index (SQIm), physical quality index (SQIp), chemical quality index (SQIc), and biological quality index (SQIb) from the respective SQ indicators using the weighted additive index method. The thematic SQ indices were integrated to create SQIw for surface and subsurface soils. The SQIm showed a strong relationship with SQIp and SQIc and a moderate relationship with SQIb, indicating that the thematic SQ indices can be employed to evaluate soil quality in resource-limited regions or countries. The SQIw differentiated the effects of climate, soil type, and land use management on soil quality and showed a strong correlation with crop yield, enabling the comparison of production systems. The integration of the earthworm population to SQIw is a crucial advancement in SQ assessment, and the SQIm adds a new dimension. The proposed SQIw could be a potential precursor for emerging consensus towards a generalised and comprehensive SQI, which can be effectively used for SQ monitoring across varied land use, soil types, and climate regions.
期刊介绍:
Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research:
The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.