نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه علوم خاک، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران.
2 گروه علوم خاک، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران
3 گروه علوم خاک، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران، البرز، ایران.
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Researchers consistently seek methods that minimize data requirements and decrease soil quality assessment costs. Soil pores are recognized as indicators of soil physical quality due to their environmental sensitivity. This study identified key parameters related to soil pores and physico-chemical properties to assess their potential as indicators of soil physical quality. Conducted between 2020 and 2022 at the University of Tehran's Soil Sciences Department Micromorphology Laboratory, the study used image analysis to determine the parameters related to pores resulting from 126 experimental units, including ammendments, removals and disruptive experimental treatments and affected by 22 cycles of wetting and drying which were determined in two types of soils, sandy loam and silty clay. Parameters included sphericity, elongation, area, and compactness. The first two principal components (PC1 and PC2) represent more than 70% of the variations in the studied soils. Parameters like sphericity (81% and 80% correlation with PC1 and PC2) and elongation (77% and 83% correlation with PC1 and PC2) in loamy sand, and elongation (53% and 87% correlation with PC1 and PC2) and pore area (48% and 68% correlation with PC1 and PC2) in silty clay loam were identified as quality indicators. Comparing soil quality based on pores in different treatments with control showed 32% and 18% differences in loamy sand and silty clay loam, respectively, demonstrating indicator efficacy in reflecting soil quality changes. The microscopic features of pores that possess fractal properties were successfully utilized in this study for assessing soil quality. Based on this method, it is possible to employ this approach for determining soil quality on a field scale.
کلیدواژه‌ها [English]
Application of Microscopic Features of Soil Pores in the Assessment of Soil Physical Quality
Extended Abstract
In the pursuit of efficient soil quality assessment methods, researchers continuously seek strategies that minimize data requirements and reduce associated costs. Among the multitude of indicators contributing to a comprehensive understanding of soil health, soil pores stand out due to their intricate relationship with environmental conditions.
This study aimed to conduct a comprehensive exploration of a wide range of parameters associated with soil pores, alongside specific physical and chemical properties. The overarching goal was to establish a minimal yet effective dataset necessary for rigorous analysis, while simultaneously evaluating the potential of these identified parameters as robust indicators of soil's physical quality.
This study was conducted based on concepts introduced for determination of soil quality and image analysis used for collected some soil porosity properties. Orange. 3 software used for apply PCA procedure. The research was carried out between 2020 and 2022 at the Micromorphology Laboratory of the Soil Sciences Department at the University of Tehran. Advanced image analysis techniques were employed to delve into the intricate world of soil pores. The study focused on assessing parameters related to pores resulting from experimental treatments and affected by 22 cycles of wetting and drying were determined in two types of soils, sandy loam and silty clay. Parameters under investigation included sphericity, elongation, area, and compactness of pores.
The investigation yielded insightful outcomes that shed light on the potential of pore-related parameters as effective indicators of soil quality. The first two principal components (PC1 and PC2) represent more than 70% of the variations in the studied soils. Furthermore, due to the strong correlations observed, parameters such as porosity (with 81% and 80% correlation to PC1 and PC2) and pore connectivity (with 77% and 83% correlation to PC1 and PC2) were identified as quality indicators for loamy sand soils, while parameters like cohesion (with 53% and 87% correlation to PC1 and PC2) and pore area (with 48% and 68% correlation to PC1 and PC2) were identified as quality indicators for silty clay soils. Furthermore, the study compared soil quality assessments based on the identified pore-related indicators across different treatments with a control group. The results highlighted significant variations of 32% and 18% for loamy sand and silty clay loam soils, respectively. These discrepancies underscored the sensitivity of the identified parameters to shifts in soil quality and their potential as effective indicators.
By harnessing the power of advanced image analysis techniques, this research has effectively expanded our understanding of soil pores and their potential as indicators of soil's physical quality. The findings provide valuable insights for streamlining soil quality assessment practices, making them more cost-effective and efficient. As sustainable land management gains increasing importance, these identified indicators hold promise for monitoring and enhancing soil health. Given the ability to express soil changes, the microscopic features of pores were successfully employed in this study for soil quality determination. Moreover, due to the fractal nature of these pores, this method can also be used for soil quality assessment on a larger scale.
)