Analyzing the impact of variations in land use and elevation on selected soil microbial indices and spatial distribution
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| Pubblicato in: | Environmental Monitoring and Assessment vol. 197, no. 1 (Jan 2025), p. 16 |
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Springer Nature B.V.
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| 100 | 1 | |a Karimzadeh, Zahra |u University of Mohaghegh Ardabili, Department of Soil Science, Faculty of Agriculture, Ardabil, Iran (GRID:grid.413026.2) (ISNI:0000 0004 1762 5445) | |
| 245 | 1 | |a Analyzing the impact of variations in land use and elevation on selected soil microbial indices and spatial distribution | |
| 260 | |b Springer Nature B.V. |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Soil biological characteristics are highly sensitive to land use changes, making them valuable indicators of soil quality. This study assesses the effects of three land use types (agriculture, rangeland, and forest) and elevation variations on soil microbial parameters and their spatial distribution in the Khaneghah region. Standard physicochemical and biological properties of the soil were measured on a total of 72 soil samples collected using systematic and random sampling techniques. Spatial distribution maps of the biological indices were generated using geostatistical techniques, specifically the Kriging method, within a geographic information system (GIS). The results revealed significantly higher values for microbial biomass carbon (MBC = 900 mg Cmic-CO2 kg−1), nitrogen (MBN = 8.97 mg Nmic kg−1), basal respiration (BR = 25.1 mg C-CO2 g−1 day−1), and the total microbial population (MPN = 0.63 × 109 cells g−1) in forest soils compared to rangeland and agricultural soils. The alignment between land use maps and biological index maps reinforced these findings. Although the correlations between biological indices and physicochemical properties were generally weak (positive or negative), organic matter content, field capacity moisture, and silt percentage exhibited a slight positive correlation with most of the microbial indices evaluated. The comparison of soil microbial indices with the digital elevation model map indicated higher levels of MBC, MBN, BR, and MPN at elevated regions. However, the microbial quotient and metabolic quotient (qCO₂) did not show significant changes with increasing elevation. The study also confirmed the effectiveness of Kriging interpolation in mapping specific soil microbial indices, as the correlation between Kriging estimates and measured values at sampling points exceeded 0.2, demonstrating statistical significance at a 5% confidence level. | |
| 653 | |a Rangelands | ||
| 653 | |a Geographical distribution | ||
| 653 | |a Biological properties | ||
| 653 | |a Agricultural land | ||
| 653 | |a Organic matter | ||
| 653 | |a Carbon dioxide | ||
| 653 | |a Geographic information systems | ||
| 653 | |a Physicochemical properties | ||
| 653 | |a Biological effects | ||
| 653 | |a Land use | ||
| 653 | |a Forest soils | ||
| 653 | |a Random sampling | ||
| 653 | |a Sampling techniques | ||
| 653 | |a Quotients | ||
| 653 | |a Soil | ||
| 653 | |a Microorganisms | ||
| 653 | |a Spatial distribution | ||
| 653 | |a Digital Elevation Models | ||
| 653 | |a Correlation | ||
| 653 | |a Interpolation | ||
| 653 | |a Statistical sampling | ||
| 653 | |a Physicochemical processes | ||
| 653 | |a Impact analysis | ||
| 653 | |a Kriging interpolation | ||
| 653 | |a Soil analysis | ||
| 653 | |a Field capacity | ||
| 653 | |a Geographical information systems | ||
| 653 | |a Soil properties | ||
| 653 | |a Elevation | ||
| 653 | |a Digital mapping | ||
| 653 | |a Information systems | ||
| 653 | |a Maps | ||
| 653 | |a Parameter sensitivity | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Sampling methods | ||
| 653 | |a Confidence intervals | ||
| 653 | |a Soil quality | ||
| 653 | |a Remote sensing | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Soltani Toularoud, Ali Ashraf |u University of Mohaghegh Ardabili, Department of Soil Science, Faculty of Agriculture, Ardabil, Iran (GRID:grid.413026.2) (ISNI:0000 0004 1762 5445) | |
| 700 | 1 | |a Arkhazloo, Hossein Shahab |u University of Mohaghegh Ardabili, Department of Soil Science, Faculty of Agriculture, Ardabil, Iran (GRID:grid.413026.2) (ISNI:0000 0004 1762 5445) | |
| 700 | 1 | |a Rouhi-Kelarlou, Tohid |u MOGHAN Agro-Industry and Livestock Company, Ardabil, Iran (GRID:grid.413026.2) | |
| 773 | 0 | |t Environmental Monitoring and Assessment |g vol. 197, no. 1 (Jan 2025), p. 16 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
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| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3140828841/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3140828841/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |