Assessment of post-wildfire soil quality and its recovery in semi-arid upland rangelands in Central Iran through selecting the minimum data set and quantitative soil quality index

CATENA ◽  
2021 ◽  
Vol 201 ◽  
pp. 105202
Author(s):  
Fayez Raiesi ◽  
Masoomeh Pejman
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Central Iran ◽  
Minimum Data Set ◽  
Soil Quality Index ◽  
Data Set ◽  
Minimum Data ◽  
Semi Arid

scholarly journals Soil quality index as affected by temporal long term tea cultivation in Jorhat District of Assam

2020 ◽  
Vol 41 (6) ◽  
pp. 1685-1695
Author(s):  
N. Baruah ◽  
◽  
B.K. Medhi ◽  
Sanjay Swami ◽  
R.K. Thakuria ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Age Groups ◽  
Minimum Data Set ◽  
Soil Quality Index ◽  
Available Nitrogen ◽  
Systems Methodology ◽  
Data Set ◽  
Minimum Data ◽  
Tea Plantations

Aim: The investigation was undertaken to identify the Minimum Data Set (MDS) for Soil Quality Index (SQI) assessment in continuouslong-term tea cultivation systems. Methodology: In the study under very deep, fine loamy, well-drained soil, five age groups of tea plantations viz. less than 15 years, 15-30 years, 30-45 years, 45-60 years and more than 60 years were selected and identified minimum data set and soil quality index. Results: In very deep, fine loamy, well-drained soil under continuous tea cultivation, SQI, 14.74 was obtained for less than 15 years, 14.06 for 15-30 years, 11.12 for 30-45 years, 12.94 for 45-60 years and 11.37 for more than 60 years of plantation, respectively. Interpretation: The most sensitive soil quality indicators identified in very deep, fine loamy, well-drained soil were pH for less than 15 years, total nitrogen for 15-30 years, available nitrogen for 30-45 years, organic carbon for 45-60 years and exchangeable aluminium for more than 60 years of continuous tea cultivation.

scholarly journals Spatio-temporal Soil Quality Assessment under Crop Rotation Irrigated with Treated Urban Wastewater using Fuzzy Modelling

2014 ◽  
Vol 28 (3) ◽  
pp. 291-302 ◽  
Author(s):  
Marjan Ghaemi ◽  
Ali R. Astaraei ◽  
Mehdi Nassiri Mahalati ◽  
Hojat Emami ◽  
Hossein H. Sanaeinejad
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Biological Significance ◽  
Minimum Data Set ◽  
Spatial And Temporal Variability ◽  
Urban Wastewater ◽  
Soil Quality Index ◽  
Data Set ◽  
Minimum Data ◽  
Total Data

Abstract Quantifying soil quality is important for assessing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the possibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 properties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R2= 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R2= 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.

scholarly journals SOIL QUALITY INDEX ANALYSIS IN EFFORTS TO OVERCOME LAND DEGRADATION IN NGANJUK REGENCY

2020 ◽  
Vol 15 (2) ◽  
pp. 96-106
Author(s):  
Dyah Nursita
Keyword(s):  
Soil Quality ◽  
Land Degradation ◽  
Quality Index ◽  
Quality Criteria ◽  
Biological Indicators ◽  
Minimum Data Set ◽  
Rooting Depth ◽  
Soil Quality Index ◽  
Data Set ◽  
Minimum Data

Abstract Soil quality is ability of soil to preserve the productivity of pants, preserve maintain water supplies, and support human activities. Soil quality assessment results can be used as a recommendation in addressing land degradation. The soil quality cannot be directly measured therefore physical, chemical and biological indicators collectively are determined which influence the soil quality called minimum data set (MDS). A study and experimental analysis was conducted in August - November, 2019. The descriptive study was done in some land units in Nganjuk Regency by measuring its soil index quality using Mausbach and Seybold (1998) criteria which has been modified by Partoyo (2005). The soil quality index was analyzed using function that represented most of the soil. The soil samples were taken by purposive sampling and the texture, volume weight, porosity, C-organic, pH, P-available, K-exchangeable, N-total and rooting depth were analyzed in laboratories. Soil quality index values ranged between 0-1. The higher index value indicates better quality. The analysis result of selected soil functions (MDS) and MDS scores were than summed to determine the value of the soil quality index (SQI). The study concludes that several land units in Ngluyu, Wilangan, and Tanjunganom Districts that had low soil quality (IKT = 0.2399 - 0.3869). Meanwhile, the land units in Bagor District have very good soil quality criteria (IKT = 0.8671). Keywords: soil quality index, land degradation, minimum data set, nganjuk.

scholarly journals The Assessment of Soil Quality Index for Paddy Fields with Indicator Biology in Jatipurno Districts, Wonogirl

2019 ◽  
Vol 14 (1) ◽  
pp. 20
Author(s):  
Supriyadi Supriyadi ◽  
Widyatmani Sih Dewi ◽  
Desmiasari Nugrahani ◽  
Adila Azza Rahmah ◽  
Haryuni Haryuni ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Management Practices ◽  
Principal Component ◽  
Biological Indicators ◽  
Paddy Fields ◽  
Soil Quality Index ◽  
Data Set ◽  
Organic Rice ◽  
Minimum Data

Increased rice needs in an extensive use of paddy fields in the Jatipurno, Wonogiri. Managing rice fields can reduce soil quality. Proper management can improve soil quality, Jatipurno has management such as organic, semi-organic and inorganic paddy field management which have a real effect on soil quality. Assessment of soil quality is measured by physical, chemical and biological indicators, where each factor has a different effect. The chemical indicators are often used as the main indicators for determining soil quality, whereas every parameter has the opportunity to be the main indicator. So, biological indicators can play indicators. The main indicators are obtained from the correlation test (p-values ≤ 0,05 - < 0,01) and Principal Component Analysis with high value, eigenvalues > 1 have the potential to be used as Minimum Data Sets. The result is biological can be able to use as the Minimum Data Set such as microbial carbon biomass, respiration, and total bacterial colonies. The Soil Quality Index (SQI) of various paddy management practices shows very low to low soil quality values. The management of organic rice systems shows better Soil Quality Index with a score of 0,20 compared to other management. The practice of organic rice management shows that it can improve soil quality.

scholarly journals Physical Soil Quality of Semi - Arid Savanna as Influenced by Acacia senegalensis in Desert Research Experimental Plot Yobe State University Damaturu, Northern Nigeria

2021 ◽  
pp. 7-17
Author(s):  
Hamza Haruna ◽  
Galal H.G. Hussein ◽  
Mohammed B
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Bulk Density ◽  
Soil Quality ◽  
Minimum Data Set ◽  
Organic Carbon Content ◽  
Data Set ◽  
Minimum Data ◽  
Lower Bulk Density ◽  
Semi Arid

Soil is a living and dynamic natural reservoir and source of plant nutrients that play numerous key roles in terrestrial ecosystems. This study investigated the impact of three adjacent land use systems (Acacia senegalensis plantation (ACP), pilostigma raticulatum plantation (PRP) and Ground nut field (GNF) on selected soil physical quality indicators in a Northern Nigeria semi- arid Savanna. Minimum data set for assessing soil quality (Prime quality agricultural land) in this study include bulk density, organic carbon content, total nitrogen, carbon stock, available phosphorus and pH values obtained from DRMCC research field. Mean values of the data set were arranged and scored to obtain totals among the minimum data set (MDS). Soil quality is considered a key element for evaluating the sustainability of land management practices. Data generated were analyzed using ANOVA and significant means were determined using Duncan multiple range test (DMRT). ACP had significantly higher organic carbon content (9.37 gkg-1) and lower bulk density (2.16 gkg-1) than pilostigma and GNF respectively. The lower bulk density (ρb) and high organic carbon in ACP might be due to high leaf shading by acacia while the lower bulk density in ground nut field aided by trampling induced compaction resulted in its high relative field capacity (RFC), permanent wilting point (PWP) and micro-p ore spaces (PMIC) tillage in ground nut field created loose soil in the plough layer (<20 cm) which turn out to its low bulk density (ρb). Acacia plantation contained highest total nitrogen value (1.23 gkg-1); perhaps resulting Acacia leaf litter is known to have a high decomposition rate. Pilostigma plantation contained (1.22 gkg-1) nitrogen, while the least nitrogen content was obtained under ground nut field. On scoring the land use types and depth against the minimum data set, the least total was that under acacia plantation, followed by pilostigma plantation then ground nut field. Therefore, soils under acacia plantation were ranked best quality (SQ1) for cultivation purposes at 0-10 cm, followed by pilostigma land use type that were ranked SQ2. Ground nut field soils were ranked least (SQ6) in quality for use in crop production at depth of 10-20 cm.

scholarly journals Establishment of the minimum data set for cultivated-layer quality assessment and its verification: A case study of sloping farmland in a purple hilly area, China

2021 ◽  
Author(s):  
Jianle Zhang ◽  
Dongmei Shi ◽  
Hong Li ◽  
Na Jiang ◽  
Rui Xia ◽  
...  
Keyword(s):  
Shear Strength ◽  
Soil Quality ◽  
Quality Index ◽  
Minimum Data Set ◽  
Land Resource ◽  
Data Set ◽  
Small Watersheds ◽  
Minimum Data ◽  
Sloping Farmland

Sloping farmland is an important cultivated land resource and erosion source. Cultivated-layer quality directly affects the soil productivity and erosion resistance of sloping farmland. We aim to select the most effective soil property index to construct a minimum data set (MDS) and use two methods (the weighted additive cultivated-layer quality index (CLQIW) and Nemoro cultivated-layer quality index (CLQIN)) to accurately evaluate the cultivated-layer quality of sloping farmland in purple hilly areas. The total data set (TDS) of 12 soil indexes was screened by principal component analysis (PCA) and correlation analysis, and a MDS was constructed to assess the CLQIW and CLQIN. The results showed that (1) the cultivated-layer soil quality of the MDS comprises cultivated-layer thickness, soil bulk density, saturated hydraulic conductivity, sand, clay, shear strength and soil organic matter. The MDS can accurately reflect the effective soil information (RW2=0.7524, RN2=0.8059) and can replace the TDS in cultivated-layer evaluation. (2) CLQIN-MDS has a higher Ef and lower ER than CLQIW-MDS does, so CLQIN-MDS is better for evaluating the cultivated-layer quality of purple soil of sloping farmland. (3) For the two evaluation methods, the quality classifications of the two small watersheds have similar trends, with most plots in grades II~III (approximately 90%). (4) The main obstacles of the two small watersheds are poor nutrients and low soil shear strength, which can be reasonably controlled by subsoiling combined with biochar. These results can facilitate the construction of reasonable cultivated-layers and improvements in the cultivated-layer soil quality of sloping farmland.

scholarly journals Evaluasi Kualitas Tanah Sawah Intensif dan Sawah yang Dikonversikan untuk Kebun di Subak Kesiut Kerambitan Tabanan

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
I DEWA MADE ARTHAGAMA ◽  
I MADE DANA
Keyword(s):  
Soil Quality ◽  
Paddy Soil ◽  
Field Survey ◽  
Research Area ◽  
Paddy Soils ◽  
Minimum Data Set ◽  
Data Set ◽  
Minimum Data ◽  
Better Than

 Evaluation Quality of Intensif Paddy Soils and Conversion Paddy Soils to Garden at Subak Kesiut Kerambitan Tabanan. This experiment conducted to evaluate intensif Paddy Soils and conversion paddy soils to garden at SubakKesiut Kerambitan Tabanan. There were two steps applied in this study including field survey to determine the research area and points soils sampling; analysis soils properties are: physic, chemistry and soils biology for get minimum data set to determine the soil quality at Laboratory of Soils and Enveronment Faculty of Agriculture Unud. The results of this study showed: the soil quality of intensif paddy soils is better than conversion paddy soils to garden, that showed with SQR at intensif paddy soil is 18 and at conversions paddy soil is 25. The limiting faktor at conversion paddy soils to garden is P available, there are less than at intensif paddy soils.

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