Effects of Conjunctive Nutrient Management on Soil Fertility and Overall Soil Quality Index in Submountainous Inceptisol Soils under Rainfed Maize (Zea maysL.)–Wheat (Triticum aestivum) System

Assessment of the soil natural fertility is important in the socio-economic stability and development of each territory. Purpose: This study is devoted to the method of solving an important socio-economic problem – determining the soil fertility index. Research methodology. In the course of the research the methods of the theory of soil quality assessment, mathematical statistics, field and laboratory researches of the numerical values forming the estimated cost of soils are used. Natural soil fertility is represented by the five most important groups of factors: morphological, physical, agrochemical, physicochemical and environmental. Each group of factors may include a number of individual indicators that researchers believe are the most influential in assessing this type of soil. Soil quality is a complex natural functional system that cannot be obtained from direct measurements, but can be determined with a certain degree of confidence by processing the values that most fully characterize the soil. In this regard, a number of methods and methodological approaches to their definition have been developed. To this end, we have chosen a five-point rating scale, which makes it possible to assess each factor in a single evaluation system. The scientific novelty. Based on known methods of soil quality assessment, the authors propose a methodological approach that allows not only to assess the determination of the soil quality index and its accuracy but also the influence of individual factors on the index value. Results: classification of the factors forming the soil quality index, their scores` assessment and methodology of database processing have been developed, and their practical application and confirmation have been found in experimental studies. Practical significance. This can be used by experts in the field of soil assessment to develop proposals and recommendations for public authorities and local governments to address land administration issues.

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Analytical Study on Fertility Status and Soil Quality Index of Shorearobusta Forest, Central Nepal

Tribhuvan University Journal ◽

10.3126/tuj.v33i2.33560 ◽

2019 ◽

Vol 33 (2) ◽

pp. 1-14

Author(s):

Mahendra Singh Thapa ◽

Thakur Bhattarai ◽

Ram Prasad Sharma ◽

Baburam K. C ◽

Lila Puri

Keyword(s):

Soil Fertility ◽

Soil Quality ◽

Quality Index ◽

Subsurface Layer ◽

Soil Parameters ◽

Community Forest ◽

Soil Quality Index ◽

Fertility Status ◽

Soil Fertility Status ◽

Different Altitudes

Physiochemical parameters of soil under Shorearobusta forest was estimated to evaluate the soil fertility status and soil quality index in different altitudes of community managed forest of Khairani Municipality Chitwan district Nepal. Altogether 75 soil samples were collected from the forest area at five different depths. Sandy clay loam and sandy loam texture was found in surface and subsurface layer respectively. The mean soil pH of altitudinal strata was 5.57 which is moderately acidic and showed decreasing trend with increasing soil depths. Average bulk density ranged from 1.14 to 1.30 in all attitudes. Organic carbon varied from 0.30 to 1.30% and organic matter ranges from 0.52 to 2.23%. The amount of mean available phosphorus seem low to medium rating in these forest strata. Mean exchangeable potassium varied from 61.89 mg kg-1 to 96.02 mg kg-1 in different altitudes. Most of these soil attributes decreased with the increasing depth. Pearson correlation analysis among the different soil parameters were showed statistically significant at the 0.01 level (2 – tailed) and 0.05 levels (2 - tailed).One way ANOVA of the studied soil parameters in different altitudes observed that they were statistically significant at 0.05 level (p ≤ 0.05). The overall soil fertility status of the Kankali Community Forest is low to medium. An average SQI was found 0.55 (fair) up to 120 cm depths,slightly decreased with increasing soil depths. Regulation of Leaf litter collection and adoption of appropriate silvicultural operation may help to increase the fertility status and site quality of Kankali community forest.

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Stimulating the efficient use of agricultural land based on the improved methodology for land tax calculation

E3S Web of Conferences ◽

10.1051/e3sconf/202124403013 ◽

2021 ◽

Vol 244 ◽

pp. 03013

Author(s):

Uzbekkhon Mukhtorov

Keyword(s):

Soil Fertility ◽

Soil Quality ◽

Quality Index ◽

Agricultural Land ◽

Agricultural Lands ◽

Soil Quality Index ◽

Land Taxation ◽

Negative Condition ◽

Normative Value

Article develops recommendations for the use of reducing (incentive) coefficients in land tax calculation of on agricultural lands, taking into account the quality of land and interrelation between an increase and decrease in soil fertility, which leads to an increase in land tax. In calculating land taxation, this is formed based on the normative value of agricultural land. The calculation of the normative value of agricultural land is inextricably linked with the soil quality index (SQI), which determines the fertility of the soil. As decreasing and increasing coefficients in the growth of productivity in 11 agriultural farms of “Pakhtaobod” massif of Nishan adiminstrative district of Kashkadarya province, when the normative value changed for the better, the amount of land tax decreased by 18.933.000 UZS (19.5%) and in 10 agriсultural farms the increase in the amount of land tax by 7.070.820 UZS (15.8%) in the negative condition.

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Soil vital signs: A new Soil Quality Index (SQI) for assessing forest soil health

10.2737/rmrs-rp-65 ◽

2007 ◽

Cited By ~ 24

Author(s):

Michael C. Amacher ◽

Katherine P. O'Neil ◽

Charles H. Perry

Keyword(s):

Forest Soil ◽

Soil Quality ◽

Quality Index ◽

Soil Health ◽

Vital Signs ◽

Soil Quality Index

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A new approach to elaborate a multifunctional soil quality index

Journal of Soils and Sediments ◽

10.1007/bf02991142 ◽

2004 ◽

Vol 4 (3) ◽

pp. 201-204 ◽

Cited By ~ 1

Author(s):

Giancarlo Barbiroli ◽

Giovanni Casalicchio ◽

Andrea Raggi

Keyword(s):

Soil Quality ◽

Quality Index ◽

Soil Quality Index ◽

New Approach

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Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Agronomy ◽

10.3390/agronomy11071426 ◽

2021 ◽

Vol 11 (7) ◽

pp. 1426

Author(s):

Ahmed S. Abuzaid ◽

Mohamed A. E. AbdelRahman ◽

Mohamed E. Fadl ◽

Antonio Scopa

Keyword(s):

Remote Sensing ◽

Soil Quality ◽

Land Degradation ◽

Quality Index ◽

Management Strategies ◽

Remote Sensing Data ◽

Western Desert ◽

Soil Quality Index ◽

Climate Conditions ◽

Sensing Data

Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key factor for sustainable agricultural production. In the present work, a trial for usingremote sensing data, GIS tools, and Analytic Hierarchy Process (AHP) was conducted for modeling and evaluating LDV. The model was then applied within 144,566 ha in Farafra, an inland hyper-arid Western Desert Oases in Egypt. Data collected from climate conditions, geological maps, remote sensing imageries, field observations, and laboratory analyses were conducted and subjected to AHP to develop six indices. They included geology index (GI), topographic quality index (TQI), physical soil quality index (PSQI), chemical soil quality index (CSQI), wind erosion quality index (WEQI), and vegetation quality index (VQI). Weights derived from the AHP showed that the effective drivers of LDV in the studied area were as follows: CSQI (0.30) > PSQI (0.29) > VQI (0.17) > TQI (0.12) > GI (0.07) > WEQI (0.05). The LDV map indicated that nearly 85% of the total area was prone to moderate degradation risks, 11% was prone to high risks, while less than 1% was prone to low risks. The consistency ratio (CR) for all studied parameters and indices were less than 0.1, demonstrating the high accuracy of the AHP. The results of the cross-validation demonstrated that the performance of ordinary kriging models (spherical, exponential, and Gaussian) was suitable and reliable for predicting and mapping soil properties. Integrated use of remote sensing data, GIS, and AHP would provide an effective methodology for predicting LDV in desert oases, by which proper management strategies could be adopted to achieve sustainable food security.

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