Multiple Variable Indicator Kriging: A Procedure for Integrating Soil Quality Indicators

2015 ◽  
pp. 147-157
Author(s):  
Jeffrey L. Smith ◽  
Jonathan J. Halvorson ◽  
Robert I. Papendick
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Indicator Kriging ◽  
Soil Quality Indicators ◽  
Multiple Variable

EVALUATION OF SOIL QUALITY INDICATORS BY A PARTICIPATORY METHOD IN RURAL SETTLEMENTS IN SOUTHERN BAHIA, BRAZIL

2015 ◽  
Vol 27 (3) ◽  
pp. 219-232
Author(s):  
Antônio W. O. Rocha Junior ◽  
Guilherme A. H. A. Loureiro ◽  
Quintino R. Araujo ◽  
George A. Sodré ◽  
Arlicélio Q. Paiva ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Rural Settlements ◽  
Soil Quality Indicators ◽  
Southern Bahia ◽  
Participatory Method

scholarly journals Effects of Soil and Water Conservation Measures on Soil Quality Indicators: The Case of Geshy Subcatchment, Gojeb River Catchment, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Melku Dagnachew ◽  
Awdenegest Moges ◽  
Asfaw Kebede ◽  
Adane Abebe
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Water Conservation ◽  
Soil And Water Conservation ◽  
Land Resources ◽  
Soil Quality Indicators ◽  
Volumetric Soil Water Content ◽  
River Catchment ◽  
The Status ◽  
Soil And Water

Land degradation is a global negative environmental process that causes the decline in the productivity of land resources’ capacity to perform their functions. Though soil and water conservation (SWC) technologies have been adopted in Geshy subcatchment, their effects on soil quality were limitedly studied. The study was conducted to evaluate the effects SWC measures on soil quality indicators in Geshy subcatchment, Gojeb River Catchment, Ethiopia. A total of 54 soil samples (two treatments–farmlands with and without SWC measures ∗ three slope classes ∗ three terrace positions ∗ three replications) were collected at a depth of 20 cm. Statistical differences in soil quality indicators were analyzed using multivariate analysis of variance (ANOVA) following the general linear model procedure of SPSS Version 20.0 for Windows. Means that exhibited significant differences were compared using Tukey’s honest significance difference at 5% probability level. The studied soils are characterized by low bulk density, slightly acidic with clay and clay loam texture. The results revealed that farmlands with SWC measures had significantly improved soil physical (silt and clay fractions, and volumetric soil water content (VSWC)) and chemical (pH, SOC, TN, C : N ratio, and Av. phosphorus) quality indicators as compared with farmlands without SWC measures. The significantly higher VSWC, clay, SOC, TN, C : N ratio, and Av. P at the bottom slope classes and terrace positions could be attributed to the erosion reduction and deposition effects of SWC measures. Generally, the status of the studied soils is low in SOC contents, TN, C : N ratio, and Av. P (deficient). Thus, integral use of both physical and biological SWC options and agronomic interventions would have paramount importance in improving soil quality for better agricultural production and productivity.

Response of Soil Quality Indicators to the Pesticide Cadusaphos

2009 ◽  
Vol 40 (1-6) ◽  
pp. 419-434 ◽  
Author(s):  
Evangelia Vavoulidou ◽  
Elisabeth Avramides ◽  
Martin Wood ◽  
Polykarpos Lolos
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Soil Quality Indicators

scholarly journals Sedentary Agriculture and Its Implications on Soil Quality in Agro-pastoral Semi-arid Karamoja, Uganda

2020 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
S. Muwanga ◽  
R. Onwonga ◽  
S. O. Keya ◽  
E. Komutunga
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Data Base ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Depth ◽  
Sustainable Land Use ◽  
Soil Quality Indicators ◽  
Local Soil ◽  
Semi Arid

Uganda Government embarked on promoting sedentary agriculture in Karamoja agro-pastoral semi-arid livelihood zone, which experience rapid environmental and high soil quality (SQ) decline. However, studies on sedentary agriculture’s impact on soil quality using farmer’s knowledge is limited. Consequently, a survey was carried out in Karamoja (Iriiri, Matany Sub-counties of Napak of districts and Rengen sub-county of Kotido) to determine the soil quality indicator parameters based on the farmers knowledge in order to build a local soil knowledge data base to better inform sustainable land use strategies. Using a semi-structured questionnaire, forty indigenous farmers per sub-county, were interviewed between August and September, 2015. The study took into account the social demographic characteristics of the people, farming enterprises, methods of crops production, crops yields trends, causes of the perceived yields trends and soil quality indicators. Prospects of developing Karamoja indigenous knowledge data base lies in visible feature that predict soil quality. Farmers used 36 parameters to determine SQ. The parameters were clustered into five categories; soil, crop, biological, environmental and management each category contributing to 42, 19,14,8 and 17% of the total indicators, respectively. The relationship between age group and the perceived indicators of soil fertility was statistically significant (p-value = 0.045) with the majority stating that they use either soil colour, soil depth or soil texture to express the fertility of soil. The farmer’s soil quality indicators assessed in this study, is important in establishing indigenous-scientific hybrid knowledge data base to enhance soil fertility maintenance and better inform policy makers and other stakeholders on development of sustainable land use strategies.

scholarly journals Soil quality indicators of arable lands in the Russian Federation

2020 ◽  
pp. 31-67
Author(s):  
V. S. Stolbovoy ◽  
A. M. Grebennikov
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Russian Federation ◽  
Arable Land ◽  
Soil Parameters ◽  
Soil Quality Indicators ◽  
Agricultural Lands ◽  
Grain Crops ◽  
The Russian Federation

The study presents three groups of Soil Quality Indicators (SQI) of arable lands in the Russian Federation, such as agroclimate conditions, soil parameters and negative soil characteristics. The selection of SQI meets the requirements of the crop growth model for calculating the standard crop yield. The application of SQI in the Grain Equivalent Model allows ranking quality of the soils of agricultural lands in the country. The share of the best quality Chernozems with the standard yield of grain crops exceeding 4 t/ha is about 10%. At the same time, arable Chernozems occupy nearly 66% of total area of agricultural lands. More than 74% of the arable lands including podzolized and leached Chernozems in the northern part and Chernozems southern in the southern part of the agricultural zone are characterized by medium quality with the standard yield of grain crops 2-4 t/ha. About 10% of the arable land occupied by Chestnut solonetzic and saline soils are of poorer quality with the standard yield of grain crops less than 1 t/ha. The proposed indicators are included in the government programs for valuating and monitoring the quality of agricultural lands. The universal validity of indicators is a basis for the development of a new generation of standards for the protection and rational use of soils based on modern digital technologies and GIS approaches.

scholarly journals The effect of vegetation type on selected soil quality indicators in a semiarid rangeland in Hamedan, Iran

2015 ◽  
Vol 4 (1) ◽  
pp. 70
Author(s):  
Soheila Javaheri Khah ◽  
Mohsen Nael ◽  
Ali Akbar Safari Sinejani ◽  
Ghasem Asadian ◽  
Khadijeh Salari Nik
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Vegetation Type ◽  
Soil Quality Indicators ◽  
Semiarid Rangeland
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