scholarly journals Geostatistical Analysis on Spatial Variability of Soil Nutrients in Vertisols of Deccan Plateau Region of North Karnataka, India

2020 ◽  
Vol 5 (2) ◽  
pp. 283-295
Author(s):  
Vinod Tamburi ◽  
Amba Shetty ◽  
S. Shrihari
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Agricultural Land ◽  
Microwave Plasma ◽  
Spherical Model ◽  
Atomic Emission ◽  
Deccan Plateau ◽  
Land Use And Management

Different methods of land use and management have a significant effect on soil properties distribution. Understanding of variations in soil nutrients in agricultural land use is important. An increase in extraction of nutrients, soil degradation, and management of nutrients is leading to a decline in quality of vertisols across the Deccan plateau of India. Though there are studies on spatial variability of vertisols macronutrients, studies on available calcium (Ca) and available magnesium (Mg) are rare. This study is conducted in Gulbarga taluk, north Karnataka, India, to evaluate the variability of soil pH, Ca, Mg, and Zinc (Zn). A total of 78 samples of soils are collected at 0 to 15 cm depth based on the accessibility and distribution of field patterns. Four subsamples represent a single composite sample. Agilent 4200 MP-AES (Microwave Plasma-Atomic. Emission Spectrometer) was used for determining the concentration of soil nutrients. The soil nutrients represent wide variation in coefficient of variation (CV) with a value of 6 % (for pH) to 70.9 % (for Zn). The soil pH showed a significantly positive correlation to Ca and a negative correlation to Mg. Geostatistical investigation indicates spherical model is the best fit for all nutrients. Except for Ca, all nutrients showed moderate spatial dependence. Ordinary kriging is used to generate spatial variability maps. The maps of spatial variability are highly variable in nutrients content and indicate that site-specific management needs to be taken by local authorities and improve the livelihood of marginal farmers and also for sustainable agriculture.

scholarly journals Spatial variability of soil pH and land use as the main influential factor in redbeds of the Nanxiong Basin, China

2018 ◽  
Author(s):  
Ping Yan ◽  
Hua Peng ◽  
Luobin Yan ◽  
Shaoyun Zhang ◽  
Aimin Chen
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Soil Ph ◽  
Nutrient Management ◽  
Soil Nutrient ◽  
Spherical Model ◽  
Influential Factor ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Main Factors

Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for soil nutrient management and soil pollution prediction. In order to explore the causes of spatial variability of soil pH in redbed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of the soil pH were analysed by geostatistics and classical statistical methods, and the main factors influencing the spatial variability of soil pH are discussed. The results showed that the coefficient of variation in the redbed areas of Nanxiong Basin was 17.18%, indicating moderate variability. The geostatistics analysis showed that the spherical model is the optimal theoretical model for explaining the soil pH’s variability, which is influenced by both structural and random factors. The spatial distribution and pattern analysis showed that soil pH content in the northeast and southwest is relatively high, and is lower in the northwest. These results indicate that topographic factors and land use patterns are the main factors.

scholarly journals Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6342 ◽  
Author(s):  
Ping Yan ◽  
Hua Peng ◽  
Luobin Yan ◽  
Shaoyun Zhang ◽  
Aimin Chen ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Soil Ph ◽  
Soil Nutrient ◽  
Spherical Model ◽  
Influential Factor ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Factors Analysis ◽  
Red Bed

Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in soil pH in red-bed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of soil pH were analyzed by geostatistics and classical statistical methods, and the main factors influencing spatial variability in soil pH are discussed. The coefficient of variation in the red-bed areas of Nanxiong Basin was 17.18%, indicating moderate variability. Geostatistical analysis showed that the spherical model is the optimal theoretical model for explaining variability in soil pH, which is influenced by both structural and random factors. Analysis of the spatial distribution and pattern showed that soil pH is relatively high in the northeast and southwest, and is lower in the northwest. These results indicate that land use patterns and topographic factors are the main and secondary influencing factors, respectively.

scholarly journals Spatial variability of soil pH and land use as the main influential factor in redbeds of the Nanxiong Basin, China

2018 ◽  
Author(s):  
Ping Yan ◽  
Hua Peng ◽  
Luobin Yan ◽  
Shaoyun Zhang ◽  
Aimin Chen
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Soil Ph ◽  
Nutrient Management ◽  
Soil Nutrient ◽  
Spherical Model ◽  
Influential Factor ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Main Factors

Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for soil nutrient management and soil pollution prediction. In order to explore the causes of spatial variability of soil pH in redbed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of the soil pH were analysed by geostatistics and classical statistical methods, and the main factors influencing the spatial variability of soil pH are discussed. The results showed that the coefficient of variation in the redbed areas of Nanxiong Basin was 17.18%, indicating moderate variability. The geostatistics analysis showed that the spherical model is the optimal theoretical model for explaining the soil pH’s variability, which is influenced by both structural and random factors. The spatial distribution and pattern analysis showed that soil pH content in the northeast and southwest is relatively high, and is lower in the northwest. These results indicate that topographic factors and land use patterns are the main factors.

scholarly journals Assessment of Spatial Variability of Soil Chemical Properties under Small-holder Farmers’ Field: a Case Study from Kavrepalanchowk District of Nepal

2018 ◽  
Vol 6 (3) ◽  
pp. 337-343
Author(s):  
Deepak Ghimire ◽  
Bandhu Raj Baral ◽  
Dinesh Panday
Keyword(s):  
Spatial Variability ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Management Practices ◽  
Nutrient Management ◽  
Agricultural Land ◽  
Chemical Properties ◽  
Soil Samples ◽  
Soil Chemical Properties

A proper understanding of variability of soil chemical properties over an area is important for identifying the soil nutrients related production constraints. The suggestions for remedial measures and execution of appropriate nutrient management strategies are also based on the good knowledge of variation in soil nutrients. A case study was undertaken with an objective of assessing spatial variability of selected soil chemical properties of agricultural land. Soil samples from the surface (0 to 15 cm) were collected from farmers’ field in the central part of Kavrepalanchowk district of Nepal in February 2018. Soil samples were analyzed for soil pH, total organic carbon (TOC), total nitrogen (N), phosphorous (P), and potassium (K). Descriptive statistics revealed that the soil in the study area was slightly acidic and contained the low status of TOC, P, and K, while the N content was medium. Coefficient of variation (CV) indicated that soil pH was the least variable (CV= 9.37% with values ranging from 5.3 to 7.7) among the investigated soil samples while N was the most variable (CV= 98.81% with content values ranging from 0.03% to 0.67%). Other selected properties (TOC, P, and K) were found to be highly variable (CV= 49.94%, 94.89%, and 57.53% respectively). These variations in soil chemical properties were mostly related to the different cropping systems and soil management practices, including nutrient management carried out in the study area. Owing to the higher variability of nutrients, the results suggested to take into account various soil and nutrient management practices for sustained soil fertility and enhanced productivity.

scholarly journals Then and Now: Understanding Change on an Agricultural Landscape

2021 ◽  
Author(s):  
Alexander Pardy
Keyword(s):  
Land Use ◽  
Great Lakes ◽  
Management Practices ◽  
Agricultural Landscape ◽  
Agricultural Land ◽  
Reference Group ◽  
Surface Water Quality ◽  
Laurentian Great Lakes ◽  
Phosphorus Pollution ◽  
Land Use And Management

Freshwater eutrophication typically driven by non-point source phosphorus pollution is one of the worlds’ most prevalent and vexing environmental problems with the Laurentian Great Lakes on the Canada – United States border. During 1975 – 1977, the Pollution from Land Use Activities Reference Group examined eleven agricultural watersheds in order to investigate the impacts of land use activities on surface water quality. This study examined how agricultural land use and management has transformed in two watersheds, Nissouri Creek and Big Creek. The goal of this study was to quantify the phosphorus mass balance change within the watersheds. During 2015 – 2019 land use and management practices survey data was collected. Results of this study showed Nissouri Creek is now depleting -2.19 kilograms of phosphorus per hectare of agricultural land, while Big Creek is still accumulating 4.77 kilograms of phosphorus per hectare of agricultural land. This study can guide efforts to limit the long-term losses of phosphorus in the Laurentian Great Lakes and elsewhere.

Agricultural land use and management weaken the soil erosion induced by extreme rainstorms

2020 ◽  
Vol 301 ◽  
pp. 107047 ◽  
Author(s):  
Jianqiao Han ◽  
Wenyan Ge ◽  
Zhe Hei ◽  
Chenyu Cong ◽  
Chunling Ma ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use And Management ◽  
Extreme Rainstorms

Integrating agricultural land-use and management for conservation of a native grassland flora in a variegated landscape

1994 ◽  
Vol 1 (3) ◽  
pp. 236 ◽  
Author(s):  
S. McIntyre
Keyword(s):  
Land Use ◽  
New England ◽  
Agricultural Land ◽  
Planning Process ◽  
Regional Scale ◽  
Spatial Arrangement ◽  
Soil Disturbance ◽  
Land Uses ◽  
The Matrix ◽  
Land Use And Management

Management of variegated landscapes (in which the native vegetation still forms the matrix but has been modified in a variable way) requires strategies to maintain or enhance existing vegetation within the context of human land-uses such as agriculture. Using rangelands in the New England region of New South Wales as an example, spatial patterns of land-use and modification are described. Management principles for conservation of herbaceous communities in areas of pastoral production are suggested, based on the following assumptions: 1) low intensity pasture utilization and management (i.e., limited fertilization, soil disturbance and grazing) is conducive to the maintenance of species richness at a local and regional scale; 2) stratification of management intensity on farms is compatible with viable grazing operations; 3) landscape context is important as effects of management may spread beyond the managed area; 4) spatial arrangement of land-uses could be optimized to maintain or increase diversity. Although our understanding of these issues is incomplete, there is general observational and theoretical support for them. Incorporation of principles derived from these assumptions in the farm planning process is a useful strategy for preserving grassland vegetation in landscapes where opportunities for reserve conservation are limited.

scholarly journals Comparatives Study of Soil Organic Carbon (SOC) under Forest, Cultivated and Barren Land: A Case of Chovar Village, Kathmandu

2014 ◽  
Vol 14 (2) ◽  
pp. 103-108 ◽  
Author(s):  
S Bhandari ◽  
S Bam
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Forest Soil ◽  
Agricultural Land ◽  
Soil Depth ◽  
Barren Land ◽  
C Stocks ◽  
Soc Stock ◽  
Land Use And Management

The study was carried out in Chovar village of Kritipur Municipality, Kathmandu to compare the soil organic carbon (SOC) of three main land use types namely forest, agricultural and barren land and to show how land use and management are among the most important determinants of SOC stock. Stratified random sampling method was used for collecting soil samples. Walkley and Black method was applied for measuring SOC. Land use and soil depth both affected SOC stock significantly. Forest soil had higher SOC stock (98 t ha-1) as compared to agricultural land with 36.6 t ha-1 and barren land with 83.6 t ha-1. Similarly, the SOC in terms of CO22-1, 79.27 to 22.02 CO2-e ha-1 and 121.11 to 80.74 CO2-1 for 0- 20 cm to 40-60 cm soil depth, respectively. Bulk density (BD) was found less in forest soil compared to other lands at all depths, which showed negative correlation with SOC. The study showed a dire need to increase current soil C stocks which can be achieved through improvements in land use and management practices, particularly through conservation and restoration of degraded forests and soils.   DOI: http://dx.doi.org/10.3126/njst.v14i2.10422   Nepal Journal of Science and Technology Vol. 14, No. 2 (2013) 103-108

scholarly journals Agricultural Land Use and Management Practice Influence on Efflux and Influx of Carbon between Soil and the Atmosphere: A Review

2020 ◽  
pp. 31-48
Author(s):  
M. B. Hossain
Keyword(s):  
Carbon Dioxide ◽  
Land Use ◽  
Organic Matter ◽  
Management Practices ◽  
Agricultural Land ◽  
Soil Depth ◽  
Management Practice ◽  
Wetland Soil ◽  
Land Use Pattern ◽  
Land Use And Management

The objective of this paper is to formulate suitable policies and management practices that can firmly reduce CO2–C (carbon dioxide –carbon) emissions and sequester it in a sustainable way. Land use and management practices can influence both efflux and influx of carbon between soil and the atmosphere. Organic matter dynamics and nutrient cycling in the soil are closely related to nutrient immobilization and mineralization. Unplanned conversion of lands to agricultural production causes a sharp decrease in carbon stored in soil. In the atmosphere, 4.0 Gt C yr-1 is enriched by different sources. Increasing soil organic carbon (SOC) improves soil health and mitigate climate change. Histosol, clayey and fine particle size have good capacity to sequestrate C in soil. Land use pattern controls organic matter status in soil. Crop/grass, forestry/agroforestry, reduced tillage, quality of organic matter, soil biotic - abiotic are the major factors to sequestrate significant C in soil. The application of fertilizers especially nitrogen usually results in an increase in crop growth as well as a corresponding increase in root development takes place for building up active organicmatter in soil. Biochar amendments can impact soil C storage and net CO2 removals from the atmosphere in three different ways such as longer residence time due to resistant to microbial decay, plant productivity and reduce N2O emission. Wetland soil, effective management practices and control deforestation sequestrate 0.2, 2.0 and 1.6 Gt C yr-1, respectively. Based on these information, it is possible to increase 4‰ carbon a year the quantity of carbon contained in soils at 0-40 cm soil depth to halt carbon dioxide enrichment (4.0 Gt C yr-1) in the atmosphere.

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