Spatial Distribution of Surface Soil Acidity, Electrical Conductivity, Soil Organic Carbon Content and Exchangeable Potassium, Calcium and Magnesium in Some Cropped Acid Soils of India

2014 ◽  
Vol 26 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Sanjib Kumar Behera ◽  
Arvind Kumar Shukla
Keyword(s):  
Electrical Conductivity ◽  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Acidity ◽  
Surface Soil ◽  
Acid Soils ◽  
Organic Carbon Content ◽  
Exchangeable Potassium ◽  
Calcium And Magnesium

scholarly journals Influence of Slope Gradient and Aspect on Soil Organic Carbon Content in the Region of Niš, Serbia

2021 ◽  
Vol 13 (15) ◽  
pp. 8332
Author(s):  
Snežana Jakšić ◽  
Jordana Ninkov ◽  
Stanko Milić ◽  
Jovica Vasin ◽  
Milorad Živanov ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Slope Aspect ◽  
Available Phosphorus ◽  
Organic Carbon Content ◽  
Slope Gradient ◽  
Phosphorus And Potassium ◽  
Uncultivated Land

Topography-induced microclimate differences determine the local spatial variation of soil characteristics as topographic factors may play the most essential role in changing the climatic pattern. The aim of this study was to investigate the spatial distribution of soil organic carbon (SOC) with respect to the slope gradient and aspect, and to quantify their influence on SOC within different land use/cover classes. The study area is the Region of Niš in Serbia, which is characterized by complex topography with large variability in the spatial distribution of SOC. Soil samples at 0–30 cm and 30–60 cm were collected from different slope gradients and aspects in each of the three land use/cover classes. The results showed that the slope aspect significantly influenced the spatial distribution of SOC in the forest and vineyard soils, where N- and NW-facing soils had the highest level of organic carbon in the topsoil. There were no similar patterns in the uncultivated land. No significant differences were found in the subsoil. Organic carbon content was higher in the topsoil, regardless of the slope of the terrain. The mean SOC content in forest land decreased with increasing slope, but the difference was not statistically significant. In vineyards and uncultivated land, the SOC content was not predominantly determined by the slope gradient. No significant variations across slope gradients were found for all observed soil properties, except for available phosphorus and potassium. A positive correlation was observed between SOC and total nitrogen, clay, silt, and available phosphorus and potassium, while a negative correlation with coarse sand was detected. The slope aspect in relation to different land use/cover classes could provide an important reference for land management strategies in light of sustainable development.

Uncertainty assessment of soil organic carbon content spatial distribution using geostatistical stochastic simulation

Soil Research ◽  
2010 ◽  
Vol 48 (1) ◽  
pp. 27 ◽  
Author(s):  
Masoomeh Delbari ◽  
Willibald Loiskandl ◽  
Peyman Afrasiab
Keyword(s):  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Stochastic Simulation ◽  
Uncertainty Assessment ◽  
Sequential Gaussian Simulation ◽  
Organic Carbon Content ◽  
Spatial Continuity ◽  
Standard Deviations ◽  
Simulation Algorithms

Soil organic carbon (SOC) affects many processes in soil. The main objective of this study was the prediction and uncertainty assessment of the spatial patterns of SOC through stochastic simulation using 2 simulation algorithms, sequential Gaussian simulation (sGs) and sequential indicator simulation (sis). The dataset consisted of 158 point measurements of surface SOC taken from an 18-ha field in Lower Austria. Conditional stochastic simulation algorithms were used to generate 100 maps of equiprobable spatial distribution for SOC. In general the simulated maps represented spatial distribution of SOC more realistically than the kriged map, i.e. overcoming the smoothing effect of kriging. Unlike sGs, sis was able to preserve the connectivity of extreme values in generated maps. The SOC simulated maps generated through sGs reproduced the sample statistics well. The reproduction of class-specific patterns of spatial continuity of SOC for the simulated model produced through sis was also reasonably good. The results highlight that when the class-specific patterns of spatial continuity of the attribute must be preserved, sis is preferred to sGs. For local uncertainty, standard deviations obtained using kriging varied much less across the study area than those obtained using simulations. This shows that the conditional standard deviations achieved through simulations depend on data values in addition to data configuration for greater reliability in reporting the estimation precision. Further, according to accuracy plots and goodness statistic, G, sis performs the modelling uncertainty better than sGs. The simulated models can provide useful information in risk assessment of SOC management in Lower Austria.

scholarly journals Spatial Distribution of Soil Organic Carbon in Amazonia

2018 ◽  
Vol 10 (9) ◽  
pp. 153
Author(s):  
G. F. Franco ◽  
J. J. L. L. de Souza ◽  
A. L. L. de Faria ◽  
M. C. C. Campos ◽  
L. M. Da Costa
Keyword(s):  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Pearson Correlation ◽  
C:N Ratio ◽  
Reduction Process ◽  
Exchange Capacity ◽  
Parent Material ◽  
Organic Carbon Content ◽  
Physical And Chemical

The Amazon rainforest is considered the most important ecosystem in the world for the global carbon balance due to its high carbon storage in soil and in the vegetation. Unfortunately, there are few studies about organic fraction of its soils. Thus, the present research aimed to quantify the soil organic carbon content (OC) and to analyze its spatial distribution using 701 soil samples from minimally anthropic areas compiled from previous studies. Descriptive statistics, Pearson correlation and spatial variability analyses of OC and other physical and chemical soil data were performed. The high variability of OC between soil groups were attributed to the preservation and protection of carbon by oxides, reduction process and organic-rich parent material. OC was strongly positively correlated with total nitrogen (N) content, C:N ratio and cation exchange capacity at pH 7.0. The maps produced showing the spatial distribution of CO and that based on C:N ratio would be support for the creation of priority areas in the conservation of ecosystem.

scholarly journals Spatial distribution dependency of soil organic carbon content to important environmental variables

2020 ◽  
Vol 116 ◽  
pp. 106473 ◽  
Author(s):  
Fahimeh Mirchooli ◽  
Mahboobeh Kiani-Harchegani ◽  
Abdulvahed Khaledi Darvishan ◽  
Samereh Falahatkar ◽  
Seyed Hamidreza Sadeghi
Keyword(s):  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Environmental Variables ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content

Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory

2001 ◽  
Vol 65 (3) ◽  
pp. 842-849 ◽  
Author(s):  
John J. Brejda ◽  
Maurice J. Mausbach ◽  
Jeffrey J. Goebel ◽  
Deborah L. Allan ◽  
Thanh H. Dao ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Surface Soil ◽  
Regional Scale ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content ◽  
Resource Inventory ◽  
National Resource

Space-time monitoring of soil organic carbon content across a semi-arid region of Australia

2021 ◽  
Vol 24 ◽  
pp. e00367
Author(s):  
Patrick Filippi ◽  
Stephen R. Cattle ◽  
Matthew J. Pringle ◽  
Thomas F.A. Bishop
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Arid Region ◽  
Space Time ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content ◽  
Semi Arid Region ◽  
Semi Arid
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