scholarly journals Spatial variability of biogenic elements and organic carbon content in the tributaries of Lake Baikal

2020 ◽  
Vol 163 ◽  
pp. 05012
Author(s):  
Ekaterina Sharapova ◽  
Ludmila Efimova ◽  
Irina Denisova ◽  
Aida Ermekova ◽  
Mikhail Lychagin ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Spatial Variability ◽  
Lake Baikal ◽  
Aquatic Vegetation ◽  
Chemical Elements ◽  
Organic Phosphorus ◽  
Biogenic Elements ◽  
Organic Carbon Content ◽  
Mineral Phosphorus ◽  
Erosion Processes

The article considers the features of biogenic elements and organic carbon (Corg) content spatial variability in the Lake Baikal tributaries. The role of hydrological conditions and landscape-geochemical features in the chemical elements flow formation is shown. It was found that organic carbon in the river waters is represented mainly by its dissolved form. In the lower reaches of the Selenga, erosion processes and economic activity in the catchment area increase the proportion of suspended forms of organic carbon and mineral phosphorus. In the river delta under the influence of the sedimentation and the intake of organic matter formed during aquatic vegetation decomposition, the content of dissolved Corg increases with a contemporary decrease in its suspended form. As a result of intensification of production and destruction processes in well-heated areas of the delta, a significant decrease in the concentrations of mineral phosphorus and an increase in organic phosphorus occur.

scholarly journals A Spatial Distribution of Organic Carbon Status in Koppal and Yadgir Taluks of Karnataka, India Using GIS and Geostatistics

2021 ◽  
Author(s):  
Rajendra Hegde ◽  
Mahendra Kumar M B ◽  
Niranjana K V ◽  
Seema K V ◽  
Dhanorkar B A
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Crop Production ◽  
Integrated Management ◽  
Spherical Model ◽  
Soil Productivity ◽  
Organic Carbon Content ◽  
Dry Zone ◽  
Arc Gis

Abstract Spatial variability of soil organic carbon status is necessary for enhancing crop and soil productivity. In this study, soil samples were collected from Koppal and Yadgir taluk in Northern dry zone and Northeastern dry zone of Karnataka at 320 m grid interval at 0-15 cm depth and assessed for organic carbon and map was prepared under GIS using Arc GIS 10.4 Geo-wizard Kriging method. The results of the study indicated that, soil organic carbon content was medium in 37 per cent and high in 26 per cent of the total area (1,38,298 ha) in Koppal taluk. Whereas in Yadgir taluk, soil organic carbon status was medium in 38 per cent and high in 31 per cent of the total area (1,71,060 ha). The descriptive statistics were positively skewed with positive kurtosis value. The spatial variability study showed a moderate spatial dependence with spherical model. Therefore, the study showed that, most of the soils were medium in fertility status. There is a need of integrated management for sustainable crop production.

Rocky Mountain forest soils: Evaluating spatial variability using conventional statistics and geostatistics

1996 ◽  
Vol 76 (4) ◽  
pp. 501-507 ◽  
Author(s):  
S. Rahman ◽  
L. C. Munn ◽  
R. Zhang ◽  
G. F. Vance
Keyword(s):  
Organic Carbon ◽  
Spatial Variability ◽  
Soil Properties ◽  
Carbon Content ◽  
Forest Soils ◽  
Organic Carbon Content ◽  
Flow Accumulation ◽  
Medicine Bow Mountains ◽  
Principle Components Analysis ◽  
Terrain Attributes

Spatial variability of soils is a landscape attribute which soil scientists must identify and understand if they are to construct useful soils maps. This paper describes the spatial variability of soils in a forested watershed in the Medicine Bow Mountains, Wyoming, using both conventional statistics and geostatistics. Principle Components Analysis indicated that flow accumulation and aspect were the two terrain attributes that most economically described terrain variability. Thickness of A and B horizons, organic carbon and solum coarse fragments were variable in the study area (CVs of 40 to 58%). Simple correlation and regression analyses suggested there were no statistically significant relationships between soil properties (texture, pH, coarse fragments, organic carbon content) and terrain attributes (elevation, slope gradient, slope shape, flow accumulation, aspect). Geostatistical analysis indicated thickness and coarse fragment contents of the A and B horizons, and solum thickness were spatially independent variables; however, pH, organic carbon content, and solum coarse fragment content were spatially correlated. Spatial variability was described by both linear (pH and organic carbon content) and spherical (solum coarse fragment) models. Use of geostatistics provided insight into the nature of variability in soil properties across the landscape of the Libby Creek watershed when conventional statistics (analysis of variance and regression analysis) did not. Key words: Rocky Mountains, Medicine Bow Mountains, forest soils, spatial variability, principle component analysis, geostatistics

scholarly journals Mapping soil organic carbon under erosion processes using remote sensing

2021 ◽  
Vol 70 (1) ◽  
pp. 49-64
Author(s):  
Azamat Suleymanov ◽  
Ilyusya Gabbasova ◽  
Ruslan Suleymanov ◽  
Evgeny Abakumov ◽  
Vyacheslav Polyakov ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Regression Model ◽  
Humic Substances ◽  
Soil Formation ◽  
13C Nmr Spectroscopy ◽  
Linear Regression Method ◽  
Organic Carbon Content ◽  
Spectral Reflectivity ◽  
Erosion Processes

This study aimed to map soil organic carbon under erosion processes on an arable field in the Republic of Bashkortostan (Russia). To estimate the spatial distribution of organic carbon in the Haplic Chernozem topsoil, we applied Sentinel-2A satellite data and the linear regression method. We used 13 satellite bands and 15 calculated spectral indices for regression modelling. A regression model with an average prediction level has been created (R2 = 0.58, RMSE = 0.56, RPD = 1.61). Based on the regression model, cartographic materials for organic carbon content have been created. Water flows and erosion processes were determined using the calculated Flow Accumulation model. The relationship between organic carbon, biological activity, and erosion conditions is shown. The 13C-NMR spectroscopy method was used to estimate the content and nature of humic substances of different soil samples. Based on the 213C-NMR analysis, a correlation was established with the spectral reflectivity of eroded and non-eroded soils. It was revealed that the effect of soil organic carbon on spectral reflectivity depends not only on the quantity but also on the quality of humic substances and soil formation conditions.

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

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.

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