Spatial distribution of soil organic carbon and total nitrogen stocks in a karst polje located in Bosnia and Herzegovina

Bogunović, Igor; Pereira, Paulo; Ćorić, Radica; Husnjak, Stjepan; Brevik, Eric C.

doi:10.1007/s12665-018-7801-z

Cited by 10 publications

(6 citation statements)

References 83 publications

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“…An accurate state-of-the-art of SOC/SOM distribution would allow us to foresee future trends, and to evaluate the effectiveness of soil conservation practices stabilizing and increasing carbon stock in soils, which should be adopted for a more sustainable soil management. As in our case, mapping SOC over a large area in Bosnia and Herzegovina by classical geostatistical methods [58] showed that the spatial distribution of SOC concentration was strongly influenced by the intense farming practices. In this case, however, the environmental variables had a reduced capacity to explain the spatial variability of SOC.…”

Section: Resultssupporting

confidence: 65%

Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)

Piccini¹,

Francaviglia²,

Marchetti³

2020

Land

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Organic matter, an important component of healthy soils, may be used as an indicator in sustainability assessments. Managing soil carbon storage can foster agricultural productivity and environmental quality, reducing the severity and costs of natural phenomena. Thus, accurately estimating the spatial variability of soil organic matter (SOM) is crucial for sustainable soil management when planning agro-environmental measures at the regional level. SOM variability is very large in Italy, and soil organic carbon (SOC) surveys considering such variability are difficult and onerous. The study concerns the Abruzzo Region (about 10,800 km2), in Central Italy, where data from 1753 soil profiles were available, together with a Digital Elevation Model (DEM) and Landsat images. Some morphometric parameters and spectral indices with a significant degree of correlation with measured data were used as predictors for regression-kriging (RK) application. Estimated map of SOC stocks, and of SOM related to USDA (United States Department of Agriculture) texture—an additional indicator of soil quality—were produced with a satisfactory level of accuracy. Results showed that SOC stocks and SOM concentrations in relation to texture were lower in the hilly area along the shoreline, pointing out the need to improve soil management to guarantee agricultural land sustainability.

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Section: Resultssupporting

confidence: 65%

Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)

Piccini¹,

Francaviglia²,

Marchetti³

2020

Land

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“…In general, ratios above 25 indicate slow rates of decomposition, whereas ratios below 25 represent increasingly faster rates of organic matter decomposition (Blume et al, 2010). It is also a good index from which to obtain information about soil fertility, since there is a strong interrelationship between soil organic carbon and total nitrogen content (TN) (Bogunovic et al, 2018). TN content in soils is also a useful indicator to get information about soil nutrient status at a given time.…”

Section: Literature Reviewmentioning

confidence: 99%

Compiling C/N and total-N dataset to support countrywide soil nutrient emission models for Hungary

2020

Stud. Agr. Econ.

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“…They contribute to maintaining soil health, water retention capacity, and other soil factors that support agricultural production and food security [11,12]. Bogunovic et al [13] discovered that the spatial distribution of SOC and STN in the Livno Polje was quite similar, with the highest concentrations observed in the northwestern part of the study area and the lowest in the central and southwestern parts, as a result of clay content and land use. Li et al [14] demonstrated that the features of soil nutrient distribution in the Zhuxi small watershed presented ribbon and plaque shapes, with significant spatial variability in the western region.…”

Section: Introductionmentioning

confidence: 95%

Spatial Distribution of Soil Organic Carbon and Total Nitrogen in a Micro-Catchment of Northeast China and Their Influencing Factors

et al. 2023

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This study aimed to analyze the spatial distribution of soil organic carbon (SOC) and total nitrogen (STN) in a micro-catchment area comprising farmland and a gully with vegetation restoration (artificial forest and grassland) and their influencing factors. We surveyed a total of 52 topsoil sampling sites to measure the SOC and STN content, as well as topographical factors (elevation, curvature, slope gradient, and aspect), soil properties (bulk density, aggregate distribution, soil texture, and soil moisture), and land use and management. We used traditional statistical and geostatistical methods to analyze the spatial variability of SOC and STN. The results of this study indicate that SOC and STN content varied moderately across the entire micro-catchment area, with greater values in the west (gully head area) than in the east (gully mouth area). Additionally, SOC and STN were significantly positively correlated with soil water content, >2 mm size aggregate fraction, and elevation, but negatively correlated with <0.053 mm size fraction. Land use types also influenced the spatial distribution of SOC and STN contents, with the highest averages of SOC and STN content found at the edge of farmland road and grassland, respectively, and the lowest values in bare land. This study provides a valuable supplement to the understanding of SOC and STN in micro-catchment areas, and the research results also support the evaluation of the impact of gully erosion control on SOC and STN dynamics after vegetation restoration. Overall, vegetation restoration should be adopted for gully erosion control and sustainable agricultural development in the Mollisols region of Northeast China.

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Spatial distribution of soil organic carbon and total nitrogen stocks in a karst polje located in Bosnia and Herzegovina

Cited by 10 publications

References 83 publications

Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)

Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)

Compiling C/N and total-N dataset to support countrywide soil nutrient emission models for Hungary

Spatial Distribution of Soil Organic Carbon and Total Nitrogen in a Micro-Catchment of Northeast China and Their Influencing Factors

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