Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Yao, Xiong; Yu, Kunyong; Deng, Ye; Liu, Jian; Lai, Zhuangjie

doi:10.1007/s11676-019-01014-8

Cited by 48 publications

(39 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, Shrestha and Singh (2008) mention that the inputs of roots and leaf litter have a significant role in forest soil carbon dynamics. Moreover, the reduced soil organic carbon in the forested sites may be due to low vegetation cover and high anthropological activities (Yao et al, 2019). Nonetheless, the outcome results of Sheikh et al (2009) study shows the declining rate of total SOC stock with an increase in altitude.…”

Section: Soil Organic Carbonmentioning

confidence: 89%

Carbon sequestration potential of community forests: A comparative analysis of soil organic carbon stock in community managed forests of Far-Western Nepal

Joshi¹,

Singh²,

Chhetri³

et al. 2021

Eurasian Journal of Soil Science (Ejss)

View full text Add to dashboard Cite

Assessment of soil organic carbon (SOC) pool is an essential pace for understanding the carbon sequestration potential (CSP) of the soil system as a mitigation strategy and also investigate that they act as a source or sink for the atmospheric CO2 subject to the level of saturation. Improved CSP has been recognized as one of the possible solutions for mitigating climate change. The CSP of soil system for the community forests (CFs) in Nepal is not well recognized. Therefore, a study was conducted in two community-managed forests viz Ganesh (degraded) and Ramnagar (non-degraded) CFs situated in the Kanchanpur district of Nepal to quantify the SOC and Bulk density (BD). For determining SOC, systematic sampling with a sampling intensity of 0.5% was used for collecting altogether 189 soil samples from both the CFs. In addition, the soil samples from varying depths (0-10, 10-20, and 20-30 cm) of each soil profile were collected from each sampling plot. The mean SOC observed upto 30 cm soil depth in Ganesh and Ramnagar CF was 42.55 ± 3.10 t ha -1 and 54.21 ± 3.59 t ha -1 respectively. While, maximum SOC was noticed at 0-10 cm whereas minimum at 20-30 cm in both the CFs. Moreover, SOC decreased and bulk density increased with increasing soil depth in both the CFs. SOC and BD was negatively correlated in both CFs. The total SOC pool exhibited a significant (p<0.05) difference between the two CFs. Hence, the outcome of study shows that the both CFs has enormous potential to sequester the atmospheric concentration of CO2 into soil. With this concern, the participation of local people in sustainable management of community forests enhance the soil quality and meets strategy to mitigate the climate change.

show abstract

Section: Soil Organic Carbonmentioning

confidence: 89%

Carbon sequestration potential of community forests: A comparative analysis of soil organic carbon stock in community managed forests of Far-Western Nepal

Joshi¹,

Singh²,

Chhetri³

et al. 2021

Eurasian Journal of Soil Science (Ejss)

View full text Add to dashboard Cite

show abstract

“…The past literature has shown that because of the variation in soil erosion, the SOM content varies in different regions [7][8][9][10], land-use patterns [11,12] and landforms [13,14]. For example, Yao et al [15] studied the change in SOM content in different soil depths (0-20, 20-40 and 40-60 cm) in the red soil region of South China, and found that the spatial pattern of SOM was characterized by higher content in the periphery and lower content in the middle. Zhang et al [14] analyzed the spatial heterogeneity of SOM in the Karst mountain area which possesses a fragile ecology.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods

Yan

Lin

Wang

et al. 2021

IJGI

View full text Add to dashboard Cite

Understanding the spatial variability of soil organic matter (SOM) is crucial for implementing precise land degradation control and fertilization to improve crop productivity. Studying spatial variability provides a scientific basis for precision fertilization and land degradation control. In this study, geostatistics and classical statistical methods were used to analyze the spatial variability of SOM and its influencing factors under various degrees of land degradation in the red bed area of southern China. The results demonstrate a declining trend for SOM content with increasing land degradation. The SOM content differs profoundly under different land degradation degrees. The coefficient of variation ranges from 13.61% for extreme land degradation to 8.98% for mild land degradation, 7.96% for moderate land degradation, and 5.64% for severe land degradation. A significant positive correlation is displayed between the altitude and the SOM (p < 0.01) under mild and moderate land degradation conditions. Bulk density and pH value have a significant negative correlation with SOM (p < 0.01). It can be observed that terrain factors, as well as physical and chemical soil parameters, have a great influence on SOM.

show abstract

“…Outliers usually refer to extreme values that naturally exist in the study area or that are caused by errors in sampling and laboratory analysis [ 44 , 52 ]. The outliers in the range have a great influence on the accuracy of the semivariogram theoretical model [ 53 ].…”

Section: Methodsmentioning

confidence: 99%

“…The threshold method is a simple and effective method for identifying specific outliers [ 52 ]. Data greater than or less than three standard deviations from the mean (σ±3s) are identified as outliers where σ and s represent the mean value and standard deviation, respectively [ 44 , 56 ]. For kriging analysis, the extreme data can be removed and replaced with the normal maximum and minimum values [ 56 ].…”

Section: Methodsmentioning

confidence: 99%

“…As a model of soil erosion control in China, Changting's practices have been promoted as an example of ecological construction throughout the country. Numerous studies have been conducted at plot and catchment scales in Changting County [43][44][45] with erosion mechanisms [46,47] and vegetation restoration modes [45] as the main research contents. However, no field study has yet been carried out to investigate the overall levels of SOC and STN in Changting County, which were inadequate in providing basic soil data to improve the soil based on local variability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing spatial variability of soil organic carbon and total nitrogen in eroded hilly region of subtropical China

Zhang

Shaoyan

et al. 2020

PLoS ONE

View full text Add to dashboard Cite

The hilly red soil region of southern China suffers from severe soil erosion that has led to soil degradation and loss of soil nutrients. Estimating the content and spatial variability of soil organic carbon (SOC) and soil total nitrogen (STN) and assessing the influence of topography and land-use type on SOC and STN after years of soil erosion control are important for vegetation restoration and ecological reconstruction. A total of 375 topsoil samples were collected from Changting County, and their SOC and STN distributions were studied by using descriptive statistics and geostatistical methods. Elevation, slope, aspect and land-use type were selected to investigate the impacts of natural and human factors on the spatial heterogeneity of SOC and STN. The mean SOC and STN concentrations were 15.85 and 0.98 g kg-1 with moderate spatial variations, respectively. SOC and STN exhibited relatively uniform distributions that decreased gradually from the outside parts to the center of the study area. The SOC and STN contents in the study area were still at moderate and low levels after years of erosion control, which suggests that soil nutrient improvement is a slow process. The lowest SOC and STN values were at lower elevations in the center of Changting County. The results indicated that the SOC and STN contents increased most significantly with elevation and slope due to the influence of topography on the regional natural environment and soil erosion in the eroded hilly region. No significant variations were observed among different slope directions and land-use types.

show abstract

Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Cited by 48 publications

References 47 publications

Carbon sequestration potential of community forests: A comparative analysis of soil organic carbon stock in community managed forests of Far-Western Nepal

Carbon sequestration potential of community forests: A comparative analysis of soil organic carbon stock in community managed forests of Far-Western Nepal

Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods

Assessing spatial variability of soil organic carbon and total nitrogen in eroded hilly region of subtropical China

Contact Info

Product

Resources

About