Temporal and spatial variability of soil organic matter in a county scale agricultural ecosystem

Yuan, Xiaotao; Chai, Xurong; Gao, Rutai; He, Yong; Huang, Jin; Huang, Yuanfang

doi:10.1080/00288230709510398

Cited by 8 publications

(6 citation statements)

References 43 publications

(43 reference statements)

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“…It can better reflect the local soil metal(loid) pollution conditions. It indicates that the larger the sampling density, the smaller the error of interpolation result [ 35 ]. As a result, combing the two methods can implement the spatial distribution study on the estimation results of the BP neural network, and improve the accuracy of the Kriging interpolation method.…”

Section: Discussionmentioning

confidence: 99%

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

Jia

Zhou

et al. 2017

IJERPH

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Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this study, 126 topsoil samples were collected in Kunshan City and the geo-accumulation index was selected as a pollution index. We used Kriging interpolation and BP neural network methods to estimate the spatial distribution of arsenic (As) and cadmium (Cd) pollution in the study area. Additionally, we introduced a cross-validation method to measure the errors of the estimation results by the two interpolation methods and discussed the accuracy of the information contained in the estimation results. The conclusions are as follows: data distribution characteristics, spatial variability, and mean square errors (MSE) of the different methods showed large differences. Estimation results from BP neural network models have a higher accuracy, the MSE of As and Cd are 0.0661 and 0.1743, respectively. However, the interpolation results show significant skewed distribution, and spatial autocorrelation is strong. Using Kriging interpolation, the MSE of As and Cd are 0.0804 and 0.2983, respectively. The estimation results have poorer accuracy. Combining the two methods can improve the accuracy of the Kriging interpolation and more comprehensively represent the spatial distribution characteristics of metal(loid)s in regional soil. The study may provide a scientific basis and technical support for the regulation of soil metal(loid) pollution.

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Section: Discussionmentioning

confidence: 99%

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

Jia

Zhou

et al. 2017

IJERPH

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“…Cada amostra compósita resultou de cinco sub--amostras, recolhidas nos quatro cantos e no centro de cada quadrícula. As amostras de solo recolhidas no campo foram secas ao ar e analisadas num sedimentógrafo (Sedigraph 5100) para determinação da textura em 2004e 2007. Em 2004, 2007, 2010 foi determinado o pH do solo numa suspensão em água (1:2,5) utilizando o método potenciométrico.…”

Section: Amostragem Do Solo E Da Pastagemunclassified

“…transporte de solo, originando solos degradados, delgados e pedregosos, com baixos teores de matéria orgânica e tendência para a acidificação, todos factores limitantes da produtividade (Yuan et al, 2007). Uma vez que os baixos teores de SOC podem ter impacto negativo nas propriedades do solo e no ciclo de nutrientes, têm sido desenvolvidos esforços no sentido de definir indicadores da degradação do solo baseados nos teores de SOC.…”

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Variabilidade espacial e estabilidade temporal do carbono orgânico do solo num sistema silvo-pastoril Mediterrânico

Serrano

Silva²,

Shahidian³

et al. 2015

Rev. Ciênc. Agr.

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R E S U M OO carbono orgânico assume um papel vital na determinação da susceptibilidade do solo à degradação. O procedimento recomendado para recuperação dos solos pobres da região Sul de Portugal consiste na instalação de pastagens permanentes e na melhoria da fertilidade. Os objectivos deste estudo foram: i) identificar os padrões espaciais e temporais do carbono orgânico do solo (SOC) e do pH num período de 10 anos; ii) avaliar o potencial para gestão diferenciada da correcção orgânica do solo. Uma pastagem permanente bio diversa, pastoreada por ovinos e sujeita a adubação anual com super fosfato, foi instalada numa parcela de 6 ha, num solo delgado em condições Mediterrânicas. Foi avaliada a variabilidade espacial e a estabilidade temporal do SOC e do pH na camada superficial do solo. Os resultados obtidos indicam que o SOC e o pH apresentam grande potencial para implementação de gestão diferenciada. No caso do SOC, o mapa de classes de gestão mostra que mais de 80% da área do campo experimental apresenta estabilidade temporal e mais de 50% da área apresenta baixos valores de SOC (<10 g kg -1 ), o que justifica o potencial para aplicação diferenciada de correctivos orgânicos no solo. Palavras-chave: carbono orgânico do solo, estabilidade temporal, pastagens A B S T R A C TSoil organic carbon (SOC) plays a vital role in determining the susceptibility to land degradation. The recommended procedure for the recovery of the characteristic poor soils of the Southern region of Portugal is the installation of grazed permanent pastures and increasing soil fertility. The objectives of this study were: i) to identify the spatial and temporal patterns of SOC and pH at four points in time over a 10-year period in a perennial pastureland; ii) to evaluate the potential for differential organic management. A 6 ha permanent bio-diverse pasture field, grazed by sheep and improved by annual application of super phospate fertilizer, was installed on a shallow soil in Mediterranean conditions. Spatial variability and temporal stability of topsoil SOC and pH were measured. The results indicate that SOC and pH have great potential for implementing differential management. In the case of SOC, the management classes map shows that over 80% of the area has temporal stability, while more than 50% of the area has low levels of SOC (<10 g kg -1 ), justifying the potential for differential application of C-rich organic soil amendments.

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“…Consequently, soil nutrients have been estimated at different scales, from field to global by geostatistical techniques [16]. Studies at different scales have determined that the main factors influencing the spatial variability of SOC and STN were soil types [23], climate [24,25], topography [26][27][28], land use patterns [29][30][31], tillage practices [1] and fertilizer application [32].…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Shaoyan

et al. 2020

PLoS ONE

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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.

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Temporal and spatial variability of soil organic matter in a county scale agricultural ecosystem

Cited by 8 publications

References 43 publications

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

Variabilidade espacial e estabilidade temporal do carbono orgânico do solo num sistema silvo-pastoril Mediterrânico

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

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