Soil organic carbon storage changes in coastal wetlands of the modern Yellow River Delta from 2000 to 2009

Yu, Junbao; Wang, YL; Yz, Li; Dong, Haifeng; Zhou, Di; Gx, Han; Wu, Huifeng; Gm, Wang; Pl, Mao; Gao, Yongjun

doi:10.5194/bg-9-2325-2012

Cited by 59 publications

(50 citation statements)

References 44 publications

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“…The storage and distribution heterogeneity of SOC depend on climate conditions (Davidson and Janssens, 2006), land-use patterns (Poeplau and Don, 2013;Yu et al, 2012), and human activities and policies (Cao et al, 2011a(Cao et al, , 2011bHeikkinen et al, 2013;. The distribution of SOC has been correlated with various climate factors, soil texture, and land cover types (Batjes and Dijkshoorn, 1999;Jobbágy and Jackson, 2000;Li and Zhao, 2001;Saiz et al, 2012;Wang et al, 2004;Yang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Soil organic carbon in the Sanjiang Plain of China: storage, distribution and controlling factors

Mao

Wang

et al. 2015

Biogeosciences

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Abstract. The accurate estimation of soil organic carbon (SOC) storage and determination of its pattern-controlling factors is critical to understanding the ecosystem carbon cycle and ensuring ecological security. The Sanjiang Plain, an important grain production base in China, is typical of ecosystems, yet its SOC storage and pattern has not been fully investigated because of insufficient soil investigation. In this study, 419 soil samples obtained in 2012 for each of the three soil depth ranges 0-30, 30-60, and 60-100 cm and a geostatistical method are used to estimate the total SOC storage and density (SOCD) of this region. The results give rise to 2.32 Pg C for the SOC storage and 21.20 kg m −2 for SOCD, which is higher than the mean value for the whole country. The SOCD shows notable changes in lateral and vertical distribution. In addition, vegetation, climate, and soil texture, as well as agricultural activities, are demonstrated to have remarkable impacts on the variation in SOCD of this region. Soil texture has stronger impacts on the distribution of SOCD than climate in the Sanjiang Plain. Specifically, clay content can explain the largest proportion of the SOC variations (21.2 % in the top 30 cm) and is the most dominant environmental controlling factor. Additionally, the effects of both climate and soil texture on SOCD show a weakening with increasing soil layer depth. This study indicates that reducing the loss of SOC requires effective conservation and restoration efforts of wetlands and forestlands, as well as sensible fertilization. The results from this study provide the most up-to-date knowledge on the storage and pattern of SOC in the Sanjiang Plain and have important implications for the determination of ecosystem carbon budgets and understanding ecosystem services.

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Section: Introductionmentioning

confidence: 99%

Soil organic carbon in the Sanjiang Plain of China: storage, distribution and controlling factors

Mao

Wang

et al. 2015

Biogeosciences

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“…The average estimation error of prediction using linear model was about 1.2%. The results of Wang et al (2009) showed that land use management and of soil type have the greatest impact on spatial variability of soil organic carbon.…”

Section: Model Evaluationmentioning

confidence: 94%

“…Plow direction 15 tillage With respect to the 3 management systems, the study area was delineated to 10*10 meters quadrates. The systematic random sampling (Yu et al, 2012) was performed in each quadrate. Soil samples from the 4 corners of the quadrates and their center were taken from depth of 0-30 cm (Stöckle et al, 2012) and mixed as a composite sample.…”

Section: Methodsmentioning

confidence: 99%

“…The impact of these methods depends on soil and crop type, and farm management system. The dynamics of soil organic carbon reserves were studied by Yu et al (2012) that was found soil organic carbon stocks on the beach, wetlands, agricultural lands and saline lands that were most affected by the human activities, can vary greatly. The results showed that human activities is a key factor for change and storage of the soil organic carbon.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Soil Carbon Storage Capacity Using Farm Management Factors in Drylands

Sokouti¹,

Kaveh²,

Parvizi³

2017

AgricultForest

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SUMMARYThe Carbon Storage Capacity (CSC) of land ecosystems is considered as the criteria for dry land sustainability assessment through analyzing of its management factors. We studied the commonly used management systems and their affected factors to model soil carbon storage in Sarfirooz-abad watershed, Kermanshah province, IRAN. GIS layers of slope degree, slope direction and elevation created, combined and used as the homogeneous map units. Three field management systems of tillage, crop rotation and residual management were defined and their relevant indicators were quantified. The systematic random method was used for soil sampling and 95 composite soil samples were taken from 0-30cm soil depth. In the laboratory, bulk density, texture and organic carbon content of soils was determined and soil organic carbon storage stocks was calculated. To estimate and model the carbon storage capacity and factors affecting, it was studied by stepwise regression, factor analysis and clustering. Results showed that using cluster analysis by seven variables of 15 variables has the significant relation with CSC with a correlation coefficient of 0.724 including plow index, cereals in crop rotation, stubble burning, animal fertilizer, crop rotation, winter fallow and plow direction. The cluster model efficiency of 0.46 was obtained that could predict about 52% of the CSC variability. The crop rotation and tillage were the variables of precise agricultural systems management that is undoubtedly important in CSC of dry lands.

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“…Previous studies have found that the SOC content would be significantly increased with improved soil quality (i.e., salinity reduction) and agricultural management (i.e., freshwater addition). Yu et al (2012) claimed that the Yellow River Delta will have great potential for SOC sequestration because of its low SOC content compared to other coastal regions in China (Dodla et al 2008;Wang et al 2007); moreover, anthropogenic activities have played a major role in the SOC dynamics in this area.…”

Section: Soc Evolutions During the Last 30 Yearsmentioning

confidence: 99%

Changes and controlling factors of cropland soil organic carbon in North China Plain over a 30-year period

Han¹,

Sun²,

Li³

et al. 2016

Plant Soil

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Aims Try to detect the spatiotemporal dynamics and the controlling factors of soil organic carbon (SOC) in the North China Plain (NCP) over the last 30 years: 1980s-2010s. Methods We investigated the SOC evolution by compiling data from 32 published papers during the last 30 years. Then we examined the spatial pattern and controlling factors by analysing a two-period sampling observations (1980s and 2010s) and multiple explanatory variables in four typical counties.

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Soil organic carbon storage changes in coastal wetlands of the modern Yellow River Delta from 2000 to 2009

Cited by 59 publications

References 44 publications

Soil organic carbon in the Sanjiang Plain of China: storage, distribution and controlling factors

Soil organic carbon in the Sanjiang Plain of China: storage, distribution and controlling factors

Modeling of Soil Carbon Storage Capacity Using Farm Management Factors in Drylands

Changes and controlling factors of cropland soil organic carbon in North China Plain over a 30-year period

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