Estimations of soil organic carbon storage in cropland of China based on DNDC model

Tang, Huajun; Qiu, Jianjun; Ranst, Éric Van; Li, Changsheng

doi:10.1016/j.geoderma.2005.10.005

Cited by 150 publications

(91 citation statements)

References 16 publications

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“…The DNDC version 9.1 was used in this study to simulate the biogeochemical C and N cycle of agricultural and based on land use and activity data (crops, tillage, fertilization, manure application, grazing), soil variables and daily temperatures at a regional scale to study the agricultural soils of China. The DNDC version 9.1 has reasonable data requirement and is suitable for simulation at appropriate and spatial scales (Tang et al, 2006(Tang et al, , 2010Zhang et al, 2012). Clear description of the model simulation process was given by Smith et al (1997).…”

Section: Dndc Modelmentioning

confidence: 99%

“…The agricultural management dataset contained sowing acreage, N fertilizer application rates, livestock, planting and harvest dates, and crop residue incorporation. Farming practices were compiled based on global assumptions as follows (Qiu et al, 2005;Tang et al, 2006): (i) 15% of straw was returned to the soil; (ii) 20% of livestock wastes and 10% human wastes were added as manure to the soil and with no other fertilization; (iii) tillage was applied twice (20 cm before harvest and 15 cm after harvest).…”

Section: Data Inputmentioning

confidence: 99%

“…It has been estimated that 0.4-0.9 Pg C year -1 can be sequestered within global agricultural soils (Paustian et al, 1998). Estimations of changes in the SOC content of cropland soils in China have been made under both short-term and long -term scenarios (Qiu et al, 2005;Tang et al, 2006). Other studies have focused on the characteristics of the C pool accumulated in ecosystems (Pan et al, 2003) and farm management effects on SOC (San José & Montes, 2001;Manna et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, research has been carried out to estimate SOC change from agro-ecosystems using a SOC model (DeNitrification and DeComposition, DNDC model) (Smith et al, 1997;Tang et al, 2006). The DNDC model applies a generic agro-ecosystem model for predicting crop growth, C sequestration and water use efficiency for both upland and wetland crops (Zhang et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Using the DNDC model to compare soil organic carbon dynamics under different crop rotation and fertilizer strategies

Liang

Xue

et al. 2014

Span. j. agric. res.

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Soil organic carbon (SOC) plays a vital role in determining soil fertility, water holding capacity and susceptibility to land degradation. On the Chinese Loess Plateau, a large amount of crop residues is regularly removed; therefore, this agricultural area mainly depends on fertilizer inputs to maintain crop yields. This paper aims to use a computer simulation model (DeNitrification and DeComposition, or DNDC) to estimate the changes of SOC content and crop yield from 1998 to 2047 under different cropping systems, providing some strategies to maintain the SOC in balance and to increase crop yields. The results demonstrated that: (i) single manure application or combined with nitrogen fertilizer could significantly enhance the SOC content and crop yield on the sloped land, terraced field and flat land; and (ii) in contrast to sloped land and terraced field, the SOC content and crop yield both continuously increased in flat fields, indicating that the flat field in this region is a good soil surface for carbon sequestration. These results emphasize that application of manure combined with nitrogen fertilizer would be a better management practice to achieve a goal of increasing soil carbon sequestration and food security.

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Section: Dndc Modelmentioning

confidence: 99%

Section: Data Inputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using the DNDC model to compare soil organic carbon dynamics under different crop rotation and fertilizer strategies

Liang

Xue

et al. 2014

Span. j. agric. res.

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“…The DeNitrification-DeComposition (DNDC) model was selected for its ability to simulate nitrate leaching and greenhouse gas emissions on agricultural lands under various farming managements. The DNDC model has been validated against a number of field observations in the U.S.A., Europe, China, and many other countries, and most of the simulation results have shown that the model could capture general patterns and magnitudes of greenhouse gas emissions and soil organic carbon (SOC) dynamics from agricultural lands 13,19,20 . There have been a few reports testing the validity of the DNDC model in Japan 10,14,17 .…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Validity and Sensitivity of the DNDC Model for Shimajiri Dark Red Soil

Nakagawa

Yan

Shiono

et al. 2008

JARQ

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The validities of the DeNitrification-DeComposition (DNDC) model and the simulation parameters were examined by using the experimental data obtained at Miyako Branch of Okinawa Prefectural Agricultural Research Center. The obtained simulation results were compared with the observed values and it was concluded that the simulation with the measured parameters could produce better simulation results than the simulation with the model provided default parameters. The model seemed to be able to predict the total amounts of leached water and nitrate and N 2 O emissions reasonably well, but the modifications in the model seemed to be still needed for capturing precise seasonal leaching and emission patterns. The sensitivity of the model was analyzed by either increasing or decreasing one of the crop and soil parameters by 25% while holding all other parameters and inputs constant. The changes in water filled porosity at field capacity were found to have the largest effects on the amount of leached water and N 2 O emissions. The amount of leached nitrate was affected by the changes in water filled porosity at field capacity only slightly, but it was reduced significantly by an increase in soil pH.

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Spatial heterogeneity of soil organic carbon in a karst region under different land use patterns

2020

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Citation: Zhang, Z., X. Huang, and Y. Zhou. 2020. Spatial heterogeneity of soil organic carbon in a karst region under different land use patterns. Ecosphere 11(3):Abstract. Using the grid-based sampling method, 2755 soil profiles consisting of 22,057 soil samples were sampled and analyzed to study the spatial distribution and storage of soil organic carbon (SOC) in the Houzhai River Basin in Guizhou Province, a typical karst region in southwestern China. The results suggest that the total levels of SOC stored in the 0-10, 0-20, 0-30, and 0-100 cm soil layers of the Houzhai River Basin are approximately 1.48 9 10 8 , 2.65 9 10 8 , 3.44 9 10 8 , and 5.39 9 10 8 kg C, respectively. SOC content and soil bulk density levels were found to vary depending on the land use. In the 0-50 cm soil layer, forest SOC content levels (including arbor forests, arbor-shrub mixed forests, shrubland, and shrub grassland) are generally higher than those of uncultivated land, followed by grassland and cropland (including paddy fields, arid land, sloping cropland, and abandoned cropland), gardens, and orchard. It is believed that land use is a vital factor directly affecting carbon storage patterns in the study area. Soil thickness, rock outcrop, and slope gradients are the main factors in arrangement of land use by local governments and peasants. This study has established a feasible method for assessment of SOC stock in karst mountainous areas. The findings of this study are applicable to other karst mountainous regions globally.

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Estimations of soil organic carbon storage in cropland of China based on DNDC model

Cited by 150 publications

References 16 publications

Using the DNDC model to compare soil organic carbon dynamics under different crop rotation and fertilizer strategies

Using the DNDC model to compare soil organic carbon dynamics under different crop rotation and fertilizer strategies

Evaluating the Validity and Sensitivity of the DNDC Model for Shimajiri Dark Red Soil

Spatial heterogeneity of soil organic carbon in a karst region under different land use patterns

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