Application of the RothC model to the results of long‐term experiments on typical upland soils in northern China

Guo, Liping; Falloon, Pete; Coleman, Kevin; Zhou, Baoku; Li, Y.; Lin, Erda; Zhang, F.

doi:10.1111/j.1475-2743.2006.00056.x

Cited by 72 publications

(47 citation statements)

References 31 publications

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“…Overall, conventional tillage and no-tillage gave similar yields, provided that N and P were sufficiently available. The yields for winter wheat and summer maize are in a similar range to those reported for a fertilization trial in Changping, northern China (Guo et al, 2007).…”

Section: Yieldssupporting

confidence: 70%

Effects of fertilization and soil management on crop yields and carbon stabilization in soils. A review

Ludwig

Geisseler

Michel

et al. 2010

Agronomy Sust. Developm.

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-The study of sustainable land use is complex and long-term experiments are required for a better understanding of the processes of carbon stabilization. Objectives were (i) to describe for four long-term experiments the effects of fertilization and soil management on crop yields and the dynamics of soil organic carbon (SOC) and total N, and (ii) to discuss the usefulness of models for a better understanding of the underlying processes. Data of soil organic carbon and total N of four long-term experiments in Germany and China which studied the effect of fertilization (Bad Lauchstädt, Darmstadt) and tillage (Göttingen, Quzhou) were evaluated and soil organic carbon fractionation was carried out. The Rothamsted Carbon Model was used for a description and prediction of soil organic carbon dynamics as affected by fertilization and tillage in Bad Lauchstädt and Quzhou. The type of fertilizer added at common rates -either mineral N or farmyard manure -affected the crop yields only slightly, with slightly lower yields after manure application compared with mineral N fertilization. For both fertilization trials, manure applications at common rates had beneficial effects on soil organic carbon stocks in the labile pool (turnover time estimated as <10 years) and to a greater extent in the intermediate pool (turnover time estimated to be in the range of 10 to 100 years). A comparison of the effects of conventional tillage, reduced tillage and no-tillage carried out in Göttingen and Quzhou indicated only small differences in crop yields. Reduced tillage in Göttingen resulted in an increased C storage in the surface soil and C was mainly located in the mineral-associated organic matter fraction and in water-stable macro-aggregates (>0.25 mm). For Quzhou, no-tillage and conventional tillage had similar effects on total C stocks, with a greater spatial variability in soil organic carbon stocks in the no-tillage plots. Modeling required site-specific calibrations for the stock of inert organic matter for each of the sites, indicating that not all carbon stabilization processes are included in the model and that application of a model to a new site may also need site-specific adjustments before it can be used for predictions. After site-specific calibration, however, model predictions for the remaining treatments were generally accurate for the fertilization and tillage trials, which emphasizes the importance of temperature, moisture, soil cover and clay content on the decomposition dynamics of soil organic carbon and the significance of amounts and quality of carbon inputs in the soil for maintaining or increasing soil organic carbon stocks in arable soils.soil organic matter / C dynamics / Rothamsted carbon model / tillage / fertilization / soil organic carbon (SOC)

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Section: Yieldssupporting

confidence: 70%

Effects of fertilization and soil management on crop yields and carbon stabilization in soils. A review

Ludwig

Geisseler

Michel

et al. 2010

Agronomy Sust. Developm.

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“…The quality of fit obtained agrees with that reported by Milesi Delaye et al [1] for the same study region and by Saffih-Hdadi & Mary [36] for different edaphoclimatic and land management conditions, using the same model. In turn, other researchers have reported similar results using other models in different regions [32,[57][58][59].…”

Section: Model Validationsupporting

confidence: 68%

Projection of Soil Organic Carbon Reserves in the Argentine Rolling Pampa Under Different Agronomic Scenarios. Relationship of these Reserves with Some Soil Properties

Irizar¹,

Delaye²,

Andriulo³

2015

TOASJ

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Abstract:The soil organic carbon (SOC) of the Argiudolls of the Argentine Rolling Pampa evolves rapidly. Currently, the soils richest in SOC are cultivated with intensified crop sequences (e.g. maize-double cropped wheat/soybean, MWS) under no tillage (NT) and the poorest ones with soybean monoculture (S) under NT. There are great uncertainties about the future projections of SOC reserves and soil fertility associated with changes in land use and management. The aim of this study was to predict soil fertility in 2032, by: a) validating the simple AMG model in long-term experiments of the Rolling Pampa, b) correlating the SOC and active carbon pools (SOCm and Ca, respectively) modeled for 2008 with some soil properties, and c) simulating the evolution of SOC reserves under different agronomic scenarios, using the AMG model, starting from rich and poor SOC soils of the Rolling Pampa. The AMG model was able to provide satisfactory simulation of the SOC reserves (R 2 = 0.87) and showed good quality of fit between Ca and particulate organic carbon (POC) and SOCm and structural stability index (SSI), indicating that the AMG model could project SOC reserves and soil fertility. In rich SOC soils, the maintenance or increase in mean crop yields (MWS NT and MWS with high yields under NT, MWS opt., respectively) caused no changes, whereas the conversion to S under NT reduced the SOC reserves by 12%. Maize residue removal caused 4.5% SOC loss in MWS NT and no changes in MWS opt. In poor SOC soils, the continuity of S under NT and the conversion to MWS NT produced no changes; the passage to continuous or periodic shallow tillage caused 6% SOC loss; and the conversion to Miscanthus x giganteus produced an increase of 9% in SOC.

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“…The RothC model is a widely used soil organic matter (SOM) decomposition model used to simulate the C dynamics in agricultural soils under various environments and management practices (Smith et al, 2005;Guo et al, 2007;Skjemstad et al, 2004). Recently, Wang et al (2016) evaluated the model's performance in simulating soil C variations using observations from 16 long-term experimental sites across the world's wheat-growing regions.…”

Section: Rothc Model and Its Initializationmentioning

confidence: 99%

“…As one of the most classic and widely used soil C turnover models, the RothC model (Jenkinson et al, 1990), however, requires only a few easily obtainable parameters and input data. The model has been widely and frequently adopted to simulate the soil C changes under different management treatments and soil and climate conditions across the world's cropping systems (Falloon and Smith, 2002;Guo et al, 2007;Yang et al, 2003;Bhattacharyya et al, 2011;Skjemstad et al, 2004;Smith et al, 2005). More recently, by adopting the model's original default parameters, the RothC model has been tested against the measurements obtained from 16 long-term experimental sites across the global croplands and showed a generally good performance in representing the SOC dynamics under different treatments at different sites (Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Modeling soil organic carbon dynamics and their driving factors in the main global cereal cropping systems

et al. 2017

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Abstract. Changes in the soil organic carbon (SOC) stock are determined by the balance between the carbon input from organic materials and the output from the decomposition of soil C. The fate of SOC in cropland soils plays a significant role in both sustainable agricultural production and climate change mitigation. The spatiotemporal changes of soil organic carbon in croplands in response to different carbon (C) input management and environmental conditions across the main global cereal systems were studied using a modeling approach. We also identified the key variables that drive SOC changes at a high spatial resolution (0.1 • × 0.1 • ) and over a long timescale (54 years from 1961 to 2014). A widely used soil C turnover model (RothC) and state-of-the-art databases of soil and climate variables were used in the present study. The model simulations suggested that, on a global average, the cropland SOC density increased at annual rates of 0.22, 0.45 and 0.69 Mg C ha −1 yr −1 under crop residue retention rates of 30, 60 and 90 %, respectively. Increasing the quantity of C input could enhance soil C sequestration or reduce the rate of soil C loss, depending largely on the local soil and climate conditions. Spatially, under a specific crop residue retention rate, relatively higher soil C sinks were found across the central parts of the USA, western Europe, and the northern regions of China. Relatively smaller soil C sinks occurred in the high-latitude regions of both the Northern and Southern hemispheres, and SOC decreased across the equatorial zones of Asia, Africa and America. We found that SOC change was significantly influenced by the crop residue retention rate (linearly positive) and the edaphic variable of initial SOC content (linearly negative). Temperature had weak negative effects, and precipitation had significantly negative impacts on SOC changes. The results can help guide carbon input management practices to effectively mitigate climate change through soil C sequestration in croplands on a global scale.

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Application of the RothC model to the results of long‐term experiments on typical upland soils in northern China

Cited by 72 publications

References 31 publications

Effects of fertilization and soil management on crop yields and carbon stabilization in soils. A review

Effects of fertilization and soil management on crop yields and carbon stabilization in soils. A review

Projection of Soil Organic Carbon Reserves in the Argentine Rolling Pampa Under Different Agronomic Scenarios. Relationship of these Reserves with Some Soil Properties

Modeling soil organic carbon dynamics and their driving factors in the main global cereal cropping systems

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