Estimating soil organic carbon sequestration change with applying modified Rothamsted Carbon model to paddy and upland fields in Japan

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1 Estimating soil organic carbon sequestration change with applying modified Rothamsted Carbon model to paddy and upland fields in Japan Haruo Tanaka a *, Miho Yoshikawa b and Masako Takeuchi c a Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-859, JAPAN, b Tokyo University of Agriculture and Technology, Chemical Grouting Co. Toranomon 2-2-5, Minato-ku, Tokyo 15-1, JAPAN c Tokyo University of Agriculture and Technology, Awa Agriculture and Forestry Promotion Center of Chiba Prefecture Government, Hojyou 2-1, Tateyama-city, Chiba 294-45, JAPAN Tel. & Fax. : +81-423-67-5846 *Corresponding author: haruo@cc.tuat.ac.jp Abstract Sustainability of the soil organic carbon (SOC) sequestration of farms producing the cereals which are raw materials of the biomass ethanol is an important issue. We estimated SOC sequestration change of a paddy field soil (Anthrosols) and an upland field soil (Andosols) in Japan with applying the modified RothC models, and suggested appropriate farming management for sustainable agriculture on the basis of SOC sequestration. In the paddy field experimental plots, at forage rice of plots, of.5-1.2 Mg ha -1 each was required to maintain SOC content. In contrast, only plant s in forage rice of Leaf star plots were sufficient to maintain SOC sequestration. In the upland field experimental plots, considering from the prediction, 2 Mg ha -1 s each at the and plot is sufficient for maintain SOC content. Furthermore, plant was vital source of organic matter for chemical fertilizer plot, and SOC content would decrease 14. Mg-C ha -1 from 27 to 23 if plant is carried out from the field. SOC sequestration under diverse assumed management conditions in Japanese fields is predicted. The modeling tool of RothC would be useful to field management for sustainable agriculture, so it is necessary to consider about the field management with using these modeling tools. Keywords: carbon sequestration, soil organic matter, RothC, farming management, paddy field, upland field 1. Introduction One of the renewable energy resources is biomass, and biomass ethanol is made from cereals such as corn, sugar cane, or rice at farmlands. So, the sustainability of the farmland is important. Sustainability is a critical issue for agriculture in recent s, and satisfying the requirement, environmentally-friendly agriculture is demanded in addition to stable crop production. One of the environmental concerns associated with agricultural activities is the emission of greenhouse gas from fields. The greenhouse gas will discharge when soil organic carbon (SOC) in fields is decomposed and unfavorable farming management would promote that. To prevent the SOC from decomposition, and simultaneously, to enrich the amount of sequestration of SOC in fields, adequate management as, and/or covering fields by plants have been significantly effective. A variety of models for assessing SOC dynamics varied by organic matter input and its decomposition have been developed around the world. Soil organic matter is considered as a mass of organic matter with different decomposition rates. Jenkinson and Rayner suggested that organic matter can be comparted into inert organic matter (IOM) and active organic matter; decomposable plant material (DPM), resistant plant material (RPM), microbial biomass (BIO) and humified organic matter (HUM) [1].

2 DPM Organic Inputs Decay CO 2 RPM IOM BIO HUM Decay CO 2 BIO HUM Decay Fig. 1 Structure of Rothamsted carbon model Each compartment decomposes with its particular decomposition rate. Based on this concept, Rothamsted carbon model (RothC model) which is one of the most popular SOC turnover models was developed [2]. RothC model have been widely utilized in Europe and in the United States, but this model was not sufficiently applicable to Japanese fields. Modifications of RothC model have been performed in recent for a better application to Japanese characteristic fields [3, 4, 5]. Paddy field soils and Andosols which are major field soils in Japan have slow organic matter decomposition rates. The main reason for this is that and reductive environment during cultivation season and abundance of active aluminum holding organic matter strongly, respectively. The modified RothC model for paddy field was set the decomposition rate with.2-fold in irrigated season and.6-fold in other season compared with the original model. For Andosols, a factor H(f) was newly incorporated. The decomposition rate of HUM compartment was calculated by dividing original one by the H(f) and the H(f) was provided by equation related to pyrophosphate extractable aluminum (Al p ); H(f) = 1.2 + 2.5 Alp (%). This study was carried out at a paddy and an upland field in Japan and its characteristics affecting the turnover of SOC was determined. The data were interpreted with the modified RothC models and we suggested appropriate farming management for sustainable agriculture on the basis of organic carbon sequestration. 2. Materials and methods 2.1 Fields explanation The paddy field and upland field in Tokyo University of Agriculture and Technology were utilized for this study. The paddy field is located at 35 N, 139 28 E and in the alluvial plain of the Tama River. The farming management experiment with different rice cultivar, planting density and/or fertilizer application has started since 28. Compost of 28 Mg ha -1 was equally applied to all the plots. The upland field is located at 35 41 N and 139 29 E and the soil is derived from volcanic ash. The field has been managed as a long-term experimental field since 1993. The field had experimental plots with different and/or fertilization and has been grown forage corn or soybean in summer and wheat or ryegrass in winter. Soil samples were taken in May 28 at the paddy field and in August 27 at the upland field. The main soil characteristics of the fields are shown at Table 1.

3 Table 1 Soil characteristics of study fields Field utilization Paddy field Upland field Soil classification Fluvic Hydragric Anthrosols Melanic Silandic Eutrosilic Andosol Cultivated crops forage rice Soil organic carbon Total nitrogen Bulk density Clay content Al p (g kg -1 ) (g kg -1 ) (Mg m -3 ) (kg kg -1 ) (kg kg -1 ) 53.4 4.8.64.342 n.d. soybean 88.5 6..68.356.67 Soil classification was based on IUSS Working Group WRB [6]. Cultivated crops were at the starting time of this study. At the paddy field, soil was sampled from and plot. Tillage and chemical fertilizer plot at the upland field were collected. Both soils were analyzed for other characteristics. Bulk density of the soil taken from the paddy field was determined using soil sample after harvest. Al p represents pyrophosphate extractable aluminum. The n.d. means not detected. 2.2 Parameters for RothC model A set of parameters are required to estimate the SOC turnover by RothC model. The amount of carbon input from plant and compost is given in Table 2. The carbon originated from plant was calculated by its weight and carbon content. Soil covering was defined as vegetated during cultivation season and bare during other season. The data of monthly rainfall and monthly air temperature were referred from published database of Japan Meteorological Agency [6]. At the paddy field, estimation was carried out based on that the management in 28 would be continued in future. On the other hand, at the upland field, measured data was used in 27 and 28 and data standing on the cultivated crops in 29 was used for future estimation.

4 Table 2 Carbon input from plant and compost into each management plot in paddy field and upland field Field Term Cultivated crop Farming management Paddy field 28-242 forage rice () Carbon input Plant Compost (Mg-C ha -1 ) 1.85 4.3 1.76 4.3 adapted fertilization 1.87 4.3 forage rice (Leaf star) 2.3 4.3 3.78 4.3 adapted fertilization 2.82 4.3 no fertilization 1.9 4.3 Upland field 27 soybean and ryegrass 3.61. (from August to 3.26. December) 1.65. 2.37. 28 ryegrass, soybean and wheat 4.63 5.38 4.19 5.38 2.31. 3.22. 29-23 wheat and soybean 4.44 5.38 3.82 5.38 2.69. 3.29. The rotation crops in upland field were changeable and the three types of carbon input were estimated on the bases of cultivated crop. 3. Results and discussion 3.1. Application of modified RothC model to paddy and upland fields in Japan

5 12 1 8 2 25 215 225 235 245 12 1 8 2 25 215 225 235 245 SOC( Mg-C ha -1 ) 12 1 8 2 Leaf star 25 215 225 235 245 12 1 8 2 adapted fertilization 25 215 225 235 245 SOC( Mg-C ha -1 ) 12 1 8 2 12 1 8 2 Leaf star conventional planting densit no fertilization 25 215 225 235 245 Leaf star adapted fertilization SOC( Mg-C ha -1 ) 12 1 8 2 Leaf star 25 215 225 235 245 25 215 225 235 245 Fig. 2 Estimation of soil organic carbon sequestration in the paddy field

6 Figure 2 shows the estimation of SOC sequestration in the paddy field. SOC was calculated to gain at all plots in the paddy field. The differences of estimated SOC between the plots were only influenced by input of plant s due to equal. The forage rice production of Leaf star of plots was highest among the plots, and that caused much plant. That induced the highest prospect of SOC. 12 1 8 2 12 1 8 2 25 215 225 235 245 25 215 225 235 245 12 1 8 2 12 1 8 2 25 215 225 235 245 25 215 225 235 245 Fig. 3 Estimation of soil organic carbon sequestration in the upland field Figure 3 shows the estimation of SOC sequestration in the upland field. Predicting from the modified RothC model, SOC content at plots increased 41.6-42. Mg-C ha -1 by 25. In contrast, SOC content at plots reduced.87-5.17 Mg-C ha -1 by 25. The average content of SOC at compost plots was 3.7 Mg-C ha -1 larger than at chemical fertilizer plots in 27 and the differences among them got greater at 48.6 Mg-C ha -1. Compost application can enrich carbon contents in soils as reported in previous study [8]. Those predictions indicate at the upland field is effective to preserve SOC for long term.

7 3.2 Fields management for environment conservation 12 1 8 2 25 21 215 22 225 23 Mg t ha-1 28 Mg t ha-1 2 Mg t ha-1-1 1 Mg t ha-1-1 12 1 8 2 25 21 215 22 225 23 plant input no plant Fig. 4 Estimation of soil organic carbon sequestration at variable assumed management in the paddy field Figure 4 illustrates SOC turnover of the some presumed management in the paddy field. Average value of SOC content of paddy field of Gray Lowland soil between 1999 and 23 in Japan is 22.8 Mg- kg -1 [9], so the SOC sequestration in this experimental plot was already so high. At plots in the paddy field, compost management of.5-1.2 Mg ha -1 each was required to maintain this high SOC content. In contrast to that, only plant s in Leaf star plots were sufficient. On the other hand, even though plant input didn t occur, SOC was predicted to be maintained with the current.

8 7 5 7 25 21 215 22 225 23 5 25 21 215 22 225 23 4 t ha-1 3 t ha-1 2 t ha-1 1 t ha-1.5 t ha-1 t ha-1 plant input no plant Fig. 5 Estimation of soil organic carbon sequestration at variable assumed management in the upland field Figure 5 illustrates SOC turnover of the some presumed management in the upland field. Average value of SOC content of upland field of Andosols between 1999 and 23 in Japan is 51. Mg- kg -1 [9], so the SOC sequestration in this experimental plot was already high. Considering from the prediction, 2 Mg ha -1 s each at the and chemical fertilizer application plot in the upland field is sufficient for maintain high SOC content. Furthermore, plant was vital source of organic matter for chemical fertilizer plot, and SOC content would decrease 14. Mg-C ha -1 from 27 to 23 if plant is carried out from the field. As noted above, SOC sequestration under diverse assumed management conditions in Japanese fields is predicted by using the modified RothC models. The modeling tool would be useful to field management for sustainable agriculture, so it is necessary to consider about the field management with using these modeling tools. Acknowledgements This study was supported by a research grant from JSPS AA Science Program.

References [1] Jenkinson, D. S., Rayner, J. H., 1977. The turnover of soil organic matter in some of the Rothamsted classical experiments Soil Science, 123, pp.298-35. [2] Coleman, K., Jenkinson, D. S., 1996. RothC-26.3-A model for the turnover of carbon in soil., In Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets, (eds. Powlson, D.S., Smith, P., Smith, J. U., pp.237-246, Springer, Berlin. [3] Shirato, Y., Hakamata, T., Taniyama, I. 24. Modified Rothamsted carbon model for Andosols and its validation: changing humus decomposition rate constant with pyrophosphate-extractable Al, Soil Science and Plant Nutrition, 5, pp.149-158. [4] Shirato, Y., Yokozawa, M., 25. Applying the Rothamsted carbon model for long-term experiments on Japanese paddy soils and modifying it by simple turning of the decomposition rate, Soil Science and Plant Nutrition, 51, pp.5-415. [5] Shirato, Y., 26. Validation and modification of soil organic matter models in arable soils in Japan and Thailand, Bulletin of National Institute for Agro-Environmental Science, 24, pp.23-94. (in Japanese). [6] IUSS Working Group WRB, 27. World Reference Base for Soil Resources 26, first update 27. World Soil Resources Reports No. 13. FAO, Rome. [7] Japan Meteorological Agency, 29. Meteorological statistical information, http://www.jma.go.jp/jma/menu/report.html (in Japanese). [8] Sommerfeldt, T. G.; Chang, C.; Entz, T., 1988. Long-term annual applications increase soil organic matter and nitrogen, and decrease carbon to nitrogen ratio, Soil Science Society of American Journal, 52, pp.1668-1672. [9] Agricultural Production Bureau, Ministry of Agriculture, Forestry and Fisheries 28. Report on the soil conservation investigation Agricultural Production Bureau, MAFF, Japan. 9