Simulation of soil carbon changes due to land use change in urban areas in China

doi:10.1007/s11783-013-0485-4

Front Envir Sci Eng

0, Vol.

Issue () : 255-266 https://doi.org/10.1007/s11783-013-0485-4

RESEARCH ARTICLE

Simulation of soil carbon changes due to land use change in urban areas in China

Cui HAO¹, Jo SMITH², Jiahua ZHANG³, Weiqing MENG⁴, Hongyuan LI⁵(

)

1. Laboratory for Remote Sensing and Climate Change Information, Chinese Academy of Meteorological Sciences, Beijing 100081, China; 2. School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK; 3. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 4. College of Urban and Environmental Science, Tianjin Normal University, Tianjin 300387, China; 5. College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China

Download: PDF(661 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Land use change can have a strong impact on soil carbon dynamics and carbon stocks in urban areas. Due to rapid urbanization, large areas of land have been paved, and other areas have undergone rapid land use change. Evaluation of the impact of urbanization on carbon dynamics and carbon stock (30 cm) has become an issue of urgent concern. The soil carbon dynamics, due to rapid land use change in Tianjin Binhai New Area of China, have been simulated in this paper using the RothC model. Because this area is saline, a modified version of RothC that includes a salt rate modifier provided more accurate simulations than the original model. The conversion to urban green land was not accurately simulated by either of the models because of the undefined changes in soil and plant conditions. According to the model, changes of arable to grassland resulted in a decline in soil carbon stocks, and changes of grassland to forest and grassland to arable resulted in increased soil carbon stocks in this area. Across the whole area simulated, the total carbon stocks in 2010 had decreased due to land use change by 6.5% from the 1979 value. By 2050, a further decrease of 21.9% is expected according to the 2050 plan for land use and the continuing losses from the soils due to previous land use changes.

Keywords land use change soil carbon RothC urban area

Corresponding Author(s): LI Hongyuan,Email:hongyuan@nankai.edu.cn

Issue Date: 01 April 2013

Cite this article:

Jo SMITH,Jiahua ZHANG,Weiqing MENG, et al. Simulation of soil carbon changes due to land use change in urban areas in China[J]. Front Envir Sci Eng, 0, (): 255-266.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-013-0485-4
https://academic.hep.com.cn/fese/EN/Y0/V/I/255

Fig.1 Location of Tianjin Binhai New Area (data source: national fundamental geographic database)

Tab.1 Land use and soil data of Tianjin Binhai New Area

Tab.2 Land use changes in Tianjin Binhai New Area

Fig.2 Modelled and measured (mean±95% confidence interval) SOC in the 30 cm layers from 5 land use changes, using RothC version 26.3 (dashed lines) and RothC modified as described by Setia et al [17,25] (solid lines). (a) GFCL; (b) GFLO; (c) AGCL; (d) BACC; (e) GALO; (f) GACL; (g) GUGC; (h) GACC

Tab.3 Quantitative evaluation of measured data and model output of model 1 and 2

Fig.3 Areas of land use changes in Tianjin Binhai New Area from 1979 to 2050

Fig.4 C dynamic of Tianjin Binhai New Area from 1980 to 2050

Fig.5 SOC changes due to land use change from 1980 to 2050

Fig.6 CO changes due to land use change

Fig.7 Average decomposition rate of the two models, AGCL is arable to grassland on clay loam, BACC is bare to arable on clay, GALO is grassland to arable on loam, GACL is grassland to arable on clay loam, GACC is grassland to arable on clay, GFLO is grassland to forest on loam, GFCL is grassland to forest on clay loam

Fig.8 Changes of SOC distribution of Tianjin Binhai New Area from 1979 to 2050

Fig.9 Changes of CO distribution of Tianjin Binhai New Area from 1979 to 2050

1	Batjes N H. Total carbon and nitrogen in the soils of the world. European Journal of Soil Science , 1996, 47(2): 151-163 doi: 10.1111/j.1365-2389.1996.tb01386.x
2	Houghton R A, Skole D L. Carbon. In: Turner B L, Clark W C, Kates R W, Richards J F, Mathews J T, Meyer W B, editors. The Earth as Transformed by Human Action . New York: Cambridge University Press, 1990
3	Smith P. Soils as carbon sinks-the global context. Soil Use and Management , 2004, 20(2): 212-218 doi: 10.1079/SUM2004233
4	Smith P. Land use change and soil organic carbon dynamics. Nutrient Cycling in Agroecosystems , 2008, 81(2): 169-178 doi: 10.1007/s10705-007-9138-y
5	Watson R T, Noble I R, Bolin B, Ravindramath N H, Verardo D J, Dokken D J. Land Use, Land-Use Change, and Forestry (A Special Report of the IPCC). Cambridge: Cambridge University Press, 2000
6	IPCC. Climate Change 2001: Working Group I: the Scientific Basis. New York: Cambridge University Press, 2001
7	Houghton R A. Why are estimates of the terrestrial carbon balance so different? Global Change Biology , 2003, 9(4): 500-509 doi: 10.1046/j.1365-2486.2003.00620.x
8	Pouyat R, Groffman P, Yesilonis I, Hernandez L. Soil carbon pools and fluxes in urban ecosystems. Environmental Pollution , 2002, 116(Suppl 1): S107-S118 doi: 10.1016/S0269-7491(01)00263-9 pmid:11833898
9	Jenkinson D S, Adams D E, Wild A. Model estimates of CO₂ emissions from soil in response to global warming. Nature , 1991, 351(6324): 304-306 doi: 10.1038/351304a0
10	Parton W J, Scurlock J M O, Ojima D S, Gilmanov T G, Scholes R J, Schimel D S, Kirchner T, Menaut J C, Seastedt T, Garcia Moya E, Kamnalrut A, Kinyamario J I. Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochemical Cycles , 1993, 7(4): 785-809 doi: 10.1029/93GB02042
11	Falloon P, Smith P, Szabó J, Pásztor L. Comparison of approaches for estimating carbon sequestration at the regional scale. Soil Use and Management , 2002, 18(3): 164-174 doi: 10.1111/j.1475-2743.2002.tb00236.x
12	Shirato Y, Yokozawa M. Applying the Rothamsted carbon model for long-term experiments on Japanese paddy soils and modifying it by simple tuning of the decomposition rate. Soil Science & Plant Nutrition , 2005, 51(3): 405-415 doi: 10.1111/j.1747-0765.2005.tb00046.x
13	Gupta R, Abrol I. Salt-affected soils: their reclamation and management for crop production. Advances in Soil Science , 1990, 15(11): 223-288 doi: 10.1007/978-1-4612-3322-0_7
14	Szabolcs I. Soils and salinaizatio. In: Pessarakli M, ed. Handbook of Plant and Crop Stress . New York: Marcel Dekker, 1993
15	National Soil Survey Office. Chinese Soil Genus Records (Vol. 3). Beijing: China Agriculture Press, 1995
16	Powlson D S, SmithP, Smith J U. Evaluation of soil organic matter models using existing long-term datasets. In Coleman K, Jenkinson DS, eds. RothC-26.3-A Model for the Turnover of Carbon in Soil. Michigan: Springer-Verlag , 1996
17	Setia R, Smith P, Marschner P, Baldock J, Chittleborough D, Smith J. Introducing a decomposition rate modifier in the Rothamsted carbon model to predict soil organic carbon stocks in saline soils. Environmental Science & Technology , 2011, 45(15): 6396-6403 doi: 10.1021/es200515d pmid:21671665
18	FAO. FAO-Unesco Soil Map of the World. Vol 1. Legend . Paris: Unesco, 1974
19	Tang T G. The Coastal Halophilous Plants of Tianjin. Beijing: China Forestry Press, 2007 (in Chinese)
20	Xu N, Gao D M. Wetlands of Tianjin. Tianjin: Tianjin Scientific and Technology Press, 2008 (in Chinese)
21	Nelson D W, Sommers L E. Total carbon, organic carbon, and organic matter. In: Page A L, ed. Methods of Soil Analysis . Part 2. 2nd ed. Madison: ASA and SSSA, 1982
22	Falloon P, Smith P, Coleman K, Marshal S. Estimating the size of the inert organic matter pool from total soil organic carbon content for use in the Rothamsted carbon model. Soil Biology & Biochemistry , 1998, 30(8-9): 1207-1211 doi: 10.1016/S0038-0717(97)00256-3
23	Nieto O M, Castro J, Fernández E, Smith P. Simulation of soil organic carbon stocks in a Mediterranean olive grove under different soil-management systems using the RothC model. Soil Use and Management , 2010, 26(2): 118-125 doi: 10.1111/j.1475-2743.2010.00265.x
24	Ludwig B, Hu K, Niu L, Liu X J. Modelling the dynamics of organic carbon in fertilization and tillage experiments in the North China Plain using the Rothamsted carbon model—initialization and calculation of C inputs. Plant and Soil , 2010, 332(1-2): 193-206 doi: 10.1007/s11104-010-0285-6
25	Setia R, Marschner P, Baldock J, Chittleborough D, Smith P, Smith J. Salinity effects on carbon mineralization in soils of varying texture. Soil Biology and Biochemistry , 2011, 43(9): 1908-1916 doi: 10.1016/j.soilbio.2011.05.013
26	Smith J, Smith P, Addiscott T. Quantitative methods to evaluate and compare soil organic matter (SOM) models. In: Powlson DS, Smith P, Smith JU, eds. Evaluation of Soil Organic Matter Models—Using Existing Long-Term Datasets . Heidelberg: Springer, 1996
27	Smith P, Smith J U, Powlson D S, McGill W B, Arah J R M, Chertov O G, Coleman K, Franko U, Frolking S, Jenkinson D S, Jensen L S, Kelly R H, Klein-Gunnewiek H, Komarov A S, Li C, Molina J A E, Mueller T, Parton W J, Thornley J H M, Whitmore A P. A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma , 1997, 81(1-2): 153-225 doi: 10.1016/S0016-7061(97)00087-6
28	Smith J, Smith P, Wattenbach M, Zaehle S, Hiederer R, Jones R J A, Montanarella L, Rounsevell M D A, Reginster I, Ewert F. Projected changes in mineral soil carbon of European croplands and grasslands, 1990-2080. Global Change Biology , 2005, 11(12): 2141-2152 doi: 10.1111/j.1365-2486.2005.001075.x
29	Liu L M, Shi F C, Yu J. Study on the estimation and application of wild plants in seashore area of Tianjin. Chinese Landscape Architecture , 2011, 12(10): 70-73 (in Chinese)
30	Mann L K. Changes in soil carbon storage after cultivation. Soil Science , 1986, 142(5): 279-288 doi: 10.1097/00010694-198611000-00006
31	Davidson E, Ackerman I. Changes in soil carbon inventories following cultivation of previously untilled soils. Biogeochemistry , 1993, 20(3): 161-193 doi: 10.1007/BF00000786
32	Smith P, Powlson D S, Smith J U, Falloon P, Coleman K. Meeting Europe’s climate change commitments: quantitative estimates of the potential for carbon mitigation by agriculture. Global Change Biology , 2000, 6(5): 525-539 doi: 10.1046/j.1365-2486.2000.00331.x
33	Lal R. Residue management, conservation tillage and soil restoration for mitigating greenhouse effect by CO₂-enrichment. Soil & Tillage Research , 1997, 43(1-2): 81-107 doi: 10.1016/S0167-1987(97)00036-6
34	Liu D L, Chan K Y, Conyers M K. Simulation of soil organic carbon under different tillage and stubble management practices using the Rothamsted carbon model. Soil & Tillage Research , 2009, 104(1): 65-73 doi: 10.1016/j.still.2008.12.011

[1]	Jiutan Liu, Kexin Lou, Zongjun Gao, Menghan Tan. Hydrochemical insights on the signatures and genesis of water resources in a high-altitude city on the Qinghai-Xizang Plateau, South-west China[J]. Front. Environ. Sci. Eng., 2024, 18(7): 88-.

Viewed

Full text

Abstract

Cited

Shared

Discussed