Global change in climate might have potential effect on both SOC stock and carbon sequestration capacity in soil. Predicting soil carbon stock in future climate scenarios is crucial for implementation of adaptation methods to mitigate influence of climate change. In the current study, multiple linear regression analysis was performed to determine relationship between climatic variables and soil carbon stock under land use types. To project the impact of climate change on SOC stock, we applied CarboSOIL model. Baseline and future climate data are acquired using spatial analyst tool in ArcGIS. Three global circulation models of fifth phase of the coupled model intercomparison project driven by four representative concentration pathway scenarios were selected for projecting future climate data. Time periods selected were baseline (1970–2000), 2050 (2041–2060) and 2070 (2061–2080). Six land use classes were obtained, i.e. dry deciduous forest, tropical thorn forest, scrubland, cropland, plantation and fallow land from analysis of satellite images.
Regression analysis revealed that the temperature has significant influence on the variation of SOC stock under all land use types. Under dry deciduous forest and plantation, there is no significant influence of rainfall variable, whereas under other land use pattern, there is significant influence on SOC stock. Predicted vs. actual soil value showed that overall regression model was significant under all land use types. Altogether, findings from CarboSOIL model indicate that the future climate change will have an adverse impact on SOC stock in 0–30 cm of soil depth.
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Various software applied for the study i.e. SPSS software for statistical analysis, CarboSOIL model for determing effect of climate change on SOCand ArcGIS for analysis of land use change.
Aguilera, E., Lassaletta, L., Gattinger, A., & Gimeno, B. S. (2013). Managing soil carbon for climate change mitigation and adaptation in Mediterranean cropping systems: a meta-analysis. Agriculture, Ecosystems & Environment, 168, 25–36.
Allchin, B., & Goudie, A. (1974). Pushkar: prehistory and climatic change in western India. World Archaeology, 5(3), 358–368.
Allison, L. E. (1975). Organic carbon. In C. A. Black (Ed.), Methods of soil analysis (pp. 1367–1378). American Society of Agronomy.
Blake, G. R., Harte, K. H. (1986). Bulk density. In A. Klute (Ed.), Methods of soil analysis part 1. Physical and mineralogical methods-Agronomy Monograph (pp. 363–375). 2nd edn. Madison, Wisconsin USA: American Society of Agronomy-Soil Science Society of America.
Bremner, J. M., Mulvaney, C. S. (1982). Nitrogen-total. In A.L. Page (Ed.), Methods of soil analysis, part 2. Chemical and microbiological properties Agronomy Monograph (pp. 595–624). vol. 9, 2nd ed. Madison, Wisconsin USA: American Society of Agronomy-Soil Science Society of America.
Brevik, E. C. (2012). Soils and Climate Change: Gas Fluxes and Soil Processes. Soil Horizons, 10(21), 04–12.
Carey, C. J., Weverka, J., DiGaudio, R., Gardali, T., & Porzig, E. L. (2020). Exploring variability in rangeland soil organic carbon stocks across California (USA) using a voluntary monitoring network. Geoderma Regional, 22, e00304.
Cerdà, A. (1998). Relationships between climate and soil hydrological and erosional characteristics along climatic gradients in Mediterranean limestone areas. Geomorphology, 25, 123–134.
Cetin, M. (2015a). Determining the bioclimatic comfort in Kastamonu City. Environmental Monitoring and Assessment, 187(10), 640.
Cetin, M. (2015b). Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. International Journal of Sustainable Development & World Ecology, 22(5), 420–424.
Cetin, M. (2016a). Sustainability of urban coastal area management: a case study on Cide. Journal of Sustainable Forestry, 35(7), 527–541.
Cetin, M. (2016b). Determination of bioclimatic comfort areas in landscape planning: a case study of Cide coastline. Turkish Journal of Agriculture-Food Science and Technology, 4(9), 800–804.
Cetin, M. (2019). The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city. Air Quality, Atmosphere & Health, 12(10), 1237–1249. https://doi.org/10.1007/s11869-019-00742-4
Cetin, M. (2020). Climate comfort depending on different altitudes and land use in the urban areas in Kahramanmaras city. Air Quality, Atmosphere & Health, 13(8), 991–999. https://doi.org/10.1007/s11869-020-00858-y
Christensen, O. B., Goodess, C. M., Harris, I., & Watkiss, P. (2011). European and global climate change projections: discussion of climate change model outputs, scenarios and uncertainty in the EC RTD climate cost project. The Climate Cost Project, Final Report, 1, 1–36.
Coleman, K., & Jenkinson, D. S. (1999). ROTHC-26.3. A model for the turnover of carbon in soil. Evaluation of soil organic matter models using existing, long-term datasets (pp. 237–246). Heidelberg: Springer.
Datta, P. S., Bhattacharya, S. K., Mookerjee, P., & Tyagi, S. K. (1994). Study of groundwater occurrence and mixing in Pushkar (Ajmer) valley, Rajasthan with hydrochemical data. Journal of Geological Society of India, 43, 446–456.
Doblas-Miranda, E., Rovira, P., Brotons, L., Martínez-Vilalta, J., Retana, J., Pla, M., & Vayreda, J. (2013). Soil carbon stocks and their variability across the forests, shrublands and grasslands of peninsular Spain. Biogeosciences, 10, 8353–8361.
Falloon, P., & Smith, P. (2003). Accounting for changes in soil carbon under the Kyoto protocol: need for improved long-term data sets to reduce uncertainty in model projections. Soil Use Management, 19, 265–269.
Gorissen, A., Tietema, A., Joosten, N. N., Estiarte, M., Peñuelas, J., Sowerby, A., Emmett, B. A., & Beier, C. (2004). Climate change affects carbon allocation to the soil in shrublands. Ecosystems, 7, 650–661.
Grace, P. R., Colunga-Garcia, M., Gage, S. H., Robertson, G. P., & Safir, G. R. (2006). The potential impact of agricultural management and climate change on soil organic carbon of the north central region of the United States. Ecosystems, 9, 816–827.
Gungor, S. (2019). Evaluation of thermal climatic region areas in terms of building density in urban management and planning for Burdur Turkey. Air Quality Atmosphere & Health, 12(9), 1103–1112. https://doi.org/10.1007/s11869-019-00727-3
IPCC 2007. Summary for Policymakers. In S. Solomon., D. Qin., M. Manning., Z. Chen., M. Marquis., K.B. Averyt., M. Tignor., H.L. Miller (Ed.), Climate Change 2007: The Physical Science Basis; Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. (pp. 1–18). Cambridge University Press, Cambridge, UK.
Janssens, I. A., Freibauer, A., Schlamadinger, B., Ceulemans, R., Ciais, P., Dolman, A. J., Heimann, M., Nabuurs, G. J., Smith, P., Valentini, R., & Schulze, E. D. (2005). The carbon budget of terrestrial ecosystems at country-scale: a European case study. Biogeosciences, 2, 15–26. https://doi.org/10.5194/bg-2-15-2005
Jobbágy, E. G., & Jackson, R. B. (2000). The vertical distribution of soil carbon and its relation to climate and vegetation. Ecological Applications, 10, 423–436.
Jones, C., McConnell, C., Coleman, K., Cox, P., Falloon, P., Jenkinson, D., & Powlson, D. (2005). Global climate change and soil carbon stocks: predictions from two contrasting models for the turnover of organic carbon in soil. Global Change Biology, 11, 154–166.
Lucht, W., Schaphoff, S., Erbrecht, T., Heyder, U., & Cramer, W. (2006). Terrestrial vegetation redistribution and carbon balance under climate change. Carbon Balance and Management, 1, 1–7.
Mitchell, T. D., Carter, T. R., Jones, P. D., Hulme, M., & New, M. (2004). A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: the observed record (1901–2000) and 16 scenarios (2001–2100). Tyndall Centre for Climate Change Research, University of East Anglia, 55, 25.
Muñoz-Rojas, M., Doro, L., Ledda, L., & Rosa Francaviglia, R. (2015). Application of CarboSOIL model to predict the effects of climate change on soil organic carbon stocks in agro-silvo pastoral Mediterranean management systems. Agriculture Ecosystems & Environment, 202, 8–16.
Muñoz-Rojas, M., Jordán, A., Zavala, L. M., De la Rosa, D., Abd- Elmabod, S. K., & Anaya-Romero, M. (2012). Organic carbon stocks in Mediterranean soil types under different land uses (Southern Spain). Solid Earth, 3, 375–386.
Parton, W. J., Schimel, D. S., Cole, C. V., & Ojima, D. S. (1987). Analysis of factors controlling soil organic matter levels in great plains grasslands. Soil Science Society of America Journal, 51, 1173–1179.
Paustian, K., Elliott, E. T., & Killian, K. (1997). Modeling soil carbon in relation to management and climate change in some agroecosystems in central North America. In R. Lal, J. M. Kimble, R. F. Follett, & B. A. Stewart (Eds.), Soil processes and the carbon cycle (pp. 459–471). CRC Press.
ShSharma, G., Sharma, L. K., Sharma, K. C. (2019). Assessment of Land use change dynamics and its effect on soil carbon stock using multi-temporal satellite data in the semiarid region of Rajasthan, India. Ecological Process, 8(42)
Smith, J., Smith, P., Wattenbach, M., Zaehle, S., Hiederer, R., Jones, R. J. A., Montanarella, L., Rounsevell, M. D. A., Reginster, I., & Ewert, F. (2005). Projected changes in mineral soil carbon of European croplands and grasslands, 1990–2080. Global Change Biology, 11, 2141–2152.
Thomas, G.W. (1982). Exchangeable cations. In A.L. Page (Ed.), Methods of soil analysis, part 2. Chemical and microbiological properties Agronomy Monograph (pp159–165) vol. 9, 2nd ed., Madison, Wisconsin USA: American Society of Agronomy -Soil Science Society of America.
Thomson, A. M., Izaurralde, R. C., Rosenberg, N. J., & He, X. (2006). Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China. Agriculture, Ecosystems & Environment, 114, 195–209.
Wairiu, M., & Lal, R. (2003). Soil organic carbon in relation to cultivation and topsoil removal on sloping lands of Kolombangara, Solomon Islands. Soil & Tillage Research, 70, 19–27.
Wan, Y., Lin, E., Xiong, W., Li, Y., & Guo, L. (2011). Modeling the impact of climate change on soil organic carbon stock in upland soils in the 21st century in China. Agriculture, Ecosystems & Environment, 141, 23–31.
Yao, X., Yu, K., Deng, Y., Liu, J., & Lai, Z. (2020). Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China. Journal of Forestry Research, 31, 2385–2394.
Non-JRF fellowship provided by Central University of Rajasthan.
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Sharma, G., Sharma, L.K. Climate change effect on soil carbon stock in different land use types in eastern Rajasthan, India. Environ Dev Sustain 24, 4942–4962 (2022). https://doi.org/10.1007/s10668-021-01641-4