Articles | Volume 9, issue 3
Solid Earth, 9, 735–744, 2018
Solid Earth, 9, 735–744, 2018

Research article 11 Jun 2018

Research article | 11 Jun 2018

Simulating carbon sequestration using cellular automata and land use assessment for Karaj, Iran

Ali Khatibi et al.

Related subject area

Subject area: The evolving Earth surface | Editorial team: Critical zone science | Discipline: Soil science
Soil erodibility and its influencing factors on the Loess Plateau of China: a case study in the Ansai watershed
Wenwu Zhao, Hui Wei, Lizhi Jia, Stefani Daryanto, Xiao Zhang, and Yanxu Liu
Solid Earth, 9, 1507–1516,,, 2018
Short summary
Stability of soil organic matter in Cryosols of the maritime Antarctic: insights from 13C NMR and electron spin resonance spectroscopy
Evgeny Abakumov and Ivan Alekseev
Solid Earth, 9, 1329–1339,,, 2018
Influence of slope aspect on the microbial properties of rhizospheric and non-rhizospheric soils on the Loess Plateau, China
Ze Min Ai, Jiao Yang Zhang, Hong Fei Liu, Sha Xue, and Guo Bin Liu
Solid Earth, 9, 1157–1168,,, 2018
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Assessment of soil erosion vulnerability in the heavily populated and ecologically fragile communities in Motozintla de Mendoza, Chiapas, Mexico
Selene B. González-Morales, Alex Mayer, and Neptalí Ramírez-Marcial
Solid Earth, 9, 745–757,,, 2018
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Polycyclic aromatic hydrocarbon in urban soils of an Eastern European megalopolis: distribution, source identification and cancer risk evaluation
George Shamilishvily, Evgeny Abakumov, and Dmitriy Gabov
Solid Earth, 9, 669–682,,, 2018

Cited articles

Al-Ahmadi, K., See, L., Heppenstall, A., and Hogg, J.: Calibration of a fuzzy cellular automata model of residential dynamics in Saudi Arabia, Ecol. Complex., 6, 80–101, 2008.
Al-Ghamdi, K. A.: Modeling Spatial Dynamics Changes with Cellular Automata, The 7th National GIS Symposium 29 April–1 May, 1–7, 2012.
Allison, L. E.: Organic Carbon, in: Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, edited by: Black, C. A., Evans, D. D., White, J. L., Ensminger, L. E., and Clark, F. E., Madison: American Society of Agronomy, p. 1367, 1965.
Anderson, R. J., Hardy, E. E., Roach, J. T., and Witmer, R. E.: A Land Use and Land Cover Classification System for Use with Remote Sensor Data, Washington, 964 pp., 1976.
Barredo, J. I., Kasanko, N., McCormick, M., and Lavalle, C.: Modelling dynamic spatial process: simulation of residential future scenarios through cellular automata, Landscape and Residential Planning, 64, 145–160, 2003.
Short summary
The speed of land use changes is much higher than in the past, which led to many changes in the environment and ecological processes. These changes cause some changes in the climate, the amount of pollution and biodiversity. Monitoring and modeling historical situation of the region can be used to anticipate the negative effects of these changes in order to protect resources. Agriculture class will be faced with a huge reduction of carbon sequestration because of expansion of residential areas.