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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 875817, 8 pages
Research Article

Simulating the Range Expansion of Spartina alterniflora in Ecological Engineering through Constrained Cellular Automata Model and GIS

1Department of Marine Information Technology, Shanghai Ocean University, No. 999 Huchenghuan Road, Shanghai 201306, China
2State Key Laboratory of Estuarine and Coastal Research, East China Normal University, No. 3663 Zhongshan North Road, Shanghai 200062, China

Received 29 August 2014; Accepted 22 September 2014

Academic Editor: Kim M. Liew

Copyright © 2015 Zongsheng Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Environmental factors play an important role in the range expansion of Spartina alterniflora in estuarine salt marshes. CA models focusing on neighbor effect often failed to account for the influence of environmental factors. This paper proposed a CCA model that enhanced CA model by integrating constrain factors of tidal elevation, vegetation density, vegetation classification, and tidal channels in Chongming Dongtan wetland, China. Meanwhile, a positive feedback loop between vegetation and sedimentation was also considered in CCA model through altering the tidal accretion rate in different vegetation communities. After being validated and calibrated, the CCA model is more accurate than the CA model only taking account of neighbor effect. By overlaying remote sensing classification and the simulation results, the average accuracy increases to 80.75% comparing with the previous CA model. Through the scenarios simulation, the future of Spartina alterniflora expansion was analyzed. CCA model provides a new technical idea and method for salt marsh species expansion and control strategies research.