Ecological risk assessment of genetically modified crops based on cellular automata modeling.
The assessment of ecological risk in genetically modified (GM) biological systems is critically important for decision-making and public acceptance. Cellular automata (CA) provide a potential modeling and simulation framework for representing relationships and interspecies interactions both temporally and spatially. In this paper, a simple subsystem contains only four species: crop, target pest, non-target pest and enemy insect, and a three layer arrangement of LxL stochastic cellular automata with a periodic boundary were established. The simulation of this simplified system showed abundant and sufficient complexity in population assembly and densities, suggesting a prospective application in ecological risk assessment of GM crops.
Yang
Jun
J
Department of Bioscience and Biotechnology, Dalian University of Technology, Linggong Road No.2, Dalian, 116024, PR China; School of Management, Dalian University of Technology, Linggong Road No.2, Dalian, 116024, PR China.
Wang
Zhi-Rui
ZR
Department of Applied Mathematics, Dalian University of Technology, Linggong Road No.2, Dalian,116024, PR China.
Yang
De-Li
DL
School of Management, Dalian University of Technology, Linggong Road No.2, Dalian, 116024, PR China.
Yang
Qing
Q
Department of Bioscience and Biotechnology, Dalian University of Technology, Linggong Road No.2, Dalian, 116024, PR China.
Yan
Jun
J
Department of Bioscience and Biotechnology, Dalian University of Technology, Linggong Road No.2, Dalian, 116024, PR China.
He
Ming-Feng
MF
Department of Applied Mathematics, Dalian University of Technology, Linggong Road No.2, Dalian,116024, PR China. Electronic address: mfhe@dlut.edu.cn.
D018556:Crops, Agricultural / Q000235:genetics*; D004463:Ecology; D008954:Models, Biological; D030821:Plants, Genetically Modified; D018570:Risk Assessment