基于CO-CA的海岸带盐沼植被动态扩散模型研究

Study of Salt Marsh Vegetation Spread Dynamics Model Based on Conditions Optimized CA

分析了元胞自动机的基本特点和应用局限性,立足于上海市九段沙的典型盐沼植被特点,结合遥感图像处理、计算机视觉以及随机理论模型等,将滩涂植被的生境信息如高程信息、土壤盐碱度以及各种滩涂植被的扩散速度等信息作为优化条件,设计并实现了条件优化的元胞自动机模型(CO-CA)。实验结果表明,该模型能够宏观地模拟滩涂植被的动态过程,同时克服了标准元胞自动机在生态动态模拟过程中的盲目性。

The characteristics of the cellular automata were analyzed in this paper. Conclusions show that it is necessary for CA model to be extended geographically under varying conditions of space-time circumstance. Several new conditions are introduced to conventional CA, such as elevations, growth speeds, invading abilities, variation and inheriting, and so on. The conditions optimized CA was realized. The results indicate that the model can simulate the salt marsh vegetable changing objectively and can overcome CA＇s shortcoming.