The salt marsh vegetation dynamics analysis with GeoCA-wetland-landscape

This paper proposes a GeoCA-wetland-landscape model to analyses the wetland vegetation dynamics. In this model, image pixel acts as CA cell, whose size is decided by spatial resolution of image or sampling during image processing, whose status just is classification codes, and each cell has 8-neighborhood. The transform rule, in fact, is central part of the model. It is integrated by Monte Carlo, probability theory and landscape features of wetland in this paper. Moreover, the model related to the following nature variables of salt marsh vegetation: generation and variation ability, invade ability, living circumstance, fade and death factors and so on. Translation speed is limited by the growing speed of the three kinds of vegetations. Simulation and prediction results based on GeoCA-wetland-Landscape model show good agreements with the analytical results, validating accuracy of the model.