Landscape Patterns Changes and Dynamic Simulation of Coastal Tourism Town:A Case Study of Dalian Jinshitan National Tourist Holiday Resort
Based on multi-temporal land use data and remote sensing data,and also using Dalian Jinshitan National Tourist Holiday Resort as an example,through quantitative analysis of landscape ecology and the simulative method of CA-Markov model,this research systematically analyzes evolution characteristics of the landscape pattern in study area from 1998 to 2009,and simulates and predicts the landscape pattern in 2020.The results show that:1) From 1998 to 2009,the main performance of landscape pattern changes is that the area of the tourism landscape increased 2.30 km2,auxiliary tourism landscape area increased 2.22 km2,the tourism landscape area reduced 5.27 km2; 2) The process of landscape pattern change shows that a gradual change from a single type of villagers living to various types which can satisfy the need of tourism' s entertainment,sightseeing,business and other complex landscape.And change areas are mainly distributed in Longshan village,Manjiatan village,Chenjia village and Miaoshang village in southeast,from west to east in the study area.In addition,the priority change type is the "traditional agriculture→artificial entertainment recreation" model.3) After analyzing and testing the availability of CA-Markov model,we get the landscape pattern simulation result of Jinshitan in 2020 that the area increased in artificial entertainment leisure landscape,public infrastructure landscape,traditional industry and resident landscape.By contrast the area of natural biological landscape,traditional agricultural landscape and other landscape decreased.In addition,the area reminded stable of the water landscape and transportation land use landscape.Furthermore distinct areas are mainly concentrated in Longshan village,Manjiatan village,Chenjia village and Miaoshang village in southeast from west to east in the study area.
landscape patternCA-Markov modeldynamic simulationJinshitan National Tourist Holiday ResortDalian
NETL
NSTL
万方数据
维普
