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Tourism Landscape Ecosystem Pattern Optimization On GIS And RS In Xinjin County

Posted on:2013-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:N Q XiFull Text:PDF
GTID:2230330395478767Subject:Forest management
Abstract/Summary:PDF Full Text Request
The study scope covers the whole Xinjin County, data sources include Landsat7ETM+of2000, Landsat7ETM+of2003, Landsat5TM of2007, and1:10000Digital topographic map. Classify and evaluate tourism resources according to field investigation, combine with the eco-tourism conceptual planning and multispectral remote sensing interpretation data, make clear the patch types of Xinjin tourism landscape ecosystem. Make use of ARC GIS、FRAGSTAS to analysis tourism landscape ecosystem Pattern change of Xinjin County. Besides the study focuses on Xinjin’s ecological footprint pressure space analysis and eco-tourism corridor system building, at last comes out an optimization result, which might be meaningful to develop eco-tourism in Xinjin. The main study results are as follow.1. The landscape pattern character s of Xinjin are:high vegetation cover rate, high farmland amount, relatively bigger average patch area, abundant water resource. Human activity is a key driver of landscape pattern change. During2000to2007, construction land and garden plot areas increased, forest land and farm land and water area decreased. Different types of patches have fragmentation trends, among those, forest land and construction land have the most dramatic fragmentation trends. During2000to2007, tourism landscape shape index of Xinjin had downward trend, neighboring tourism landscape similarity had upward trend, tourism landscape patch condensation had upward trend, tourism landscape division index and isolation index had downward trends, the Shannon diversity index and Shannon uniformity index all had downward trends. During2000to2007, the stability of landscape pattern of Xinjin.had downward trend. 2. According to the traditional ecological footprint model, establish biological resources account and non-living resources account and industrial account separately for calculating. The results indicate ecological footprint demand per capita of2007of Xinjin is3.79432920hm2.Make use of land use interpretation data, calculate that ecological footprint supply per capita of2007is0.13534752hm2, ecological footprint deficit per capita of2007is3.65898168hm2.Mutiply ecological footprint occupancy per capita raster data by population grid data of Xinjin, formatting thematic maps about Xinjin’s ecological footprint pressure space.3. Based on ecological footprint pressure levels, assign60percent weights to the ecological responsibility which caused by tourists moved between tourism landscape units as grid resistance value. Based on tourism evaluation results, Xinjin’s tourism landscape attraction force rank is as follows:river landscape> humanism landscape> forest landscape> garden plot landscape> farmland landscape, thus assign40percent weights to the repulsive force which caused by attraction force as another grid resistance value. Use space analysis function of ARC GIS9.3, formatting thematic map.4. Make use of cumulative cost distance model, formatting thematic maps. At last see ecological tourists’behavior as a spatial process, formatting thematic map about ecological tourism corridor system of Xinjin, on the meanwhile attain an optimization solution of ecological tourism landscape pattern of Xinjin.5、To reflect the advantageous characters of eco-tourism resource of Xinjin, realize the sustainable development of tourism landscape ecosystem and tourism industry. By performing a comprehensive analysis of space and quantity pattern of main tourism landscape node, divide the eco-tourism corridors of Xinjin into3types,2main threads,2main areas. When doing some special planning, like Eco-tourism Planning, Forestry Industry Planning, we can make full use of such pattern characters, and combine with certain planning requirements to make functional subareas.
Keywords/Search Tags:Tourism Landscape Ecosystem, Pattern Optimization, Remote SensingInterpretation, Ecological Footprint Pressure Space, Ecotourism Corridor
PDF Full Text Request
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