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Research In Landscape Pattern And The Dynamics Of Urban Forest In Wuhan

Posted on:2010-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:H LiFull Text:PDF
GTID:2143360302955342Subject:Garden Plants and Ornamental Horticulture
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This research mainly use the TM image data in 1987, inl996, in 2007 as the information source. use the decision tree classification method to classify the Wuhan city. And then use the landscape analysis software and landscape ecology theory to analysis the different elements of Wuhan city and the urban forest landscape of Wuhan . At the same time, use the landscape index and the different scale urban forest patch to analysis the landscape pattern of urban forest in different administrative district, and then from the main urban and suburban area to analysis the urban forest landscape pattern.The results demonstrated that: (1)The area of different landscape has changed from 1987 to 2007.The area of urban forest is 4.7% in 1987,and raise to 12.2% until 2007; the area of construction land is 4% in 1987,and raise to 11.4% until 2007;the area of farmland is 58.7% in 1987,and reduced to 42.1% until 2007;the area of water is 21.4% in 1987,and reduce to 18.2% until 2007. The mean patch area of farmland and water are reduced, and the mean patch area of urban forest are increased.(2)The patch density of urban forest is largest during 1987-2007, the next is construction land. The two types of landscape is serious. The patch density of Wuhan city is increased, through analysis the landscape transfer matrix, we can see that urban forest derive from farmland , water and grass land, and the conversion area of grass land is largest.(3)The urban forest of Wuhan city has the large number of small and middle patch. Small patch of urban forest is 41.3% in 1987, and reduce to 34.9% until 2007.The middle patch of urban forest's proportion remain stable, and the large patch of urban forest's proportion is increased.(4)The change of different district of urban forest is different. The urban forest of Wuhan is mainly distributed in Huangpi, Jiangxia and Xinzhou, The area of Huangpi is largest. Patch density of this three district is increased in the 30 years, and the patch density of Xinzhou is highest. From the patch scale, we can see that the number of small patch urban forest's ratio of Caidian, Xinzhou is decline, the number of middle patch urban forest's ratio remain stable, and the number of large patch urban forest's ratio is increased. And from 1987 to 2007, the number of small patch urban forest's ratio is declined, the number of large urban forest's ratio is increased; and from 1996 to 2007, the number of small patch urban forest is increased, the number of large patch urban forest is declined.(5)The difference between the mean patch area in the suburbs and the main urban is small. The shape index of suburban urban forest is higher, and it has the complexity border. The number of small patch urban forest's ratio is declined in suburbs and main urban from 1987 to 2007,but the number of small patch urban forest' ratio in suburb is higher.
Keywords/Search Tags:Wuhan city, remote sensing images, urban forest, landscape pattern, dynamic analyst
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