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The Study And Space Differentiation Research On Intensive Use Of Agricultural Land In Houma

Posted on:2012-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2189330332488936Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
With the development of industrialization and urbanization, population growth and reduce of agricultural land will become an irreversible trend. Our people to be less, a serious shortage of reserve resources, in this situation the country's food security will become even more severe. Therefore, agricultural land is to enhance of output, and go the route of intensive use of agricultural land.(1)A study has been based on intensive use of agricultural land combined with the scientific content, construct the index system of intensive use of agricultural land, the degree of decomposition of agricultural land intensive use of input intensity of agricultural land, agricultural land use intensity, agricultural real estate intensity and agricultural land out of the four components of sustainable situation, comprehensive coverage of the social, economic, ecological environmental aspects of the content.?(2) Houma intensive use of agricultural land to evaluate the situation, the use of AHP to determine weights, calculated using an integrated index of all administrative villages under the jurisdiction of Houma City of agricultural land intensive utilization degree, Houma level of intensive use of agricultural land is divided into three levels. The results show that intensive use of agricultural land Houma level of obvious regional differences, intensive use of agricultural land plains composite index was significantly higher than the mountains and piedmont plains, mountains bound by natural conditions, agricultural Intensive utilization should be actively improved.(3)Agricultural land intensive use of spatial pattern, intensive use of agricultural land spatial distribution; intensive and high plains to find several center, convenient for the typical analysis provides for the future. Explore the intensity of spatial autocorrelation and local spatial autocorrelation to identify the distribution of intensity.
Keywords/Search Tags:Intensive use of Agricultural Land, Space differentiation, Houma, ARCGIS, GeoDA
PDF Full Text Request
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