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Coupling Research Of Cultivated Land Quality And Landscape Pattern

Posted on:2016-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q LiFull Text:PDF
GTID:2180330461486532Subject:Land Use Management and Evaluation
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Cultivated land is the most essential resource and condition to guarantee the survival and development of mankind, it is one of the most important part of land resources. In recent years, the contradiction between urbanization and rural land is sharpened,Urban development has occupied a large number of high quality cultivated land in the countryside,which caused the amount of cultivated land continue to decrease, and the quality continues to decline. The quantity reduction of cultivated land is tangible, while the quality decline of it is implicit, more stable and much difficult to recovery in short-term, its adverse effects is not inferior to, but even more than the quantity reduction of cultivated land. Therefore, it has important practical significance to find out the existing situation of cultivated land’s quantity, quality and ensure the quantity of it, then seek to make the quality improved and further enhance the grain production capacity though cultivated land consolidation and other means.This paper takes Puyang Town of Dujiangyan City as a study area,firstly combined the data of the Second National Land Survey and the classification and gradation of agricultural land of Pu Yang town in 2006, adopted the supplement and update data in 2010, evaluated the quality of cultivated land of research area in 2010. Next used the Patch Analyst Plug-in unit of ARCGIS10.1 to select 8 landscape metrics indices including the number of patches of cultivated land, patch area and so on, analyzed the cultivated land landscape pattern of Pu Yang town under the influence of elevation, rivers, roads, residential areas. Lastly characterized the quality of cultivated land with the natural quality index,combined 5 cultivated land landscape pattern indices including the number of patches, the percentage of landscape, used spatial autocorrelation analysis, correlation analysis, qualitative and quantitative analysis methods to analyses the coupling of cultivated land quality and its landscape indices, provided some references to protect the cultivated land and improve its quality through change its landscape pattern.(1) The national natural quality degree of cultivated land of Puyang town distributed in degree 9-11,the national use degree distributed in degree 8-10 and the national economic degree distributed in degree 7-10. The quality of cultivated land of Puyang town was in the medium-inferior level of the 15 national division grades. Compared with 2006, the cultivated area of Puyang town has reduced 1545.53 hm2 in 2010 and the overall quality has declined about 1 degree.(2) Most cultivated land of Puyang town gathered at lower altitude area, decreased as the altitude increased; the distribution of cultivated land was more uniform within 600 m distance of river, when the distance exceeded 600 m, there is a substantial increase grow in the number of cultivated land; as the distance from the road increased, the quantity of cultivated land increased firstly and then decreased; more than half of the cultivated land of Puyang town concentrated within 100 m distance of rural residential areas, decreased as the distance increased.(3)The quality of cultivated land and its landscape pattern has certain coupling. It is possible to improve the quality of cultivated land through change its landscape pattern. According to the actual situation, adjust the distribution and combination of cultivated land at different altitude level or different distance from the river, road and rural settlements, or optimize the planning of road and rural settlements to improve the number of patches and landscape percentage index, reduce the average size of patches, average patch shape index and Shannon’s diversity index, to improve the quality of cultivated land.
Keywords/Search Tags:Cultivated land quality evaluation, Spatial distribution, Landscape pattern indices, Spatial autocorrelation, Coupling
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