Estimation of Windbreak Changes in Yi-Lang Coastal Zone Based on Land Use Distance Variables
Resource
地理學報, 30, 071-086
Journal
地理學報
Journal Issue
30
Pages
071-086
Date Issued
2003-03
Date
2003-03
Author(s)
Hsu, M.L.
Abstract
Taiwan is located in the East Asia Monsoon Climatic Zone. Coastal zones in Taiwan are constantly subjected to strong northeasterly winds in the winter and destructive typhoons in the summer. As a result, Coastal windbreak plantations are very common in these areas. The existence of a coastal windbreak belt has proven beneficial to crop yields, and effective in preventing the inland migration of coastal sand dunes. However, coastal zone development has resulted in environmental changes, which in turn influence the growth and distribution of coastal windbreaks. Furthermore, the changes in the condition and distribution of coastal windbreak have impacts on the environmental quality and landuse potential of the coastal zone areas. It is hypothesized that the boundary shifting of windbreaks is closely related to the spatial land use pattern in their neighborhood. The study collected land use digital data of 3 Yi-Land Counties derived from surveys conducted in 1982, 1988 and 1994. Based on the data, the probability for each land use type to occur within a certain distance from a grid cell in the windbreaks boundary was calculated, and the data were used for discriminant analysis to derive two sets of discriminant functions. One is to differentiate whether or not a grid cell in the windbreak boundary changed its land use during the period between 1982 and 1988, and the other is to differentiate whether the cell changed to particular type of land use. The accuracy rates of both methods for the three districts of Yi-Lang County were all above 52%, while the best estimations were achieved at the Su-Ao District, which reached 84%. The proposed methods proved to be potentially useful for estimating local, small-scale land use changes.
Subjects
防風林
土地利用變遷
區別分析
區別函數
Windbreak
Landuse change
Discriminant analysis
Discriminant functions
SDGs
Type
journal article