基于乡土树种分布的美国密歇根州生态区规划研究 |
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引用本文: | 齐家国,王斯卉,乔·布莱恩·布雷,特丽莎·麦克赫默. 基于乡土树种分布的美国密歇根州生态区规划研究[J]. 风景园林, 2012, 0(6): 138-145 |
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作者姓名: | 齐家国 王斯卉 乔·布莱恩·布雷 特丽莎·麦克赫默 |
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作者单位: | [1]美国密歇根州立大学地理学院 [2]全球变化和地球监测中心 [3]美国密歇根州立大学规划设计建设学院风景园林系 |
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摘 要: | 本研究利用地理信息系统和主成分分析法,探讨了基于美国密歇根州乡土树种自然分布的生态区规划方法。研究数据包括密歇根州51种乡土树种分布图,通过应用主成分分析法得出,10个主要成分生成的10个映射解释了84.9%的方差。这项研究结果与其他研究结果存在很大差异。研究表明,采用探索法划分区域有可能产生以下问题:忽略生成的区域大小的变化、模糊的区域边界、斑块类型和不连续斑块。研究结果揭示了土地在连续的几个维数呈现异质独立区域的可能性。研究表明密歇根州的景观规划和设计存在一定的不确定性。
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关 键 词: | 景观生态学 风景园林 地理学 区域科学 |
Defining Ecological Regions in Michigan Based on Native Tree Distributions |
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Affiliation: | QI Jia-guo,WANG Si-hui, Jon Bryan BURLEY and Trisha MACHEMER (US) Department of Geography of Michigan State University Center for Global Change and Earth Observations and consulting scientist for NASA.Landscape Architecture at the School of Planning Design and Construction,College of Social Science and College of Agriculture and Natural Resources,Michigan State University Urban and Regional Planning of Michigan State University |
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Abstract: | This study examines the derivation of Michigan ecological regions based on the natural distribution of tree species native to Michigan by applying Geographic Information Systems and Principal Component Analysis (PCA). The data set includes 51 distribution maps of Michigan native trees. By applying (PCA), 10 principal dimensions are revealed with 10 accompany regions explaining 84.9% of the variance. The results of the study did not strongly match the results of other investigators to generate regions in Michigan. Our study suggests that investigators who employ heuristic methods to create regions may be overlooking size variability in creating regions, the possibility of fuzzy boundaries, patch typologies, and discontinuous typologies. Our study also suggests the possibility that land may be expressed heterogeneously on a continuum of several dimensions not rendering distinct regions. Our study implies that landscape planning and design based upon regions in Michigan may not always be firm and reliable approach. |
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Keywords: | Landscape Ecology Landscape Architecture Geography Regional Science |
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