【摘要】 基于Landsat TM遥感数据,提取研究区域的土地利用数据,并利用ArcGIS 10.3中渔网工具分别创建不同尺度的评价单元。分别计算每种尺度下的景观格局指数,构建人为干扰强度指标,通过Pearson相关分析来探讨不同空间尺度下景观格局指数对人为干扰度的响应,研究金义都市新区的景观指数在不同空间尺度下对人为干扰度做出的响应。结果表明:①人为干扰强度空间分布表现为四周低,中间高。②斑块密度(PD)、香农多样性指数(SHDI)、香农均匀度指数(SHEI)与人为干扰度呈正相关关系;蔓延度指数(CONTAG)、景观聚集度指数(AI)与人为干扰度呈显著负相关。③在探讨评价单元的空间尺度时发现,景观指数与人为干扰度的相关显著性表现不同,具体表现在:AI在空间尺度为2 000 m时,显著相关。而PD、CONTAG、SHDI及SHEI在空间尺度为4 000 m时,与人为干扰度的显著相关,说明人为干扰度与景观格局指数之间的响应存在空间尺度差异性。④在处于发展初期的区县尺度下进行景观格局指数与人为干扰度相关性分析时,发现选取评价单元为4 000 m时,得到的相关性和显著性结果较好。更多还原

【Abstract】 Based on Landsat TM remote sensing data,land use data of the study area were extracted,and fishing net tools in ArcGIS 10.3 were used to create evaluation units of different scales,the landscape pattern index of each scale was calculated separately,and the hemeroby index was constructed.The Pearson correlation analysis was used to investigate the response of the landscape pattern index to hemeroby at different spatial scales.To study the response of the landscape index of Jinyi New District to hemeroby at different spatial scales.The results show:①The spatial distribution of hemeroby is low in the periphery and high in the middle;②Plaque density(PD),Shannon diversity index(SHDI),Shannon uniformity index(SHEI) were positively correlated with hemeroby;contagion index(CONTAG),landscape aggregation index(AI) and human interference degree is significantly negatively correlated.③When discussing the spatial scale of the evaluation unit,it is found that the correlation between the landscape index and the hemeroby is different.The specific performance is as follows: AI is significantly correlated when the spatial scale is 2000 m.PD,CONTAG,SHDI and SHEI are significantly correlated with hemeroby when the spatial scale is 4 000 m,indicating that there is spatial scale difference in the response between hemeroby and landscape pattern index.④When the correlation between landscape pattern index and hemeroby is analyzed at the district and county scales at the initial stage of development,it is found that when the evaluation unit is 4000 m,the correlation and significance results are better.更多还原