探讨了利用斑块大小、丰度指数、斑块方度指数、景观集中度指数等景观格局指数以及耕作半径作为土地资源规模化潜力评价的指标设置方法,结合DTM提取的地形坡度因子,以喀斯特山区为例,应用GIS技术定量分析了不同地形区包括喀斯特河谷区和喀斯特峰丛峰林区、不同坡度区土地资源的规模化潜力。结果表明,土地资源规模化潜力受到土地资源空间格局和地形格局的严重制约,且严格受控于土地资源空间格局与地形的组合形态,喀斯特山区耕地资源丰度较低,虽有向低缓坡度区域聚集的效应,但受地形限制严重,从土地规模化趋势的角度看,喀斯特山区的移民也不可避免,政府应有相应的规划和应对措施。
The paper focuses on discussing how to set up indexes including patch area, richness index, patch square index, concentration index and cultivation radius for evaluating SLR. By taking a Karst mountain area as an example, the authors use the landscape pattern indexes combining with DTM data & GIS technology to evaluate the scaled potential degree of land resources of the Karst mountains areas. As terrain gradient is also a key factor to SLR, the paper classifies the gradient into three grade: P≤ 5^o, 5^o 〈 P ≤ 15^o, P 〉 15^o(Pmeans gradient), two regions of Karst terrain: river valley, Karst peak cluster-depressions and Karst peak forest-valley according to the terrain gradient for evaluating and has compared different scaled potential degree of land resources in different grade of gradient and terrain regions.