侧柏风景林美景度的林内色彩斑块非线性模型研究

Non-linear scenic beauty model of scenic Platycladus orientalis plantations based on in-forest color patches

利用景观生态学的景观空间格局分析原理,以照片的色彩斑块结构为基础,开展风景林林内景观质量评价研究。分析美景度等级和14个斑块指数的关系,利用简相关法筛选出对美景度影响大的SPLIT、SHDI、DIV、SIEI、ACOV和LPI 6个指数,研究表明:随着美景度等级的降低,DIV、SIEI、ACOV和LPI呈曲线变化趋势;SPLIT、SHDI呈线性增大的变化趋势。依据6个指标,利用聚类方法将侧柏人工林分为4种类型。以指数为自变量分别构建了线性和非线性美景度模型。对比结果表明:非线性模型拟合精度高于线性模型,所以选用二次多项式逐步回归模型从总体上较好地反映出景观指数与美景度间的关系。

We applied the theory of landscape spatial pattern analysis in landscape ecology to evaluate the quality of landscape by analyzing the structure of color patches in photos. The relationships between SBE grades and 14 patch indexes were studied. Six indexes among them,i. e.,SPLIT,SHDI,DIV,SIEI,ACOV and LPI,which influence scenic degree significantly,were selected by using correlation analysis.Results showed that the relationships between DIV,SIEI,ACOV,LPI and SBE grades were in multiple ways rather than merely in a linear way; SPLIT and SHDI changed in a positively linear trend with the decrease of SBE grade. Based on the six indexes,the scenic Platycladus orientalis plantations could be classified into four types by using cluster analysis. The indexes were used as the dependent variables to establish linear and non-linear models. Comparison showed that fitting accuracy of the non-linear model was higher than that of the linear model. The relationships between SBE value and landscape index could be well reflected by quadratic polynomial regression models.