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本文应用数量化理论Ⅰ对四川凉山州飞播云南松林分的生物量、蓄积量和生产力进行了系统的分析,并建立了相应的预测预报模型。结果表明影响林分生产力的主导因子是林分结构,其次是土壤条件;地形因子(海拔、坡向、坡位,坡度)的影响较小。通过分析认为,在经营森林生态系统时,为了提高生产力,重要的工作应放在提高林分叶面积指数和合理密植方面。预测预报模型的复相关指数皆在0.84以上,精度高于多无线性回归模型,在说明变量(自变量)既含定性又含定量因素时,数量化理论Ⅰ能更好地拟合多元的说明变量与基准变量(因变量)之间的相关关系。
In this paper, quantitative theory Ⅰ was used to systematically analyze the biomass, accumulation and productivity of Pinus yunnanensis stands in Liangshan Prefecture, Sichuan Province, and to establish a corresponding prediction model. The results showed that the dominant factor affecting the stand productivity was the stand structure, followed by the soil conditions; the influence of topographical factors (elevation, aspect, slope position and slope) was small. According to the analysis, in order to improve productivity in the management of forest ecosystems, important work should be focused on improving the index of leaf area and rational density planting. The complex correlation index of the prediction model is above 0.84, and the precision is higher than that of the multi-linear regression model. When the variable (independent variable) contains both qualitative and quantitative factors, the quantitative theory I can better fit the multiple explanation Correlation between variables and base variables (dependent variables).