论文部分内容阅读
灌木的生物量与其生长指标（高、地径、冠幅、枝条数等）之间具有密切的关系，本研究采用数学模拟的方法，以大量实测数据为基础，建立灌木生物量的预测模型，实现灌木生物产量的预测预报。大多数树种以指数模型（ｙ＝ａｘｂｉｉ）最为适宜。用复相关系数、方差分析、相对误差、拟合率来进行模型评价和优化，用ｘ２检验和拟合率做适合性检验，可以得到比较满意的结果。我们运用这套技术建立了杨柴、花棒、沙拐枣，梭梭、沙棘和沙柳六种生产上最常用的旱生灌木的生物量预测优化模型。
The biomass of shrubs is closely related to their growth index (height, diameter, crown, number of branches, etc.). In this study, mathematical simulation method was used to establish a prediction model of shrub biomass based on a large number of measured data. Realize the prediction and forecast of shrub biological production. Most species are most exponential (y = axbii). The correlation coefficient, analysis of variance, relative error and fitting rate were used to evaluate and optimize the model. The fit test was done by x2 test and fitting rate to get satisfactory results. Using this technology, we established the biomass prediction and optimization model of the most commonly used dry shrubs for the production of Yangchai, Hualien, Calligonum, Haloxylon ammodendron, Seabuckthorn and Salix psammophila.