摘要
】大足鼠６月和１０月高峰期的数量与上年３月的种群数量、性比和年龄结构有关。本文建立了线性回归，逐步回归和模糊相关的关系式。其中，模糊相关模型能最好地拟合原始数据。
Surveys were made in six successive years of the population of Rattus nitidus. Analysis of the data showed that its population density in June and October was associated with the population density, Sexual ratio and age structure of the animal in the spring (January to March) of the previous year. Mathematical models of linear regression, stepwise regression and fuzzy correlation were established, of which fuzzy correlation model fitted the original data best and is recommended in the forecasting of the fluctuation of the population density of R.nitidus.
出处
《西南农业大学学报（自然科学版）》
CSCD
1996年第6期618-621,共4页
Journal of Southwest Agricultural University
关键词
大足鼠
模糊模型
回归分析
数量预测
Rattus nitidus Hodgson
predictions
fuzzy models
regression analysis
