摘要
对 4个气象要素的 2 0个指标进行主成分分析 ,结果表明 :5、6月份气温、5、6、7月份相对湿度、6月份日照时数、7月份降水量、5～ 7月份平均气温和平均相对湿度以及平均降水量、5～ 7月份总降水量 11个指标为影响甘肃马鹿产茸量的主要指标 ,5月份为产茸公鹿管理的关键时期 ;对 6个气象指标与 10a的鲜茸产量进行了双重筛选回归 ,并建立了回归模型 :Y =1.172 9+37.72 15X1- 2 7.2 111X2 +3 .35 42X7- 4.6 16 6X8+2 .2 5 5 3X12 +4 .940 3X2 0 (R =0 .9910 )。
By means of the main ingredient analysis to 4 meteorological factors for 20 indices, the results show that the air temperature of May and June, the relative humidity of May, June and July, the sunshine of June, the rainfall of July, the average air temperature and average relative humidity as well as average rainfall of May, June and July, the total rainfall of May, June and July are primary indices influencing hartshorn harvest, and May is the key period for hartshorn deer. Regressive prediction model with 6 indices was founded: Y =1.172 9+37.721 5 X 1-27.211 1 X 2+3.354 2 X 7-4.616 6 X 8+2.255 3 X 12 +4.940 3 X 20 ( R =0.991 0).
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2001年第6期49-52,共4页
Journal of Northeast Forestry University
关键词
产茸量
甘肃
马鹿
气象因素
回归模型
鹿茸
Hartshort harvest
Cervus elapus kansuensis
Meteorological factor
Regressive prediction model
