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海南山蛭种群数量动态与气象因素关系研究
引用本文:谭恩光,梁传精.海南山蛭种群数量动态与气象因素关系研究[J].生态学报,2000,20(4):611-614.
作者姓名:谭恩光  梁传精
作者单位:中山医科大学,广州,510089
基金项目:国家自然科学基金资助课题!388006,3916001
摘    要:在海南岛橡胶林内,每月观测海南山蛭Haemadipsa hainana种群数量Ba,用逐步回归分析方法研究了10个气象因子对海南山6种数量的影响,结果表明,1)每年海南山蛭种群数量不同,6a间影响海南山蛭种群数量的主要气候因素是X1(月雨量)、X3(月雨日)和X5(月有露日数);2)海南岛5~10月份为雨季,海南山蛭这种群数量明显增大,影响山蛭种群数量的主要气候因素是X5和X16(月最大风速和)和

关 键 词:海南山蛭  气象因素  逐步回归分析  种群数理  防治
收稿时间:1998/5/24 0:00:00
修稿时间:1999/10/11 0:00:00

Studies on the relationship between the population dynamic of Haemadipsa hainana and climatic factors
TAN Enguang and LIANG Chuanjing.Studies on the relationship between the population dynamic of Haemadipsa hainana and climatic factors[J].Acta Ecologica Sinica,2000,20(4):611-614.
Authors:TAN Enguang and LIANG Chuanjing
Institution:Department of Biology; Sun Yat Sen University of Medical Science; Guangzhou; China
Abstract:The population number of Haemadipsa hainana has been investigated every month in rubber plantation of Hainan Island for eight years.The effect of ten climatic factors on population numbers of H.hainana has been studied by stepwise regression analysis method.The result shows that:1)population dynamic of H.hainana is different every year.The effects of the major climatic facors on population dynamics are X 1 (rainfall) X 3 (rainday) X 5 (showday) for eight years.2)the rainy season in Hainan Island is from May to October,in the season population number of H.hainana is greatly increased.The effects of major climatic factors on population dynamic are X 5 and X 10 (maximum wind speed).It is dry season from November to April,in which the population number is small,and the effect of major climatic facors on population dynamic is X 1 .3)In total 23 equation calculated in these eight years the important climatic factors of the ten variants (met) of the effect on population dynamic are X 1 , X 5 and X 10 .The result of seven climatic factors and ten climatic factors of the effect on population dynamic are discussed.
Keywords:Haemadipsa hainana  population dynamics  climates factor  stepwise regression
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