中国海洋大学学报(自然科学版)
中國海洋大學學報(自然科學版)
중국해양대학학보(자연과학판)
PERIODICAL OF OCEAN UNIVERSITY OF CHINA
2010年
3期
65-70
,共6页
罗福广%李斌%罗平秀%郑惠芳%潘英
囉福廣%李斌%囉平秀%鄭惠芳%潘英
라복엄%리빈%라평수%정혜방%반영
管角螺%种群%形态差异%判别分析
管角螺%種群%形態差異%判彆分析
관각라%충군%형태차이%판별분석
Hemifusus tuba Gmelin%population%morphological variation%discriminant analysis
运用多变量形态度量学方法,采用7个形态性状对中国北海、温州、湛江、连云港4个管角螺自然群体的形态变异进行分析研究.聚类分析和主成分分析结果表明,北海群体与湛江群体形态最为接近,而温州群体与连云港群体形态差异较大.主成分分析构建了4个主成分,其贡献率:主成分1为42.74%,主成分2为18.23%,主成分3为15.83%,主成分4为11.83%,累计贡献率为88.63%.建立了4个管角螺群体的判别函数,其判别准确率P_1为81.3%~95.6%,判别准确率P_2为75.0%~93.3%,综合判别率为87.3%.3种多元分析结果均认为,4个群体在形态上有一定程度的差异,与地理分布、环境、气候、生物饵料等因子有关,但差异尚未达到亚种水平.
運用多變量形態度量學方法,採用7箇形態性狀對中國北海、溫州、湛江、連雲港4箇管角螺自然群體的形態變異進行分析研究.聚類分析和主成分分析結果錶明,北海群體與湛江群體形態最為接近,而溫州群體與連雲港群體形態差異較大.主成分分析構建瞭4箇主成分,其貢獻率:主成分1為42.74%,主成分2為18.23%,主成分3為15.83%,主成分4為11.83%,纍計貢獻率為88.63%.建立瞭4箇管角螺群體的判彆函數,其判彆準確率P_1為81.3%~95.6%,判彆準確率P_2為75.0%~93.3%,綜閤判彆率為87.3%.3種多元分析結果均認為,4箇群體在形態上有一定程度的差異,與地理分佈、環境、氣候、生物餌料等因子有關,但差異尚未達到亞種水平.
운용다변량형태도량학방법,채용7개형태성상대중국북해、온주、담강、련운항4개관각라자연군체적형태변이진행분석연구.취류분석화주성분분석결과표명,북해군체여담강군체형태최위접근,이온주군체여련운항군체형태차이교대.주성분분석구건료4개주성분,기공헌솔:주성분1위42.74%,주성분2위18.23%,주성분3위15.83%,주성분4위11.83%,루계공헌솔위88.63%.건립료4개관각라군체적판별함수,기판별준학솔P_1위81.3%~95.6%,판별준학솔P_2위75.0%~93.3%,종합판별솔위87.3%.3충다원분석결과균인위,4개군체재형태상유일정정도적차이,여지리분포、배경、기후、생물이료등인자유관,단차이상미체도아충수평.
By applying multi-variant morphological measurement data, we used 7 morphological proportional characters to analyze the morphological variations from four different natural populations of Hemifusus tuba Gmelin, which were respectively located in Beihai, Wenzhou, Zhanjiang and Lianyungang. From cluster and principal component analyses, morphological characters were rather similar between Beihai and Zhanjiang populations, whereas high variance was found between Wenzhou and Lianyungang populations. Four principal components were constructed, the contributory ratio, from high to low, was 42.74%, 18.23%, 15.83% and 11.83%, respectively, with 88.63% as the cumulative contributory ratio. The discriminant functions of the four populations were established, the discriminant accuracy being 81.3%~95.6% for P_1 and 75.0%~93.3% for P_2, the average discriminant accuracy being 87.3%. The results of multivariation analysis indicated that there were some morphological differences in the four different geographical populations, which were related to geographical distribution, environment, climate, food, and so on. But the morphological variation of them was characterized under-subspecies.