首页 | 期刊介绍 | 编委会 | 道德声明 | 投稿指南 | 常用下载 | 过刊浏览 | In English
引用本文:张永普,应雪萍,王铁杆,柴雪良.橄榄蚶三个地理群体的形态差异分析[J].海洋科学,2009,33(10):100-.
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 2124次   下载 1720 本文二维码信息
码上扫一扫!
分享到: 微信 更多
橄榄蚶三个地理群体的形态差异分析
张永普1, 应雪萍1, 王铁杆2, 柴雪良2
1.温州大学;2.浙江省海洋水产养殖研究所
摘要:
运用多变量形态度量学分析方法,采用 9 项生物学形态性状指标比较了中国橄榄蚶(Estellarca olivacea)3个地理群体间的形态差异。聚类分析和主成分分析结果表明,浙江三门群体和浙江灵昆群体形态较为接近,江苏通州群体的趋异程度较大。主成分分析构建了两个主成分,第一主成分贡献率为47.73%,第二主成分贡献率为13.56%,累计贡献率为61.29%。贝体凸扁、壳厚和前后端形状等形态性状决定了橄榄蚶不同地理群体的形态差异,其形态变异主要与栖息地水温和底质有关。
关键词:  橄榄蚶(Estellarca olivacea  地理群体  聚类分析  主成分分析
DOI:
分类号:
基金项目:浙江省科技计划项目(2006C32010);温州市科技计划项目(S2006A002)
Morphological variation in three geographical populations of Estellarca olivacea
ZHANG Yong-pu,YING Xue-ping,WANG Tie-gan,CHAI Xue-liang
Abstract:
Based on nine morphological characters of populations of Estellarca olivacea from Zhejiang Lingkun, Zhejiang Sanmen and Jiangsu Tongzhou, the morphological variations of three geographical populations were studied by means of multivariate morphometrics. The results of cluster analysis and principal component analysis revealed that the morphological characters of E. olivacea from Zhejiang Sanmen population and Zhejiang Lingkun population were similar to each other but were much more different from the character of Jiangsu Tongzhou population. In the principal component analysis, two principal components were constructed. The contributory ratios of the two principal components were 47.73% and 13.56% respectively and the cumulative contributory ratio was 61.29%. The shell protrusion or flat, shell thick and fore-and-aft shape determined the morphological variations of different geographical populations of E. olivacea, which were related with the water temperature and substrate.
Key words:  Estellarca olivacea  geographical population  cluster analysis  principal component analysis
版权所有 《海洋科学》 Copyright©2008 All Rights Reserved
主管单位:中国科学院 主办单位:中国科学院海洋研究所
地址:青岛市市南区福山路32号  邮编:266071  电话:0532-82898755  E-mail:marinesciences@qdio.ac.cn
技术支持:北京勤云科技发展有限公司