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Identification tool for fishes by using meristic and morphometric characteres

利用分枝和形态特征进行鱼类识别的工具

基本信息

批准号：
16380140
负责人：
MATSUURA Keiichi
金额：
$ 5.57万
依托单位：
National Museum of Nature and Science
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16380140/
关键词：
fishes identification percoids species komputer internet database

项目摘要

Identifications of fishes are very important for ichthyologists and fisheries biologists who need to know names of fishes. However, it is usually difficult to exactly identify fishes because there are so many similar species in diversified groups such as percoids. When ichthyolgists and fisheries fisheries biologists try to identify fishes, they usually rely on field guides and identification keys. Keys are usually difficult for many fisheries biologists to follow, because there are so many couplets until reaching to the end of the keys. Particularly the keys for families and genera do not clearly show distinguishing characters I many cases. There are strong needs to create an identification tool which enables non-taxonomists identify fishes by using relatively easy characters such as countable and measurable characters. Recent developments of computer technology make practically possible to use many meristic and morphometric characters for identification of fishes. Because meristic and morphometric characters are relatively easy for non-taxonomists to identify fishes and those characters can be easily treated by computer with help of statistical program, we tried to establish an identification tool by using those characters. Our study successful produced the practically useful identification tool based on originally designed program. When users of this tool put meristic and morphometric data into search boxes and push "search" button, the tool provides candidate species. This tool was put on a website of the National Museum of Nature and Science ; it is easily downloaded from the website. This identification tool run on the software Microsoft Excel which is widely used by fisheries biologists.

鱼类的识别对于需要知道鱼类名称的鱼类学家和渔业生物学家来说是非常重要的。然而，由于鱼类种类繁多，如过双鱼，因此很难准确识别鱼类。当鱼类学家和渔业生物学家试图识别鱼类时，他们通常依赖于现场指南和识别密钥。对于许多渔业生物学家来说，键通常很难跟随，因为在到达键的末端之前有很多对联。特别是在许多情况下，科和属的键不能清楚地显示出区别字符。迫切需要创建一种识别工具，使非分类学家能够通过使用相对容易的特征（如可数和可测量的特征）来识别鱼类。近年来计算机技术的发展使利用许多分分体和形态计量特征进行鱼类鉴定成为可能。由于分生性状和形态计量性状对于非分类学家来说是比较容易识别的，而且这些性状在统计程序的帮助下可以很容易地在计算机上处理，因此我们试图利用这些性状建立一种识别工具。我们的研究成功地在原设计程序的基础上产生了实用的识别工具。当用户将分生和形态测量数据输入搜索框并按下“搜索”按钮时，该工具就会提供候选物种。这个工具被放在国家自然科学博物馆的网站上；它很容易从网站上下载。这个识别工具在渔业生物学家广泛使用的软件微软Excel上运行。