Premium
The use of modern relational databases for identification of fish larvae
Author(s) -
Froese R.,
Papasissi Christine
Publication year - 1990
Publication title -
journal of applied ichthyology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 62
eISSN - 1439-0426
pISSN - 0175-8659
DOI - 10.1111/j.1439-0426.1990.tb00499.x
Subject(s) - meristics , identification (biology) , biology , fish <actinopterygii> , relational database , database , microcomputer , field (mathematics) , larva , metric (unit) , graphics , zoology , computer science , fishery , ecology , chip , telecommunications , operations management , computer graphics (images) , mathematics , pure mathematics , economics
Summary Fish larvae are often hard to identify because body proportions and pigmentation may change considerably in the course of larval development. Modern relational databases provide features such as choice fields (only one choice from a list of predefined entries is allowed for a field), query‐by‐forms (a very user friendly way of searching), and graphics. About 80 descriptive, meristic and metric characters of postlarvae have been recognized as useful for identification. For 126 species of fish larvae from the Northeast Atlantic these characters have been identified with values from the literature. It is shown that (a) a microcomputer‐based database can be used to build a very efficient identification system, and (b) that drawings and descriptions from the literature can be successfully employed to build identification keys.