황해에서 봄철에 출현한 자치어의 종조성과 분포

Title
황해에서 봄철에 출현한 자치어의 종조성과 분포
Alternative Title
Distribution and Species composition of fish larvae in Spring in the Yellow Sea
Author(s)
이은경; 장요순
KIOST Author(s)
Lee, Eun Kyung(이은경)Jang, Yo Soon(장요순)
Alternative Author(s)
이은경; 장요순
Publication Year
2019-11-08
Abstract
The major fisheries species in the Yellow Sea are known to be about 30 species. It was found that about 10 kinds of spawning and early life history were found to be insufficient. The survey period was concentrated in spring and summer, and the survey area was also limited to the coast. The offshore area with cold bottom water emerged little research data since the 1980s and 1990s. Consequently, with distribution and species composition of larval fish, identifying the characteristics of spawning and nursery ground and early life history of the main target fish species in Yellow Sea require continued seasonal sampling and investigation on feeding and conditions of larval development.
Fish larvae were collected in the spring of 2019 (April 20-24) in the Yellow Sea, using a ring net with a mouth diameter of 150 cm and a mesh size of 400㎛. The samples were classified based on morphological characteristics and, molecular analysis was performed to amplify the mtDNA CO1 region. As a result, 14 species were collected. Dominant species were Liparis tanakae (45.4%), Pholis fangi (23.4%), and Clupeidae spp. (17.8%). There was a high emergence in the coastal area and there were many species on the 35° line. As a result of correlation analysis between fish larvae and environment, the higher water temperature and lower salinity showed significant correlation value.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/21077
Bibliographic Citation
KOFFST International Conference 2019, pp.PF-16, 2019
Publisher
한국수산과학총연합회
Type
Conference
Language
English
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse