천수만 조하대 연성저질에 서식하는 저서동물 우점종의 분포 양상과 저서환경과의 관계 KCI OTHER

Title
천수만 조하대 연성저질에 서식하는 저서동물 우점종의 분포 양상과 저서환경과의 관계
Alternative Title
Distribution Patterns of the Dominant Macrobenthos and Their Relations to the Benthic Environments on Subtidal Soft-bottom in Chonsu Bay, Korea
Author(s)
박흥식; 강래선; 이재학
KIOST Author(s)
Park, Heung Sik(박흥식)
Alternative Author(s)
박흥식; 강래선; 이재학
Publication Year
2005
Abstract
Dominant species on a macrobenthic communities make selection by several methodology. This study executed to analyze differentiation of three types methods, density based, biomass based and Le Bris method considering to frequency occurrence using the quantitative data during five year, 1993 to 1998, at 21 stations in Chonsu Bay. Sedimentary environments as well as species composition and diversity showed the spatial and temporal distribution patterns. The rank of dominant species by density based listed similar to the results by Le Bris method than biomass based. Considering to the temporal variation, Le Bris method were more efficient than any other methods when made a selection of dominant species in Chonsu Bay. Three of species, Lumbrineris longifolia, Theora fragilis, Moerella jedoensis were included in all of methods. As results for one-way ANOVA, most of dominant species characterized to the spatial distribution patterns. These species showed positive correlations to sedimentary environments such as mean grain size. But only two species, T. fragilis, P. pinnata affected to the temporal patterns on their distribution, and also showed the correlations to benthic environments, organic contents and dissolved oxygen. Some of dominant species, T. fragilis, S. scutata, G. gurjanovae showed the possibilities of benthic indicator according to the environmental variations which can applying to the long-term benthic ecological monitoring in Chonsu Bay.
ISSN
0374-8111
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/5170
Bibliographic Citation
한국수산과학회지, v.37, no.6, pp.000 - 000, 2005
Publisher
한국수산과학회
Type
Article
Language
Korean
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