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식물플랑크톤 군집조성 파악을 위한 현미경관찰법과 지표색소분석법 비교 연구: CHEMTAX 프로그램 활용Comparison of Microscopy and Pigment Analysis for Determination of Phytoplankton Community Composition: Application of CHEMTAX Program

Other Titles
Comparison of Microscopy and Pigment Analysis for Determination of Phytoplankton Community Composition: Application of CHEMTAX Program
Authors
김도균최지수오혜지장광현최광순신경훈
Issue Date
Dec-2021
Publisher
한국하천호수학회
Keywords
phytoplankton; biomass; microscopy; pigment; CHEMTAX; carbon contents
Citation
생태와 환경, v.54, no.4, pp 303 - 314
Pages
12
Indexed
KCI
Journal Title
생태와 환경
Volume
54
Number
4
Start Page
303
End Page
314
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/111472
DOI
10.11614/KSL.2021.54.4.303
ISSN
2288-1115
2288-1123
Abstract
To understand how to efficiently observe the biomass and community of phytoplankton, phytoplankton sampling was carried out from June to October 2019 at the Yeongju dam sediment control reservoir(YJ) and Bohyeonsan dam reservoir(BH1 and BH2). The results derived from microscopic observation, such as the conventional phytoplankton qualitative/quantitative analysis, and from the CHEMTAX method based on the pigments, were compared. The relative contribution of phytoplankton, calculated by the microscopy and CHEMTAX methods, showed a significant difference in all four classes: cryptophyta, chlorophyta, cyanobacteria, and diatoms. In addition, the correlation between the two observation methods was poor. This might be caused by methodological differences in microscopy that do not consider the varying cell sizes among phytoplankton species. In this study, by converting the cells into carbon, the slope between both carbon biomasses based on microscopy and CHEMTAX was improved close to the 1 : 1 line, and the y-intercept was closer to 0 for cryptophyta and diatoms. For cyanobacteria, the slope increased, the y-intercept decreased, and the plot approached 1 : 1 although the correlation coefficients were not improved in all classes. The present study suggests that application of CHEMTAX based on pigment analysis could be a possible approach to efficiently determine the relative carbon proportions of individual classes of phytoplankton community composition.
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