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우리나라 3개 하구역 대형저서동물 군집 시공간 분포

Spatio-temporal Distribution of Macrozoobenthos in the Three Estuaries of South Korea

  • 임현식 (목포대학교 해양수산자원학과) ;
  • 이진영 (목포대학교 해양수산자원학과) ;
  • 이정호 (안양대학교 해양바이오시스템공학과) ;
  • 신현출 (전남대학교 해양기술학부) ;
  • 류종성 (안양대학교 해양바이오시스템공학과)
  • LIM, HYUN-SIG (Department of Marine and Fisheries Resources, Mokpo National University) ;
  • LEE, JIN-YOUNG (Department of Marine and Fisheries Resources, Mokpo National University) ;
  • LEE, JUNG-HO (Department of Marine Biotechnology, Anyang University) ;
  • SHIN, HYUN-CHUL (Faculty of Marine Technology, Chonnam National University) ;
  • RYU, JONGSEONG (Department of Marine Biotechnology, Anyang University)
  • 투고 : 2019.01.10
  • 심사 : 2019.02.15
  • 발행 : 2019.02.28

초록

국가해양생태계종합조사의 일환으로 우리나라의 주요 하천인 한강, 금강, 낙동강 하구역에 서식하는 저서동물 군집 특성을 파악하였다. 현장조사는 2015년부터 2017년에 걸쳐 매 계절별(겨울: 2월, 봄: 5-6월, 여름: 7-9월, 가을: 11월)로 수행하였다. 시료채집은 한강 하구역에 7개, 금강 하구역에 6개, 낙동강 하구역에 7개의 정점을 설정하여 총 20개의 정점에서 수행되었다. 대형저서동물 채집은 van Veen grab(채집면적 $0.1m^2$)을 사용하여 각 정점 당 3회씩 반복채집 후 1 mm 망목의 표준체를 이용하여 펄을 제거하였다. 조사결과 총 1,008종의 저서동물이 출현하였으며 한강 하구역에서 602종, 금강 하구역에서 612종, 낙동강 하구역에서 619종이 출현하여 유사한 양상을 보였다. 평균 밀도는 $1,357ind./m^2$로서 한강 하구역에서 $1,127ind./m^2$, 금강 하구역에서 $1,357ind./m^2$ 및 낙동강 하구역에서 $1,587ind./m^2$으로 한강 하구역이 가장 낮고 낙동강 하구역이 가장 높았다. 평균 생체량은 $116.8g/m^2$으로 한강 하구역에서 $49.0g/m^2$, 금강 하구역에서 $129.0g/m^2$ 및 낙동강 하구역에서 $174.2g/m^2$이 출현하여 밀도와 유사한 양상을 보였다. 한강과 금강, 낙동강 하구역 모두 환형동물이 출현종수와 밀도에서 우점 분류군이었다. 한강과 금강 하구역에서는 연체동물이, 낙동강 하구역에서는 극피동물이 생체량 우점 분류군이었다. 각 하구역에서 4% 이상의 밀도 점유율을 보이는 우점종은 모두 다모류로서 한강 하구역의 경우 Dispio oculata와 Heteromastus filiformis, Aonides oxycephala였으며, 금강 하구역에서는 Heteromastus filiformis와 Scoletoma longifolia, 낙동강 하구역에서는 Pseudopolydora sp.와 Aphelochaeta sp.였다. 이러한 우점종들은 하구역에 따라 출현밀도의 차이가 있었다. 본 연구 결과 한강 하구역에서는 평균 입도, 금강 하구역에서는 염분 및 실트함량, 낙동강 하구역에서는 염분, 용존산소, 강열감량, 실트 함량이 군집 조성에 영향을 미치고 있었다. 따라서 한강 하구역의 경우 퇴적환경 변화를 초래하는 요인들(골재채취, 제방축조, 매립 등)에 대한 관리가 우선되어야 할 것으로 판단되며, 금강 하구역에서는 금강으로부터의 담수유입 및 주변 퇴적 환경에 변화를 줄 수 있는 요인들에 대한 관리가 우선시 되어야 할 것으로 보인다. 또한 낙동강 하구역의 경우 마산만 내측의 빈산소수괴 발달 양상과 주요 우점종의 공간분포에 대한 모니터링을 중점적으로 해야 할 것으로 판단된다.

This study aims to understand spatio-temporal variations of macrozoobenthos community in Han River (HRE), Geum River (GRE), and Nakdong River estuaries (NRE) of Korea, sampled by National Survey of Marine Ecosystem. The survey was seasonally performed at a total of 20 stations for three years (2015-2017). Sediment samples were taken three times with van Veen grab of $0.1m^2$) areal size and sieved through a 1 mm pore size mesh on site. A total of 1,008 species were identified with 602 species in HRE, 612 in GRE, and 619 in NRE, showing similar number of species between estuaries. Mean density was $1,357ind./m^2$, showing the high in NRE ($1,357ind./m^2$), mid in GRE ($1,357ind./m^2$), and low in HRE ($1,127ind./m^2$). Mean biomass was $116.8g/m^2$, showing similar variations to density ($174.2g/m^2$ in NRE, $129.0g/m^2$ in GRE, $49.0g/m^2$ in HRE). Polychaeta dominated in number of species and density in three estuaries. Biomass-dominated taxon was Mollusca in HRE and GRE, and Echinodermata in NRE. Polychaetous species dominated all three estuaries over 4% of density, such as Dispio oculata, Heteromastus filiformis and Aonides oxycephala in HRE, Heteromastus filiformis and Scoletoma longifolia in GRE, and Pseudopolydora sp. and Aphelochaeta sp. in NRE, showing various density between estuaries. Community structure was determined by various environmental variables among estuaries such as mean grain size and sorting (HRE), salinity and mean grain size (GRE), and salinity, dissolved oxygen, loss on ignition and mud content (NRE). Our study demonstrates the application of different measures to manage ecosystems in three estuaries. HRE needs to alleviate sedimentary stressors such as sand mining, land-filling, dike construction. Management of GRE should be focused on fresh water control and sedimentary stressors. In NRE, monitoring of dominant benthos and process study on hypoxia occurrence in inner Masan Bay are necessary.

키워드

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Fig. 1. Map showing the sampling stations in estuaries of Han, Geum and Nakdong Rivers around the Korean coasts.

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Fig. 3. Seasonal variations of a number of species, abundance, biomass and species diversity of macrozoobenthos from Han,Geum and Nakdong Rivers estuaries.

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Fig. 4. Box plots for spatial distribution of a number of species, abundance, biomass and species diversity of macrozoobenthos from Han River estuary.

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Fig. 5. Box plots for spatial distribution of a number of species, abundance, biomass and species diversity of macrozoobenthos from Geum River estuary.

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Fig. 6. Box plots for spatial distribution of a number of species, abundance, biomass and species diversity of macrozoobenthos from Nakdong River estuary.

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Fig. 7. Seasonal variations of abundances of dominant macrobenthic species from Han, Geum and Nakdong Rivers estuaries.

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Fig. 8. Distribution of station groups based on the cluster analysis of species composition and abundance of macrozoobenthos in Han River estuary, from February 2015 to November 2017.

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Fig. 9. Distribution of station groups based on the cluster analysis of species composition and abundance of macrozoobenthiccommunity in Geum River estuary, from February 2015 to November 2017.

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Fig. 10. Distribution of station groups based on the cluster analysis of species composition and abundance of macrozoobenthos in Nakdong River estuary, from February 2015 to November 2017.

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Fig. 2. Variation of salinity on the bottom water and mean phi of the surface sediments in the sampling stations of Han, Geum and Nakdong Rivers estuaries.

Table 1. Sampling month of macrozoobentos in the study area, from February 2015 to November 2017

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Table 2. The taxonomic composition of number of species, density, biomass and species diversity (H') in macrozoobenthic community of three major estuaries in Korea, data pooled from February 2015 to November 2017

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Table 3. Abundance of dominant macrozoobenthic species in the three major estuaries of Korea, data pooled from February 2015 to November 2017

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Table 4. Environmental and ecological characteristics in various station groups from Han, Geum and Nakdong Rivers

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Table 5. Relationship between environmental variables and macrozoobenthic assemblage data using BIOENV analysis with environmental variables best explaining the faunal pattern. Resulting values are weighted Spearman rank correlation coefficient (r). Bold values represent the highest correlation value for the best explanatory variables

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Table 6. Spearman's correlation coefficient between benthic habitat conditions and community parameters and the abundance of dominant species

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