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Temporal Dynamics and Patterning of Meiofauna Community by Self-Organizing Artificial Neural Networks
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  • Journal title : Ocean and Polar Research
  • Volume 25, Issue 3,  2003, pp.237-247
  • Publisher : Korea Institute of Ocean Science & Technology
  • DOI : 10.4217/OPR.2003.25.3.237
 Title & Authors
Temporal Dynamics and Patterning of Meiofauna Community by Self-Organizing Artificial Neural Networks
Lee, Won-Cheol; Kang, Sung-Ho; Montagna Paul A.; Kwak Inn-Sil;
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 Abstract
The temporal dynamics of the meiofauna community in Marian Cove, King George Island were observed from January 22 to October 29 1996. Generally, 14 taxa of metazoan meiofauna were found. Nematodes were dominant comprising 90.12% of the community, harpacticoid 6.55%, and Kinorhynchs 1.54%. Meiofauna abundance increased monthly from January to May 1996, while varying in abundance after August 1996. Overall mean abundance of metazoan meiofauna was during the study periods, which is about as high as that found in temperate regions. Nematodes were most abundant representing . Mean abundance of harpacticoids, including copepodite and nauplius was by kinorhynchs . The overall abundance of other identified organisms was Other organisms consisted of a total of 11 taxa including Ostracoda , Polycheata , Oligochaeta , and Bivalvia . Additionally, protozoan Foraminifera occurred at the study area with a mean abundance of . Foraminiferans were second in dominance to nematodes. The dominant taxa such as nematodes, harpacticoids, kinorhynchs and the other tua were trained and extensively scattered in the map through the Kohonen network. The temporal pattern of the community composition was most affected by the abundance dynamics of kinorhynchs and harpacticoids. The neural network model also allowed for simulation of data that was missing during two months of inclement weather. The lowest meiofauna abundance was found in August 1996 during winter. The seasonal changes were likely caused by temperature and salinity changes as a result of meltwater runoff, and the physical impact by passing icebergs.
 Keywords
meiofauna;Antarctica;artificial neural network;temporal dynamics;
 Language
English
 Cited by
1.
남극 King George Islands, Marian Cove의 중형저서생물 군집 구조에 관한 연구,방현우;강성호;이원철;

환경생물, 2005. vol.23. 2, pp.191-199
2.
2002년 하계 북극 바렌츠해 연안지역의 중형저서생물 군집 구조에 관한 연구,이강현;정경호;강성호;이원철;

환경생물, 2005. vol.23. 3, pp.257-268
3.
북극해 스발바드 군도 Kongsfjorden 퇴적물에 서식하는 중형저서동물 군집의 공간 특성,김동성;신재철;강성호;정호성;

Ocean and Polar Research, 2005. vol.27. 3, pp.299-309 crossref(new window)
4.
남극 킹조지섬 마리안소만의 중형저서동물 군집구조,홍정호;김기춘;이승한;백진욱;이동주;이원철;

Ocean and Polar Research, 2011. vol.33. 3, pp.265-280 crossref(new window)
1.
The Community Structure of Meiofauna in Marian Cove, King George Island, Antarctica, Ocean and Polar Research, 2011, 33, 3, 265  crossref(new windwow)
2.
Spatial Characteristics of Meiobenthic Community of Kongfjorden Sediment in the Svalbard Island, the Arctic Sea, Ocean and Polar Research, 2005, 27, 3, 299  crossref(new windwow)
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