Browse > Article
http://dx.doi.org/10.11614/KSL.2017.50.1.148

Relationship between Phytoplankton Community and Water Quality in Lakes in Jeonnam using SOM  

Cho, Hyeon Jin (Department of Biological Sciences and Biotechnology, Chonnam National University)
Na, Jeong Eun (Yeongsan River Environmental Research Center)
Jung, Myoung Hwa (Department of Biological Sciences, Chonnam National University)
Lee, Hak Young (Department of Biological Sciences, Chonnam National University)
Publication Information
Abstract
In this study, we analyzed the relationship between phytoplankton community and physicochemical factors in 12 lakes located in Jeollanam-do based on the data surveyed from March to November 2014. Totally, 297 species of phytoplankton were identified including 98 Bacillariophyceae, 148 Chlorophyceae, 23 Cyanophyceae and 28 other phytoplankton taxa. The standing crops ranged from 124 to $59,148cells\;mL^{-1}$ and showed the highest in August with the increase of Cyanophycean cells. The self-organizing map (SOM) was optimized into $9{\times}6$ grid and was classified into 5 clusters based on the similarity of environmental factors and phytoplankton indices. The SOM results showed that phytoplankton communities had positive relationship with water temperature, SS, DO, BOD, TP and Chl-a, whereas low relationship with pH, TN, $NH_3-N$, $NO_3-N$, $PO_4-P$ and Conductivity. In Pearson's correlation coefficient, relationship between environmental factors and phytoplankton communities showed similar results with SOM.
Keywords
phytoplankton; lakes; self-organizing map (SOM); Pearson's correlation coefficient;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Polzlbauer, G. 2004. Survey and comparison of quality measures for self-organizing maps, pp. 67-82. In: Proceedings of the Fifth Workshop on Data Analysis (WDA'04) (Paralic, J., G. Polzlbauer and A. Rauber, eds.). June 24- 27, Elfa Academic Press, Sliezsky dom, Vysokeie Tatry, Slovakia, 2004.
2 Reynolds, C.M., S.W. Wiseman, B.M. Godfrey and C. Butterwick. 1983. Some effects of artificial mixing on the dynamics of the phytoplankton populations in large limnetic enclosures. Journal of Plankton Research 5: 203-234.   DOI
3 Rimet, F., J. Druart and O. Anneville. 2009. Exploring the dynamics of plankton diatom communities in Lake Geneva using emergent self-organizing maps (1974-2007). Ecological Informatics 4(2): 99-110.   DOI
4 Shin, J.G., S.J. Hwang, C.G. Kang and H.S. Kim. 2003. Limnological Characteristics of the River-type Paltang Reservoir, Korea: Hydrological and Environmental Factors. Korean Journal of Limnology 36: 242-256.
5 Smith, V.H. 2003. Eutrophication of freshwater and coastal marine ecosystems: A global problem. Environmental Science and Pollution Research 10: 1-14.   DOI
6 Sommer, U., Z.M. Gliwicz, W. Lampert and A. Duncan. 1986. The PEG-model of seasonal succession of planktonic events in fresh waters. Archiv fur Hydrobiologie 106: 473-485.
7 Sze, P. 1998. A biology of the algae 3rd ed. McGraw-Hill, Boston, 278pp.
8 Tison, J., Y.S. Park, M. Coste, J.G. Wasson, F. Rimet, L. Ector and F. Delmas. 2007. Predicting diatom reference communities at the French hydrosystem scale: a first step towards the definition of the good ecological status. Ecological Modelling 203: 99-108.   DOI
9 Vensato, J. and R. Alhoniemi. 2000. Clustering of the self-organizing map. IEEE Transactions on Neural Network 11: 586-600.   DOI
10 Wetzel, R.G. 1999. Limnology: Lake and River Ecosystems. 3rd ed. Academic Press, Sandiego. U.S.A. 1006pp.
11 An, K.G. and J.R. Jones. 2000. Factors regulating bluegreen dominance in a reservoir directly influenced by the Asian monsoon. Hydrobiologia 432: 37-48.   DOI
12 APHA. 2001. Standard methods for the examination of water and wastewater. American Public Health Association. 21st eds. Wasington, D.C. U.S.A.
13 Carmack, E.C., C.B.J. Gray, C.H. Pharo and R.J. Daley. 1979. Importance of lake-river interaction on seasonal patterns in the general circulation of Kamloops Lake, British Columbia. Limnology and Oceanography 24(4): 634-644.   DOI
14 Choi, M.K., B.H. Kim, Y.T. Chung and I.S. Whi. 1994. Occurrence and dynamics of phytoplankton in lake Chuam. Korean Journal of Limnology 27: 79-91.
15 Gevrey, M., F. Rimet, Y.S. Park, J.L. Giraudel, L. Ector and S. Lek. 2004. Water quality assessment using diatom assemblages and advanced modelling techniques. Freshwater Biology 49: 208-220.   DOI
16 Horne, A.J. and C.R. Goldman. 1994. Limnology. McGraw-Hill, New York, 465pp.
17 Kim, H.Y., G.H. La, K.S. Jeong, J.H. Park, Y.J. Huh, S.D. Kim, J.E. Na, M.H. Jung and H.Y. Lee. 2010. Assessing the plankton dynamics in lakes and reservoirs ecosystem in the southwestern parts of Korea. Korean Journal of Environmental Biology 28(2): 86-94.
18 Hwang, S.J., S.K. Kwun and C.G. Yoon. 2003. Water quality and limnology of Korean reservoirs. Paddy and Water Environment 1: 43-52.   DOI
19 Joo, G.J. and K.S. Jeong. 2005. Modelling community changes of cyanobacteria in a flow regulated river (the lower Nakdong River, S. Korea) by means of a Self-Organizing Map (SOM), pp. 273-287. In: Modelling Community Changes of Cyanobacteria in a Flow Regulated River (the Lower Nakdong River, S. Korea) by Means of a Self-Organizing Map (SOM) (Lek, S., M. Scardi, P. Verdonschot, J.P. Descy and Y.S. Park, eds.). Springer Verlag, Berlin.
20 Joung, S.H., C.Y. Ahn, A.R. Choi, K.Y. Jang and H.M. Oh. 2005. Relation between rainfall and phytoplankton community in Daechung reservoir. Korean Journal of Environmental Biology 23(1): 57-63.
21 Kiviranta, J., M. Namikoshi, K. Sivonen, W.R. Evans, W.W. Carmichael and K.L. Ronehart. 1992. Structure determination and toxicity of a new microcystin from Microcystis aeruginosa strain-205. Toxicon 30: 1093-1098.   DOI
22 Kohonen, T. 2001. Self-organizing Maps. Springer, Berlin.
23 Lee, O.M. 1994. The annual dynamics of standing crops and distribution of phytoplankton in Juam lake in 1992. Korean Journal of Limnology 27: 327-337.
24 Lee, O.M. and H.Y. Song. 1995. The annual dynamics of standing crops and distribution of phytoplankton in Juam lake in 1993. Korean Journal of Limnology 28: 427-436.
25 Moss, B. 1974. Diversity in fresh-water phytoplankton. American Midland Naturalist 90: 341-355.
26 Park, Y.S., R. Cereghino, A. Compin and S. Lek. 2003. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running water. Ecological Modelling 160: 165-280.   DOI
27 Na, J.E., M.H. Jeong, J.H. Park, S.D. Kim, B.J. Lim, H.W. Kim and H.Y. Lee. 2011. Relationships between phytoplankton community and sizes of reservoirs in Yeongsan and Seomjin river basins, Korea. Korean Journal of Environmental Biology 29(2): 107-112.
28 Na, J.E., M.H. Jeong, I.S. Cho, J.H. Park, K.S. Hwang, H.J. Song, B.J. Lim, G.H. La, H.W. Kim and H.Y. Lee. 2012. Phytoplankton commuinty in reservoirs of Yeongsan and Seomjin river basins, Korea. Korean Journal of Environmental Biology 30(1): 39-46.
29 Oh, H.M., C.Y. Ahn, J.W. Lee, T.S. Chon, K.H. Choi and Y.S. Park. 2007. Community patterning and identification of predominant factors in algal bloom in Daechung Reservoir (Korea) using artificial neural networks. Ecological Modelling 203: 109-118.   DOI
30 Park, Y.S., J. Tison, S. Lek, J.L. Giraudel, M. Coste and F. Delmas. 2006. Application of a self-organizing map to select representative species in multivariate analysis: a case study determining diatom distribution patterns across France. Ecological Informatics 1(3): 247-257.   DOI
31 Park, Y.S., Y.S. Kwon, S.J. Hwang and S. Park. 2014. Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map. Environmental Modelling & Software 55: 214-221.   DOI
32 Parmer, C.M. 1977. Algae and water pollution. Municipal environmental research laboratory office of research and development U.S. environmental protection agency Cincinnati, Ohio. 124pp.