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  • KOREAN
  • P-ISSN2287-8327
  • E-ISSN2288-1220
  • SCOPUS, KCI

ISSN : 2287-8327

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Vol.34 No.1

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Longitudinal patterns in limnological characteristics based on long-term ecological research in the Nakdong River

Journal of Ecology and Environment / Journal of Ecology and Environment, (P)2287-8327; (E)2288-1220
2011, v.34 no.1, pp.39-47





& (2011). Longitudinal patterns in limnological characteristics based on long-term ecological research in the Nakdong River. Journal of Ecology and Environment, 34(1), 39-47.

Abstract

In 2004, the Korean Ministry of Environment initiated the National Long Term Ecological Research (LTER) program. We have attempted to analyze longitudinal patterns in limnological aspects based on LTER monitoring data collected from June 1994 to May 2008 in the Nakdong River, a regulated river ecosystem. Factor analysis, a multivariate ordination statistical method, was employed. Relationships among measured parameters were evaluated at different sites of the river. Overall, the trophic state of the Nakdong River was hyper-trophic (total nitrogen, 3.5-4.8 mg/L; total phosphorous, 57-95 μg/L; chlorophyll a, 15.2-38.5 μg/L). Among the three study sites, recurrent algal blooms consistently appeared in the lower reaches of the river. Extracted factors revealed different patterns, particularly for chlorophyll a concentration, and a rigid separation of limnological patterns was found at site 3 (Mulgeum) based on the factor analysis. From the results, more sustained observations through LTER will be helpful to manage and conserve ecosystems in the future. Furthermore, recent issues regarding ecosystem dynamics such as water quality with respect to global climate change require long-term datasets. Information collected by the LTER approach is hereby indispensable for ecological characterization.

keywords
factor analysis, longitudinal distribution, long-term ecological research, phytoplankton proliferation, gulated river

Reference

1.

Arhonditsis GB, Qian SS, Stow CA, Lamon EC, Reckhow KH. 2007. Eutrophication risk assessment using Bayesian calibration of process-based models: application to a mesotrophic lake. Ecol Model 208: 215-229.

2.

Bae ZU, Lee SH, Lee SH, Song HB. 2000. Long-term change of nutrient salt concentration in the Kumho River water. J Korea Soc Environ Anal 3: 101-108.

3.

Bahnwart M, Hübener T, Schubert H. 1999. Downstream changes in phytoplankton composition and biomass in a lowland river-lake system (Warnow River, Germany). Hydrobiologia 391: 99-111.

4.

Cho KJ, Chung IK, Lee JA. 1993. Seasonal dynamics of phytoplankton community in the Naktong River Estuary, Korea. Korean J Phycol 8: 15-28.

5.

Choi YC, Park CK. 1986. Eutrophication in the downstream of Nakdong River. Bull Korean Fish Soc 19: 339-346.

6.

Chung J, Kim HS, Kim YJ. 1994. Structure of phytoplankton community in the Nakdong River Estuary Dam. Korean J Limnol 27: 33-46.

7.

Doornbos G, Groenendijk AM, Jo YW. 1986. Nakdong estuary barrage and reclamation project: preliminary results of the botanical, macrozoobenthic and ornithological studies. Biol Conserv 38: 115-142.

8.

Fielding AH. 1999. An introduction to machine learning methods. In: Machine Learning Methods for Ecological Applications (Fielding AH, ed). Kluewer Academic Publishers, Norwell, MA, pp 1-35.

9.

Goethals PLM, Dedecker AP, Gabriels W, Lek S, De Pauw N. 2007. Applications of artificial neural networks predicting macroinvertebrates in freshwaters. Aquat Ecol 41: 491-508.

10.

Ha K, Cho EA, Kim HW, Joo GJ. 1999. Microcystis bloom formation in the lower Nakdong River, South Korea: importance of hydrodynamics and nutrient loading. Mar Freshw Res 50: 89-94.

11.

Hobbie JE, Carpenter SR, Grimm NB, Gosz JR, Seastedt TR. 2003. The US Long Term Ecological Research Program. BioScience 53: 21-32.

12.

Jeong KS, Kim DK, Joo GJ. 2007. Delayed influence of dam storage and discharge on the determination of seasonal proliferations of Microcystis aeruginosa and Stephanodiscus hantzschii in a regulated river system of the lower Nakdong River (South Korea). Water Res 41: 1269-1279.

13.

Joo GJ. 1995. Ecological Research of the Nakdong River (1957-1994). Kumjung Press, Busan.

14.

Joo GJ, Kim HW, Ha K, Kim JK. 1997. Long-term trend of the eutrophication of the lower Nakdong River. Korean J Limnol 30 Suppl: 472-480.

15.

Kim DK, Jeong KS, Whigham PA, Joo GJ. 2007. Winter diatom blooms in a regulated river in South Korea: explanations based on evolutionary computation. Freshw Biol 52: 2021-2041.

16.

Kim HW, Ha K, Joo GJ. 1998. Eutrophication of the lower Nakdong River after the construction of an estuarine dam in 1987. Int Rev Hydrobiol 83: 65-72.

17.

Kwon OS. 1991. Effect of river barrage on the changes of environmental factors in Naktong Estuary. Korean J Limnol 24: 231-238.

18.

Kwon YS, An KG. 2006. Biological stream health and physico-chemical chracteristics in the Keum-Ho River watershed. Korean J Limnol 39: 145-156.

19.

Lee W, Kwon O. 1992. An analysis of the environmental factors in the Nakdong estuarine ecosystem. The 1st symposium on the Nakdong Estuarine Ecosystem. Inje University, Gimhae.

20.

Moon CH, Choi HJ. 1991. Studies on the environmental characteristics and phytoplankton community in the Nakdong River Estuary. J Oceanol Soc Kor 26: 144-154.

21.

Park SB, Lee SK, Chang KH, Jeong KS, Joo GJ. 2002. The impact of monsoon rainfall (Changma) on the changes of water quality in the lower Nakdong River (Mulgeum). Korean J Limnol 35: 160-171.

22.

Regan HM, Colyvan M, Burgman MA. 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecol Appl 12: 618-628.

23.

Seo JK, Chung IK. 1994. The phytoplankton community structure in the Nakdong River Mouth. Korean J Limnol 27: 227-250.

24.

Shan Y, Paull D, McKay RI. 2006. Machine learning of poorly predictable ecological data. Ecol Model 195: 129-138.

25.

Shim SB, Oh YS, Lee YS, Koh DK. 1995. Eutrophication forecasting of Daechŏng Reservoir using WASP5 water quality model. J Inst Constr Technol 14: 41-53.

26.

Talib A, Recknagel F, van der Molen D. 2007. Patternising phytoplankton dynamics of two shallow lakes in response to restoration measures by applying non-supervised artificial neural networks. Environmentalist 27: 195-205.

27.

Taylor LR. 1989. Objective and experiment in long-term research. In: Long-Term Studies in Ecology: Approaches and Alternatives (Likens GE, ed). Springer-Verlag, New York, NY, pp 20-70.

28.

Wetzel RG, Likens GE. 2000. Limnological Analyses. Springer-Verlag, New York, NY.

29.

Yoo HS. 2002. Statistical analysis of factors affecting the Han River water quality. J Korean Soc Environ Eng 24: 2139-2150.

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