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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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

Ecosystem Health Diagnosis Using Integrative Multiple Eco-metric Model Approaches

Journal of Ecology and Environment / Journal of Ecology and Environment, (P)2287-8327; (E)2288-1220
2013, v.36 no.1, pp.73-83
https://doi.org/10.5141/ecoenv.2013.009
김현맥 (충남대학교)
안광국 (충남대학교)
최지웅 (충남대학교)

Abstract

The object of this study was to evaluate lotic ecosystem health using multiple eco-metric approaches such as water chemistry diagnosis, physical habitat health evaluations, and biological integrity modeling at 100 streams of four major watersheds. For the study, eight chemical water quality parameters such as nutrients (N, P) and organic material were measured and 11-metric models of Qualitative Habitat Evaluation Index (QHEI) and multiple eco-metric health assessment model (MEHA) were applied to the four major watershed. Nutrient analysis of nitrogen (N) and phosphorus (P) in all watersheds indicated a eutrophic state depending on the locations of sampling streams. Physical habitat health, based on the QHEI model, averaged 114 (range: 56 - 194), judging as a "good condition" by the criteria of Plafkin et al. (1989). In addition,primary (H1 - H4), secondary (H5 - H7), and tertiary habitat metric variables (H8 - H11) were analyzed in relation to the physical habitat degradations. The plots of tolerant species (PTS) and sensitive species (PSS) to water quality showed that the proportions of PTS had positive linear functions with nutrients, and that the PSS had inverse linear relations with the chemical variables. The model of eco-metric health assessment showed that mean MEHA was 20.4, indicating a fair condition. Overall, our data suggest that water chemistry, based on nutrients and organic matter, directly modified the trophic structures in relation to food chain in the aquatic ecosystems, and then these directly influenced the compositions of tolerance/sensitive species, resulting in degradations of overall ecological health.

keywords
eco-metric model, water chemistry, physical habitat health, trophic structure

참고문헌

1.

An KG, Lee EH. 2006. Ecological health assessments of Yoogu Stream using a fish community metric model. Korean J Limnol 39: 310-319.

2.

An KG, Kim JH. 2005. A diagnosis of ecological health using a physical habitat assessment and multimetric fish model in Daejeon Stream. Korean J Limnol 38: 361-371.

3.

An KG, Choi JW. 2006. Intergrated ecological health assessments in Cho River. Korean J Limnol 39: 320-330.

4.

An KG, Yang WM. 2007. Water quality characteristics in Keum River watershed. Korean J Limnol 40: 110-120.

5.

An KG, Yeom DH, Lee SK. 2001. Rapid bioassessments of Kap Stream using the index of biological integrity. Korean J Environ Biol 19: 216-269.

6.

An KG, Kim DS, Kong DS, Kim SD. 2004. Integrative assessments of a temperate stream based ona multimetric determination of biological integrity, physical habitat evaluations, and toxicity tests. B Environ Contam Tox 73: 471-478.

7.

An KG, Lee JY, Jang HN. 2005. Ecological health assessments and water quality patterns in Youdeung Stream. Korean J Limnol 38: 341-351.

8.

An KG, Lee JY, Bae DY, Kim JH, Hwang SJ, Won DH, Lee JK, Kim CS. 2006. Ecological assessments of aquatic environment using multi-metric model in major nationwide stream watersheds. J Korean Soc Water Environ. 22: 796- 804.

9.

An KG, Jung SH, Choi SS. 2001. An evaluation on health conditions of Pyong-Chang River using the index of biological integrity (IBI) and qualitative habitat evaluation index (QHEI). Korean J Limnol 34: 153-165.

10.

An KG, Park SS, Shin JY. 2002. An evaluation of a river health using the index of biological integrity along with relations to chemical and habitat conditions. Environ Int 28: 411-420.

11.

An KG, Hong YP, Kim JK, Choi SS. 1992. Studies on zonation and community analysis of freshwater fish in Kum-river. Korean J Limnol 25: 99-112.

12.

Bae DY, An KG. 2006. Stream ecosystem assessments, based on a biological multimetric parameter model and water chemistry analysis. Korean J Limnol 39: 198-208.

13.

Baer KE, Pringle CM. 2000. Special problems of urban river conservation: the encroaching megalopolis. In: Global Perspectives on River Conservation: Science, Policy, and Practice (Boon PJ, Davies BR, Petts GE, eds). Wiley, Chichester, United Kingdom. pp 385-402.

14.

Barbour MT, Gerritsen J, Snyder BD, Stribling JB. 1999. Rapid bioassessment protocols for use in streams and wadeable rivers: periphyton, benthic macroinvertebrates and fish, 2nd Ed. EPA 841-B-99-002. US. EPA Office of Water, Washington, DC., USA.

15.

Choi JK, Byeon HK, Seok HK. 2000. Studies on the dynamics of fish community in Wonju Stream. Korean J Limnol 33: 274-281.

16.

Choi JW, Lee EH, Lee JH, An KG. 2007. Biological water quality assessments using fish assemblage in Nakdong River watershed. Korean J Limnol 40: 254-263.

17.

Ganasan V, Hughes RM. 1998. Application of an index of biological integrity (IBI) to fish assemblages of the rivers Khan and Kshipra (Madhya Pradesh), India. Freshwater Biol 40: 367-383.

18.

Han JH, Bae DY, An KG. 2007. Ecosystem health assessments of Changwon Stream as a preliminary diagnosis for aquatic ecosystem restoration. Korean J Limnol 40: 527-536.

19.

Hwang GH, Jeon SR, Kim MO, Hoeng CS. 1992. Fish fauna of the lower area of Kum-river. J Basic Science 6: 53-74.

20.

Hwang SJ, Kim NY, Won DH, An KG, Lee JK, Kim CS. 2006. Biological assessment of water quality by using epilithic diatoms in major river systems (Geum, Youngsan, Seomjin River). J Korean Soc Water Environ 22: 784-795.

21.

Jang MH, Cho GI, Joo GJ. 2001. Fish fauna of the main channel in the Nakdong River. Korean J Limnol 34: 223-238.

22.

Jeong KS, Joo GJ, Kim HW, Ha K, Recknagel F. 2001. Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network. Ecol Model 146: 115-129.

23.

Karr JR. 1981. Assessment of biotic integrity using fish communities. Fisheries 6: 21-27.

24.

Karr JR, Fausch KD, Angermeier PL, Yant PR, Schlosser IJ. 1986. Assessment of biological integrity in running waters: a method and its rationale. Special publication 5. Illinois Natural History Survey, Champaign, Illinois.

25.

Karr JR, Heidinger RC, Helmer EH. 1985a. Effects of chlorine and ammonia from wastewater treatment facilities on biotic integrity. J Wwater Pollut Con F 57: 912-915.

26.

Karr JR, Toth LA, Dudley DR. 1985b. Fish communities of midwestern rivers: a history of degradation. BioScience 35: 90-95.

27.

Keeler AG, McLemore D. 1996. The value of incorporating bioindicators in economic approaches to water pollution control. Ecol Econ 19: 237-245.

28.

Kim HM, Lee JH, An KG. 2008. Water quality and ecosystem health assessments in urban stream ecosystems. Korean J Environ Biol 26: 311-322.

29.

Kim JH, Lee EH, An KG. 2007. Ecosystem diagnosis and evaluations using various stream ecosystem models. Korean J Limnol 40: 370-378.

30.

Kim YH, Cho JY. 1999. Oxygen consumption in Nile Tilapia, Oreochromis niloticus, in relation to body weight and water temperature. J Aquaculture 12: 247-254.

31.

Ko MH, Park JY, Lee YJ. 2008. Feeding habits of an introduced large mouth bass, Micropterus salmoides (Perciformes; Centrachidae), and its influence on ichthyofauna in the Lake Okjeong, Korea. Korean J Ichthyol 20: 36-44.

32.

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

33.

Lee EH, Choi JW, Lee JH, An KG. 2007. Ecological health diagnosis of Sumjin River using fish model metric, physical habitat parameters, and water quality characteristics. Korean J Limnol 40: 184-192.

34.

Lee EH, Yoon SH, Lee JH, An KG. 2008. Total mercury contents in the tissues of Zacco platypus and ecological health assessments in association with stream habitat characteristics. Korean J Limnol 41: 188-197.

35.

Lee JH, An KG. 2007. Seasonal dynamics of fish fauna and compositions in the Gap Stream along with conventional water quality. Korean J Limnol 40: 503-510.

36.

Limburg KE, Schmidt RE. 1990. Patterns of fish spawning in Hudson River tributaries: response to an urban gradient? Ecology 71: 1231-1245.

37.

McCune B, Mefford MJ. 1999. PC-ORD. Multivariate analysis of ecological data. Version 4.0. MjM Software, Gleneden Beach, Oregon, USA.

38.

MEK (Ministry of Environment, Korea). 2006. Researches for integrative assessment methodology of aquatic environments (Ⅲ) : Development of aquatic ecosystem health assessment and evaluation system. National Institute of Environmental Research (NIER). Incheon, Korea.

39.

Moon WK, An KG. 2007. Environmental characteristics and fish community of small first-order stream. Korean J Limnol 40: 163-170.

40.

Morley SA, Karr JR. 2002. Assessing and restoring the health of urban streams in the Puget Sound Basin. Conserv Biol 16: 1498-1509.

41.

Moyle PB, Leidy RA. 1992. Loss of biodiversity in aquatic ecosystems: evidence from fish faunas. In: Conservation Biology: The Theory and Practice of Nature Conservation, Preservation and Management (Fielder PL, Jain SK, eds). Chapman and Hall, New York. pp 127-169.

42.

Ohio EPA, 1989. Biological criteria for the protection of aquatic life (Vol III); standardized biological field sampling and laboratory method for assessing fish and macroinvertebrate communities. USA.

43.

Olguin HG, Salibian A, Puig A. 2000. Comparative sensitiv-ity of scenedesmus acutus and chlorella pyrenoidosa as sentinel organisms for aquatic ecotoxicity assessment: studies on a highly polluted urban river. Environ Toxicol 15: 14-22.

44.

Park HM, Lee EH, An KG. 2009. Analysis of fish guild compositions and total mercury contents of fish tissues in analysis in Mangyeong River. Korean J Limnol 42: 172-182

45.

Park JY, Oh JM, Kim YC. 2001. Runoff characteristics of major pollutants at the inflow stream to Lake Sap-Kyo in rainy periods. Korean J Limnol 34: 62-69

46.

Plafkin JL, Barbour MT, Porter KD, Gross SK, Hughes RM. 1989. Rapid bioassessment protocols for use in streams and rivers: benthic macroinvertebrate and fish. EPA/444/4-89-001. Office of water regulations and standards US EPA, Washington DC, USA.

47.

Pont D, Hugueny B, Beier U, Goffaux D, Melcher A, Noble R, Rogers C, Roset N, Schmutz S. 2006. Assessing river biotic condition at a continental scale: a european approach using functional metrics and fish assemblages. J Appl Ecol 43: 70-80.

48.

Principe JC, Euliano NR, Lefebvre WC. 2000. Neural and adaptive systems: fundamentals through simulations.New York, John Wiley & Sons, Inc.

49.

Ricciardi A, Rasmussen JB. 1999. Extinction rates of North American freshwater fauna. Conserv Biol 13: 1220-1222.

50.

Sanders RE, Milter RJ, Yondr CO, Rankin ET. 1999. The use of external deformities, erosion, lesion, and tumors (DELT Anomalies) in fish assemblages for characterizing aquatic resources: A case study of seven Ohio streams.In: Assessing the Sustainability and Biological Integrity of Water Resources Using Fish Communities (Simon TP,eds). CRC Press. pp 225-245.

51.

SPSS. 2004. SPSS systems for windows. Version 12.0 KO for windows, USA.

52.

Strahler AN. 1957. Quantitative analysis of watershed geomorphology.Eos T Am Geophys Un 38: 913-920.

53.

US EPA. 1993. Fish field and laboratory methods for evaluating the biological integrity of surface waters. EPA 600-R-92-111. Environmental Monitoring systems Laboratory- Cincinnati Office of Modeling, Monitoring Systems,and Quality Assurance Office of Research Development,US EPA, Cincinnati, Ohio 45268, USA.

54.

Won DH, Jun YC, Kwon SJ, Hwang SJ, An KG, Lee JK. 2006. Development of Korean saprobic index using benthic macroinvertebrates and its application to biological stream environment assessment. J Korean Soc Water Environ 22: 768-783.

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