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A Preliminary Study on the Establishment of Background Levels and Management Targets in the Coastal Ecosystem of Korean Peninsula Using Outlier Test

이상치 검증을 이용한 한반도 연안생태계의 배경 농도 및 관리 항목 도출에 대한 예비 연구

  • CHIN, BYUNG SUN (Department of Marine Biotechnology, Anyang University) ;
  • HWANG, IN SEO (Korea Marine Environment Management Corporation) ;
  • KIM, YOUNG NAM (Korea Marine Environment Management Corporation) ;
  • KOH, BYOUNG SEOL (Korea Marine Environment Management Corporation) ;
  • YOO, JEONG KYU (Korea Marine Environment Management Corporation) ;
  • JUNG, HOE IN (Korea Marine Environment Management Corporation) ;
  • YEO, JUNG WON (Korea Marine Environment Management Corporation) ;
  • WOO, SEUNG (Korea Marine Environment Management Corporation) ;
  • PARK, GYUNG SOO (Department of Marine Biotechnology, Anyang University)
  • Received : 2019.01.10
  • Accepted : 2019.02.18
  • Published : 2019.02.28

Abstract

The marine ecosystem survey investigates and analyzes multi-parameters at various times from various sites. Therefore, it is very difficult to analyze the complex ecological data of multi-items effectively, and it is more difficult to identify the current status and diagnose the problems of ecosystem through data analysis. Therefore, this paper aims to provide an example of interpretation of complex ecological data through analysis of distribution characteristics and outliers of ecological survey data. The main contents of the study are to elucidate the background levels of coastal ecosystem parameters considering the distribution characteristics of data, and to establish ecosystem monitoring indicators and an adaptive management system for the coastal waters in Korean Peninsula. The data used in this paper are based on the coastal ecosystem survey of the National Marine Ecosystem Monitoring Program conducted by the Ministry of Oceans and Fisheries (MOF) and the Korea Marine Environment Management Corporation (KOEM), and the major citations are from year 2015 to 2017. This article is a preliminary study to establish the above processes and the final result will be derived in 2020 when the coastal ecosystem survey is completed three times along the Korean coast.

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Fig. 1. Flow chart of adaptive management of marine ecosystem. Dotted lines indicate “adjustment” and/or “modification”.

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Fig. 2. Diagram of box&whisker plot and outlier.

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Fig. 3. Frequency of dissolved inorganic nitrogen (DIN) concentrations (μM) in May of 2015~2016.

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Fig. 4. Frequency of dissolved inorganic phosphorus (DIP) concentrations (μM) in May of 2015~2016.

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Fig. 5. Frequency of chlorophyll-a concentrations (㎍/L) in May of 2015~2016.

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Fig. 6. Frequency of phytoplankton densities (cells/L) in May of 2015~2016.

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Fig.7. Frequency of zooplankton densities (inds./m3) in May of 2015~2016.

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Fig. 8. Frequency of macro-benthos species diversity index(H') in May of 2015~2017.

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Fig. 9. Frequency of zooplankton species diversity index(H') in May of 2015~2017.

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Fig. 10. Box&whisker plot (left) and quartile distribution with outliers (right) of DIN in May of 2015~2016.

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Fig. 11. Box&whisker plot (left) and quartile distribution with outliers (right) of DIP in May of 2015~2016.

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Fig. 12. Box&whisker plot (left) and quartile distribution with outliers (right) of chlorophyll-a concentration in May of 2015~2016.

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Fig. 13. Box&whisker plot (left) and quartile distribution with outliers (right) of phytoplankton density in May of 2015~2016.

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Fig. 14. Box&whisker plot (left) and quartile distribution with outliers (right) of zooplankton density in May of 2015~2016.

Table 1. Survey parameters of coastal ecosystem in Korea

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Table 2. Comparison of descriptive statistics between raw and trimmed data by excluding outliers of zooplankton density (inds./m3) in May of 2015~2016

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Table 3. Comparison of descriptive statistics between raw and trimmed data by excluding outliers of phytoplankton density (cells/L) in May of 2015~2016

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Table 4. Comparison of descriptive statistics between raw and trimmed data by excluding outliers of macro-benthos density (inds./m2) in May of 2015~2016

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Table 5. Descriptive statistics of DIN (dissolved inorganic nitrogen) background level (μM) in the coast of Korean seas in May of 2015~2017

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Table 6. Descriptive statistics of DIP (dissolved inorganic phosphorus) background level (μM) in the coast of Korean seas in May of 2015~2017

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Table 7. Descriptive statistics of chlorophyll-a background level (μg/L) in the coast of Korean seas in May of 2015~2017

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Table 8. Descriptive statistics of phytoplankton background level (cells/L) in the coast of Korean seas in May of 2015~2017

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Table 9. Descriptive statistics of zooplankton background level (inds./m3) in the coast of Korean seas in May of 2015~2017

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Table 10. Defining short- and long-term monitoring indicators by frequency of outlier detections in the survey area

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References

  1. 장세경, 2015. 사범대생을 위한 확률과 통계. 경문사. 서울. 482 pp.
  2. 채영암, 구자옥, 서학수, 이영만, 정승근, 2005. 기초생물통계학. 향문사. 서울. 370 pp.
  3. 해양수산부와 해양환경공단, 2014. 해양생태계 기본조사 연보(제2권 해양보고구역특별조사/해양생태도). 249 pp.
  4. 해양수산부와 해양환경공단, 2015. 국가해양생태계종합조사 연보(2.서해.남해서부 연안생태계). 358 pp.
  5. 해양수산부와 해양환경공단, 2016. 국가해양생태계종합조사 연보(2.동해.남해동부.제주 연안생태계). 329 pp.
  6. 해양수산부와 해양환경공단, 2017. 국가해양생태계종합조사 연보(2.동해.서해.남해.제주 연안생태계). 641 pp.
  7. Choi, J.W., S.M. Hyun and M. Chang, 2003. The summer benthic environmental conditions assessed by the functional groups of macrobiotic fauna in Gwangyang Bay, southern coast of Korea. Korean J. Environ. Biol., 21: 103-113.
  8. Cousineau, D., U.D. Montreal and S. Chartier, 2010. Outlier detection and treatment: a review. International J. of Psychological Research, 3: 58-67. https://doi.org/10.21500/20112084.844
  9. Elfwing, T., C. Folke, M. McLachlan, E. Gorokhova, L. Kautsky, C. Humborg, J. Ebbesson, B. Bergman and R. Elmgren, 2014. Baltic ecosystem adaptive management. mini report. Stockholm University. Stockholm. 32 pp.
  10. Hirsch, R.M. and J.R. Slack, 1984. A nonparametric trend test for seasonal data with serial dependence. Water Resources Research, 20: 727-732. https://doi.org/10.1029/WR020i006p00727
  11. Jackson, D.A. and Y. Chen, 2004, Robust principal component analysis and outlier detection with ecological data. Environmetrics, 15: 129-139. https://doi.org/10.1002/env.628
  12. Jung, K.Y., I.J. Lee, K.L. Lee, S.U. Cheon, J.Y. Hong and J. M. Ahn, 2016. Long-term trend analysis and exploratory data analysis of Geumho river based on seasonal mann-kendall test. J. Env. Sci. Intnl, 25: 217-229. https://doi.org/10.5322/JESI.2016.25.2.217
  13. Kim, J.E., 2018. A study on the applicability of outlier detection methods for efficient management of water quality Data. Master Thesis, Gyeongsang National University. Jinju. 55 pp.
  14. Lee, C.H., 2008. Statistic method of detection outliers from irregularity data. Master Thesis, Kongju University, Kongju, 55 pp.
  15. Leys, C., C. Ley, O. Klein, P. Bernard and L. Licata, 2013. Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. JESP, 49: 764-766.
  16. Long, E.R., D.D. MacDonald, S.L. Smith and F.D. Calder, 1995. Incidence of adverse biological effects within ranges of chemical concentrations in marine and estuarine sediments. Environ. Manage, 19: 81-97. https://doi.org/10.1007/BF02472006
  17. MOF and KOEM, 2014. National investigation of marine ecosystem protocol, Ministry of Oceans and Fisheries (MOF) and Korea Marine Environment Management Cooperation (KOEM), Seoul, 141 pp.
  18. MOF and KOEM, 2016. Protocol of national survey on marine ecosystem, Ministry of Oceans and Fisheries (MOF) and Korea Marine Environment Management Cooperation (KOEM), Seoul, 148 pp.
  19. Rho, T.K., T.S. Lee, S.R. Lee, M.S. Choi, C. Park, J.H. Lee, J.Y. Lee and S.S. Kim, 2012. Reference values and water quality assessment based on the regional environmental characteristics. The Sea, 17: 45-58. https://doi.org/10.7850/jkso.2012.17.2.045
  20. Sokal, R.R. and F.J. Rohlf, 1995. Biometry: the principles and practice of statistics in biological research. W.H.Freeman & Co, New York, 915 pp.
  21. Wang, C., J. Caja and E. Gomez, 2018. Comparison of methods for outlier identification in surface characterization. Measurement, 117: 312-325. https://doi.org/10.1016/j.measurement.2017.12.015
  22. Yoo, J.W., Y.W. Lee, J.L. Ruesink, C.G. Lee, C.S. Kim, M.R. Park, K.T. Yoon, I.S. Hwang, J.H. Maeng, R. Rosenberg and J.S. Hong, 2010. Environmental quality of Korean coasts as determined by modified Shannon-Wiener evenness proportion. Environ. Monit. Assess., 170: 141-157. https://doi.org/10.1007/s10661-009-1222-0