Browse > Article
http://dx.doi.org/10.11614/KSL.2020.53.1.001

Establishing Diagnosis Systems for Impaired Stream Ecosystem using Stream/River Ecosystem Survey and Health Assessment  

Lee, Jong-Won (Department of Forestry and Landscape Architecture, Konkuk University)
Lee, Sang-Woo (Department of Forestry and Landscape Architecture, Konkuk University)
Hwang, Soon-Jin (Department of Environmental Health Science, Konkuk University)
Jang, Min-Ho (Department of Biology Education, Kongju National University)
Won, Doo-Hee (Doohee Institute of Ecological Research, Korea Ecosystem Service Inc.)
An, Kyung-Jin (Department of Forestry and Landscape Architecture, Konkuk University)
Park, Hye-Jin (Ministry of Environment, Water Resource Policy Department, Water Resource Policy Division)
Lee, Junga (Department of Forestry and Landscape Architecture, Konkuk University)
Publication Information
Korean Journal of Ecology and Environment / v.53, no.1, 2020 , pp. 1-10 More about this Journal
Abstract
The Stream/River Ecosystem Survey and Health Assessment has been carried out regarding the ecological health of the streams by the Ministry of Environment (MOE), South Korea. However, the sources of impairment of the stream ecosystem and the interactions between the sources, stressors, and the responses of impaired streams have not been taken into consideration. The purpose of this study is to propose the establishment of diagnosis systems for the impaired stream ecosystem because of the need to incorporate the same in the making of the policy to enable the recovery and improvement of the health of the impaired streams or river ecosystem. First, we define the concept of a diagnosis of the impaired stream or river ecosystem through a literature review. Second, through case studies [e.g., US CADDIS (Causal Analysis/Diagnosis Decision Information System), AUS. Eco Evidence, EU WFD (Water Framework Directive)], we try to develop the diagnosis system for the making of policy. In this study, the diagnosis system that is proposed consists of eight steps including the basic data collection, detecting or suspecting impairment, defining the impaired stream reach, identifying the biological impaired cases and listing the candidate causes, illustrating the interactive conceptual diagrams between stressors and responses, investigating the stressors-responses in the field, verifying causes and identifying the probable causes of the impaired cases, and summarizing and proposing the restoration of the streams. The results of this study will support and enable efficient decision-making for sustainable stream restoration and management based on the diagnosis of the probable causes for the impaired complex and the diverse stream ecosystem.
Keywords
stream ecosystem; stream health; water management; stream diagnosis system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Lee, Y.K. and S.W. Lee. 2012. Stream Classification Based on the Ecological Characteristics for Effective Stream Mannagement - In the Case Nakdong River -. Journal of the Korea Society of Environmental Restoration Technology 15: 103-114 (Korean).
2 Ministry of Environment. 2017. A study on Aquatic ecosystem reference stream (II) (Korean).
3 Nichols, S., A. Webb, R. Norris and M. Stewardson. 2011.Eco Evidence analysis methods manual: a systematic approach to evaluate causality in environmental science. eWater Cooperative Research Centre. Also available online at http://tinyurl.com/Eco-Evidencemanual.
4 Nichols, S.J., M. Peat and J.A. Webb. 2017. Challenges for evidence-based environmental management: what is acceptable and sufficient evidence of causation?. Freshwater Science 36: 240-249.   DOI
5 U.S. EPA (Environmental Protection Agency). 2017. Causal Analysis/Diagnosis Decision Information System (CADDIS), https://www.epa.gov/caddis, Office of Research and Development, Washington, DC.
6 Voulvoulis, N., K.D. Arpon and T. Giakoumis. 2017. The EU Water Framework Directive: From great expectations to problems with implementation. Science of the Total Environment 575: 358-366.   DOI
7 Webb, J.A., K.A. Miller, M.J. Stewardson, S.C. de Little, S.J. Nichols and S.R. Wealands. 2015. An online database and desktop assessment software to simplify systematic reviews in environmental science. Environmental Modelling and Software 64: 72-79.   DOI
8 Horne, A., A. Webb, M. Stewardson, B. Richter and M. Acreman. (Eds.). 2017. Water for the environment: From policy and science to implementation and management. Academic Press.
9 An, K.J., S.Y. Kim and S.W. Lee. 2018. Analysis of Relative Importance of Socio/Economic Factors in Establishing Diagnosis Systems for Impaired Stream Ecosystem. Journal of the Korea Society of Environmental Restoration Technology 21: 13-26 (Korean).
10 Borja, A., I. Galparsoro, O. Solaun, I. Muxika, E.M. Tello, A. Uriarte and V. Valencia. 2006. The European Water Framework Directive and the DPSIR, a methodological approach to assess the risk of failing to achieve good ecological status. Estuarine, Coastal and Shelf Science 66:84-96.   DOI
11 Kim, M.J. 2007. Suggestions for Ecological Stream Restoration. Korean Society of Environmental Impact Assessment 16:59-68 (Korean).
12 IMPRESS, W. 2003. Guidance for the analysis of pressures and impacts in accordance with the Water Framework Directive. In Guidance Document prepared by WG IMPRESS. Available online at http://forum.europa. eu. int/Public/irc/env/wfd/library, accessed at (Vol. 7).
13 Jeon, S.H. 2016. Some Problems and Improvement of Domestic System for River Environment Assessment. Journal of the Korean Society of Hazard Mitigation 16: 305-317 (Korean).   DOI
14 Kim, H.J., S.J. Lee and K.G. An. 2010. Comparative Analysis of Ecological Health Conditions Before and After Ecological Restoration in Changwon Stream and Nam Stream. Korean Journal of Ecology and Environment 43: 307-318 (Korean).
15 Kim, Y.J., H.N. Kim and O.M. Lee. 2012. The biological assessment of water quality using DAIpo and TDI of Paju Ecological wetland. Korean Society of Environmental Impact Assessment 21: 229-238 (Korean).