Relationships between Fish Communities and Environmental Variables in Islands, South Korea
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초록
Most of the islands of Korea are distributed in the South and West Sea, and it consists of independent small stream. As a result, the fish community that inhabits the island's stream is isolated from the mainland and other island. This study utilized a Self-Organizing Map (SOM) and a random forest model to analyze the relationship between environmental variables and fish communities inhabiting islands in South Korea. Through the SOM analysis, the fish communities were divided into three clusters, and there were differences in biotic and abiotic factors between these groups. Cluster I consisted of sites with relatively larger island areas and a higher number of species and population. It was found that 15 out of 16 indicator species were included. Meanwhile, the remaining clusters had fewer species and populations. Cluster II, especially, showed the lowest impact from physical variables such as water width and depth. As a result of predicting the species richness using the random forest model, physical variables in habitats, such as stream width and water depth, had a relatively higher importance on species richness. On the other hand, forest area was the most important variables for predicting Shannon diversity, followed by maximum water depth, and gravel. The results suggest that this study can be used as basic data for establishing a stream ecosystem management strategy in terms of conservation and protection of biological resources in streams of islands.
Abstract
Most of the islands of Korea are distributed in the South and West Sea, and it consists of independent small stream. As a result, the fish community that inhabits the island's stream is isolated from the mainland and other island. This study utilized a Self-Organizing Map (SOM) and a random forest model to analyze the relationship between environmental variables and fish communities inhabiting islands in South Korea. Through the SOM analysis, the fish communities were divided into three clusters, and there were differences in biotic and abiotic factors between these groups. Cluster I consisted of sites with relatively larger island areas and a higher number of species and population. It was found that 15 out of 16 indicator species were included. Meanwhile, the remaining clusters had fewer species and populations. Cluster II, especially, showed the lowest impact from physical variables such as water width and depth. As a result of predicting the species richness using the random forest model, physical variables in habitats, such as stream width and water depth, had a relatively higher importance on species richness. On the other hand, forest area was the most important variables for predicting Shannon diversity, followed by maximum water depth, and gravel. The results suggest that this study can be used as basic data for establishing a stream ecosystem management strategy in terms of conservation and protection of biological resources in streams of islands.
참고문헌 (65)
- "SOM toolbox" (2000)[URL]
- Allan, J.D., "Stream Ecology: Structure and Function of Running Waters" (1995), Chapman and Hall
- Barker, L. S., "Use of Maryland Biological Stream Survey data to determine effects of agricultural riparian buffers on measures of biological stream health", Environmental Monitoring and Assessment, 117, pp.1~19 (2006)
- Breiman, L., "Random forests", Machine Learning, 45, pp.5~32 (2001)
- Carpenter, S. R., "Cascading trophic interactions and lake productivity", BioScience, 35, pp.634~639 (1985)
- 채병수, "낙동강 상류의 어류상과 군집 구조", 한국어류학회지, 27(2), pp.116~132 (2015), 한국어류학회
- 채병수, "여수반도와 금오열도의 담수어류상", 한국어류학회지, 19(3), pp.225~235 (2007), 한국어류학회
- Cheng, L., "Predicting fish assemblages and diversity in shallow lakes in the Yangtze River basin", Limnologica, 42, pp.127~136 (2012)
- Choi, J. S., "Fish Fauna in Ganghwado, Korea", Journal of Environmental Research, 5, pp.1~13 (2008)
- Choi, J. S., "Ichthyofauna in Gyodongdo and Seokmodo, Korea", Journal of Environmental Research, 5, pp.50~61 (2008)
- Choi, K. C., "The distribution of freshwater fishes for the several islands province of Korea", Bulletin of the Korean Association for Conservation of Nature, 2, pp.119~136 (1980)
- Cummins, K. W., "An evaluation of some techniques for the collection and analysis of benthic samples with special emphasis on lotic waters", American Midland Naturalist, 67, pp.477~504 (1962)
- Cutler, D. R., "Random forests for classification in ecology", Ecology, 88, pp.2783~2792 (2007)
- Effects of Water Quality and Habitat on Composition of Fish Communities in the Upper Colorado River Basin, "Deacon, J. R.", U.S. Department of the Interior, U.S. Geological Survey, ~ (1997)
- Dufrêne, M., "Species assemblages and indicator species : the need for a flexible asymmetrical approach", Ecological Monographs, 67, pp.345~366 (1997)
- Genito, D., "Response of stream macroinvertebrates to agricultural land cover in a small watershed", Journal of Freshwater Ecology, 17, pp.109~119 (2002)
- Gorman, M.L., "Island Ecology" (1979), Chapman and Hall
- Grossman, G., "Assemblage organization in stream fishes : effects of environmental variation and interspecific interactions", Ecological Monographs, 68, pp.395~420 (1998)
- Haigh, M. J., "Headwater deforestation : a challenge for environmental management", Global Environmental Change, 14, pp.51~61 (2004)
- 한정호, "금강 중∙하류역의 이∙화학적 수질특성 및 어류 군집특성", 환경생물, 31(3), pp.180~188 (2013), 한국환경생물학회[DOI]
- 한정호, "보길도 소하천 담수어류상 및 군집구조", 한국환경생태학회지, 31(1), pp.72~80 (2017), 한국환경생태학회[DOI]
- 한정호, "남해도 소하천 담수어류 군집에 관한 연구", 한국환경생태학회지, 30(4), pp.730~744 (2016), 한국환경생태학회
- Harding, J. S., "Stream biodiversity : the ghost of land use past", Proceedings of the National Academy of Sciences of the United States of America, 95, pp.14843~14847 (1998)
- Harris, J. H., "The use of fish in ecological assessments", Australian Journal of Ecology, 20, pp.65~80 (1995)
- He, Y., "Predicting assemblages and species richness of endemic fish in the upper Yangtze River", The Science of the Total Environment, 408, pp.4211~4220 (2010)
- 홍선기, "서남해 도서자연자원의 생태적 가치와 지속가능한 활용", 『도서문화』, (38), pp.331~358 (2011), 도서문화연구원[DOI]
- Hughes, R. M., "Landscape Influences on Stream Habitats and Biological Assemblages" (2006), American Fisheries Society
- Ibarra, A. A., "Modelling the factors that influence fish guilds composition using a back-propagation network : assessment of metrics for indices of biotic integrity", Ecological Modelling, 160, pp.281~290 (2003)
- Jackson, D. A., "What controls who is where in freshwater fish communities-the roles of biotic, abiotic, and spatial factors", Canadian Journal of Fisheries and Aquatic Sciences, 58, pp.157~170 (2001)
- Karr, J. R., "The ecology of natural disturbance and patch dynamics", pp.153~168 (1985), Academic Press
- 김현희, "전라남도 남해안 도서식물상의 도서생물 지리학적 특성", 한국기후변화학회지, 7(2), pp.143~155 (2016), 한국기후변화학회[DOI]
- Kim, I. S., "Fish fauna of the Kumo islands, Chollanam-do, Korea", The Report of the KACN, 32, pp.193~209 (1994)
- 김맹진, "제주도 사계연안 어류군집의 종조성과 격월별 변동", 한국어류학회지, 26(3), pp.212~221 (2014), 한국어류학회
- 김농오, "우리나라 도서(島嶼)의 지속가능한 해양 생태관광 개발 방안", 관광연구저널, 34(6), pp.21~41 (2020), 한국관광연구학회[DOI]
- Kohonen, T., "Self-Organizing Maps" (2001), Springer
- Kwon, Y. S., "Predicting potential impacts of climate change on freshwater fish in Korea", Ecological Informatics, 29, pp.156~165 (2015)
- Kwon, Y. S., "Response of fish communities to various environmental variables across multiple spatial scales", International Journal of Environmental Research and Public Health, 9, pp.3629~3653 (2012)
- Lee, I. K., "Studies on the distribution of fresh-water fishes from Jeju Island, Korea", Journal of Natural Sciences of Sang Myung University, 6, pp.23~51 (1999)
- 이완옥, "Distribution characteristics of freshwater fish in Jeju-do, Korea", Journal of Asia-Pacific Biodiversity, 8(1), pp.83~94 (2015), 국립중앙과학관
- MacArthur, R. H., "The Theory of Island Biogeography" (1967), Princeton University Press
- McCune, B., "PC-ORD: Multivariate Analysis of Ecological Data", MjM Software Design, ~ (1999)
- Mielke, P. W., "Multiresponse permutation procedures for a priori classifications", Communications in Statistics-Theory and Methods, 5, pp.1409~1424 (1976)
- The Survey and Evaluation of Aquatic Ecosystem Health in Korea, "Ministry of Environment", Ministry of Environment, National Institute of Environmental Research, ~ (2020)
- Moisen, G. G., "Comparing five modelling techniques for predicting forest characteristics", Ecological Modelling, 157, pp.209~225 (2002)
- Morgan, R. P., "Urbanization effects on stream fish assemblages in Maryland, USA", Journal of the North American Benthological Society, 24, pp.643~655 (2005)
- National Institute of Environmental Research(NIER), "Guidelines for Survey and Assessment of Stream", River Ecosystem Health (Stream), 2019
- Pal, M., "Random forest classifier for remote sensing classification", International Journal of Remote Sensing, 26, pp.217~222 (2005)
- Park, Y. S., "Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters", Ecological Modelling, 160, pp.265~280 (2003)
- Park, Y. S., "Stream fish assemblages and basin land cover in a river network", The Science of the Total Environment, 365, pp.140~153 (2006)
- Park, Y. S., "Applic ation of a self-organizing map to select representative species in multivariate analysis : a case study determining diatom distribution patterns across France", Ecological Informati cs, 1, pp.247~257 (2006)
- Peters, J., "Random forests as a tool for ecohydrological distribution modelling", Ecological Modelling, 207, pp.304~318 (2007)
- Petry, P., "Relationships between fish assemblages, macrophytes and environmental gradients in the Amazon River floodplain", Journal of Fish Biology, 63, pp.547~579 (2003)
- Power, M. E., "Grazing minnows, piscivorous bass, and stream algae : dynamics of a strong interaction", Ecology, 66, pp.1448~1456 (1985)
- "Labdsv : Ordination and Multivariate Analysis for Ecology. R Package Version 1.8-0" (2016)[URL]
- R. Robnik-Šikonja, M., "Improving random forests", Machine learning: ECML 2004, pp.359~370 (2004), Springer
- Roth, N. E., "Landscape influences on stream biotic integrity assessed at multiple spatial scales", Landscape Ecology, 11, pp.141~156 (1996)
- Rowe, D. C., "Fish assemblage relationships with physical habitat in wadeable Iowa streams", North American Journal of Fisheries Management, 29, pp.1314~1332 (2009)
- Schofield, C. L., "Fish species distribution in relation to water quality gradients in the north branch of the Moose River Basin", Biogeochemistry, 3, pp.63~85 (1987)
- Son, Y. M., "Freshwater fish fauna and distribution in Kojedo, Korea", Korean Journal of Ichthyology, 10, pp.87~97 (1998)
- Teixeira-de Mello, F., "Substantial differences in littoral fish community structure and dynamics in subtropical and temperate shallow lakes", Freshwater Biology, 54, pp.1202~1215 (2009)
- Vesanto, J., "Clustering of the selforganizing map", IEEE Transactions on Neural Networks, 11, pp.586~600 (2000)
- Wang, L., "Influences of watershed land use on habitat quality and biotic integrity in Wisconsin streams", Fisheries, 22, pp.6~12 (1997)
- Wang, L., "Watershed, reach, and riparian influences on stream fish assemblages in the northern lakes and forest ecoregion, U. S. A", Canadian Journal of Fisheries and Aquatic Sciences, 60, pp.491~505 (2003)
- Wipfli, M. S., "Ecological linkages between headwaters and downstream ecosystems : transport of organic matter, invertebrates, and wood down headwater channels", Journal of the American Water Resources Association, 43, pp.72~85 (2007)
- Wootton, J. T., "Productivity, consumers, and the structure of a river food chain", Proceedings of the National Academy of Sciences of the United States of America, 90, pp.1384~1387 (1993)