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Analysis on the Relationship between Biological Indices and Survey Area of Benthic Macroinvertebrates Using Mathematical Model
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Analysis on the Relationship between Biological Indices and Survey Area of Benthic Macroinvertebrates Using Mathematical Model
Kong, Dongsoo; Kim, Ah Reum;
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This study was conducted to find out the influence of sample size (accumulated survey areas) on the seven biological indices of benthic macroinvertebrates. BMI, the index similar to Zeilika-Marvan’s saprobic index, tended to be independent on the variations of sample size. The other indices (Shannon-Weaver’s diversity, Margalef’s richness, Menhinick’s richness, Pielou’s evenness, and Lenat’s EPT index) showed the considerable variations along with the increase of sample size and environmental conditions. To get the appropriate index values, it should be sampled at least 6 replicates more based on 30×30cm Surber sampler. In addition, the habitat heterogeneity index of benthic macroinvertebrates suggested in this study, it will be able to be used for evaluating the heterogeneity of habitats.
Benthic macroinvertebrates;Biological index;Habitat heterogeneity;Sample size;Survey area;
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Arrhenius, O. (1921). Species and Area, Journal of Ecology, 19, pp. 95-99.

Bagon, M., Harper, J. L., and Townsend, C. R. (1986). Ecology: Individuals, Populations and Communities, Blackwell Science, Oxford, pp. 876.

Bartsch, L. A., Richardson, W. B., and Naomi, T. J. (1993). Sampling Benthic Macroinvertebrates in a Large Flood-Plain River: Considerations of Study Design, Sample Size, and Cost, Environmental Monitoring and Assessment, 52, pp. 425-439.

Benton, T. G., Vickery, J. A., and Wilson, J. D. (2003). Far­mland Biodiversity: is Habitat Heterogeneity the Key?, Trends in Ecology & Evolution, 18(4), pp. 182-188. crossref(new window)

Boyle, T. P., Smillie, G. M., Anderson, J. C., and Beeson, D. R. (1990). A Sensitivity Analysis of Nine Diversity and Seven Similarity Indices, Research Journal of the Water Pollution Control Federation, 62, pp. 749-762.

Cao, Y., Williams, D. D., and Larsen, D. P. (2002). Comparison of Ecological Communities: The Problem of Sample Repre­sentativeness, Ecological Monographs, 72(1), pp. 41-56. crossref(new window)

Duggan, I. C. and Coller, K. J. (2002). Evaluation of Inver­tebrate Biometrics and the Influence of Subsample Size Using Data from Some Westland, New Zealand, Lowland Streams, New Zealand Journal of Marine and Freshwater Research, 36, pp. 117-128. crossref(new window)

Dufrene, M. and Legendre, P. (1997). Species Assemblages and Indicator Species: the Need for a Flexible Asymmetrical Approach, Ecological Monographs, 67(3), pp. 345-366.

Kim, A. R., Oh, M. W., and Kong, D. S. (2013). The Influence of Sample Size on Environment Assessment Using Benthic Macroinvertebrates, Journal of Korean Society on Water Environment, 29(6), pp. 790-798. [Korean Literature]

Kong, D. S., Son, S. H., Kim, J. Y., Won, D. H., Kim, M. C., Park, J. H., Chon, T. S., Lee, J. E., Park, J. H., Kwak, I. S., Kim, J. S., and Ham, S. A. (2012). Developement and App­lication of Korean Benthic Macroinvertebrates Index for Biological Assessment on Stream Environment, Proceedings of the 2012 Spring Conference and Water Environmental Forum of Yeongsan River, Korean Society of Limnology, pp. 33-36. [Korean Literature].

Kong, D. S. and Kim, A. R., (2015). Analysis on the Rela­tionship between Number of Species and Survey Area of Benthic Macroinvertebrates Using Weibull Distribution Func­tion, Journal of Korean Society on Water Environment, 31(2), pp. 142-150. [Korean Literature] crossref(new window)

Lenat, D. R. (1988). Water Quality Assessment of Streams Using a Qualitative Collection Method for Benthic Macroinvertebrates, Journal of the North American Benthological Society, 7, pp. 222-233. crossref(new window)

Lorenz, A., Kirchner, L., and Hering, D. (2004). ‘Electronic Subsampling’of Macrobenthic Samples: How Many Indivi­duals are Needed for a Valid Assessment Result?, Hydro­biologia, 516, pp. 299-312. crossref(new window)

Ludwig, J. A. and James, F. R. (1988). Statistical Ecology: A Primer on Methods and Computing, Wiley-Interscience Publi­cation, New York, pp. 86.

MacArthur, R. H. and Wilson, E. O. (1967). The Theory of Island Biogeography, Princeton University Press, Princeton, New Jersey.

Margalef, R. (1958). Information Theory in Ecology, General Systems, 3, pp. 36-71.

Menhinick, E. F. (1964). A Comparison of Some Species-Indivi­duals Diversity Indices Applied to Samples of Field Insects, Ecology, pp. 859-861.

McNaughton, S. J. (1967). Relationship among Functional Properties of California Grassland, Nature, 216, pp. 168-169.

Ministry Of Environment (MOE). (2012). Water Environment Information System (WEIS), (accessed Jun. 2012).

Morin, A. (1997). Empirical Models Predicting Population Abun­dance and Productivity in Lotic Systems, Journal of the North American Benthological Society, 13, pp. 319-337.

Pielou, E. C. (1975). Ecological Diversity, Wiley-Interscience Publication, pp. 165.

Resh, V. H. and Price, D. G. (1984). Sequential Sampling: A Coast-Effective Approach for Monitoring Benthic Macroin­vertebrates in Environmental Impact Assessments, Environ­mental Management, 8(1), pp. 75-80. crossref(new window)

Shannon, C. E. and Weaver, W. (1949). The Mathematical Theory of Communication, University of Illinois Press, Urbana.

Sládeček, V. (1969). The Measures of Saprobity, Verhandlungen des Internationalen Verein Limnologie, 17, pp. 546-559.

Sládeček, V. (1973). System of Water Quality from Biological Point of View, Archiv für Hydrobiologie, Beiheft. Ergebnisse der Limnologie, Stuttgart, 7, pp. 218.

Vlek, H. E., Sporka, F., and Krno, I. (2006) Influence of Macroinvertebrates Sample Size on Bioassessment of Streams, Hydrobiologia, 566, pp. 523-542. crossref(new window)

Vollenweider, R. A. (1974). A Manual on Methods for Measu­ring, Primary Production in Aquatic Environments, IBP Hand­ book No. 12, International Biological Programme, Blackwell Scientific Publications, Oxford, pp. 225.

Weibull, W. (1951). A Statistical Distribution Function of Wide Applicability, Journal of Applied Mathematics, 18, pp. 293-296.

Yoon, I. B., Bae, Y. J., Ro, T. H., Lee, S. J., and Park, J. H. (1998). Determination on the Optimal Sample Size in the Aqu­atic Insect Community Analysis - Pangtae Creek Model, Korean Journal of Ecology and Field Biology, 21(5), pp. 409-418.