Self-organizing map and species abundance distribution of stream benthic macroinvertebrates in revealing community patterns in different seasons

Kim, Dong Hwan; Cho, Woon-Seok; Chon, Tae‐Soo

doi:10.1016/j.ecoinf.2013.06.006

Cited by 21 publications

(30 citation statements)

References 55 publications

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“…Various parameters of these models (e.g., k values in the geometric series, a and γ values in the log-normal distribution) have been used as indicators for community structure [28,49,50]. In this study, we extended the scope of RADs so that it would offer more information on community structure [21,27]. The application of RAD slopes was supported by other studies that identified community responsiveness to environmental variability [26,41,42].…”

Section: Community Patterns and Indicator Speciesmentioning

confidence: 51%

“…In this study, we extended the results of previous studies [21,28] to further investigate the changes in macroinvertebrate community patterns in response to urbanization in the southeast part of the Korean Peninsula. Specifically, we presented the environmental and biological characteristics, and examined the effects of anthropogenic disturbance on benthic macroinvertebrate communities by concurrently measuring hydrological/physical/chemical factors and land use types in various streams located in the Busan metropolitan area.…”

Section: Introductionmentioning

confidence: 58%

“…Cluster analysis and NMS were useful to determine the changing patterns of benthic species composition influenced by physicochemical gradients and anthropogenic disturbance. Structural properties of communities described by RAD slopes, however, were feasible for assessing disturbance due to urbanization, and these results provided an additional dimension of biological responses in characterizing environmental impacts for monitoring ecosystems [21,26]. Indicator species analysis using Indval and WARM determined the habitat preference and tolerance range across an environmental gradient [45].…”

Section: Community Patterns and Indicator Speciesmentioning

confidence: 99%

“…Computational methods have been developed to analyze community data efficiently; these include predictive models [17], multivariate statistical methods [18], statistical learning models [19,20], and species abundance models [21]. Many studies have performed multivariate analyses on freshwater benthic community data to assess water quality [18,22], spatial and temporal dynamics [23,24], trait patterns [25], and community response to disturbance [18,26].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Land Use Types on Community Structure Patterns of Benthic Macroinvertebrates in Streams of Urban Areas in the South of the Korea Peninsula

Kim

Chon

Kwak

et al. 2016

Water

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Benthic macroinvertebrates were collected from streams located in an urban area from regions featuring different environmental conditions. Physicochemical variables and land use types pertaining to sampling sites were analyzed concurrently. Multivariate analyses (cluster analysis and non-metric multidimensional scaling) and rank-abundance diagrams were used to characterize community patterns to assess ecological integrity in response to environmental conditions. Species composition patterns were mainly influenced by both the gradient of physicochemical variables (e.g., altitude, slope, conductivity) and the proportion of forest area. Community structure patterns were further correlated to the proportion of urbanization and to biological indices (e.g., diversity, number of species). Land use preferences of benthic species were identified based on the indicator values and weighted averaging regression models. Plecoptera species were representative of undisturbed streams in forest areas, whereas Tubificidae species and filtering collector caddis flies were indicator taxa in severely polluted and agricultural areas, respectively. The analyses of community structures and indicator species effectively characterized community properties and ecological integrity following natural and anthropogenic variability in urban stream ecosystems.

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Section: Community Patterns and Indicator Speciesmentioning

confidence: 51%

Section: Introductionmentioning

confidence: 58%

Section: Community Patterns and Indicator Speciesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Land Use Types on Community Structure Patterns of Benthic Macroinvertebrates in Streams of Urban Areas in the South of the Korea Peninsula

Kim

Chon

Kwak

et al. 2016

Water

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“…Other training parameters were the default values and other details as previously published [22] . To obtained the clusters from the SOFM map, the Ward's method [23] was applied to the weights of the SOFM neurons after training and neurons with different clusters were shaded differently.…”

Section: Discussionmentioning

confidence: 99%

Visualization of amino acid composition differences between processed protein from different animal species by self-organizing feature maps

Zhou¹,

Yang²,

Chen³

et al. 2016

Front. Agr. Sci. Eng.

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Amino acids are the dominant organic components of processed animal proteins, however there has been limited investigation of differences in their composition between various protein sources. Information on these differences will not only be helpful for their further utilization but also provide fundamental information for developing species-specific identification methods. In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish meal, and meat and bone meal (MBM) produced from poultry, ruminants and swine. SOFM display the similarities and differences in amino acid composition between protein sources and effectively improve data transparency. Amino acid composition was shown to be useful for distinguishing fish meal from MBM due to their large concentration differences between glycine, lysine and proline. However, the amino acid composition of the three MBMs was quite similar. The SOFM results were consistent with those obtained by analysis of variance and principal component analysis but more straightforward. SOFM was shown to have a robust sample linkage capacity and to be able to act as a powerful means to link different sample for further data mining.

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Special issue of the 7th International Conference on Ecological Informatics, 13–16 December 2010, Ghent, Belgium: ‘Unravelling complexity and supporting sustainability’

Goethals¹,

Chon²

2013

Ecological Informatics

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Self-organizing map and species abundance distribution of stream benthic macroinvertebrates in revealing community patterns in different seasons

Cited by 21 publications

References 55 publications

Effects of Land Use Types on Community Structure Patterns of Benthic Macroinvertebrates in Streams of Urban Areas in the South of the Korea Peninsula

Effects of Land Use Types on Community Structure Patterns of Benthic Macroinvertebrates in Streams of Urban Areas in the South of the Korea Peninsula

Visualization of amino acid composition differences between processed protein from different animal species by self-organizing feature maps

Special issue of the 7th International Conference on Ecological Informatics, 13–16 December 2010, Ghent, Belgium: ‘Unravelling complexity and supporting sustainability’

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