A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis

Detalhes bibliográficos
Autor(a) principal: Francisco, Cláudia Aparecida Cavalheiro
Data de Publicação: 2019
Outros Autores: Almeida, Ricardo de, Steiner, Maria Teresinha Arns, Coelho, Leandro dos Santos, Steiner Neto, Pedro José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/31114
Resumo: The damming of rivers has been long used for electricity generation and is among the most used sources of renewable energy. However, building dams may cause several transformations in the environment, being changes in fish assemblage one important consequence, especially when there are communities that rely on fishing as a source of income. The aim of the present study is to analyze the trophic changes in fish species caused by the damming of rivers. Trophic data (stomach content) on fish from the Corumbá Reservoir in the State of Goiás, Brazil, which was collected prior (River phase) and after (Reservoir phase) the building of the dam, were used to carry out the study using Clustering techniques. The methodology used was composed of data exploratory analysis, followed by the assignment of clusters for the later implementation of knowledge. The definition of the number of clusters, the usage of different types of clustering distances and the use validation indexes are discussed. A modified version of the Teitz & Bart algorithm, originally used for facilities location problems, was introduced for Clustering problems and the results were compared with three well-known Clustering algorithms from literature. The clustering approaches were applied separately in both phases and in both cases, five large clusters of fish were determined: generalists, insectivores, herbivores, piscivores, and detritivores. With this evaluation, could be used by biologists in order to evaluate environmental effects and managers can develop strategies to address the social and economic impacts caused to the communities that depend on fishing
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spelling Francisco, Cláudia Aparecida CavalheiroAlmeida, Ricardo deSteiner, Maria Teresinha ArnsCoelho, Leandro dos SantosSteiner Neto, Pedro José2020-12-23T12:56:45Z2020-12-23T12:56:45Z2019ALMEIDA, Ricardo de; STEINER, Maria Teresinha Arns; COELHO, Leandro dos Santos; FRANCISCO, Cláudia Aparecida Cavalheiro; STEINER NETO, Pedro José. A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis. Computers & Industrial Engineering, [S.L.], v. 135, p. 1239-1252, set. 2019.Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0360835218304480?via%3Dihub Acesso em: 15 dez 2020. https://doi.org/10.1016/j.cie.2018.09.0320360-8352https://repositorio.ufrn.br/handle/123456789/3111410.1016/j.cie.2018.09.032ElsevierEnvironment sustainabilityClustering analysisTrophic categories of fishRiver phaseReservoir phaseA case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe damming of rivers has been long used for electricity generation and is among the most used sources of renewable energy. However, building dams may cause several transformations in the environment, being changes in fish assemblage one important consequence, especially when there are communities that rely on fishing as a source of income. The aim of the present study is to analyze the trophic changes in fish species caused by the damming of rivers. Trophic data (stomach content) on fish from the Corumbá Reservoir in the State of Goiás, Brazil, which was collected prior (River phase) and after (Reservoir phase) the building of the dam, were used to carry out the study using Clustering techniques. The methodology used was composed of data exploratory analysis, followed by the assignment of clusters for the later implementation of knowledge. The definition of the number of clusters, the usage of different types of clustering distances and the use validation indexes are discussed. A modified version of the Teitz & Bart algorithm, originally used for facilities location problems, was introduced for Clustering problems and the results were compared with three well-known Clustering algorithms from literature. The clustering approaches were applied separately in both phases and in both cases, five large clusters of fish were determined: generalists, insectivores, herbivores, piscivores, and detritivores. With this evaluation, could be used by biologists in order to evaluate environmental effects and managers can develop strategies to address the social and economic impacts caused to the communities that depend on fishingengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/31114/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/31114/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.txtACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.txtExtracted texttext/plain71299https://repositorio.ufrn.br/bitstream/123456789/31114/4/ACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.txtc09e0cc9458c3ef899a43dc189b44babMD54THUMBNAILACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.jpgACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.jpgGenerated Thumbnailimage/jpeg1651https://repositorio.ufrn.br/bitstream/123456789/31114/5/ACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.jpgbca62b971d464916a7ef7316c0417ba4MD55123456789/311142023-02-02 15:51:59.168oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-02-02T18:51:59Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
title A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
spellingShingle A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
Francisco, Cláudia Aparecida Cavalheiro
Environment sustainability
Clustering analysis
Trophic categories of fish
River phase
Reservoir phase
title_short A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
title_full A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
title_fullStr A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
title_full_unstemmed A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
title_sort A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis
author Francisco, Cláudia Aparecida Cavalheiro
author_facet Francisco, Cláudia Aparecida Cavalheiro
Almeida, Ricardo de
Steiner, Maria Teresinha Arns
Coelho, Leandro dos Santos
Steiner Neto, Pedro José
author_role author
author2 Almeida, Ricardo de
Steiner, Maria Teresinha Arns
Coelho, Leandro dos Santos
Steiner Neto, Pedro José
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Francisco, Cláudia Aparecida Cavalheiro
Almeida, Ricardo de
Steiner, Maria Teresinha Arns
Coelho, Leandro dos Santos
Steiner Neto, Pedro José
dc.subject.por.fl_str_mv Environment sustainability
Clustering analysis
Trophic categories of fish
River phase
Reservoir phase
topic Environment sustainability
Clustering analysis
Trophic categories of fish
River phase
Reservoir phase
description The damming of rivers has been long used for electricity generation and is among the most used sources of renewable energy. However, building dams may cause several transformations in the environment, being changes in fish assemblage one important consequence, especially when there are communities that rely on fishing as a source of income. The aim of the present study is to analyze the trophic changes in fish species caused by the damming of rivers. Trophic data (stomach content) on fish from the Corumbá Reservoir in the State of Goiás, Brazil, which was collected prior (River phase) and after (Reservoir phase) the building of the dam, were used to carry out the study using Clustering techniques. The methodology used was composed of data exploratory analysis, followed by the assignment of clusters for the later implementation of knowledge. The definition of the number of clusters, the usage of different types of clustering distances and the use validation indexes are discussed. A modified version of the Teitz & Bart algorithm, originally used for facilities location problems, was introduced for Clustering problems and the results were compared with three well-known Clustering algorithms from literature. The clustering approaches were applied separately in both phases and in both cases, five large clusters of fish were determined: generalists, insectivores, herbivores, piscivores, and detritivores. With this evaluation, could be used by biologists in order to evaluate environmental effects and managers can develop strategies to address the social and economic impacts caused to the communities that depend on fishing
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-12-23T12:56:45Z
dc.date.available.fl_str_mv 2020-12-23T12:56:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv ALMEIDA, Ricardo de; STEINER, Maria Teresinha Arns; COELHO, Leandro dos Santos; FRANCISCO, Cláudia Aparecida Cavalheiro; STEINER NETO, Pedro José. A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis. Computers & Industrial Engineering, [S.L.], v. 135, p. 1239-1252, set. 2019.Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0360835218304480?via%3Dihub Acesso em: 15 dez 2020. https://doi.org/10.1016/j.cie.2018.09.032
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/31114
dc.identifier.issn.none.fl_str_mv 0360-8352
dc.identifier.doi.none.fl_str_mv 10.1016/j.cie.2018.09.032
identifier_str_mv ALMEIDA, Ricardo de; STEINER, Maria Teresinha Arns; COELHO, Leandro dos Santos; FRANCISCO, Cláudia Aparecida Cavalheiro; STEINER NETO, Pedro José. A case study on environmental sustainability: a study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis. Computers & Industrial Engineering, [S.L.], v. 135, p. 1239-1252, set. 2019.Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0360835218304480?via%3Dihub Acesso em: 15 dez 2020. https://doi.org/10.1016/j.cie.2018.09.032
0360-8352
10.1016/j.cie.2018.09.032
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