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
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , |
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 |
id |
UFRN_6dae46f33373f1fb6933ac5fcf0f1fd4 |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/31114 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
url |
https://repositorio.ufrn.br/handle/123456789/31114 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Repositório Institucional da UFRN |
collection |
Repositório Institucional da UFRN |
bitstream.url.fl_str_mv |
https://repositorio.ufrn.br/bitstream/123456789/31114/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/31114/3/license.txt https://repositorio.ufrn.br/bitstream/123456789/31114/4/ACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.txt https://repositorio.ufrn.br/bitstream/123456789/31114/5/ACaseStudyEnvironmentalSustainability_Francisco_2019.pdf.jpg |
bitstream.checksum.fl_str_mv |
4d2950bda3d176f570a9f8b328dfbbef e9597aa2854d128fd968be5edc8a28d9 c09e0cc9458c3ef899a43dc189b44bab bca62b971d464916a7ef7316c0417ba4 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
|
_version_ |
1802117537425522688 |