GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ

Detalhes bibliográficos
Autor(a) principal: Völcker, Claudio Michael
Data de Publicação: 2009
Outros Autores: Scott, Philip
Tipo de documento: Artigo
Idioma: por
Título da fonte: Sistemas & Gestão
Texto Completo: https://www.revistasg.uff.br/sg/article/view/SGV3N3A3
Resumo: This study was carried out in order to identify the potential and suitable areas for land-based aquaculture development along the lower stretch of the São João River, RJ. A Geographical Information System was prepared using several image sources. Two models were developed integrating important environmental criteria for euryhaline species already cultured in the study area which include - Litopenaeus vannamei, Macrobrachium rosenbergii, and Oreochromis niloticus. The choice of suitable areas was based on the processing of several images integrated in a multicriteria evaluation (MCE). Areas with development restrictions were identified and excluded. An Analytical Hierarchy Process (AHP) was used to establish weights for the MCE generating suitable areas for each species. The total suitable area found was 55.79 km2. In total, 667 ha were found suitable for L. vannamei, 4.697 ha for M. rosenbergii and 4,905 ha for O. niloticus. It is hoped that this information will be useful for regional planners, managers and investors. The results include potential generation of new jobs as well as aquaculture production.
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spelling GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJGIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJSIG e sensoriamento remoto para a determinação do potencial da aqüicultura no baixo São João - RJAquacultureGISEnvironmental ManagementSão João RiverAquacultureGISEnvironmental ManagementSão João RiverAqüiculturaSIGGestão ambientalRio São JoãoThis study was carried out in order to identify the potential and suitable areas for land-based aquaculture development along the lower stretch of the São João River, RJ. A Geographical Information System was prepared using several image sources. Two models were developed integrating important environmental criteria for euryhaline species already cultured in the study area which include - Litopenaeus vannamei, Macrobrachium rosenbergii, and Oreochromis niloticus. The choice of suitable areas was based on the processing of several images integrated in a multicriteria evaluation (MCE). Areas with development restrictions were identified and excluded. An Analytical Hierarchy Process (AHP) was used to establish weights for the MCE generating suitable areas for each species. The total suitable area found was 55.79 km2. In total, 667 ha were found suitable for L. vannamei, 4.697 ha for M. rosenbergii and 4,905 ha for O. niloticus. It is hoped that this information will be useful for regional planners, managers and investors. The results include potential generation of new jobs as well as aquaculture production.This study was carried out in order to identify the potential and suitable areas for land-based aquaculture development along the lower stretch of the São João River, RJ. A Geographical Information System was prepared using several image sources. Two models were developed integrating important environmental criteria for euryhaline species already cultured in the study area which include - Litopenaeus vannamei, Macrobrachium rosenbergii, and Oreochromis niloticus. The choice of suitable areas was based on the processing of several images integrated in a multicriteria evaluation (MCE). Areas with development restrictions were identified and excluded. An Analytical Hierarchy Process (AHP) was used to establish weights for the MCE generating suitable areas for each species. The total suitable area found was 55.79 km2. In total, 667 ha were found suitable for L. vannamei, 4.697 ha for M. rosenbergii and 4,905 ha for O. niloticus. It is hoped that this information will be useful for regional planners, managers and investors. The results include potential generation of new jobs as well as aquaculture production.Este estudo foi realizado com o objetivo de identificar o potencial para o desenvolvimento daaqüicultura ao longo do baixo curso do rio São João, RJ. Para tal, foi construído um Sistemade Informação Geográfica a partir de várias imagens. Dois modelos foram desenvolvidos,integrando critérios ambientais importantes para as espécies eurihalinas já estabelecidas ecultivadas na área de estudo que incluem Litopenaeus vannamei (camarão branco),Macrobrachium rosenbergii (pitu), e Oreochromis niloticus (tilápia). Para a escolha das áreasaptas, utilizou-se processamento de diversas imagens integradas numa avaliaçãomulticritério (MCE). Áreas com restrições para o desenvolvimento foram identificadas eexcluídas. O Processo de Hierarquia Analítico (PHA) foi usado para estabelecer pesos doMCE gerando áreas viáveis para cada espécie. A área total adequada encontrada foi de55,79 km2. No total foram encontrados 667 ha para L. vannamei, 4.697 ha para M.rosenbergii e 4.905 ha para O. niloticus. Estas informações poderão ser úteis ao processode planejamento regional e tomada de decisões de gestores e investidores. Os resultadosmostram o potencial de geração de novos empregos assim como o desenvolvimento daaqüicultura regional.ABEC2009-05-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/SGV3N3A310.7177/sg.2008.SGV3N3A3Sistemas & Gestão; v. 3 n. 3 (2008): Dezembro/2008; 196-2151980-516010.7177/sg.2008.v3.n3reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://www.revistasg.uff.br/sg/article/view/SGV3N3A3/59Copyright (c) 2015 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessVölcker, Claudio MichaelScott, Philip2023-01-09T18:18:55Zoai:ojs.www.revistasg.uff.br:article/53Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2023-01-09T18:18:55Sistemas & Gestão - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
SIG e sensoriamento remoto para a determinação do potencial da aqüicultura no baixo São João - RJ
title GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
spellingShingle GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
Völcker, Claudio Michael
Aquaculture
GIS
Environmental Management
São João River
Aquaculture
GIS
Environmental Management
São João River
Aqüicultura
SIG
Gestão ambiental
Rio São João
title_short GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
title_full GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
title_fullStr GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
title_full_unstemmed GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
title_sort GIS and remote sensing supported aquaculture potential determination along the lower stretch of the São João river - RJ
author Völcker, Claudio Michael
author_facet Völcker, Claudio Michael
Scott, Philip
author_role author
author2 Scott, Philip
author2_role author
dc.contributor.author.fl_str_mv Völcker, Claudio Michael
Scott, Philip
dc.subject.por.fl_str_mv Aquaculture
GIS
Environmental Management
São João River
Aquaculture
GIS
Environmental Management
São João River
Aqüicultura
SIG
Gestão ambiental
Rio São João
topic Aquaculture
GIS
Environmental Management
São João River
Aquaculture
GIS
Environmental Management
São João River
Aqüicultura
SIG
Gestão ambiental
Rio São João
description This study was carried out in order to identify the potential and suitable areas for land-based aquaculture development along the lower stretch of the São João River, RJ. A Geographical Information System was prepared using several image sources. Two models were developed integrating important environmental criteria for euryhaline species already cultured in the study area which include - Litopenaeus vannamei, Macrobrachium rosenbergii, and Oreochromis niloticus. The choice of suitable areas was based on the processing of several images integrated in a multicriteria evaluation (MCE). Areas with development restrictions were identified and excluded. An Analytical Hierarchy Process (AHP) was used to establish weights for the MCE generating suitable areas for each species. The total suitable area found was 55.79 km2. In total, 667 ha were found suitable for L. vannamei, 4.697 ha for M. rosenbergii and 4,905 ha for O. niloticus. It is hoped that this information will be useful for regional planners, managers and investors. The results include potential generation of new jobs as well as aquaculture production.
publishDate 2009
dc.date.none.fl_str_mv 2009-05-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistasg.uff.br/sg/article/view/SGV3N3A3
10.7177/sg.2008.SGV3N3A3
url https://www.revistasg.uff.br/sg/article/view/SGV3N3A3
identifier_str_mv 10.7177/sg.2008.SGV3N3A3
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistasg.uff.br/sg/article/view/SGV3N3A3/59
dc.rights.driver.fl_str_mv Copyright (c) 2015 Sistemas & Gestão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Sistemas & Gestão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ABEC
publisher.none.fl_str_mv ABEC
dc.source.none.fl_str_mv Sistemas & Gestão; v. 3 n. 3 (2008): Dezembro/2008; 196-215
1980-5160
10.7177/sg.2008.v3.n3
reponame:Sistemas & Gestão
instname:Universidade Federal Fluminense (UFF)
instacron:UFF
instname_str Universidade Federal Fluminense (UFF)
instacron_str UFF
institution UFF
reponame_str Sistemas & Gestão
collection Sistemas & Gestão
repository.name.fl_str_mv Sistemas & Gestão - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv ||sg.revista@gmail.com|| periodicos@proppi.uff.br
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