Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Farmacognosia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000400023 |
Resumo: | This study was designed to select potential areas for cultivation of the seaweed Gracilaria birdiae Plastino & E.C. Oliveira (Gracilariales, Rhodophyta) on the coast of Rio Grande do Norte state, Brazil. The Geographic Information System (GIS) and multi-criteria evaluation (MCE) were used to identify the most suitable areas. The Analytical Hierarchical Process (AHP) was applied to establish MCE weights, thereby generating viable areas for species cultivation. From a total of 3316.82 ha, around 53.67% (1780.06 ha) were indicated as highly suitable areas, 40.93% (1357.58 ha) as moderately suitable and 5.40% (179.18 ha) as scarcely suitable for seaweed cultivation. Seven areas (1084.62 ha) are located on the northern coast and 20 (2232.20 ha) on the eastern coast. The results show that GIS can be used as an effective instrument for selecting seaweed cultivation areas. |
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Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern BrazilGISsite selectionseaweedsGracilaria birdiaemulti-criteria evaluationThis study was designed to select potential areas for cultivation of the seaweed Gracilaria birdiae Plastino & E.C. Oliveira (Gracilariales, Rhodophyta) on the coast of Rio Grande do Norte state, Brazil. The Geographic Information System (GIS) and multi-criteria evaluation (MCE) were used to identify the most suitable areas. The Analytical Hierarchical Process (AHP) was applied to establish MCE weights, thereby generating viable areas for species cultivation. From a total of 3316.82 ha, around 53.67% (1780.06 ha) were indicated as highly suitable areas, 40.93% (1357.58 ha) as moderately suitable and 5.40% (179.18 ha) as scarcely suitable for seaweed cultivation. Seven areas (1084.62 ha) are located on the northern coast and 20 (2232.20 ha) on the eastern coast. The results show that GIS can be used as an effective instrument for selecting seaweed cultivation areas.Sociedade Brasileira de Farmacognosia2012-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000400023Revista Brasileira de Farmacognosia v.22 n.4 2012reponame:Revista Brasileira de Farmacognosia (Online)instname:Sociedade Brasileira de Farmacognosia (SBFgnosia)instacron:SBFGNOSIA10.1590/S0102-695X2012005000087info:eu-repo/semantics/openAccessSousa,Flavo E. S. deMoura,Euriel A.Marinho-Soriano,Elianeeng2012-06-27T00:00:00Zoai:scielo:S0102-695X2012000400023Revistahttp://www.sbfgnosia.org.br/revista/https://old.scielo.br/oai/scielo-oai.phprbgnosia@ltf.ufpb.br1981-528X0102-695Xopendoar:2012-06-27T00:00Revista Brasileira de Farmacognosia (Online) - Sociedade Brasileira de Farmacognosia (SBFgnosia)false |
dc.title.none.fl_str_mv |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
title |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
spellingShingle |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil Sousa,Flavo E. S. de GIS site selection seaweeds Gracilaria birdiae multi-criteria evaluation |
title_short |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
title_full |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
title_fullStr |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
title_full_unstemmed |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
title_sort |
Use of geographic information systems (GIS) to identify adequate sites for cultivation of the seaweed Gracilaria birdiae in Rio Grande do Norte, Northeastern Brazil |
author |
Sousa,Flavo E. S. de |
author_facet |
Sousa,Flavo E. S. de Moura,Euriel A. Marinho-Soriano,Eliane |
author_role |
author |
author2 |
Moura,Euriel A. Marinho-Soriano,Eliane |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Sousa,Flavo E. S. de Moura,Euriel A. Marinho-Soriano,Eliane |
dc.subject.por.fl_str_mv |
GIS site selection seaweeds Gracilaria birdiae multi-criteria evaluation |
topic |
GIS site selection seaweeds Gracilaria birdiae multi-criteria evaluation |
description |
This study was designed to select potential areas for cultivation of the seaweed Gracilaria birdiae Plastino & E.C. Oliveira (Gracilariales, Rhodophyta) on the coast of Rio Grande do Norte state, Brazil. The Geographic Information System (GIS) and multi-criteria evaluation (MCE) were used to identify the most suitable areas. The Analytical Hierarchical Process (AHP) was applied to establish MCE weights, thereby generating viable areas for species cultivation. From a total of 3316.82 ha, around 53.67% (1780.06 ha) were indicated as highly suitable areas, 40.93% (1357.58 ha) as moderately suitable and 5.40% (179.18 ha) as scarcely suitable for seaweed cultivation. Seven areas (1084.62 ha) are located on the northern coast and 20 (2232.20 ha) on the eastern coast. The results show that GIS can be used as an effective instrument for selecting seaweed cultivation areas. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000400023 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2012000400023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0102-695X2012005000087 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Farmacognosia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Farmacognosia |
dc.source.none.fl_str_mv |
Revista Brasileira de Farmacognosia v.22 n.4 2012 reponame:Revista Brasileira de Farmacognosia (Online) instname:Sociedade Brasileira de Farmacognosia (SBFgnosia) instacron:SBFGNOSIA |
instname_str |
Sociedade Brasileira de Farmacognosia (SBFgnosia) |
instacron_str |
SBFGNOSIA |
institution |
SBFGNOSIA |
reponame_str |
Revista Brasileira de Farmacognosia (Online) |
collection |
Revista Brasileira de Farmacognosia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Farmacognosia (Online) - Sociedade Brasileira de Farmacognosia (SBFgnosia) |
repository.mail.fl_str_mv |
rbgnosia@ltf.ufpb.br |
_version_ |
1752122467830202368 |