Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Ciências Ambientais (Online) |
Texto Completo: | https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526 |
Resumo: | Wild animal trafficking is a growing practice worldwide and a complex problem that brings a lot of profit, moving billions of dollars. This illegal trade has Brazil as route due to its rich biodiversity. It is widespread throughout the state of Pernambuco, having constant growth because the state is in a geographical position that favors this type of illegal practice and has a great diversity of species. Thus, the objective of the study was to perform a spatial analysis of wild bird trafficking in the municipalities of the state of Pernambuco in the period from 2016 to 2021, through an exploratory data analysis with seven variables that could explain its occurrence. It was used as methodology the global and local Moran’s indexes, all implemented in the Geographic Information System software. The findings revealed that the municipalities that showed high average rates of wild bird trafficking in the investigated period, in general, are geographically close to those that also showed high rates of seizure of birds, Intentional Lethal Violent Crime, Violent Crime against Property, and unemployment. In general, the results allowed us to conclude that the methods of spatial cluster analysis proved satisfactory for the analysis in question. Moreover, it is important to note that the precarious enforcement favors the continuity of this practice, and there is an urgent need for environmental policies to restrain it effectively. |
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Spatial analysis of wild bird trafficking in the state of Pernambuco, BrazilAnálise espacial do tráfico de aves silvestres no estado de Pernambuco, Brasilspatial autocorrelation; geographic information system; illegal trade; wild animals; global Moran’s index.autocorrelação espacial; sistema de informação geográfica; comércio ilegal; animais silvestres; índice de Moran global.Wild animal trafficking is a growing practice worldwide and a complex problem that brings a lot of profit, moving billions of dollars. This illegal trade has Brazil as route due to its rich biodiversity. It is widespread throughout the state of Pernambuco, having constant growth because the state is in a geographical position that favors this type of illegal practice and has a great diversity of species. Thus, the objective of the study was to perform a spatial analysis of wild bird trafficking in the municipalities of the state of Pernambuco in the period from 2016 to 2021, through an exploratory data analysis with seven variables that could explain its occurrence. It was used as methodology the global and local Moran’s indexes, all implemented in the Geographic Information System software. The findings revealed that the municipalities that showed high average rates of wild bird trafficking in the investigated period, in general, are geographically close to those that also showed high rates of seizure of birds, Intentional Lethal Violent Crime, Violent Crime against Property, and unemployment. In general, the results allowed us to conclude that the methods of spatial cluster analysis proved satisfactory for the analysis in question. Moreover, it is important to note that the precarious enforcement favors the continuity of this practice, and there is an urgent need for environmental policies to restrain it effectively.O tráfico de animais silvestres é uma prática crescente em todo o mundo e um problema de difícil solução que traz bastante lucro, movimentando bilhões de dólares. Esse mercado tem o Brasil como rota por possuir rica biodiversidade. O comércio ilegal é amplo em todo o estado de Pernambuco, tendo crescimento constante por estar o estado em posição geográfica que favorece esse tipo de prática ilegal e possuir grande diversidade de espécies. Dessa forma, o objetivo do estudo foi realizar uma análise espacial do tráfico de aves silvestres nos municípios do estado de Pernambuco no período de 2016 a 2021, por meio de uma análise exploratória de dados com sete variáveis que pudessem explicar sua ocorrência. Foram utilizados como metodologia os índices de Moran global e local, todos implementados no software de Sistema de Informação Geográfica. Os resultados revelaram que os municípios que apresentaram altas taxas médias de tráfico de aves silvestres no período investigado, de maneira geral, encontram-se geograficamente próximos daqueles que também demonstraram elevadas taxas de apreensão de aves, taxas de crime violento letal intencional, taxas de crime violento contra o patrimônio e taxa de desemprego. De maneira geral, os resultados permitiram concluir que os métodos de análise espacial de agrupamentos se mostraram satisfatórios para a análise em questão. Além disso, é importante salientar que a fiscalização precária favorece a continuidade dessa prática, havendo necessidade de políticas ambientais com o objetivo de coibir tal prática de forma efetiva.Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)2023-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/152610.5327/Z2176-94781526Revista Brasileira de Ciências Ambientais (RBCIAMB); v. 58 n. 1 (2023): RBCIAMB - ISSN 2176-9478 - Março; 11-19Revista Brasileira de Ciências Ambientais (RBCIAMB); Vol. 58 No. 1 (2023): RBCIAMB - ISSN 2176-9478 - March; 11-192176-94781808-4524reponame:Revista Brasileira de Ciências Ambientais (Online)instname:Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)instacron:ABESenghttps://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526/864https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526/884Copyright (c) 2023 Brazilian Journal of Environmental Sciences (RBCIAMB)http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessde Albuquerque, Cláudia Lúcia Gonçalves CavalcantiBarreto, Eduardo PaesSilva, Carlos Fabricio Assunção dada Silva, Marcia Cristina Sobral, Anderson da Conceição Santosde Melo, Daniele de Castro Pessoa2023-08-25T20:10:56Zoai:ojs.www.rbciamb.com.br:article/1526Revistahttp://www.rbciamb.com.br/index.php/Publicacoes_RBCIAMBhttps://www.rbciamb.com.br/Publicacoes_RBCIAMB/oairbciamb@abes-dn.org.br||2176-94781804-4524opendoar:2023-08-25T20:10:56Revista Brasileira de Ciências Ambientais (Online) - Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)false |
dc.title.none.fl_str_mv |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil Análise espacial do tráfico de aves silvestres no estado de Pernambuco, Brasil |
title |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
spellingShingle |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil de Albuquerque, Cláudia Lúcia Gonçalves Cavalcanti spatial autocorrelation; geographic information system; illegal trade; wild animals; global Moran’s index. autocorrelação espacial; sistema de informação geográfica; comércio ilegal; animais silvestres; índice de Moran global. |
title_short |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
title_full |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
title_fullStr |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
title_full_unstemmed |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
title_sort |
Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil |
author |
de Albuquerque, Cláudia Lúcia Gonçalves Cavalcanti |
author_facet |
de Albuquerque, Cláudia Lúcia Gonçalves Cavalcanti Barreto, Eduardo Paes Silva, Carlos Fabricio Assunção da da Silva, Marcia Cristina Sobral, Anderson da Conceição Santos de Melo, Daniele de Castro Pessoa |
author_role |
author |
author2 |
Barreto, Eduardo Paes Silva, Carlos Fabricio Assunção da da Silva, Marcia Cristina Sobral, Anderson da Conceição Santos de Melo, Daniele de Castro Pessoa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
de Albuquerque, Cláudia Lúcia Gonçalves Cavalcanti Barreto, Eduardo Paes Silva, Carlos Fabricio Assunção da da Silva, Marcia Cristina Sobral, Anderson da Conceição Santos de Melo, Daniele de Castro Pessoa |
dc.subject.por.fl_str_mv |
spatial autocorrelation; geographic information system; illegal trade; wild animals; global Moran’s index. autocorrelação espacial; sistema de informação geográfica; comércio ilegal; animais silvestres; índice de Moran global. |
topic |
spatial autocorrelation; geographic information system; illegal trade; wild animals; global Moran’s index. autocorrelação espacial; sistema de informação geográfica; comércio ilegal; animais silvestres; índice de Moran global. |
description |
Wild animal trafficking is a growing practice worldwide and a complex problem that brings a lot of profit, moving billions of dollars. This illegal trade has Brazil as route due to its rich biodiversity. It is widespread throughout the state of Pernambuco, having constant growth because the state is in a geographical position that favors this type of illegal practice and has a great diversity of species. Thus, the objective of the study was to perform a spatial analysis of wild bird trafficking in the municipalities of the state of Pernambuco in the period from 2016 to 2021, through an exploratory data analysis with seven variables that could explain its occurrence. It was used as methodology the global and local Moran’s indexes, all implemented in the Geographic Information System software. The findings revealed that the municipalities that showed high average rates of wild bird trafficking in the investigated period, in general, are geographically close to those that also showed high rates of seizure of birds, Intentional Lethal Violent Crime, Violent Crime against Property, and unemployment. In general, the results allowed us to conclude that the methods of spatial cluster analysis proved satisfactory for the analysis in question. Moreover, it is important to note that the precarious enforcement favors the continuity of this practice, and there is an urgent need for environmental policies to restrain it effectively. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-05 |
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.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526 10.5327/Z2176-94781526 |
url |
https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526 |
identifier_str_mv |
10.5327/Z2176-94781526 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526/864 https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1526/884 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Brazilian Journal of Environmental Sciences (RBCIAMB) http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Brazilian Journal of Environmental Sciences (RBCIAMB) http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES) |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES) |
dc.source.none.fl_str_mv |
Revista Brasileira de Ciências Ambientais (RBCIAMB); v. 58 n. 1 (2023): RBCIAMB - ISSN 2176-9478 - Março; 11-19 Revista Brasileira de Ciências Ambientais (RBCIAMB); Vol. 58 No. 1 (2023): RBCIAMB - ISSN 2176-9478 - March; 11-19 2176-9478 1808-4524 reponame:Revista Brasileira de Ciências Ambientais (Online) instname:Associação Brasileira de Engenharia Sanitária e Ambiental (ABES) instacron:ABES |
instname_str |
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES) |
instacron_str |
ABES |
institution |
ABES |
reponame_str |
Revista Brasileira de Ciências Ambientais (Online) |
collection |
Revista Brasileira de Ciências Ambientais (Online) |
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Revista Brasileira de Ciências Ambientais (Online) - Associação Brasileira de Engenharia Sanitária e Ambiental (ABES) |
repository.mail.fl_str_mv |
rbciamb@abes-dn.org.br|| |
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