Spatial analysis of wild bird trafficking in the state of Pernambuco, Brazil

Detalhes bibliográficos
Autor(a) principal: de Albuquerque, Cláudia Lúcia Gonçalves Cavalcanti
Data de Publicação: 2023
Outros Autores: Barreto, Eduardo Paes, Silva, Carlos Fabricio Assunção da, da Silva, Marcia Cristina, Sobral, Anderson da Conceição Santos, de Melo, Daniele de Castro Pessoa
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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spelling 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
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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
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repository.name.fl_str_mv Revista Brasileira de Ciências Ambientais (Online) - Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)
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