Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state

Detalhes bibliográficos
Autor(a) principal: Felippe, Bruno Moreira
Data de Publicação: 2022
Outros Autores: Bolzan, Marina Rigon, Eugenio, Fernando Coelho, Bobrowski, Rogério
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/66158
Resumo: The planning and management of street trees are indispensable for sustainable urban development and requires knowledge of the existing situation. The identification of forest species which are present on streets and their distributions is essential to support the adequate planning of street afforestation. This information enables to carry out the general characterization of the place of interest and identify priority areas for management actions. Thus, the present study aimed to identify priority areas for interventions in urban street trees of São Pedro do Sul and to verify the influence of exotic species on the diversity index. A census was carried out collecting information about the tree species and their geographic positions, checking it with the specialized literature. The frequencies for families and species were obtained, the Shannon-Wiener index (H ') was calculated for species diversity. The spatialization of trees within the limits of neighborhoods and roads was carried out using a Kernel map. Finally, the density of individuals per kilometer of road in each neighborhood was obtained. 3365 trees were cataloged, of which 98 were not possible to be identifiable. The presence of 91 species was registered, distributed in 34 families. The Fabaceae family obtained the highest density of individuals (19.55%). Exotic species concentrated 63.98 % of the population, with Ligustrum lucidum being the most frequent species (15.66%). The municipality obtained average values of 41.18 trees per kilometer of road and a diversity index of 3.22. The attention index made it possible to identify the neighborhoods with the greatest need for adaptation in terms of the density of road afforestation. The Kernel map made it possible to visualize the distribution of the road afforestation. It was also observed that the diversity of tree species measured in each neighborhood is represented essentially by invasive alien species and that as the diversity values increase, the composition of afforestation with invasive species trees stands out.
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spelling Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS stateAnálises diretivas para o processo de gestão da arborização de calçadas em São Pedro do Sul, RSSIGArborização viáriaÍndice de diversidadeÍndice de KernelDensidadeGISStreet treesDiversity indexHeat mapDensityThe planning and management of street trees are indispensable for sustainable urban development and requires knowledge of the existing situation. The identification of forest species which are present on streets and their distributions is essential to support the adequate planning of street afforestation. This information enables to carry out the general characterization of the place of interest and identify priority areas for management actions. Thus, the present study aimed to identify priority areas for interventions in urban street trees of São Pedro do Sul and to verify the influence of exotic species on the diversity index. A census was carried out collecting information about the tree species and their geographic positions, checking it with the specialized literature. The frequencies for families and species were obtained, the Shannon-Wiener index (H ') was calculated for species diversity. The spatialization of trees within the limits of neighborhoods and roads was carried out using a Kernel map. Finally, the density of individuals per kilometer of road in each neighborhood was obtained. 3365 trees were cataloged, of which 98 were not possible to be identifiable. The presence of 91 species was registered, distributed in 34 families. The Fabaceae family obtained the highest density of individuals (19.55%). Exotic species concentrated 63.98 % of the population, with Ligustrum lucidum being the most frequent species (15.66%). The municipality obtained average values of 41.18 trees per kilometer of road and a diversity index of 3.22. The attention index made it possible to identify the neighborhoods with the greatest need for adaptation in terms of the density of road afforestation. The Kernel map made it possible to visualize the distribution of the road afforestation. It was also observed that the diversity of tree species measured in each neighborhood is represented essentially by invasive alien species and that as the diversity values increase, the composition of afforestation with invasive species trees stands out.O planejamento e manejo da arborização viária são indispensáveis para o desenvolvimento urbano sustentável e requerem o conhecimento da situação existente. A identificação e a distribuição das espécies florestais presentes nas vias públicas são fundamentais para subsidiar o planejamento adequado da arborização viária. A partir dessas informações, pode-se realizar a caracterização geral do local de interesse e identificar áreas prioritárias para ações de manejo. Dessa maneira, o presente estudo teve como objetivo identificar áreas prioritárias para intervenções na arborização viária de São Pedro do Sul e verificar a influência das espécies vegetais exóticas no índice de diversidade. Realizou-se um censo quantitativo coletando-se informações sobre a posição geográfica das árvores e arbustos e identificação das espécies vegetais. Determinaram-se as frequências para famílias e espécies e calculou-se o índice de Shannon-Wiener (H’) para diversidade de espécies. A espacialização das árvores dentro dos limites dos bairros e vias foi realizada por meio de um mapa de Kernel. Por fim, obteve-se a densidade de indivíduos por quilômetro de via em cada bairro. Foram catalogados 3365 indivíduos, dos quais 98 não foram passíveis de identificação. Registrou-se a presença de 91 espécies, distribuídas em 34 famílias. A família Fabaceae obteve a maior densidade de indivíduos (19,55%). As espécies exóticas concentraram 63,98% da população, sendo a espécie Ligustrum lucidum a mais frequente (15,66%). O município obteve valores médios de 41,18 árvores por quilômetro de via e índice de diversidade de 3,22. O índice de atenção possibilitou identificar os bairros com maiores necessidades de adequação quanto à densidade da arborização viária. O mapa de Kernel possibilitou a visualização da distribuição da arborização viária. Observou-se também que a diversidade de espécies vegetais mensurada em cada bairro está representada essencialmente por espécies vegetais exóticas invasoras e que, à medida que os valores de diversidade aumentam, a composição da arborização com árvores de espécies invasoras se destaca.Universidade Federal de Santa Maria2022-11-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6615810.5902/1980509866158Ciência Florestal; Vol. 32 No. 4 (2022); 2035-2056Ciência Florestal; v. 32 n. 4 (2022); 2035-20561980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/66158/49469https://periodicos.ufsm.br/cienciaflorestal/article/view/66158/52404Copyright (c) 2022 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFelippe, Bruno MoreiraBolzan, Marina RigonEugenio, Fernando CoelhoBobrowski, Rogério2023-04-14T13:59:38Zoai:ojs.pkp.sfu.ca:article/66158Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-04-14T13:59:38Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
Análises diretivas para o processo de gestão da arborização de calçadas em São Pedro do Sul, RS
title Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
spellingShingle Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
Felippe, Bruno Moreira
SIG
Arborização viária
Índice de diversidade
Índice de Kernel
Densidade
GIS
Street trees
Diversity index
Heat map
Density
title_short Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
title_full Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
title_fullStr Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
title_full_unstemmed Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
title_sort Directive analyzes for the management process of the trees planted on sidewalks in São Pedro do Sul, RS state
author Felippe, Bruno Moreira
author_facet Felippe, Bruno Moreira
Bolzan, Marina Rigon
Eugenio, Fernando Coelho
Bobrowski, Rogério
author_role author
author2 Bolzan, Marina Rigon
Eugenio, Fernando Coelho
Bobrowski, Rogério
author2_role author
author
author
dc.contributor.author.fl_str_mv Felippe, Bruno Moreira
Bolzan, Marina Rigon
Eugenio, Fernando Coelho
Bobrowski, Rogério
dc.subject.por.fl_str_mv SIG
Arborização viária
Índice de diversidade
Índice de Kernel
Densidade
GIS
Street trees
Diversity index
Heat map
Density
topic SIG
Arborização viária
Índice de diversidade
Índice de Kernel
Densidade
GIS
Street trees
Diversity index
Heat map
Density
description The planning and management of street trees are indispensable for sustainable urban development and requires knowledge of the existing situation. The identification of forest species which are present on streets and their distributions is essential to support the adequate planning of street afforestation. This information enables to carry out the general characterization of the place of interest and identify priority areas for management actions. Thus, the present study aimed to identify priority areas for interventions in urban street trees of São Pedro do Sul and to verify the influence of exotic species on the diversity index. A census was carried out collecting information about the tree species and their geographic positions, checking it with the specialized literature. The frequencies for families and species were obtained, the Shannon-Wiener index (H ') was calculated for species diversity. The spatialization of trees within the limits of neighborhoods and roads was carried out using a Kernel map. Finally, the density of individuals per kilometer of road in each neighborhood was obtained. 3365 trees were cataloged, of which 98 were not possible to be identifiable. The presence of 91 species was registered, distributed in 34 families. The Fabaceae family obtained the highest density of individuals (19.55%). Exotic species concentrated 63.98 % of the population, with Ligustrum lucidum being the most frequent species (15.66%). The municipality obtained average values of 41.18 trees per kilometer of road and a diversity index of 3.22. The attention index made it possible to identify the neighborhoods with the greatest need for adaptation in terms of the density of road afforestation. The Kernel map made it possible to visualize the distribution of the road afforestation. It was also observed that the diversity of tree species measured in each neighborhood is represented essentially by invasive alien species and that as the diversity values increase, the composition of afforestation with invasive species trees stands out.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/66158
10.5902/1980509866158
url https://periodicos.ufsm.br/cienciaflorestal/article/view/66158
identifier_str_mv 10.5902/1980509866158
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/66158/49469
https://periodicos.ufsm.br/cienciaflorestal/article/view/66158/52404
dc.rights.driver.fl_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 32 No. 4 (2022); 2035-2056
Ciência Florestal; v. 32 n. 4 (2022); 2035-2056
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
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instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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