Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/38430 |
Resumo: | Ocotea odorifera is an endangered tree species, threatened by the urbanization process that occurs in the region of Curitiba, Paraná state, among other factors. Thus, the knowledge about their geographical distribution becomes necessary to plan protected areas that mitigate the effects caused by anthropic pressures on their populations. Therefore, the objective of this research was to develop a model of the potential geographic distribution of Ocotea odorifera and to verify the region of the municipality of Curitiba more relevant to its conservation. First, we georeferenced individuals of the species found in the municipality, while the model of potential distribution of the species was performed using the Maxent® algorithm, using meteorological and topological data as environmental variables. The Jackknife test indicated the most relevant variables to the model and the Area Under the Curve (AUC) indicated its accuracy. The potential distribution map was superimposed on a shapefile file containing the delimitation of 80 protected green areas with fragments of native vegetation. As a whole, 12 occurrence points of the species were located in seven sites. The map generated by Maxent indicated that the central-northern region of Curitiba presents the highest probability of Ocotea odorifera occurrence, corresponding to 19,550.30 ha. The model explained 96.3% of the species distribution in the study area. The relative contribution and the Jackknife test indicated that the most relevant variable to the model was pedology. In future plantings of the species, the pedology should be considered during its planning, as well as other specific characteristics of the soil at each site. |
id |
UFSM-6_2f95e30c0238414a3b8b44569b7a4d61 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/38430 |
network_acronym_str |
UFSM-6 |
network_name_str |
Ciência Florestal (Online) |
repository_id_str |
|
spelling |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, BrazilDistribuição potencial de Ocotea odorifera (Vell.) Rohwer na área urbana de Curitiba, Paraná, BrasilCanela-sassafrásMaxentSpecies distribution modelingUrban forestCanela-sassafrásFloresta urbanaMaxentModelagem de distribuição de espéciesOcotea odorifera is an endangered tree species, threatened by the urbanization process that occurs in the region of Curitiba, Paraná state, among other factors. Thus, the knowledge about their geographical distribution becomes necessary to plan protected areas that mitigate the effects caused by anthropic pressures on their populations. Therefore, the objective of this research was to develop a model of the potential geographic distribution of Ocotea odorifera and to verify the region of the municipality of Curitiba more relevant to its conservation. First, we georeferenced individuals of the species found in the municipality, while the model of potential distribution of the species was performed using the Maxent® algorithm, using meteorological and topological data as environmental variables. The Jackknife test indicated the most relevant variables to the model and the Area Under the Curve (AUC) indicated its accuracy. The potential distribution map was superimposed on a shapefile file containing the delimitation of 80 protected green areas with fragments of native vegetation. As a whole, 12 occurrence points of the species were located in seven sites. The map generated by Maxent indicated that the central-northern region of Curitiba presents the highest probability of Ocotea odorifera occurrence, corresponding to 19,550.30 ha. The model explained 96.3% of the species distribution in the study area. The relative contribution and the Jackknife test indicated that the most relevant variable to the model was pedology. In future plantings of the species, the pedology should be considered during its planning, as well as other specific characteristics of the soil at each site. Ocotea odorifera é uma espécie arbórea ameaçada de extinção devido ao processo de urbanização que ocorre na região de Curitiba, Paraná. Assim, visando o planejamento de áreas de conservação que mitiguem os efeitos ocasionados pelas pressões antrópicas sobre as suas populações, torna-se necessário o conhecimento sobre a sua distribuição geográfica. Portanto, o objetivo da pesquisa foi desenvolver um modelo de distribuição geográfica potencial de Ocotea odorifera e verificar a região do município de Curitiba mais relevante a sua conservação. Primeiramente, foram georreferenciados indivíduos da espécie encontrados no município, enquanto a modelagem de distribuição potencial da espécie foi realizada por meio do algoritmo Maxent®, sendo utilizados como variáveis ambientais os dados meteorológicos e topo-edáficos. O teste de Jackknife indicou as variáveis mais relevantes ao modelo e a Área Sob a Curva (AUC), a sua acurácia. O mapa de distribuição potencial foi sobreposto a um arquivo shapefile contendo a delimitação de 80 áreas verdes protegidas com remanescentes de vegetação. Ao todo, 12 pontos de ocorrência da espécie foram localizados, em sete locais. O mapa gerado pelo Maxent indicou que a região centro-norte de Curitiba apresenta as maiores probabilidades de ocorrência de Ocotea odorifera, correspondendo a 19.550,30 ha. O modelo explicou 96,3% da distribuição da espécie na área de estudo. A contribuição relativa e o teste de Jackknife indicaram que a variável mais relevante ao modelo foi pedologia. Em futuros plantios da espécie deve-se considerar a pedologia durante o seu planejamento, além de outras características específicas do solo em cada local de plantio.Universidade Federal de Santa Maria2019-12-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3843010.5902/1980509838430Ciência Florestal; Vol. 29 No. 4 (2019); 1782-1795Ciência Florestal; v. 29 n. 4 (2019); 1782-17951980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaflorestal/article/view/38430/38430Copyright (c) 2019 Ciência Florestalinfo:eu-repo/semantics/openAccessReis, Allan Rodrigo Nunho dosBiondi, DanielaGrise, Mayssa MascarenhasViezzer, JenniferKovalsyki, BrunaXimenes, Eduarda2019-12-10T21:30:48Zoai:ojs.pkp.sfu.ca:article/38430Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2019-12-10T21:30:48Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil Distribuição potencial de Ocotea odorifera (Vell.) Rohwer na área urbana de Curitiba, Paraná, Brasil |
title |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
spellingShingle |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil Reis, Allan Rodrigo Nunho dos Canela-sassafrás Maxent Species distribution modeling Urban forest Canela-sassafrás Floresta urbana Maxent Modelagem de distribuição de espécies |
title_short |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
title_full |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
title_fullStr |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
title_full_unstemmed |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
title_sort |
Potential distribution of Ocotea odorifera (Vell.) Rohwer in urban areas of Curitiba, Paraná state, Brazil |
author |
Reis, Allan Rodrigo Nunho dos |
author_facet |
Reis, Allan Rodrigo Nunho dos Biondi, Daniela Grise, Mayssa Mascarenhas Viezzer, Jennifer Kovalsyki, Bruna Ximenes, Eduarda |
author_role |
author |
author2 |
Biondi, Daniela Grise, Mayssa Mascarenhas Viezzer, Jennifer Kovalsyki, Bruna Ximenes, Eduarda |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Reis, Allan Rodrigo Nunho dos Biondi, Daniela Grise, Mayssa Mascarenhas Viezzer, Jennifer Kovalsyki, Bruna Ximenes, Eduarda |
dc.subject.por.fl_str_mv |
Canela-sassafrás Maxent Species distribution modeling Urban forest Canela-sassafrás Floresta urbana Maxent Modelagem de distribuição de espécies |
topic |
Canela-sassafrás Maxent Species distribution modeling Urban forest Canela-sassafrás Floresta urbana Maxent Modelagem de distribuição de espécies |
description |
Ocotea odorifera is an endangered tree species, threatened by the urbanization process that occurs in the region of Curitiba, Paraná state, among other factors. Thus, the knowledge about their geographical distribution becomes necessary to plan protected areas that mitigate the effects caused by anthropic pressures on their populations. Therefore, the objective of this research was to develop a model of the potential geographic distribution of Ocotea odorifera and to verify the region of the municipality of Curitiba more relevant to its conservation. First, we georeferenced individuals of the species found in the municipality, while the model of potential distribution of the species was performed using the Maxent® algorithm, using meteorological and topological data as environmental variables. The Jackknife test indicated the most relevant variables to the model and the Area Under the Curve (AUC) indicated its accuracy. The potential distribution map was superimposed on a shapefile file containing the delimitation of 80 protected green areas with fragments of native vegetation. As a whole, 12 occurrence points of the species were located in seven sites. The map generated by Maxent indicated that the central-northern region of Curitiba presents the highest probability of Ocotea odorifera occurrence, corresponding to 19,550.30 ha. The model explained 96.3% of the species distribution in the study area. The relative contribution and the Jackknife test indicated that the most relevant variable to the model was pedology. In future plantings of the species, the pedology should be considered during its planning, as well as other specific characteristics of the soil at each site. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-10 |
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://periodicos.ufsm.br/cienciaflorestal/article/view/38430 10.5902/1980509838430 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/38430 |
identifier_str_mv |
10.5902/1980509838430 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/38430/38430 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Ciência Florestal info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Ciência Florestal |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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. 29 No. 4 (2019); 1782-1795 Ciência Florestal; v. 29 n. 4 (2019); 1782-1795 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
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 |
_version_ |
1799944134761381888 |