A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study

Detalhes bibliográficos
Autor(a) principal: Fengler, Felipe Hashimoto
Data de Publicação: 2020
Outros Autores: Moraes, Jener Fernando Leite De, Ribeiro, Admilson Irio [UNESP], Carvalho, Marcela Merides [UNESP], Filho, Afonso Peche, Medeiros, Gerson Araujo De [UNESP], Netto, Roberto Silva, Faria, Lester De Abreu
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISC251055.2020.9239048
http://hdl.handle.net/11449/205564
Resumo: The urban growth has several effects in the environment and society. To promote a rational development in cities, the maintenance of green infrastructure is primordial. In this study, we propose a framework to evaluated changes in the environmental quality of forest fragments using open-access satellite data. The environmental quality of forest fragments was obtained using landscape ecology analysis and the prediction of future scenarios by Markov Chain Analysis and Celular Automata. We demonstrate this framework using a location that comprises an environmental preservation area, the JundiaíMirim river basin, containing the remnants of Atlantic forest near the Saõ Paulo state capital, southeast of Brazil. The results showed a constant trend of deterioration in the environmental quality of natural vegetation, attributed to the intense occupation process of urbanization in the watershed. The proposed methodology showed great potential to prevent the deterioration of urban forests, allowing the understanding of driving factors and disturbance dynamic in forest fragments. The locations of very low environmental quality proved to be the most vulnerable to the occupation process, highlighting the need of actions to preserve the Atlantic forest in Jundiaí-Mirim river basin.
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spelling A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case studyMarkov ChainSmart ecosystemSmart environmentUrban forestsThe urban growth has several effects in the environment and society. To promote a rational development in cities, the maintenance of green infrastructure is primordial. In this study, we propose a framework to evaluated changes in the environmental quality of forest fragments using open-access satellite data. The environmental quality of forest fragments was obtained using landscape ecology analysis and the prediction of future scenarios by Markov Chain Analysis and Celular Automata. We demonstrate this framework using a location that comprises an environmental preservation area, the JundiaíMirim river basin, containing the remnants of Atlantic forest near the Saõ Paulo state capital, southeast of Brazil. The results showed a constant trend of deterioration in the environmental quality of natural vegetation, attributed to the intense occupation process of urbanization in the watershed. The proposed methodology showed great potential to prevent the deterioration of urban forests, allowing the understanding of driving factors and disturbance dynamic in forest fragments. The locations of very low environmental quality proved to be the most vulnerable to the occupation process, highlighting the need of actions to preserve the Atlantic forest in Jundiaí-Mirim river basin.FACENSAgronomic Institute of Campinas Soil and Environment Resources CenterUNESP Tecnology InstituteUNESP Tecnology Institute Environmental SciencesAgronomic Institute of Campinas Departament of MecanizationSmart Campus Facens FACENSFacens Research Center FACENSUNESP Tecnology InstituteUNESP Tecnology Institute Environmental SciencesFACENSSoil and Environment Resources CenterUniversidade Estadual Paulista (Unesp)Agronomic Institute of CampinasFengler, Felipe HashimotoMoraes, Jener Fernando Leite DeRibeiro, Admilson Irio [UNESP]Carvalho, Marcela Merides [UNESP]Filho, Afonso PecheMedeiros, Gerson Araujo De [UNESP]Netto, Roberto SilvaFaria, Lester De Abreu2021-06-25T10:17:29Z2021-06-25T10:17:29Z2020-09-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISC251055.2020.92390482020 IEEE International Smart Cities Conference, ISC2 2020.http://hdl.handle.net/11449/20556410.1109/ISC251055.2020.92390482-s2.0-85097184584Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 IEEE International Smart Cities Conference, ISC2 2020info:eu-repo/semantics/openAccess2021-10-23T14:54:07Zoai:repositorio.unesp.br:11449/205564Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:21:51.074249Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
title A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
spellingShingle A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
Fengler, Felipe Hashimoto
Markov Chain
Smart ecosystem
Smart environment
Urban forests
title_short A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
title_full A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
title_fullStr A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
title_full_unstemmed A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
title_sort A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
author Fengler, Felipe Hashimoto
author_facet Fengler, Felipe Hashimoto
Moraes, Jener Fernando Leite De
Ribeiro, Admilson Irio [UNESP]
Carvalho, Marcela Merides [UNESP]
Filho, Afonso Peche
Medeiros, Gerson Araujo De [UNESP]
Netto, Roberto Silva
Faria, Lester De Abreu
author_role author
author2 Moraes, Jener Fernando Leite De
Ribeiro, Admilson Irio [UNESP]
Carvalho, Marcela Merides [UNESP]
Filho, Afonso Peche
Medeiros, Gerson Araujo De [UNESP]
Netto, Roberto Silva
Faria, Lester De Abreu
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv FACENS
Soil and Environment Resources Center
Universidade Estadual Paulista (Unesp)
Agronomic Institute of Campinas
dc.contributor.author.fl_str_mv Fengler, Felipe Hashimoto
Moraes, Jener Fernando Leite De
Ribeiro, Admilson Irio [UNESP]
Carvalho, Marcela Merides [UNESP]
Filho, Afonso Peche
Medeiros, Gerson Araujo De [UNESP]
Netto, Roberto Silva
Faria, Lester De Abreu
dc.subject.por.fl_str_mv Markov Chain
Smart ecosystem
Smart environment
Urban forests
topic Markov Chain
Smart ecosystem
Smart environment
Urban forests
description The urban growth has several effects in the environment and society. To promote a rational development in cities, the maintenance of green infrastructure is primordial. In this study, we propose a framework to evaluated changes in the environmental quality of forest fragments using open-access satellite data. The environmental quality of forest fragments was obtained using landscape ecology analysis and the prediction of future scenarios by Markov Chain Analysis and Celular Automata. We demonstrate this framework using a location that comprises an environmental preservation area, the JundiaíMirim river basin, containing the remnants of Atlantic forest near the Saõ Paulo state capital, southeast of Brazil. The results showed a constant trend of deterioration in the environmental quality of natural vegetation, attributed to the intense occupation process of urbanization in the watershed. The proposed methodology showed great potential to prevent the deterioration of urban forests, allowing the understanding of driving factors and disturbance dynamic in forest fragments. The locations of very low environmental quality proved to be the most vulnerable to the occupation process, highlighting the need of actions to preserve the Atlantic forest in Jundiaí-Mirim river basin.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-28
2021-06-25T10:17:29Z
2021-06-25T10:17:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISC251055.2020.9239048
2020 IEEE International Smart Cities Conference, ISC2 2020.
http://hdl.handle.net/11449/205564
10.1109/ISC251055.2020.9239048
2-s2.0-85097184584
url http://dx.doi.org/10.1109/ISC251055.2020.9239048
http://hdl.handle.net/11449/205564
identifier_str_mv 2020 IEEE International Smart Cities Conference, ISC2 2020.
10.1109/ISC251055.2020.9239048
2-s2.0-85097184584
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2020 IEEE International Smart Cities Conference, ISC2 2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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