A framework to evaluate the environmental quality and simulate future scenarios of urban forests: Atlantic forest case study
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
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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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 |
|
_version_ |
1808128352831143936 |