Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest

Cities are increasingly promoting policies that increase and conserve urban forests based largely on biophysical and land use-cover metrics. This study demonstrates how socioeconomic factors need to be considered in geospatial analyses when formulating urban greening policies. Using remote sensing,...

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Autores:
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26970
Acceso en línea:
https://doi.org/10.2747/1548-1603.49.3.428
https://repository.urosario.edu.co/handle/10336/26970
Palabra clave:
Urban greening policies
Socioeconomic factors
Urban forest cover
Geospatial approach
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id EDOCUR2_7a4ab7cdbe7be8cd19b8d377c2b04625
oai_identifier_str oai:repository.urosario.edu.co:10336/26970
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling b8420d3d-ae5e-4153-9ef6-a87a2a6e2bc9-19ae99ce8-fc5b-408a-9ab0-eab12cb36c9e-10d28b405-48aa-49b8-96af-9e4f9a3b2be9-1f73f5103-a60c-48c1-97d3-ce4062077844-1c0a2c37a-ed2c-442b-957b-a93788108155-12020-08-19T14:40:38Z2020-08-19T14:40:38Z2012-01-01Cities are increasingly promoting policies that increase and conserve urban forests based largely on biophysical and land use-cover metrics. This study demonstrates how socioeconomic factors need to be considered in geospatial analyses when formulating urban greening policies. Using remote sensing, geographical information systems, spatial field and census data, and policy analyses, we analyzed the effectiveness of urban forest cover policies that included socioeconomic factors when quantifying urban forest cover. We found that urban forest cover was heterogeneous across the study area and non-white residents younger than 19 and greater than 45 years old living in rentals were more likely to reside in areas with less urban forest cover than any other age cohort. Our analyses also indicated that urban forest cover was temporally variable and demographic factors unique to Miami-Dade County bring to light the complexity of establishing homogenous, county-wide 'tree canopy' and urban greening policy goals. We present a localized socioeconomic and ecologically based geospatial approach for formulating urban forest cover goals.application/pdfhttps://doi.org/10.2747/1548-1603.49.3.428ISSN: 1548-1603https://repository.urosario.edu.co/handle/10336/26970engTaylor & Francis449No. 3428GIScience and Remote SensingVol. 49GIScience and Remote Sensing, ISSN:1548-1603, Vol.49, No.3 (May, 2013); pp. 428-449https://www.tandfonline.com/doi/abs/10.2747/1548-1603.49.3.428Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecGIScience and Remote Sensinginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURUrban greening policiesSocioeconomic factorsUrban forest coverGeospatial approachSocioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban ForestFactores socioeconómicos y políticas de cobertura arbórea urbana en un bosque urbano subtropicalarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Szantoi, ZoltanEscobedo, FranciscoWagner, JohnRodriguez, Joysee M.Smith, Scot10336/26970oai:repository.urosario.edu.co:10336/269702022-05-02 07:37:21.865268https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
dc.title.TranslatedTitle.spa.fl_str_mv Factores socioeconómicos y políticas de cobertura arbórea urbana en un bosque urbano subtropical
title Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
spellingShingle Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
Urban greening policies
Socioeconomic factors
Urban forest cover
Geospatial approach
title_short Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
title_full Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
title_fullStr Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
title_full_unstemmed Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
title_sort Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest
dc.subject.keyword.spa.fl_str_mv Urban greening policies
Socioeconomic factors
Urban forest cover
Geospatial approach
topic Urban greening policies
Socioeconomic factors
Urban forest cover
Geospatial approach
description Cities are increasingly promoting policies that increase and conserve urban forests based largely on biophysical and land use-cover metrics. This study demonstrates how socioeconomic factors need to be considered in geospatial analyses when formulating urban greening policies. Using remote sensing, geographical information systems, spatial field and census data, and policy analyses, we analyzed the effectiveness of urban forest cover policies that included socioeconomic factors when quantifying urban forest cover. We found that urban forest cover was heterogeneous across the study area and non-white residents younger than 19 and greater than 45 years old living in rentals were more likely to reside in areas with less urban forest cover than any other age cohort. Our analyses also indicated that urban forest cover was temporally variable and demographic factors unique to Miami-Dade County bring to light the complexity of establishing homogenous, county-wide 'tree canopy' and urban greening policy goals. We present a localized socioeconomic and ecologically based geospatial approach for formulating urban forest cover goals.
publishDate 2012
dc.date.created.spa.fl_str_mv 2012-01-01
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:40:38Z
dc.date.available.none.fl_str_mv 2020-08-19T14:40:38Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.2747/1548-1603.49.3.428
dc.identifier.issn.none.fl_str_mv ISSN: 1548-1603
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/26970
url https://doi.org/10.2747/1548-1603.49.3.428
https://repository.urosario.edu.co/handle/10336/26970
identifier_str_mv ISSN: 1548-1603
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 449
dc.relation.citationIssue.none.fl_str_mv No. 3
dc.relation.citationStartPage.none.fl_str_mv 428
dc.relation.citationTitle.none.fl_str_mv GIScience and Remote Sensing
dc.relation.citationVolume.none.fl_str_mv Vol. 49
dc.relation.ispartof.spa.fl_str_mv GIScience and Remote Sensing, ISSN:1548-1603, Vol.49, No.3 (May, 2013); pp. 428-449
dc.relation.uri.spa.fl_str_mv https://www.tandfonline.com/doi/abs/10.2747/1548-1603.49.3.428
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Taylor & Francis
dc.source.spa.fl_str_mv GIScience and Remote Sensing
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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