Analyzing the causal factors of carbon stores in a subtropical urban forest
Studies of forests and urban forest ecosystems have documented the various biophysical and socioeconomic correlates of carbon storage. Tree cover in particular is often used as a determinant of carbon storage for local and national level urban forest assessments. However, the relationships among var...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/26984
- Acceso en línea:
- https://doi.org/10.1016/j.ecocom.2014.07.001
https://repository.urosario.edu.co/handle/10336/26984
- Palabra clave:
- Carbon storage
Path analysis
Urban forest biomass
Puerto Rico
Urban forest structure
- Rights
- License
- Restringido (Acceso a grupos específicos)
id |
EDOCUR2_0833b570d34efd32a802d3082cdf8522 |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/26984 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
spelling |
383a9ae4-d19b-4ab4-a86b-875fb2771725-12d7c8bf2-67a1-46d2-a8e0-b82768ad86d9-1812c0f82-84d9-4303-94e2-ac6bad7008e4-19c8811cc-e753-4fbe-8c04-399c3d3c1125-12020-08-19T14:40:40Z2020-08-19T14:40:40Z2014-12-01Studies of forests and urban forest ecosystems have documented the various biophysical and socioeconomic correlates of carbon storage. Tree cover in particular is often used as a determinant of carbon storage for local and national level urban forest assessments. However, the relationships among variables describing the biophysical and socioeconomic environment and carbon are not simple statistical ones. Instead, there are complex interactions that can have either a unidirectional causal effects, or produce indirect effects through interactions with other ecosystem structure and landscape characteristics. Thus, understanding the direct and indirect effects of structure, composition, and landscape characteristics is key to quantifying ecosystem services. This study used field data from plots across an urban watershed, site-specific biomass equations, and structural equation modeling of urban forest structure and landscape variables to quantify the causal influences of tree cover, land use, stand density, species composition and diversity on carbon stores. Our path analysis shows that the effect of tree cover on carbon stores is not only direct but also indirect and influential through basal area and composition. Findings suggest that species composition, species diversity and land use have much more complex relationships than previously reported in the urban forest literature. The use of path analysis in these types of studies also presents a novel method to better analyze and quantify these direct and indirect effects on urban forest carbon stores. Findings have implications for urban forest ecosystem assessments that use tree cover as the sole metric for inferring ecosystem functions and servicesapplication/pdfhttps://doi.org/10.1016/j.ecocom.2014.07.001ISSN: 1476-945Xhttps://repository.urosario.edu.co/handle/10336/26984engElsevier3223Ecological ComplexityVol. 20Ecological Complexity, ISSN:1476-945X, Vol.20 (December, 2014); pp. 23-32https://www.sciencedirect.com/science/article/abs/pii/S1476945X14000713Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecEcological Complexityinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCarbon storagePath analysisUrban forest biomassPuerto RicoUrban forest structureAnalyzing the causal factors of carbon stores in a subtropical urban forestAnálisis de los factores causales de las reservas de carbono en un bosque urbano subtropicalarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Timilsina, NileshEscobedo, Francisco J.Staudhammer, Christina L.Brandeis, Thomas10336/26984oai:repository.urosario.edu.co:10336/269842021-06-03 00:50:03.508https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
dc.title.TranslatedTitle.spa.fl_str_mv |
Análisis de los factores causales de las reservas de carbono en un bosque urbano subtropical |
title |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
spellingShingle |
Analyzing the causal factors of carbon stores in a subtropical urban forest Carbon storage Path analysis Urban forest biomass Puerto Rico Urban forest structure |
title_short |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
title_full |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
title_fullStr |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
title_full_unstemmed |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
title_sort |
Analyzing the causal factors of carbon stores in a subtropical urban forest |
dc.subject.keyword.spa.fl_str_mv |
Carbon storage Path analysis Urban forest biomass Puerto Rico Urban forest structure |
topic |
Carbon storage Path analysis Urban forest biomass Puerto Rico Urban forest structure |
description |
Studies of forests and urban forest ecosystems have documented the various biophysical and socioeconomic correlates of carbon storage. Tree cover in particular is often used as a determinant of carbon storage for local and national level urban forest assessments. However, the relationships among variables describing the biophysical and socioeconomic environment and carbon are not simple statistical ones. Instead, there are complex interactions that can have either a unidirectional causal effects, or produce indirect effects through interactions with other ecosystem structure and landscape characteristics. Thus, understanding the direct and indirect effects of structure, composition, and landscape characteristics is key to quantifying ecosystem services. This study used field data from plots across an urban watershed, site-specific biomass equations, and structural equation modeling of urban forest structure and landscape variables to quantify the causal influences of tree cover, land use, stand density, species composition and diversity on carbon stores. Our path analysis shows that the effect of tree cover on carbon stores is not only direct but also indirect and influential through basal area and composition. Findings suggest that species composition, species diversity and land use have much more complex relationships than previously reported in the urban forest literature. The use of path analysis in these types of studies also presents a novel method to better analyze and quantify these direct and indirect effects on urban forest carbon stores. Findings have implications for urban forest ecosystem assessments that use tree cover as the sole metric for inferring ecosystem functions and services |
publishDate |
2014 |
dc.date.created.spa.fl_str_mv |
2014-12-01 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:40:40Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:40:40Z |
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/10.1016/j.ecocom.2014.07.001 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 1476-945X |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/26984 |
url |
https://doi.org/10.1016/j.ecocom.2014.07.001 https://repository.urosario.edu.co/handle/10336/26984 |
identifier_str_mv |
ISSN: 1476-945X |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
32 |
dc.relation.citationStartPage.none.fl_str_mv |
23 |
dc.relation.citationTitle.none.fl_str_mv |
Ecological Complexity |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 20 |
dc.relation.ispartof.spa.fl_str_mv |
Ecological Complexity, ISSN:1476-945X, Vol.20 (December, 2014); pp. 23-32 |
dc.relation.uri.spa.fl_str_mv |
https://www.sciencedirect.com/science/article/abs/pii/S1476945X14000713 |
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 |
Elsevier |
dc.source.spa.fl_str_mv |
Ecological Complexity |
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 |
_version_ |
1814167620583161856 |