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Predictors, spatial distribution, and occurrence of woody invasive plants in subtropical urban ecosystems

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dc.creatorStaudhammer, Christina L.spa
dc.creatorEscobedo, Francisco J.spa
dc.creatorHolt, Nathanspa
dc.creatorYoung, Linda J.spa
dc.creatorBrandeis, Thomas J.spa
dc.creatorZipperer, Waynespa
dc.date.accessioned2020-08-06T16:20:28Z
dc.date.available2020-08-06T16:20:28Z
dc.date.created2015-05-15spa
dc.description.abstractWe examined the spatial distribution, occurrence, and socioecological predictors of woody invasive plants (WIP) in two subtropical, coastal urban ecosystems: San Juan, Puerto Rico and Miami-Dade, United States. These two cities have similar climates and ecosystems typical of subtropical regions but differ in socioeconomics, topography, and urbanization processes. Using permanent plot data, available forest inventory protocols and statistical analyses of geographic and socioeconomic spatial predictors, we found that landscape level distribution and occurrence of WIPs was not clustered. We also characterized WIP composition and occurrence using logistic models, and found they were strongly related to the proportional area of residential land uses. However, the magnitude and trend of increase depended on median household income and grass cover. In San Juan, WIP occurrence was higher in areas of high residential cover when incomes were low or grass cover was low, whereas the opposite was true in Miami-Dade. Although Miami-Dade had greater invasive shrub cover and numbers of WIP species, San Juan had far greater invasive tree density, basal area and crown cover. This study provides an approach for incorporating field and available census data in geospatial distribution models of WIPs in cities throughout the globe. Findings indicate that identifying spatial predictors of WIPs depends on site-specific factors and the ecological scale of the predictor. Thus, mapping protocols and policies to eradicate urban WIPs should target indicators of a relevant scale specific to the area of interest for their improved and proactive management.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.jenvman.2015.03.012
dc.identifier.issnISSN: 0301-4797
dc.identifier.issnEISSN: 1095-8630
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26024
dc.language.isoengspa
dc.publisherElsevierspa
dc.relation.citationEndPage105
dc.relation.citationStartPage97
dc.relation.citationTitleJournal of Environmental Management
dc.relation.citationVolumeVol. 155
dc.relation.ispartofJournal of Environmental Management, ISSN: 0301-4797;EISSN: 1095-8630, Vol.155 (2015); pp.97-105spa
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0301479715001425?via%3Dihubspa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceJournal of Environmental Managementspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordSpatial analysisspa
dc.subject.keywordUrban forest structurespa
dc.subject.keywordForest inventory and analysisspa
dc.subject.keywordSocio-ecological systemsspa
dc.subject.keywordPredictive modelsspa
dc.titlePredictors, spatial distribution, and occurrence of woody invasive plants in subtropical urban ecosystemsspa
dc.title.TranslatedTitlePredictores, distribución espacial y presencia de plantas invasoras leñosas en ecosistemas urbanos subtropicales.spa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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