Your browser doesn't support javascript.
loading
Predictors, spatial distribution, and occurrence of woody invasive plants in subtropical urban ecosystems.
Staudhammer, Christina L; Escobedo, Francisco J; Holt, Nathan; Young, Linda J; Brandeis, Thomas J; Zipperer, Wayne.
Affiliation
  • Staudhammer CL; Department of Biological Sciences, University of Alabama, PO Box 870344, Tuscaloosa, AL 35847, USA. Electronic address: cstaudhammer@ua.edu.
  • Escobedo FJ; School of Forest Resources and Conservation, University of Florida, 361 Newins-Ziegler Hall, PO Box 110410, Gainesville, FL 32611, USA. Electronic address: fescobed@ufl.edu.
  • Holt N; Department of Statistics, University of Florida, PO Box 110339, Gainesville, FL 32611-0339, USA. Electronic address: nate.m.holt@gmail.com.
  • Young LJ; Department of Statistics, University of Florida, PO Box 110339, Gainesville, FL 32611-0339, USA. Electronic address: ljyoung@ufl.edu.
  • Brandeis TJ; USDA Forest Service, Southern Research Station, 4700 Old Kingston Pike, Knoxville, TN 37919, USA. Electronic address: tjbrandeis@fs.fed.us.
  • Zipperer W; USDA Forest Service, Southern Research Station, PO Box 110806, Gainesville, FL 23611-0806, USA. Electronic address: wzipperer@fs.fed.us.
J Environ Manage ; 155: 97-105, 2015 May 15.
Article in En | MEDLINE | ID: mdl-25776798
ABSTRACT
We 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Ecosystem Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte / Caribe / Puerto rico Language: En Journal: J Environ Manage Year: 2015 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Ecosystem Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte / Caribe / Puerto rico Language: En Journal: J Environ Manage Year: 2015 Type: Article