Multivariate forecasts of potential distributions of invasive plant species

Ecological Applications

Volumn 19, Issue 2, 2009, Pages 359-375

  Ibáñez, Inés ^a,c   Silander Jr , John A ^a   Wilson, Adam M ^a   Lafleur, Nancy ^a   Tanaka, Nobuyuki ^b   Tsuyama, Ikutaro ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b FORESTRY AND FOREST PRODUCTS RESEARCH INSTITUTE   (Japan)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Berberis thunbergii; Celastrus orbiculatus; Distributional range; Euonymus alatus; Hierarchical Bayes; Invasive species; Land cover; Land use; Multiscale; Multivariate; New England; USA

Indexed keywords

BAYESIAN ANALYSIS; BIOLOGICAL INVASION; DICOTYLEDON; ENVIRONMENTAL FACTOR; HABITAT TYPE; INVASIVE SPECIES; LANDSCAPE STRUCTURE; PREDICTION; SPATIAL DISTRIBUTION; WOODY PLANT;

ARTICLE; BAYES THEOREM; BERBERIS; BIOLOGICAL MODEL; CELASTRUS; CLIMATE; ECOSYSTEM; EUONYMUS; FORECASTING; GROWTH, DEVELOPMENT AND AGING; MULTIVARIATE ANALYSIS; POPULATION DENSITY; POPULATION DYNAMICS; UNITED STATES; VALIDATION STUDY;

BAYES THEOREM; BERBERIS; CELASTRUS; CLIMATE; ECOSYSTEM; EUONYMUS; FORECASTING; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; NEW ENGLAND; POPULATION DENSITY; POPULATION DYNAMICS;

NEW ENGLAND; NORTH AMERICA; UNITED STATES;

BERBERIS; BERBERIS THUNBERGII; CELASTRUS; CELASTRUS ORBICULATUS; EUONYMUS; EUONYMUS ALATUS;

EID: 65349162791     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/07-2095.1     Document Type: Article

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