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Ranking nonindigenous weed species by their potential to invade the United States

Author
PARKER, Chris1 ; CATON, Barney P2 ; FOWLER, Larry2
[1] Weed Science Society of America, 5 Royal York Crescent, Bristol BS84JZ, United Kingdom
[2] Center for Plant Health Science and Technology, Plant Protection and Quarantine, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, 1730 Varsity Drive, Suite 300, Raleigh, NC 27606, United States
Source

Weed science. 2007, Vol 55, Num 4, pp 386-397, 12 p ; ref : 1 p

CODEN
WEESA6
ISSN
0043-1745
Scientific domain
Agronomy, agriculture, phytopathology
Publisher
Weed Science Society of America, Lawrence, KS
Publication country
United States
Document type
Article
Language
English
Author keyword
Invasive exotic weeds invasiveness model weed risk assessment
Keyword (fr)
Analyse risque Espèce introduite Invasion Malherbologie Mauvaise herbe Modèle Modélisation Rangement Etats Unis Amérique du Nord Amérique
Keyword (en)
Risk analysis Introduced species Invasion Weed science Weed Models Modeling Ranking United States North America America
Keyword (es)
Análisis riesgo Especie introducida Invasión Ciencia malas hierbas Malezas Modelo Modelización Ordenamiento Estados Unidos America del norte America
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A34 Phytopathology. Animal pests. Plant and forest protection / 002A34H Parasitic plants. Weeds / 002A34H02 Weeds

Discipline
Phytopathology. Agricultural zoology. Crops and forests protection
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18943536

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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