Integrating drivers influencing the detection of plant pests carried in the international cut flower trade

Journal of Environmental Management

Volumn 89, Issue 4, 2008, Pages 300-307

  Areal, F J ^a   Touza, J ^b   MacLeod, A ^a   Dehnen Schmutz, K ^c   Perrings, C ^d   Palmieri, M G ^e   Spence, N J ^a  

^a Central Science Laboratory   (United Kingdom)

^b HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^c UNIVERSITY OF YORK   (United Kingdom)

^d Arizona State University Main Campus   (United States)

^e UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

Alien invasive species; Count data models; Cut flowers; Phytosanitary inspection; Plant pest species

Indexed keywords

CHEMICAL DETECTION; COMMERCE; REGRESSION ANALYSIS; RISK ASSESSMENT;

ALIEN INVASIVE SPECIES; COUNT DATA MODELING; CUT FLOWERS; DETECTION EFFORTS; INVASIVE SPECIES; PAPER ANALYSIS; PHYTOSANITARY; PHYTOSANITARY INSPECTION; PLANT PEST SPECIES; PLANT PESTS;

INSPECTION;

DETECTION METHOD; FLOWER; IMPORT; INTERNATIONAL TRADE; INVASIVE SPECIES; PEST SPECIES; PROBABILITY; REGRESSION ANALYSIS;

ARTICLE; CARTHAMUS; CUT FLOWER; ENVIRONMENTAL MANAGEMENT; KENYA; NONHUMAN; PEST CONTROL; PEST MANAGEMENT; PLANT PEST; PROBABILITY; REGRESSION ANALYSIS; RESOURCE ALLOCATION; RISK ASSESSMENT; RISK MANAGEMENT; RISK REDUCTION; SPECIES INVASION; TRAVEL; UNITED KINGDOM; VERONICA;

EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

CARTHAMUS; VERONICA;

EID: 51149123668     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2007.06.017     Document Type: Article

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