Mapping invasive species risks with stochastic models: A cross-border United States-Canada application for sirex noctilio fabricius

Risk Analysis

Volumn 29, Issue 6, 2009, Pages 868-884

  Yemshanov, Denys ^a   Koch, Frank H ^b   McKenney, Daniel W ^a   Downing, Marla C ^c   Sapio, Frank ^c  

^a GREAT LAKES FORESTRY CENTRE   (Canada)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c USDA FOREST SERVICE   (United States)

Author keywords

Binary entropy; Global entry potential; Host resource; Marine imports; Ports of entry; Risk mapping; Sirex noctilio; Stochastic model

Indexed keywords

BINARY ENTROPY; GLOBAL ENTRY POTENTIAL; HOST RESOURCE; MARINE IMPORTS; PORTS OF ENTRY; SIREX NOCTILIO;

FORESTRY; INTERNATIONAL TRADE; RANDOM PROCESSES; RISKS; STOCHASTIC CONTROL SYSTEMS;

STOCHASTIC MODELS;

CONIFEROUS FOREST; FOREST HEALTH; GEOGRAPHICAL DISTRIBUTION; INVASIVE SPECIES; NUMERICAL MODEL; PEST SPECIES; RISK ASSESSMENT; SHIPPING; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY; WASP;

ARTICLE; GEOGRAPHIC DISTRIBUTION; LANDSCAPE; NONHUMAN; NORTH AMERICA; PEST ORGANISM; PINE; RISK ASSESSMENT; SIREX NOCTILIO FABRICIUS; SPECIES DISTRIBUTION; SPECIES INVASION; STOCHASTIC MODEL;

ANIMALS; CANADA; HYMENOPTERA; RISK ASSESSMENT; STOCHASTIC PROCESSES; UNITED STATES;

CONTROL SYSTEMS; ENTROPY; FOREIGN TRADE; FORESTRY; MODELS; PACKAGING MATERIALS; PEST CONTROL; RANDOM PROCESSES; RESOURCES; RISK ASSESSMENT; SIMULATION; STANDARDS; WOOD;

NORTH AMERICA;

SIREX NOCTILIO;

EID: 65549089080     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2009.01203.x     Document Type: Article

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