Predicting Argentine ant spread over the heterogeneous landscape using a spatially explicit stochastic model

Ecological Applications

Volumn 19, Issue 5, 2009, Pages 1176-1186

  Pitt, Joel P W ^a,c   Worner, Sue P ^a   Suarez, Andrew V ^b  

^a LINCOLN UNIVERSITY   (New Zealand)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c Fruition Technology   (New Zealand)

Author keywords

Argentine ant; Heterogeneous landscape; Invasive species; Linepithema humile; Longdistance dispersal; New Zealand; Pest risk assessment; Spatially explicit model; Spread rate

Indexed keywords

ANT; CLIMATE CHANGE; COMPARATIVE STUDY; CONSERVATION MANAGEMENT; DISPERSAL; ECOLOGICAL MODELING; GIS; HETEROGENEITY; INVASIVE SPECIES; OPTIMIZATION; PEST SPECIES; RESTORATION ECOLOGY; RISK ASSESSMENT; STOCHASTICITY;

ANIMAL; ANT; ARTICLE; BIOLOGICAL MODEL; ECOSYSTEM; FORECASTING; GEOGRAPHY; NEW ZEALAND; PHYSIOLOGY; POPULATION DENSITY; POPULATION DYNAMICS; POPULATION MIGRATION; STATISTICS;

ANIMAL MIGRATION; ANIMALS; ANTS; ECOSYSTEM; FORECASTING; GEOGRAPHY; MODELS, BIOLOGICAL; NEW ZEALAND; POPULATION DENSITY; POPULATION DYNAMICS; STOCHASTIC PROCESSES;

AUSTRALASIA; NEW ZEALAND;

LINEPITHEMA HUMILE;

EID: 68149091900     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/08-1777.1     Document Type: Article

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