Potential Geographical Distribution of the Mediterranean Fruit Fly, Ceratitis capitata (Diptera: Tephritidae), with Emphasis on Argentina and Australia
By M. T. Vera, R. Rodríguez, D. Segura, J. Cladera, R. Sutherst. 2002
176 citations recorded by the source corpus.
Abstract The CLIMEX model was used to infer the climatic requirements of the Mediterranean fruit fly, Ceratitis capitata (Wiedemann), from the fruit fly’s observed geographical distribution in the Mediterranean region. The model indicated that the potential distribution was limited by cold to the north in Europe and by dryness in northern Africa and in the south of Spain and Portugal. The model was then used to estimate the potential geographical distribution of the species in Argentina and Australia. The results agreed with the observed distribution in Argentina and much of the historical distribution in Australia, but they did not agree with the present distribution in eastern Australia. In the latter region, another species of fruit fly, Bactrocera (Dacus) tryoni (Froggatt) has been credited with displacing C. capitata. Seasonal and year-to-year variation in climatic suitability was explored at three selected locations in Argentina. The results indicated that some detrimental effects of summer temperatures, or of extremes of precipitation, occurred in particular areas. Some of these limiting factors, especially dry stress, were prolonged enough to restrict the geographical distribution of medfly. However, when irrigation was included in the simulations, the detrimental effect of dryness was removed. Finally, a global risk map for medfly was produced, which highlights the areas at risk from this major quarantine pest.
Subfields: Ecology, Insect Science
View Paper: https://www.semanticscholar.org/paper/a54b508acd7fd1370d2e9a47b6c3942e4b59b21f
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In Ecology
- A. Bourne
- F. Koch
- R. Sutherst
- William D. Smith
- Runzhi Zhang
- Yanping Wang
- G. Watson
- Mark P. Robertson
In Insect Science
- G. Watson
- Runzhi Zhang
- Yanping Wang
- A. Bourne
- G. Maywald
- Wang‐Hee Lee
- S. Bacher
- A. Townsend Peterson
Citations in the corpus
- Climate Change and Range Shifts in Two Insect Defoliators: Gypsy Moth and Nun Moth - a Model Study (2007, background): “More detailed description of EI values can be found e.g. in Vera et al. (2002) and Hoddle (2004).”
- Ecological niches and potential geographical distributions of Mediterranean fruit fly (Ceratitis capitata) and Natal fruit fly (Ceratitis rosa) (2007, methodology): “parameters used in the model were estimated using the geographical distribution in the Mediterranean region and using specific observations on overwintering survival (Vera et al., 2002).”
- A Climate Model of the Red Imported Fire Ant, Solenopsis invicta Buren (Hymenoptera: Formicidae): Implications for Invasion of New Regions, Particularly Oceania (2005, background): “In addition, a lack of internal consistency during parameter Þtting has helped to detect nonclimatic factors limiting speciesÕ distributions (Sutherst and Maywald 1985, Vera et al. 2002).”
- Prediction of species geographical ranges (2003, background): “Exclusion of climate as a limiting factor is just as useful a measure of success of CLIMEX modelling as is confirmation of that role (Vera et al. 2002).”
- Model-based prediction of potential distribution of the invasive insect pest, spotted lanternfly Lycorma delicatula (Hemiptera: Fulgoridae), by using CLIMEX (2017, background): “…indicates that the of potential distribution of the invasive insect pest, spotted lanternfly nal of Asia-Pacific Biodiversity (2017), http://dx.doi.org/10.1016/ species barely survives in the area (Sutherst and Maywald 1985; Sutherst et al 1995, 1999, 2000, 2007; Vera et al 2002; Park et al 2014).”
- The potential distribution of an invasive mealybug Phenacoccus solenopsis and its threat to cotton in Asia (2010, methodology): “Although biological data from the laboratory can be used to parameterize the CLIMEX model, it is considered preferable to use geographical distribution because laboratory data do not reflect the more complex outdoor environment (Vera et al., 2002; Kriticos et al., 2003a, b; Sutherst, 2003; Ulrichs &”
- Temperature-Driven Models for Insect Development and Vital Thermal Requirements (2012, unknown): “, temperature) which may further restrict geographic distribution [8, 37, 41, 89].”
- Quarantine arthropod invasions in Europe: the role of climate, hosts and propagule pressure (2014, background): “…glabripennis (Macleod et al., 2002) (Cerambycidae; Coleoptera), Bactrocera dorsalis Hendel (Stephens et al., 2007), Ceratitis capitata Wiedemann (Vera et al., 2002) (Tephritidae, Diptera), Halyomorpha halys St al (Niva & Takeda, 2003) (Pentatomidae; Hemiptera) Diabrotica virgifera (Baker et…”
- A review of relationships between interspecific competition and invasions in fruit flies (Diptera: Tephritidae) (2004, background): “TheMediterranean fruit fly, Ceratitis capitata (Wiedemann), was introduced from Europe into Australia in 1897 or thereabouts (Hooper & Drew, 1989; Vera et al., 2002).”
- The potential adventive geographic range of glassy-winged sharpshooter, Homalodisca coagulata and the grape pathogen Xylella fastidiosa: implications for California and other grape growing regions of the world (2004, background): “, 2002), determining the potential geographic distribution of economically important tephritid flies (Vera et al., 2002), and elucidating climatic factors limiting the distribution of pestiferous soil mites (Robinson and Hoffmann, 2002).”
- Spatio-Temporal Analysis of Xyleborus glabratus (Coleoptera: Circulionidae: Scolytinae) Invasion in Eastern U.S. Forests (2008, methodology): “…been developed to generate niche models using continental- or global-scale climatic and environmental data (McKenney et al. 2003, Peterson 2003); the CLIMEX model, for instance, was designed for application to invasive pest species, including insects (Vera et al. 2002, Sutherst and Maywald 2005).”
- Including species interactions in risk assessments for global change (2007, background): “Exclusion may be rapid (Sutherst, 1987a; Huxel, 1999) or take decades to achieve in the field (Vera et al., 2002).”