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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Ecological niche and potential geographic distribution of the invasive fruit fly Bactrocera invadens (Diptera, Tephritidae)
Bulletin of Entomological Research, Volume 100, No. 1, Year 2010
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Description
Two correlative approaches to the challenge of ecological niche modeling (genetic algorithm, maximum entropy) were used to estimate the potential global distribution of the invasive fruit fly, Bactrocera invadens, based on associations between known occurrence records and a set of environmental predictor variables. The two models yielded similar estimates, largely corresponding to Equatorial climate classes with high levels of precipitation. The maximum entropy approach was somewhat more conservative in its evaluation of suitability, depending on thresholds for presence/absence that are selected, largely excluding areas with distinct dry seasons; the genetic algorithm models, in contrast, indicate that climate class as partly suitable. Predictive tests based on independent distributional data indicate that model predictions are quite robust. Field observations in Benin and Tanzania confirm relationships between seasonal occurrences of this species and humidity and temperature. © 2009 Cambridge University Press.
Authors & Co-Authors
de Meyer, Marc
Belgium, Tervuren
Royal Museum for Central Africa
Robertson, Mark P.
South Africa, Pretoria
University of Pretoria
Mansell, Mervyn W.
South Africa, Pretoria
University of Pretoria
United States, Riverdale
Usda Animal and Plant Health Inspection Service Aphis
Ekesi, Sunday
Kenya, Nairobi
International Centre of Insect Physiology and Ecology Nairobi
Tsuruta, K.
Japan, Tokyo
Ministry of Agriculture, Forestry and Fisheries
Mwaiko, W.
Tanzania, Dar es Salaam
Ministry of Agriculture and Food Security
Vayssières, Jean François
France, Paris
Cirad
Benin, Cotonou
International Institute of Tropical Agriculture Contonou
Peterson, Andrew Townsend
United States, Lawrence
University of Kansas
Statistics
Citations: 150
Authors: 8
Affiliations: 9
Identifiers
Doi:
10.1017/S0007485309006713
ISSN:
00074853
Research Areas
Genetics And Genomics
Study Locations
Benin
Tanzania