ATTENTION: The software behind KU ScholarWorks is being upgraded to a new version. Starting July 15th, users will not be able to log in to the system, add items, nor make any changes until the new version is in place at the end of July. Searching for articles and opening files will continue to work while the system is being updated. If you have any questions, please contact Marianne Reed at mreed@ku.edu .

Show simple item record

dc.contributor.authorLevine, Rebecca S.
dc.contributor.authorPeterson, A. Townsend
dc.contributor.authorBenedict, Mark Q.
dc.date.accessioned2015-02-09T16:36:56Z
dc.date.available2015-02-09T16:36:56Z
dc.date.issued2004-02-01
dc.identifier.citationLevine, Rebecca S.; Peterson, A. Townsend; Benedict, Mark Q. (2004). "Geographic and ecologic distributions of the Anopheles gambiae complex predicted using a genetic algorithm." http://www.ajtmh.org/content/70/2/105en_US
dc.identifier.issn0002-9637
dc.identifier.urihttp://hdl.handle.net/1808/16603
dc.descriptionThis is the publisher's version, also available electronically from http://www.ajtmh.org/content/70/2/105.en_US
dc.description.abstractThe distribution of the Anopheles gambiae complex of malaria vectors in Africa is uncertain due to under-sampling of vast regions. We use ecologic niche modeling to predict the potential distribution of three members of the complex (A. gambiae, A. arabiensis, and A. quadriannulatus) and demonstrate the statistical significance of the models. Predictions correspond well to previous estimates, but provide detail regarding spatial discontinuities in the distribution of A. gambiae s.s. that are consistent with population genetic studies. Our predictions also identify large areas of Africa where the presence of A. arabiensis is predicted, but few specimens have been obtained, suggesting under-sampling of the species. Finally, we project models developed from African distribution data for the late 1900s into the past and to South America to determine retrospectively whether the deadly 1929 introduction of A. gambiae sensu lato into Brazil was more likely that of A. gambiae sensu stricto or A. arabiensis.en_US
dc.publisherAmerican Journal of Tropical Medicine & Hygieneen_US
dc.relation.isversionofhttp://www.ajtmh.org/content/70/2/105en_US
dc.titleGeographic and ecologic distributions of the Anopheles gambiae complex predicted using a genetic algorithmen_US
dc.typeArticle
kusw.kuauthorPeterson, A. Townsend
kusw.kudepartmentEcology and Evolutionary Biologyen_US
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record