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dc.contributor.authorAmbelu, Argawen_US
dc.contributor.authorMekonen, Sebleworken_US
dc.contributor.authorKoch, Magalyen_US
dc.contributor.authorAddis, Taffereen_US
dc.contributor.authorBoets, Pieteren_US
dc.contributor.authorEveraert, Gerten_US
dc.contributor.authorGoethals, Peteren_US
dc.coverage.spatialUnited Statesen_US
dc.date.accessioned2017-05-17T19:48:04Z
dc.date.available2017-05-17T19:48:04Z
dc.date.issued2014
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/25372843
dc.identifier.citationAmbelu A, Mekonen S, Koch M, Addis T, Boets P, et al. (2014) The Application of Predictive Modelling for Determining Bio-Environmental Factors Affecting the Distribution of Blackflies (Diptera: Simuliidae) in the Gilgel Gibe Watershed in Southwest Ethiopia. PLOS ONE 9(11): e112221. https://doi.org/10.1371/journal.pone.0112221
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/2144/22156
dc.description.abstractBlackflies are important macroinvertebrate groups from a public health as well as ecological point of view. Determining the biological and environmental factors favouring or inhibiting the existence of blackflies could facilitate biomonitoring of rivers as well as control of disease vectors. The combined use of different predictive modelling techniques is known to improve identification of presence/absence and abundance of taxa in a given habitat. This approach enables better identification of the suitable habitat conditions or environmental constraints of a given taxon. Simuliidae larvae are important biological indicators as they are abundant in tropical aquatic ecosystems. Some of the blackfly groups are also important disease vectors in poor tropical countries. Our investigations aim to establish a combination of models able to identify the environmental factors and macroinvertebrate organisms that are favourable or inhibiting blackfly larvae existence in aquatic ecosystems. The models developed using macroinvertebrate predictors showed better performance than those based on environmental predictors. The identified environmental and macroinvertebrate parameters can be used to determine the distribution of blackflies, which in turn can help control river blindness in endemic tropical places. Through a combination of modelling techniques, a reliable method has been developed that explains environmental and biological relationships with the target organism, and, thus, can serve as a decision support tool for ecological management strategies.en_US
dc.format.extentp. e112221en_US
dc.languageeng
dc.relation.ispartofPLoS One
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnimalsen_US
dc.subjectEcosystemen_US
dc.subjectEnvironmental monitoringen_US
dc.subjectEthiopiaen_US
dc.subjectInsect vectorsen_US
dc.subjectModels, biologicalen_US
dc.subjectSimuliidaeen_US
dc.subjectAnimalsen_US
dc.subjectEcosystemen_US
dc.subjectScience & technologyen_US
dc.subjectGeneralized additive modelsen_US
dc.subjectAzolla-filiculoides Lamen_US
dc.subjectMediterranean Seaen_US
dc.subjectNeural networksen_US
dc.subjectAnzali wetlanden_US
dc.subjectHabitaten_US
dc.subjectGeneral science & technologyen_US
dc.titleThe application of predictive modelling for determining bio-environmental factors affecting the distribution of blackflies (Diptera: Simuliidae) in the Gilgel Gibe watershed in Southwest Ethiopiaen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0112221
pubs.elements-sourcepubmeden_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.publication-statusPublished onlineen_US
dc.identifier.orcid0000-0002-6186-1619 (Koch, Magaly)


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International