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dc.contributor.authorChikowore, Gerald
dc.date.accessioned2020-03-04T06:56:01Z
dc.date.available2020-03-04T06:56:01Z
dc.date.issued2016
dc.identifier.citationChikowore, G. (2016). Modelling spatial distribution of tsetse (Diptera: Glossinidae) in Masoka area, an unexplored part of Mbire District, Zimbabwe. (Unpublished thesis). University of Zimbabwe.en_US
dc.identifier.urihttp://hdl.handle.net/10646/3876
dc.description.abstractA study was conducted from March 2015 to December 2015 in order to model the distribution of two savannah species of tsetse (Glossina sensu stricto), Glossina morsitans morsitans and G. pallidipes in the Masoka area of the Mid-Zambezi valley in Zimbabwe. Two approaches were used. The first approach sought to model the probability of presence of both species in areas which were sampled but recorded zero tsetse catches using trap efficiency, sampling effort and suitable habitat cover. A probability threshold of 0.05 was used to distinguish areas which could be potentially infested from those that had low chances of tsetse occurrence. The resultant probability model pointed to an area of 104 km2 in size where G. m. morsitans could possibly be present (P > 0.05) whilst all areas which did not record G. pallidipes had a low probability of presence for the species (P < 0.05). This study showed that there was a high probability of tsetse presence in areas where the habitat was less degraded and low probability in settled areas where suitable tsetse habitat has been disturbed due to agricultural activities. The probability model therefore has the potential to optimize vector control strategies by streamlining areas of intervention. The second model was a predictive one built using tsetse presence-only data and climatic and environmental covariates. The model had an Area Under the Curve (AUC) of 0.80 for G. m. morsitans and 0.94 for G. pallidipes, indicating that the ability of the model to predict suitable tsetse habitat in the Masoka area was better than random (AUC = 0.5). Glossina morsitans morsitans occurrence was positively correlated to Normalised Difference Vegetation Index (NDVI), riverine forest and mopane woodlands whilst crop lands and temperature indices exhibited a strong negative correlation with its occurrence. Glossina pallidipes, on the other hand, had extremely specialised habitat requirements and was positively correlated to riverine forest. The species also had a positive correlation with NDVI but a negative correlation with mopane woodland.en_US
dc.description.sponsorshipThis work was conducted within the framework of the Research Platform “Production and Conservation in Partnership” (www.rp-pcp.org). The European Union and African Carribbean Pacific Group of states funded this research through the GeosAf project and I would like to acknowledge their contribution which made it possible to conduct all the fieldwork. The GeosAf project, implemented by CIRAD also imparted geomatic techniques which were essential in the spatial analysis of data in this project. Satellite images used in this research were provided by SPOT ISIS-CNES.en_US
dc.language.isoen_ZWen_US
dc.subjectGlossina sensu strictoen_US
dc.subjectGlossina morsitans morsitansen_US
dc.subjecttsetse speciesen_US
dc.subjectNormalised Difference Vegetation Indexen_US
dc.subjectGlossina pallidipesen_US
dc.subjectmopane woodlanden_US
dc.titleModelling spatial distribution of tsetse (Diptera: Glossinidae) in Masoka area, an unexplored part of Mbire District, Zimbabween_US
thesis.degree.advisorChinwada, Peter
thesis.degree.advisorZimba, Moses
thesis.degree.countryZimbabween_US
thesis.degree.disciplineBiological Sciencesen_US
thesis.degree.facultyFaculty of Scienceen_US
thesis.degree.grantorUniversity of Zimbabween_US
thesis.degree.grantoremailspecialcol@uzlib.uz.ac.zw
thesis.degree.levelMScen_US
thesis.degree.nameMaster of Science in Tropical Entomologyen_US
thesis.degree.thesistypeThesisen_US
dc.date.defense2016


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