Predicting potential distribution of the coconut whitefly in Mozambique based on ecological niche modeling tool
Abstract
201 words
The coconut (Cocos nucifera) whiteûy (Aleurotrachelus atratus), native to Central America
has been recorded in various countries in Africa. In Mozambique, the coconut whitefly was
reported for the first time in Maputo in 2010. However, there has been no information
regarding its status and distribution in Mozambique. Therefore, we conducted the present
study to predict its potential distribution within the country. A field survey was conducted in
Inhambane province for determination of species prevalence and level of infestation. Potential
distribution was estimated by ecological niche modelling Tool using Maximum Entropy
(Maxent) to identify areas that have similar environmental conditions (bioclimatic variables)
to the areas of confirmed occurrence. The coconut whitefly, A. atratus, was the only species
identified infesting coconut tress in the area of study. The species occurs at high levels of
infestation (98.8% of plant infestation and 72.8 % of severity) and at population densities of
205 pupae/leaflet. The ecological niche model predicted higher suitability in the coastal area
of Mozambique and some potentially suitable areas around Manica province with the rest of
the country being not climatically suitable. In light of this study, surveys should be conducted
to verify the predicted distribution, pest status and implementation of management strategies.
Subjects
4 categoriesRelated papers
More in Working Document Series →- Prevalence and faecal egg counts of gastrointestinal parasites of Merino sheep in Lesotho
- Occurrence of fungal and bacterial diseases of common bean (Phaseolus vulgaris) in western Kenya
- Characterization of Pseudocercospora griseola, identification of local sources of resistance and effectiveness of gene pyramiding in controlling angular leaf spot in common bean
- Influence of soil fertility management on striga reproduction and grain yield of sorghum in semiarid areas of Tanzania