Modelling and geospatial mapping of whitefly Bemisia tabaci population dynamics in cassava-growing areas of Sub-Saharan Africa in response to climate change
Year: 2026
Type: article
Abstract: • We developed a detailed mechanistic model linking crop physiology and pest dynamics that allowed a detailed analysis of possible changes in temperature on Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) distribution and risk potential in Cassava cropping areas. • Risk potential will increase where the pest already prevails with an reduction in warmer African regions. • Limitations in predictions/mapping experienced with climate data interpolation or resolution can be overcome by point-by-point simulations pest and crop physiology. • The methodology is proposed as a very helpful tool for adaptation planning in integrated pest management. The sap-feeding cassava whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a serious pest in tropical agro-ecosystems. Its capacity to spread cassava mosaic virus and cassava brown streak virus, which negatively impact agricultural production, poses a global biosecurity threat. Environmental niche modelling has revealed the potential for additional range expansions of the whitefly complex, particularly into Australia, America, and Europe. To enhance biosecurity readiness for vulnerable African farmers, research is needed on the likely seasonal life-history dynamics of this pest in its invasive range, to inform monitoring programs. Here we develop a mechanistic model incorporating eco-physiological data on the growth life stages, fertility and survival of cassava-African-specific whitefly, and crop host phenology, expressed over different temperature ranges. The model was tested against published field observational data during two cropping seasons in Tanzania. The annual numbers of whitefly generations were then mapped using gridded meteorological data throughout sub-Saharan Africa, highlighting regional vulnerabilities. By leveraging these findings to inform life-history projections across its invasive range, policymakers can make informed, science-based biosecurity decisions and focus preparedness efforts.
Institution: University of Cambridge
Language: English
Topic: Hemiptera Insect Studies
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $3,590
Awards: University of Cambridge - To disseminate crop epidemiological knowledge and work products as embodied in software, data, models, parameterization and results as FAIR data pr..., World Health Organization Regional Office for Africa - to support the strengthening of WHO’s organizational delivery model towards improving health outcomes across programs of work
OpenAlex ID: W7128824530