Current and future scenarios of suitability and expansion of cassava brown streak disease, Bemisia tabaci species complex, and cassava planting in Africa

Author:

Sikazwe Geofrey123,Yocgo Rosita Endah epse14,Landi Pietro25,Richardson David M.67,Hui Cang258

Affiliation:

1. African Institute for Mathematical Sciences, Kigali, Rwanda

2. Department of Mathematical Sciences, University of Stellenbosch, Stellenbosch, South Africa

3. Mkwawa University College of Education, Iringa, Tanzania

4. Institute for Plant Biotechnology, Stellenbosch University, Stellenbosch, South Africa

5. National Institute for Theoretical and Computational Sciences, Stellenbosch University, Stellenbosch, South Africa

6. Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic

7. Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa

8. Mathematical Bioscience Unit, African Institute for Mathematical Sciences, Cape Town, South Africa

Abstract

Cassava (Manihot esculenta) is among the most important staple crops globally, with an imperative role in supporting the Sustainable Development Goal of ‘Zero hunger’. In sub-Saharan Africa, it is cultivated mainly by millions of subsistence farmers who depend directly on it for their socio-economic welfare. However, its yield in some regions has been threatened by several diseases, especially the cassava brown streak disease (CBSD). Changes in climatic conditions enhance the risk of the disease spreading to other planting regions. Here, we characterise the current and future distribution of cassava, CBSD and whitefly Bemisia tabaci species complex in Africa, using an ensemble of four species distribution models (SDMs): boosted regression trees, maximum entropy, generalised additive model, and multivariate adaptive regression splines, together with 28 environmental covariates. We collected 1,422 and 1,169 occurrence records for cassava and Bemisia tabaci species complex from the Global Biodiversity Information Facility and 750 CBSD occurrence records from published literature and systematic surveys in East Africa. Our results identified isothermality as having the highest contribution to the current distribution of cassava, while elevation was the top predictor of the current distribution of Bemisia tabaci species complex. Cassava harvested area and precipitation of the driest month contributed the most to explain the current distribution of CBSD outbreaks. The geographic distributions of these target species are also expected to shift under climate projection scenarios for two mid-century periods (2041–2060 and 2061–2080). Our results indicate that major cassava producers, like Cameron, Ivory Coast, Ghana, and Nigeria, are at greater risk of invasion of CBSD. These results highlight the need for firmer agricultural management and climate-change mitigation actions in Africa to combat new outbreaks and to contain the spread of CBSD.

Publisher

PeerJ

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