Validating a cassava production spatial disaggregation model in sub-Saharan Africa.

ABSTRACT: Cassava is a staple in the diet of millions of people in sub-Saharan Africa, as it can grow in poor soils with limited inputs and can withstand a wide range of environmental conditions, including drought. Previous studies have shown that the distribution of rural populations is an important predictor of cassava density in sub-Saharan Africa's landscape. Our aim is to explore relationships between the distribution of cassava from the cassava production disaggregation models (CassavaMap and MapSPAM) and rural population density, looking at potential differences between countries and regions. We analysed various properties of cassava cultivations collected from surveys at 69 locations in Côte d'Ivoire and 87 locations in Uganda conducted between February and March 2018. The relationships betw

SUBMITTER: Hassall KL 

PROVIDER: S-EPMC11537372 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature