Qualifier Seminar by Ms Adrie Mukashema, Dept. of Natural Resources
Spatial Information to support high‐Value Coffee Farming Systems in the Central Albertine Rift
Coffee has played a major role in the export sector and is the main source of revenue for the rural population in the Albertine Rift region. It provides a vital source of income to thousands of farmers and their families. Despite the region offering natural environment to the productivity of coffee, the planning of the sector is challenged by lack of information about current distribution of coffee growing areas, factors underlying the productivity and spatial-based tool to monitor the improved management of coffee farming systems in the context of Albertine rift region.
Indeed, where the current coffee is grown in the central Albertine rift hillsides is not accurately known; what farming system and farm management produces better yield and quality is poorly understood; which environmental conditions yield the current coffee productivity; and what system or tool used to monitor the distribution of coffee farming systems are the main gaps that need deep studies. This knowledge and tool are needed for improving coffee farming systems in order to grow the specialty coffee industry in Albertine rift region.
The study therefore, intends to address the spatial distribution of coffee growing areas; characterize the current coffee-based farming systems and land quality management; and determine the distribution of environmental factors responsible of high-value coffee productivity. The study also aims at developing a spatial-based tool to enable the monitoring of the high-value coffee farming systems for the productivity and quality improvement.
The study will employ integrated, qualitative and quantitative models in order to address the above described issues. The integrated model will enable mapping distribution of smallholder coffee farms; monitoring models will be used to assess the performance of current farming systems in different growing zones and will quantify nutrient uptake for soil fertility management in coffee farms; the predictive model will determine the spatial distribution of suitable environment for coffee production expansion; while the multi-criteria decision model will synthesise the results of the three above models for spatial planning and monitoring of coffee farming systems.
The following research outputs are expected at the end of the study: 1) Spatial distribution of coffee growing areas in central Albertine rift; 2) Characteristics of coffee-based farming systems; 3) Current soil fertility and nutrients need for productivity of the coffee farm; 4) Distribution of the environment suitable for the high productivity of coffee; and 5) Spatial decision-support tool for monitoring the high-value coffee farming systems in the central Albertine rift region.
|Event starts:||Wednesday 13 October 2010 at 15:30|
|Event ends:||Wednesday 13 October 2010 at 16:30|
|Venue:||ITC, room 3-004|
|Organized by:||Academic Affairs|
|City where event takes place:||Enschede|