Perceived climate risks and adaptation drivers in diverse coffee landscapes of Uganda. (1st April 2019)

• Record Type: Journal Article
• Authors: Mulinde, Catherine; Majaliwa, J.G.M.; Twinomuhangi, Revocatus; Mfitumukiza, David; Komutunga, Everline; Ampaire, Edidah; Asiimwe, Judith; Van Asten, Piet; Jassogne, Laurence
• Is Part Of: Netherlands journal of agricultural science. Volume 88(2019)
• Page Start: 31
• Page End: 44
• Publication Date: 2019-04-01
• Subjects: Farming systems -- Vulnerability -- Sub-Saharan Africa -- Adaptive capacity -- Coffee -- Climate risks; Agriculture -- Periodicals; Agriculture -- Research -- Periodicals; 630
• DOI: 10.1016/j.njas.2018.12.002
• Languages: English
• ISSNs: 1573-5214

Abstract

Highlights: Prolonged drought and seasonal shifts led to perceived crop loss and food shortage. Specific adaptation practices in Robusta systems: herbicide use and livestock. Structural technologies were common in Arabica systems for soil/water retention. Awareness, policy engagements, land area and access to markets determined adoption. Adaptation packages should address landscape and farm-household system diversity. Abstract: Whereas adaptation to climate variability takes center stage in the agricultural development discourse, implementation is poorly guided through adoption of 'one-size-fits-all' adaptation approaches in coffee landscapes. This study empirically provides evidence of diversity of rural coffee farm-households and climate vulnerabilities in Uganda. We specifically characterized farm-household systems in the coffee-based farming systems; identified perceived climate risks; identified generalized landscape-level and specific farm-household system-level adaptation practices; and determined socio-economic drivers that impacted uptake of adaptation practices. 688 farm-households were surveyed and asked what they perceived as major climate risks, and how they adapted to experienced shocks/stresses in Eastern (Arabica) and Central (Robusta) Uganda. Principal Component and Multivariate Cluster Analyses were adopted for farm-household systems identification, and Semi-Nonparametric model for uptake of adaptation practices. Distinct farm-household systems were identified in Central (coffee-maize-beans; coffee-livestock-off-farm) and Eastern Uganda (coffee-banana-maize; coffee-banana; coffee-off-farm). They differed by land allocations to crops, livestock rearing, rainfall/altitude gradients, off-farm activities and crop income. Farm-households experienced food shortages and crop losses resulting from prolonged drought and erratic shifts in rainfall distribution. The major generalized adaptation practice was inorganic fertilizer use while the specific included herbicide use and increase in livestock numbers in Central Uganda; and pesticides use, structural technologies and off-farm activities in Eastern. Adaptation drivers include household-head's awareness of climate variability and involvement in policy-formulation process (both regions); farm-household's total land area (Eastern Uganda); and access to input/output markets (Central Uganda). We conclude that policy makers should package adaptation practices per farm-household system to enhance effective adaptation to climate risks.