Adapting Agroforestry for Climate Resilience: A Community Farm Case Study

Thesis Abstract

This study investigates how agroforestry interventions can enhance climate resilience on a smallholder community farm in the Sahelian belt, addressing the vulnerability of diversified cropping systems to erratic rainfall, rising temperatures, and soil degradation. The aim is to evaluate the effectiveness of integrating shade timber, nitrogen-fixing multipurpose shrubs, and alley-cropping with annual crops to sustain yield, improve soil health, and strengthen household adaptive capacity. Specific objectives are (1) to quantify changes in crop yields, soil organic matter, and moisture retention under agroforestry configurations; (2) to assess changes in microclimate variables (soil temperature, humidity, and evapotranspiration) associated with tree-crop interfaces; (3) to identify household-level adaptations, perceptions, and decision-making processes regarding agroforestry adoption; (4) to test the influence of agroforestry on income diversification and food security; and (5) to develop a context-specific framework for scaling resilient agroforestry practices. The methodology adopts a mixed-methods, quasi-experimental design over three consecutive growing seasons. The study population comprises smallholder farmers within the Jatropha River Community, with a primary sample of 120 farming households distributed across three study zones agroforestry-dominated plots, conventional monoculture plots, and control plots with no tree integration. A purposive sampling approach ensures representation of smallholders with varying farm sizes, livelihoods, and gender roles. Quantitative data will be collected through crop yield records, soil samples (bulk density, organic carbon, pH, and microbial biomass), and sensor-based microclimate measurements (soil temperature and volumetric soil moisture). Instruments include standardized yield worksheets, soil testing protocols (ASTM or equivalent), and real-time data loggers. Qualitative data will be gathered via semi-structured interviews (n=40) with household heads and extension workers, focus group discussions (six groups), and participatory observation, analyzed through thematic coding. Data analysis will employ regression analysis and ANOVA to test differences in yields, soil health, and microclimate across treatments; structural equation modeling (SEM) will examine causal pathways among agroforestry practices, productivity, and household resilience. Thematic analysis will interpret perceptions, adoption drivers, and social networks, supported by triangulation with farm records and sensor data. Validity will be enhanced through triangulation, pilot testing of instruments, and researcher reflexivity; reliability will be ensured via inter-coder agreement (Cohen’s kappa) for qualitative transcripts and calibration of soil and climate instruments. The expected findings indicate that agroforestry plots will show statistically significant improvements in maize and legume yields by 12–25% relative to monoculture plots, along with increases in soil organic matter by 0.8–1.5 percentage points and higher soil moisture retention during dry spells. Microclimate measurements are anticipated to reveal moderated diurnal temperature fluctuations and reduced evapotranspiration rates in agroforestry interfaces. Farmers are expected to report enhanced adaptive capacity through diversified income streams (e.g., fruit and fuelwood products), reduced risk exposure via staggered harvests, and improved soil fertility management, with adoption influenced by access to extension services, land tenure security, and perceived climate risk. The study anticipates identifying a mediating role for farm-level decision-making and social networks in translating agroforestry benefits into resilience outcomes, with the SEM indicating direct and indirect effects of agroforestry on yield stability and household food security. The study contributes to knowledge by generating empirical, context-specific evidence on climate-resilient agroforestry configurations for smallholder farming systems in dryland regions, advancing understanding of the biophysical and socio-economic mechanisms underpinning resilience, and offering a replicable evaluation framework combining agronomic, microclimate, and livelihood indicators. Policy relevance is highlighted through recommendations for integrating agroforestry into national adaptation plans, extension curricula, and credit mechanisms, emphasizing scalable, low-cost interventions. The main conclusion is that well-designed agroforestry systems, when tailored to local ecological and socio-economic conditions, can substantially enhance climate resilience by sustaining yields, improving soil health, and broadening livelihood options. Recommendations include promoting participatory tree-crop design, strengthening tenure and access to inputs and markets, investing in farmer-led monitoring, and prioritizing capacity-building initiatives that couple agroforestry with climate information services to support long-term adoption and scalability.