A Resilience Framework for Smallholder Agroforestry Systems under Climate Variability

Thesis Abstract

Smallholder agroforestry systems are increasingly exposed to climate variability, threatening productivity, biodiversity, and livelihood resilience in rural landscapes. This study develops a resilience framework to diagnose, quantify, and enhance the adaptive capacity of smallholder agroforestry, integrating ecological and socio-economic dimensions to address climate-related shocks and long-term variability. The aim is to construct a model that traces pathways from agroforestry configurations to resilience outcomes through mediating factors such as soil health, biodiversity, microclimate regulation, income diversification, access to information, and governance practices. Specific objectives include (1) to identify key resilience attributes of smallholder agroforestry under climate variability; (2) to formulate and validate a composite resilience index grounded in ecological resilience theory and the Sustainable Livelihoods Framework; (3) to quantify relationships among agroforestry design (species diversity, spatial configuration), management practices, and resilience indicators using structural equation modelling; (4) to examine the role of institutional support, access to credit, and market access as moderators of resilience; and (5) to develop actionable policy and practice recommendations for scaling resilient agroforestry adoption. The study adopts a mixed-methods research design, combining quantitative survey data with qualitative insights. The population comprises smallholder farmers engaged in agroforestry across three representative agro-ecological zones in a tropical region with documented climate variability. A stratified random sample of 420 farm households is selected to ensure representation across farm sizes, species compositions, and governance arrangements. Data collection instruments include a structured questionnaire capturing farm inventory, species diversity, yield data, soil health indicators, income sources, and climate exposure; in-depth interviews with 40 key informants from extension services, farmer cooperatives, and local NGOs; and focus group discussions with 12 groups to contextualize governance and market dynamics. Validity and reliability are addressed through pretesting, Cronbach’s alpha for multi-item scales (targeting ? ? 0.70), and triangulation across data sources. Quantitative data are analyzed using confirmatory factor analysis to validate the resilience construct, followed by structural equation modelling to test hypothesized relationships among agroforestry configuration, management practices, socio-economic factors, and resilience outcomes. The composite resilience index is constructed using a weighted multi-criteria approach aligned with the Sustainable Livelihoods Framework. Qualitative data are analyzed thematically using a deductive–inductive coding approach, with triangulation to interpret convergences and divergences relative to the quantitative results. Theoretical grounding draws on ecological resilience theory, the Adaptive Capacity framework, and the Sustainable Livelihoods Framework, incorporating the concept of social-ecological systems to explain interactions between biophysical processes and household coping strategies. Expected findings indicate that greater species diversity, structural complexity, and density of shade-tue components within agroforestry systems enhance soil organic matter, microclimate stability, and pest regulation, thereby improving yield resilience under drought and erratic rainfall. It is anticipated that governance factors such as community-based resource management and access to climate information will significantly moderate resilience, reducing vulnerability by improving timely decision-making and risk-sharing. The study expects to demonstrate statistically significant pathways from agroforestry design and management practices to the resilience index, with socio-economic variables (income diversification, credit access) strengthening adaptive responses. Policy and practice implications include targeted support for species mixtures with climate-smart traits, extension services emphasizing risk communication and agroforestry management, credit products aligned with farm-level resilience investments, and scalable governance models that incentivize resilient agroforestry configurations. Contribution to knowledge encompasses (i) a validated resilience index for smallholder agroforestry under climate variability; (ii) an empirically testable model linking agroforestry design, management, and socio-economic factors to resilience; and (iii) context-specific recommendations for policymakers, development agencies, and farmer organizations to enhance adaptive capacity and long-term sustainability of agroforestry systems. The main conclusion is that resilience emerges from integrated design choices, informed governance, and accessible resources, rather than from isolated biophysical factors; recommendations emphasize holistic interventions that couple ecological enhancements with institutions and markets to sustain smallholder livelihoods under increasing climate uncertainty.