A Resilience Framework for Agroforestry under Climate Variability and Markets

Thesis Abstract

Increasing climate variability and fluctuating market signals undermine the resilience of farm households dependent on agroforestry systems, risking productivity, biodiversity, and livelihoods. This study develops a resilience framework for agroforestry under climate variability and markets, aiming to advance theory and provide actionable tools for policy and practice. Specific objectives are (i) identify the key drivers of resilience in smallholder agroforestry systems; (ii) quantify the relative importance of biophysical, economic, institutional, and social capital components; (iii) develop a parsimonious resilience index and a conceptual model linking climate shocks, market dynamics, and livelihood outcomes; (iv) test the proposed framework across diverse agroforestry landscapes; and (v) derive evidence-based recommendations for enhancing adaptive capacity. The research adopts a mixed-methods design integrating quantitative modeling with qualitative inquiry. The population comprises smallholder agroforestry households across three distinct agroecological zones within a tropical region experiencing pronounced climate extremes and market volatility. A stratified random sample of 450 households is selected, with 150 households per zone, augmented by purposive sampling of 30 key informants (extension officers, traders, and NGO coordinators) to capture institutional and market dimensions. Primary data are collected through structured surveys, in-depth interviews, focus group discussions, and participatory risk mapping conducted over two field seasons. Instrumentation includes a standardized resilience survey instrument, climate risk perception scales, asset and income modules, and market access indicators, all pre-tested for reliability (Cronbach’s alpha > 0.7) and validity. Secondary data are drawn from meteorological records, commodity price series, and policy documents. Data analysis proceeds in three integrated streams. First, a confirmatory factor analysis and structural equation modeling (SEM) are employed to validate the resilience index and test hypothesized relationships among climate stressors, market factors, and livelihood outcomes. Second, machine learning techniques (random forest and gradient boosting) are used to identify the most influential drivers of resilience across zones. Third, thematic analysis is applied to qualitative data to elucidate institutional dynamics, governance mechanisms, and local adaptive strategies, triangulated with quantitative findings. The study tests a theoretical framework grounded in robustness theory, social-ecological resilience, and livelihood capital theory, incorporating named theories of adaptive capacity (Sen’s capability approach) and market-enabled resilience (institutional economics). Expected findings indicate that composite resilience is significantly shaped by a) diversified agroforestry practices (species richness and multi-strata design), b) asset diversification and access to credit, c) effective multi-level governance and market information systems, and d) proactive risk management through temporal hedging and cooperative arrangements. The integration of climate forecasts with price signals is anticipated to improve risk-adjusted income stability, while social capital and collective action are expected to amplify adaptive responses. The study contributes to knowledge by operationalizing a context-sensitive resilience framework suitable for policy benchmarking and scaling, providing a quantitative resilience index and a validated conceptual model that links climate variability and markets to livelihood outcomes in agroforestry systems. Policy and practice implications include prioritized investment in climate-smart planting designs, enhanced market information platforms, and strengthened community-based institutions to facilitate risk-sharing and credit access. The conclusion emphasizes that resilience in agroforestry is not a static trait but a dynamic process contingent on the alignment of biophysical design, financial mechanisms, and governance structures. Recommendations advocate for integrated extension services, participatory insurance schemes, and incentive-compatible policies that reward diversified agroforestry configurations and transparent market connectivity, with future research suggested to test the framework in other tropical regions and under rapid climatic and economic change.