A Framework for Sustainable Adaptive Management in Livestock Production Systems

Thesis Abstract

Livestock production systems are critical to global food security and rural livelihoods but face increasing pressures from environmental change, resource constraints, and socio-economic challenges that threaten their sustainability. Traditional management approaches often lack the flexibility and resilience necessary to adapt to these dynamic conditions, underscoring the need for a comprehensive framework that promotes sustainable adaptive management (SAM). This study aims to develop a contextually grounded, operational framework that integrates principles of sustainability and adaptive management to enhance the resilience and productivity of livestock production systems. The specific objectives are to (1) evaluate the current management practices and their alignment with principles of sustainability and adaptability, (2) identify factors influencing adaptive capacity within livestock systems, (3) synthesize relevant theoretical insights and empirical evidence to inform framework development, and (4) design and validate a practical framework capable of guiding stakeholders toward sustainable adaptive management in diverse livestock contexts. The research adopts a mixed-methods approach, combining qualitative case studies with quantitative surveys to generate a comprehensive understanding of the factors at play. The qualitative component involves in-depth interviews and focus group discussions with 50 livestock farmers, extension agents, and policy makers across three ecologically distinct regions, capturing local perceptions and practices concerning management adaptations. The quantitative survey employs a stratified random sample of 300 livestock farm households, with structured questionnaires measuring variables such as resource availability, management flexibility, socio-economic resilience, and environmental awareness. Data collection instruments include semi-structured interview guides, standardized questionnaires, and observation checklists. Validity and reliability are ensured through pre-testing, expert validation, and Cronbach’s alpha analysis, yielding coefficients above 0.8. Data analysis employs thematic analysis for qualitative data, using NVivo software, and statistical techniques such as multiple regression analysis and structural equation modeling (SEM) for quantitative data, conducted with SPSS and AMOS software. The framework development process synthesizes empirical findings and theoretical foundations, notably integrating the Resilience Theory and the Sustainable Livelihoods Framework to conceptualize the interconnections among social, economic, and ecological dimensions of livestock management. The anticipated results include a set of key determinants of adaptive capacity, practical indicators for assessing sustainability levels, and a stepwise process model outlining how stakeholders can implement adaptive strategies aligned with sustainability principles. Validation through expert panel review and pilot testing aims to ensure practical applicability and contextual relevance. Expected findings are that adaptive management practices are positively associated with perceived resilience and sustainability, moderated by factors such as resource access, knowledge levels, and institutional support. The study posits that the proposed framework facilitates a systematic, participatory approach to identifying vulnerabilities, leveraging local knowledge, and implementing adaptive strategies that balance productivity with environmental stewardship. This contribution advances knowledge by providing an integrated, operational model tailored to livestock systems with diverse ecological and socio-economic contexts, filling existing gaps where frameworks lack practical, context-specific guidance. The main conclusion emphasizes that sustainable adaptive management is essential for the resilience and future viability of livestock production, especially amid climate variability and resource constraints. Recommendations include fostering stakeholder participation, strengthening institutional capacity, and embedding continuous learning processes within management routines. The study also suggests avenues for future research, such as longitudinal validation of the framework and adaptation to different livestock system types. Overall, this research provides a scientifically grounded, practical tool for policymakers, extension agencies, and farmers to enhance sustainability outcomes in livestock management, ensuring food security and environmental conservation for future generations.