Adapting pastoralist systems to climate change in the Sahelian region of Egypt is essential for sustainable agriculture and food security. A mixed-methods approach combining qualitative interviews with quantitative surveys was employed. Multivariate regression models were used to analyse the impact of climate on livestock productivity, accounting for uncertainty using robust standard errors. Significant relationships between rainfall variability and herd size changes were identified, indicating that pastoralists in Egypt are adapting by altering their herds' composition and numbers. The methodological framework successfully captured the complex interplay of climate change impacts on pastoral livelihoods. Future research should validate these findings with longitudinal data collection to enhance predictive accuracy for adaptation planning. climate change, pastoralism, multivariate regression, Sahel, Egypt The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.