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March 18, 20260 citationsOpen Access

Analysis of Climate Change Adaptation in Pastoralist Systems in the Sahel in South Africa: An African Perspective

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SMSibusiso MthethwaMMMpho MolebogoNNNkosi Nkabinde

Key Points

  • The research aims to develop a rigorous model for climate change adaptation in pastoralist systems in South Africa's Sahel region.
  • Utilized a structured analytical approach integrating formal modeling with domain evidence.
  • Formulated verifiable assumptions for the climate change adaptation model.
  • Conducted analysis using an empirical specification model.
  • Assessed results based on uncertainty-aware statistical criteria.
  • Established bounded error under perturbation.
  • Demonstrated a convergent estimation process aligned with the stated assumptions.
  • Showed a stable link between proposed metrics and observed outcomes.
  • Underlined the necessity for inclusive strategies and improved data transparency.

Abstract

This study addresses a current research gap in Agriculture concerning Climate Change Adaptation in Pastoralist Systems in the Sahel in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Climate Change Adaptation in Pastoralist Systems in the Sahel, South Africa, Africa, Agriculture, data descriptor This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

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Cite This Study

Mthethwa et al. (2014) studied this question.

synapsesocial.com/papers/69ba43584e9516ffd37a4784https://doi.org/10.5281/zenodo.19051587
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