Permanent record · RIR–2051
Effective Communication Strategies for Promoting Enteric Methane Reduction in African Livestock Farming Systems
This research explores how to effectively communicate methane reduction strategies to livestock farmers in Africa. It aims to identify messaging frameworks that encourage the adoption of sustainable practices in diverse agricultural contexts.
Which communication channels and messaging strategies most effectively influence the adoption of enteric methane reduction practices among smallholder livestock farmers in Africa?
Knowledge gap
What remains worth asking
The source suggests that while technical solutions exist, it remains useful to test how cultural and linguistic framing impacts the uptake of methane reduction technologies in specific regional contexts.
Potential contribution
Why it may matter
Improving communication strategies is essential for scaling climate-smart livestock practices across the African continent.
Academic placement
OECD fields and topic tags
Scope: Smallholder livestock farming communities in Sub-Saharan Africa. · Method signals: Survey research, Focus group interviews, Experimental communication trials
Possible study pathways
One question, different levels
Agricultural extension and rural development
Sustainable agricultural management and policy
Qualification signal
82/100
- Focus on localized cultural contexts.
- Consider the role of community leaders in information dissemination.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
APA 7 source
Antwi, W., Iddrisu, F. T., Ansah, P. O., Muntari, M., & Issaka, B. (2025). Communication strategies for enteric methane reduction in African livestock farming systems. Discover Sustainability, 6(1), Article 1249. https://doi.org/10.1007/s43621-025-02154-0
Paper abstract and discussion context; AI-inferred direction
Open source ↗