Indigenous early warning indicators for improving natural hazard predictions

This study emphasises the value of Indigenous knowledge as a vital resource for enhancing disaster and climate resilience, as well as improving early warning systems.

Authors

Institutions

Publication Details

Journal
Jàmbá Journal of Disaster Risk Studies
Published
2025-04-04
DOI
https://doi.org/10.4102/jamba.v17i1.1754
Citations
3
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
7.44

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article

Indigenous early warning indicators for improving natural hazard predictions

Livhuwani David Nemakonde, Masego Mirriam Motsumi
3 citations
Jàmbá Journal of Disaster Risk Studies
Computational Physics and Python Applications
7.44
article

Indigenous early warning indicators for improving natural hazard predictions

Livhuwani David Nemakonde, Masego Mirriam Motsumi
article en
3 citations

Abstract

This study emphasises the value of Indigenous knowledge as a vital resource for enhancing disaster and climate resilience, as well as improving early warning systems.

Jàmbá Journal of Disaster Risk StudiesVol. 17(1)
North-West University (ZA)
North-West University
Climate action
Openalex Percentile: Top 4%
Computational Physics and Python Applications
7.44
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Indigenous early warning indicators for improving natural hazard predictions — Livhuwani David Nemakonde, Masego Mirriam Motsumi · Jàmbá Journal of Disaster Risk Studies (2025) | TGRS Research Map | TGRS