2026/01/07 by Oluwafemi E. Adeyeri, Kazeem A. Ishola, Sodiq Abayomi AJADİ +7 · 1 voice
Environmental Science · Agricultural and Biological Sciences · #Climate variability and models #Climate Change and Health Impacts #Climate change impacts on agriculture
paper · pdf · doi:10.1038/s43247-025-03110-6
openalex publication_date 2026/01/07 · openalex created_date 2026/01/08 · openalex updated_date 2026/07/23
Africa faces intensifying heatwave hazards with far-reaching impacts on health, agriculture, and economic stability. Here, we assess changes in heatwave attributes, including duration, frequency, timing, and intensity, across nine African regions using 10 global numerical climate model simulations, with a multivariate bias-correction method applied to the model output. Under a high-end emissions scenario (SSP585), an upper limit projection, Western South Africa is projected to experience more than a 12-fold increase in heatwave duration and frequency. We apply Shapley Additive Explanations, an explainable artificial intelligence technique, to quantify how environmental drivers shape these changes, revealing strong regional contrasts arising from interactions among temperature, humidity, and land-surface modification. Temperature and humidity together account for more than 35% of projected increases in several regions, amplified by cropland and pasture expansion. A moderate mitigation scenario (SSP370) substantially reduces heatwave occurrence in West Africa, offering actionable guidance for land management and early-warning systems. Nonlinear climate and land-use interactions drive historical and future heatwave intensification across Africa, especially in Western South Africa, based on multivariate bias-correction and explainable AI applied to CMIP6 future projections.