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Incorporating hydrology into climate suitability models changes projections of malaria transmission in Africa

Author

Listed:
  • M. W. Smith

    (University of Leeds)

  • T. Willis

    (University of Leeds)

  • L. Alfieri

    (Joint Research Centre)

  • W. H. M. James

    (University of Leeds)

  • M. A. Trigg

    (University of Leeds)

  • D. Yamazaki

    (The University of Tokyo)

  • A. J. Hardy

    (Aberystwyth University)

  • B. Bisselink

    (Joint Research Centre)

  • A. Roo

    (Joint Research Centre)

  • M. G. Macklin

    (University of Lincoln)

  • C. J. Thomas

    (University of Lincoln)

Abstract

Continental-scale models of malaria climate suitability typically couple well-established temperature-response models with basic estimates of vector habitat availability using rainfall as a proxy. Here we show that across continental Africa, the estimated geographic range of climatic suitability for malaria transmission is more sensitive to the precipitation threshold than the thermal response curve applied. To address this problem we use downscaled daily climate predictions from seven GCMs to run a continental-scale hydrological model for a process-based representation of mosquito breeding habitat availability. A more complex pattern of malaria suitability emerges as water is routed through drainage networks and river corridors serve as year-round transmission foci. The estimated hydro-climatically suitable area for stable malaria transmission is smaller than previous models suggest and shows only a very small increase in state-of-the-art future climate scenarios. However, bigger geographical shifts are observed than with most rainfall threshold models and the pattern of that shift is very different when using a hydrological model to estimate surface water availability for vector breeding.

Suggested Citation

  • M. W. Smith & T. Willis & L. Alfieri & W. H. M. James & M. A. Trigg & D. Yamazaki & A. J. Hardy & B. Bisselink & A. Roo & M. G. Macklin & C. J. Thomas, 2020. "Incorporating hydrology into climate suitability models changes projections of malaria transmission in Africa," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18239-5
    DOI: 10.1038/s41467-020-18239-5
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    Cited by:

    1. Colin J. Carlson & Rita Colwell & Mohammad Sharif Hossain & Mohammed Mofizur Rahman & Alan Robock & Sadie J. Ryan & Mohammad Shafiul Alam & Christopher H. Trisos, 2022. "Solar geoengineering could redistribute malaria risk in developing countries," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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