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Climate change and cocoyam (Colocasia esculenta (L.) Schott) production: assessing impacts and potential adaptation strategies in Zimbabwe

Author

Listed:
  • Abel Chemura

    (Potsdam Institute of Climate Impact Research, a Member of the Leibniz Association)

  • Dumisani Kutywayo

    (Department of Research & Specialist Services Head Office)

  • Danisile Hikwa

    (Department of Research & Specialist Services Head Office)

  • Christoph Gornott

    (Potsdam Institute of Climate Impact Research, a Member of the Leibniz Association
    University of Kassel)

Abstract

Tropical root and tuber crops such as cocoyam (Colocasia esculenta (L.)) are important for food security and livelihoods and yet neglected in climate change impact studies and large-scale crop improvement programs. The aim of this study was to apply the maximum entropy modelling approach to assess production potential for the orphan crop cocoyam under current and projected climatic conditions by 2050 and 2070 in Zimbabwe. A robust model fit was achieved (AUC > 0.9) with variable importance showing that precipitation-related factors were most important in determining the suitability of cocoyam. About 4.3% of the country is suitable for cocoyam production in Zimbabwe under current climatic conditions with the most suitable areas in eastern districts of Chipinge, Chimanimani, Mutare, Mutasa, Nyanga and Makoni. By 2050, model means project a decrease of 6%, 9%, 10% and 15% under RCP2.6, RCP4.5, RCP6.0 and RCP8.5, respectively. More drastic decreases are projected by 2070 with almost a quarter (23%) of the current suitable areas having lost their suitability for cocoyam production. There is a general model agreement in the direction of impacts except for RCP2.6 where CCSM4 model projects increases in suitability for cocoyam in the country while other models project decreases. We find that regulating canopy microclimate variation increases potential for cocoyam production under climate change and can be implemented to ensure resilience of cocoyam production systems. Therefore, stabilizing or improving orphan crops systems will substantially contribute to local food security and reduction of malnutrition especially during the lean season.

Suggested Citation

  • Abel Chemura & Dumisani Kutywayo & Danisile Hikwa & Christoph Gornott, 2022. "Climate change and cocoyam (Colocasia esculenta (L.) Schott) production: assessing impacts and potential adaptation strategies in Zimbabwe," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-20, August.
  • Handle: RePEc:spr:masfgc:v:27:y:2022:i:6:d:10.1007_s11027-022-10014-9
    DOI: 10.1007/s11027-022-10014-9
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    References listed on IDEAS

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    1. Mabhaudhi, T. & Modi, A.T. & Beletse, Y.G., 2013. "Response of taro (Colocasia esculenta L. Schott) landraces to varying water regimes under a rainshelter," Agricultural Water Management, Elsevier, vol. 121(C), pages 102-112.
    2. Jan Beck, 2013. "Predicting climate change effects on agriculture from ecological niche modeling: who profits, who loses?," Climatic Change, Springer, vol. 116(2), pages 177-189, January.
    3. Malte Meinshausen & S. Smith & K. Calvin & J. Daniel & M. Kainuma & J-F. Lamarque & K. Matsumoto & S. Montzka & S. Raper & K. Riahi & A. Thomson & G. Velders & D.P. Vuuren, 2011. "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300," Climatic Change, Springer, vol. 109(1), pages 213-241, November.
    4. Stokland, Jogeir N. & Halvorsen, Rune & Støa, Bente, 2011. "Species distribution modelling—Effect of design and sample size of pseudo-absence observations," Ecological Modelling, Elsevier, vol. 222(11), pages 1800-1809.
    5. Davinder Singh & Grahame Jackson & Danny Hunter & Robert Fullerton & Vincent Lebot & Mary Taylor & Tolo Iosefa & Tom Okpul & Joy Tyson, 2012. "Taro Leaf Blight—A Threat to Food Security," Agriculture, MDPI, vol. 2(3), pages 1-22, July.
    6. Paul Evangelista & Nicholas Young & Jonathan Burnett, 2013. "How will climate change spatially affect agriculture production in Ethiopia? Case studies of important cereal crops," Climatic Change, Springer, vol. 119(3), pages 855-873, August.
    7. Anderson, Robert P. & Gonzalez, Israel, 2011. "Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent," Ecological Modelling, Elsevier, vol. 222(15), pages 2796-2811.
    8. Miller, Daniel C. & Muñoz-Mora, Juan Carlos & Christiaensen, Luc, 2017. "Prevalence, economic contribution, and determinants of trees on farms across Sub-Saharan Africa," Forest Policy and Economics, Elsevier, vol. 84(C), pages 47-61.
    9. Mabhaudhi, T. & Chimonyo, V. G. P. & Hlahla, S. & Massawe, F. & Mayes, S. & Nhamo, Luxon & Modi, A. T., 2019. "Prospects of orphan crops in climate change," Papers published in Journals (Open Access), International Water Management Institute, pages 250(3):695-.
    10. Peter B. Reich & Sarah E. Hobbie, 2013. "Decade-long soil nitrogen constraint on the CO2 fertilization of plant biomass," Nature Climate Change, Nature, vol. 3(3), pages 278-282, March.
    11. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    12. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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