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Maize yield under a changing climate in the Brazilian Northeast: Impacts and adaptation

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  • Martins, Minella Alves
  • Tomasella, Javier
  • Dias, Cássia Gabriele

Abstract

This paper assessed the potential impacts of climate change on maize productivity in the Brazilian Northeast. To achieve this objective, bias-corrected regional downscaled scenarios from three global models for the representative emission pathways, RCP4.5 and RCP8.5, for the periods 1980–2005, 2007–2040, 2041–2070, and 2071–2099 were used as input data for a crop productivity model. Because increased temperatures are likely to shorten the crop cycle length, thus reducing productivity, we investigated the lengthening of the growing cycle as an adaptation strategy. To cope with the reduction of rainfall projected by future climate scenarios, we analyzed the potential impact of irrigation on productivity. The results showed that climate change effects would be mostly negative for maize rainfed agriculture, particularly for the worst-case scenario (RCP8.5, 2071–2099), in which losses were expected to reach more than 60%. However, productivity losses were limited to a maximum of 30% for all RCP4.5 scenarios and before 2070 for the RCP8.5 scenario. The use of maize cultivars with a longer crop cycle for rainfed agriculture was likely to increase the average productivity in all scenarios, although it came at the expense of increasing the risk of crop failure. Regarding the use of irrigation, there was an improvement in productivity for both the short- and long-cycle cultivars, although longer crop cycle cultivars had a decisive advantage, with a drop in yield of less than 20% for all RCP4.5 scenarios and for the RCP8.5 scenario until 2070 compared to the present climate. We estimated the total production and the increase in water demand based on the existing and projected irrigated areas in the region and concluded that it is possible to avoid significant losses in total maize production in the region for all scenarios, with the exception of the 2071–2099 RCP8.5 scenario. However, sustaining such levels of production requires a significant increase in water consumption (up to 140%).

Suggested Citation

  • Martins, Minella Alves & Tomasella, Javier & Dias, Cássia Gabriele, 2019. "Maize yield under a changing climate in the Brazilian Northeast: Impacts and adaptation," Agricultural Water Management, Elsevier, vol. 216(C), pages 339-350.
  • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:339-350
    DOI: 10.1016/j.agwat.2019.02.011
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    1. Mustafa, S.M.T. & Vanuytrecht, E. & Huysmans, M., 2017. "Combined deficit irrigation and soil fertility management on different soil textures to improve wheat yield in drought-prone Bangladesh," Agricultural Water Management, Elsevier, vol. 191(C), pages 124-137.
    2. Martins, Minella A. & Tomasella, Javier & Rodriguez, Daniel A. & Alvalá, Regina C.S. & Giarolla, Angélica & Garofolo, Lucas L. & Júnior, José Lázaro Siqueira & Paolicchi, Luis T.L.C. & Pinto, Gustavo , 2018. "Improving drought management in the Brazilian semiarid through crop forecasting," Agricultural Systems, Elsevier, vol. 160(C), pages 21-30.
    3. Jennifer Burney & Daniele Cesano & Jarrod Russell & Emilio Rovere & Thais Corral & Nereide Coelho & Laise Santos, 2014. "Climate change adaptation strategies for smallholder farmers in the Brazilian Sertão," Climatic Change, Springer, vol. 126(1), pages 45-59, September.
    4. Foster, T. & Brozović, N. & Butler, A.P. & Neale, C.M.U. & Raes, D. & Steduto, P. & Fereres, E. & Hsiao, T.C., 2017. "AquaCrop-OS: An open source version of FAO's crop water productivity model," Agricultural Water Management, Elsevier, vol. 181(C), pages 18-22.
    5. S. Asseng & F. Ewert & C. Rosenzweig & J. W. Jones & J. L. Hatfield & A. C. Ruane & K. J. Boote & P. J. Thorburn & R. P. Rötter & D. Cammarano & N. Brisson & B. Basso & P. Martre & P. K. Aggarwal & C., 2013. "Uncertainty in simulating wheat yields under climate change," Nature Climate Change, Nature, vol. 3(9), pages 827-832, September.
    6. Miroslav Trnka & Reimund P. Rötter & Margarita Ruiz-Ramos & Kurt Christian Kersebaum & Jørgen E. Olesen & Zdeněk Žalud & Mikhail A. Semenov, 2014. "Adverse weather conditions for European wheat production will become more frequent with climate change," Nature Climate Change, Nature, vol. 4(7), pages 637-643, July.
    7. Rolla, Alfredo L. & Nuñez, Mario N. & Guevara, Edgardo R. & Meira, Santiago G. & Rodriguez, Gabriel R. & Ortiz de Zárate, Maria Inés, 2018. "Climate impacts on crop yields in Central Argentina. Adaptation strategies," Agricultural Systems, Elsevier, vol. 160(C), pages 44-59.
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    2. Nicole Costa Resende Ferreira & Jarbas Honorio Miranda, 2021. "Projected changes in corn crop productivity and profitability in Parana, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3236-3250, March.
    3. William Adzawla & Hamdiyah Alhassan, 2021. "Effects of climate adaptation on technical efficiency of maize production in Northern Ghana," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-18, December.
    4. Alex Zizinga & Jackson Gilbert Majaliwa Mwanjalolo & Britta Tietjen & Bobe Bedadi & Ramon Amaro de Sales & Dennis Beesigamukama, 2022. "Simulating Maize Productivity under Selected Climate Smart Agriculture Practices Using AquaCrop Model in a Sub-humid Environment," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    5. Javier Tomasella & Ana Paula M. A. Cunha & Paloma Angelina Simões & Marcelo Zeri, 2023. "Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2173-2190, March.
    6. Zizinga, Alex & Mwanjalolo, Jackson-Gilbert Majaliwa & Tietjen, Britta & Bedadi, Bobe & Pathak, Himanshu & Gabiri, Geofrey & Beesigamukama, Dennis, 2022. "Climate change and maize productivity in Uganda: Simulating the impacts and alleviation with climate smart agriculture practices," Agricultural Systems, Elsevier, vol. 199(C).

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