IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p12086-d670367.html
   My bibliography  Save this article

Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields

Author

Listed:
  • Ibrahim Njouenwet

    (Laboratory of Environmental Modeling and Atmospheric Physics, Department of Physics, University of Yaounde 1, P.O. Box 812, Yaoundé, Cameroon
    Laboratoire Mixte International “Dynamique des Écosystèmes Continentaux d’Afrique Centrale en Contexte de Changements Globaux” (LMI DYCOFAC), “Institut de Recherche pour le Développement” (IRD, University of Yaoundé 1, IRGM), P.O. Box 1857, Yaoundé, Cameroon)

  • Derbetini Appolinaire Vondou

    (Laboratory of Environmental Modeling and Atmospheric Physics, Department of Physics, University of Yaounde 1, P.O. Box 812, Yaoundé, Cameroon
    Laboratoire Mixte International “Dynamique des Écosystèmes Continentaux d’Afrique Centrale en Contexte de Changements Globaux” (LMI DYCOFAC), “Institut de Recherche pour le Développement” (IRD, University of Yaoundé 1, IRGM), P.O. Box 1857, Yaoundé, Cameroon)

  • Stephanie Vanessa Ngono Ashu

    (Laboratory of Environmental Modeling and Atmospheric Physics, Department of Physics, University of Yaounde 1, P.O. Box 812, Yaoundé, Cameroon)

  • Robert Nouayou

    (Laboratory of Geophysics and Geoexploration, Department of Physics, University of Yaoundé 1, P.O. Box 812, Yaoundé, Cameroon)

Abstract

Cotton yields in the Sudano-Sahelian region contribute to food security through their role in agricultural productivity. Daily precipitation data and cotton yield data were synthesized from nine agricultural regions obtained from the “Société de Développement du Coton (SODECOTON)”. The following seasonal rainfall indices—from Cameroon’s cotton zone—were mapped with geographic information systems for spatial analysis: wet season onset and retreat date, rainfall amount, number of rainy days, rainfall intensity (SDII), heavy-rainfall events (R95p), consecutive dry days (CDD), annual highest daily precipitation (Rx1day) and number of very heavy precipitation days (R20mm). Linear regressions were used as statistical tools for analysis. The strongest relationships were observed between cotton yields and the heavy-rainfall events, closely followed by seasonal rainfall amount. An increase in consecutive dry days (CDD) and heavy events, and a decreased seasonal rainfall amount, have a negative impact on cotton yield trends. Overall, the critical breakpoint analysis between cotton yields and all rainfall indices showed that the cotton yield was particularly negatively impacted before a 251 retreat date, 591 mm seasonal rainfall amount and 33 rainy days. By contrast, an onset date, rainfall intensity, heavy rainfall, CDD, Rx1day and R20mm of 127, 12.5 mm·day −1 , 405 mm, 27 days, 67 mm and 22 days, respectively, were identified for an optimum cotton yield. These results can be used as information for agricultural activity and management, civil planning of economic activities and can also contribute to furthering our understanding of the management impacts on future food security.

Suggested Citation

  • Ibrahim Njouenwet & Derbetini Appolinaire Vondou & Stephanie Vanessa Ngono Ashu & Robert Nouayou, 2021. "Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields," Sustainability, MDPI, vol. 13(21), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12086-:d:670367
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/12086/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/21/12086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Sultan & Marthe Bella-Medjo Tsogo & Alexis Berg & Philippe Quirion & Serge Janicot, 2010. "Multi-scales and multi-sites analyses of the role of rainfall in cotton yields in West Africa," Post-Print hal-00715552, HAL.
    2. Antoine Leblois & Philippe Quirion & Benjamin Sultan, 2013. "Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon," Working Papers hal-00796528, HAL.
    3. Elodie Blanc & Philippe Quirion & Eric Strobl, 2008. "The climatic determinants of cotton yields: Evidence from a plot in West Africa," Post-Print hal-00715567, HAL.
    4. Neville Nicholls, 1997. "Increased Australian wheat yield due to recent climate trends," Nature, Nature, vol. 387(6632), pages 484-485, May.
    5. Ibrahim Njouenwet & Derbetini Appolinaire Vondou & Elisabeth Fita Dassou & Brian Odhiambo Ayugi & Robert Nouayou, 2021. "Assessment of agricultural drought during crop-growing season in the Sudano–Sahelian region of Cameroon," 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. 106(1), pages 561-577, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nonki, Rodric M. & Amoussou, Ernest & Lennard, Christopher J. & Lenouo, André & Tshimanga, Raphael M. & Houndenou, Constant, 2023. "Quantification and allocation of uncertainties of climate change impacts on hydropower potential under 1.5 °C and 2.0 °C global warming levels in the headwaters of the Benue River Basin, Cameroon," Renewable Energy, Elsevier, vol. 215(C).
    2. Nguepi Tsafack Elvis & Hua Cheng & Buregeya Ingabire Providence, 2023. "Exploring the Optimistic Approaches and Directives of Cameroon’s Textile Sector for Reliable Development," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Delpeuch, Claire & Leblois, Antoine, 2014. "The Elusive Quest for Supply Response to Cash-Crop Market Reforms in Sub-Saharan Africa: The Case of Cotton," World Development, Elsevier, vol. 64(C), pages 521-537.
    2. Antoine Leblois & Philippe Quirion & Benjamin Sultan, 2013. "Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon," Working Papers hal-00796528, HAL.
    3. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    4. Alexis Berg & Philippe Quirion & Benjamin Sultan, 2009. "Weather-index drought insurance in Burkina-Faso: assessment of its potential interest to farmers," Post-Print hal-00520893, HAL.
    5. Joshi, Niraj Prakash & Maharjan, Keshav Lall & Piya, Luni, 2011. "Effect of climate variables on yield of major food-crops in Nepal -A time-series analysis-," MPRA Paper 35379, University Library of Munich, Germany.
    6. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    7. Zhenhuan Liu & Guojie Zhang & Peng Yang, 2016. "Geographical Variation of Climate Change Impact on Rice Yield in the Rice-Cropping Areas of Northeast China during 1980–2008," Sustainability, MDPI, vol. 8(7), pages 1-12, July.
    8. Andrei Kirilenko & Nikolai Dronin, 2022. "Recent grain production boom in Russia in historical context," Climatic Change, Springer, vol. 171(3), pages 1-19, April.
    9. Tiziano Distefano & Guido Chiarotti & Francesco Laio & Luca Ridolfi, 2018. "Spatial distribution of the international food prices: unexpected randomness and heterogeneity," SEEDS Working Papers 0118, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2018.
    10. Sohail Abbas & Zulfiqar Ali Mayo, 2021. "Impact of temperature and rainfall on rice production in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1706-1728, February.
    11. Brunt, Liam, 2015. "Weather shocks and English wheat yields, 1690–1871," Explorations in Economic History, Elsevier, vol. 57(C), pages 50-58.
    12. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Climate Change, Rice Crops and Violence. Evidence from Indonesia," CESifo Working Paper Series 4665, CESifo.
    13. Dissemin, uploaded via & Berg, Alexis & Quirion, Philippe & Sultan, Benjamin, 2018. "Weather-index drought insurance in Burkina-Faso: assessment of its potential interest to farmers," OSF Preprints dsmqz, Center for Open Science.
    14. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    15. Yonas Alem & Mathilde Maurel & Katrin Millock, 2016. "Migration as an Adaptation Strategy to Weather Variability: An Instrumental Variables Probit Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01955941, HAL.
    16. Frédéric Kosmowski & Antoine Leblois & Benjamin Sultan, 2016. "Perceptions of recent rainfall changes in Niger: a comparison between climate-sensitive and non-climate sensitive households," Climatic Change, Springer, vol. 135(2), pages 227-241, March.
    17. Ma, Shaoxiu & Churkina, Galina & Wieland, Ralf & Gessler, Arthur, 2011. "Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe," Ecological Modelling, Elsevier, vol. 222(20), pages 3662-3679.
    18. Taoyuan Wei & Solveig Glomsrød & Tianyi Zhang, 2017. "Extreme weather, food security and the capacity to adapt – the case of crops in China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(3), pages 523-535, June.
    19. Kima, Aimé Sévérin & Traore, Seydou & Wang, Yu-Min & Chung, Wen-Guey, 2014. "Multi-genes programing and local scale regression for analyzing rice yield response to climate factors using observed and downscaled data in Sahel," Agricultural Water Management, Elsevier, vol. 146(C), pages 149-162.
    20. Traore, Seydou & Zhang, Lei & Guven, Aytac & Fipps, Guy, 2020. "Rice yield response forecasting tool (YIELDCAST) for supporting climate change adaptation decision in Sahel," Agricultural Water Management, Elsevier, vol. 239(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12086-:d:670367. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.