IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v7y2015i5p124.html
   My bibliography  Save this article

Impacts of Climate Variability and Change on Rainfed Sorghum and Maize: Implications for Food Security Policy in Tanzania

Author

Listed:
  • Barnabas Msongaleli
  • Filbert Rwehumbiza
  • Siza Tumbo
  • Nganga Kihupi

Abstract

Concern about food security has increased because of a changing climate, which poses a great threat to food crop productivity. Climate change projections from the Coupled Model Inter-comparison Project phase 5 (CMIP5) and crop models were used to investigate the impacts of climate change on rain-fed cereal production. Calibrated and evaluated crop models simulated maize and sorghum yields over time periods and scenarios across central zone Tanzania with and without adaptation. Simulation outputs without adaptation showed predominant decrease and increase in maize and sorghum yields, respectively. The results showed that maize yields were predicted to decline between 1% and 25% across periods, representative concentration pathways (RCPs) and global circulation models (GCMs). However, sorghum yields were on average predicted to increase between 5% and 21%. Overall when adaptation is incorporated toward mid-century, yields are projected to increase for both crops. The yield projections variation between cereal crops highlights the importance of location and crop specific climate change impact assessments. Despite the uncertainties in predicting the impacts of climate change on rainfed crops, especially on cereals (maize and sorghum) which are important staple food crops in semi-arid Tanzania, the findings of this study enable policy makers to develop plans aimed at sustainable food security. In conclusion, the results demonstrate the presumption that sorghum productivity stands a better chance than maize under prospects of negative impacts from climate change in central zone Tanzania.

Suggested Citation

  • Barnabas Msongaleli & Filbert Rwehumbiza & Siza Tumbo & Nganga Kihupi, 2015. "Impacts of Climate Variability and Change on Rainfed Sorghum and Maize: Implications for Food Security Policy in Tanzania," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(5), pages 124-124, April.
  • Handle: RePEc:ibn:jasjnl:v:7:y:2015:i:5:p:124
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/43253/25585
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/43253
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    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. Keikha, Mahdi & Darzi- Naftchali, Abdullah & Motevali, Ali & Valipour, Mohammad, 2023. "Effect of nitrogen management on the environmental and economic sustainability of wheat production in different climates," Agricultural Water Management, Elsevier, vol. 276(C).
    2. Hao, Shirui & Ryu, Dongryeol & Western, Andrew W & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2024. "Global sensitivity analysis of APSIM-wheat yield predictions to model parameters and inputs," Ecological Modelling, Elsevier, vol. 487(C).
    3. Licheng Liu & Wang Zhou & Kaiyu Guan & Bin Peng & Shaoming Xu & Jinyun Tang & Qing Zhu & Jessica Till & Xiaowei Jia & Chongya Jiang & Sheng Wang & Ziqi Qin & Hui Kong & Robert Grant & Symon Mezbahuddi, 2024. "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    4. Shekhar, Ankit & Shapiro, Charles A., 2022. "Prospective crop yield and income return based on a retrospective analysis of a long-term rainfed agriculture experiment in Nebraska," Agricultural Systems, Elsevier, vol. 198(C).
    5. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
    6. Ojeda, Jonathan J. & Huth, Neil & Holzworth, Dean & Raymundo, Rubí & Zyskowski, Robert F. & Sinton, Sarah M. & Michel, Alexandre J. & Brown, Hamish E., 2021. "Assessing errors during simulation configuration in crop models – A global case study using APSIM-Potato," Ecological Modelling, Elsevier, vol. 458(C).
    7. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    8. Jiang, Tengcong & Wang, Bin & Duan, Xiaoning & Liu, De Li & He, Jianqiang & He, Liang & Jin, Ning & Feng, Hao & Yu, Qiang, 2023. "Prioritizing agronomic practices and uncertainty assessment under climate change for winter wheat in the loess plateau, China," Agricultural Systems, Elsevier, vol. 212(C).
    9. Ibrahim M. A. Soliman, 2019. "Forecasting Model of Wheat Yield in Relation to Rainfall Variability in North Africa Countries," International Journal of Food and Beverage Manufacturing and Business Models (IJFBMBM), IGI Global, vol. 4(2), pages 1-17, July.
    10. Mittenzwei, Klaus & Persson, Tomas & Höglind, Mats & Kværnø, Sigrun, 2017. "Combined effects of climate change and policy uncertainty on the agricultural sector in Norway," Agricultural Systems, Elsevier, vol. 153(C), pages 118-126.
    11. Markhof,Yannick Valentin & Ponzini,Giulia & Wollburg,Philip Randolph, 2022. "Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa," Policy Research Working Paper Series 9968, The World Bank.
    12. Palosuo, Taru & Hoffmann, Munir P. & Rötter, Reimund P. & Lehtonen, Heikki S., 2021. "Sustainable intensification of crop production under alternative future changes in climate and technology: The case of the North Savo region," Agricultural Systems, Elsevier, vol. 190(C).
    13. Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).
    14. Thi Lan Anh Dinh & Filipe Aires, 2023. "Revisiting the bias correction of climate models for impact studies," Climatic Change, Springer, vol. 176(10), pages 1-30, October.
    15. Zimmermann, Andrea & Webber, Heidi & Zhao, Gang & Ewert, Frank & Kros, Johannes & Wolf, Joost & Britz, Wolfgang & de Vries, Wim, 2017. "Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements," Agricultural Systems, Elsevier, vol. 157(C), pages 81-92.
    16. Qiao, Shengchao & Harrison, Sandy P. & Prentice, I. Colin & Wang, Han, 2023. "Optimality-based modelling of wheat sowing dates globally," Agricultural Systems, Elsevier, vol. 206(C).
    17. Tianyi Zhang & Yong He & Ron DePauw & Zhenong Jin & David Garvin & Xu Yue & Weston Anderson & Tao Li & Xin Dong & Tao Zhang & Xiaoguang Yang, 2022. "Climate change may outpace current wheat breeding yield improvements in North America," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    18. Reidsma, Pytrik & Bakker, Martha M. & Kanellopoulos, Argyris & Alam, Shah J. & Paas, Wim & Kros, Johannes & de Vries, Wim, 2015. "Sustainable agricultural development in a rural area in the Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level," Agricultural Systems, Elsevier, vol. 141(C), pages 160-173.
    19. Hendriks, C.M.J. & Stoorvogel, J.J. & Claessens, L., 2016. "Exploring the challenges with soil data in regional land use analysis," Agricultural Systems, Elsevier, vol. 144(C), pages 9-21.
    20. Kroes, Joop & van Dam, Jos & Supit, Iwan & de Abelleyra, Diego & Verón, Santiago & de Wit, Allard & Boogaard, Hendrik & Angelini, Marcos & Damiano, Francisco & Groenendijk, Piet & Wesseling, Jan & Vel, 2019. "Agrohydrological analysis of groundwater recharge and land use changes in the Pampas of Argentina," Agricultural Water Management, Elsevier, vol. 213(C), pages 843-857.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:jasjnl:v:7:y:2015:i:5:p:124. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.