Climate Change and Its Consequences on Food Security in Khorasan Region

Document Type : Research Paper

Authors

1 PhD candidate D of Agricultural Economics, Ferdowsi University of Mashhad

2 Professors of Agricultural economics, Ferdowsi University of Mashhad.

3 Department of Agricultural Economics, Ferdowsi University of Mashhad

4 Department of agricultural economics, OSU

Abstract

Extended Abstract
Introduction
Changes in the global climate have become one of the most crucial challenges facing agriculture in the twenty-first century. Climatic change is mainly characterized by a rise in greenhouse gas emissions and global average temperature as well as changes in precipitation levels and patterns. Undoubtedly, these changes affect the growth and productivity of agricultural production, and thus food security in many parts of the world like Iran. At present, supplying sufficient food and meeting food security in Iran relies on the management of climatic variables that affect agricultural production. Therefore, it is necessary to study the effects of climate change on agricultural production and food security in arid and semi-arid regions of this country such as the Khorasan region. Given the importance of this issue, the objective of the current study is to investigate climate change and its impacts on the yield and yield risk of selected crops, as well as on food security in the Khorasan region.
Materials and Method
The daily observed data for maximum temperature, minimum temperature, and precipitation is provided from the Meteorological Organization of Iran for 1961–2010. The daily reanalysis data for the period (1961–2005) are obtained from the National Centers for Environmental Prediction (NCEP). The large-scale daily predictors for the CanESM2 model were developed by the CCCma for selected station. These data are used to predict climate parameters under three climatic scenarios (RCP 2.6, RCP 4.5 and 8.5) for 2030. This study used SDSM to downscale GCM-CanESM2 outputs. SDSM model, one of the most widely used models in the world, is applied to downscale future climate projections using the 26 predictors derived from a large-scale climate model. In the current study, a production function technique developed by Just and Pope is applied to investigate the effects of climate variables on the mean and variance of crop yields. This technique consists of two parts: the first component is relating to the yield levels and the second part is related to the yield variance.
Results and discussion
The results showed that maximum temperature, minimum temperature, and precipitation have a significant impact on the yield of the studied crops, so these factors will lead to a decrease in the production of irrigated wheat, irrigated barley, and dryland barley in 2030 compared to the base year. Findings indicate that per capita availability of wheat will decrease from 148.22 to 104.44, 107.51,109.83 and for barley will decrease from 74.28 to 47.94, 54.19, 62.79, and for potato will change from 26.44 to 25.37, 25.53, and 27.24 (kg per person) under climate scenarios RCP2.6, RCP4.5 and RCP8.5, respectively. In addition, the results show that climate change in 2030 will reduce the production of irrigated wheat, barley, and rain-fed barley, while these changes will improve the production of potatoes and rain-fed wheat. Furthermore, the findings of the study reveal that the improvement of technology will be able to reduce the negative effects of climate change on the production of vulnerable products. Also, due to population growth in this region as well as climate change, the per capita availability of crops in 2030 will decrease, which will increase the dependence of this region on other regions of the country and imports to meet food needs.
Suggestion
The results recommend that location-specific adaptation strategies be considered to mitigate the decrease in the yield of irrigated wheat, barley and rain-fed barley crops, and meet food security in the presence of climatic change. Investing in technology (new crop varieties, development irrigation coverage, and increased use of fertilizer) can be considered as an effective policy to reduce the negative effects of climate change on crop production. In addition, supporting population control and climate change mitigation policies can help achieve food security in Iran

Keywords

References

Ahmadi, M., Lashkari, H., Keykhosravi, Gh. and Azadi, M. (2015) Analysis of temperature extreme indicators. In detecting climate change in large Khorasan. Journal of Geography. 13(45): 53-75. (In Farsi).
Aliahmadi, N., Hashemitabar, M. and Hosseini, M.S. (2020) Assessment of the effect of climate change on the production of horticultural products with a randomized production approach, Case Study: Date product. Journal of agricultural economics research. 14 (48): 56-82. (In Farsi).
Arora, V. K., Nath, J. C. and Singh, C. B. (2013) Analyzing potato response to irrigation and nitrogen regimes in a sub-tropical environment using SUBSTOR-Potato model. Agricultural water management. 124: 69-76.
Azad, N., Behmanesh, J., Rezaverdinejad, V. and Tayfeh Rezaie, H. (2018) Climate change impacts modeling on winter wheat yield under full and deficit irrigation in Myandoab-Iran. Archives of Agronomy and Soil Science. 64(5): 731-746.
Boubacar, I. (2010) The effects of drought on crop yields and yield variability in Sahel (No. 1370-2016-108718).
Brown, H. E., Huth, N. and Holzworth, D. (2011) A potato model built using the APSIM Plant .NET Framework. In 19th International Congress on Modelling and Simulation. 12-16.  
Cabas, J., Weersink, A. and Olale, E. (2010) Crop yield response to economic, site and climatic variables. Climatic change. 101(3): 599-616.
Cline, W. R. (2007) Global warming and agriculture: Impact estimates by country. Peterson Institute.
Finger, R. (2009) Modeling farmers' adaptation to climate change–integrating a biophysical and an economic model. In IOP Conference Series. Earth and Environmental Science (Vol. 6, No. 37). IOP Publishing.
Godfray, H. C. J., Pretty, J., Thomas, S. M., Warham, E. J. and Beddington, J. R. (2011) Linking policy on climate and food. Science. 331(6020): 1013-1014.
Godfray, H. C. J., Pretty, J., Thomas, S. M., Warham, E. J. and Beddington, J. R. (2011) Linking policy on climate and food. Science. 331(6020): 1013-1014.
Gujarati, D. N. (2004) Basic econometrics.
Gupta, R. and Mishra, A. (2019) Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India. Agricultural Systems. 173: 1-11.
Hajarpoor, A., Soltani, A., Zeinali, E. and Sayyedi, F. (2014) Simulating climate change impacts on production of chickpea under water-limited conditions. Agriculture Science Developments. 3(6): 209-217.
Hansen, J., Sato, M., Ruedy, R., Lo, K., Lea, D. W. and Medina-Elizade, M. (2006) Global temperature change. Proceedings of the National Academy of Sciences. 103(39): 14288-14293.
Isik, M. and Devadoss, S. (2006) An analysis of the impact of climate change on crop yields and yield variability. Applied Economics. 38(7): 835-844.
Just, R. E. and Pope, R. D. (1979) Production function estimation and related risk considerations. American Journal of Agricultural Economics. 61(2): 276-284.
Kim, M. K., & Pang, A. (2009) Climate change impact on rice yield and production risk. Journal of Rural Development/Nongchon-Gyeongje. 32(1071-2016-86914): 17-29.
Kochaki, A. (1389) the impacts of climate change on agriculture and natural resources in Iran. Agricultural sciences and technology journal. (7): 28-71. (In Farsi).
Kotir, J. H. (2011) Climate change and variability in Sub-Saharan Africa: a review of current and future trends and impacts on agriculture and food security. Environment, Development and Sustainability. 13(3): 587-605.
Lobell, D. B. and Burke, M. B. (2010) On the use of statistical models to predict crop yield responses to climate change. Agricultural and forest meteorology. 150(11): 1443-1452.
Lone, B. A., Tripathi, S., Fayaz, A., Singh, P., Qayoom, S., Kumar, S. and Dar, Z. A. (2019) Simulating the impact of climate change on growth and yield of maize using CERES-Maize model under temperate kashmir. Curr. J. Appl. Sci. Technol. 1: 1-11.
Mahmood, N., Arshad, M., Kächele, H., Ma, H., Ullah, A. and Müller, K. (2019) Wheat yield response to input and socioeconomic factors under changing climate: Evidence from rainfed environments of Pakistan. Science of the Total Environment. 688: 1275-1285.
McCarl, B. A., Villavicencio, X. and Wu, X. (2008) Climate change and future analysis: is stationarity dying?. American Journal of Agricultural Economics. 90(5): 1241-1247.
Meghdadi, N. and Hajarpoor, A. (2015) Simulating climate change impacts on production of chickpea in Zanjan province. Journal of Crop Production. 7(4): 1-22.
Molaei, M., Sadeghi M. and Javanbakht, O. (2017) The impact of climate parameters on yield and yield risk of rainfed wheat and barley in West Azarbaijan province. Journal of Agroecology. 7 (2): 31-45.
Momeni, S. and Zibaei, M. (2013) The potential impacts of climate change on the agricultural sector of Fars province. Agricultural Economics and Development. 27(3): 169-179. (In Farsi).
Nassiri, M., Koocheki, A., Kamali, G. A. and Shahandeh, H. (2006) Potential impact of climate change on rainfed wheat production in Iran: (Potentieller Einfluss des Klimawandels auf die Weizenproduktion unter Rainfed-Bedingungen im Iran). Archives of agronomy and soil science. 52(1): 113-124.
Onyekuru, N. A. and Marchant, R. (2016) Assessing the economic impact of climate change on forest resource use in Nigeria: A Ricardian approach. Agricultural and Forest Meteorology. 220: 10-20.
Palanisami, K., Ranganathan, C. R., Kakumanu, K. R. and Nagothu, U. S. (2011) A Hybrid model to quantify the impact of climate change on agriculture in Godavari basin, India. Energy and Environment Research. 1(1): 32.
Rezaei, M., Nohtani, M., Abkar, A., Rezaei, M. and Mirkazehi Rigi, M. (2013) Performance Evaluation of Statistical Downscaling Model (SDSM) in Forecasting Temperature Indexes in Two Arid and Hyper Regions (Case Study: Kerman and Bam). Journal of Watershed Management Research. 5(10): 117-131.
Sarker, M. A. R., Alam, K. and Gow, J. (2014) Assessing the effects of climate change on rice yields: An econometric investigation using Bangladeshi panel data. Economic Analysis and Policy. 44(4): 405-416.
Shayanmehr, S., Rastegari Henneberry, S., Sabouhi Sabouni, M. and Shahnoushi Foroushani, N. (2020a) Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity. Sustainability. 12(23): 9890.
Shayanmehr, S., Rastegari Henneberry, S., Sabouhi Sabouni, M. and Shahnoushi Foroushani, N. (2020b) Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach. International Journal of Environmental Research and Public Health. 17(14): 5264.
Shyanmehr, S. (2021). Climate Change and Its Impacts on Major Crops Production and Market in Iran. PhD Dissertation. Ferdowsi University of Mashhad.
Sinnarong, N., Chen, C. C., McCarl, B. and Tran, B. L. (2019) Estimating the potential effects of climate change on rice production in Thailand. Paddy and Water Environment. 17(4): 761-769.
Steltzer, H. and Post, E. (2009) Seasons and life cycles. Science. 324(5929): 886-887.
Steltzer, H. and Post, E. (2009) Seasons and life cycles. Science. 324(5929): 886-887.
Tveteros, R. (1999) Production risk and productivity growth: Some findings for Norwegian salmon aquaculture. Journal of Productivity Analysis. 12(2): 161-179.
Wei, T., Cherry, T. L., Glomrød, S. and Zhang, T. (2014) Climate change impacts on crop yield: Evidence from China. Science of the Total Environment. 499: 133-140.
Ye, L., Xiong, W., Li, Z., Yang, P., Wu, W., Yang, G. and Tang, H. (2013) Climate change impact on China food security in 2050. Agronomy for Sustainable Development. 33(2): 363-374.
Zarei, A. R., Shabani, A. and Mahmoudi, M. R. (2019) Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model. Science of the Total Environment. 661: 711-722.
Abdullah, M. H., Saboor, A., Baig, I. A. and Arshad, M. (2016) Climate change, risk and food security: an analysis of wheat crop in Pakistan. In Climate Change Challenge (3C) and Social-Economic-Ecological Interface-Building (pp. 41-63). Springer, Cham.
Agricultural Economics
Volume 15, Issue 4 - Serial Number 4
January 2022
Pages 95-128

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