Skip to main content

Advertisement

Log in

Assessment of the impacts of climate change on agro-climatic indices in Iran

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Countries located in arid and semi-arid regions of the world, such as Iran, with highly dependent economy to agriculture, are more vulnerable to climate change. Six agro-climatic indices have been used, which include the length of the growing season and the frost-free season, dates of the occurrence of the last frost in spring and the first frost in autumn, and annual sum of the growing degree-days (GDD) for two temperature thresholds. To explore variabilities of the indices in the future, outputs of three regional climate models (RCMs) have been analyzed based on two Representative Concentration Pathway (RCP4.5 and RCP8.5) scenarios for the South Asia CORDEX region, with the horizontal resolution of 0.44°. Differences between the historical and future simulated agro-climatic indices have been calculated, in which the former is obtained from historical outputs of three models for the period 1961–1990, while the latter is based on future simulations during the period 2061–2090 applying RCP4.5 and RCP8.5 scenarios. Both RCP scenarios indicate an increase in the number of frost-free days (maximum 40 and 70 frost-free days according to the RCP4.5 and RCP8.5 scenarios, respectively), with higher changes in mountainous regions. Our results indicate that shorter frost days will be more common in northwestern and western Iran in the future period. The highest increase in annual sum of the GDD will be in southern and central Iran, but the lowest increase will be in northwestern Iran.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Alidoost F, Zhongbo S, Alfred S (2019) Evaluating the effects of climate extremes on crop yield, production and price using multivariate distributions: a new copula application. Weather Clim Extremes 26(2019):1–9

    Google Scholar 

  • Alizadeh-Choobari O (2019) Dynamical downscaling of CSIRO-Mk3.6 seasonal forecasts over Iran with the regional climate model version 4. Int J Climatol 39(7):3313–3322. https://doi.org/10.1002/joc.6021

    Article  Google Scholar 

  • Almazroui M, Islam M, Al-Khalaf A, Saeed F (2016) Best convective parameterization scheme within RegCM4 to downscale CMIP5 multi-model data for the CORDEX-MENA/Arab domain. Theor Appl Climatol 124(3):807–823

    Article  Google Scholar 

  • Almazroui M, Islam M, Saeed F, Alkhalaf A, Dambul R (2017) Assessing the robustness and uncertainties of projected changes in temperature and precipitation in AR5 Global Climate Models over the Arabian Peninsula. Atmos Res 194(Supplement C):202–213

    Article  Google Scholar 

  • Carter T (1998) Changes in the thermal growing season in Nordic countries during the past century and prospects for the future. Agric Food SciFinl 7:161–179

    Article  Google Scholar 

  • Chakraborty A, Seshasai M, Rao S, Dadhwal V (2017) Geo-spatial analysis of temporal trends of temperature and its extremes over India using daily gridded (1°×1°) temperature data of 1969–2005. Theor Appl Climatol 130(1):133–149

    Article  Google Scholar 

  • Dong M, Jiang Y, Zhang D, Wu Z (2013) Spatiotemporal change in the climatic growing season in Northeast China during 1960–2009. Theor Appl Climatol 111(3):693–701

    Article  Google Scholar 

  • Easterling D (2002) Recent changes in frost days and the frost-free season in the United States. Bull Am Meteorol Soc 83(9):1327–1332

    Article  Google Scholar 

  • Feng S, Hu Q (2004) Changes in agro-meteorological indicators in the contiguous United States: 1951–2000. Theor Appl Climatol 78(4):247–264

    Article  Google Scholar 

  • Filahi S, Tramblay Y, Mouhir L, Diaconescu E (2017) Projected changes in temperature and precipitation indices in Morocco from high-resolution regional climate models. Int J Climatol 37:4846–4863. https://doi.org/10.1002/joc.5127

    Article  Google Scholar 

  • Giorgi F, Hewitson B, Christensen J, et al (2001) Regional Climate Information-Evaluation and Projections

  • Giorgi F, Jones C, Asrar G (2009) Addressing climate information needs at the regional level: the CORDEX framework. World Meteorological Organization Bulletin, vol 58. No 3 

  • Gohari A, Eslamian S, Abedi-Koupaei J, Massah Bavani A, Wang D, Madani K (2013) Climate change impacts on crop production in Iran’s Zayandeh-Rud River Basin. Sci Total Environ 442:405–419. https://doi.org/10.1016/j.scitotenv.2012.10.029

    Article  Google Scholar 

  • Graczyk D, Kundzewicz Z (2016) Changes of temperature-related agroclimatic indices in Poland. Theor Appl Climatol 124(1):401–410

    Article  Google Scholar 

  • IPCC (2007) Climate Change 2007 the Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

  • Jones C, Willén U, Ullerstigand A, Hansson U (2004) The Rossby Centre regional atmospheric climate model Part I: model climatology and performance for the present climate over Europe. Ambio 33(4-5):199–210

    Article  Google Scholar 

  • Kadioglu M, Şaylan L (2001) Trends of growing degree-days in Turkey. Water Air Soil Pollut 126(1):83–96

    Article  Google Scholar 

  • Lelieveld J, Proestos Y, Hadjinicolaou P, Tanarhte M, Tyrlis E, Zittis E (2016) Strongly increasing heat extremes in the Middle East and North Africa (MENA) in the 21st century. Clim Chang 137(1):245–260

    Article  Google Scholar 

  • Linderholm H (2006) Growing season changes in the last century. Agric For Meteorol 137(1):1–14

    Article  Google Scholar 

  • Liuzzo L, Bono E, Sammartano V, Freni G (2017) Long-term temperature changes in Sicily, Southern Italy. Atmos Res 198(Supplement C):44–55

    Article  Google Scholar 

  • Martynov A, Laprise R, Sushama L, Winger K, Šeparović L, Dugas B (2013) Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation. Clim Dyn 41(11):2973–3005

    Article  Google Scholar 

  • Menzel A, Fabian P (1999) Growing season extended in Europe. Nature 397(6721):659–659

    Article  Google Scholar 

  • Oh S, Suh M, Cha D (2013) Impact of lateral boundary conditions on precipitation and temperature extremes over South Korea in the CORDEX regional climate simulation using RegCM4. Asia-Pac J Atmos Sci 49(4):497–509

    Article  Google Scholar 

  • Pal J, Giorgi F, Bi X et al (2007) Regional climate modeling for the developing world: the ICTP RegCM3 and RegCNET. Bull Am Meteorol Soc 88(9):1395–1410. https://doi.org/10.1175/bams-88-9-1395

    Article  Google Scholar 

  • Quaye F, Nadolnyak D, Hartarska V (2018) Climate change impacts on farmland values in the Southeast United States. Sustainability 10:3426. https://doi.org/10.3390/su10103426

    Article  Google Scholar 

  • Rahimi M, Hajjam S, Khalili A, Kamali G, Stigter C (2007) Risk analysis of first and last frost occurrences in the Central Alborz region, Iran. Int J Climatol 27(3):349–356

    Article  Google Scholar 

  • Rahimzadeh F, Asgari A, Fattahi E (2009) Variability of extreme temperature and precipitation in Iran during recent decades. Int J Climatol 29(3):329–343

    Article  Google Scholar 

  • Reidsma P, Ewert A, Lansink O, Leemans R (2010) Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses. Eur J Agron 32(1):91–102

    Article  Google Scholar 

  • Ruml M, Vuković A, Vujadinović M, Djurdjević V, Ranković-Vasić Z, Atanacković Z, Sivčev B, Marković N, Matijašević S, Petrović N (2012) On the use of regional climate models: implications of climate change for viticulture in Serbia. Agric For Meteorol 158(Supplement C):53–62

    Article  Google Scholar 

  • Ruosteenoja K, Räisänen J, Pirinen P (2011) Projected changes in thermal seasons and the growing season in Finland. Int J Climatol 31(10):1473–1487

    Article  Google Scholar 

  • Ruosteenoja K, Räisänen J, Venäläinen A, Kämäräinen M (2016) Projections for the duration and degree days of the thermal growing season in Europe derived from CMIP5 model output. Int J Climatol 36(8):3039–3055

    Article  Google Scholar 

  • Russelle M, Wilhelm W, Olson R, Power J (1984) Growth analysis based on degree days1. Crop Sci 24(1):28–32

    Article  Google Scholar 

  • Sang Y (2012) Spatial and temporal variability of daily temperature in the Yangtze River Delta, China. Atmos Res 112(Supplement C):12–24

    Article  Google Scholar 

  • Sharif M (2015) Analysis of projected temperature changes over Saudi Arabia in the twenty-first century. Arab J Geosci 8(10):8795–8809

    Article  Google Scholar 

  • Spinoni J, Vogt J, Barbosa P (2015) European degree-day climatologies and trends for the period 1951–2011. Int J Climatol 35(1):25–36

    Article  Google Scholar 

  • Thivierge M, Jégo G, Bélanger G, Chantigny M, Rotz C, Charbonneau E, Baron V, Qian B (2017) Projected impact of future climate conditions on the agronomic and environmental performance of Canadian dairy farms. Agric Syst 157(Supplement C):241–257

    Article  Google Scholar 

  • Vincent L, Peterson C, Barros V et al (2005) Observed trends in indices of daily temperature extremes in South America 1960–2000. J Clim 18(23):5011–5023

    Article  Google Scholar 

  • Vondou D, Haensler A (2017) Evaluation of simulations with the regional climate model REMO over Central Africa and the effect of increased spatial resolution. Int J Climatol 37:741–760

    Article  Google Scholar 

  • Walther A, Linderholm H (2006) A comparison of growing season indices for the Greater Baltic Area. Int J Biometeorol 51(2):107–118

    Article  Google Scholar 

  • White M, Running S, Thornton P (1999) the impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest. Int J Biometeorol 42(3):139–145

    Article  Google Scholar 

  • Xia J, Yan Z, Jia G, Zeng H, Jones P, Zhou W, Zhang A (2015) Projections of the advance in the start of the growing season during the 21st century based on CMIP5 simulations. Adv Atmos Sci 32(6):831–838

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Asghar Kamyar.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kamyar, A., Yazdanpanah, H., Movahedi, S. et al. Assessment of the impacts of climate change on agro-climatic indices in Iran. Theor Appl Climatol 142, 1359–1367 (2020). https://doi.org/10.1007/s00704-020-03385-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-020-03385-z

Navigation