Abstract
The paper selected Shijin Irrigation District as the study area. Considering the future climate change, the paper studied the effects of climate change on summer maize growth. The effects of climate change on summer maize yield were quantitatively analyzed by combining the climate scenario Representative Concentration Pathway (RCP)4.5 and AquaCrop model. The results showed that under the RCP4.5 scenario, the future yield of summer maize in Shijin Irrigation District was mainly reduced, but the yield change showed an upward trend. When the direct impact of CO2 is not considered, the yield change ranged from − 6.72~− 3.04%, and the deforestation rate of summer maize is 10.795 kg for every 1 °C increase in growth period. The increase of summer maize is 3.35 kg for every 1 mm increase in rainfall. When considering the direct impact of CO2, the yield change ranged from − 4.04~+ 0.11%. It can be seen that CO2 can compensate for the production reduction effect caused by rising temperature.






Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Araghi A, Adamowski J, Martinez CJ, Olesen JE (2019) Projections of future soil temperature in northeast Iran. Geoderma 349:11–24
Bird DN, Benabdallah S, Gouda N, Hummel F, Koeberl J, La Jeunesse I, Meyer S, Prettenthaler F, Soddu A, Woess-Gallasch S (2016) Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk. Sci Total Environ 543:1019–1027
Chen S, Chen X, Xu J (2013) Impacts of climate change on corn and soybean yields in China. Agricultural and Applied Economics Association, Washington
Davies T, Cullen MJP, Malcolm AJ, Mawson MH, Staniforth A, White AA, Wood N (2005) A new dynamical core for the Met Office’s global and regional modelling of the atmosphere. Quart J Roy Meteor Soc 131:1759–1782
Du WY, He XK, Shamaila Z, Hu ZF, Zeng AJ, Muller J (2011) Yield and biomass prediction testing of AquaCrop model for winter wheat. Trans Chin Soc Agric Mach 42:174–178
Hsiao TC, Heng L, Steduto P, Rojas-Lara B, Raes D, Fereres E (2009) Aquacrop-the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agron J 101:448–459
Hu YN, Liu YJ (2013) Planting distribution of spring maize and its productivity under RCP4.5 scenario in northeast China in 2011—2050. Sci Agric Sin 46:3105–3114
IPCC (2013) Climate change 2013: the physical science basis. Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5). Cambridge Univ. Press, New York
Ju H, Xu YL, Xiong W (2007) Impact of climate change on agriculture in China. Environ Prot 11:71–73
Kang SZ, Yang JZ, Pei YS (2013) Farmland water cycle process and agricultural efficient water use mechanism in Haihe River Basin. Science Publishing, Beijing
Kucharik CJ, Serbin SP (2008) Impacts of recent climate change on Wisconsin corn and soybean yield trends. Environ Res Lett 3:034003
Kumar SN, Aggarwal PK, Rani S, Jain S, Saxena R, Chauhan N (2011) Impact of climate change on crop productivity in Western Ghats, coastal and northeastern regions of India. Curr Sci 101:332–341
Li B (2015) Crop planting structure adjustment and agricultural water resources optimization model in well irrigation area of north China. Beijing Agriculture, Beijing
Long SP, Ainsworth EA, Leakey ADB, Nosberger J, Ort DR (2006) Food for thought: lower-than-expected crop yield stimulation with rising CO2 concentrations. Science. 312:1918–1921
Medina A, Akbar A, Baazeem A, Rodriguez A, Magan N (2017) Climate change, food security and mycotoxins: do we know enough. Fungal Biol Rev 31:143–154
Qu CH, Li XX, Ju H, Liu Q (2019) The impacts of climate change on wheat yield in the Huang-Huai-Hai plain of China using DSSAT-CERES-Wheat model under different climate scenarios. J Integr Agric 18(6):1379–1391
Rohini P, Rajeevan M, Mukhopadhay P (2019) Future projections of heat waves over India from CMIP5 models. Clim Dyn 53(1-2):975–988
Shrestha S, Chapagain R, Babel MS (2017) Quantifying the impact of climate change on crop yield and water footprint of rice in the mammon irrigation project, Thailand. Sci Total Environ:599–600
Soora NK, Aggarwal PK, Saxena R, Rani S, Jain S, Chauhan N (2013) An assessment of regional vulnerability of rice to climate change in India. Clim Chang 118:683–699
Steduto P, Hsiao TC, Raes D, Fereres E (2009) AquaCrop—The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron J 101:426–437
Voloudakis D, Karamanos A, Economou G, Kalivas D, Vahamidis P, Kotoulas V, Kapsomenakis J, Zerefos C (2015) Prediction of climate change impacts on cotton yields in Greece under eight climatic models using the AquaCrop crop simulation model and discriminant function analysis. Agric Water Manag 147:116–128
Wang SW, Luo Y, Zhao ZC, Yan XY, Huang JB (2012) New generation of scenarios of greenhouse gas emission. Adv Clim Chang Res 8:305–307
Wei X, Wang P, Zhang Z, Chen Y, Song X, Shuai JB, Shi PJ, Tao FL (2012) Assessing the impact of climate change on crop yield based on three-interval temperature theory. J Nat Resour 30:470–478
Woo S, Singh GP, Oh JH, Lee KM (2018) Projected changes in summer precipitation over East Asia with a high-resolution atmospheric general circulation model during 21st century. Int J Climatol 38(12):4610–4631
Xiang Y (2009) AquaCrop model application of summer maize planting in north China. Shandong Agricultural University, Tai’an
Xiao GJ, Liu WX, Xu Q, Sun ZJ, Wang J (2005) Effects of temperature increase and elevated CO2 concentration with supplemental irrigation on the yield of rain-fed spring wheat in a semiarid region of China. Agric Water Manag 74:243–255
Yang JY, Mei XR, Yan CR, Liu Q (2010) Spatial distribution characteristics of climate resources in north China. Chin J Agrometeorol 31:1–5
Yin HX (2013) Application of AquaCrop model in deficit irrigation management of spring wheat in semi-arid region. Northeast Normal University, Changchun
Funding
This study received financial support from the National Natural Science Foundation of China (Grant no. 51879181, 51579169) and the National Key R&D Program of China (Grant no. 2016YFC0401407).
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Li, F., Liu, Y., Yan, W. et al. Effects of future climate change on summer maize growth in Shijin Irrigation District. Theor Appl Climatol 139, 33–44 (2020). https://doi.org/10.1007/s00704-019-02956-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-019-02956-z


