Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades
Open accessAbstract
Climate change has a distinct impact on agriculture in China, particularly in the northeast, a key agriculture area sensitive to extreme hydroclimate events. Using monthly climate and agriculture data, the influence of drought on maize and soybean yields—two of the main crops in the region—in northeast China since 1961 to 2017 were investigated. The results showed that the temperature in the growing season increased by 1.0 °C from the period 1998–2017 to the period 1961–1980, while the annual precipitation decreased slightly. However, precipitation trends varied throughout the growing season (May–September), increasing slightly in May and June, but decreasing in July, August and September, associated with the weakening of the East Asian summer monsoon. Consequently, the annual and growing season drought frequency increased by 15%, and 25%, respectively, in the period 1998–2017 relative to the period 1961–1980. The highest drought frequency (55%) was observed in September. At the same time, the drought intensity during the growing season increased by 7.8%. The increasing frequency and intensity of drought had negative influences on the two crops. During moderate drought years in the period 1961–2017, 3.2% and 10.4% of the provincial maize and soybean yields were lost, respectively. However, during more severe drought years, losses doubled for soybean (21.8%), but increased more than four-fold for maize (14.0%). Moreover, in comparison to the period 1961–1980, a higher proportion of the yields were lost in the period 1998–2017, particularly for maize, which increased by 15% (increase for soybean was 2.4%). This change largely depends on increasing droughts in August and September, when both crops are in their filling stages. The impact of drought on maize and soybean production was different during different growth stages, where a strong relationship was noted between drought and yield loss of soybean in its filling stage. Given the sensitivity of maize and soybean yields in northeast China to drought, and the observed production trends, climate change will likely have significant negative impacts on productivity in the future.
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The 2013 IPCC report forecasts that, by the late twenty-first century, intense heat and dryness will affect countries extending across North Africa into Egypt and Sudan and northeast to Saudi Arabia, the Levant including Syria, Iraq, and Iran, to parts of India and China in Asia, and across the Southern United States and Mexico.
“The 2013 IPCC report forecasts that, by the late twenty-first century, intense heat and dryness will affect countries extending across North Africa into Egypt and Sudan and northeast to Saudi Arabia, the Levant including Syria, Iraq, and Iran [20], to parts of India and China in Asia, and across the Southern United States and Mexico [21–23].”
From Climate Change, Migration, and Civil Strife. (2020) · cites this paper as [21]
The Study Area and Results sections examine historical drought in northeast China, not a late-century IPCC forecast. Searches for the 2013 IPCC report and the named North African and Middle Eastern countries found no passage addressing the forecast attributed to this paper. (LLM, conf=0.76)
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Cites
(1993) · Cited by 7,699 · see citing works
Influence of extreme weather disasters on global crop production
Lesk, C., Rowhani, P., & Ramankutty, N. (2016) · Nature · doi:10.1038/nature16467 · Cited by 3,883 · cited 1× · see citing works
“For instance, it was estimated that during the period 2000–2007, approximately 3% of the global cereal production was lost to extreme drought disasters [5].”
BackgroundBeguería, S., Vicente-Serrano, S. M., Reig, F., & Latorre, B. (2014) · International Journal of Climatology · doi:10.1002/joc.3887 · Cited by 2,128 · see citing works
Multivariate Standardized Drought Index: A parametric multi-index model
Hao, Z., & AghaKouchak, A. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2013.03.009 · Cited by 966 · see citing works
Assessment of Hydrological Drought Revisited
Nalbantis, I., & Tsakiris, G. (2008) · Water Resources Management · doi:10.1007/s11269-008-9305-1 · Cited by 935 · see citing works
The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended
Hayes, M. J., Svoboda, M. D., Wall, N. A., & Widhalm, M. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams3103.1 · Cited by 926 · cited 1× · see citing works
“In 2009, the WMO (World Meteorological Organization) recommended that the standardized precipitation index (SPI) [12], which is calculated only from precipitation, should be the main meteorological drought index used to monitor and follow up the evolution of drought conditions [21].”
BackgroundNarasimhan, B., & Srinivasan, R. (2005) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2005.07.012 · Cited by 863 · see citing works
Vicente-Serrano, S. M., Beguerı́a, S., López‐Moreno, J. I., Angulo, M., & Kenawy, A. E. (2010) · Journal of Hydrometeorology · doi:10.1175/2010jhm1224.1 · Cited by 733 · see citing works
Anderson, M. C., Hain, C., Wardlow, B. D., Pimstein, A., Mecikalski, J. R., & Kustas, W. P. (2010) · Journal of Climate · doi:10.1175/2010jcli3812.1 · Cited by 530 · see citing works
Soil Moisture Drought in China, 1950–2006
Wang, A., Lettenmaier, D. P., & Sheffield, J. (2011) · Journal of Climate · doi:10.1175/2011jcli3733.1 · Cited by 512 · see citing works
Prasad, P. V. V., Staggenborg, S., & Ristic, Z. (2008) · Advances in agricultural systems modeling · doi:10.2134/advagricsystmodel1.c11 · Cited by 502 · cited 1× · see citing works
“To better understand how droughts affect crop production, it is vital to explore the different growth stages [32].”
BackgroundAn evaluation of the Standardized Precipitation Index, the China‐Z Index and the statistical Z‐Score
Wu, H., Hayes, M. J., Weiss, A., & Hu, Q. (2001) · International Journal of Climatology · doi:10.1002/joc.658 · Cited by 488 · see citing works
Sheffield, J., Andreadis, K. M., Wood, E. F., & Lettenmaier, D. P. (2008) · Journal of Climate · doi:10.1175/2008jcli2722.1 · Cited by 447 · see citing works
Beguerı́a, S., Vicente-Serrano, S. M., & Angulo‐Martínez, M. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams2988.1 · Cited by 438 · see citing works
Ren, G., & Zhou, Y. (2014) · Journal of Climate · doi:10.1175/jcli-d-13-00393.1 · Cited by 287 · see citing works
Self-citationA study on soybean responses to drought stress and rehydration
Dong, S., Jiang, Y., Dong, Y., Wang, L., Wang, W., Ma, Z., Yan, C., Ma, C., & Liu, L. (2019) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2019.08.005 · Cited by 246 · cited 1× · see citing works
“For instance, soybean plants can show physico-biochemical growth compensations for loss and damage caused by drought stress when rehydrated [45], and water stress can initially lead to an increase in shoot length, which could promote uptake of water and nutrients.”
BackgroundDrought severity change in China during 1961–2012 indicated by SPI and SPEI
Wen Wang, A., Zhu, Y., Xu, R., & Liu, J. (2014) · Natural Hazards · doi:10.1007/s11069-014-1436-5 · Cited by 207 · see citing works
Agricultural Reference Index for Drought (ARID)
Woli, P., Jones, J. W., Ingram, K. T., & Fraisse, C. W. (2012) · Agronomy Journal · doi:10.2134/agronj2011.0286 · Cited by 156 · see citing works
Intensity–area–duration analysis of droughts in China 1960–2013
Zhai, J., Huang, J., Su, B., Cao, L., Wang, Y., Jiang, T., & Fischer, T. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3066-y · Cited by 152 · see citing works
Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China
Huang, S., Chang, J., Huang, Q., & Chen, Y. (2014) · Water Resources Management · doi:10.1007/s11269-014-0657-4 · Cited by 151 · see citing works
Regional drought has a global impact
Sternberg, T. (2011) · Nature · doi:10.1038/472169d · Cited by 151 · see citing works
The strength of El Niño and the spatial extent of tropical drought
Lyon, B. (2004) · Geophysical Research Letters · doi:10.1029/2004gl020901 · Cited by 147 · see citing works
Parent, B., & Tardieu, F. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru223 · Cited by 116 · cited 1× · see citing works
“, by affecting stomatal conductance, photosynthesis, leaf expansion, and progression in the plant cycle [44].”
BackgroundShen, B., Lin, Z., Lu, R., & Lian, Y. (2011) · Science China Earth Sciences · doi:10.1007/s11430-011-4173-6 · Cited by 115 · cited 3× · see citing works
“At the end of spring and during the beginning of summer (May to June), precipitation in the studied region is mainly affected by the cold vortex over northeast China [37].”
BackgroundTrends of the thermal growing season in China, 1951–2007
Song, Y., Linderholm, H. W., Chen, D., & Walther, A. (2009) · International Journal of Climatology · doi:10.1002/joc.1868 · Cited by 111 · see citing works
Self-citationA systems approach to a spatio-temporal understanding of the drought stress response in maize
Miao, Z., Han, Z., Zhang, T., Chen, S., & Ma, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-06929-y · Cited by 88 · cited 1× · see citing works
“Across the world, drought is one of the most serious environmental stresses affecting plant growth and development and, consequently, the yields and productivity of crops [4].”
BackgroundTysa, S. K., Ren, G., Qin, Y., Zhang, P., Ren, Y., Jia, W., & Wen, K. (2019) · Journal of Geophysical Research Atmospheres · doi:10.1029/2019jd030948 · Cited by 79 · cited 1× · see citing works
“Previous works have suggested that there is a significant urbanization effect on average annual and seasonal mean temperatures, resulting in an overestimate of the regional temperature trends [42,43].”
BackgroundSelf-citationAssessment of Regional Drought Trend and Risk over China: A Drought Climate Division Perspective
Li, X., Zhou, W., & Chen, Y. D. (2015) · Journal of Climate · doi:10.1175/jcli-d-14-00403.1 · Cited by 77 · cited 1× · see citing works
“intensity have increased in northeast China is in line with previous research [31,40].”
ResultA Spatiotemporal Analysis of Historical Droughts in Korea
Kim, D., Byun, H., Choi, K., & Oh, S. (2011) · Journal of Applied Meteorology and Climatology · doi:10.1175/2011jamc2664.1 · Cited by 68 · see citing works
Assessment of Spatial Agglomeration of Agricultural Drought Disaster in China from 1978 to 2016
Wang, Q., Liu, Y., Zhang, Y., Tong, L., Li, X., Li, J., & Sun, Z. (2019) · Scientific Reports · doi:10.1038/s41598-019-51042-x · Cited by 65 · see citing works
Self-citationAnalysis of agricultural drought characteristics through a two-dimensional copula
Vergni, L., Todisco, F., & Mannocchi, F. (2015) · Water Resources Management · doi:10.1007/s11269-015-0972-4 · Cited by 48 · see citing works
Multifractal analysis of the drought area in seven large regions of China from 1961 to 2012
Hou, W., Feng, G., Yan, P., & Li, S. (2017) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-017-0530-0 · Cited by 48 · cited 1× · see citing works
“intensity have increased in northeast China is in line with previous research [31,40].”
ResultThe changing characteristics of drought in China from 1982 to 2005
Li, B., Su, H., Chen, F., Wu, J., & Qi, J. (2013) · Natural Hazards · doi:10.1007/s11069-013-0649-3 · Cited by 38 · see citing works
The relative contribution of climate and cultivar renewal to shaping rice yields in China since 1981
Song, Y., Wang, C., Ren, G., Zhao, Y., & Linderholm, H. W. (2014) · Theoretical and Applied Climatology · doi:10.1007/s00704-014-1089-z · Cited by 32 · cited 1× · see citing works
“In China, the variety of crops changed in general every 3–5 years [35].”
BackgroundSelf-citationZhang, J., & Weihong, Q. (2010) · Cited by 4 · see citing works
Flagged first, then by citations
3 of the 39 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- [7]China Meteorological Disaster Yearbook (CMDY) China Meteorological Disaster Yearbook China Meteorological Press Beijing, China 2015 (In Chinese)
- [8]China Statistical Yearbook (CSY) 9 China Statistical Yearbook, National Bureau of Statistics of China China Statistics Press Beijing, China 2019 (In Chinese)
- [9]Song Y.L. Wang J.L. The Assessment of Influence of Agro-Meteorological Disasters on Agriculture under Climate Change in China China Meteorological Press Beijing, China 2017 (In Chinese)
- [24]Qi H.X. Zhi X.F. Bai Y.Q. Interdecadal variation and trend analysis of the drought occurrence frequency in China Trans. Atmos. Sci. 2011 34 447 455
- [33]Huang Y. Li J. Wang Y. Zhang X.Y. Li X.Y. Impact simulation of drought on maize growth and yield in different growth stages J. Agric. Catastrophol. 2019 9 47 49 (In Chinese) 10.19383/j.cnki.nyzhyj.2019.06.017 · DOI
- [36]Yang F.Y. Zheng Q.H. Luo J.M. Li W.K. Practical Agro-Meteorological Index China Meteorological Press Beijing, China 2015 (In Chinese)
Cited by
Sorted by citations
The negative impact of increasing temperatures on rice yields in southern China
Song, Y., Wang, C., Linderholm, H. W., Fu, Y., Cai, W., Xu, J., Zhuang, L., Wu, M., Shi, Y., Wang, G., et al. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153262 · Cited by 139 · see citing works
Self-citationMechanistic insights and future perspectives of drought stress management in staple crops
Khan, A. A., Wang, Y.-F., Akbar, R., & Alhoqail, W. A. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1547452 · Cited by 135 · see citing works
“Drought stress during these times can lead to diminished grain size and quantity, poor pollination, and kernel abortion (Wang et al., 2020a).”
Climate Change, Migration, and Civil Strife.
Balsari, S., Dresser, C., & Leaning, J. (2020) · Current Environmental Health Reports · doi:10.1007/s40572-020-00291-4 · Cited by 135 · see citing works
Li, E., Zhao, J., Pullens, J. W. M., & Yang, X. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.152461 · Cited by 134 · see citing works
Recent Advances in PGPR and Molecular Mechanisms Involved in Drought Stress Resistance
Sati, D., Pande, V., Pandey, S. C., & Samant, M. (2022) · Journal of soil science and plant nutrition · doi:10.1007/s42729-021-00724-5 · Cited by 126 · see citing works
Peng, Y., Xu, H., Shi, J. L., Wang, Z., Lv, J., Li, L., & Wang, X. (2024) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2024.108915 · Cited by 98 · see citing works
Shi, H., Guo, J., An, J., Tang, Z., Wang, X., Li, W., Zhao, X. D., Jin, L., Xiang, Y., Li, Z., et al. (2023) · Agronomy · doi:10.3390/agronomy13030663 · Cited by 85 · see citing works
Non-Coding RNAs in Response to Drought Stress
Gelaw, T. A., & Mishra, N. S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212519 · Cited by 84 · see citing works
Teshome, H., Tesfaye, K., Dechassa, N., Tana, T., & Huber, M. S. (2021) · Sustainability · doi:10.3390/su13179622 · Cited by 71 · see citing works
“[61] also reported that increasing frequency and intensity of drought had a negative influence on maize production.”
BackgroundModeling climatically suitable areas for soybean and their shifts across China
Zhao, J., Wang, C., Shi, X., Bo, X., Li, S., Shang, M., Chen, F., & Chu, Q. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103205 · Cited by 60 · see citing works
Self-citationImpact of climate extreme events and their causality on maize yield in South Africa
Simanjuntak, C., Gaiser, T., Ahrends, H. E., Ceglar, A., Singh, M., Ewert, F. A., & Srivastava, A. K. (2023) · Scientific Reports · doi:10.1038/s41598-023-38921-0 · Cited by 60 · see citing works
Xu, X., Chen, F., Wang, B., Harrison, M. T., Chen, Y. J., Liu, K., Zhang, C., Zhang, M., Zhang, X., Feng, P., et al. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131102 · Cited by 61 · see citing works
Did Climate Change Influence the Emergence, Transmission, and Expression of the COVID-19 Pandemic?
Gupta, S., Rouse, B. T., & Sarangi, P. P. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.769208 · Cited by 53 · see citing works
Ensemble learning prediction of soybean yields in China based on meteorological data
Qian-chuan, L. I., Shi-wei, X. U., ZHUANG, J.-Y., Jia-jia, L. I. U., Zhou, Y., & ZHANG, Z.-X. (2023) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2023.02.011 · Cited by 48 · see citing works
Ntiamoah, E. B., Li, D., Appiah‐Otoo, I., Twumasi, M. A., & Nyamah, E. Y. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-20962-z · Cited by 47 · see citing works
Fathi-Taperasht, A., Shafizadeh-Moghadam, H., & Kouchakzadeh, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.133836 · Cited by 43 · see citing works
Fadiji, A. E., Orozco-Mosqueda, M. D. C., Santos‐Villalobos, S. D. L., Santoyo, G., & Babalola, O. O. (2022) · Plants · doi:10.3390/plants11223090 · Cited by 42 · see citing works
“For example, proline levels increased in response to drought in chickpea, garden pea, soybean, and rice [43,44].”
BackgroundJaved, T., Zhang, J., Bhattarai, N., Zhang, S., Rashid, S., Bai, Y., Ahmad, S., Henchiri, M., & Kamran, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127866 · Cited by 43 · see citing works
How to improve the potential of microalgal biostimulants for abiotic stress mitigation in plants?
Vangenechten, B., Coninck, B. D., & Ceusters, J. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1568423 · Cited by 42 · see citing works
Genetic control of tolerance to drought stress in soybean
Saleem, A., Roldán-Ruíz, I., Aper, J., & Muylle, H. (2022) · BMC Plant Biology · doi:10.1186/s12870-022-03996-w · Cited by 38 · see citing works
Li, J., Li, G., Wang, L., Li, D., Li, H., Gao, C., Zhuang, J., Zhuang, J., Zhou, H., Hu, Z., et al. (2023) · Field Crops Research · doi:10.1016/j.fcr.2023.109102 · Cited by 36 · see citing works
Guo, H., Xie, S., & Pan, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18020705 · Cited by 33 · see citing works
“On the whole, the total agricultural area of the three northeastern provinces of China is close to 25 million hectares, accounting for about 15% of China’s total agricultural area [5], and the total grain production accounts for about 20% of China’s total agricultural production.”
BackgroundThe effects of declining soil moisture levels on suitable maize cultivation areas in Northeast China
Li, L., Li, X., Zheng, X., Li, X., Jiang, T., Ju, H., & Wan, X. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.127636 · Cited by 32 · see citing works
Rolbiecki, R., Yücel, A., Kocięcka, J., Atılgan, A., Markovıć, M., & Liberacki, D. (2022) · Sustainability · doi:10.3390/su14063697 · Cited by 32 · see citing works
“Global research has increasingly focused on the assessment of the impact of drought on maize based on climate and agriculture data [24].”
BackgroundPeng, Y., Xu, H., Wang, Z., Shi, J. L., Lv, J., & Wang, X. (2023) · Plant and Soil · doi:10.1007/s11104-023-05931-w · Cited by 32 · see citing works
“The Northeast is a major grain-producing region in China commonly applied with cereal-legume intercropping patterns, which is vulnerable to seasonal drought due to the uneven distribution of rainfall (Wang et al. 2020a).”
Agricultural Insurance, Climate Change, and Food Security: Evidence from Chinese Farmers
Wang, H., Liu, H. S., & Wang, D. (2022) · Sustainability · doi:10.3390/su14159493 · Cited by 29 · see citing works
“However, there is no clear consensus on the largest important meteorological factors affecting food production in a region, with evidence showing that temperature changes affect crop yield more than precipitation changes [7,28,32,33].”
BackgroundLi, E., Zhao, J., Zhang, W., & Yang, X. (2023) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.12650 · Cited by 29 · see citing works
Saleem, A., Aper, J., Muylle, H., Borra‐Serrano, I., Quataert, P., Lootens, P., Swaef, T. D., & Roldán-Ruíz, I. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.818766 · Cited by 28 · see citing works
Sun, J., Zhang, Q., Liu, X., Sun, J., Chen, L., Wu, Y., Hu, B., & Zhang, G. (2024) · Weather and Climate Extremes · doi:10.1016/j.wace.2024.100700 · Cited by 27 · see citing works
Next-generation genetic engineering tools for abiotic stress tolerance in plants
Hossain, A., Ahmed, S., Ahmad, Z., Alam, M. J., Moulick, D., Saha, B., Samanta, S., Maitra, S., Bhadra, P., Bukhari, M. A., et al. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90943-3.00008-0 · Cited by 29 · see citing works
Lv, K., Wei, H., & Liu, G. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.791390 · Cited by 27 · see citing works
Hazra, S., Moulick, D., Mukherjee, A., Sahib, S., Chowardhara, B., Majumdar, A., Upadhyay, M. K., Yadav, P. T., Roy, P., Santra, S. C., et al. (2023) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2023.107940 · Cited by 27 · see citing works
Welfare Impact of Organic Fertilizer Adoption: Empirical Evidence From Nigeria
Oyetunde‐Usman, Z., Ogunpaimo, O. R., Olagunju, K. O., Ambali, O. I., & Ashagidigbi, W. M. (2021) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2021.691667 · Cited by 32 · see citing works
“, 2013) and have implications on agricultural households’ productivity and welfare outcomes (Barry et al., 2014; Ray et al., 2018; Wang et al., 2020).”
BackgroundLi, A., Lv, D., Zhang, Y., Zhang, D., Zong, Y., Shi, X., Li, P., & Hao, X. (2023) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2023.108266 · Cited by 25 · see citing works
Effects of post‐silking drought stress degree on grain yield and quality of waxy maize
Guo, J. P., Qu, L., Wang, L., Lu, W., & Lu, D. (2022) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.12250 · Cited by 24 · see citing works
Li, K., Wang, C., Rong, G., Wei, S., Liu, C., Yang, Y., Sudu, B., Guo, Y., Sun, Q., & Zhang, J. (2022) · Remote Sensing · doi:10.3390/rs15010057 · Cited by 23 · see citing works
Self-citationde la Casa, A., Ovando, G. G., & Díaz, G. J. (2021) · European Journal of Agronomy · doi:10.1016/j.eja.2021.126340 · Cited by 22 · see citing works
Soybean Production and Spatial Agglomeration in China from 1949 to 2019
Chen, W., Zhang, B., Kong, X., Wen, L., Liao, Y., & Kong, L. (2022) · Land · doi:10.3390/land11050734 · Cited by 21 · see citing works
“In addition, the effects of conservation tillage [19], wheat straw mulching [20], temperature [21], CO 2 [22], and drought [23,24] on soybean yields have been studied.”
BackgroundMakuya, V., Tesfuhuney, W. A., Moeletsi, M. E., & Bello, Z. A. (2024) · Sustainability · doi:10.3390/su16114703 · Cited by 25 · see citing works
COVID-19 pandemic: the possible influence of the long-term ignorance about climate change
Gorji, S., & Gorji, A. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-12167-z · Cited by 20 · see citing works
Zhang, Y., Sun, Z., Wang, E., Du, G., Chen, F., Zhang, W., Xu, H., Li, S., Li, Q., Zhang, L., et al. (2022) · Agronomy for Sustainable Development · doi:10.1007/s13593-022-00839-8 · Cited by 20 · see citing works
The persistent impact of drought stress on the resilience of summer maize
Jing, L., Weng, B., Yan, D., Zhang, S., Bi, W., & Yan, S. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1016993 · Cited by 18 · see citing works
“It is the central disaster area of agricultural drought in the Huaihe River Basin (Liu et al., 2017; Chen et al., 2020; Wang et al., 2020).”
BackgroundAnkrah, J., Monteiro, A., & Madureira, H. (2023) · Water · doi:10.3390/w15010211 · Cited by 17 · see citing works
Soybean phenological changes in response to climate warming in three northeastern provinces of China
Xin, M., Zhang, Z., Han, Y., Feng, L., Lei, Y., Li, X., Wu, F., Wang, J., Wang, Z., & Li, Y. (2023) · Field Crops Research · doi:10.1016/j.fcr.2023.109082 · Cited by 17 · see citing works
Miranda, R. D. S., da Fonseca, B. S. F., Pinho, D. S., Batista, J. Y. N., de Brito, R. R., da Silva, E. M., Ferreira, W. S., Costa, J. H., Lopes, M. D. S., de Sousa, R. H. B., et al. (2023) · Plants · doi:10.3390/plants12173134 · Cited by 17 · see citing works
Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance
Liu, S., Yu, H., Sui, Y., Zhou, H., Zhang, J., Kong, L., Dang, J., & Zhang, L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257008 · Cited by 17 · see citing works
“2–2017) in China: 0%– 1% (class 1), 1%– 3% (class 2), 3%– 6% (class 3), 6%– 20% (class 4), 20%– 50% (class 5), > 50% (class 6).”
BackgroundInfluentialMagnesium supplementation alleviates drought damage during vegetative stage of soybean plants
Santos, A. S., Pinho, D. S., da Silva, A. C., de Brito, R. R., Lacerda, J. J. D. J., da Silva, E. M., Batista, J. Y. N., da Fonseca, B. S. F., Gomes‐Filho, E., Paula‐Marinho, S. D. O., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289018 · Cited by 16 · see citing works
“In United States and China, drought-induced yield losses of up to 25.4% and 21.8% have been observed over the past four and five decades, respectively [4, 5].”
InfluentialChen, Q., Nie, T., Li, Y., Li, H., Sun, Y., Wu, Y., Zhang, Y., & Wang, M. (2025) · Agronomy · doi:10.3390/agronomy15020444 · Cited by 16 · see citing works
Multidimensional synergistic adaptation enhances the systemic resilience in China’s food security
Liu, Y., Chen, J., Cheng, W., Wang, X., Pan, T., Liu, J., Lu, Y., Zhang, E., Huang, S., Zhang, J., et al. (2025) · National Science Review · doi:10.1093/nsr/nwaf587 · Cited by 15 · see citing works
“In North-east China, the promotion of conservation tillage, while requiring more than 10 different models to suit local conditions, has been identified as a key adaptation strategy to improve soil health and climate resilience [48 ].”
Self-citationLi, M., Liu, Y., Pan, Y., Zhang, X., Xu, K., Qu, Y., & Li, H. (2024) · Atmosphere · doi:10.3390/atmos15040392 · Cited by 15 · see citing works
Self-citationHao, Y., Hao, Z., Feng, S., Wu, X., Zhang, X., & Hao, F. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126729 · Cited by 15 · see citing works
Breeding Efforts for Crop Productivity in Abiotic Stress Environment
Choudhary, J. R., Get, S., Tripathi, A., Kaldate, R. C., Rana, M., Mehta, S., Ahlawat, J., Bansal, M., Zaid, A., & Wani, S. H. (2022) · Springer eBooks · doi:10.1007/978-981-16-6361-1_5 · Cited by 15 · see citing works
Dai, R., Chen, S., Cao, Y., Zhang, Y., & Xu, X. (2023) · Remote Sensing · doi:10.3390/rs15071915 · Cited by 14 · see citing works
Drought risk assessment for maize/peanut intercropping based on crop model and SPEI
Guo, Y., Sun, Z., Bai, W., Zhang, Z., Zhang, Y., Du, H., Sun, T., Zhang, J., Peng, P., Ji, Y., et al. (2024) · Agricultural Systems · doi:10.1016/j.agsy.2024.104144 · Cited by 13 · see citing works
Impact of irrigation on cropland yield potential and scenario-based optimization in Northeast China
Li, J., Xu, X., Liu, L., Deng, X., & Wang, S. (2025) · Agricultural Water Management · doi:10.1016/j.agwat.2025.109522 · Cited by 14 · see citing works
Zhang, Y., Zhao, Y., Sun, Q., & Chen, S. (2022) · International Journal of Biometeorology · doi:10.1007/s00484-022-02363-6 · Cited by 12 · see citing works
“One of the limitations of this study was the lack of consideration of drought, which has negative effects on NEC maize yield (Zhang and Hu 2018; Wang et al. 2020) and together with heat could intensify any effects on maize yield (Lobell et al.”
BackgroundZhang, B., Wang, S., & Zhu, J. (2021) · Climate Dynamics · doi:10.1007/s00382-021-05889-4 · Cited by 13 · see citing works
“2018; Shrestha and Wang 2020; Zhu et al.”
Li, L., & Cai, H.-J. (2024) · Environmental science and pollution research international · doi:10.1007/s11356-024-32803-2 · Cited by 11 · see citing works
“Drought events are among the most destructive and costly natural disasters, and they seriously impact agriculture, water resources, ecology, and society (Khanal et al. 2017; Kiem 2013; Wang et al. 2020).”
Shirazi, S. Z., Liu, B., Liu, Y., Han, R., Zhu, Y., Qiao, O., Che, H., Zhang, Y., & Mei, X. (2024) · Agricultural Water Management · doi:10.1016/j.agwat.2024.109150 · Cited by 12 · see citing works
Self-citationHalo, B. A., Aljabri, Y. A. S., & Yaish, M. W. F. (2025) · PLoS ONE · doi:10.1371/journal.pone.0320197 · Cited by 12 · see citing works
Song, S., Li, X., Wang, X., Zhou, Q., Li, Y., Wang, X., & Dong, S. (2022) · Phyton · doi:10.32604/phyton.2022.021090 · Cited by 12 · see citing works
Leite, J. T., Júnior, A. T. D. A., Kamphorst, S. H., de Lima, V. J., dos Santos, D. R., Schmitt, K. F. M., de Souza, Y. P., Santos, T. D. O., Bispo, R. B., Mafra, G. S., et al. (2021) · Plants · doi:10.3390/plants10071450 · Cited by 12 · see citing works
“scarcity and increased temperature are highlighted as the main limiting factors of the full expression of the yield potential of agricultural crops [8,11,12].”
BackgroundEmileva, B., Kuhn, L., Bobojonov, I., & Glauben, T. (2023) · Climate Risk Management · doi:10.1016/j.crm.2023.100537 · Cited by 11 · see citing works
Migratory herbivorous waterfowl track multiple resource waves during spring migration
Xu, F., Wu, W., Wei, J., Xin, Q., Wielstra, B., Sorte, F. A. L., Ma, Z., Lei, G., Lei, J., Wu, W., et al. (2024) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2024.1448 · Cited by 11 · see citing works
Yerzhebayeva, R. S., Didorenko, S. V., Бастаубаева, Ш., Amangeldiyeva, A., Maikotov, B., Kassenov, R., & Shavrukov, Y. N. (2024) · Agriculture · doi:10.3390/agriculture14111884 · Cited by 11 · see citing works
Spatiotemporal assessment of drought and its impacts on crop yield in the Koshi River Basin, Nepal
Dahal, N., Xiong, D.-H., Neupane, N., Yuan, Y., Zhang, B.-J., Zhang, S., Fang, Y.-P., Zhao, W., Wu, Y.-H., & Deng, W. (2023) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04719-3 · Cited by 9 · see citing works
“Consequently, the variability in drought frequency and crop yield loss across the KRB, Nepal, is exacerbated by these factors (Wang et al. 2020).”
Effects of straw returning on soil moisture and maize yield in semi-humid area
Zhang, L., Zhao, H., Xu, C., Yan, W., Sun, N., Tan, G., Yu, J., Meng, X., Li, F., & Bian, S. (2021) · Cereal Research Communications · doi:10.1007/s42976-021-00194-6 · Cited by 11 · see citing works
Spatio-temporal variations and drought of spring maize in Northeast China between 2002 and 2020
Ji, L., Wu, Y., Ma, J., Song, C., Zhu, Z., & Zhao, A. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-24502-7 · Cited by 10 · see citing works
Sajeev, A., & Kundapura, S. (2023) · Journal of Hydrologic Engineering · doi:10.1061/jhyeff.heeng-6011 · Cited by 10 · see citing works
Hao, B., Ma, J., Si, S., Wang, X., Wang, S., Li, F., & Jiang, L. (2024) · Agricultural Water Management · doi:10.1016/j.agwat.2024.108880 · Cited by 9 · see citing works
Lu, C., Leng, G., Yu, L., Qiu, J., & Peng, J. X. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.145957 · Cited by 10 · see citing works
Water deficit on the growth and yield of irrigated soybean in the Brazilian Cerrado region
Alves, É. D. S., Rodrigues, L. N., de Oliveira, R. A., & Lorena, D. R. (2021) · Revista Brasileira de Engenharia Agrícola e Ambiental · doi:10.1590/1807-1929/agriambi.v25n11p750-757 · Cited by 9 · see citing works
Climate change in MATOPIBA region of Brazil: a study on climate extremes in agriculture
Aparecido, L. E. D. O., Dutra, A. F., Lorençone, P. A., Neto, F. D. A., Lorençone, J. A., & Leite, M. R. L. (2023) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04509-x · Cited by 8 · see citing works
Spatial–Temporal Characteristics and Driving Factors of Disaster-Induced Grain Yield Loss in China
Zhao, X., Deng, G., & Xi, Y. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.808565 · Cited by 8 · see citing works
“(2020) found that severe drought increased the yield loss rates of soybean and maize in Northeast China by more than one and four times, respectively, compared with moderate drought (Wang et al., 2020).”
Backgroundda Silva, E. H. F. M., Kothari, K., Pattey, E., Battisti, R., Boote, K., Archontoulis, S., Cuadra, S., Faye, B., Grant, B., Hoogenboom, G., et al. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110463 · Cited by 9 · see citing works
Rigobelo, E. C., de Carvalho, L. A. L., Santos, C. H. B., Frezarin, E. T., Pinheiro, D. G., Nicodemo, D., Babalola, O. O., & Desoignies, N. (2024) · Scientific Reports · doi:10.1038/s41598-024-71565-2 · Cited by 7 · see citing works
Markovıć, M., Šoštarić, J., Josipović, M., & Atılgan, A. (2021) · Applied Sciences · doi:10.3390/app11167352 · Cited by 7 · see citing works
Zhang, X., Wang, H., Yu, Z., Yan, D., Liu, R., Liu, S., Zhu, Y., Chen, Y., & Wu, Z. (2025) · Land · doi:10.3390/land14030445 · Cited by 6 · see citing works
Chang, C. Y.-Y., Barnaby, J. Y., & Maul, J. E. (2025) · Remote Sensing of Environment · doi:10.1016/j.rse.2025.114722 · Cited by 6 · see citing works
Climate Change: Projections and Its Possible Impact on Soybean
Bijlwan, A., Ranjan, R., Kumar, M., & Jha, A. (2025) · Springer eBooks · doi:10.1007/978-981-97-8677-0_2 · Cited by 6 · see citing works
Variation in Root Development Response of Napier Grass to Drought Stress
Nguyen, L. V., Tran, N., Long, N. V., Phan, H., Mbaraka, S. R., Pham, C., & Tang, H. T. (2021) · Journal of Ecological Engineering · doi:10.12911/22998993/140321 · Cited by 6 · see citing works
“Severe drought-induced crop yield losses of 14.0% and 21.8% were reported for maize and soybean, respectively [Wang et al., 2020].”
BackgroundInfluentialThi, V. H. T., & Zhou, W. (2025) · Land · doi:10.3390/land14030547 · Cited by 5 · see citing works
Sihag, N., Singh, T., Sheoran, S., Singh, O., Malik, R., Kumar, L., & Singh, J. (2024) · Australian Journal of Agricultural Research · doi:10.1071/cp23183 · Cited by 5 · see citing works
Cloning and Drought Resistance Analysis of Soybean GmHsps_p23-like Gene
Zhang, Y., Li, G., Hu, S., Liu, J., Jiang, Y., Liu, S., Guan, S., Qu, J., Yao, D., Shi, A., et al. (2022) · Phyton · doi:10.32604/phyton.2022.018853 · Cited by 5 · see citing works
Self-citationSpatial Pattern of Water Footprints for Crop Production in Northeast China
Li, Z., Wu, H., & Deng, X. (2022) · Sustainability · doi:10.3390/su142013649 · Cited by 5 · see citing works
Ning, X., Dong, P., Wu, C., Wang, Y., & Zhang, Y. (2022) · Energies · doi:10.3390/en15228347 · Cited by 5 · see citing works
Sajeev, A., & Kundapura, S. (2024) · Natural Hazards · doi:10.1007/s11069-024-06739-2 · Cited by 5 · see citing works
“Wang et al. (2020b) have developed a non-stationary Standardized Streamflow Drought Index.”
InfluentialBacterial biofertilizers for bioremediation: A priority for future research
Rizvi, A., Ahmed, B., Umar, S., & Khan, M. S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91595-3.00011-2 · Cited by 5 · see citing works
Rudnicki, R., & Wiśniewski, Ł. (2022) · Journal of Water and Land Development · doi:10.24425/jwld.2021.139010 · Cited by 5 · see citing works
“G ALLARDO et al. 2019; R AY et al. 2018; W ANG et al. 2020].”
Amangeldiyeva, A., Yerzhebayeva, R. S., Mazkirat, S., Didorenko, S., Бастаубаева, Ш., Maikotov, B., Kassenov, R., Jenisbayeva, A., & Shavrukov, Y. N. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1674201 · Cited by 4 · see citing works
Yang, N., Zhang, M., Jia, H., Zhao, X., Farooq, M., Dang, P., Wang, S., Pan, X., Joseph, C. O., Siddique, K. H. M., et al. (2026) · Agricultural Water Management · doi:10.1016/j.agwat.2026.110159 · Cited by 4 · see citing works
Future Cropland Exposure to Drought Frequency Under Climate Change and Land-Use Scenarios in Nigeria
Awhari, D. P., Jamal, M. H., Muhammad, M. K. I., Nasara, M. A., adi, Z. S., Shiruf, M. S., Sharrarg, L., & Shahid, S. (2026) · Earth Systems and Environment · doi:10.1007/s41748-025-01015-0 · Cited by 4 · see citing works
“8 and 10 show that the frequency of drought under moderate DF is high in both the near and far future, with increases expected across 1-to 12-month timescales land degradation, ultimately increasing food insecurity in drought-prone areas (Shiru et al. 2020; Wang et al. 2020).”
Halo, B. A., Aljabri, Y. A. S., Glick, B. R., & Yaish, M. W. F. (2026) · Scientific Reports · doi:10.1038/s41598-026-45459-4 · Cited by 4 · see citing works
Xu, J., Du, X., Dong, T., Li, Q., Zhang, Y., Wang, H., Xiao, J., Zhang, J., Shen, Y., & Dong, Y. (2026) · Earth system science data · doi:10.5194/essd-18-2413-2026 · Cited by 4 · see citing works
Self-citationde Oliveira, U. A., Júnior, A. T. D. A., Leite, J. T., Kamphorst, S. H., de Lima, V. J., Bispo, R. B., Ribeiro, R. M., Viana, F. N., Lamêgo, D. L., Carvalho, C. M., et al. (2024) · Life · doi:10.3390/life14060743 · Cited by 4 · see citing works
“Thus, the lack of adequate rainfall and the increase in temperature limit the productive potential of crops, especially maize [4,14,15].”
BackgroundSoussani, F.-E., Rahou, Y. A., Ikan, C., Douira, A., Benkirane, R., Barka, E. A., Lahlali, R., & Meddich, A. (2024) · Phyton · doi:10.32604/phyton.2024.055050 · Cited by 4 · see citing works
Yan, S., Chen, H., & He, S. (2025) · Atmospheric Research · doi:10.1016/j.atmosres.2025.108084 · Cited by 4 · see citing works
Zhou, Y., Li, H., Sun, B., Wang, H., Ju, H., Yuan, Y., & Zeng, J. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110709 · Cited by 4 · see citing works
Matłok, N., Basara, O., Zardzewiały, M., Gorzelany, J., & Balawejder, M. (2021) · Agriculture · doi:10.3390/agriculture11080754 · Cited by 4 · see citing works
“[26] demonstrated that increasing frequency and intensity of dry periods occurring in Northeast China during 1961–2017 led to a significant decrease in the yield of maize grain produced.”
BackgroundZou, Z., Cheng, C., & Shen, S. (2023) · Sustainability · doi:10.3390/su15043485 · Cited by 4 · see citing works
“Previous research has shown that meteorological conditions at different growth stages have different effects on the crop yield [11].”
Background
- Authors
- Wang, C., Linderholm, H. W., Song, Y., Wang, F., Liu, Y., Tian, J., Xu, J., Song, Y., & Ren, G.
- Affiliations
- Chinese Academy of Meteorological Sciences (CN)
- University of Cambridge (GB)
- China Meteorological Administration (CN)
- Christian-Albrechts-Universität zu Kiel (DE)
- Corresponding author
- Wang, Chunyi
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-04-03
- Volume
- 17
- Issue
- 7
- Pages
- 2459
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7177764
- OpenAlex
- W3014444754
- Cited by
- 147
- References
- 39
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 26 · 2023: 24 · 2022: 27 · 2021: 23 · 2020: 4
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Multimedialen Archiv und Publikationsserver der Christian-Albrechts-Universität zu Kiel (Christian-Albrechts-Universität zu Kiel) (submittedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- drought, maize yield, soybean yield, crop yield loss, climate change impacts on agriculture, growing season precipitation, East Asian summer monsoon, drought frequency and intensity, crop growth stages, Northeast China
- MeSH terms
- Agriculture, China, Zea mays, Glycine max, Droughts, Climate Change
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