The impact of high temperature and drought stress on the yield of major staple crops in northern China

Zhu, Xiufang; Liu, Tingting; Xu, Kun; Chen, Changxiu

doi:10.1016/j.jenvman.2022.115092

Cited by 38 publications

(18 citation statements)

References 67 publications

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“…Previous studies have focused on individual climate extremes on annual or seasonal timescales, including chilling damage, 22 drought, 23‐25 extremely low‐temperature events, 26 and gales 12 in northeast China. The spatial‐temporal variation of high temperature, drought, high temperature and drought combined conditions is insufficient.…”

Section: Introductionmentioning

confidence: 99%

“…19 The intensity and frequency of the compound events of high-temperature and drought are increasing and are expected to continue to increase in the future. 2,20,21 Previous studies have focused on individual climate extremes on annual or seasonal timescales, including chilling damage, 22 drought, [23][24][25] extremely low-temperature events, 26 and gales 12 in northeast China. The spatial-temporal variation of high temperature, drought, high temperature and drought combined conditions is insufficient.…”

Section: Introductionmentioning

confidence: 99%

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Spatial‐temporal patterns of high‐temperature and drought during the maize growing season under current and future climate changes in northeast China

Zhao

Zhang

et al. 2023

J Sci Food Agric

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Background Under the background of global warming, the intensity and frequency of extreme meteorological events in the maize growing season in northeast China are increasing. In order to clarify the occurrence characteristics of extreme meteorological events in northeast China, this study focused on three extreme agrometeorological events, i.e., high temperatures, drought, and the compound events of high‐temperature and drought during the maize growing season (May–September), impacting maize production. Results Based on historical (1981–2017) and future (2021–2060) climate data, we analyzed the spatial‐temporal patterns of these three events with different intensities in northeast China. The results indicated that slight high‐temperatures and moderate and severe droughts occurred more frequently in the study area during the historical period. The frequency of the different grades of the compound events of high‐temperature and drought will exhibit an increasing trend in the future, as will the frequency of the compound events of high‐temperature and drought. This is particularly evident in the northwest of the study area. Conclusion The compound events of high‐temperature and drought mainly occurred in late July and early August, encompassing the flowering stage of maize varieties. It is important to identify the area and time of major extreme weather events to implement the necessary preventive measures. © 2023 Society of Chemical Industry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial‐temporal patterns of high‐temperature and drought during the maize growing season under current and future climate changes in northeast China

Zhao

Zhang

et al. 2023

J Sci Food Agric

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“…Climate change is a gradual and inevitable event, but the effects of more frequent and extreme weather events will be abrupt and acutely felt. The substantial increase in extreme climate events (e.g., heat, drought, hurricanes, thunderstorms) has led to annual differences in gross primary productivity (Turner et al., 2021) and seriously threatened the development of crops, resulting in significant negative effects on plant growth, physiology, fertility and final yield (Mazdiyasni & AghaKouchak, 2015; Moore & Osgood, 1985; Zhu et al., 2022). A sufficient accumulated temperature guarantees high crop production, as it is the source of heat energy.…”

Section: Introductionmentioning

confidence: 99%

Regional detection and assessment of chilling damage on maize considering land surface temperature, crop growth status and solar radiation changes

Zhang,

Cai,

et al. 2024

J Agronomy Crop Science

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Increased frequency and severity of chilling damage events pose potential risks to crop performance and productivity due to climate change. Accurate and real‐time access to chilling damage is important for crop growth and yield stability based on field's actual environment. To precisely identify regional chilling events and evaluate the impacts on crops, this study presents a model to estimate field air temperature in view of field crop situations. Land surface temperature, enhanced vegetation index, solar‐induced chlorophyll fluorescence and solar declination were involved in the model. With field simultaneous continuous monitoring and multisource fused remote sensing data, the model was calibrated and validated in Jiefangzha Irrigation Area (JIA) and Changchun City (CC) in North China, accompanied by the determination coefficient ≥0.756, root mean square error ≤0.782°C, relative error ≤0.041 and consistency index ≥0.902. Meanwhile, sensitivities of the model factors were determined through path analysis, where the factors performed according to the order solar‐induced chlorophyll fluorescence >solar declination >land surface temperature > enhanced vegetation index. Using the validated model, chilling damage to maize was further detected in JIA and CC from 2010 to 2020. Results showed that the severity of chilling damage was greater in CC than in JIA, along with the sterile‐type occurring three events in JIA and seven in CC, while the delayed‐type only twice in JIA in 2012 and 2016, but five times in CC in 2013, 2014, 2016, 2017 and 2019, respectively, being consistent with local statistics. In response to chilling damage, enhanced vegetation index and solar‐induced chlorophyll fluorescence demonstrated the negative chilling effects on greenness and light use efficiency for fluorescence. Serious yield losses were caused, with yield‐reducing by 5.00% (Dehui, 2013), 19.00% (Jiutai, 2014), 21.65% (Suburban district, 2016), 8.83% (Shuangyang, 2017) and 2.19% (Jiutai, 2019) in CC. The linear relationship between yield and growing degree days was a bit weakened by chilling damage, with the determination coefficient varying from 0.614 to 0.531. The increasing rate of yield with growing degree days decreased from 20.365 kg/(°C·d) in non‐chilling damage years to 9.670 kg/(°C·d) in chilling damage years. These findings indicate that the presented model is especially adaptive for agricultural field environments, enabling rapid precision detection of chilling damage on crops at regional scales. It will provide references for gauging the impact of chilling damage on crops, finding efficient solutions to the stress and ensuring sustainable development of agriculture.

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“…Natural imbalances bring other implications, such as the costs associated with infrastructure destruction [16], floods [3], and reduction of agricultural crop yields [17]. In addition, drought is expected to displace 700 million people by 2030 [18], which may increase social, political, and economic tensions worldwide [19].…”

Section: Introductionmentioning

confidence: 99%

Algorithm Applied to SDG13: A Case Study of Ibero-American Countries

2023

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Scientific studies confirm the existence of a crisis caused by climate change, in which global causes produce local effects. Despite climate agreements, greenhouse gas emissions continue to fall short of targets to limit global warming. There is still a need for comparable data for Sustainable Development Goal (SDG) 13—Climate Action. The motivation of the research is to provide data for decision-making and to propose solutions to address the climate crisis. The article aims to propose a Fuzzy Logic algorithm to evaluate the SDG13 indicators and to deepen the discussion on climate change. The research is applied explanatory with a combined approach (quantitative-qualitative) through modeling, simulation, and case studies. As a result, the OWA operator ranks 10 Ibero-American countries to SDG13, indicating Colombia, Peru, and Cuba in the first positions. The main contributions are the reduction of identified knowledge gaps and proposals for action for policy and decision-makers. A limitation of this study would be the number of participating countries. The authors indicate future lines of research.

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The impact of high temperature and drought stress on the yield of major staple crops in northern China

Cited by 38 publications

References 67 publications

Spatial‐temporal patterns of high‐temperature and drought during the maize growing season under current and future climate changes in northeast China

Spatial‐temporal patterns of high‐temperature and drought during the maize growing season under current and future climate changes in northeast China

Regional detection and assessment of chilling damage on maize considering land surface temperature, crop growth status and solar radiation changes

Algorithm Applied to SDG13: A Case Study of Ibero-American Countries

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