Temperature variations and rice yields in China: historical contributions and future trends

Pin, Wang; Zhang, Zhao; Song, Xiao; Chen, Yi; Wei, Xing; Shi, Peijun; Tao, Fulu

doi:10.1007/s10584-014-1136-x

Cited by 82 publications

(58 citation statements)

References 35 publications

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“…The above data have been used in existing 1 http://data.cma.cn/. research and their validity tested (Liu et al 2010;Wang et al 2014;Zhang et al 2016). …”

Section: Data Sourcesmentioning

confidence: 99%

“…Many weather indices for chilling injury and heat damage were introduced in previous studies (Ju et al 1997;Alexander et al 2006;CMA 2008CMA , 2013 Ma et al 2008;Dong et al 2009;Lobell et al 2011;Wang et al 2014). In this study, we chose three The first character of each index represents the disaster type-C for chilling injury, H for heat damage CTD and HTD P (T mean -10) -T Taking T as the 29-year average of C10°C accumulated temperature , the annual anomaly indicates insufficient or excessive active heat accumulation in the growing season (Yan et al 2011).…”

Section: Weather Indexmentioning

confidence: 99%

“…Agro-meteorological hazards usually have significant negative impacts on crop yield, especially temperature-related hazards. For such hazards, the upper threshold temperature (T upper ), optimum temperature (T opt ), and lower threshold temperature (T lower ) have generally been used to characterize crop response to ambient air temperature (Qian et al 2010;Wang et al 2014). Extreme low (\T lower ) or high ( [ T upper ) temperature events may have severe consequences for crop yields; these are called chilling injury or heat damage in the present study.…”

Section: Introductionmentioning

confidence: 99%

“…Extreme low (\T lower ) or high ( [ T upper ) temperature events may have severe consequences for crop yields; these are called chilling injury or heat damage in the present study. With ongoing climate change, more frequent and intense extreme-temperature events will become a major challenge to crop production (Wang et al 2014;Zhang et al 2014a, b;Chen et al 2016). More attention has been given to the meteorological causes of crop failure and effects of agro-meteorological hazards (Challinor et al 2005;Lobell and Field 2007;Tao et al 2008Tao et al , 2013Zhang et al 2014aZhang et al , b, 2016, but very few studies have focused on how to reduce corresponding economic losses from agro-meteorological hazards, especially in China.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Temperature-Related Weather Index for Agricultural Insurance of Three Main Crops in China

Zhang

Tao

2017

Int J Disaster Risk Sci

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In this study, two categories of weather indexabsolute index and relative index-for chilling injury and heat damage of three main crops in China were assessed to identify insurable counties. First, correlations between selected weather indices and yield losses were examined for each county. If a correlation was significant, the county was categorized as ''insurable'' for the corresponding hazard or index. Second, the spatial distribution of insurable counties was characterized and finally, their correlation coefficients were analyzed at various spatial scales. The results show that the spatial patterns of insurable areas varied by categories of weather indices, crops, and hazards. Moreover, the weather indices based on relative threshold of temperature were more suitable for chilling injury in most regions, whereas the indices based on absolute threshold were more suitable for heat damage. The findings could help the Chinese government and insurance companies to design effective insurance products.

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“…The above data have been used in existing 1 http://data.cma.cn/. research and their validity tested (Liu et al 2010;Wang et al 2014;Zhang et al 2016). …”

Section: Data Sourcesmentioning

confidence: 99%

Section: Weather Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance of Temperature-Related Weather Index for Agricultural Insurance of Three Main Crops in China

Zhang

Tao

2017

Int J Disaster Risk Sci

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“…Meanwhile, the increasing incidence and intensity of extreme climate events, such as extreme high-temperatures, droughts and floods have severely threatened crop growth (Decker, 1994;Zhang et al, 2010;Zhang et al, 2014a;IPCC, 2012;Wang et al, 2014). The quantification of extreme events' impacts on agricultural outputs and the uncertainty, variability and error propagation during risk evaluation have drawn more concerns since AR4 (Porter et al, extreme events, and influence our understanding of comprehensive risk of extreme events for food supply security.…”

Section: Introductionmentioning

confidence: 99%

Identifying the impact of multi-hazards on crop yield—A case for heat stress and dry stress on winter wheat yield in northern China

Chen

Zhang

Wang

et al. 2016

European Journal of Agronomy

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a b s t r a c tWinter wheat production in northern China severely suffered from high temperatures and low relative humidity. However, the spatio-temporal pattern of heat stress and dry stress and the impacts of these multi-hazards on winter wheat yield have rarely been investigated. Using historical climate data, phenology data and yield records from 1980 to 2008, an analysis was performed to characterize the spatio-temporal variability of heat stress and dry stress in the post-heading stages of wheat growth in northern China. Additionally, these stresses' impacts on winter wheat yield fluctuations were evaluated. Spatially, the central and northern parts of northern China have seen more serious heat stress, while greater dry stress has been observed in the northwest and north of the research area. Temporally, the heat stress has increased in the western part but decreased in the central and eastern parts of research area. Dry stress has aggravated in the entire northern China during the past decades, indicating the complexity of the exposure to adverse climate conditions. These two hazards (heat stress and dry stress) have contributed significant yield loss (up to 1.28% yield yr −1 ) in most parts of the research region. The yield in the west was more sensitive to heat stress, and dry stress was the main hazard in the south. Additionally, the opposite spatial pattern between the sensitivity and exposure revealed that the climate is not the only factor controlling the yield fluctuation, the local adaptation measures used to mitigate negative influences of extreme events should not be ignored. In general, this study highlighted a focus on the impacts of multi-hazards on agricultural production, and an equal importance of considering local adaptation ability during the evaluation of agricultural risk in the future. Additionally, paying more attention to higher sensitive areas and to more reasonable and practical adaptive strategies is critical and significant for food supply security.

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Contrasting impacts of two types of El Niño on the yields of early rice in Southern China

Sun

Feng

et al. 2020

Agronomy Journal

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Rice (Oryza sativa L.) production in southern China (SC) is important to Chinese food security and sensitive to climate change. This study investigates the contrasting effects of eastern Pacific (EP) El Niño and central Pacific (CP) El Niño on early rice yields in SC during boreal early summer (May-June-July, or MJJ) for the first time. During EP El Niño events, early rice yields usually exhibit a moderate increase across the entire SC region, whereas during CP El Niño events the yields decrease in about two-thirds of the region. The increase and decrease of yields correspond to .86 and 1.54% of the mean total yield during the study period, respectively. The effects of EP and CP El Niño events on early rice yields are significantly different over nearly half of the harvested areas in SC. Their difference mainly derives from the variability in rainfall associated with the two types. During MJJ, EP events are accompanied by reduced rainfall across SC, which increases early rice yields. In contrast, CP events are accompanied by increased rainfall in northeastern SC, resulting in unfavorable growing conditions. Although temperature affects early rice yields in SC, it is not the major contributor to the yield differences. Our findings highlight the importance of investigating the impacts of both types of El Niño on crop yields separately; and provide a possible climatological mechanism, linking the different locations of sea surface temperature anomalies (SSTAs) with SC early rice yields differences, through atmospheric teleconnection effects on local climatic factors.

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Temperature variations and rice yields in China: historical contributions and future trends

Cited by 82 publications

References 35 publications

Performance of Temperature-Related Weather Index for Agricultural Insurance of Three Main Crops in China

Performance of Temperature-Related Weather Index for Agricultural Insurance of Three Main Crops in China

Identifying the impact of multi-hazards on crop yield—A case for heat stress and dry stress on winter wheat yield in northern China

Contrasting impacts of two types of El Niño on the yields of early rice in Southern China

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