The drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment

Wang, Zhiqiang; Jiang, Jingyi; Ma, Qing

doi:10.5194/nhess-16-2697-2016

Cited by 16 publications

(8 citation statements)

References 33 publications

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“…Here, we found that the law of physiological indexes of tomato changed with comprehensive intensity of HTHH, and the goodness of fit of all the curves was at the 0.01 significance level (Figure 6). In many previous studies, this kind of relationship was commonly called vulnerability curve, which can be used to assess the sensitivity and adaptability of a hazard-bearing body to adverse effects (Yue et al, 2015;Wang et al, 2016;Cui et al, 2019;Li et al, 2021). It is also an important part of disaster risk assessment.…”

Section: Discussion and Conclusion Discussionmentioning

confidence: 99%

Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth

Zhang

Yang

et al. 2022

Front. Earth Sci.

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Because of their relatively simple structures, plastic greenhouses in southern China have poor resistance to adverse external weather conditions. Adverse meteorological condition inside the greenhouse is one of the main limiting factors for facility crop production in southern China. Among them, high temperature and high humidity (HTHH) often co-occurred in greenhouses, inducing great losses. Tomatoes (Lycopersicon esculentum Mill.) are grown under protected environment worldwide. Here, characteristics of HTHH inside plastic greenhouses in southern China were analyzed and tomato was chosen as the sample facility crop to study the effects of HTHH. Daily maximum temperature and average relative humidity (RH) inside plastic greenhouses were simulated using the extreme learning machine (ELM) method to identify HTHH events. The results showed that the plastic greenhouse HTHH events mainly occurred from June to September in southern China, especially in the southernmost region. During 1990 and 2019, the occurrence times and accumulative days of the HTHH events showed a downward trend at 0.3 times/decade and 2.6 days/decade, respectively, which is mainly due to their reduction in July. HTHH affected the growth of tomato, in which high temperature plays a more important role than high RH. Days of flower bud differentiation was more sensitive to HTHH stress than other physiological indexes of tomato. With the increase of the return period of HTHH events, the corresponding losses of physiological indexes of tomato increased, except for the western region, where HTHH events rarely occurred. The results in this study could provide guidance for production and layout of greenhouse-grown tomato, and the research approach can also be applied to other greenhouse-grown crops and meteorological disasters.

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Section: Discussion and Conclusion Discussionmentioning

confidence: 99%

Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth

Zhang

Yang

et al. 2022

Front. Earth Sci.

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“…DSSAT models have been used extensively to evaluate the impact of drought on agriculture. Most use meteorological factors in combination with the yield to evaluate the impacts of drought [31,66]. Itoh et al [67] used the DSSAT to simulate the yield changes in winter wheat and then investigated the correlations between the yield and the standardized precipitation evapotranspiration index (SPEI) and soil moisture deficit index (SMDI).…”

Section: Advantages and Limitationsmentioning

confidence: 99%

“…Currently, the commonly used crop growth models include the FAO Crop Model to Simulate Yield Response to Water (AquaCrop) [27,28], Agricultural Production Systems Simulator (APSIM) [29], Environmental Policy-Integrated Climate (EPIC) [30][31][32] and Decision Support System for Agrotechnology Transfer (DSSAT) [33,34] models. Scholars use appropriate crop growth models to evaluate agricultural drought vulnerability according to the major crops in the region.…”

Section: Introductionmentioning

confidence: 99%

“…Scholars use appropriate crop growth models to evaluate agricultural drought vulnerability according to the major crops in the region. For example, Wang et al [31] concluded that the EPIC model was less sensitive to the crop yield during severe drought and was not good at modeling the soil moisture when crops were under water stress. They proposed to construct physical vulnerability curves for crops based on the water stress and yield loss contribution of the EPIC model, and then performed a vulnerability evaluation and yield loss rate risk evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Winter Wheat Drought Risk Assessment by Coupling Improved Moisture-Sensitive Crop Model and Gridded Vulnerability Curve

Yang

et al. 2023

Remote Sensing

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The crop drought risk assessment is an important basis for mitigating the effects of drought on crops. The study of drought using crop growth models is an integral part of agricultural drought risk research. The current Decision Support System for Agrotechnology Transfer (DSSAT) model is not sufficiently sensitive to moisture parameters when performing simulations, and most studies that conduct different scenario simulations to assess crop drought vulnerability are based on the site-scale. In this paper, we improved the moisture sensitivity of the Crop Environment Resource Synthesis System (CERES)-Wheat to improve the simulation accuracy of winter wheat under water stress, and then we assessed the drought intensity in the Beijing-Tianjin-Hebei region and constructed a gridded vulnerability curve. The grid vulnerability curves (1 km × 1 km) were quantitatively characterized using key points, and the drought risk distribution and zoning of winter wheat were evaluated under different return periods. The results show that the stress mechanism of coupled water and photosynthetic behavior improved the CERES-Wheat model. The accuracy of the modified model improved in terms of the above-ground biomass and yield compared with that before the modification, with increases of 20.39% and 11.45% in accuracy, respectively. The drought hazard intensity index of winter wheat in the study area from 1970 to 2019 exhibited a trend of high in the southwest and low in the southeast. The range of the multi-year average drought hazard intensity across the region was 0.29–0.61. There were some differences in the shape and characteristic covariates of the drought vulnerability curves among the different sub-zones. In terms of the cumulative loss rates, almost the entire region had a cumulative drought loss rate of 49.00–54.00%. Overall, the drought risk index decreased from west to east and from north to south under different return periods. This quantitative evaluation of the drought hazard intensity index provides a reference for agricultural drought risk evaluation.

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“…There were extensive literatures about risk assessment and zoning of agricultural meteorological disasters, e.g., flood, drought, and chilling/freezing, focusing on the probabilistic risk assessment model [19][20][21] , hazard risk or vulnerability of hazard-affected body [22][23][24][25][26] , and corresponding risk indices [27][28][29] . Current works about crop waterlogging mainly focused on the symptom identification and corresponding indices, influences on crop yields [30][31][32] , biochemical mechanism, variety screening, and genetic improvement [11,[33][34][35] .…”

Section: Introductionmentioning

confidence: 99%

Waterlogging risk assessment for winter wheat using multi-source data in the middle and lower reaches of Yangtze River

Chen¹,

Huang²,

Song³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Waterlogging is a serious agro-meteorological disaster caused by excessive soil water, which usually causes tremendous crop yield losses. The region of middle and lower reaches of Yangtze River in China is an important production base of winter wheat, and is an area prone to waterlogging. The risk assessment of winter wheat waterlogging can provide more thorough understanding about the risk-prone environment related with food safety in this region. This study combined a variety of environmental and agricultural factors and assessed the waterlogging risk of winter wheat from the aspects of sensitivity of hazard formative environments, hazard risk, and vulnerability of hazard-affected body using multi-source data. Furthermore, it constructed a compound waterlogging risk assessment model to classify the study area into high, relatively high, moderate, and low risky areas, respectively. The results showed that the proposed model could more comprehensively reflect the occurrence mechanism of winter wheat waterlogging by synchronizing geographical, agricultural, and meteorological factors. The waterlogging regionalization based on the model could reasonably represent the spatial distribution and differentiate regional characteristics of winter wheat waterlogging in the study area. et al. Waterlogging risk assessment for winter wheat using multi-source data in the middle and lower reaches of Yangtze River. Int J Agric & Biol Eng, 2018; 11(5): 198-205.

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The drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment

Cited by 16 publications

References 33 publications

Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth

Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth

Winter Wheat Drought Risk Assessment by Coupling Improved Moisture-Sensitive Crop Model and Gridded Vulnerability Curve

Waterlogging risk assessment for winter wheat using multi-source data in the middle and lower reaches of Yangtze River

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