Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Dec 2016
Research article |
| 15 Dec 2016
The drought risk of maize in the farming–pastoral ecotone in Northern China based on physical vulnerability assessment
Zhiqiang Wang
National Disaster Reduction Center/Satellite Application Center for
Disaster Reduction of the Ministry of Civil Affairs, Beijing 100124, China
Key Laboratory of Disaster Reduction and Emergency Response, Ministry
of Civil Affairs, Beijing 100124, China
Jingyi Jiang
CORRESPONDING AUTHOR
Key Laboratory of Disaster Reduction and Emergency Response, Ministry
of Civil Affairs, Beijing 100124, China
INRA-EMMAH UMR 1114, 84914 Avignon, France
Qing Ma
College of Geography, Beijing Normal University, Beijing 100875, China
Chongqing No.18 High School, Chongqing 400020, China
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Cited
16 citations as recorded by crossref.
- Agricultural drought risk assessments: a comprehensive review of indicators, algorithms, and validation for informed adaptations T. Le et al. 10.1080/19475705.2024.2383774
- Occupational health and safety in the construction industry: a comprehensive review with emphasis on Nigeria Y. Labaran et al. 10.31127/tuje.1471660
- Drought vulnerability assessment for maize in the semiarid region of northwestern China Y. Wang et al. 10.1007/s00704-020-03138-y
- Drought disaster risks under CMIP5 RCP scenarios in Ningxia Hui Autonomous Region, China C. Tan et al. 10.1007/s11069-019-03811-0
- Grain Risk Analysis of Meteorological Disasters in Gansu Province Using Probability Statistics and Index Approaches J. Wang et al. 10.3390/su15065266
- System Structure–Based Drought Disaster Risk Assessment Using Remote Sensing and Field Experiment Data Y. Cui et al. 10.3390/rs14225700
- Risk Assessment of Maize Yield Losses in Gansu Province Based on Spatial Econometric Analysis F. Fang et al. 10.3390/agriculture13071280
- Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth Q. Zhang et al. 10.3389/feart.2022.848924
- Assessing the vulnerability of food supply chains to climate change-induced disruptions R. Tchonkouang et al. 10.1016/j.scitotenv.2024.171047
- Drought risk and water resources assessment in the Beijing-Tianjin-Hebei region, China Q. Li et al. 10.1016/j.scitotenv.2022.154915
- Land cover mapping based on time‐series MODIS‐NDVI using a dynamic time warping approach: A casestudy of the agricultural pastoral ecotone of northern China B. Wei et al. 10.1002/ldr.3502
- Evaluating Ecosystem Services and Trade-Offs Based on Land-Use Simulation: A Case Study in the Farming–Pastoral Ecotone of Northern China S. Bai et al. 10.3390/land11071115
- Winter Wheat Drought Risk Assessment by Coupling Improved Moisture-Sensitive Crop Model and Gridded Vulnerability Curve H. Yang et al. 10.3390/rs15123197
- Review of application of EPIC crop growth model Z. Wang et al. 10.1016/j.ecolmodel.2022.109952
- Projection of future drought impacts on millet yield in northern Shanxi of China using ensemble machine learning approach S. Zhou et al. 10.1016/j.compag.2024.108725
- The triple complexity of drought risk analysis and its visualisation via mapping: a review across scales and sectors V. Blauhut 10.1016/j.earscirev.2020.103345
16 citations as recorded by crossref.
- Agricultural drought risk assessments: a comprehensive review of indicators, algorithms, and validation for informed adaptations T. Le et al. 10.1080/19475705.2024.2383774
- Occupational health and safety in the construction industry: a comprehensive review with emphasis on Nigeria Y. Labaran et al. 10.31127/tuje.1471660
- Drought vulnerability assessment for maize in the semiarid region of northwestern China Y. Wang et al. 10.1007/s00704-020-03138-y
- Drought disaster risks under CMIP5 RCP scenarios in Ningxia Hui Autonomous Region, China C. Tan et al. 10.1007/s11069-019-03811-0
- Grain Risk Analysis of Meteorological Disasters in Gansu Province Using Probability Statistics and Index Approaches J. Wang et al. 10.3390/su15065266
- System Structure–Based Drought Disaster Risk Assessment Using Remote Sensing and Field Experiment Data Y. Cui et al. 10.3390/rs14225700
- Risk Assessment of Maize Yield Losses in Gansu Province Based on Spatial Econometric Analysis F. Fang et al. 10.3390/agriculture13071280
- Characteristics of Plastic Greenhouse High-Temperature and High-Humidity Events and Their Impacts on Facility Tomatoes Growth Q. Zhang et al. 10.3389/feart.2022.848924
- Assessing the vulnerability of food supply chains to climate change-induced disruptions R. Tchonkouang et al. 10.1016/j.scitotenv.2024.171047
- Drought risk and water resources assessment in the Beijing-Tianjin-Hebei region, China Q. Li et al. 10.1016/j.scitotenv.2022.154915
- Land cover mapping based on time‐series MODIS‐NDVI using a dynamic time warping approach: A casestudy of the agricultural pastoral ecotone of northern China B. Wei et al. 10.1002/ldr.3502
- Evaluating Ecosystem Services and Trade-Offs Based on Land-Use Simulation: A Case Study in the Farming–Pastoral Ecotone of Northern China S. Bai et al. 10.3390/land11071115
- Winter Wheat Drought Risk Assessment by Coupling Improved Moisture-Sensitive Crop Model and Gridded Vulnerability Curve H. Yang et al. 10.3390/rs15123197
- Review of application of EPIC crop growth model Z. Wang et al. 10.1016/j.ecolmodel.2022.109952
- Projection of future drought impacts on millet yield in northern Shanxi of China using ensemble machine learning approach S. Zhou et al. 10.1016/j.compag.2024.108725
- The triple complexity of drought risk analysis and its visualisation via mapping: a review across scales and sectors V. Blauhut 10.1016/j.earscirev.2020.103345
Latest update: 20 Nov 2024
Short summary
We established a preliminary theoretical methodology and an operational approach for assessing drought risk of maize based on a physical vulnerability curve using the EPIC model to further understand the hazard mechanisms of drought. Based on the assumption that all maize was exposed to drought hazard, the risk assessment of agricultural drought of the farming–pastoral ecotone in Northern China was conducted from the drought hazard index and physical vulnerability curve.
We established a preliminary theoretical methodology and an operational approach for assessing...
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