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Dynamic Evaluation and Regionalization of Maize Drought Vulnerability in the Midwest of Jilin Province

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  • Ying Guo

    (School of Environment, Northeast Normal University, Changchun 130024, China
    Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Rui Wang

    (School of Environment, Northeast Normal University, Changchun 130024, China
    Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Zhijun Tong

    (School of Environment, Northeast Normal University, Changchun 130024, China
    Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Xingpeng Liu

    (School of Environment, Northeast Normal University, Changchun 130024, China
    Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

  • Jiquan Zhang

    (School of Environment, Northeast Normal University, Changchun 130024, China
    Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China
    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China)

Abstract

Drought vulnerability analysis of crops can build a bridge between hazard factors and disasters and become the main tool to mitigate the impact of drought. However, the resulting disagreement about the appropriate definition of vulnerability is a frequent cause for misunderstanding and a challenge for attempts to develop formal models of vulnerability. This paper presents a generally applicable conceptual framework of vulnerability that combines a nomenclature of vulnerable situations and a terminology of vulnerability based on the definition in the intergovernmental panel on climate change (IPCC) report. By selecting 10 indicators, the drought disaster vulnerability assessment model is established from four aspects. In order to verify our model, we present a case study of maize drought vulnerability in the Midwest of the Jilin Province. Our analysis reveals the relationship between each single factor evaluation indicator and drought vulnerability, as well as each indicator to every other indicator. The results show that the drought disturbing degree in different growth periods increases from the central part of the Jilin Province to the western part of the Jilin Province. The sensitivity degree showed an increasing trend from the southeast to the northwest. The places with the strongest self-recovery ability are mainly concentrated in Changchun, Siping, Baicheng, and the other area. The ability to adjust to drought in each growth period is weak and crop yield reduction caused by drought is easy to create. Environmental adaptability is closely related to the social and economic situation every year, so it changes greatly and is flexible. Areas with strong drought vulnerability are mainly concentrated in Baicheng, Tongyu, and Qianguo. The research results can provide a certain basis for risk assessment, early warning, and disaster prevention and mitigation of agricultural drought disaster in the research area.

Suggested Citation

  • Ying Guo & Rui Wang & Zhijun Tong & Xingpeng Liu & Jiquan Zhang, 2019. "Dynamic Evaluation and Regionalization of Maize Drought Vulnerability in the Midwest of Jilin Province," Sustainability, MDPI, vol. 11(15), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4234-:d:254941
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    References listed on IDEAS

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    1. Jiansheng Wu & Xin Lin & Meijuan Wang & Jian Peng & Yuanjie Tu, 2017. "Assessing Agricultural Drought Vulnerability by a VSD Model: A Case Study in Yunnan Province, China," Sustainability, MDPI, vol. 9(6), pages 1-16, May.
    2. Hao Guo & Xingming Zhang & Fang Lian & Yuan Gao & Degen Lin & Jing’ai Wang, 2016. "Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize," Sustainability, MDPI, vol. 8(8), pages 1-22, August.
    3. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
    4. Enliang Guo & Jiquan Zhang & Yongfang Wang & Ha Si & Feng Zhang, 2016. "Dynamic risk assessment of waterlogging disaster for maize based on CERES-Maize model in Midwest of Jilin Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1747-1761, September.
    5. Kiumars Zarafshani & Lida Sharafi & Hossein Azadi & Steven Van Passel, 2016. "Vulnerability Assessment Models to Drought: Toward a Conceptual Framework," Sustainability, MDPI, vol. 8(6), pages 1-21, June.
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    Cited by:

    1. Yining Ma & Suri Guga & Jie Xu & Jiquan Zhang & Zhijun Tong & Xingpeng Liu, 2021. "Comprehensive Risk Assessment of High Temperature Disaster to Kiwifruit in Shaanxi Province, China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    2. Hongpeng Guo & Jia Chen & Chulin Pan, 2021. "Assessment on Agricultural Drought Vulnerability and Spatial Heterogeneity Study in China," IJERPH, MDPI, vol. 18(9), pages 1-17, April.

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