期刊
ECOLOGICAL INDICATORS
卷 143, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ecolind.2022.109407
关键词
Drought risk assessment; Sensibility curve; Potential exposure; Drought barycenter; Millet
资金
- National Key R & D Program of China [2019YFD1002201]
- National Natural Science Foundation of China [42077443, 41877520, U21A2040]
- Industrial technology research and development Project of Development and Reform Commission of Jilin Province [2021C044-5]
- Key Scientific and Technology Research and Development Pro- gram of Jilin Province [20200403065SF]
- Construction Project of Science and Technology Innovation Center [20210502008ZP]
Due to the improvement of living standards and the adjustment of dietary structure, the cereal industry shows excellent growth prospects. Therefore, it is of great importance to clarify the distribution and dynamic evolution characteristics of millet drought risk for guiding millet production, preventing drought risks, and ensuring food security.
Due to the improvement of living standards and the adjustment of dietary structure, the cereal industry shows excellent growth prospects. Clarifying millet drought risk distribution and determining its dynamic evolution characteristics are therefore of great importance for guiding millet production, preventing drought risks, and ensuring food security. In this study, SPRI was used to identify millet drought, and drought intensity-yield loss rate curves were constructed to characterize millet drought sensitivity. The potential exposure of millet was explored by considering millet climatic suitability and farmland proportion. In light of this, a comprehensive assessment of millet drought risk in different growth periods was made using natural disaster risk theory. The results showed that: (1) The sensitivity model for each growth period had passed the F-test of alpha = 0.05 (R-2 were 0.544, 0.408 and 0.347 respectively), reaching a significant level, which proved that the model can be used to assess millet drought sensitivity. (2) More than 70 % of Liaoning Province had a suitable climatic environment for millet production. Combined with the farmland proportion, the area with high potential exposure was distributed in the central region of Liaoning. (3) The millet drought risk in different growth periods showed a characteristic distribution of high in the northwest and low in the southeast. Among them, Chaoyang had the largest high and extremely high drought risk area in the three growth periods, accounting for 92.11 %, 99.34 % and 98.86 % respectively. At the same time, the center-of-gravity model shows that the barycenter of millet drought risk has a trend of spreading from the west of Liaoning to the northeast and southwest. To sum up, the millet drought risk area in Liaoning may increase in the future, measures should be taken to prevent and mitigate millet drought from three aspects: before, during and after the disaster.
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