School of Environment, Northeast Normal University, Changchun, 130024, China.
Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun, 130117, China.
Sci Rep. 2022 Jul 5;12(1):11350. doi: 10.1038/s41598-022-15465-3.
The climate changes influence the growing suitability of peanut, an important oil crop. Climatic suitability evaluation in the Huang-Huai-Hai region, the main peanut producing region of China, which can optimize peanut planting structure and provide basis for increasing output. In this study, the temperature, precipitation, sunshine and comprehensive suitability models were established by using the climatic suitability function in different growth periods of peanut. In this study, the climate suitability function of peanut in different growth periods was used to establish the temperature, precipitation, sunshine and comprehensive suitability model. Combined with the meteorological data after Anusplin interpolation, the spatial distribution and chronological change of peanut climate suitability were analyzed. The results show that with climate change, the overall climate becomes warmer and drier and the temperature and precipitation suitability increase, but the sunshine suitability decreases. Based on the comprehensive suitability model, the suitability evaluation results are divided into four levels: the most suitable, suitable, sub-suitable and unsuitable. Among them, the most suitable peanut planting areas in the Huang-Huai-Hai region are concentrated in the west of the Haihe River Basin and the Huaihe River Basin. The data from the next 30 years show that both the most suitable and suitable areas have been expanded. Through the verification of yield correlation analysis and spatial distribution of disaster frequency, it can be seen that the evaluation results have high accuracy, which can be used to guide and optimize peanut production practices.
气候变化影响花生生长的适宜性,花生是一种重要的油料作物。对中国主要花生产区——黄淮海地区的气候适宜性进行评估,可以优化花生种植结构,提高产量。本研究利用花生不同生育期的气候适宜性函数,建立了温度、降水、日照和综合适宜性模型。结合 Anusplin 插值后的气象数据,分析了花生气候适宜性的空间分布和时间变化。结果表明,随着气候变化,整体气候变暖变干,温度和降水适宜性增加,但日照适宜性降低。基于综合适宜性模型,将适宜性评价结果分为最适宜、适宜、次适宜和不适宜四个等级。其中,黄淮海地区最适宜种植花生的地区集中在海河流域西部和淮河流域。未来 30 年的数据表明,最适宜和适宜地区的面积都在扩大。通过产量相关分析和灾害频率的空间分布验证,评估结果具有较高的准确性,可用于指导和优化花生生产实践。