气候变化对主要农作物种植面积的影响

Pub Date : 2022-04-29 DOI:10.15407/knit2022.02.030
M.O. Yemelyanov, A. Shelestov, H. Yailymova, L. Shumilo
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引用次数: 0

摘要

本文对20年(1998 - 2020年)主要作物种植面积的时间序列进行了统计分析,分析了农业气候带对主要作物种植面积的影响。乌克兰南部地区明显感受到气候变化,气温、降水和其他极端天气事件的变化增加了农业部门的生产风险。历史气候数据表明,乌克兰领土上的温度在上升,气候预报表明进一步变暖,特别是在乌克兰南部。利用卫星和统计数据,对某些地区的地表变化进行了调查,这些地区的主要作物类型的作物面积变化最大。为了分析耕地面积与气候带的动态关系,我们使用了1998-2019年的国家统计数据、2016-2020年的土地覆盖分类图、2000年和2020年乌克兰境内的气候带数据,以及NUTS2级别的行政单位等高线。由于领土划界改革,许多地区无法获得2019-2020年的统计数据,因此我们使用开放卫星记录获得的耕地面积。作为面积分析的补充和替代信息,使用了乌克兰国家科学院空间研究所和乌克兰国家航天局的专家从他们自己的深度培训技术中获得的2016-2020年作物分类图。我们使用了哥白尼计划开放卫星数据获得的分类地图:SAR Sentinel-1和Sentinel-2,空间分辨率为10 m。采用相关系数(r)的统计分析度量对卫星数据统计数据与作物面积进行比较,并采用主要作物统计面积与卫星数据统计面积的决定系数R2来评估准确性
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Impact of climate change on the area of major crops
In this work, a statistical analysis of the time series of areas of majoritarian crops for 20 years (from 1998 to 2020) is carried out, and the influence of agro-climatic zones on the area of cultivation of major crops is analyzed. Climate change is acutely felt in the southern regions of Ukraine, increasing the production risk in the agricultural sector through changes in temperature, precipitation, and other extreme weather events. Historical climatic data indicate an increase in temperature on the territory of Ukraine, and climate forecasts suggest further warming, especially in the south of Ukraine. Using satellite and statistical data, changes in the earth’s surface are investigated for certain areas, which are characterized by the greatest changes in crop areas for the main types of crops. To analyze the dynamics of cultivated areas in relation to climatic zones, we used national statistical data for 1998—2019, maps of the classification of land cover from 2016—2020, data on climatic zones on the territory of Ukraine for 2000 and 2020, as well as the contours of administrative units of the NUTS2 level. Since statistical data for many districts are not available for the period 2019—2020 due to the reform of territorial boundaries, we used instead cultivated areas obtained from open satellite records. As additional and alternative information for the analysis of acreage, crop classification maps for 2016—2020 were used, obtained by specialists of the Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine from their own in-depth training technologies. We used classification maps obtained using open satellite data of the Copernicus program: SAR Sentinel-1 and Sentinel-2 with a spatial resolution of 10 m. A comparison of statistical data and crop areas obtained from satellite data was carried out by applying the metric of statistical analysis of the correlation coefficient (r). To assess the accuracy, the coefficient of determination R2 between the statistical area of the main crops and the area according to satellite data was also applied
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