北高加索山地景观的现代农业气候条件

Q2 Social Sciences
I. Kerimov, L. Bekmurzaeva
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To assess agro-climatic conditions, traditional agro-climatic indicators were used, such as annual and average monthly air temperatures; sums of active temperatures exceeding 5 and 10°С; dates of stable transition of the average daily air temperature through 0, 5 and 10°C in spring and autumn; the duration of the period with an average daily temperature of 0, 5, 10 ° C, the average temperature of the coldest and warmest months of the calendar year, annual precipitation, hydrothermal coefficient. The processing of the material was carried out by methods of mathematical statistics using Excel spreadsheets. Processed data on temperature and precipitation in the period from 1961 to 2020 for six meteorological stations. Research results. For the period from 1961 to 2020, within the mountain landscapes of the North Caucasus, there is an increase in annual air temperature compared to the previous period by an average of 0,5 °C. Against the background of an increase in annual temperature, such agro climatic indicators as the sum of active temperatures increased, exceeding 5o and 10oC by 6 and 13%, respectively. The stable transition of the average daily air temperature through 0, 5, 10°C has also undergone changes. In spring, on average, this happens 5, 1, 6 days earlier. Whereas in autumn, on the contrary, 3, 1, 5 days later. The duration of the period with an average daily temperature of 0, 5, 10 °C increased by an average of 10, 3, 13 days, respectively. Precipitation increased at all meteorological stations, with the exception of the Klukhorsky cross, by an average of 45 mm. The hydrothermal coefficient, which characterizes precipitation during the growing season, remained within the limits of natural fluctuation, except for the Klukhorsky cross, where it decreased due to a decrease in precipitation during the warm period. Discussion. The analysis of the agro-climatic conditions of the mountain landscapes of the North Caucasus for 1961-2020. revealed trends in the growth of annual temperature and precipitation, however, the moisture supply of the active vegetation period, estimated using the HTC, remained unchanged. Our results correlate with the official data of Rosgydromet, published in the Report on the peculiarities of the climate of the Russian Federation for 2021. Conclusion. The study allows us to state that in the mountainous landscapes of the North Caucasus, climatic changes proceed according to the scenario of an increase in air temperature and precipitation. As a result, agro-climatic indicators have changed: the sum of active temperatures has increased, exceeding 5o and 10oC and the duration of the period with an average daily temperature of 0, 5, 10oC, the dates of a stable transition through 0, 5, 10oC have changed, precipitation has increased, but the HTC has remained within the natural fluctuation . The stability of the HTC indicator indicates the stability of landscape boundaries, despite the observed changes in agro-climatic indicators. Resume. The observed climatic changes within the mountain landscapes of the North Caucasus contribute to an increase in the productivity of agricultural production by improving the conditions for heat and moisture supply to the territory. Suggestions for practical application and direction for future research. 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引用次数: 0

摘要

介绍。1976年,世界气象组织第一次正式宣布了全球变暖的问题。关于正在发生的气候变化、原因、后果和应对策略的最完整图景可以从政府间专家组的报告中获得。有许多关于区域气候变化的著作,包括北高加索地区的著作。然而,这些作品并没有反映北高加索山区的现代农业气候条件,北高加索山区占据了27%的领土,并积极参与农业。目的:分析北高加索山区在气候变化中的现代农业气候条件。材料和研究方法。为了评估农业气候条件,使用了传统的农业气候指标,如年平均气温和月平均气温;活动温度总和超过5°和10°С;春、秋季日平均气温在0、5、10℃稳定过渡的日期;日平均气温为0、5、10℃的持续时间,历年最冷和最暖月份的平均气温,年降水量,热液系数。材料的处理采用Excel电子表格的数理统计方法进行。对1961 - 2020年6个气象站的气温和降水资料进行了处理。研究的结果。1961年至2020年期间,北高加索山区的年平均气温比前一时期平均上升了0.5°C。在年平均气温升高的背景下,活跃温度总和等农业气候指标分别增加了6%和13%,超过50℃和10℃。日平均气温在0、5、10℃之间的稳定转变也发生了变化。在春天,平均提早5、1、6天。而在秋天,相反,3、1、5天之后。日平均气温为0、5、10℃的持续时间分别平均增加了10、3、13天。除Klukhorsky十字线外,所有气象站的降水平均增加了45毫米。作为生长期降水特征的热液系数,除Klukhorsky交叉线因暖期降水减少而下降外,其余均在自然波动范围内。讨论。北高加索山区1961-2020年农业气候条件分析。然而,利用HTC估算的植被活动期的水分供应基本保持不变。我们的结果与Rosgydromet的官方数据相关联,该数据发表在关于俄罗斯联邦2021年气候特性的报告中。结论。这项研究使我们能够指出,在北高加索山区,气候变化是根据气温和降水增加的情况进行的。因此,农业气候指标发生了变化:活跃温度总和增加,超过50℃和10℃,平均日温度为0、5、10℃的时间持续时间发生了变化,通过0、5、10℃稳定过渡的日期发生了变化,降水量增加,但HTC仍保持在自然波动范围内。尽管观测到农业气候指标发生了变化,但HTC指标的稳定性表明景观边界的稳定性。重新开始在北高加索山区所观察到的气候变化,通过改善向领土提供热量和水分的条件,有助于提高农业生产的生产力。对今后的研究方向和实际应用提出了建议。这项研究的结果可用于更新北高加索山区的农业区划计划,以及制定基于等高线农业的土地利用计划,从而减少不利自然现象的风险,包括气候变化引起的自然现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modern agro-climatic conditions of mountain landscapes in the North Caucasus
Introduction. For the first time, the problem of global warming was officially announced in 1976 by the World Meteorological Organization. The most complete picture of ongoing climate change, causes, consequences and response strategies can be obtained from the reports of the IPCC (intergovernmental group of experts). There are many works devoted to regional climate changes, including those in the North Caucasus. However, these works do not reflect the modern agro-climatic conditions of the mountainous landscapes of the North Caucasus which occupy 27% of the territory and are actively involved in agriculture. Aim - analysis of modern agro-climatic conditions of the mountain landscapes of the North Caucasus in a changing climate. Materials and research methods. To assess agro-climatic conditions, traditional agro-climatic indicators were used, such as annual and average monthly air temperatures; sums of active temperatures exceeding 5 and 10°С; dates of stable transition of the average daily air temperature through 0, 5 and 10°C in spring and autumn; the duration of the period with an average daily temperature of 0, 5, 10 ° C, the average temperature of the coldest and warmest months of the calendar year, annual precipitation, hydrothermal coefficient. The processing of the material was carried out by methods of mathematical statistics using Excel spreadsheets. Processed data on temperature and precipitation in the period from 1961 to 2020 for six meteorological stations. Research results. For the period from 1961 to 2020, within the mountain landscapes of the North Caucasus, there is an increase in annual air temperature compared to the previous period by an average of 0,5 °C. Against the background of an increase in annual temperature, such agro climatic indicators as the sum of active temperatures increased, exceeding 5o and 10oC by 6 and 13%, respectively. The stable transition of the average daily air temperature through 0, 5, 10°C has also undergone changes. In spring, on average, this happens 5, 1, 6 days earlier. Whereas in autumn, on the contrary, 3, 1, 5 days later. The duration of the period with an average daily temperature of 0, 5, 10 °C increased by an average of 10, 3, 13 days, respectively. Precipitation increased at all meteorological stations, with the exception of the Klukhorsky cross, by an average of 45 mm. The hydrothermal coefficient, which characterizes precipitation during the growing season, remained within the limits of natural fluctuation, except for the Klukhorsky cross, where it decreased due to a decrease in precipitation during the warm period. Discussion. The analysis of the agro-climatic conditions of the mountain landscapes of the North Caucasus for 1961-2020. revealed trends in the growth of annual temperature and precipitation, however, the moisture supply of the active vegetation period, estimated using the HTC, remained unchanged. Our results correlate with the official data of Rosgydromet, published in the Report on the peculiarities of the climate of the Russian Federation for 2021. Conclusion. The study allows us to state that in the mountainous landscapes of the North Caucasus, climatic changes proceed according to the scenario of an increase in air temperature and precipitation. As a result, agro-climatic indicators have changed: the sum of active temperatures has increased, exceeding 5o and 10oC and the duration of the period with an average daily temperature of 0, 5, 10oC, the dates of a stable transition through 0, 5, 10oC have changed, precipitation has increased, but the HTC has remained within the natural fluctuation . The stability of the HTC indicator indicates the stability of landscape boundaries, despite the observed changes in agro-climatic indicators. Resume. The observed climatic changes within the mountain landscapes of the North Caucasus contribute to an increase in the productivity of agricultural production by improving the conditions for heat and moisture supply to the territory. Suggestions for practical application and direction for future research. The results of the study can be useful for updating the schemes of agricultural zoning of the mountainous territories of the North Caucasus, as well as for developing land use schemes based on contour farming, which reduces the risks of adverse natural phenomena, including those caused by climate change.
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来源期刊
Sustainable Development of Mountain Territories
Sustainable Development of Mountain Territories Social Sciences-Sociology and Political Science
CiteScore
2.40
自引率
0.00%
发文量
36
期刊介绍: International scientific journal "Sustainable development of mountain territories" covers fundamental and applied regional, national and international research and provides a platform to publish original full papers and related reviews in the following areas: engineering science and Earth science in the field of sustainable development of mountain territories. Main objectives of international scientific journal "Sustainable development of mountain territories" are: raising the level of professional scientific workers, teachers of higher educational institutions and scientific organizations; presentation of research results in the field of sustainable development of mountain areas on the technical aspects and Earth sciences, informing readers about the results of Russian and international scientific forums; improved review and editing of the articles submitted for publication; ensuring wide dissemination for the published articles in the international academic environment; encouraging dissemination and indexing of scientific works in various foreign key citation databases.
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