欧亚大陆北部黑松鸡的数量

E. S. Ravkin, Ekaterina S. Preobrazhenskaya, Yurij S. Ravkin, Mariya I. Lyalina
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摘要

本文介绍了根据数据库(ISEA SB RAS)资料对1990年苏联境内各自然地理国家组的黑松鸡(Lyrurus tetrix L.,1758)年平均数量的估算结果。在东欧平原和西西伯利亚平原,主要从 1960 年至 2020 年,分别计算了夏季上、下半年和冬季松鸡的平均丰度值和总数,而对于自然地理学国家,则只计算夏季上半年的丰度值和总数。在两个平原地区,夏季后半期发现鸟类数量不足,通过额外计算弥补了这一不足。因此,分别在东欧平原和西西伯利亚平原获得了俄罗斯和苏联境内自然区和子区的鸟类丰度值和总数。按地貌组别分别加权平均的松鸡种群估算结果与一个自然地理国家或几个自然地理国家整个领土夏季前半期的简单平均估算结果有很大的相似性。与第一种方法相比,第二种鱼量评估方法得出的结果在 0.1 置信度范围内的平原上有所不同。在上半年夏季的自然地理国家领土组中,欧洲领土和整个乌拉尔以及西西伯利亚的黑松鸡丰度和数量的年平均值最高。中亚和哈萨克斯坦的黑松鸡数量最少。
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The Abundance оf Black Grouse in Northern Eurasia
This paper presents the estimate results of the average annual abundance of black grouse (Lyrurus tetrix L., 1758), made on the material of data bank (ISEA SB RAS) for groups of physico-geographical countries within the borders of the USSR 1990. On the East European and West Siberian plains, value of grouse abundance and total number were calculated on average separately for the first and second half of summer and in winter, mainly from 1960 to 2020, for physicogeographical countries – only for the first half of summer. The under-accounting of birds was revealed in the second half of summer on the both plains territory, which was made up with the help of additional calculations. As a result, value of the abundance and total number of birds were obtained for natural zones and subzones within Russia and the USSR, separately on the East European and West Siberian plains. A significant similarity of the grouse stock estimation results by weighted averages, separately by landscape groups, and by a simple average for the entire territory of a physico-geographical country or several of them in the first half of summer is shown. The second method of stock assessment compared with the first one gave results that differ for those plains within confidence intervals at a confidence level of 0.1. On the groups of physico-geographical countries territories in the first half of summer, the highest average annual values of the abundance and number of black grouse are appropriate of the European territory and the Urals as a whole, as well as in Western Siberia. The lowest values are typical for Central Asia and Kazakhstan.
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