Abstract
In order to solve a complex of acute problems and move towards sustainable development of the hunting economy in Russia, it is necessary to improve the accuracy and objectivity of data on the number of game animals. Existing methods of counting the number are based on direct recalculation or analysis of certain indirect evidence of their vital activity. Technologies of predictive analytics and analysis of big data obtained as a result of animal counts (both traditional and digital methods) can potentially lead to new data on daily routes, activity, distribution of animals depending on the characteristics of the territory, which will significantly increase the accuracy of counts in further. Studies of the number of game animals in small areas were carried out in January-February 2019 and 2020. Using the method of digital accounting, the number of game animals in the territories of the Kemerovo regional public organization "Hunting Society "Muryukskoye"" (JSC "Hunting Society "Muryukskoye"" and hunting farms "Taydonskoye" and LLC "Hunting farm "Shestakovskoye"" was analyzed. An underestimated declared according to the results of winter route counts of the number of most species of game animals in the Muryukskoye Hunting Society and the Taydonskoye hunting farm. It was found in Shestakovskoye Hunting Farm LLC that the results for ungulates and wild boar, which the farm specializes in breeding, have a fairly high accuracy However, for those species that Shestakovskoye Hunting Farm LLC does not specialize in, the accuracy of accounting is lower. The identified underestimation of some predatory animals can lead to risks for populations of many species.
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