Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sergey S. Ogurtsov"'
Autor:
Sergey S. Ogurtsov
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 8, Iss 2, Pp 1-21 (2023)
This paper presents the results of estimating the population density and abundance of Ursus arctos (hereinafter – brown bear) in the Southern Forestry of the Central Forest State Nature Biosphere Reserve (CFNR), West of European Russia, in 2021 bas
Externí odkaz:
https://doaj.org/article/ff3d514deba34d1585239ffc7ad68c61
Autor:
Sergey S. Ogurtsov
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 8, Iss 1, Pp 1-23 (2023)
Estimating the population density of mammals has long been one of the problematic tasks of both fundamental population ecology and practical programmes for their conservation and management. The majority of methods for population density estimation u
Externí odkaz:
https://doaj.org/article/03e5b3f83cf347c6a5d48ddcdd03d18c
Autor:
Alexander B. Ruchin, Jacob Koopman, Sergey S. Ogurtsov, Oleg G. Grishutkin, Anatoliy A. Khapugin
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 7, Iss 4, Pp 1-30 (2022)
The journal «Nature Conservation Research» (hereinafter – journal NCR) was founded in 2016. It is published by the Fund for Support and Development of Protected Areas «Bear Land». This review paper is aimed to characterise the first five years
Externí odkaz:
https://doaj.org/article/9ace6a8ceec941c2943e287d62ad5aeb
Autor:
Sergey S. Ogurtsov
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 5, Iss 3, Pp 86-113 (2020)
The article presents the results of ecological niche and habitat suitability modelling of Ursus arctos, performed in the Central Forest State Nature Reserve and its buffer zone (Tver region, Russia), using the GNESFA factor analysis method. Briefly d
Externí odkaz:
https://doaj.org/article/05aa4c4a87204d818b92623cba323793
Autor:
Sergey S. Ogurtsov
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 4, Iss 4, Pp 34-64 (2019)
The article presents results of the brown bear habitat suitability and distribution modelling, conducted in the Central Forest Nature Reserve and its buffer zone (West-European Russia, Tver region) using the MaxEnt approach. The basic rules for perfo
Externí odkaz:
https://doaj.org/article/ccb0cc99e3ad43f1a646a52408a1ef5c
Autor:
Sergey S. Ogurtsov, Elena F. Sitnikova
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 4, Iss 4, Pp 114-118 (2019)
On 30 September – 4 October 2019, the First school-seminar on camera traps in European Russia was held in the «Bryansk Forest» State Nature Reserve (Russia). Thirty-five specialists from Protected Areas, institutes of RAS, universities, NGOs, and
Externí odkaz:
https://doaj.org/article/30c5bb1108c847428dd90a84fa9eec27
Autor:
Sergey S. Ogurtsov
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 4, Iss 2, Pp 95-124 (2019)
This article is a continuation of the review of software for storing, processing and analysing data from camera traps. The review includes the latest software for processing data from camera traps that have appeared in recent years, as well as some a
Externí odkaz:
https://doaj.org/article/c5857259f1ee4ee9a594f27da4be3ce4
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 3, Iss 2, Pp 68-88 (2018)
Here are presented the results of the analysis of daily activity patterns obtained from the data of camera traps for five large mammals (elk Alces alces, wild boar Sus scrofa, brown bear Ursus arctos, grey wolf Canis lupus, Eurasian lynx Lynx lynx) a
Externí odkaz:
https://doaj.org/article/1380487e706d4339a705e2c57b6b6b98
Publikováno v:
Nature Conservation Research: Заповедная наука, Vol 2, Iss 1, Pp 73-98 (2017)
An overview of the main problems in collection, storage, processing and analysis of data obtained by camera traps is conducted. Basing on reviewed national papers related to this theme, the conclusion is drawn that there is need for a detailed descri
Externí odkaz:
https://doaj.org/article/30dce08f3e3e4903ba164a2f3070907b
Publikováno v:
Nature Conservation Research: Zapovednaâ Nauka, Vol 5, Iss 3, Pp 86-113 (2020)
The article presents the results of ecological niche and habitat suitability modelling of Ursus arctos, performed in the Central Forest State Nature Reserve and its buffer zone (Tver region, Russia), using the GNESFA factor analysis method. Briefly d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfd8c7824a2bf4f2cd64657f8119d8fa
http://ncr-journal.bear-land.org/article/279
http://ncr-journal.bear-land.org/article/279