Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia

Common shrew population dynamics (17 517 kill trap-days) and its habitat preferences in mid-taiga ecosystems of southern Karelia (Gomselga Village, Kondopoga District) were studied from 1994 to 2014. By interpreting satellite images from 11 years (1970, 1973, 1975, 1984, 1986, 1989, 2001, 2003, 2005...

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Published in:Proceedings of the Karelian Research Centre of the Russian Academy of Sciences
Main Authors: Tatiana Guseva, Andrey Korosov
Format: Article in Journal/Newspaper
Language:English
Russian
Published: Karelian Research Centre of the Russian Academy of Sciences 2015
Subjects:
Q
Online Access:https://doi.org/10.17076/eco210
https://doaj.org/article/bcd2208991be4e25b10d989d9296a1e6
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spelling ftdoajarticles:oai:doaj.org/article:bcd2208991be4e25b10d989d9296a1e6 2023-05-15T18:30:49+02:00 Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia Tatiana Guseva Andrey Korosov 2015-12-01T00:00:00Z https://doi.org/10.17076/eco210 https://doaj.org/article/bcd2208991be4e25b10d989d9296a1e6 EN RU eng rus Karelian Research Centre of the Russian Academy of Sciences http://journals.krc.karelia.ru/index.php/ecology/article/view/210 https://doaj.org/toc/1997-3217 https://doaj.org/toc/2312-4504 1997-3217 2312-4504 doi:10.17076/eco210 https://doaj.org/article/bcd2208991be4e25b10d989d9296a1e6 Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 4, Pp 100-107 (2015) common shrew habitat distribution conversion of population measures statistical estimate habitat fidelity index Science Q article 2015 ftdoajarticles https://doi.org/10.17076/eco210 2022-12-31T02:41:58Z Common shrew population dynamics (17 517 kill trap-days) and its habitat preferences in mid-taiga ecosystems of southern Karelia (Gomselga Village, Kondopoga District) were studied from 1994 to 2014. By interpreting satellite images from 11 years (1970, 1973, 1975, 1984, 1986, 1989, 2001, 2003, 2005, 2009, 2013) we managed to track the succession stages of nine habitat types and assign each of the 219 installed lines of traps to them. The parameters of animal abundance were transformed for statistical analysis. The fifth root was taken from the obtained estimates of abundance. Then, the values calculated individually for each year for every habitat type were centered around the common regional average value and normalized by regional standard deviation. We obtained the normal distribution of the derivative indices. By means of variance analysis and construction of confidence intervals it was statistically proved that fresh, young and overgrowing felled sites, young forests were the most preferred habitat types for the animals in August. Meadows and mires, mixed and coniferous forests were the least attractive habitats. Article in Journal/Newspaper taiga Directory of Open Access Journals: DOAJ Articles Proceedings of the Karelian Research Centre of the Russian Academy of Sciences 4 100
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Russian
topic common shrew
habitat distribution
conversion of population measures
statistical estimate
habitat fidelity index
Science
Q
spellingShingle common shrew
habitat distribution
conversion of population measures
statistical estimate
habitat fidelity index
Science
Q
Tatiana Guseva
Andrey Korosov
Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
topic_facet common shrew
habitat distribution
conversion of population measures
statistical estimate
habitat fidelity index
Science
Q
description Common shrew population dynamics (17 517 kill trap-days) and its habitat preferences in mid-taiga ecosystems of southern Karelia (Gomselga Village, Kondopoga District) were studied from 1994 to 2014. By interpreting satellite images from 11 years (1970, 1973, 1975, 1984, 1986, 1989, 2001, 2003, 2005, 2009, 2013) we managed to track the succession stages of nine habitat types and assign each of the 219 installed lines of traps to them. The parameters of animal abundance were transformed for statistical analysis. The fifth root was taken from the obtained estimates of abundance. Then, the values calculated individually for each year for every habitat type were centered around the common regional average value and normalized by regional standard deviation. We obtained the normal distribution of the derivative indices. By means of variance analysis and construction of confidence intervals it was statistically proved that fresh, young and overgrowing felled sites, young forests were the most preferred habitat types for the animals in August. Meadows and mires, mixed and coniferous forests were the least attractive habitats.
format Article in Journal/Newspaper
author Tatiana Guseva
Andrey Korosov
author_facet Tatiana Guseva
Andrey Korosov
author_sort Tatiana Guseva
title Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
title_short Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
title_full Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
title_fullStr Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
title_full_unstemmed Common Shrew (Sorex araneus (Linnaeus, 1758)) distribution across mosaic landscapes of Southern Karelia
title_sort common shrew (sorex araneus (linnaeus, 1758)) distribution across mosaic landscapes of southern karelia
publisher Karelian Research Centre of the Russian Academy of Sciences
publishDate 2015
url https://doi.org/10.17076/eco210
https://doaj.org/article/bcd2208991be4e25b10d989d9296a1e6
genre taiga
genre_facet taiga
op_source Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 4, Pp 100-107 (2015)
op_relation http://journals.krc.karelia.ru/index.php/ecology/article/view/210
https://doaj.org/toc/1997-3217
https://doaj.org/toc/2312-4504
1997-3217
2312-4504
doi:10.17076/eco210
https://doaj.org/article/bcd2208991be4e25b10d989d9296a1e6
op_doi https://doi.org/10.17076/eco210
container_title Proceedings of the Karelian Research Centre of the Russian Academy of Sciences
container_issue 4
container_start_page 100
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