Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests

We analyse the relationships between the main Cervidae [moose (Alces alces), red deer (Cervus elaphus) and roe deer (Capreolus capreolus)] species and a complex of environmental factors in an extensive fragmented landscape of Central Lithuania. The highest determining positive influence on moose den...

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Published in:European Journal of Forest Research
Main Authors: Brazaitis, Gediminas, Pėtelis, Kęstutis, Žalkauskas, Remigijus, Belova, Olgirda, Danusevičius, Darius, Marozas, Vitas, Narauskaitė, Gintarė
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:http://asu.lvb.lt/ASU:ELABAPDB2917360&prefLang=en_US
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spelling ftlitinstagrecon:oai:elaba:2917360 2023-05-15T13:13:19+02:00 Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests Brazaitis, Gediminas Pėtelis, Kęstutis Žalkauskas, Remigijus Belova, Olgirda Danusevičius, Darius Marozas, Vitas Narauskaitė, Gintarė 2014 http://asu.lvb.lt/ASU:ELABAPDB2917360&prefLang=en_US eng eng info:eu-repo/semantics/altIdentifier/doi/10.1007/s10342-014-0802-x http://asu.lvb.lt/ASU:ELABAPDB2917360&prefLang=en_US European Journal of Forest Research, 2014, Vol. 133, iss. 5, p. 857-869 ISSN 1612-4669 Moose Red deer Roe deer Landscape Forest Human disturbance info:eu-repo/semantics/article 2014 ftlitinstagrecon https://doi.org/10.1007/s10342-014-0802-x 2021-12-02T00:31:39Z We analyse the relationships between the main Cervidae [moose (Alces alces), red deer (Cervus elaphus) and roe deer (Capreolus capreolus)] species and a complex of environmental factors in an extensive fragmented landscape of Central Lithuania. The highest determining positive influence on moose density was the proportions of wet forest sites. In forest complexes with fewer proportions of wet sites, the most important factor was the total forest area. The proportion of shrub cover, upland and dense undergrowth area, and road density also has significant effect on moose density. The total area of forest complexes has the highest determining positive influence on red deer density. The highest density of red deer was calculated in large forest complexes (>2,745 ha) with a <17.6 % proportion of pine and <36.5 % of deciduous forests. Other significant factors were core area, road density and urbanization level. Forest edge density has the highest influence on the roe deer populations. The highest density of roe deer was recorded on forest areas with >51 m ha−1 of edges in wet forest (>25.4 %) dominating areas. The proportion of deciduous, coniferous mixed and pine forest, also shrub and density of edges also had significant effect. Article in Journal/Newspaper Alces alces LAEI VL (Lithuanian Institute of Agrarian Economics Virtual Library) European Journal of Forest Research 133 5 857 869
institution Open Polar
collection LAEI VL (Lithuanian Institute of Agrarian Economics Virtual Library)
op_collection_id ftlitinstagrecon
language English
topic Moose
Red deer
Roe deer
Landscape
Forest
Human disturbance
spellingShingle Moose
Red deer
Roe deer
Landscape
Forest
Human disturbance
Brazaitis, Gediminas
Pėtelis, Kęstutis
Žalkauskas, Remigijus
Belova, Olgirda
Danusevičius, Darius
Marozas, Vitas
Narauskaitė, Gintarė
Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
topic_facet Moose
Red deer
Roe deer
Landscape
Forest
Human disturbance
description We analyse the relationships between the main Cervidae [moose (Alces alces), red deer (Cervus elaphus) and roe deer (Capreolus capreolus)] species and a complex of environmental factors in an extensive fragmented landscape of Central Lithuania. The highest determining positive influence on moose density was the proportions of wet forest sites. In forest complexes with fewer proportions of wet sites, the most important factor was the total forest area. The proportion of shrub cover, upland and dense undergrowth area, and road density also has significant effect on moose density. The total area of forest complexes has the highest determining positive influence on red deer density. The highest density of red deer was calculated in large forest complexes (>2,745 ha) with a <17.6 % proportion of pine and <36.5 % of deciduous forests. Other significant factors were core area, road density and urbanization level. Forest edge density has the highest influence on the roe deer populations. The highest density of roe deer was recorded on forest areas with >51 m ha−1 of edges in wet forest (>25.4 %) dominating areas. The proportion of deciduous, coniferous mixed and pine forest, also shrub and density of edges also had significant effect.
format Article in Journal/Newspaper
author Brazaitis, Gediminas
Pėtelis, Kęstutis
Žalkauskas, Remigijus
Belova, Olgirda
Danusevičius, Darius
Marozas, Vitas
Narauskaitė, Gintarė
author_facet Brazaitis, Gediminas
Pėtelis, Kęstutis
Žalkauskas, Remigijus
Belova, Olgirda
Danusevičius, Darius
Marozas, Vitas
Narauskaitė, Gintarė
author_sort Brazaitis, Gediminas
title Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
title_short Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
title_full Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
title_fullStr Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
title_full_unstemmed Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests
title_sort landscape effect for the cervidaes cervidae in human-dominated fragmented forests
publishDate 2014
url http://asu.lvb.lt/ASU:ELABAPDB2917360&prefLang=en_US
genre Alces alces
genre_facet Alces alces
op_source European Journal of Forest Research, 2014, Vol. 133, iss. 5, p. 857-869
ISSN 1612-4669
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1007/s10342-014-0802-x
http://asu.lvb.lt/ASU:ELABAPDB2917360&prefLang=en_US
op_doi https://doi.org/10.1007/s10342-014-0802-x
container_title European Journal of Forest Research
container_volume 133
container_issue 5
container_start_page 857
op_container_end_page 869
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