Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution

The main task of this paper was to explore some aspects for landscape structure evaluation in order to determine various indicators of landscape structure what might influence the Moose and Red Deer distribution. GiS technologies, Morphological Spalial Pattern Analysis were used to derive landscape...

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Main Authors: Pėtelis, Kęstutis, Brazaitis, Gediminas, Žalkauskas, Remigijus
Format: Article in Journal/Newspaper
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/20.500.12259/82034
id ftvytmagnusuniv:oai:portalcris.vdu.lt:20.500.12259/82034
record_format openpolar
spelling ftvytmagnusuniv:oai:portalcris.vdu.lt:20.500.12259/82034 2023-05-15T13:13:34+02:00 Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution Pėtelis, Kęstutis Brazaitis, Gediminas Žalkauskas, Remigijus LT 2009 p. 180-185 https://hdl.handle.net/20.500.12259/82034 en eng Rural development 2009 : 4th international scientific conference, 15-17 October, 2009, Akademija, Kaunas region, Lithuania : proceedings. Akademija : Lithuanian University of Agriculture, Vol. 4, b. 2 (2009) Conference Proceedings Citation Index - Science (Web of Science) Conference Proceedings Citation Index - Social Science & Humanities (Web of Science) 18223230 VDU02-000043576 https://hdl.handle.net/20.500.12259/82034 Moose Red Deer Landscape structure MSPA Partial RDA Tree model Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a) Miškotyra / Forestry (A004) research article 2009 ftvytmagnusuniv https://doi.org/20.500.12259/82034 2021-09-06T23:48:33Z The main task of this paper was to explore some aspects for landscape structure evaluation in order to determine various indicators of landscape structure what might influence the Moose and Red Deer distribution. GiS technologies, Morphological Spalial Pattern Analysis were used to derive landscape structure indicators in cervine animals districts. Partial Redundancy analysis, tree model analysis were used to verify the relation of region and forest level landscape structure indicators with the Moose and Red Dear density in cervine animals districts. Results showed what the Red Dear is sensitive to forest edges, ecological loops and bridges. The Moose prefer connected large forest complexes with core area. The Moose is more sensitive to forest level landscape structure: share of deciduous forests, open ureas inside forest, upland bogs. For Red Dear is a more important transition zone of forest- field ecosystems. Application of different data analysis methods (redundancy analysis with covariables; tree model) enabled to emphasis results what could not be seen just from one analysis method. Combination of AreGIS and Guidos software should be applied in landscape monitoring, landscape planning, evaluation of possible impact of planning solutions to landscape recourses, formation of Nature framework. Indicators derived by Morphological Spatial Pattern Analysis (MSPA) implemented in GUIDOS quite pood reflect preferences of the Moose and Red Deer on landscape structure Vytauto Didžiojo universitetas Žemės ūkio akademija Article in Journal/Newspaper Alces alces Vytautas Magnus University e-Publication Repository (VMU ePub)
institution Open Polar
collection Vytautas Magnus University e-Publication Repository (VMU ePub)
op_collection_id ftvytmagnusuniv
language English
topic Moose
Red Deer
Landscape structure
MSPA
Partial RDA
Tree model
Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Miškotyra / Forestry (A004)
spellingShingle Moose
Red Deer
Landscape structure
MSPA
Partial RDA
Tree model
Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Miškotyra / Forestry (A004)
Pėtelis, Kęstutis
Brazaitis, Gediminas
Žalkauskas, Remigijus
Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
topic_facet Moose
Red Deer
Landscape structure
MSPA
Partial RDA
Tree model
Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Miškotyra / Forestry (A004)
description The main task of this paper was to explore some aspects for landscape structure evaluation in order to determine various indicators of landscape structure what might influence the Moose and Red Deer distribution. GiS technologies, Morphological Spalial Pattern Analysis were used to derive landscape structure indicators in cervine animals districts. Partial Redundancy analysis, tree model analysis were used to verify the relation of region and forest level landscape structure indicators with the Moose and Red Dear density in cervine animals districts. Results showed what the Red Dear is sensitive to forest edges, ecological loops and bridges. The Moose prefer connected large forest complexes with core area. The Moose is more sensitive to forest level landscape structure: share of deciduous forests, open ureas inside forest, upland bogs. For Red Dear is a more important transition zone of forest- field ecosystems. Application of different data analysis methods (redundancy analysis with covariables; tree model) enabled to emphasis results what could not be seen just from one analysis method. Combination of AreGIS and Guidos software should be applied in landscape monitoring, landscape planning, evaluation of possible impact of planning solutions to landscape recourses, formation of Nature framework. Indicators derived by Morphological Spatial Pattern Analysis (MSPA) implemented in GUIDOS quite pood reflect preferences of the Moose and Red Deer on landscape structure Vytauto Didžiojo universitetas Žemės ūkio akademija
format Article in Journal/Newspaper
author Pėtelis, Kęstutis
Brazaitis, Gediminas
Žalkauskas, Remigijus
author_facet Pėtelis, Kęstutis
Brazaitis, Gediminas
Žalkauskas, Remigijus
author_sort Pėtelis, Kęstutis
title Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
title_short Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
title_full Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
title_fullStr Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
title_full_unstemmed Some aspects of evaluation the influence of region and forest level landscape structure on the Moose (Alces alces L.) and Red Deer (Cervus elaphus L.) distribution
title_sort some aspects of evaluation the influence of region and forest level landscape structure on the moose (alces alces l.) and red deer (cervus elaphus l.) distribution
publishDate 2009
url https://hdl.handle.net/20.500.12259/82034
op_coverage LT
genre Alces alces
genre_facet Alces alces
op_relation Rural development 2009 : 4th international scientific conference, 15-17 October, 2009, Akademija, Kaunas region, Lithuania : proceedings. Akademija : Lithuanian University of Agriculture, Vol. 4, b. 2 (2009)
Conference Proceedings Citation Index - Science (Web of Science)
Conference Proceedings Citation Index - Social Science & Humanities (Web of Science)
18223230
VDU02-000043576
https://hdl.handle.net/20.500.12259/82034
op_doi https://doi.org/20.500.12259/82034
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