Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA

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 discussed are the basic rules for performing such a...

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Published in:Nature Conservation Research
Main Author: Sergey S. Ogurtsov
Format: Article in Journal/Newspaper
Language:English
Russian
Published: Fund for Support and Development of Protected Areas "Bear Land" 2020
Subjects:
gis
hsm
G
Online Access:https://doi.org/10.24189/ncr.2020.034
https://doaj.org/article/05aa4c4a87204d818b92623cba323793
id ftdoajarticles:oai:doaj.org/article:05aa4c4a87204d818b92623cba323793
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spelling ftdoajarticles:oai:doaj.org/article:05aa4c4a87204d818b92623cba323793 2023-05-15T18:31:01+02:00 Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA Sergey S. Ogurtsov 2020-08-01T00:00:00Z https://doi.org/10.24189/ncr.2020.034 https://doaj.org/article/05aa4c4a87204d818b92623cba323793 EN RU eng rus Fund for Support and Development of Protected Areas "Bear Land" http://ncr-journal.bear-land.org/article/279 https://doaj.org/toc/2500-008X doi:10.24189/ncr.2020.034 2500-008X https://doaj.org/article/05aa4c4a87204d818b92623cba323793 Nature Conservation Research: Заповедная наука, Vol 5, Iss 3, Pp 86-113 (2020) biotope brown bear carnivora enfa gis hsm madifa mahalanobis distances spatial modelling ursidae Geography. Anthropology. Recreation G article 2020 ftdoajarticles https://doi.org/10.24189/ncr.2020.034 2022-12-31T02:52:48Z 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 discussed are the basic rules for performing such a study, approaches and modelling techniques. The ecological niche was modelled using FANTER, ENFA and MADIFA. The habitat suitability was modelled using Mahalanobis distances analysis. As ecogeographical variables, vegetation indices, morphometric characteristics of the relief, proximity rasters and types of landscape cover were used. The presence points of the species were recorded on permanent routes using a GPS navigator during 2008–2018. As a final result, six models with a different combination of input data (presence points and environmental variables) were selected. As a set of independent test data, we used U. arctos' presence points recorded by the forest rangers and research staff. The scenarios of the influence of utilisation weights on presence points and multicollinearity on variables are separately modelled. The global marginality of the best model was 1.17, while the tolerance was 0.69. The distance to anthropogenic food sources, the NDVI and the projective cover of grasslands made the highest contribution along the marginality axis. In the first three axes of specialisation, coniferous forests, Sphagnum pine (Pinus sylvestris) forests, and the distance to the rivers made the largest contribution. AUC values ranged from 0.66 to 0.73. Values of the continuous Boyce index were from 0.85 to 0.93. The area of the partially violated buffer zone turned out to be more suitable for U. arctos than the inner area of the Central Forest State Nature Reserve. Utilisation weights and the number of ecogeographical variables had a significant impact on the results of all analyses. Article in Journal/Newspaper taiga Ursus arctos Directory of Open Access Journals: DOAJ Articles Nature Conservation Research 5 3
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Russian
topic biotope
brown bear
carnivora
enfa
gis
hsm
madifa
mahalanobis distances
spatial modelling
ursidae
Geography. Anthropology. Recreation
G
spellingShingle biotope
brown bear
carnivora
enfa
gis
hsm
madifa
mahalanobis distances
spatial modelling
ursidae
Geography. Anthropology. Recreation
G
Sergey S. Ogurtsov
Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
topic_facet biotope
brown bear
carnivora
enfa
gis
hsm
madifa
mahalanobis distances
spatial modelling
ursidae
Geography. Anthropology. Recreation
G
description 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 discussed are the basic rules for performing such a study, approaches and modelling techniques. The ecological niche was modelled using FANTER, ENFA and MADIFA. The habitat suitability was modelled using Mahalanobis distances analysis. As ecogeographical variables, vegetation indices, morphometric characteristics of the relief, proximity rasters and types of landscape cover were used. The presence points of the species were recorded on permanent routes using a GPS navigator during 2008–2018. As a final result, six models with a different combination of input data (presence points and environmental variables) were selected. As a set of independent test data, we used U. arctos' presence points recorded by the forest rangers and research staff. The scenarios of the influence of utilisation weights on presence points and multicollinearity on variables are separately modelled. The global marginality of the best model was 1.17, while the tolerance was 0.69. The distance to anthropogenic food sources, the NDVI and the projective cover of grasslands made the highest contribution along the marginality axis. In the first three axes of specialisation, coniferous forests, Sphagnum pine (Pinus sylvestris) forests, and the distance to the rivers made the largest contribution. AUC values ranged from 0.66 to 0.73. Values of the continuous Boyce index were from 0.85 to 0.93. The area of the partially violated buffer zone turned out to be more suitable for U. arctos than the inner area of the Central Forest State Nature Reserve. Utilisation weights and the number of ecogeographical variables had a significant impact on the results of all analyses.
format Article in Journal/Newspaper
author Sergey S. Ogurtsov
author_facet Sergey S. Ogurtsov
author_sort Sergey S. Ogurtsov
title Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
title_short Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
title_full Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
title_fullStr Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
title_full_unstemmed Brown bear (Ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of GNESFA
title_sort brown bear (ursus arctos) ecological niche and habitat suitability modeling in the southern taiga subzone using the method of gnesfa
publisher Fund for Support and Development of Protected Areas "Bear Land"
publishDate 2020
url https://doi.org/10.24189/ncr.2020.034
https://doaj.org/article/05aa4c4a87204d818b92623cba323793
genre taiga
Ursus arctos
genre_facet taiga
Ursus arctos
op_source Nature Conservation Research: Заповедная наука, Vol 5, Iss 3, Pp 86-113 (2020)
op_relation http://ncr-journal.bear-land.org/article/279
https://doaj.org/toc/2500-008X
doi:10.24189/ncr.2020.034
2500-008X
https://doaj.org/article/05aa4c4a87204d818b92623cba323793
op_doi https://doi.org/10.24189/ncr.2020.034
container_title Nature Conservation Research
container_volume 5
container_issue 3
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