Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ...
Identifying how sympatric species belonging to the same guild coexist is a major question of community ecology and conservation. Habitat segregation between two species might help reduce the effects of interspecific competition and apex predators are of special interest in this context, because thei...
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Online Access: | https://dx.doi.org/10.5061/dryad.sc983fc https://datadryad.org/stash/dataset/doi:10.5061/dryad.sc983fc |
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ftdatacite:10.5061/dryad.sc983fc 2024-02-04T09:59:28+01:00 Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... Milleret, Cyril Ordiz, Andrés Chapron, Guillaume Andreassen, Harry Peter Kindberg, Jonas Månsson, Johan Tallian, Aimee Wabakken, Petter Wikenros, Camilla Zimmermann, Barbara Swenson, Jon E. Sand, Håkan 2019 https://dx.doi.org/10.5061/dryad.sc983fc https://datadryad.org/stash/dataset/doi:10.5061/dryad.sc983fc en eng Dryad https://dx.doi.org/10.1002/ece3.4572 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 wolves and bears habitat segregation Ursus arctos Canis lupus Dataset dataset 2019 ftdatacite https://doi.org/10.5061/dryad.sc983fc10.1002/ece3.4572 2024-01-05T04:51:50Z Identifying how sympatric species belonging to the same guild coexist is a major question of community ecology and conservation. Habitat segregation between two species might help reduce the effects of interspecific competition and apex predators are of special interest in this context, because their interactions can have consequences for lower trophic levels. However, habitat segregation between sympatric large carnivores has seldom been studied. Based on monitoring of 53 brown bears (Ursus arctos) and 7 sympatric adult gray wolves (Canis lupus) equipped with GPS collars in Sweden, we analyzed the degree of interspecific segregation in habitat selection within their home ranges in both late winter and spring, when their diets overlap the most. We used the K-select method, a multivariate approach that relies on the concept of ecological niche, and randomization methods to quantify habitat segregation between bears and wolves. Habitat segregation between bears and wolves was greater than expected by chance. ... : dataData from Milleret et al. Ecology and Evolution (Habitat segregation between brown bears and gray wolves in a human-dominated landscape) ... Dataset Canis lupus Ursus arctos DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
wolves and bears habitat segregation Ursus arctos Canis lupus |
spellingShingle |
wolves and bears habitat segregation Ursus arctos Canis lupus Milleret, Cyril Ordiz, Andrés Chapron, Guillaume Andreassen, Harry Peter Kindberg, Jonas Månsson, Johan Tallian, Aimee Wabakken, Petter Wikenros, Camilla Zimmermann, Barbara Swenson, Jon E. Sand, Håkan Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
topic_facet |
wolves and bears habitat segregation Ursus arctos Canis lupus |
description |
Identifying how sympatric species belonging to the same guild coexist is a major question of community ecology and conservation. Habitat segregation between two species might help reduce the effects of interspecific competition and apex predators are of special interest in this context, because their interactions can have consequences for lower trophic levels. However, habitat segregation between sympatric large carnivores has seldom been studied. Based on monitoring of 53 brown bears (Ursus arctos) and 7 sympatric adult gray wolves (Canis lupus) equipped with GPS collars in Sweden, we analyzed the degree of interspecific segregation in habitat selection within their home ranges in both late winter and spring, when their diets overlap the most. We used the K-select method, a multivariate approach that relies on the concept of ecological niche, and randomization methods to quantify habitat segregation between bears and wolves. Habitat segregation between bears and wolves was greater than expected by chance. ... : dataData from Milleret et al. Ecology and Evolution (Habitat segregation between brown bears and gray wolves in a human-dominated landscape) ... |
format |
Dataset |
author |
Milleret, Cyril Ordiz, Andrés Chapron, Guillaume Andreassen, Harry Peter Kindberg, Jonas Månsson, Johan Tallian, Aimee Wabakken, Petter Wikenros, Camilla Zimmermann, Barbara Swenson, Jon E. Sand, Håkan |
author_facet |
Milleret, Cyril Ordiz, Andrés Chapron, Guillaume Andreassen, Harry Peter Kindberg, Jonas Månsson, Johan Tallian, Aimee Wabakken, Petter Wikenros, Camilla Zimmermann, Barbara Swenson, Jon E. Sand, Håkan |
author_sort |
Milleret, Cyril |
title |
Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
title_short |
Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
title_full |
Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
title_fullStr |
Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
title_full_unstemmed |
Data from: Habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
title_sort |
data from: habitat segregation between brown bears and gray wolves in a human-dominated landscape ... |
publisher |
Dryad |
publishDate |
2019 |
url |
https://dx.doi.org/10.5061/dryad.sc983fc https://datadryad.org/stash/dataset/doi:10.5061/dryad.sc983fc |
genre |
Canis lupus Ursus arctos |
genre_facet |
Canis lupus Ursus arctos |
op_relation |
https://dx.doi.org/10.1002/ece3.4572 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.sc983fc10.1002/ece3.4572 |
_version_ |
1789964284668674048 |