Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...

After centuries of intense persecution, several large carnivore species in Europe and North America have experienced a rebound. Today's spatial configuration of large carnivore populations has likely arisen from the interplay between their ecological traits and current environmental conditions,...

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Main Authors: Moqanaki, Ehsan, Milleret, Cyril, Dupont, Pierre, Brøseth, Henrik, Bischof, Richard
Format: Dataset
Language:English
Published: Dryad 2023
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.n2z34tn29
https://datadryad.org/stash/dataset/doi:10.5061/dryad.n2z34tn29
id ftdatacite:10.5061/dryad.n2z34tn29
record_format openpolar
spelling ftdatacite:10.5061/dryad.n2z34tn29 2024-02-04T10:00:58+01:00 Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ... Moqanaki, Ehsan Milleret, Cyril Dupont, Pierre Brøseth, Henrik Bischof, Richard 2023 https://dx.doi.org/10.5061/dryad.n2z34tn29 https://datadryad.org/stash/dataset/doi:10.5061/dryad.n2z34tn29 en eng Dryad https://dx.doi.org/10.1101/2022.11.14.516397 https://dx.doi.org/10.5281/zenodo.8028089 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences abundance Density species’ spatial distribution Gulo gulo spatial capture-recapture Scandinavia Transboundary management large carnivores noninvasive monitoring Dataset dataset 2023 ftdatacite https://doi.org/10.5061/dryad.n2z34tn2910.1101/2022.11.14.51639710.5281/zenodo.8028089 2024-01-05T04:51:50Z After centuries of intense persecution, several large carnivore species in Europe and North America have experienced a rebound. Today's spatial configuration of large carnivore populations has likely arisen from the interplay between their ecological traits and current environmental conditions, but also from their history of persecution and protection. Yet, due to the challenge of studying population-level phenomena, we are rarely able to disentangle and quantify the influence of past and present factors driving the spatial distribution and density of these controversial species. Using spatial capture-recapture models and a data set of 742 genetically identified wolverines Gulo gulo collected over ½ million km2 across their entire range in Norway and Sweden, we identify landscape-level factors explaining the current population density of wolverines in the Scandinavian Peninsula. Distance from the relict range along the Swedish-Norwegian border, where the wolverine population survived a long history of ... : Details on wolverine Gulo gulo data are provided by Moqanaki, E. et al. (here and here) and additional references are given. In brief, this dataset include wolverine noninvasive genetic sampling data extracted from the Scandinavian large carnivore monitoring database (Rovbase 3.0; www.rovbase.no and www.rovbase.se). Wildlife authorities and volunteers conducted both structured searches and opportunistic sampling of putative wolverine scats and hair on snow throughout the species’ range in Norway and Sweden. The structured search tracks and locations of noninvasive samples were GPS recorded. Samples were then processed and analyzed by two dedicated DNA labs using a number of control measures to minimize genotyping errors. First, samples were analyzed with a Single Nucleotide Polymorphism (SNP)-chip with 96 markers. Second, all individuals were analyzed with 19 microsatellite markers to determine species and identity of wolverine individuals as well as their sex. The dataset contains noninvasive genetic ... Dataset Gulo gulo DataCite Metadata Store (German National Library of Science and Technology) Norway
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic FOS Biological sciences
abundance
Density
species’ spatial distribution
Gulo gulo
spatial capture-recapture
Scandinavia
Transboundary management
large carnivores
noninvasive monitoring
spellingShingle FOS Biological sciences
abundance
Density
species’ spatial distribution
Gulo gulo
spatial capture-recapture
Scandinavia
Transboundary management
large carnivores
noninvasive monitoring
Moqanaki, Ehsan
Milleret, Cyril
Dupont, Pierre
Brøseth, Henrik
Bischof, Richard
Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
topic_facet FOS Biological sciences
abundance
Density
species’ spatial distribution
Gulo gulo
spatial capture-recapture
Scandinavia
Transboundary management
large carnivores
noninvasive monitoring
description After centuries of intense persecution, several large carnivore species in Europe and North America have experienced a rebound. Today's spatial configuration of large carnivore populations has likely arisen from the interplay between their ecological traits and current environmental conditions, but also from their history of persecution and protection. Yet, due to the challenge of studying population-level phenomena, we are rarely able to disentangle and quantify the influence of past and present factors driving the spatial distribution and density of these controversial species. Using spatial capture-recapture models and a data set of 742 genetically identified wolverines Gulo gulo collected over ½ million km2 across their entire range in Norway and Sweden, we identify landscape-level factors explaining the current population density of wolverines in the Scandinavian Peninsula. Distance from the relict range along the Swedish-Norwegian border, where the wolverine population survived a long history of ... : Details on wolverine Gulo gulo data are provided by Moqanaki, E. et al. (here and here) and additional references are given. In brief, this dataset include wolverine noninvasive genetic sampling data extracted from the Scandinavian large carnivore monitoring database (Rovbase 3.0; www.rovbase.no and www.rovbase.se). Wildlife authorities and volunteers conducted both structured searches and opportunistic sampling of putative wolverine scats and hair on snow throughout the species’ range in Norway and Sweden. The structured search tracks and locations of noninvasive samples were GPS recorded. Samples were then processed and analyzed by two dedicated DNA labs using a number of control measures to minimize genotyping errors. First, samples were analyzed with a Single Nucleotide Polymorphism (SNP)-chip with 96 markers. Second, all individuals were analyzed with 19 microsatellite markers to determine species and identity of wolverine individuals as well as their sex. The dataset contains noninvasive genetic ...
format Dataset
author Moqanaki, Ehsan
Milleret, Cyril
Dupont, Pierre
Brøseth, Henrik
Bischof, Richard
author_facet Moqanaki, Ehsan
Milleret, Cyril
Dupont, Pierre
Brøseth, Henrik
Bischof, Richard
author_sort Moqanaki, Ehsan
title Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
title_short Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
title_full Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
title_fullStr Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
title_full_unstemmed Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia ...
title_sort data for: wolverine density distribution reflects past persecution and current management in scandinavia ...
publisher Dryad
publishDate 2023
url https://dx.doi.org/10.5061/dryad.n2z34tn29
https://datadryad.org/stash/dataset/doi:10.5061/dryad.n2z34tn29
geographic Norway
geographic_facet Norway
genre Gulo gulo
genre_facet Gulo gulo
op_relation https://dx.doi.org/10.1101/2022.11.14.516397
https://dx.doi.org/10.5281/zenodo.8028089
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.n2z34tn2910.1101/2022.11.14.51639710.5281/zenodo.8028089
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