Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ...
Competition between apex predators can alter the strength of top-down forcing, yet we know little about the behavioral mechanisms that drive competition in multipredator ecosystems. Interactions between predators can be synergistic (facilitative) or antagonistic (inhibitive), both of which are wides...
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Online Access: | https://dx.doi.org/10.5061/dryad.dz08kprzb https://datadryad.org/stash/dataset/doi:10.5061/dryad.dz08kprzb |
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ftdatacite:10.5061/dryad.dz08kprzb 2024-02-04T09:59:28+01:00 Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... Tallian, Aimee Ordiz, Andrés Metz, Matthew Zimmermann, Barbara Wikenros, Camilla Smith, Douglas Stahler, Daniel Wabakken, Petter Swenson, Jon Sand, Håkan Kindberg, Jonas 2021 https://dx.doi.org/10.5061/dryad.dz08kprzb https://datadryad.org/stash/dataset/doi:10.5061/dryad.dz08kprzb en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Canis lupus competition Ursus arctos Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.dz08kprzb 2024-01-05T01:14:15Z Competition between apex predators can alter the strength of top-down forcing, yet we know little about the behavioral mechanisms that drive competition in multipredator ecosystems. Interactions between predators can be synergistic (facilitative) or antagonistic (inhibitive), both of which are widespread in nature, vary in strength between species and across space and time, and affect predation patterns and predator-prey dynamics. Recent research suggests gray wolf (Canis lupus) kill rates decrease where they are sympatric with brown bears (Ursus arctos), however, the mechanisms behind this pattern remain unknown. We used data from two long-term research projects in Scandinavia (Europe) and Yellowstone National Park (North America) to test the role of interference and exploitation competition from bears on wolf predatory behavior, where altered wolf handling and search time of prey in the presence of bears are indicative of interference and exploitation competition, respectively. Our results suggest the ... : This data set was collected by two long-term research projects in Scandinavia and Yellowstone National Park. This data was cleaned and processes for a manuscript accepted into Ecological Monographs. ... Dataset Canis lupus gray wolf 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 |
FOS Biological sciences Canis lupus competition Ursus arctos |
spellingShingle |
FOS Biological sciences Canis lupus competition Ursus arctos Tallian, Aimee Ordiz, Andrés Metz, Matthew Zimmermann, Barbara Wikenros, Camilla Smith, Douglas Stahler, Daniel Wabakken, Petter Swenson, Jon Sand, Håkan Kindberg, Jonas Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
topic_facet |
FOS Biological sciences Canis lupus competition Ursus arctos |
description |
Competition between apex predators can alter the strength of top-down forcing, yet we know little about the behavioral mechanisms that drive competition in multipredator ecosystems. Interactions between predators can be synergistic (facilitative) or antagonistic (inhibitive), both of which are widespread in nature, vary in strength between species and across space and time, and affect predation patterns and predator-prey dynamics. Recent research suggests gray wolf (Canis lupus) kill rates decrease where they are sympatric with brown bears (Ursus arctos), however, the mechanisms behind this pattern remain unknown. We used data from two long-term research projects in Scandinavia (Europe) and Yellowstone National Park (North America) to test the role of interference and exploitation competition from bears on wolf predatory behavior, where altered wolf handling and search time of prey in the presence of bears are indicative of interference and exploitation competition, respectively. Our results suggest the ... : This data set was collected by two long-term research projects in Scandinavia and Yellowstone National Park. This data was cleaned and processes for a manuscript accepted into Ecological Monographs. ... |
format |
Dataset |
author |
Tallian, Aimee Ordiz, Andrés Metz, Matthew Zimmermann, Barbara Wikenros, Camilla Smith, Douglas Stahler, Daniel Wabakken, Petter Swenson, Jon Sand, Håkan Kindberg, Jonas |
author_facet |
Tallian, Aimee Ordiz, Andrés Metz, Matthew Zimmermann, Barbara Wikenros, Camilla Smith, Douglas Stahler, Daniel Wabakken, Petter Swenson, Jon Sand, Håkan Kindberg, Jonas |
author_sort |
Tallian, Aimee |
title |
Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
title_short |
Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
title_full |
Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
title_fullStr |
Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
title_full_unstemmed |
Of wolves and bears: Seasonal drivers of interference and exploitation competition between apex predators ... |
title_sort |
of wolves and bears: seasonal drivers of interference and exploitation competition between apex predators ... |
publisher |
Dryad |
publishDate |
2021 |
url |
https://dx.doi.org/10.5061/dryad.dz08kprzb https://datadryad.org/stash/dataset/doi:10.5061/dryad.dz08kprzb |
genre |
Canis lupus gray wolf Ursus arctos |
genre_facet |
Canis lupus gray wolf Ursus arctos |
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.dz08kprzb |
_version_ |
1789964284485173248 |