Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system

Habitat connectivity influences the distribution dynamics of animals. Connectivity can therefore shape trophic interactions, but little empirical evidence is available, especially for large mammals. In forest ecosystems, logging alters functional connectivity among habitat patches, and such activiti...

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Main Authors: Courbin, Nicolas, Fortin, Daniel, Dussault, Christian, Courtois, R., Courbin, N., Fortin, D.
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2014
Subjects:
Online Access:https://doi.org/10.5061/dryad.h65f4
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author Courbin, Nicolas
Fortin, Daniel
Dussault, Christian
Courtois, R.
Courbin, N.
Fortin, D.
author_facet Courbin, Nicolas
Fortin, Daniel
Dussault, Christian
Courtois, R.
Courbin, N.
Fortin, D.
author_sort Courbin, Nicolas
collection Unknown
description Habitat connectivity influences the distribution dynamics of animals. Connectivity can therefore shape trophic interactions, but little empirical evidence is available, especially for large mammals. In forest ecosystems, logging alters functional connectivity among habitat patches, and such activities can affect the spatial game between large herbivores and their predators. We used graph theory to evaluate how harvesting-induced changes in habitat connectivity influence patch choice and residency time of GPS-collared caribou (Rangifer tarandus caribou) and moose (Alces alces) in winter in the boreal forest. We then investigated the predator–prey game by assessing how GPS-collared wolves (Canis lupus) adjusted their movements to changes in landscape properties and in the networks of their prey species. We built prey habitat networks using minimum planar graphs organized around species-specific, highly selected habitat patches (i.e., network nodes). We found that spatial dynamics of large herbivores were influenced not only by the intrinsic quality of habitat patches, but also by the connectivity of those network nodes. Caribou and moose selected nodes that were connected by a high number of links, and moose also spent relatively more time in those nodes. By limiting node accessibility, human disturbances influenced travel decisions. Caribou and moose avoided nodes that were surrounded by a high proportion of cuts and roads, but once within these nodes, moose stayed longer than in other nodes. Caribou selectively moved among nodes with low distance costs, and their residency time increased with distance costs required to reach the nodes. Wolves selected their prey's nodes, where vegetation consumed by caribou and moose was highly abundant. Furthermore, wolves discriminated among those nodes by selecting the most connected ones. In fact, selection by wolves was stronger for their prey's nodes than for the prey's utilization distribution per se, a difference that increased with the level of human disturbance. ...
format Dataset
genre Alces alces
Canis lupus
Rangifer tarandus
genre_facet Alces alces
Canis lupus
Rangifer tarandus
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::4d7e88f1c04095549647b6db458331f5 2025-01-16T18:44:58+00:00 Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system Courbin, Nicolas Fortin, Daniel Dussault, Christian Courtois, R. Courbin, N. Fortin, D. 2014-01-01 https://doi.org/10.5061/dryad.h65f4 undefined unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.h65f4 http://dx.doi.org/10.5061/dryad.h65f4 lic_creative-commons 10.5061/dryad.h65f4 oai:easy.dans.knaw.nl:easy-dataset:84921 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84921 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f Predator-prey interaction Graph theory Connectivity Spatial game Côte Nord Québec Canada Boreal forest Alces alces Caribou rangifer tarandus Canis lupus Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2014 fttriple https://doi.org/10.5061/dryad.h65f4 2023-01-22T17:23:17Z Habitat connectivity influences the distribution dynamics of animals. Connectivity can therefore shape trophic interactions, but little empirical evidence is available, especially for large mammals. In forest ecosystems, logging alters functional connectivity among habitat patches, and such activities can affect the spatial game between large herbivores and their predators. We used graph theory to evaluate how harvesting-induced changes in habitat connectivity influence patch choice and residency time of GPS-collared caribou (Rangifer tarandus caribou) and moose (Alces alces) in winter in the boreal forest. We then investigated the predator–prey game by assessing how GPS-collared wolves (Canis lupus) adjusted their movements to changes in landscape properties and in the networks of their prey species. We built prey habitat networks using minimum planar graphs organized around species-specific, highly selected habitat patches (i.e., network nodes). We found that spatial dynamics of large herbivores were influenced not only by the intrinsic quality of habitat patches, but also by the connectivity of those network nodes. Caribou and moose selected nodes that were connected by a high number of links, and moose also spent relatively more time in those nodes. By limiting node accessibility, human disturbances influenced travel decisions. Caribou and moose avoided nodes that were surrounded by a high proportion of cuts and roads, but once within these nodes, moose stayed longer than in other nodes. Caribou selectively moved among nodes with low distance costs, and their residency time increased with distance costs required to reach the nodes. Wolves selected their prey's nodes, where vegetation consumed by caribou and moose was highly abundant. Furthermore, wolves discriminated among those nodes by selecting the most connected ones. In fact, selection by wolves was stronger for their prey's nodes than for the prey's utilization distribution per se, a difference that increased with the level of human disturbance. ... Dataset Alces alces Canis lupus Rangifer tarandus Unknown Canada
spellingShingle Predator-prey interaction
Graph theory
Connectivity
Spatial game
Côte Nord
Québec
Canada
Boreal forest
Alces alces
Caribou rangifer tarandus
Canis lupus
Life sciences
medicine and health care
envir
geo
Courbin, Nicolas
Fortin, Daniel
Dussault, Christian
Courtois, R.
Courbin, N.
Fortin, D.
Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title_full Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title_fullStr Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title_full_unstemmed Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title_short Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
title_sort data from: logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
topic Predator-prey interaction
Graph theory
Connectivity
Spatial game
Côte Nord
Québec
Canada
Boreal forest
Alces alces
Caribou rangifer tarandus
Canis lupus
Life sciences
medicine and health care
envir
geo
topic_facet Predator-prey interaction
Graph theory
Connectivity
Spatial game
Côte Nord
Québec
Canada
Boreal forest
Alces alces
Caribou rangifer tarandus
Canis lupus
Life sciences
medicine and health care
envir
geo
url https://doi.org/10.5061/dryad.h65f4