Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ...
Trophic interactions in multiprey systems can be largely determined by prey distributions. Yet, classic predator–prey models assume spatially homogeneous interactions between predators and prey. We developed a spatially informed theory that predicts how habitat heterogeneity alters the landscape-sca...
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Online Access: | https://dx.doi.org/10.5061/dryad.bf771 https://datadryad.org/stash/dataset/doi:10.5061/dryad.bf771 |
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ftdatacite:10.5061/dryad.bf771 2024-02-04T09:52:30+01:00 Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... Fortin, Daniel Buono, Pietro-Luciano Schmitz, Oswald J. Courbin, Nicolas Losier, Chrystel St-Laurent, Martin-Hugues Drapeau, Pierre Heppell, Sandra Dussault, Claude Brodeur, Vincent Mainguy, Julien 2015 https://dx.doi.org/10.5061/dryad.bf771 https://datadryad.org/stash/dataset/doi:10.5061/dryad.bf771 en eng Dryad https://dx.doi.org/10.1098/rspb.2015.0973 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 apparent competition Rangifer tarandus Alces alces Canis lupus mortality risk Dataset dataset 2015 ftdatacite https://doi.org/10.5061/dryad.bf77110.1098/rspb.2015.0973 2024-01-05T04:39:59Z Trophic interactions in multiprey systems can be largely determined by prey distributions. Yet, classic predator–prey models assume spatially homogeneous interactions between predators and prey. We developed a spatially informed theory that predicts how habitat heterogeneity alters the landscape-scale distribution of mortality risk of prey from predation, and hence the nature of predator interactions in multiprey systems. The theoretical model is a spatially explicit, multiprey functional response in which species-specific advection–diffusion models account for the response of individual prey to habitat edges. The model demonstrates that distinct responses of alternative prey species can alter the consequences of conspecific aggregation, from increasing safety to increasing predation risk. Observations of threatened boreal caribou, moose and grey wolf interacting over 378 181 km2 of human-managed boreal forest support this principle. This empirically supported theory demonstrates how distinct responses of ... : Wolf dataData used to carry out habitat selection analysis of molvesWolf.xlsxMoose dataData used to carry out habitat selection analysis of mooseMoose.xlsxmortality_CaribouData used to analyse the probability of mortality of 145 radio-collar caribou as a function of their distance from the nearest road of cut. ... Dataset Alces alces Canis lupus Rangifer tarandus 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 |
apparent competition Rangifer tarandus Alces alces Canis lupus mortality risk |
spellingShingle |
apparent competition Rangifer tarandus Alces alces Canis lupus mortality risk Fortin, Daniel Buono, Pietro-Luciano Schmitz, Oswald J. Courbin, Nicolas Losier, Chrystel St-Laurent, Martin-Hugues Drapeau, Pierre Heppell, Sandra Dussault, Claude Brodeur, Vincent Mainguy, Julien Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
topic_facet |
apparent competition Rangifer tarandus Alces alces Canis lupus mortality risk |
description |
Trophic interactions in multiprey systems can be largely determined by prey distributions. Yet, classic predator–prey models assume spatially homogeneous interactions between predators and prey. We developed a spatially informed theory that predicts how habitat heterogeneity alters the landscape-scale distribution of mortality risk of prey from predation, and hence the nature of predator interactions in multiprey systems. The theoretical model is a spatially explicit, multiprey functional response in which species-specific advection–diffusion models account for the response of individual prey to habitat edges. The model demonstrates that distinct responses of alternative prey species can alter the consequences of conspecific aggregation, from increasing safety to increasing predation risk. Observations of threatened boreal caribou, moose and grey wolf interacting over 378 181 km2 of human-managed boreal forest support this principle. This empirically supported theory demonstrates how distinct responses of ... : Wolf dataData used to carry out habitat selection analysis of molvesWolf.xlsxMoose dataData used to carry out habitat selection analysis of mooseMoose.xlsxmortality_CaribouData used to analyse the probability of mortality of 145 radio-collar caribou as a function of their distance from the nearest road of cut. ... |
format |
Dataset |
author |
Fortin, Daniel Buono, Pietro-Luciano Schmitz, Oswald J. Courbin, Nicolas Losier, Chrystel St-Laurent, Martin-Hugues Drapeau, Pierre Heppell, Sandra Dussault, Claude Brodeur, Vincent Mainguy, Julien |
author_facet |
Fortin, Daniel Buono, Pietro-Luciano Schmitz, Oswald J. Courbin, Nicolas Losier, Chrystel St-Laurent, Martin-Hugues Drapeau, Pierre Heppell, Sandra Dussault, Claude Brodeur, Vincent Mainguy, Julien |
author_sort |
Fortin, Daniel |
title |
Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
title_short |
Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
title_full |
Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
title_fullStr |
Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
title_full_unstemmed |
Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
title_sort |
data from: a spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes ... |
publisher |
Dryad |
publishDate |
2015 |
url |
https://dx.doi.org/10.5061/dryad.bf771 https://datadryad.org/stash/dataset/doi:10.5061/dryad.bf771 |
genre |
Alces alces Canis lupus Rangifer tarandus |
genre_facet |
Alces alces Canis lupus Rangifer tarandus |
op_relation |
https://dx.doi.org/10.1098/rspb.2015.0973 |
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.bf77110.1098/rspb.2015.0973 |
_version_ |
1789958898172559360 |