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://doi.org/10.5061/dryad.bf771 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::0b2e71611eb2d6ce0a4b49ea579b75f6 2023-05-15T13:13:23+02:00 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 2020-07-19 https://doi.org/10.5061/dryad.bf771 undefined unknown Dryad https://dx.doi.org/10.5061/dryad.bf771 http://dx.doi.org/10.5061/dryad.bf771 lic_creative-commons 10.5061/dryad.bf771 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:90275 oai:easy.dans.knaw.nl:easy-dataset:90275 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c apparent competition Caribou Rangifer tarandus animal movement Alces alces Density Dependence predator-prey interaction Canis lupus mortality risk Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2020 fttriple https://doi.org/10.5061/dryad.bf771 2023-01-22T16:53:09Z 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 apparent competitors to landscape heterogeneity, including to human disturbances, can reverse density dependence in fitness correlates. 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 caribou Rangifer tarandus Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
apparent competition Caribou Rangifer tarandus animal movement Alces alces Density Dependence predator-prey interaction Canis lupus mortality risk Life sciences medicine and health care envir geo |
spellingShingle |
apparent competition Caribou Rangifer tarandus animal movement Alces alces Density Dependence predator-prey interaction Canis lupus mortality risk Life sciences medicine and health care envir geo 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 Caribou Rangifer tarandus animal movement Alces alces Density Dependence predator-prey interaction Canis lupus mortality risk Life sciences medicine and health care envir geo |
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 apparent competitors to landscape heterogeneity, including to human disturbances, can reverse density dependence in fitness correlates. 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 |
2020 |
url |
https://doi.org/10.5061/dryad.bf771 |
genre |
Alces alces Canis lupus caribou Rangifer tarandus |
genre_facet |
Alces alces Canis lupus caribou Rangifer tarandus |
op_source |
10.5061/dryad.bf771 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:90275 oai:easy.dans.knaw.nl:easy-dataset:90275 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
https://dx.doi.org/10.5061/dryad.bf771 http://dx.doi.org/10.5061/dryad.bf771 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.bf771 |
_version_ |
1766258044574892032 |