Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore
Manuscript Abstract: Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demo...
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ftdatacite:10.5281/zenodo.5802242 2023-05-15T15:51:12+02:00 Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore Sells, Sarah 2022 https://dx.doi.org/10.5281/zenodo.5802242 https://zenodo.org/record/5802242 unknown Zenodo https://zenodo.org/communities/dryad https://dx.doi.org/10.5061/dryad.mpg4f4r1r https://dx.doi.org/10.5281/zenodo.5802243 https://zenodo.org/communities/dryad Open Access GNU Affero General Public License v3.0 only https://www.gnu.org/licenses/agpl.txt agpl-3.0-only info:eu-repo/semantics/openAccess behavior ecology gray wolves mechanistic model optimality landscape territoriality agent-based model article Software SoftwareSourceCode 2022 ftdatacite https://doi.org/10.5281/zenodo.5802242 https://doi.org/10.5061/dryad.mpg4f4r1r https://doi.org/10.5281/zenodo.5802243 2022-02-09T11:27:25Z Manuscript Abstract: Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using gray wolves ( Canis lupus ). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs, and tradeoffs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk, and seasonality. It accomplished this using simple behavioral rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behavior. Model & Data Abstract: In support of the above manuscript, all model files and data to re-create the analyses for the manuscript are included on Dryad. The model can be run in NetLogo (installation file included), using the associated input files to build the Montana landscape for wolves. Expertise in NetLogo is strongly recommended for using this model. Output files are likewise included along with code to create each plot in the manuscript and SI. Software files for the model and code to create each plot in the manuscript are located at Zenodo: https://doi.org/10.5281/zenodo.5802243. : All details are provided in the Sells et al. Supplementary Information file. Article in Journal/Newspaper Canis lupus DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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unknown |
topic |
behavior ecology gray wolves mechanistic model optimality landscape territoriality agent-based model |
spellingShingle |
behavior ecology gray wolves mechanistic model optimality landscape territoriality agent-based model Sells, Sarah Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
topic_facet |
behavior ecology gray wolves mechanistic model optimality landscape territoriality agent-based model |
description |
Manuscript Abstract: Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using gray wolves ( Canis lupus ). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs, and tradeoffs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk, and seasonality. It accomplished this using simple behavioral rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behavior. Model & Data Abstract: In support of the above manuscript, all model files and data to re-create the analyses for the manuscript are included on Dryad. The model can be run in NetLogo (installation file included), using the associated input files to build the Montana landscape for wolves. Expertise in NetLogo is strongly recommended for using this model. Output files are likewise included along with code to create each plot in the manuscript and SI. Software files for the model and code to create each plot in the manuscript are located at Zenodo: https://doi.org/10.5281/zenodo.5802243. : All details are provided in the Sells et al. Supplementary Information file. |
format |
Article in Journal/Newspaper |
author |
Sells, Sarah |
author_facet |
Sells, Sarah |
author_sort |
Sells, Sarah |
title |
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
title_short |
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
title_full |
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
title_fullStr |
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
title_full_unstemmed |
Model and data for: Economical defense of resources structures territorial space use in a cooperative carnivore |
title_sort |
model and data for: economical defense of resources structures territorial space use in a cooperative carnivore |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.5802242 https://zenodo.org/record/5802242 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
https://zenodo.org/communities/dryad https://dx.doi.org/10.5061/dryad.mpg4f4r1r https://dx.doi.org/10.5281/zenodo.5802243 https://zenodo.org/communities/dryad |
op_rights |
Open Access GNU Affero General Public License v3.0 only https://www.gnu.org/licenses/agpl.txt agpl-3.0-only info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.5802242 https://doi.org/10.5061/dryad.mpg4f4r1r https://doi.org/10.5281/zenodo.5802243 |
_version_ |
1766386262844899328 |