Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations
A fundamental challenge in habitat ecology and management is understanding the mechanisms generating animal distributions. Studies of habitat selection provide a lens into such mechanisms, but are often limited by unrealistic assumptions. For example, most studies assume that habitat selection is co...
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ftzenodo:oai:zenodo.org:4940422 2023-05-15T18:04:24+02:00 Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations Holbrook, Joseph D. Olson, Lucretia E. DeCesare, Nicholas J. Hebblewhite, Mark Squires, John R. Steenweg, Robin 2018-12-27 https://zenodo.org/record/4940422 https://doi.org/10.5061/dryad.47174j0 unknown doi:10.1002/eap.1852 https://zenodo.org/communities/dryad https://zenodo.org/record/4940422 https://doi.org/10.5061/dryad.47174j0 oai:zenodo.org:4940422 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode Lynx canadensis generalized linear mixed-models Rangifer tarandus resource selection function habitat availability info:eu-repo/semantics/other dataset 2018 ftzenodo https://doi.org/10.5061/dryad.47174j010.1002/eap.1852 2023-03-10T17:47:29Z A fundamental challenge in habitat ecology and management is understanding the mechanisms generating animal distributions. Studies of habitat selection provide a lens into such mechanisms, but are often limited by unrealistic assumptions. For example, most studies assume that habitat selection is constant with respect to the availability of resources, such that habitat use remains proportional to availability. To the contrary, a growing body of work has shown the fallacy of this assumption, indicating that animals modify their behavior depending on the context at broader scales. This has been termed a functional response in habitat selection. Furthermore, a diversity of methods are employed to model functional responses in habitat selection, with little attention how methodology might affect scientific and conservation conclusions. Here, we first review the conceptual and statistical foundations of methods currently used to model functional responses and clarify the ecological tests evaluated within each approach. We then use a combination of simulated and empirical datasets to evaluate the similarities and differences among approaches. Importantly, we identified multiple statistical issues with the most widely applied approaches to understand functional responses, including: (1) a complex and important role of random- or individual-level intercepts in adjusting individual-level regression coefficients as resource availability changes, and (2) a sensitivity of results to poorly informed individual-level coefficients estimated for animals with low availability of a given resource. Consequently, we provide guidance on applying approaches that are insensitive to these issues with the goal of advancing our understanding of animal habitat ecology and management. Finally, we characterize the management implications of assuming similarity between the current approaches to model functional responses with two empirical datasets of federally threatened species: Canada lynx (Lynx canadensis) in the United States, and ... Dataset Rangifer tarandus Lynx Zenodo Canada |
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ftzenodo |
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unknown |
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Lynx canadensis generalized linear mixed-models Rangifer tarandus resource selection function habitat availability |
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Lynx canadensis generalized linear mixed-models Rangifer tarandus resource selection function habitat availability Holbrook, Joseph D. Olson, Lucretia E. DeCesare, Nicholas J. Hebblewhite, Mark Squires, John R. Steenweg, Robin Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
topic_facet |
Lynx canadensis generalized linear mixed-models Rangifer tarandus resource selection function habitat availability |
description |
A fundamental challenge in habitat ecology and management is understanding the mechanisms generating animal distributions. Studies of habitat selection provide a lens into such mechanisms, but are often limited by unrealistic assumptions. For example, most studies assume that habitat selection is constant with respect to the availability of resources, such that habitat use remains proportional to availability. To the contrary, a growing body of work has shown the fallacy of this assumption, indicating that animals modify their behavior depending on the context at broader scales. This has been termed a functional response in habitat selection. Furthermore, a diversity of methods are employed to model functional responses in habitat selection, with little attention how methodology might affect scientific and conservation conclusions. Here, we first review the conceptual and statistical foundations of methods currently used to model functional responses and clarify the ecological tests evaluated within each approach. We then use a combination of simulated and empirical datasets to evaluate the similarities and differences among approaches. Importantly, we identified multiple statistical issues with the most widely applied approaches to understand functional responses, including: (1) a complex and important role of random- or individual-level intercepts in adjusting individual-level regression coefficients as resource availability changes, and (2) a sensitivity of results to poorly informed individual-level coefficients estimated for animals with low availability of a given resource. Consequently, we provide guidance on applying approaches that are insensitive to these issues with the goal of advancing our understanding of animal habitat ecology and management. Finally, we characterize the management implications of assuming similarity between the current approaches to model functional responses with two empirical datasets of federally threatened species: Canada lynx (Lynx canadensis) in the United States, and ... |
format |
Dataset |
author |
Holbrook, Joseph D. Olson, Lucretia E. DeCesare, Nicholas J. Hebblewhite, Mark Squires, John R. Steenweg, Robin |
author_facet |
Holbrook, Joseph D. Olson, Lucretia E. DeCesare, Nicholas J. Hebblewhite, Mark Squires, John R. Steenweg, Robin |
author_sort |
Holbrook, Joseph D. |
title |
Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
title_short |
Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
title_full |
Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
title_fullStr |
Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
title_full_unstemmed |
Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations |
title_sort |
data from: functional responses in habitat selection: clarifying hypotheses and interpretations |
publishDate |
2018 |
url |
https://zenodo.org/record/4940422 https://doi.org/10.5061/dryad.47174j0 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Rangifer tarandus Lynx |
genre_facet |
Rangifer tarandus Lynx |
op_relation |
doi:10.1002/eap.1852 https://zenodo.org/communities/dryad https://zenodo.org/record/4940422 https://doi.org/10.5061/dryad.47174j0 oai:zenodo.org:4940422 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.47174j010.1002/eap.1852 |
_version_ |
1766175767978311680 |