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Inferring detailed space use from movement paths: A unifying, residence time‐based framework
The residence time is the amount of time spent within a predefined circle surrounding each point along the movement path of an animal, reflecting its response to resource availability/quality. Two main residence time‐based methods exist in the literature: (1) The variance of residence times along th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648670/ https://www.ncbi.nlm.nih.gov/pubmed/29075466 http://dx.doi.org/10.1002/ece3.3321 |
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author | Kapota, Dror Dolev, Amit Saltz, David |
author_facet | Kapota, Dror Dolev, Amit Saltz, David |
author_sort | Kapota, Dror |
collection | PubMed |
description | The residence time is the amount of time spent within a predefined circle surrounding each point along the movement path of an animal, reflecting its response to resource availability/quality. Two main residence time‐based methods exist in the literature: (1) The variance of residence times along the path plotted against the radius of the circle was suggested to indicate the scale at which the animal perceives its resources; and (2) segments of the path with homogeneous residence times were suggested to indicate distinct behavioral modes, at a certain scale. Here, we modify and integrate these two methods to one framework with two steps of analysis: (1) identifying several distinct, nested scales of area‐restricted search (ARS), providing an indication of how animals view complex resource landscapes, and also the resolutions at which the analysis should proceed; and (2) identifying places which the animal revisits multiple times and performs ARS; for these, we extract two scale‐dependent statistical measures—the mean visit duration and the number of revisits in each place. The association between these measures is suggested as a signature of how animals utilize different habitats or resource types. The framework is validated through computer simulations combining different movement strategies and resource maps. We suggest that the framework provides information that is especially relevant when interpreting movement data in light of optimal behavior models, and which would have remained uncovered by either coarser or finer analyses. |
format | Online Article Text |
id | pubmed-5648670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56486702017-10-26 Inferring detailed space use from movement paths: A unifying, residence time‐based framework Kapota, Dror Dolev, Amit Saltz, David Ecol Evol Original Research The residence time is the amount of time spent within a predefined circle surrounding each point along the movement path of an animal, reflecting its response to resource availability/quality. Two main residence time‐based methods exist in the literature: (1) The variance of residence times along the path plotted against the radius of the circle was suggested to indicate the scale at which the animal perceives its resources; and (2) segments of the path with homogeneous residence times were suggested to indicate distinct behavioral modes, at a certain scale. Here, we modify and integrate these two methods to one framework with two steps of analysis: (1) identifying several distinct, nested scales of area‐restricted search (ARS), providing an indication of how animals view complex resource landscapes, and also the resolutions at which the analysis should proceed; and (2) identifying places which the animal revisits multiple times and performs ARS; for these, we extract two scale‐dependent statistical measures—the mean visit duration and the number of revisits in each place. The association between these measures is suggested as a signature of how animals utilize different habitats or resource types. The framework is validated through computer simulations combining different movement strategies and resource maps. We suggest that the framework provides information that is especially relevant when interpreting movement data in light of optimal behavior models, and which would have remained uncovered by either coarser or finer analyses. John Wiley and Sons Inc. 2017-09-12 /pmc/articles/PMC5648670/ /pubmed/29075466 http://dx.doi.org/10.1002/ece3.3321 Text en © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Kapota, Dror Dolev, Amit Saltz, David Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title | Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title_full | Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title_fullStr | Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title_full_unstemmed | Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title_short | Inferring detailed space use from movement paths: A unifying, residence time‐based framework |
title_sort | inferring detailed space use from movement paths: a unifying, residence time‐based framework |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648670/ https://www.ncbi.nlm.nih.gov/pubmed/29075466 http://dx.doi.org/10.1002/ece3.3321 |
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