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Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers
BACKGROUND: Recursive movement patterns have been used to detect behavioral structure within individual movement trajectories in the context of foraging ecology, home-ranging behavior, and predator avoidance. Some animals exhibit movement recursions to locations that are tied to reproductive functio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268620/ https://www.ncbi.nlm.nih.gov/pubmed/32518652 http://dx.doi.org/10.1186/s40462-020-00201-1 |
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author | Picardi, Simona Smith, Brian J. Boone, Matthew E. Frederick, Peter C. Cecere, Jacopo G. Rubolini, Diego Serra, Lorenzo Pirrello, Simone Borkhataria, Rena R. Basille, Mathieu |
author_facet | Picardi, Simona Smith, Brian J. Boone, Matthew E. Frederick, Peter C. Cecere, Jacopo G. Rubolini, Diego Serra, Lorenzo Pirrello, Simone Borkhataria, Rena R. Basille, Mathieu |
author_sort | Picardi, Simona |
collection | PubMed |
description | BACKGROUND: Recursive movement patterns have been used to detect behavioral structure within individual movement trajectories in the context of foraging ecology, home-ranging behavior, and predator avoidance. Some animals exhibit movement recursions to locations that are tied to reproductive functions, including nests and dens; while existing literature recognizes that, no method is currently available to explicitly target different types of revisited locations. Moreover, the temporal persistence of recursive movements to a breeding location can carry information regarding the fate of breeding attempts, but it has never been used as a metric to quantify recursive movement patterns. Here, we introduce a method to locate breeding attempts and estimate their fate from GPS-tracking data of central place foragers. We tested the performance of our method in three bird species differing in breeding ecology (wood stork (Mycteria americana), lesser kestrel (Falco naumanni), Mediterranean gull (Ichthyaetus melanocephalus)) and implemented it in the R package ‘nestR’. METHODS: We identified breeding sites based on the analysis of recursive movements within individual tracks. Using trajectories with known breeding attempts, we estimated a set of species-specific criteria for the identification of nest sites, which we further validated using non-reproductive individuals as controls. We then estimated individual nest survival as a binary measure of reproductive fate (success, corresponding to fledging of at least one chick, or failure) from nest-site revisitation histories during breeding attempts, using a Bayesian hierarchical modeling approach that accounted for temporally variable revisitation patterns, probability of visit detection, and missing data. RESULTS: Across the three species, positive predictive value of the nest-site detection algorithm varied between 87 and 100% and sensitivity between 88 and 92%, and we correctly estimated the fate of 86–100% breeding attempts. CONCLUSIONS: By providing a method to formally distinguish among revisited locations that serve different ecological functions and introducing a probabilistic framework to quantify temporal persistence of movement recursions, we demonstrated how the analysis of recursive movement patterns can be applied to estimate reproduction in central place foragers. Beyond avian species, the principles of our method can be applied to other central place foraging breeders such as denning mammals. Our method estimates a component of individual fitness from movement data and will help bridge the gap between movement behavior, environmental factors, and their fitness consequences. |
format | Online Article Text |
id | pubmed-7268620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72686202020-06-08 Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers Picardi, Simona Smith, Brian J. Boone, Matthew E. Frederick, Peter C. Cecere, Jacopo G. Rubolini, Diego Serra, Lorenzo Pirrello, Simone Borkhataria, Rena R. Basille, Mathieu Mov Ecol Methodology Article BACKGROUND: Recursive movement patterns have been used to detect behavioral structure within individual movement trajectories in the context of foraging ecology, home-ranging behavior, and predator avoidance. Some animals exhibit movement recursions to locations that are tied to reproductive functions, including nests and dens; while existing literature recognizes that, no method is currently available to explicitly target different types of revisited locations. Moreover, the temporal persistence of recursive movements to a breeding location can carry information regarding the fate of breeding attempts, but it has never been used as a metric to quantify recursive movement patterns. Here, we introduce a method to locate breeding attempts and estimate their fate from GPS-tracking data of central place foragers. We tested the performance of our method in three bird species differing in breeding ecology (wood stork (Mycteria americana), lesser kestrel (Falco naumanni), Mediterranean gull (Ichthyaetus melanocephalus)) and implemented it in the R package ‘nestR’. METHODS: We identified breeding sites based on the analysis of recursive movements within individual tracks. Using trajectories with known breeding attempts, we estimated a set of species-specific criteria for the identification of nest sites, which we further validated using non-reproductive individuals as controls. We then estimated individual nest survival as a binary measure of reproductive fate (success, corresponding to fledging of at least one chick, or failure) from nest-site revisitation histories during breeding attempts, using a Bayesian hierarchical modeling approach that accounted for temporally variable revisitation patterns, probability of visit detection, and missing data. RESULTS: Across the three species, positive predictive value of the nest-site detection algorithm varied between 87 and 100% and sensitivity between 88 and 92%, and we correctly estimated the fate of 86–100% breeding attempts. CONCLUSIONS: By providing a method to formally distinguish among revisited locations that serve different ecological functions and introducing a probabilistic framework to quantify temporal persistence of movement recursions, we demonstrated how the analysis of recursive movement patterns can be applied to estimate reproduction in central place foragers. Beyond avian species, the principles of our method can be applied to other central place foraging breeders such as denning mammals. Our method estimates a component of individual fitness from movement data and will help bridge the gap between movement behavior, environmental factors, and their fitness consequences. BioMed Central 2020-06-03 /pmc/articles/PMC7268620/ /pubmed/32518652 http://dx.doi.org/10.1186/s40462-020-00201-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Article Picardi, Simona Smith, Brian J. Boone, Matthew E. Frederick, Peter C. Cecere, Jacopo G. Rubolini, Diego Serra, Lorenzo Pirrello, Simone Borkhataria, Rena R. Basille, Mathieu Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title_full | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title_fullStr | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title_full_unstemmed | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title_short | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
title_sort | analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268620/ https://www.ncbi.nlm.nih.gov/pubmed/32518652 http://dx.doi.org/10.1186/s40462-020-00201-1 |
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