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Characterization of bird formations using fuzzy modelling
The investigation of the emergent collective behaviour in flying birds is a challenging task, yet it has always fascinated scientists from different disciplines. In the attempt of studying and modelling line formation, we collected high-precision position data of 29 free-flying northern bald ibises...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929497/ https://www.ncbi.nlm.nih.gov/pubmed/36789511 http://dx.doi.org/10.1098/rsif.2022.0798 |
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author | Perinot, Elisa Fritz, Johannes Fusani, Leonida Voelkl, Bernhard Nobile, Marco S. |
author_facet | Perinot, Elisa Fritz, Johannes Fusani, Leonida Voelkl, Bernhard Nobile, Marco S. |
author_sort | Perinot, Elisa |
collection | PubMed |
description | The investigation of the emergent collective behaviour in flying birds is a challenging task, yet it has always fascinated scientists from different disciplines. In the attempt of studying and modelling line formation, we collected high-precision position data of 29 free-flying northern bald ibises (Geronticus eremita) using Global Navigation Satellite System loggers, to investigate whether the spatial relationships within a flock can be explained by birds maintaining energetically advantageous positions. Specifically, we exploited domain knowledge and available literature information to model by means of fuzzy logic where the air vortices lie behind a flying bird. This allowed us to determine when a leading bird provides the upwash to a following bird, reducing its overall effort. Our results show that the fuzzy model allows to easily distinguish which bird is flying in the wake of another individual, provides a clear indication about flying flock dynamics and also gives a hint about birds' social relationships. |
format | Online Article Text |
id | pubmed-9929497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99294972023-02-16 Characterization of bird formations using fuzzy modelling Perinot, Elisa Fritz, Johannes Fusani, Leonida Voelkl, Bernhard Nobile, Marco S. J R Soc Interface Life Sciences–Earth Science interface The investigation of the emergent collective behaviour in flying birds is a challenging task, yet it has always fascinated scientists from different disciplines. In the attempt of studying and modelling line formation, we collected high-precision position data of 29 free-flying northern bald ibises (Geronticus eremita) using Global Navigation Satellite System loggers, to investigate whether the spatial relationships within a flock can be explained by birds maintaining energetically advantageous positions. Specifically, we exploited domain knowledge and available literature information to model by means of fuzzy logic where the air vortices lie behind a flying bird. This allowed us to determine when a leading bird provides the upwash to a following bird, reducing its overall effort. Our results show that the fuzzy model allows to easily distinguish which bird is flying in the wake of another individual, provides a clear indication about flying flock dynamics and also gives a hint about birds' social relationships. The Royal Society 2023-02-15 /pmc/articles/PMC9929497/ /pubmed/36789511 http://dx.doi.org/10.1098/rsif.2022.0798 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Earth Science interface Perinot, Elisa Fritz, Johannes Fusani, Leonida Voelkl, Bernhard Nobile, Marco S. Characterization of bird formations using fuzzy modelling |
title | Characterization of bird formations using fuzzy modelling |
title_full | Characterization of bird formations using fuzzy modelling |
title_fullStr | Characterization of bird formations using fuzzy modelling |
title_full_unstemmed | Characterization of bird formations using fuzzy modelling |
title_short | Characterization of bird formations using fuzzy modelling |
title_sort | characterization of bird formations using fuzzy modelling |
topic | Life Sciences–Earth Science interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929497/ https://www.ncbi.nlm.nih.gov/pubmed/36789511 http://dx.doi.org/10.1098/rsif.2022.0798 |
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