Wandering abatross flight data

Wandering albatrosses exploit wind shear by dynamic soaring, enabling rapid, efficient, long-range flight. To explore this flight mode, we compared the ability of a nonlinear dynamic soaring model and a linear empirical model to explain observed variation of the airspeeds of GPS-tracked albatrosses...

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Main Authors: Richardson, Philip, Wakefield, Ewan
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/7328955
https://doi.org/10.5061/dryad.zs7h44j96
id ftzenodo:oai:zenodo.org:7328955
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7328955 2023-05-15T15:44:44+02:00 Wandering abatross flight data Richardson, Philip Wakefield, Ewan 2022-11-16 https://zenodo.org/record/7328955 https://doi.org/10.5061/dryad.zs7h44j96 unknown doi:10.1186/s40462-018-0121-9 https://zenodo.org/communities/dryad https://zenodo.org/record/7328955 https://doi.org/10.5061/dryad.zs7h44j96 oai:zenodo.org:7328955 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode wandering albatross GPS tracking airspeed dynamic soaring info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5061/dryad.zs7h44j9610.1186/s40462-018-0121-9 2023-03-11T03:46:23Z Wandering albatrosses exploit wind shear by dynamic soaring, enabling rapid, efficient, long-range flight. To explore this flight mode, we compared the ability of a nonlinear dynamic soaring model and a linear empirical model to explain observed variation of the airspeeds of GPS-tracked albatrosses in across-wind flight. In fast winds (> 8 m/s), maximum observed airspeeds reach an asymptote at ~ 20 m/s, whereas the dynamic soaring model predicts much faster airspeeds, up to around 50 m/s. We hypothesize that the birds actively limit airspeed by making fine-scale adjustments to turn angles and soaring heights. Predicted dynamic soaring airspeeds do not extend down to the slowest winds (< 3.2 m/s) of observed flight. We hypothesize that in slow winds wandering albatrosses obtain additional energy from updrafts over water waves. The dynamic soaring model predicts that the minimum wind speed necessary to support dynamic soaring at a cruise airspeed of 16 m/s is 3.2 m/s, achieved via a flight trajectory of linked 137° turns. In reality, observed turn angles are typically ~ 60°. Our simulations suggest that birds may necessarily use smaller turns angles than the theoretical optimum for fast flight in order to limit aerodynamic force on their wings. We include a data file, a metadata file, and a README file grouped together as part of the Wandering albatross flight dataset.Funding provided by: UK Natural Environment Research CouncilCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000270Award Number: NE/M017990/1Funding provided by: Woods Hole Oceanographic InstitutionCrossref Funder Registry ID: http://dx.doi.org/10.13039/100005991Award Number: Emeritus Fund Forty-six wandering albatrosses breeding on Bird Island, South Georgia were tracked by GPS during foraging trips made between February to September 2004. GPS positions were recorded at intervals of 0.5–2.0 hours. In addition, activity loggers recorded saltwater immersion so that time actually spent flying could be estimated. We analyzed only ... Dataset Bird Island Wandering Albatross Zenodo Bird Island ENVELOPE(-38.060,-38.060,-54.004,-54.004)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic wandering albatross
GPS tracking
airspeed
dynamic soaring
spellingShingle wandering albatross
GPS tracking
airspeed
dynamic soaring
Richardson, Philip
Wakefield, Ewan
Wandering abatross flight data
topic_facet wandering albatross
GPS tracking
airspeed
dynamic soaring
description Wandering albatrosses exploit wind shear by dynamic soaring, enabling rapid, efficient, long-range flight. To explore this flight mode, we compared the ability of a nonlinear dynamic soaring model and a linear empirical model to explain observed variation of the airspeeds of GPS-tracked albatrosses in across-wind flight. In fast winds (> 8 m/s), maximum observed airspeeds reach an asymptote at ~ 20 m/s, whereas the dynamic soaring model predicts much faster airspeeds, up to around 50 m/s. We hypothesize that the birds actively limit airspeed by making fine-scale adjustments to turn angles and soaring heights. Predicted dynamic soaring airspeeds do not extend down to the slowest winds (< 3.2 m/s) of observed flight. We hypothesize that in slow winds wandering albatrosses obtain additional energy from updrafts over water waves. The dynamic soaring model predicts that the minimum wind speed necessary to support dynamic soaring at a cruise airspeed of 16 m/s is 3.2 m/s, achieved via a flight trajectory of linked 137° turns. In reality, observed turn angles are typically ~ 60°. Our simulations suggest that birds may necessarily use smaller turns angles than the theoretical optimum for fast flight in order to limit aerodynamic force on their wings. We include a data file, a metadata file, and a README file grouped together as part of the Wandering albatross flight dataset.Funding provided by: UK Natural Environment Research CouncilCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000270Award Number: NE/M017990/1Funding provided by: Woods Hole Oceanographic InstitutionCrossref Funder Registry ID: http://dx.doi.org/10.13039/100005991Award Number: Emeritus Fund Forty-six wandering albatrosses breeding on Bird Island, South Georgia were tracked by GPS during foraging trips made between February to September 2004. GPS positions were recorded at intervals of 0.5–2.0 hours. In addition, activity loggers recorded saltwater immersion so that time actually spent flying could be estimated. We analyzed only ...
format Dataset
author Richardson, Philip
Wakefield, Ewan
author_facet Richardson, Philip
Wakefield, Ewan
author_sort Richardson, Philip
title Wandering abatross flight data
title_short Wandering abatross flight data
title_full Wandering abatross flight data
title_fullStr Wandering abatross flight data
title_full_unstemmed Wandering abatross flight data
title_sort wandering abatross flight data
publishDate 2022
url https://zenodo.org/record/7328955
https://doi.org/10.5061/dryad.zs7h44j96
long_lat ENVELOPE(-38.060,-38.060,-54.004,-54.004)
geographic Bird Island
geographic_facet Bird Island
genre Bird Island
Wandering Albatross
genre_facet Bird Island
Wandering Albatross
op_relation doi:10.1186/s40462-018-0121-9
https://zenodo.org/communities/dryad
https://zenodo.org/record/7328955
https://doi.org/10.5061/dryad.zs7h44j96
oai:zenodo.org:7328955
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.zs7h44j9610.1186/s40462-018-0121-9
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