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  5. Long walk home: Magellanic penguins have strategies that lead them to areas where they can navigate most efficiently

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Article
en
2022

Long walk home: Magellanic penguins have strategies that lead them to areas where they can navigate most efficiently

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0 Files

$0 Value

en
2022
Vol 289 (1977)
Vol. 289
DOI: 10.1098/rspb.2022.0535

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Carlos M. Duarte
Carlos M. Duarte

King Abdullah University of Science and Technology

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Flavio Quintana
Agustina Gómez‐Laich
Richard Gunner
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Abstract

Understanding how animals move in dense environments where vision is compromised is a major challenge. We used GPS and dead-reckoning to examine the movement of Magellanic penguins commuting through vegetation that precluded long-distance vision. Birds leaving the nest followed the shortest, quickest route to the sea (the ‘ideal path’, or ' I-path ') but return tracks depended where the birds left the water. Penguins arriving at the beach departure spot mirrored the departure. Most of those landing at a distance from the departure spot travelled slowly, obliquely to the coast at a more acute angle than a beeline trajectory to the nest. On crossing their I-path , these birds then followed this route quickly to their nests. This movement strategy saves birds distance, time and energy compared to a route along the beach and the into the colony on the I-track and saves time and energy compared to a beeline trajectory which necessitates slow travel in unfamiliar areas. This suggests that some animals adopt tactics that take them to an area where their navigational capacities are enhanced for efficient travel in challenging environments.

How to cite this publication

Flavio Quintana, Agustina Gómez‐Laich, Richard Gunner, Fabián M. Gabelli, Giacomo Dell ‘Omo, Carlos M. Duarte, Martín I. Brogger, Rory P. Wilson (2022). Long walk home: Magellanic penguins have strategies that lead them to areas where they can navigate most efficiently. , 289(1977), DOI: https://doi.org/10.1098/rspb.2022.0535.

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Publication Details

Type

Article

Year

2022

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1098/rspb.2022.0535

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