AustralieFrV1, PascalFrancis, Curation, bibRecord, 005D31

Route optimisation and solving Zermelo's navigation problem during long distance migration in cross flows

Identifieur interne : 005D31 ( PascalFrancis/Curation ); précédent : 005D30; suivant : 005D32

Route optimisation and solving Zermelo's navigation problem during long distance migration in cross flows

Auteurs : Graeme C. Hays [Australie, Royaume-Uni] ; Asbj Rn Christensen [Danemark] ; Sabrina Fossette [Royaume-Uni, États-Unis] ; Gail Schofield [Australie, Royaume-Uni] ; Julian Talbot [France] ; Patrizio Mariani [Danemark]

Source :

Ecology letters : (Print) [ 1461-023X ] ; 2014.

RBID : Pascal:15-0016135

Descripteurs français

Pascal (Inist)
- Optimisation, Résolution (math), Navigation, Longue distance, Migration, Télémétrie.
Wicri :
- topic : Migration.

English descriptors

KwdEn :
- Long distance, Migration, Navigation, Optimization, Range finding, Solving.

Abstract

The optimum path to follow when subjected to cross flows was first considered over 80 years ago by the German mathematician Ernst Zermelo, in the context of a boat being displaced by ocean currents, and has become known as the 'Zermelo navigation problem'. However, the ability of migrating animals to solve this problem has received limited consideration, even though wind and ocean currents cause the lateral displacement of flyers and swimmers, respectively, particularly during long-distance journeys of 1000s of kilometres. Here, we examine this problem by combining long-distance, open-ocean marine turtle movements (obtained via long-term GPS tracking of sea turtles moving 1000s of km), with a high resolution basin-wide physical ocean model to estimate ocean currents. We provide a robust mathematical framework to demonstrate that, while turtles eventually arrive at their target site, they do not follow the optimum (Zermelo's) route. Even though adult marine turtles regularly complete incredible long-distance migrations, these vertebrates primarily rely on course corrections when entering neritic waters during the final stages of migration. Our work introduces a new perspective in the analysis of wildlife tracking datasets, with different animal groups potentially exhibiting different levels of complexity in goal attainment during migration.

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A11	`01`	`1`		`@1 HAYS (Graeme C.)`
A11	`02`	`1`		`@1 CHRISTENSEN (Asbjørn)`
A11	`03`	`1`		`@1 FOSSETTE (Sabrina)`
A11	`04`	`1`		`@1 SCHOFIELD (Gail)`
A11	`05`	`1`		`@1 TALBOT (Julian)`
A11	`06`	`1`		`@1 MARIANI (Patrizio)`
A14	`01`			`@1 Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University @2 Warrnambool, Vic, 3280 @3 AUS @Z 1 aut. @Z 4 aut.`
A14	`02`			`@1 Department of Biosciences, Swansea University @2 Swansea, SA2 8PP @3 GBR @Z 1 aut. @Z 3 aut. @Z 4 aut.`
A14	`03`			`@1 Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark, Jægersborg Alle 1 @2 2920, Charlottenlund @3 DNK @Z 2 aut. @Z 6 aut.`
A14	`04`			`@1 Environmental Research Division, SWFSC, NOAA @2 Pacific Grove, CA, 93950 @3 USA @Z 3 aut.`
A14	`05`			`@1 Laboratoire de Physique Théorique de la Matière Condensée, UPMC, CNRS UMR 7600, 4, place Jussieu @2 75252 Paris @3 FRA @Z 5 aut.`
A20				`@1 137-143`
A21				`@1 2014`
A23	`01`			`@0 ENG`
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A44				`@0 0000 @1 © 2015 INIST-CNRS. All rights reserved.`
A45				`@0 1/2 p.`
A47	`01`	`1`		`@0 15-0016135`
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C01	`01`		`ENG`	@0 The optimum path to follow when subjected to cross flows was first considered over 80 years ago by the German mathematician Ernst Zermelo, in the context of a boat being displaced by ocean currents, and has become known as the 'Zermelo navigation problem'. However, the ability of migrating animals to solve this problem has received limited consideration, even though wind and ocean currents cause the lateral displacement of flyers and swimmers, respectively, particularly during long-distance journeys of 1000s of kilometres. Here, we examine this problem by combining long-distance, open-ocean marine turtle movements (obtained via long-term GPS tracking of sea turtles moving 1000s of km), with a high resolution basin-wide physical ocean model to estimate ocean currents. We provide a robust mathematical framework to demonstrate that, while turtles eventually arrive at their target site, they do not follow the optimum (Zermelo's) route. Even though adult marine turtles regularly complete incredible long-distance migrations, these vertebrates primarily rely on course corrections when entering neritic waters during the final stages of migration. Our work introduces a new perspective in the analysis of wildlife tracking datasets, with different animal groups potentially exhibiting different levels of complexity in goal attainment during migration.
C02	`01`	`X`		`@0 002A14B01`
C03	`01`	`X`	`FRE`	`@0 Optimisation @5 01`
C03	`01`	`X`	`ENG`	`@0 Optimization @5 01`
C03	`01`	`X`	`SPA`	`@0 Optimización @5 01`
C03	`02`	`X`	`FRE`	`@0 Résolution (math) @5 02`
C03	`02`	`X`	`ENG`	`@0 Solving @5 02`
C03	`02`	`X`	`SPA`	`@0 Resolución (matemática) @5 02`
C03	`03`	`X`	`FRE`	`@0 Navigation @5 03`
C03	`03`	`X`	`ENG`	`@0 Navigation @5 03`
C03	`03`	`X`	`SPA`	`@0 Navegación @5 03`
C03	`04`	`X`	`FRE`	`@0 Longue distance @5 04`
C03	`04`	`X`	`ENG`	`@0 Long distance @5 04`
C03	`04`	`X`	`SPA`	`@0 Larga distancia @5 04`
C03	`05`	`X`	`FRE`	`@0 Migration @5 05`
C03	`05`	`X`	`ENG`	`@0 Migration @5 05`
C03	`05`	`X`	`SPA`	`@0 Migración @5 05`
C03	`06`	`X`	`FRE`	`@0 Télémétrie @5 06`
C03	`06`	`X`	`ENG`	`@0 Range finding @5 06`
C03	`06`	`X`	`SPA`	`@0 Telemetría @5 06`
N21				`@1 019`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

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Le document en format XML

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<front><div type="abstract" xml:lang="en">The optimum path to follow when subjected to cross flows was first considered over 80 years ago by the German mathematician Ernst Zermelo, in the context of a boat being displaced by ocean currents, and has become known as the 'Zermelo navigation problem'. However, the ability of migrating animals to solve this problem has received limited consideration, even though wind and ocean currents cause the lateral displacement of flyers and swimmers, respectively, particularly during long-distance journeys of 1000s of kilometres. Here, we examine this problem by combining long-distance, open-ocean marine turtle movements (obtained via long-term GPS tracking of sea turtles moving 1000s of km), with a high resolution basin-wide physical ocean model to estimate ocean currents. We provide a robust mathematical framework to demonstrate that, while turtles eventually arrive at their target site, they do not follow the optimum (Zermelo's) route. Even though adult marine turtles regularly complete incredible long-distance migrations, these vertebrates primarily rely on course corrections when entering neritic waters during the final stages of migration. Our work introduces a new perspective in the analysis of wildlife tracking datasets, with different animal groups potentially exhibiting different levels of complexity in goal attainment during migration.</div>
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<fA11 i1="01" i2="1"><s1>HAYS (Graeme C.)</s1>
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<fA14 i1="01"><s1>Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University</s1>
<s2>Warrnambool, Vic, 3280</s2>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Department of Biosciences, Swansea University</s1>
<s2>Swansea, SA2 8PP</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
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<fA14 i1="03"><s1>Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark, Jægersborg Alle 1</s1>
<s2>2920, Charlottenlund</s2>
<s3>DNK</s3>
<sZ>2 aut.</sZ>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Environmental Research Division, SWFSC, NOAA</s1>
<s2>Pacific Grove, CA, 93950</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Laboratoire de Physique Théorique de la Matière Condensée, UPMC, CNRS UMR 7600, 4, place Jussieu</s1>
<s2>75252 Paris</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
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<fC01 i1="01" l="ENG"><s0>The optimum path to follow when subjected to cross flows was first considered over 80 years ago by the German mathematician Ernst Zermelo, in the context of a boat being displaced by ocean currents, and has become known as the 'Zermelo navigation problem'. However, the ability of migrating animals to solve this problem has received limited consideration, even though wind and ocean currents cause the lateral displacement of flyers and swimmers, respectively, particularly during long-distance journeys of 1000s of kilometres. Here, we examine this problem by combining long-distance, open-ocean marine turtle movements (obtained via long-term GPS tracking of sea turtles moving 1000s of km), with a high resolution basin-wide physical ocean model to estimate ocean currents. We provide a robust mathematical framework to demonstrate that, while turtles eventually arrive at their target site, they do not follow the optimum (Zermelo's) route. Even though adult marine turtles regularly complete incredible long-distance migrations, these vertebrates primarily rely on course corrections when entering neritic waters during the final stages of migration. Our work introduces a new perspective in the analysis of wildlife tracking datasets, with different animal groups potentially exhibiting different levels of complexity in goal attainment during migration.</s0>
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<fC03 i1="03" i2="X" l="SPA"><s0>Navegación</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Longue distance</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Long distance</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Larga distancia</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Migration</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Migration</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Migración</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Télémétrie</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Range finding</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Telemetría</s0>
<s5>06</s5>
</fC03>
<fN21><s1>019</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    PascalFrancis
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   |clé=     Pascal:15-0016135
   |texte=   Route optimisation and solving Zermelo's navigation problem during long distance migration in cross flows
}}

This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

	Serveur d'exploration sur les relations entre la France et l'Australie
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Serveur d'exploration sur les relations entre la France et l'Australie

Route optimisation and solving Zermelo's navigation problem during long distance migration in cross flows

Route optimisation and solving Zermelo's navigation problem during long distance migration in cross flows

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