Energy landscapes shape animal movement ecology
- Autores
- Shepard, Emily L. C.; Wilson, Rory P.; Rees, W. Gareth; Grundy, Edward; Lambertucci, Sergio Agustin; Vosper, Simon B.
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The metabolic costs of animal movement have been studied extensively under laboratory conditions, although frequently these are a poor approximation of the costs of operating in the natural, heterogeneous environment. Construction of “energy landscapes,” which relate animal locality to the cost of transport, can clarify whether, to what extent, and how movement properties are attributable to environmental heterogeneity. Although behavioral responses to aspects of the energy landscape are well documented in some fields (notably, the selection of tailwinds by aerial migrants) and scales (typically large), the principles of the energy landscape extend across habitat types and spatial scales. We provide a brief synthesis of the mechanisms by which environmentally driven changes in the cost of transport can modulate the behavioral ecology of animal movement in different media, develop example cost functions for movement in heterogeneous environments, present methods for visualizing these energy landscapes, and derive specific predictions of expected outcomes from individual- to population- and species-level processes. Animals modulate a suite of movement parameters (e.g., route, speed, timing of movement, and tortuosity) in relation to the energy landscape, with the nature of their response being related to the energy savings available. Overall, variation in movement costs influences the quality of habitat patches and causes nonrandom movement of individuals between them. This can provide spatial and/or temporal structure to a range of population- and species-level processes, ultimately including gene flow. Advances in animal-attached technology and geographic information systems are opening up new avenues for measuring and mapping energy landscapes that are likely to provide new insight into their influence in animal ecology.
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
Fil: Wilson, Rory P.. Swansea University; Reino Unido
Fil: Rees, W. Gareth. University of Cambridge; Reino Unido
Fil: Grundy, Edward. Swansea University; Reino Unido
Fil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Vosper, Simon B.. Met Office; Reino Unido - Materia
-
ENERGY LANDSCAPES
ANIMAL MOVEMENT
COST OF TRANSPORT
BIOTELEMETRY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6755
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spelling |
Energy landscapes shape animal movement ecologyShepard, Emily L. C.Wilson, Rory P.Rees, W. GarethGrundy, EdwardLambertucci, Sergio AgustinVosper, Simon B.ENERGY LANDSCAPESANIMAL MOVEMENTCOST OF TRANSPORTBIOTELEMETRYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The metabolic costs of animal movement have been studied extensively under laboratory conditions, although frequently these are a poor approximation of the costs of operating in the natural, heterogeneous environment. Construction of “energy landscapes,” which relate animal locality to the cost of transport, can clarify whether, to what extent, and how movement properties are attributable to environmental heterogeneity. Although behavioral responses to aspects of the energy landscape are well documented in some fields (notably, the selection of tailwinds by aerial migrants) and scales (typically large), the principles of the energy landscape extend across habitat types and spatial scales. We provide a brief synthesis of the mechanisms by which environmentally driven changes in the cost of transport can modulate the behavioral ecology of animal movement in different media, develop example cost functions for movement in heterogeneous environments, present methods for visualizing these energy landscapes, and derive specific predictions of expected outcomes from individual- to population- and species-level processes. Animals modulate a suite of movement parameters (e.g., route, speed, timing of movement, and tortuosity) in relation to the energy landscape, with the nature of their response being related to the energy savings available. Overall, variation in movement costs influences the quality of habitat patches and causes nonrandom movement of individuals between them. This can provide spatial and/or temporal structure to a range of population- and species-level processes, ultimately including gene flow. Advances in animal-attached technology and geographic information systems are opening up new avenues for measuring and mapping energy landscapes that are likely to provide new insight into their influence in animal ecology.Fil: Shepard, Emily L. C.. Swansea University; Reino UnidoFil: Wilson, Rory P.. Swansea University; Reino UnidoFil: Rees, W. Gareth. University of Cambridge; Reino UnidoFil: Grundy, Edward. Swansea University; Reino UnidoFil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; ArgentinaFil: Vosper, Simon B.. Met Office; Reino UnidoUniversity Of Chicago Press2013-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6755Shepard, Emily L. C.; Wilson, Rory P.; Rees, W. Gareth; Grundy, Edward; Lambertucci, Sergio Agustin; et al.; Energy landscapes shape animal movement ecology; University Of Chicago Press; American Naturalist; 182; 3; 9-2013; 298-3120003-0147enginfo:eu-repo/semantics/altIdentifier/url/http://www.journals.uchicago.edu/doi/10.1086/671257info:eu-repo/semantics/altIdentifier/doi/10.1086/671257info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:14:39Zoai:ri.conicet.gov.ar:11336/6755instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:14:39.585CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Energy landscapes shape animal movement ecology |
title |
Energy landscapes shape animal movement ecology |
spellingShingle |
Energy landscapes shape animal movement ecology Shepard, Emily L. C. ENERGY LANDSCAPES ANIMAL MOVEMENT COST OF TRANSPORT BIOTELEMETRY |
title_short |
Energy landscapes shape animal movement ecology |
title_full |
Energy landscapes shape animal movement ecology |
title_fullStr |
Energy landscapes shape animal movement ecology |
title_full_unstemmed |
Energy landscapes shape animal movement ecology |
title_sort |
Energy landscapes shape animal movement ecology |
dc.creator.none.fl_str_mv |
Shepard, Emily L. C. Wilson, Rory P. Rees, W. Gareth Grundy, Edward Lambertucci, Sergio Agustin Vosper, Simon B. |
author |
Shepard, Emily L. C. |
author_facet |
Shepard, Emily L. C. Wilson, Rory P. Rees, W. Gareth Grundy, Edward Lambertucci, Sergio Agustin Vosper, Simon B. |
author_role |
author |
author2 |
Wilson, Rory P. Rees, W. Gareth Grundy, Edward Lambertucci, Sergio Agustin Vosper, Simon B. |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
ENERGY LANDSCAPES ANIMAL MOVEMENT COST OF TRANSPORT BIOTELEMETRY |
topic |
ENERGY LANDSCAPES ANIMAL MOVEMENT COST OF TRANSPORT BIOTELEMETRY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The metabolic costs of animal movement have been studied extensively under laboratory conditions, although frequently these are a poor approximation of the costs of operating in the natural, heterogeneous environment. Construction of “energy landscapes,” which relate animal locality to the cost of transport, can clarify whether, to what extent, and how movement properties are attributable to environmental heterogeneity. Although behavioral responses to aspects of the energy landscape are well documented in some fields (notably, the selection of tailwinds by aerial migrants) and scales (typically large), the principles of the energy landscape extend across habitat types and spatial scales. We provide a brief synthesis of the mechanisms by which environmentally driven changes in the cost of transport can modulate the behavioral ecology of animal movement in different media, develop example cost functions for movement in heterogeneous environments, present methods for visualizing these energy landscapes, and derive specific predictions of expected outcomes from individual- to population- and species-level processes. Animals modulate a suite of movement parameters (e.g., route, speed, timing of movement, and tortuosity) in relation to the energy landscape, with the nature of their response being related to the energy savings available. Overall, variation in movement costs influences the quality of habitat patches and causes nonrandom movement of individuals between them. This can provide spatial and/or temporal structure to a range of population- and species-level processes, ultimately including gene flow. Advances in animal-attached technology and geographic information systems are opening up new avenues for measuring and mapping energy landscapes that are likely to provide new insight into their influence in animal ecology. Fil: Shepard, Emily L. C.. Swansea University; Reino Unido Fil: Wilson, Rory P.. Swansea University; Reino Unido Fil: Rees, W. Gareth. University of Cambridge; Reino Unido Fil: Grundy, Edward. Swansea University; Reino Unido Fil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina Fil: Vosper, Simon B.. Met Office; Reino Unido |
description |
The metabolic costs of animal movement have been studied extensively under laboratory conditions, although frequently these are a poor approximation of the costs of operating in the natural, heterogeneous environment. Construction of “energy landscapes,” which relate animal locality to the cost of transport, can clarify whether, to what extent, and how movement properties are attributable to environmental heterogeneity. Although behavioral responses to aspects of the energy landscape are well documented in some fields (notably, the selection of tailwinds by aerial migrants) and scales (typically large), the principles of the energy landscape extend across habitat types and spatial scales. We provide a brief synthesis of the mechanisms by which environmentally driven changes in the cost of transport can modulate the behavioral ecology of animal movement in different media, develop example cost functions for movement in heterogeneous environments, present methods for visualizing these energy landscapes, and derive specific predictions of expected outcomes from individual- to population- and species-level processes. Animals modulate a suite of movement parameters (e.g., route, speed, timing of movement, and tortuosity) in relation to the energy landscape, with the nature of their response being related to the energy savings available. Overall, variation in movement costs influences the quality of habitat patches and causes nonrandom movement of individuals between them. This can provide spatial and/or temporal structure to a range of population- and species-level processes, ultimately including gene flow. Advances in animal-attached technology and geographic information systems are opening up new avenues for measuring and mapping energy landscapes that are likely to provide new insight into their influence in animal ecology. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/6755 Shepard, Emily L. C.; Wilson, Rory P.; Rees, W. Gareth; Grundy, Edward; Lambertucci, Sergio Agustin; et al.; Energy landscapes shape animal movement ecology; University Of Chicago Press; American Naturalist; 182; 3; 9-2013; 298-312 0003-0147 |
url |
http://hdl.handle.net/11336/6755 |
identifier_str_mv |
Shepard, Emily L. C.; Wilson, Rory P.; Rees, W. Gareth; Grundy, Edward; Lambertucci, Sergio Agustin; et al.; Energy landscapes shape animal movement ecology; University Of Chicago Press; American Naturalist; 182; 3; 9-2013; 298-312 0003-0147 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.journals.uchicago.edu/doi/10.1086/671257 info:eu-repo/semantics/altIdentifier/doi/10.1086/671257 info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
University Of Chicago Press |
publisher.none.fl_str_mv |
University Of Chicago Press |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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