When to be discrete: the importance of time formulation in understanding animal movement
- Autores
- McClintock, Brett T.; Johnson, Devin S.; Hooten, Mevin B.; Ver Hoef, Jay M.; Morales, Juan Manuel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Animal movement is essential to our understanding of population dynamics, animal behavior, and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting new inferences about animal movement have been facilitated by various specifications of contemporary models. These approaches differ, but most share common themes. One key distinction is whether the underlying movement process is conceptualized in discrete or continuous time. This is perhaps the greatest source of confusion among practitioners, both in terms of implementation and biological interpretation. In general, animal movement occurs in continuous time but we observe it at fixed discrete-time intervals. Thus, continuous time is conceptually and theoretically appealing, but in practice it is perhaps more intuitive to interpret movement in discrete intervals. With an emphasis on state-space models, we explore the differences and similarities between continuous and discrete versions of mechanistic movement models, establish some common terminology, and indicate under which circumstances one form might be preferred over another. Counter to the overly simplistic view that discrete- and continuous-time conceptualizations are merely different means to the same end, we present novel mathematical results revealing hitherto unappreciated consequences of model formulation on inferences about animal movement. Notably, the speed and direction of movement are intrinsically linked in current continuous-time random walk formulations, and this can have important implications when interpreting animal behavior. We illustrate these concepts in the context of state-space models with multiple movement behavior states using northern fur seal (Callorhinus ursinus) biotelemetry data.
Fil: McClintock, Brett T.. National Marine Mammal Laboratory; Estados Unidos
Fil: Johnson, Devin S.. National Marine Mammal Laboratory; Estados Unidos
Fil: Hooten, Mevin B.. State University Of Colorado - Fort Collins; Estados Unidos
Fil: Ver Hoef, Jay M.. National Marine Mammal Laboratory; Estados Unidos
Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina - Materia
-
ANIMAL LOCATION DATA
DIFFUSION
MOVEMENT MODEL
RANDOM WALK - 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:11336/11821
Ver los metadatos del registro completo
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When to be discrete: the importance of time formulation in understanding animal movementMcClintock, Brett T.Johnson, Devin S.Hooten, Mevin B.Ver Hoef, Jay M.Morales, Juan ManuelANIMAL LOCATION DATADIFFUSIONMOVEMENT MODELRANDOM WALKhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Animal movement is essential to our understanding of population dynamics, animal behavior, and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting new inferences about animal movement have been facilitated by various specifications of contemporary models. These approaches differ, but most share common themes. One key distinction is whether the underlying movement process is conceptualized in discrete or continuous time. This is perhaps the greatest source of confusion among practitioners, both in terms of implementation and biological interpretation. In general, animal movement occurs in continuous time but we observe it at fixed discrete-time intervals. Thus, continuous time is conceptually and theoretically appealing, but in practice it is perhaps more intuitive to interpret movement in discrete intervals. With an emphasis on state-space models, we explore the differences and similarities between continuous and discrete versions of mechanistic movement models, establish some common terminology, and indicate under which circumstances one form might be preferred over another. Counter to the overly simplistic view that discrete- and continuous-time conceptualizations are merely different means to the same end, we present novel mathematical results revealing hitherto unappreciated consequences of model formulation on inferences about animal movement. Notably, the speed and direction of movement are intrinsically linked in current continuous-time random walk formulations, and this can have important implications when interpreting animal behavior. We illustrate these concepts in the context of state-space models with multiple movement behavior states using northern fur seal (Callorhinus ursinus) biotelemetry data.Fil: McClintock, Brett T.. National Marine Mammal Laboratory; Estados UnidosFil: Johnson, Devin S.. National Marine Mammal Laboratory; Estados UnidosFil: Hooten, Mevin B.. State University Of Colorado - Fort Collins; Estados UnidosFil: Ver Hoef, Jay M.. National Marine Mammal Laboratory; Estados UnidosFil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; ArgentinaBioMed Central2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11821McClintock, Brett T.; Johnson, Devin S.; Hooten, Mevin B.; Ver Hoef, Jay M.; Morales, Juan Manuel; When to be discrete: the importance of time formulation in understanding animal movement; BioMed Central; Movement Ecology; 2; 21; 9-2014; 1-112051-3933enginfo:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-014-0021-6info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-014-0021-6info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25709830/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 Técnicas2025-09-29T09:46:52Zoai:ri.conicet.gov.ar:11336/11821instacron: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 09:46:52.49CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
When to be discrete: the importance of time formulation in understanding animal movement |
title |
When to be discrete: the importance of time formulation in understanding animal movement |
spellingShingle |
When to be discrete: the importance of time formulation in understanding animal movement McClintock, Brett T. ANIMAL LOCATION DATA DIFFUSION MOVEMENT MODEL RANDOM WALK |
title_short |
When to be discrete: the importance of time formulation in understanding animal movement |
title_full |
When to be discrete: the importance of time formulation in understanding animal movement |
title_fullStr |
When to be discrete: the importance of time formulation in understanding animal movement |
title_full_unstemmed |
When to be discrete: the importance of time formulation in understanding animal movement |
title_sort |
When to be discrete: the importance of time formulation in understanding animal movement |
dc.creator.none.fl_str_mv |
McClintock, Brett T. Johnson, Devin S. Hooten, Mevin B. Ver Hoef, Jay M. Morales, Juan Manuel |
author |
McClintock, Brett T. |
author_facet |
McClintock, Brett T. Johnson, Devin S. Hooten, Mevin B. Ver Hoef, Jay M. Morales, Juan Manuel |
author_role |
author |
author2 |
Johnson, Devin S. Hooten, Mevin B. Ver Hoef, Jay M. Morales, Juan Manuel |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
ANIMAL LOCATION DATA DIFFUSION MOVEMENT MODEL RANDOM WALK |
topic |
ANIMAL LOCATION DATA DIFFUSION MOVEMENT MODEL RANDOM WALK |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Animal movement is essential to our understanding of population dynamics, animal behavior, and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting new inferences about animal movement have been facilitated by various specifications of contemporary models. These approaches differ, but most share common themes. One key distinction is whether the underlying movement process is conceptualized in discrete or continuous time. This is perhaps the greatest source of confusion among practitioners, both in terms of implementation and biological interpretation. In general, animal movement occurs in continuous time but we observe it at fixed discrete-time intervals. Thus, continuous time is conceptually and theoretically appealing, but in practice it is perhaps more intuitive to interpret movement in discrete intervals. With an emphasis on state-space models, we explore the differences and similarities between continuous and discrete versions of mechanistic movement models, establish some common terminology, and indicate under which circumstances one form might be preferred over another. Counter to the overly simplistic view that discrete- and continuous-time conceptualizations are merely different means to the same end, we present novel mathematical results revealing hitherto unappreciated consequences of model formulation on inferences about animal movement. Notably, the speed and direction of movement are intrinsically linked in current continuous-time random walk formulations, and this can have important implications when interpreting animal behavior. We illustrate these concepts in the context of state-space models with multiple movement behavior states using northern fur seal (Callorhinus ursinus) biotelemetry data. Fil: McClintock, Brett T.. National Marine Mammal Laboratory; Estados Unidos Fil: Johnson, Devin S.. National Marine Mammal Laboratory; Estados Unidos Fil: Hooten, Mevin B.. State University Of Colorado - Fort Collins; Estados Unidos Fil: Ver Hoef, Jay M.. National Marine Mammal Laboratory; Estados Unidos Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina |
description |
Animal movement is essential to our understanding of population dynamics, animal behavior, and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting new inferences about animal movement have been facilitated by various specifications of contemporary models. These approaches differ, but most share common themes. One key distinction is whether the underlying movement process is conceptualized in discrete or continuous time. This is perhaps the greatest source of confusion among practitioners, both in terms of implementation and biological interpretation. In general, animal movement occurs in continuous time but we observe it at fixed discrete-time intervals. Thus, continuous time is conceptually and theoretically appealing, but in practice it is perhaps more intuitive to interpret movement in discrete intervals. With an emphasis on state-space models, we explore the differences and similarities between continuous and discrete versions of mechanistic movement models, establish some common terminology, and indicate under which circumstances one form might be preferred over another. Counter to the overly simplistic view that discrete- and continuous-time conceptualizations are merely different means to the same end, we present novel mathematical results revealing hitherto unappreciated consequences of model formulation on inferences about animal movement. Notably, the speed and direction of movement are intrinsically linked in current continuous-time random walk formulations, and this can have important implications when interpreting animal behavior. We illustrate these concepts in the context of state-space models with multiple movement behavior states using northern fur seal (Callorhinus ursinus) biotelemetry data. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09 |
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/11336/11821 McClintock, Brett T.; Johnson, Devin S.; Hooten, Mevin B.; Ver Hoef, Jay M.; Morales, Juan Manuel; When to be discrete: the importance of time formulation in understanding animal movement; BioMed Central; Movement Ecology; 2; 21; 9-2014; 1-11 2051-3933 |
url |
http://hdl.handle.net/11336/11821 |
identifier_str_mv |
McClintock, Brett T.; Johnson, Devin S.; Hooten, Mevin B.; Ver Hoef, Jay M.; Morales, Juan Manuel; When to be discrete: the importance of time formulation in understanding animal movement; BioMed Central; Movement Ecology; 2; 21; 9-2014; 1-11 2051-3933 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-014-0021-6 info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-014-0021-6 info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25709830/ |
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 |
BioMed Central |
publisher.none.fl_str_mv |
BioMed Central |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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