Joint species movement modeling: How do traits influence movements?

Autores
Ovaskainen, Otso; Leal Ramos, Danielle; Slade, Eleanor; Merckx, Thomas; Tikhonov, Gleb; Pennanen, Juho; Pizo, Marco Aurélio; Ribeiro, Milton Cezar; Morales, Juan Manuel
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Joint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture–recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species‐specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.
Fil: Ovaskainen, Otso. Norwegian University of Science and Technology; Noruega. University of Helsinki; Finlandia
Fil: Leal Ramos, Danielle. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Slade, Eleanor. University of Oxford; Reino Unido
Fil: Merckx, Thomas. Université Catholique de Louvain; Bélgica
Fil: Tikhonov, Gleb. University of Helsinki; Finlandia
Fil: Pennanen, Juho. University of Helsinki; Finlandia
Fil: Pizo, Marco Aurélio. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Ribeiro, Milton Cezar. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Materia
COMUNITY MODEL
HIERARCHICAL MODEL
MOVEMENT MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/110575
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Joint species movement modeling: How do traits influence movements?Ovaskainen, OtsoLeal Ramos, DanielleSlade, EleanorMerckx, ThomasTikhonov, GlebPennanen, JuhoPizo, Marco AurélioRibeiro, Milton CezarMorales, Juan ManuelCOMUNITY MODELHIERARCHICAL MODELMOVEMENT MODELhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Joint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture–recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species‐specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.Fil: Ovaskainen, Otso. Norwegian University of Science and Technology; Noruega. University of Helsinki; FinlandiaFil: Leal Ramos, Danielle. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Slade, Eleanor. University of Oxford; Reino UnidoFil: Merckx, Thomas. Université Catholique de Louvain; BélgicaFil: Tikhonov, Gleb. University of Helsinki; FinlandiaFil: Pennanen, Juho. University of Helsinki; FinlandiaFil: Pizo, Marco Aurélio. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Ribeiro, Milton Cezar. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaEcological Society of America2019-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/110575Ovaskainen, Otso; Leal Ramos, Danielle ; Slade, Eleanor; Merckx, Thomas; Tikhonov, Gleb; et al.; Joint species movement modeling: How do traits influence movements?; Ecological Society of America; Ecology; 100; 4; 2-2019; 1-80012-96581939-9170CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.2622info:eu-repo/semantics/altIdentifier/doi/10.1002/ecy.2622info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:10:14Zoai:ri.conicet.gov.ar:11336/110575instacron: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:34982025-10-22 11:10:14.596CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Joint species movement modeling: How do traits influence movements?
title Joint species movement modeling: How do traits influence movements?
spellingShingle Joint species movement modeling: How do traits influence movements?
Ovaskainen, Otso
COMUNITY MODEL
HIERARCHICAL MODEL
MOVEMENT MODEL
title_short Joint species movement modeling: How do traits influence movements?
title_full Joint species movement modeling: How do traits influence movements?
title_fullStr Joint species movement modeling: How do traits influence movements?
title_full_unstemmed Joint species movement modeling: How do traits influence movements?
title_sort Joint species movement modeling: How do traits influence movements?
dc.creator.none.fl_str_mv Ovaskainen, Otso
Leal Ramos, Danielle
Slade, Eleanor
Merckx, Thomas
Tikhonov, Gleb
Pennanen, Juho
Pizo, Marco Aurélio
Ribeiro, Milton Cezar
Morales, Juan Manuel
author Ovaskainen, Otso
author_facet Ovaskainen, Otso
Leal Ramos, Danielle
Slade, Eleanor
Merckx, Thomas
Tikhonov, Gleb
Pennanen, Juho
Pizo, Marco Aurélio
Ribeiro, Milton Cezar
Morales, Juan Manuel
author_role author
author2 Leal Ramos, Danielle
Slade, Eleanor
Merckx, Thomas
Tikhonov, Gleb
Pennanen, Juho
Pizo, Marco Aurélio
Ribeiro, Milton Cezar
Morales, Juan Manuel
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COMUNITY MODEL
HIERARCHICAL MODEL
MOVEMENT MODEL
topic COMUNITY MODEL
HIERARCHICAL MODEL
MOVEMENT MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Joint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture–recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species‐specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.
Fil: Ovaskainen, Otso. Norwegian University of Science and Technology; Noruega. University of Helsinki; Finlandia
Fil: Leal Ramos, Danielle. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Slade, Eleanor. University of Oxford; Reino Unido
Fil: Merckx, Thomas. Université Catholique de Louvain; Bélgica
Fil: Tikhonov, Gleb. University of Helsinki; Finlandia
Fil: Pennanen, Juho. University of Helsinki; Finlandia
Fil: Pizo, Marco Aurélio. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Ribeiro, Milton Cezar. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
description Joint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture–recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species‐specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.
publishDate 2019
dc.date.none.fl_str_mv 2019-02
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/11336/110575
Ovaskainen, Otso; Leal Ramos, Danielle ; Slade, Eleanor; Merckx, Thomas; Tikhonov, Gleb; et al.; Joint species movement modeling: How do traits influence movements?; Ecological Society of America; Ecology; 100; 4; 2-2019; 1-8
0012-9658
1939-9170
CONICET Digital
CONICET
url http://hdl.handle.net/11336/110575
identifier_str_mv Ovaskainen, Otso; Leal Ramos, Danielle ; Slade, Eleanor; Merckx, Thomas; Tikhonov, Gleb; et al.; Joint species movement modeling: How do traits influence movements?; Ecological Society of America; Ecology; 100; 4; 2-2019; 1-8
0012-9658
1939-9170
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.2622
info:eu-repo/semantics/altIdentifier/doi/10.1002/ecy.2622
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Ecological Society of America
publisher.none.fl_str_mv Ecological Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv 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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score 12.982451

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