Joint species movement modeling: how do traits influence movements?
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/ecy.2622 http://hdl.handle.net/11449/190243 |
Resumo: | 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. |
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Repositório Institucional da UNESP |
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Joint species movement modeling: how do traits influence movements?birdscommunity modelhierarchical modeljoint species modelmothsmovement modelstatistical modelJoint 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.Norges ForskningsrådAcademy of FinlandOrganismal and Evolutionary Biology Research Programme University of Helsinki, P.O. Box 65Department of Biology Centre for Biodiversity Dynamics Norwegian University of Science and TechnologyDepartamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP)Department of Zoology University of Oxford, South Parks RoadBehavioural Ecology and Conservation Group Biodiversity Research Centre Earth and Life Institute UCLouvain, Croix du Sud 4-5, bte L7.07.04Departamento de Zoologia Instituto de Biociências Universidade Estadual Paulista (Unesp)Grupo de Ecología Cuantitativa INIBIOMA-CRUB CONICET, Avenida Pioneros 2350, S.C. de BarilocheDepartamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP)Departamento de Zoologia Instituto de Biociências Universidade Estadual Paulista (Unesp)Norges Forskningsråd: 223257Academy of Finland: 273253Academy of Finland: 284601Academy of Finland: 309581University of HelsinkiNorwegian University of Science and TechnologyUniversidade Estadual Paulista (Unesp)University of OxfordUCLouvainCONICETOvaskainen, OtsoRamos, Danielle Leal [UNESP]Slade, Eleanor M.Merckx, ThomasTikhonov, GlebPennanen, JuhoPizo, Marco Aurélio [UNESP]Ribeiro, Milton Cezar [UNESP]Morales, Juan Manuel2019-10-06T17:06:53Z2019-10-06T17:06:53Z2019-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/ecy.2622Ecology, v. 100, n. 4, 2019.0012-9658http://hdl.handle.net/11449/19024310.1002/ecy.26222-s2.0-850636900594158685235743119Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEcologyinfo:eu-repo/semantics/openAccess2021-10-23T10:18:41Zoai:repositorio.unesp.br:11449/190243Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:02:14.793085Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
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 birds community model hierarchical model joint species model moths movement model statistical 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? |
author |
Ovaskainen, Otso |
author_facet |
Ovaskainen, Otso Ramos, Danielle Leal [UNESP] Slade, Eleanor M. Merckx, Thomas Tikhonov, Gleb Pennanen, Juho Pizo, Marco Aurélio [UNESP] Ribeiro, Milton Cezar [UNESP] Morales, Juan Manuel |
author_role |
author |
author2 |
Ramos, Danielle Leal [UNESP] Slade, Eleanor M. Merckx, Thomas Tikhonov, Gleb Pennanen, Juho Pizo, Marco Aurélio [UNESP] Ribeiro, Milton Cezar [UNESP] Morales, Juan Manuel |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
University of Helsinki Norwegian University of Science and Technology Universidade Estadual Paulista (Unesp) University of Oxford UCLouvain CONICET |
dc.contributor.author.fl_str_mv |
Ovaskainen, Otso Ramos, Danielle Leal [UNESP] Slade, Eleanor M. Merckx, Thomas Tikhonov, Gleb Pennanen, Juho Pizo, Marco Aurélio [UNESP] Ribeiro, Milton Cezar [UNESP] Morales, Juan Manuel |
dc.subject.por.fl_str_mv |
birds community model hierarchical model joint species model moths movement model statistical model |
topic |
birds community model hierarchical model joint species model moths movement model statistical model |
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 |
2019-10-06T17:06:53Z 2019-10-06T17:06:53Z 2019-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1002/ecy.2622 Ecology, v. 100, n. 4, 2019. 0012-9658 http://hdl.handle.net/11449/190243 10.1002/ecy.2622 2-s2.0-85063690059 4158685235743119 |
url |
http://dx.doi.org/10.1002/ecy.2622 http://hdl.handle.net/11449/190243 |
identifier_str_mv |
Ecology, v. 100, n. 4, 2019. 0012-9658 10.1002/ecy.2622 2-s2.0-85063690059 4158685235743119 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ecology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128887092150272 |