Node-based analysis of species distributions
ABSTRACT: 1. The integration of species distributions and evolutionary relationships is one of the most rapidly moving research fields today and has led to considerable advances in our understanding of the processes underlying biogeographical patterns. Here, we develop a set of metrics, the specific...
- Autores:
-
Parra Vergara, Juan Luis
Borregaard, Michael K
Rahbek, Carsten
Fjeldsa, Jon
Whittaker, Robert J.
Graham, Catherine H.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2014
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/37296
- Acceso en línea:
- https://hdl.handle.net/10495/37296
- Palabra clave:
- Animales y plantas - distribución geográfica
Geographical distribution of animals and plants
Filogenia
Phylogeny
Evolución
Evolution
Alopatría
Allopatry
Bird biogeography
http://aims.fao.org/aos/agrovoc/c_0fc1f174
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
Node-based analysis of species distributions |
| title |
Node-based analysis of species distributions |
| spellingShingle |
Node-based analysis of species distributions Animales y plantas - distribución geográfica Geographical distribution of animals and plants Filogenia Phylogeny Evolución Evolution Alopatría Allopatry Bird biogeography http://aims.fao.org/aos/agrovoc/c_0fc1f174 |
| title_short |
Node-based analysis of species distributions |
| title_full |
Node-based analysis of species distributions |
| title_fullStr |
Node-based analysis of species distributions |
| title_full_unstemmed |
Node-based analysis of species distributions |
| title_sort |
Node-based analysis of species distributions |
| dc.creator.fl_str_mv |
Parra Vergara, Juan Luis Borregaard, Michael K Rahbek, Carsten Fjeldsa, Jon Whittaker, Robert J. Graham, Catherine H. |
| dc.contributor.author.none.fl_str_mv |
Parra Vergara, Juan Luis Borregaard, Michael K Rahbek, Carsten Fjeldsa, Jon Whittaker, Robert J. Graham, Catherine H. |
| dc.contributor.researchgroup.spa.fl_str_mv |
Ecología y Evolución de Vertebrados |
| dc.subject.lemb.none.fl_str_mv |
Animales y plantas - distribución geográfica Geographical distribution of animals and plants Filogenia Phylogeny Evolución Evolution |
| topic |
Animales y plantas - distribución geográfica Geographical distribution of animals and plants Filogenia Phylogeny Evolución Evolution Alopatría Allopatry Bird biogeography http://aims.fao.org/aos/agrovoc/c_0fc1f174 |
| dc.subject.agrovoc.none.fl_str_mv |
Alopatría Allopatry |
| dc.subject.proposal.spa.fl_str_mv |
Bird biogeography |
| dc.subject.agrovocuri.none.fl_str_mv |
http://aims.fao.org/aos/agrovoc/c_0fc1f174 |
| description |
ABSTRACT: 1. The integration of species distributions and evolutionary relationships is one of the most rapidly moving research fields today and has led to considerable advances in our understanding of the processes underlying biogeographical patterns. Here, we develop a set of metrics, the specific overrepresentation score (SOS) and the geographic node divergence (GND) score, which together combine ecological and evolutionary patterns into a single framework and avoids many of the problems that characterize community phylogenetic methods in current use. 2. This approach goes through each node in the phylogeny and compares the distributions of descendant clades to a null model. The method employs a balanced null model, is independent of phylogeny size, and allows an intuitive visualization of the results. 3. We demonstrate how this novel implementation can be used to generate hypotheses for biogeographical pat- terns with case studies on two groups with well-described biogeographical histories: a local-scale community data set of hummingbirds in the North Andes, and a large-scale data set of the distribution of all species of New World flycatchers. The node-based analysis of these two groups generates a set of intuitively interpretable patterns that are consistent with current biogeographical knowledge. 4. Importantly, the results are statistically tractable, opening many possibilities for their use in analyses of evolutionary, historical and spatial patterns of species diversity. The method is implemented as an upcoming R package nodiv, which makes it accessible and easy to use. |
| publishDate |
2014 |
| dc.date.issued.none.fl_str_mv |
2014 |
| dc.date.accessioned.none.fl_str_mv |
2023-11-13T21:07:16Z |
| dc.date.available.none.fl_str_mv |
2023-11-13T21:07:16Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Borregaard, M. K., Rahbek, C., Fjeldså, J., Parra, J. L., Whittaker, R. J., & Graham, C. H. (2014). Node-based analysis of species distributions. Methods in Ecology and Evolution, 5(11), 1225–1235. https://doi.org/10.1111/2041-210X.12283 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/37296 |
| dc.identifier.doi.none.fl_str_mv |
10.1111/2041-210X.12283 |
| dc.identifier.eissn.none.fl_str_mv |
2041-210X |
| identifier_str_mv |
Borregaard, M. K., Rahbek, C., Fjeldså, J., Parra, J. L., Whittaker, R. J., & Graham, C. H. (2014). Node-based analysis of species distributions. Methods in Ecology and Evolution, 5(11), 1225–1235. https://doi.org/10.1111/2041-210X.12283 10.1111/2041-210X.12283 2041-210X |
| url |
https://hdl.handle.net/10495/37296 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Methods. Ecol. Evol. |
| dc.relation.citationendpage.spa.fl_str_mv |
1235 |
| dc.relation.citationissue.spa.fl_str_mv |
11 |
| dc.relation.citationstartpage.spa.fl_str_mv |
1225 |
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5 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Methods in Ecology and Evolution |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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11 |
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application/pdf |
| dc.publisher.spa.fl_str_mv |
Wiley British Ecological Society |
| dc.publisher.place.spa.fl_str_mv |
Hoboken, Estados Unidos |
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Universidad de Antioquia |
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Parra Vergara, Juan LuisBorregaard, Michael KRahbek, CarstenFjeldsa, JonWhittaker, Robert J.Graham, Catherine H.Ecología y Evolución de Vertebrados2023-11-13T21:07:16Z2023-11-13T21:07:16Z2014Borregaard, M. K., Rahbek, C., Fjeldså, J., Parra, J. L., Whittaker, R. J., & Graham, C. H. (2014). Node-based analysis of species distributions. Methods in Ecology and Evolution, 5(11), 1225–1235. https://doi.org/10.1111/2041-210X.12283https://hdl.handle.net/10495/3729610.1111/2041-210X.122832041-210XABSTRACT: 1. The integration of species distributions and evolutionary relationships is one of the most rapidly moving research fields today and has led to considerable advances in our understanding of the processes underlying biogeographical patterns. Here, we develop a set of metrics, the specific overrepresentation score (SOS) and the geographic node divergence (GND) score, which together combine ecological and evolutionary patterns into a single framework and avoids many of the problems that characterize community phylogenetic methods in current use. 2. This approach goes through each node in the phylogeny and compares the distributions of descendant clades to a null model. The method employs a balanced null model, is independent of phylogeny size, and allows an intuitive visualization of the results. 3. We demonstrate how this novel implementation can be used to generate hypotheses for biogeographical pat- terns with case studies on two groups with well-described biogeographical histories: a local-scale community data set of hummingbirds in the North Andes, and a large-scale data set of the distribution of all species of New World flycatchers. The node-based analysis of these two groups generates a set of intuitively interpretable patterns that are consistent with current biogeographical knowledge. 4. Importantly, the results are statistically tractable, opening many possibilities for their use in analyses of evolutionary, historical and spatial patterns of species diversity. The method is implemented as an upcoming R package nodiv, which makes it accessible and easy to use.COL014726711application/pdfengWileyBritish Ecological SocietyHoboken, Estados Unidoshttps://creativecommons.org/licenses/by-nc-nd/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Node-based analysis of species distributionsArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnimales y plantas - distribución geográficaGeographical distribution of animals and plantsFilogeniaPhylogenyEvoluciónEvolutionAlopatríaAllopatryBird biogeographyhttp://aims.fao.org/aos/agrovoc/c_0fc1f174Methods. Ecol. 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