Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands

Species richness on oceanic islands has been related to a series of ecological factors including island size and isolation (i.e. the Equilibrium Model of Island Biogeography, EMIB), habitat diversity, climate (i.e., temperature and precipitation) and more recently island ontogeny (i.e. the General D...

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Autores: Aranda, Silvia C., Gabriel, Rosalina, Borges, Paulo A.V., Santos, Ana Margarida C., Azevedo, Eduardo Brito de, Hortal, Joaquín, Lobo, Jorge M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/122781
Acceso en línea:http://hdl.handle.net/10261/122781
Access Level:acceso abierto
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spelling Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian IslandsAranda, Silvia C.Gabriel, RosalinaBorges, Paulo A.V.Santos, Ana Margarida C.Azevedo, Eduardo Brito deHortal, JoaquínLobo, Jorge M.Species richness on oceanic islands has been related to a series of ecological factors including island size and isolation (i.e. the Equilibrium Model of Island Biogeography, EMIB), habitat diversity, climate (i.e., temperature and precipitation) and more recently island ontogeny (i.e. the General Dynamic Model of oceanic island biogeography, GDM). Here we evaluate the relationship of these factors with the diversity of bryophytes in the Macaronesian region (Azores, Madeira, Canary Islands and Cape Verde). The predictive power of EMIB, habitat diversity, climate and the GDM on total bryophyte richness, as well as moss and liverwort richness (the two dominant bryophyte groups), was evaluated through ordinary least squares regressions. After choosing the best subset of variables using inference statistics, we used partial regression analyses to identify the independent and shared effects of each model. The variables included within each model were similar for mosses and liverworts, with orographic mist layer being one of the most important predictors of richness. Models combining climate with either the GDM or habitat diversity explained most of richness variation (up to 91%). There was a high portion of shared variance between all pairwise combinations of factors in mosses, while in liverworts around half of the variability in species richness was accounted for exclusively by climate. Our results suggest that the effects of climate and habitat are strong and prevalent in this region, while geographical factors have limited influence on Macaronesian bryophyte diversity. Although climate is of great importance for liverwort richness, in mosses its effect is similar to or, at least, indiscernible from the effect of habitat diversity and, strikingly, the effect of island ontogeny. These results indicate that for highly vagile taxa on oceanic islands, the dispersal process may be less important for successful colonization than the availability of suitable ecological conditions during the establishment phase. © 2014 Aranda et al.SCA was partially supported by a Portuguese grant from SRCT (M311/I009A/2005) and by a Spanish JAEPre grant from CSIC. AMCS was supported by a Portuguese Fundacao para a Ciência e a Tecnologia grant (SFRH/BPD/70709/2010) co-funded by the European Social Fund POPH-QREN program and JH by an Spanish DGCyT Ramo´n y Cajal fellowship.Peer ReviewedPublic Library of ScienceConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2015201520142015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/122781reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1227812026-05-22T06:33:51Z
dc.title.none.fl_str_mv Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
title Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
spellingShingle Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
Aranda, Silvia C.
title_short Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
title_full Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
title_fullStr Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
title_full_unstemmed Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
title_sort Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands
dc.creator.none.fl_str_mv Aranda, Silvia C.
Gabriel, Rosalina
Borges, Paulo A.V.
Santos, Ana Margarida C.
Azevedo, Eduardo Brito de
Hortal, Joaquín
Lobo, Jorge M.
author Aranda, Silvia C.
author_facet Aranda, Silvia C.
Gabriel, Rosalina
Borges, Paulo A.V.
Santos, Ana Margarida C.
Azevedo, Eduardo Brito de
Hortal, Joaquín
Lobo, Jorge M.
author_role author
author2 Gabriel, Rosalina
Borges, Paulo A.V.
Santos, Ana Margarida C.
Azevedo, Eduardo Brito de
Hortal, Joaquín
Lobo, Jorge M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description Species richness on oceanic islands has been related to a series of ecological factors including island size and isolation (i.e. the Equilibrium Model of Island Biogeography, EMIB), habitat diversity, climate (i.e., temperature and precipitation) and more recently island ontogeny (i.e. the General Dynamic Model of oceanic island biogeography, GDM). Here we evaluate the relationship of these factors with the diversity of bryophytes in the Macaronesian region (Azores, Madeira, Canary Islands and Cape Verde). The predictive power of EMIB, habitat diversity, climate and the GDM on total bryophyte richness, as well as moss and liverwort richness (the two dominant bryophyte groups), was evaluated through ordinary least squares regressions. After choosing the best subset of variables using inference statistics, we used partial regression analyses to identify the independent and shared effects of each model. The variables included within each model were similar for mosses and liverworts, with orographic mist layer being one of the most important predictors of richness. Models combining climate with either the GDM or habitat diversity explained most of richness variation (up to 91%). There was a high portion of shared variance between all pairwise combinations of factors in mosses, while in liverworts around half of the variability in species richness was accounted for exclusively by climate. Our results suggest that the effects of climate and habitat are strong and prevalent in this region, while geographical factors have limited influence on Macaronesian bryophyte diversity. Although climate is of great importance for liverwort richness, in mosses its effect is similar to or, at least, indiscernible from the effect of habitat diversity and, strikingly, the effect of island ontogeny. These results indicate that for highly vagile taxa on oceanic islands, the dispersal process may be less important for successful colonization than the availability of suitable ecological conditions during the establishment phase. © 2014 Aranda et al.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/122781
url http://hdl.handle.net/10261/122781
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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