How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices

Species’ vulnerability to climate change is often assessed by focusing on potential changes of species’ ranges. This study aimed to develop community-level vulnerability indices which measure bryophyte community vulnerability to climate change, based on the best set of factors summarizing species�...

Descripción completa

Detalles Bibliográficos
Autores: Hespanhol, H., Cezón, Katia, Muñoz, Jesús, Mateo, R.G., Gonçalves, J.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/271957
Acceso en línea:http://hdl.handle.net/10261/271957
Access Level:acceso abierto
Palabra clave:Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
id ES_cb9502d159fe61a2bb86262834611ea2
oai_identifier_str oai:digital.csic.es:10261/271957
network_acronym_str ES
network_name_str España
repository_id_str
spelling How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indicesHespanhol, H.Cezón, KatiaMuñoz, JesúsMateo, R.G.Gonçalves, J.Habitat suitability modelsHypervolumeNiche breadthNiche positionRange contractionSpecies’ vulnerability to climate change is often assessed by focusing on potential changes of species’ ranges. This study aimed to develop community-level vulnerability indices which measure bryophyte community vulnerability to climate change, based on the best set of factors summarizing species' niche or geographic properties expected to respond to climate change. We used a dataset on 39 saxicolous bryophytes from the Iberian Peninsula, highly sensitive to climate shifts. Niche metrics were calculated using a recently described hypervolume-based approach. Spatial metrics were derived from habitat suitability model (HSM) projections. We then compared regression models based on niche or spatial metrics to evaluate which ones improve species range shifts forecast. The final vulnerability score for each species, the Species Vulnerability Index (SVI), was calculated by applying a weighted sum of all the relevant parameters. We then generated a spatial representation of vulnerability values for the whole community through HSMs and obtained three Community Vulnerability Indices (CVIs), according to different statistical aggregation measures (average, maximum and standard deviation). SVI assigns maximum vulnerability to species with smaller niche breadth and higher marginality in the community environmental niche space continuum, allowing to rank bryophyte species according to their vulnerability. Given the overall importance of niche-hypervolume metrics in SVI and CVIs, we rename it, respectively, as Niche Hypervolume Species Vulnerability Index (NHSVI) and Niche Hypervolume Community Vulnerability Indices (NHCVIs). Overall, saxicolous bryophyte communities with the greatest average vulnerability to climate change are those at the high mountains of the northern, central and southern regions of the Iberian Peninsula. Results suggest that vulnerability patterns are structured locally not only due to species richness but also to community composition. The three NHCVIs provided complementary insights into the study area's community vulnerability distribution. This study shows that NHSVI can prioritise vulnerable species to climate change, and NHCVIs can depict community-wise vulnerability hotspots, thereby informing policymakers in the definition of bryophyte species conservation measures.Elsevier BVConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/271957reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/857251http://dx.doi.org/10.1016/j.ecolind.2022.108643Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2719572026-05-22T06:33:51Z
dc.title.none.fl_str_mv How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
title How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
spellingShingle How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
Hespanhol, H.
Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
title_short How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
title_full How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
title_fullStr How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
title_full_unstemmed How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
title_sort How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indices
dc.creator.none.fl_str_mv Hespanhol, H.
Cezón, Katia
Muñoz, Jesús
Mateo, R.G.
Gonçalves, J.
author Hespanhol, H.
author_facet Hespanhol, H.
Cezón, Katia
Muñoz, Jesús
Mateo, R.G.
Gonçalves, J.
author_role author
author2 Cezón, Katia
Muñoz, Jesús
Mateo, R.G.
Gonçalves, J.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
topic Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
description Species’ vulnerability to climate change is often assessed by focusing on potential changes of species’ ranges. This study aimed to develop community-level vulnerability indices which measure bryophyte community vulnerability to climate change, based on the best set of factors summarizing species' niche or geographic properties expected to respond to climate change. We used a dataset on 39 saxicolous bryophytes from the Iberian Peninsula, highly sensitive to climate shifts. Niche metrics were calculated using a recently described hypervolume-based approach. Spatial metrics were derived from habitat suitability model (HSM) projections. We then compared regression models based on niche or spatial metrics to evaluate which ones improve species range shifts forecast. The final vulnerability score for each species, the Species Vulnerability Index (SVI), was calculated by applying a weighted sum of all the relevant parameters. We then generated a spatial representation of vulnerability values for the whole community through HSMs and obtained three Community Vulnerability Indices (CVIs), according to different statistical aggregation measures (average, maximum and standard deviation). SVI assigns maximum vulnerability to species with smaller niche breadth and higher marginality in the community environmental niche space continuum, allowing to rank bryophyte species according to their vulnerability. Given the overall importance of niche-hypervolume metrics in SVI and CVIs, we rename it, respectively, as Niche Hypervolume Species Vulnerability Index (NHSVI) and Niche Hypervolume Community Vulnerability Indices (NHCVIs). Overall, saxicolous bryophyte communities with the greatest average vulnerability to climate change are those at the high mountains of the northern, central and southern regions of the Iberian Peninsula. Results suggest that vulnerability patterns are structured locally not only due to species richness but also to community composition. The three NHCVIs provided complementary insights into the study area's community vulnerability distribution. This study shows that NHSVI can prioritise vulnerable species to climate change, and NHCVIs can depict community-wise vulnerability hotspots, thereby informing policymakers in the definition of bryophyte species conservation measures.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/271957
url http://hdl.handle.net/10261/271957
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/857251
http://dx.doi.org/10.1016/j.ecolind.2022.108643
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
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)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419600949542912
score 15,811543

Similares en LA Referencia