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�...

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Autores: Hespanhol, H., Cezón, K., Muñoz, J., García Mateo, Rubén, Gonçalves, J.
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/706976
Acesso em linha:http://hdl.handle.net/10486/706976
https://dx.doi.org/10.1016/j.ecolind.2022.108643
Access Level:acceso abierto
Palavra-chave:Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
Biología y Biomedicina / Biología
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spelling How vulnerable are bryophytes to climate change? Developing new species and community vulnerability indicesHespanhol, H.Cezón, K.Muñoz, J.García Mateo, RubénGonçalves, J.Habitat suitability modelsHypervolumeNiche breadthNiche positionRange contractionBiología y Biomedicina / BiologíaSpecies’ 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 measuresHH research is funded by national funds by FCT, under the transitional rule of Decree Law 57/2016 – DL57/2016/CP 1334 CT0005. J.G. was funded by the Individual Scientific Employment Stimulus Program (2017), through FCT (contract nr. CEECIND/02331/2017) and support from the project proMetheus – Research Unit on Materials, Energy and Environment for Sustainability, FCT Ref. UID/05975/2020, financed by national funds through the FCT/MCTES. This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement Number 857251Departamento de BiologíaFacultad de Ciencias20222022-02-03research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/706976https://dx.doi.org/10.1016/j.ecolind.2022.108643reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 857251open accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7069762026-06-23T12:46:27Z
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
Biología y Biomedicina / Biología
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, K.
Muñoz, J.
García Mateo, Rubén
Gonçalves, J.
author Hespanhol, H.
author_facet Hespanhol, H.
Cezón, K.
Muñoz, J.
García Mateo, Rubén
Gonçalves, J.
author_role author
author2 Cezón, K.
Muñoz, J.
García Mateo, Rubén
Gonçalves, J.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Biología
Facultad de Ciencias
dc.subject.none.fl_str_mv Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
Biología y Biomedicina / Biología
topic Habitat suitability models
Hypervolume
Niche breadth
Niche position
Range contraction
Biología y Biomedicina / Biología
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
2022-02-03
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/706976
https://dx.doi.org/10.1016/j.ecolind.2022.108643
url http://hdl.handle.net/10486/706976
https://dx.doi.org/10.1016/j.ecolind.2022.108643
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 857251
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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