Ecological niche models applied to post-megafire vegetation restoration in the context of climate change

Climate change and land-use changes are the main drivers altering fire regimes and leading to the occurrence of megafires. Current management policies mainly focus on short-term restoration without considering how climate change might affect regeneration dynamics. We aimed to test the usefulness of...

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Detalles Bibliográficos
Autores: Carrillo-García, Cristina, Girola-Iglesias, Lucas, Guijarro, Mercedes, Hernando, Carmen, Madrigal, Javier, García Mateo, Rubén
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:IAPH
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/717257
Acceso en línea:http://hdl.handle.net/10486/717257
https://dx.doi.org/10.1016/j.scitotenv.2022.158858
Access Level:acceso abierto
Palabra clave:Opportunistic sampling
Post-fire restoration
Species distribution models
Vulnerability to wildfires
Biología y Biomedicina / Biología
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spelling Ecological niche models applied to post-megafire vegetation restoration in the context of climate changeCarrillo-García, CristinaGirola-Iglesias, LucasGuijarro, MercedesHernando, CarmenMadrigal, JavierGarcía Mateo, RubénOpportunistic samplingPost-fire restorationSpecies distribution modelsVulnerability to wildfiresBiología y Biomedicina / BiologíaClimate change and land-use changes are the main drivers altering fire regimes and leading to the occurrence of megafires. Current management policies mainly focus on short-term restoration without considering how climate change might affect regeneration dynamics. We aimed to test the usefulness of ecological niche models (ENMs) to integrate the effects of climate change on tree species distributions into post-fire restoration planning. We also examined different important conceptual and methodological aspects during this novel process. We constructed ENM at fine spatial resolution (25 m) for the four main tree species (Pinus pinaster, Quercus pyrenaica, Q. faginea and Q. ilex) in an area affected by a megafire in Central Spain at two scales (local and regional), two periods (2 and 14 years after the fire) at the local scale, and under two future climate change scenarios. The usefulness of ENMs as support tools in decision-making for post-fire management was confirmed for the first time. As hypothesized, models developed at both scales are different, since they represent different scale dependent drivers of species distribution patterns. However, both provide objective information to be considered by stakeholders in combination with other sources of information. Local models generated with vegetation data 14 years after the fire provided valuable information about local and current vegetation dynamics (i.e., current microecology spatial niche prediction). Regional models are capable of considering a higher proportion of the climatic niche of species to generate reliable climate change forecasts (i.e., future macroclimate spatial niche forecast). The use of precise ENMs provide both an objective interpretation of potential habitat conditions and the opportunity of examining vegetation patches, that can be very valuable in managing restoration of areas affected by megafires under climate change conditionsThis research was funded by the CONTOURIBER Project (CTM2008-06399-C04-01/MAR) and the SCORE Project (CGL2016-80445-R, AEI/FEDER, UE)ElsevierDepartamento de BiologíaFacultad de Ciencias20222022-09-22research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/717257https://dx.doi.org/10.1016/j.scitotenv.2022.158858reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:IAPHInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7172572026-06-23T12:46:27Z
dc.title.none.fl_str_mv Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
title Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
spellingShingle Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
Carrillo-García, Cristina
Opportunistic sampling
Post-fire restoration
Species distribution models
Vulnerability to wildfires
Biología y Biomedicina / Biología
title_short Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
title_full Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
title_fullStr Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
title_full_unstemmed Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
title_sort Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
dc.creator.none.fl_str_mv Carrillo-García, Cristina
Girola-Iglesias, Lucas
Guijarro, Mercedes
Hernando, Carmen
Madrigal, Javier
García Mateo, Rubén
author Carrillo-García, Cristina
author_facet Carrillo-García, Cristina
Girola-Iglesias, Lucas
Guijarro, Mercedes
Hernando, Carmen
Madrigal, Javier
García Mateo, Rubén
author_role author
author2 Girola-Iglesias, Lucas
Guijarro, Mercedes
Hernando, Carmen
Madrigal, Javier
García Mateo, Rubén
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Biología
Facultad de Ciencias
dc.subject.none.fl_str_mv Opportunistic sampling
Post-fire restoration
Species distribution models
Vulnerability to wildfires
Biología y Biomedicina / Biología
topic Opportunistic sampling
Post-fire restoration
Species distribution models
Vulnerability to wildfires
Biología y Biomedicina / Biología
description Climate change and land-use changes are the main drivers altering fire regimes and leading to the occurrence of megafires. Current management policies mainly focus on short-term restoration without considering how climate change might affect regeneration dynamics. We aimed to test the usefulness of ecological niche models (ENMs) to integrate the effects of climate change on tree species distributions into post-fire restoration planning. We also examined different important conceptual and methodological aspects during this novel process. We constructed ENM at fine spatial resolution (25 m) for the four main tree species (Pinus pinaster, Quercus pyrenaica, Q. faginea and Q. ilex) in an area affected by a megafire in Central Spain at two scales (local and regional), two periods (2 and 14 years after the fire) at the local scale, and under two future climate change scenarios. The usefulness of ENMs as support tools in decision-making for post-fire management was confirmed for the first time. As hypothesized, models developed at both scales are different, since they represent different scale dependent drivers of species distribution patterns. However, both provide objective information to be considered by stakeholders in combination with other sources of information. Local models generated with vegetation data 14 years after the fire provided valuable information about local and current vegetation dynamics (i.e., current microecology spatial niche prediction). Regional models are capable of considering a higher proportion of the climatic niche of species to generate reliable climate change forecasts (i.e., future macroclimate spatial niche forecast). The use of precise ENMs provide both an objective interpretation of potential habitat conditions and the opportunity of examining vegetation patches, that can be very valuable in managing restoration of areas affected by megafires under climate change conditions
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-09-22
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/717257
https://dx.doi.org/10.1016/j.scitotenv.2022.158858
url http://hdl.handle.net/10486/717257
https://dx.doi.org/10.1016/j.scitotenv.2022.158858
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:IAPH
instname_str IAPH
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 15.812455

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