Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems

In Mediterranean forests, many species of fungi produce fruiting bodies every autumn, some of which are of great social and economic interest as NTFPs. In addition, these fungi are an essential part of the biodiversity network that ensures the proper functioning of natural ecosystems and that is cur...

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Autores: Morera, Albert, Miguel Magaña, Sergio de, LeBlanc, Hannah, Martínez de Aragón, Juan, Bonet Lledos, José Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/465411
Acceso en línea:https://doi.org/10.1016/j.ecoinf.2024.102557
https://hdl.handle.net/10459.1/465411
Access Level:acceso abierto
Palabra clave:Mushroom
Lactarius Boletus
Non-wood forest products
Global warming
Modeling
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spelling Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystemsMorera, AlbertMiguel Magaña, Sergio deLeBlanc, HannahMartínez de Aragón, JuanBonet Lledos, José AntonioMushroomLactarius BoletusNon-wood forest productsGlobal warmingModelingIn Mediterranean forests, many species of fungi produce fruiting bodies every autumn, some of which are of great social and economic interest as NTFPs. In addition, these fungi are an essential part of the biodiversity network that ensures the proper functioning of natural ecosystems and that is currently in check due to global change. Therefore, understanding the biogeographic patterns of species-specific fungal productivity is fundamental to anticipate possible changes in the socioeconomic value of our forests and to understand the role they play in the functioning of ecosystems in terms of mitigation and adaptation to climate change. In this study we estimate the future impact of climate change (in Catalonia region, between 2023 and 2100) on five fungal species with high socioeconomic interest in a broad bioclimatic gradient representative of the Mediterranean basin using high resolution at the landscape scale. To achieve this, we use predictive models based on machine learning algorithms and a fungal database resulting from the sampling of more than 100 permanent sampling plots over 20 years. We estimate that current and future productivity patterns differ among species, under different climate change scenarios and bioclimatic regions. Our results suggest that optimal productivity areas may be shifted to higher elevations, making those species with higher productivity at higher elevations the most affected by climate change. This would mean that some species with high socioeconomic value, such as Lactarius deliciosus and Boletus edulis, could be negatively affected in their total productivity in the study area. This study highlights the need to anticipate the potential effects of climate change on fungal productivity and in particular on high socioeconomic value species and to develop management policies oriented to maintain the important role of fungi in natural ecosystems.This work was supported by the Secretariat for Universities and of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund. This work was also supported by the project with grant number PID2022-139558OB-I00 funded by MCIN/ AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, by the project with grant number PCI2023-146021-2 funded by MCIN/ AEI/10.13039/501100011033 and by the European Union, and by the project with grant number 2711/2021 funded by the National Parks Autonomous Agency (Organismo Autónomo de Parques Nacionales, OAPN). Sergio de Miguel and José Antonio Bonet benefitted from a Serra-Húnter Fellowship provided by the Government of Catalonia. We also thank the “Agencia Estatal de Meteorología (AEMET)” and “Servei Meteorol` ogic de Catalunya (SMC)” for providing daily weather station data.Elsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.ecoinf.2024.102557https://hdl.handle.net/10459.1/465411reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139558OB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PCI2023-146021-2Reproducció del document publicat a https://doi.org/10.1016/j.ecoinf.2024.102557Ecological Informatics, 2024, vol. 81, art. 102557cc-by (c) The Authors, 2024Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/4654112026-06-24T12:42:17Z
dc.title.none.fl_str_mv Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
title Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
spellingShingle Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
Morera, Albert
Mushroom
Lactarius Boletus
Non-wood forest products
Global warming
Modeling
title_short Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
title_full Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
title_fullStr Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
title_full_unstemmed Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
title_sort Analysis of climate change impacts on the biogeographical patterns of species-specific productivity of socioeconomically important edible fungi in Mediterranean forest ecosystems
dc.creator.none.fl_str_mv Morera, Albert
Miguel Magaña, Sergio de
LeBlanc, Hannah
Martínez de Aragón, Juan
Bonet Lledos, José Antonio
author Morera, Albert
author_facet Morera, Albert
Miguel Magaña, Sergio de
LeBlanc, Hannah
Martínez de Aragón, Juan
Bonet Lledos, José Antonio
author_role author
author2 Miguel Magaña, Sergio de
LeBlanc, Hannah
Martínez de Aragón, Juan
Bonet Lledos, José Antonio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Mushroom
Lactarius Boletus
Non-wood forest products
Global warming
Modeling
topic Mushroom
Lactarius Boletus
Non-wood forest products
Global warming
Modeling
description In Mediterranean forests, many species of fungi produce fruiting bodies every autumn, some of which are of great social and economic interest as NTFPs. In addition, these fungi are an essential part of the biodiversity network that ensures the proper functioning of natural ecosystems and that is currently in check due to global change. Therefore, understanding the biogeographic patterns of species-specific fungal productivity is fundamental to anticipate possible changes in the socioeconomic value of our forests and to understand the role they play in the functioning of ecosystems in terms of mitigation and adaptation to climate change. In this study we estimate the future impact of climate change (in Catalonia region, between 2023 and 2100) on five fungal species with high socioeconomic interest in a broad bioclimatic gradient representative of the Mediterranean basin using high resolution at the landscape scale. To achieve this, we use predictive models based on machine learning algorithms and a fungal database resulting from the sampling of more than 100 permanent sampling plots over 20 years. We estimate that current and future productivity patterns differ among species, under different climate change scenarios and bioclimatic regions. Our results suggest that optimal productivity areas may be shifted to higher elevations, making those species with higher productivity at higher elevations the most affected by climate change. This would mean that some species with high socioeconomic value, such as Lactarius deliciosus and Boletus edulis, could be negatively affected in their total productivity in the study area. This study highlights the need to anticipate the potential effects of climate change on fungal productivity and in particular on high socioeconomic value species and to develop management policies oriented to maintain the important role of fungi in natural ecosystems.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ecoinf.2024.102557
https://hdl.handle.net/10459.1/465411
url https://doi.org/10.1016/j.ecoinf.2024.102557
https://hdl.handle.net/10459.1/465411
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139558OB-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PCI2023-146021-2
Reproducció del document publicat a https://doi.org/10.1016/j.ecoinf.2024.102557
Ecological Informatics, 2024, vol. 81, art. 102557
dc.rights.none.fl_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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