Cargando…

Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas

AIM: Due to their longevity and structure, forest ecosystems are particularly affected by climate change with consequences for their biodiversity, functioning, and services to mankind. In the European Union (EU), natural and seminatural forests are protected by the Habitats Directive and the Natura...

Descripción completa

Detalles Bibliográficos
Autores principales: Steinacker, Claudia, Beierkuhnlein, Carl, Jaeschke, Anja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953681/
https://www.ncbi.nlm.nih.gov/pubmed/31938529
http://dx.doi.org/10.1002/ece3.5877
_version_ 1783486661522358272
author Steinacker, Claudia
Beierkuhnlein, Carl
Jaeschke, Anja
author_facet Steinacker, Claudia
Beierkuhnlein, Carl
Jaeschke, Anja
author_sort Steinacker, Claudia
collection PubMed
description AIM: Due to their longevity and structure, forest ecosystems are particularly affected by climate change with consequences for their biodiversity, functioning, and services to mankind. In the European Union (EU), natural and seminatural forests are protected by the Habitats Directive and the Natura 2000 network. This study aimed to assess the exposure of three legally defined forest habitat types to climate change, namely (a) Tilio‐Acerion forests of slopes, screes, and ravines (9180*), (b) bog woodlands (91D0*), and (c) alluvial forests with Alnus glutinosa and Fraxinus excelsior (91E0*). We analyzed possible changes in their Bavarian distribution, including their potential future coverage by Natura 2000 sites. We hypothesized that protected areas (PAs) with larger elevational ranges will remain suitable for the forests as they allow for altitudinal distribution shifts. METHODS: To estimate changes in range size and coverage by PAs, we combined correlative species distribution models (SDMs) with spatial analyses. Ensembles of SDM‐algorithms were applied to two climate change scenarios (RCP4.5 and RCP8.5) of the HadGEM2‐ES model for the period 2061–2080. RESULTS: Our results revealed that bog woodlands experience the highest range losses (>2/3) and lowest PA coverage (max. 15% of sites with suitable conditions). Tilio‐Acerion forests exhibit opposing trends depending on the scenario, while alluvial forests are less exposed to climatic changes. As expected, the impacts of climate change are more pronounced under the “business as usual” scenario (RCP8.5). Additionally, PAs in flat landscapes are more likely to lose environmental suitability for currently established forest habitat types. MAIN CONCLUSIONS: Based on these findings, we advocate the expansion of the Natura 2000 network particularly in consideration of elevational gradients, connectivity, and projected climatic suitability. Nonclimatic stressors on forest ecosystems, especially bog woodlands, should be decreased and climate change mitigation efforts enhanced. We recommend transferring the approach to other habitat types and regions.
format Online
Article
Text
id pubmed-6953681
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-69536812020-01-14 Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas Steinacker, Claudia Beierkuhnlein, Carl Jaeschke, Anja Ecol Evol Original Research AIM: Due to their longevity and structure, forest ecosystems are particularly affected by climate change with consequences for their biodiversity, functioning, and services to mankind. In the European Union (EU), natural and seminatural forests are protected by the Habitats Directive and the Natura 2000 network. This study aimed to assess the exposure of three legally defined forest habitat types to climate change, namely (a) Tilio‐Acerion forests of slopes, screes, and ravines (9180*), (b) bog woodlands (91D0*), and (c) alluvial forests with Alnus glutinosa and Fraxinus excelsior (91E0*). We analyzed possible changes in their Bavarian distribution, including their potential future coverage by Natura 2000 sites. We hypothesized that protected areas (PAs) with larger elevational ranges will remain suitable for the forests as they allow for altitudinal distribution shifts. METHODS: To estimate changes in range size and coverage by PAs, we combined correlative species distribution models (SDMs) with spatial analyses. Ensembles of SDM‐algorithms were applied to two climate change scenarios (RCP4.5 and RCP8.5) of the HadGEM2‐ES model for the period 2061–2080. RESULTS: Our results revealed that bog woodlands experience the highest range losses (>2/3) and lowest PA coverage (max. 15% of sites with suitable conditions). Tilio‐Acerion forests exhibit opposing trends depending on the scenario, while alluvial forests are less exposed to climatic changes. As expected, the impacts of climate change are more pronounced under the “business as usual” scenario (RCP8.5). Additionally, PAs in flat landscapes are more likely to lose environmental suitability for currently established forest habitat types. MAIN CONCLUSIONS: Based on these findings, we advocate the expansion of the Natura 2000 network particularly in consideration of elevational gradients, connectivity, and projected climatic suitability. Nonclimatic stressors on forest ecosystems, especially bog woodlands, should be decreased and climate change mitigation efforts enhanced. We recommend transferring the approach to other habitat types and regions. John Wiley and Sons Inc. 2019-11-28 /pmc/articles/PMC6953681/ /pubmed/31938529 http://dx.doi.org/10.1002/ece3.5877 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Steinacker, Claudia
Beierkuhnlein, Carl
Jaeschke, Anja
Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title_full Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title_fullStr Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title_full_unstemmed Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title_short Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas
title_sort assessing the exposure of forest habitat types to projected climate change—implications for bavarian protected areas
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953681/
https://www.ncbi.nlm.nih.gov/pubmed/31938529
http://dx.doi.org/10.1002/ece3.5877
work_keys_str_mv AT steinackerclaudia assessingtheexposureofforesthabitattypestoprojectedclimatechangeimplicationsforbavarianprotectedareas
AT beierkuhnleincarl assessingtheexposureofforesthabitattypestoprojectedclimatechangeimplicationsforbavarianprotectedareas
AT jaeschkeanja assessingtheexposureofforesthabitattypestoprojectedclimatechangeimplicationsforbavarianprotectedareas