Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model
ABSTRACT Aim To assess the extent to which climate change might cause changes in potential natural vegetation (PNV) across Europe. Location Europe. Method We parameterized a generalized dynamic vegetation model (LPJ‐GUESS) for the most common European tree species, and, for the first time, modelled...
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crwiley:10.1111/j.1466-8238.2010.00613.x 2024-10-13T14:05:42+00:00 Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model Hickler, Thomas Vohland, Katrin Feehan, Jane Miller, Paul A. Smith, Benjamin Costa, Luis Giesecke, Thomas Fronzek, Stefan Carter, Timothy R. Cramer, Wolfgang Kühn, Ingolf Sykes, Martin T. 2011 http://dx.doi.org/10.1111/j.1466-8238.2010.00613.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1466-8238.2010.00613.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1466-8238.2010.00613.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Global Ecology and Biogeography volume 21, issue 1, page 50-63 ISSN 1466-822X 1466-8238 journal-article 2011 crwiley https://doi.org/10.1111/j.1466-8238.2010.00613.x 2024-09-17T04:50:38Z ABSTRACT Aim To assess the extent to which climate change might cause changes in potential natural vegetation (PNV) across Europe. Location Europe. Method We parameterized a generalized dynamic vegetation model (LPJ‐GUESS) for the most common European tree species, and, for the first time, modelled large‐scale vegetation dynamics using a process‐based model explicitly representing tree species, age cohorts, gap dynamics and biogeochemical cycles in a single framework. For projections, the model was driven with climate scenario data from two atmosphere–ocean general circulation models (AOGCMs), downscaled to 10 × 10′ spatial resolution ( c . 18.5 × 12 km at 50° N). Results At a general level, modelled present‐day PNV corresponded better with an expert reconstruction of the PNV than most earlier plant functional type (PFT)‐based simulations, but at a finer scale the model and the expert map showed substantial discrepancies in some areas. Simulations until 2085 showed considerable successional shifts in vegetation types in most areas: 31–42% of the total area of Europe was projected to be covered by a different vegetation type by the year 2085. In the long term, equilibrium changes are substantially larger: simulations with one climate scenario suggest that 76–80% of the European land surface could exist within another PNV if climate was stabilized by the end of the century and vegetation had unlimited time to achieve equilibrium with the new climate. ‘Hotspots’ of change include arctic and alpine ecosystems, where trees replace tundra in the model, and the transition zone between temperate broad‐leaved and boreal conifer forest. In southern Europe, the model projected widespread shifts from forest to shrublands as a result of drought. Main conclusions The model presents a considerable advance in modelling dynamic changes in natural vegetation across Europe. Climate change might cause substantial changes in PNV across Europe, which should be considered in the management of reserves and forestry. Article in Journal/Newspaper Arctic Climate change Tundra Wiley Online Library Arctic Global Ecology and Biogeography 21 1 50 63 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
ABSTRACT Aim To assess the extent to which climate change might cause changes in potential natural vegetation (PNV) across Europe. Location Europe. Method We parameterized a generalized dynamic vegetation model (LPJ‐GUESS) for the most common European tree species, and, for the first time, modelled large‐scale vegetation dynamics using a process‐based model explicitly representing tree species, age cohorts, gap dynamics and biogeochemical cycles in a single framework. For projections, the model was driven with climate scenario data from two atmosphere–ocean general circulation models (AOGCMs), downscaled to 10 × 10′ spatial resolution ( c . 18.5 × 12 km at 50° N). Results At a general level, modelled present‐day PNV corresponded better with an expert reconstruction of the PNV than most earlier plant functional type (PFT)‐based simulations, but at a finer scale the model and the expert map showed substantial discrepancies in some areas. Simulations until 2085 showed considerable successional shifts in vegetation types in most areas: 31–42% of the total area of Europe was projected to be covered by a different vegetation type by the year 2085. In the long term, equilibrium changes are substantially larger: simulations with one climate scenario suggest that 76–80% of the European land surface could exist within another PNV if climate was stabilized by the end of the century and vegetation had unlimited time to achieve equilibrium with the new climate. ‘Hotspots’ of change include arctic and alpine ecosystems, where trees replace tundra in the model, and the transition zone between temperate broad‐leaved and boreal conifer forest. In southern Europe, the model projected widespread shifts from forest to shrublands as a result of drought. Main conclusions The model presents a considerable advance in modelling dynamic changes in natural vegetation across Europe. Climate change might cause substantial changes in PNV across Europe, which should be considered in the management of reserves and forestry. |
format |
Article in Journal/Newspaper |
author |
Hickler, Thomas Vohland, Katrin Feehan, Jane Miller, Paul A. Smith, Benjamin Costa, Luis Giesecke, Thomas Fronzek, Stefan Carter, Timothy R. Cramer, Wolfgang Kühn, Ingolf Sykes, Martin T. |
spellingShingle |
Hickler, Thomas Vohland, Katrin Feehan, Jane Miller, Paul A. Smith, Benjamin Costa, Luis Giesecke, Thomas Fronzek, Stefan Carter, Timothy R. Cramer, Wolfgang Kühn, Ingolf Sykes, Martin T. Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
author_facet |
Hickler, Thomas Vohland, Katrin Feehan, Jane Miller, Paul A. Smith, Benjamin Costa, Luis Giesecke, Thomas Fronzek, Stefan Carter, Timothy R. Cramer, Wolfgang Kühn, Ingolf Sykes, Martin T. |
author_sort |
Hickler, Thomas |
title |
Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
title_short |
Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
title_full |
Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
title_fullStr |
Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
title_full_unstemmed |
Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
title_sort |
projecting the future distribution of european potential natural vegetation zones with a generalized, tree species‐based dynamic vegetation model |
publisher |
Wiley |
publishDate |
2011 |
url |
http://dx.doi.org/10.1111/j.1466-8238.2010.00613.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1466-8238.2010.00613.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1466-8238.2010.00613.x |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_source |
Global Ecology and Biogeography volume 21, issue 1, page 50-63 ISSN 1466-822X 1466-8238 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/j.1466-8238.2010.00613.x |
container_title |
Global Ecology and Biogeography |
container_volume |
21 |
container_issue |
1 |
container_start_page |
50 |
op_container_end_page |
63 |
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1812811766529261568 |