A multi-model analysis of risk of ecosystem shifts under climate change
Climate change may pose a high risk of change to Earth's ecosystems: shifting climatic boundaries may induce changes in the biogeochemical functioning and structures of ecosystems that render it difficult for endemic plant and animal species to survive in their current habitats. Here we aggrega...
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ftleibnizopen:oai:oai.leibnizopen.de:kRc-iIcBdbrxVwz6aI8w 2023-06-06T11:59:59+02:00 A multi-model analysis of risk of ecosystem shifts under climate change Warszawski, Lila Friend, Andrew Ostberg, Sebastian Frieler, Katja Lucht, Wolfgang Schaphoff, Sibyll Beerling, David Cadule, Patricia Ciais, Philippe Clark, Douglas B. Kahana, Ron Ito, Akihiko Keribin, Rozenn Kleidon, Axel Lomas, Mark Nishina, Kazuya Pavlick, Ryan Rademacher, Tim Tito Buechner, Matthias Piontek, Franziska Schewe, Jacob Serdeczny, Olivia Schellnhuber, Hans Joachim 2013 application/pdf https://doi.org/10.34657/140 https://oa.tib.eu/renate/handle/123456789/3840 eng eng Bristol : IOP Publishing CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Environmental Research Letters, Volume 8, Issue 4 climate change ecosystem change global vegetation 500 article Text 2013 ftleibnizopen https://doi.org/10.34657/140 2023-04-16T23:08:36Z Climate change may pose a high risk of change to Earth's ecosystems: shifting climatic boundaries may induce changes in the biogeochemical functioning and structures of ecosystems that render it difficult for endemic plant and animal species to survive in their current habitats. Here we aggregate changes in the biogeochemical ecosystem state as a proxy for the risk of these shifts at different levels of global warming. Estimates are based on simulations from seven global vegetation models (GVMs) driven by future climate scenarios, allowing for a quantification of the related uncertainties. 5–19% of the naturally vegetated land surface is projected to be at risk of severe ecosystem change at 2 ° C of global warming (ΔGMT) above 1980–2010 levels. However, there is limited agreement across the models about which geographical regions face the highest risk of change. The extent of regions at risk of severe ecosystem change is projected to rise with ΔGMT, approximately doubling between ΔGMT = 2 and 3 ° C, and reaching a median value of 35% of the naturally vegetated land surface for ΔGMT = 4 °C. The regions projected to face the highest risk of severe ecosystem changes above ΔGMT = 4 °C or earlier include the tundra and shrublands of the Tibetan Plateau, grasslands of eastern India, the boreal forests of northern Canada and Russia, the savanna region in the Horn of Africa, and the Amazon rainforest. publishedVersion Article in Journal/Newspaper Tundra LeibnizOpen (The Leibniz Association) Canada |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
climate change ecosystem change global vegetation 500 |
spellingShingle |
climate change ecosystem change global vegetation 500 Warszawski, Lila Friend, Andrew Ostberg, Sebastian Frieler, Katja Lucht, Wolfgang Schaphoff, Sibyll Beerling, David Cadule, Patricia Ciais, Philippe Clark, Douglas B. Kahana, Ron Ito, Akihiko Keribin, Rozenn Kleidon, Axel Lomas, Mark Nishina, Kazuya Pavlick, Ryan Rademacher, Tim Tito Buechner, Matthias Piontek, Franziska Schewe, Jacob Serdeczny, Olivia Schellnhuber, Hans Joachim A multi-model analysis of risk of ecosystem shifts under climate change |
topic_facet |
climate change ecosystem change global vegetation 500 |
description |
Climate change may pose a high risk of change to Earth's ecosystems: shifting climatic boundaries may induce changes in the biogeochemical functioning and structures of ecosystems that render it difficult for endemic plant and animal species to survive in their current habitats. Here we aggregate changes in the biogeochemical ecosystem state as a proxy for the risk of these shifts at different levels of global warming. Estimates are based on simulations from seven global vegetation models (GVMs) driven by future climate scenarios, allowing for a quantification of the related uncertainties. 5–19% of the naturally vegetated land surface is projected to be at risk of severe ecosystem change at 2 ° C of global warming (ΔGMT) above 1980–2010 levels. However, there is limited agreement across the models about which geographical regions face the highest risk of change. The extent of regions at risk of severe ecosystem change is projected to rise with ΔGMT, approximately doubling between ΔGMT = 2 and 3 ° C, and reaching a median value of 35% of the naturally vegetated land surface for ΔGMT = 4 °C. The regions projected to face the highest risk of severe ecosystem changes above ΔGMT = 4 °C or earlier include the tundra and shrublands of the Tibetan Plateau, grasslands of eastern India, the boreal forests of northern Canada and Russia, the savanna region in the Horn of Africa, and the Amazon rainforest. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Warszawski, Lila Friend, Andrew Ostberg, Sebastian Frieler, Katja Lucht, Wolfgang Schaphoff, Sibyll Beerling, David Cadule, Patricia Ciais, Philippe Clark, Douglas B. Kahana, Ron Ito, Akihiko Keribin, Rozenn Kleidon, Axel Lomas, Mark Nishina, Kazuya Pavlick, Ryan Rademacher, Tim Tito Buechner, Matthias Piontek, Franziska Schewe, Jacob Serdeczny, Olivia Schellnhuber, Hans Joachim |
author_facet |
Warszawski, Lila Friend, Andrew Ostberg, Sebastian Frieler, Katja Lucht, Wolfgang Schaphoff, Sibyll Beerling, David Cadule, Patricia Ciais, Philippe Clark, Douglas B. Kahana, Ron Ito, Akihiko Keribin, Rozenn Kleidon, Axel Lomas, Mark Nishina, Kazuya Pavlick, Ryan Rademacher, Tim Tito Buechner, Matthias Piontek, Franziska Schewe, Jacob Serdeczny, Olivia Schellnhuber, Hans Joachim |
author_sort |
Warszawski, Lila |
title |
A multi-model analysis of risk of ecosystem shifts under climate change |
title_short |
A multi-model analysis of risk of ecosystem shifts under climate change |
title_full |
A multi-model analysis of risk of ecosystem shifts under climate change |
title_fullStr |
A multi-model analysis of risk of ecosystem shifts under climate change |
title_full_unstemmed |
A multi-model analysis of risk of ecosystem shifts under climate change |
title_sort |
multi-model analysis of risk of ecosystem shifts under climate change |
publisher |
Bristol : IOP Publishing |
publishDate |
2013 |
url |
https://doi.org/10.34657/140 https://oa.tib.eu/renate/handle/123456789/3840 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Environmental Research Letters, Volume 8, Issue 4 |
op_rights |
CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.34657/140 |
_version_ |
1767950406449627136 |