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 aggregate ch...

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Published in:Environmental Research Letters
Main Authors: Lila Warszawski, Andrew Friend, Sebastian Ostberg, Katja Frieler, Wolfgang Lucht, Sibyll Schaphoff, David Beerling, Patricia Cadule, Philippe Ciais, Douglas B Clark, Ron Kahana, Akihiko Ito, Rozenn Keribin, Axel Kleidon, Mark Lomas, Kazuya Nishina, Ryan Pavlick, Tim Tito Rademacher, Matthias Buechner, Franziska Piontek, Jacob Schewe, Olivia Serdeczny, Hans Joachim Schellnhuber
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2013
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/8/4/044018
https://doaj.org/article/d0ecc119c20f4c68a14811708a4b5bc5
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spelling ftdoajarticles:oai:doaj.org/article:d0ecc119c20f4c68a14811708a4b5bc5 2023-09-05T13:23:50+02:00 A multi-model analysis of risk of ecosystem shifts under climate change Lila Warszawski Andrew Friend Sebastian Ostberg Katja Frieler Wolfgang Lucht Sibyll Schaphoff David Beerling Patricia Cadule Philippe Ciais Douglas B Clark Ron Kahana Akihiko Ito Rozenn Keribin Axel Kleidon Mark Lomas Kazuya Nishina Ryan Pavlick Tim Tito Rademacher Matthias Buechner Franziska Piontek Jacob Schewe Olivia Serdeczny Hans Joachim Schellnhuber 2013-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/8/4/044018 https://doaj.org/article/d0ecc119c20f4c68a14811708a4b5bc5 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/8/4/044018 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/8/4/044018 1748-9326 https://doaj.org/article/d0ecc119c20f4c68a14811708a4b5bc5 Environmental Research Letters, Vol 8, Iss 4, p 044018 (2013) climate change ecosystem change global vegetation Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2013 ftdoajarticles https://doi.org/10.1088/1748-9326/8/4/044018 2023-08-13T00:37:31Z 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. Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Canada Environmental Research Letters 8 4 044018
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic climate change
ecosystem change
global vegetation
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle climate change
ecosystem change
global vegetation
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Lila Warszawski
Andrew Friend
Sebastian Ostberg
Katja Frieler
Wolfgang Lucht
Sibyll Schaphoff
David Beerling
Patricia Cadule
Philippe Ciais
Douglas B Clark
Ron Kahana
Akihiko Ito
Rozenn Keribin
Axel Kleidon
Mark Lomas
Kazuya Nishina
Ryan Pavlick
Tim Tito Rademacher
Matthias Buechner
Franziska Piontek
Jacob Schewe
Olivia Serdeczny
Hans Joachim Schellnhuber
A multi-model analysis of risk of ecosystem shifts under climate change
topic_facet climate change
ecosystem change
global vegetation
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
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.
format Article in Journal/Newspaper
author Lila Warszawski
Andrew Friend
Sebastian Ostberg
Katja Frieler
Wolfgang Lucht
Sibyll Schaphoff
David Beerling
Patricia Cadule
Philippe Ciais
Douglas B Clark
Ron Kahana
Akihiko Ito
Rozenn Keribin
Axel Kleidon
Mark Lomas
Kazuya Nishina
Ryan Pavlick
Tim Tito Rademacher
Matthias Buechner
Franziska Piontek
Jacob Schewe
Olivia Serdeczny
Hans Joachim Schellnhuber
author_facet Lila Warszawski
Andrew Friend
Sebastian Ostberg
Katja Frieler
Wolfgang Lucht
Sibyll Schaphoff
David Beerling
Patricia Cadule
Philippe Ciais
Douglas B Clark
Ron Kahana
Akihiko Ito
Rozenn Keribin
Axel Kleidon
Mark Lomas
Kazuya Nishina
Ryan Pavlick
Tim Tito Rademacher
Matthias Buechner
Franziska Piontek
Jacob Schewe
Olivia Serdeczny
Hans Joachim Schellnhuber
author_sort Lila Warszawski
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 IOP Publishing
publishDate 2013
url https://doi.org/10.1088/1748-9326/8/4/044018
https://doaj.org/article/d0ecc119c20f4c68a14811708a4b5bc5
geographic Canada
geographic_facet Canada
genre Tundra
genre_facet Tundra
op_source Environmental Research Letters, Vol 8, Iss 4, p 044018 (2013)
op_relation https://doi.org/10.1088/1748-9326/8/4/044018
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/8/4/044018
1748-9326
https://doaj.org/article/d0ecc119c20f4c68a14811708a4b5bc5
op_doi https://doi.org/10.1088/1748-9326/8/4/044018
container_title Environmental Research Letters
container_volume 8
container_issue 4
container_start_page 044018
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