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  A multi-model analysis of risk of ecosystem shifts under climate

Warszawski, L., Friend, A., Ostberg, S., Frieler, K., Lucht, W., Schaphoff, S., et al. (2013). A multi-model analysis of risk of ecosystem shifts under climate. Environmental Research Letters, 8: 044018. doi:10.1088/1748-9326/8/4/044018.

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http://dx.doi.org/10.1088/1748-9326/8/4/044018 (Publisher version)
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 Creators:
Warszawski, Lila, Author
Friend, Andrew, Author
Ostberg, Sebastian, Author
Frieler, Katja, Author
Lucht, Wolfgang, Author
Schaphoff, Sibyll, Author
Beerling, David, Author
Cadule, Patricia, Author
Ciais, Philippe, Author
Clark, Douglas B, Author
Kahana, Ron, Author
Ito, Akihiko, Author
Keribin, Rozenn, Author
Kleidon, Axel1, Author           
Lomas, Mark, Author
Nishina, Kazuya, Author
Pavlick, Ryan2, Author           
Rademacher, Tim Tito, Author
Buechner, Matthias, Author
Piontek, Franziska, Author
Schewe, Jacob, AuthorSerdeczny, Olivia, AuthorSchellnhuber, Hans Joachim, Author more..
Affiliations:
1Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497761              
2Terrestrial Biosphere, Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497792              

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 Abstract: 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 (1GMT) 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 1GMT, approximately doubling between 1GMT D 2 and 3 C, and reaching a median value of 35% of the naturally vegetated land surface for 1GMT D 4 C. The regions projected to face the highest risk of severe ecosystem changes above 1GMT D 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.

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 Dates: 2013-10-032013-10-28
 Publication Status: Published online
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 Identifiers: Other: BGC1929
DOI: 10.1088/1748-9326/8/4/044018
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Title: Environmental Research Letters
  Abbreviation : Environ. Res. Lett.
Source Genre: Journal
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Publ. Info: Bristol : Institute of Physics
Pages: - Volume / Issue: 8 Sequence Number: 044018 Start / End Page: - Identifier: ISSN: 1748-9326
CoNE: https://pure.mpg.de/cone/journals/resource/1748-9326