English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/persons/resource/persons62438

Kleidon,  Axel
Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62507

Pavlick,  Ryan
Terrestrial Biosphere, Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

BGC1929.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-9A7C-F
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.