A climate-change risk analysis for world ecosystems

We quantify the risks of climate-induced changes in key ecosystem processes during the 21st century by forcing a dynamic global vegetation model with multiple scenarios from 16 climate models and mapping the proportions of model runs showing forest/nonforest shifts or exceedance of natural variabili...

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Published in:Proceedings of the National Academy of Sciences
Main Authors: Scholze, Marko, Knorr, Wolfgang, Arnell, Nigel W., Prentice, I. Colin
Format: Text
Language:English
Published: National Academy of Sciences 2006
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1559762
http://www.ncbi.nlm.nih.gov/pubmed/16924112
https://doi.org/10.1073/pnas.0601816103
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spelling ftpubmed:oai:pubmedcentral.nih.gov:1559762 2023-05-15T15:11:07+02:00 A climate-change risk analysis for world ecosystems Scholze, Marko Knorr, Wolfgang Arnell, Nigel W. Prentice, I. Colin 2006-08-29 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1559762 http://www.ncbi.nlm.nih.gov/pubmed/16924112 https://doi.org/10.1073/pnas.0601816103 en eng National Academy of Sciences http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1559762 http://www.ncbi.nlm.nih.gov/pubmed/16924112 http://dx.doi.org/10.1073/pnas.0601816103 © 2006 by The National Academy of Sciences of the USA Physical Sciences Text 2006 ftpubmed https://doi.org/10.1073/pnas.0601816103 2013-08-31T06:18:04Z We quantify the risks of climate-induced changes in key ecosystem processes during the 21st century by forcing a dynamic global vegetation model with multiple scenarios from 16 climate models and mapping the proportions of model runs showing forest/nonforest shifts or exceedance of natural variability in wildfire frequency and freshwater supply. Our analysis does not assign probabilities to scenarios or weights to models. Instead, we consider distribution of outcomes within three sets of model runs grouped by the amount of global warming they simulate: <2°C (including simulations in which atmospheric composition is held constant, i.e., in which the only climate change is due to greenhouse gases already emitted), 2–3°C, and >3°C. High risk of forest loss is shown for Eurasia, eastern China, Canada, Central America, and Amazonia, with forest extensions into the Arctic and semiarid savannas; more frequent wildfire in Amazonia, the far north, and many semiarid regions; more runoff north of 50°N and in tropical Africa and northwestern South America; and less runoff in West Africa, Central America, southern Europe, and the eastern U.S. Substantially larger areas are affected for global warming >3°C than for <2°C; some features appear only at higher warming levels. A land carbon sink of ≈1 Pg of C per yr is simulated for the late 20th century, but for >3°C this sink converts to a carbon source during the 21st century (implying a positive climate feedback) in 44% of cases. The risks continue increasing over the following 200 years, even with atmospheric composition held constant. Text Arctic Climate change Global warming PubMed Central (PMC) Arctic Canada Proceedings of the National Academy of Sciences 103 35 13116 13120
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Physical Sciences
spellingShingle Physical Sciences
Scholze, Marko
Knorr, Wolfgang
Arnell, Nigel W.
Prentice, I. Colin
A climate-change risk analysis for world ecosystems
topic_facet Physical Sciences
description We quantify the risks of climate-induced changes in key ecosystem processes during the 21st century by forcing a dynamic global vegetation model with multiple scenarios from 16 climate models and mapping the proportions of model runs showing forest/nonforest shifts or exceedance of natural variability in wildfire frequency and freshwater supply. Our analysis does not assign probabilities to scenarios or weights to models. Instead, we consider distribution of outcomes within three sets of model runs grouped by the amount of global warming they simulate: <2°C (including simulations in which atmospheric composition is held constant, i.e., in which the only climate change is due to greenhouse gases already emitted), 2–3°C, and >3°C. High risk of forest loss is shown for Eurasia, eastern China, Canada, Central America, and Amazonia, with forest extensions into the Arctic and semiarid savannas; more frequent wildfire in Amazonia, the far north, and many semiarid regions; more runoff north of 50°N and in tropical Africa and northwestern South America; and less runoff in West Africa, Central America, southern Europe, and the eastern U.S. Substantially larger areas are affected for global warming >3°C than for <2°C; some features appear only at higher warming levels. A land carbon sink of ≈1 Pg of C per yr is simulated for the late 20th century, but for >3°C this sink converts to a carbon source during the 21st century (implying a positive climate feedback) in 44% of cases. The risks continue increasing over the following 200 years, even with atmospheric composition held constant.
format Text
author Scholze, Marko
Knorr, Wolfgang
Arnell, Nigel W.
Prentice, I. Colin
author_facet Scholze, Marko
Knorr, Wolfgang
Arnell, Nigel W.
Prentice, I. Colin
author_sort Scholze, Marko
title A climate-change risk analysis for world ecosystems
title_short A climate-change risk analysis for world ecosystems
title_full A climate-change risk analysis for world ecosystems
title_fullStr A climate-change risk analysis for world ecosystems
title_full_unstemmed A climate-change risk analysis for world ecosystems
title_sort climate-change risk analysis for world ecosystems
publisher National Academy of Sciences
publishDate 2006
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1559762
http://www.ncbi.nlm.nih.gov/pubmed/16924112
https://doi.org/10.1073/pnas.0601816103
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Climate change
Global warming
genre_facet Arctic
Climate change
Global warming
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1559762
http://www.ncbi.nlm.nih.gov/pubmed/16924112
http://dx.doi.org/10.1073/pnas.0601816103
op_rights © 2006 by The National Academy of Sciences of the USA
op_doi https://doi.org/10.1073/pnas.0601816103
container_title Proceedings of the National Academy of Sciences
container_volume 103
container_issue 35
container_start_page 13116
op_container_end_page 13120
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