A climate-change risk analysis for world ecosystems

University of Bristol · Tyndall Centre · +1 more institution

PubMed
Indexed incrossrefpubmed

Abstract

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: 3 degrees C. High risk of forest loss is shown for Eurasia, eastern China, Canada, Central America, and Amazonia, with forest extensions into the Arctic and…

Citation impact

772
total citations
FWCI
25.88
Percentile
100%
References
37
Citations per year

Authors

4

Topics & keywords

Keywords
  • Climate change
  • Environmental science
  • Ecosystem
  • Greenhouse gas
  • Global warming
  • Amazon rainforest
  • Climate model
  • Climatology
UN Sustainable Development Goals
  • Climate action
No related works found for this paper.