Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model

By P. Cox, R. Betts, Chris D. Jones, S. Spall, I. Totterdell. Nature, 2000

4,172 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fedd542a6c24f5dc2fc3b5cf8391326a605ccf85

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In Global and Planetary Change

Citations in the corpus

Reverse-selective polymeric membranes for gas separations (2013, methodology): “A central contributor is carbon dioxide (and other acid gases) emissions from hydrocarbon combustion in power plants and industrial processes [1].”
Basin-wide variations in foliar properties of Amazonian forest: phylogeny, soils and climate. (2009, background): “, 2008) or to predict the Amazon carbon balance (Cox et al., 2000).”
Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections (2012, background): “…et al 2012a), although a majority of models suggest that the ability of the terrestrial biosphere to store carbon will ultimately decline with global warming under a ‘business as usual’ future emissions scenario (e.g. Cox et al 2000, Cramer et al 2001, Joos et al 2001, Friedlingstein et al 2006).”
Increasing human dominance of tropical forests (2015, neutral): “Climatic risks to tropical forests emerged from some early models that incorporated a dynamic link between vegetation and the atmosphere and simulated severe drying and warming over Amazonia with ゲキェミキaキI;ミデノラゲゲふけSキWH;Iニげぶラa aラヴWゲデゲ (72).”
The potential ecological costs and cobenefits of REDD: a critical review and case study from the Amazon region (2009, background): “A large number of GCM studies of deforestation feedbacks to atmospheric circulation have been done, particularly in the Amazon Basin.”
Forecasting the Effects of Global Warming on Biodiversity (2007, methodology): “These models have led to further refinements in forecasts of atmospheric greenhouse gas concentrations and climate change (e.g., Cox et al. 2000, Friedlingstein et al. 2006).”
Aerogel-based thermal superinsulation: an overview (2012, background): “the influence of a rising carbon dioxide (CO2) concentration in the earth’s atmosphere [2] and its effect on the global climate [3, 4], has become indisputably clear: wide media coverage has inseminated public awareness at the turn of the millennium.”
Drought tolerance as predicted by leaf water potential at turgor loss point varies strongly across species within an Amazonian forest (2015, neutral): “However, these forests have been predicted to be vulnerable to drought intensification in simulations coupling a global climate model and a dynamic global vegetation model (Cox et al. 2000; Huntingford et al. 2008).”
Microbial contributions to climate change through carbon cycle feedbacks (2008, background): “Such acceleration in carbon loss from soil could significantly exacerbate the soil carbon cycle feedback if predicted climate change scenarios are correct (Cox et al., 2000; Friedlingstein et al., 2006).”
On the variability of respiration in terrestrial ecosystems: moving beyond Q10 (2006, background): “Respiration of terrestrial ecosystems is a major flux in the global carbon cycle and a potentially important mechanism of positive feedback to climate change (Houghton et al., 1998; Cox et al., 2000; Prentice et al., 2001).”
Microbial mediation of carbon-cycle feedbacks to climate warming (2012, background): “Most carbon–climate modelling studies predict a positive feedback in that warming leads to a decrease in ecosystem C storage due to a warming-induced increase in soil C release through respiratio”
The Orbiting Carbon Observatory (OCO) mission (2004, background): “If their efficiency decreases over time, the atmospheric CO2 buildup could accelerate (Cox et al., 2000; Friedlingstein et al., 2001).”