Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO2
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F. Woodward | M. Lomas | R. Betts | P. Ciais | A. Ito | N. Vuichard | R. Kahana | A. Friend | W. Lucht | P. Peylin | P. Cadule | R. Pavlick | D. Clark | L. Warszawski | A. Wiltshire | S. Schaphoff | R. Dankers | P. Falloon | A. Kleidon | S. Ostberg | K. Nishina | T. Rademacher | R. Keribin
[1] F. Piontek,et al. The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework , 2013, Proceedings of the National Academy of Sciences.
[2] F. Piontek,et al. A trend-preserving bias correction – the ISI-MIP approach , 2013 .
[3] Wolfgang Lucht,et al. Contribution of permafrost soils to the global carbon budget , 2013 .
[4] O. Phillips,et al. Residence times of woody biomass in tropical forests , 2013 .
[5] Volker Wulfmeyer,et al. HESS Opinions "Should we apply bias correction to global and regional climate model data?" , 2012 .
[6] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[7] P. Cox,et al. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics , 2011 .
[8] R. B. Jackson,et al. A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.
[10] D. Coomes,et al. Influences of Forest Structure, Climate and Species Composition on Tree Mortality across the Eastern US , 2010, PloS one.
[11] Stephen Sitch,et al. Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change. , 2010, The New phytologist.
[12] Shohei Murayama,et al. Greenhouse Gas Budget of a Cool-Temperate Deciduous Broad-Leaved Forest in Japan Estimated Using a Process-Based Model , 2010, Ecosystems.
[13] N. McDowell,et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .
[14] Peter E. Thornton,et al. Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models , 2009 .
[15] Darren T. Drewry,et al. The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing t , 2012 .
[16] I. C. Prentice,et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .
[17] S. Pacala,et al. Predictive Models of Forest Dynamics , 2008, Science.
[18] R. Schnur,et al. Climate-carbon cycle feedback analysis: Results from the C , 2006 .
[19] I. C. Prentice,et al. A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .
[20] F. Woodward,et al. Vegetation dynamics – simulating responses to climatic change , 2004, Biological reviews of the Cambridge Philosophical Society.
[21] W. Parton,et al. Progressive Nitrogen Limitation of Ecosystem Responses to Rising Atmospheric Carbon Dioxide , 2004 .
[22] Christopher B. Field,et al. Nitrogen and Climate Change , 2003, Science.
[23] I. C. Prentice,et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model , 2003 .
[24] Akihiko Ito,et al. A simulation model of the carbon cycle in land ecosystems (Sim-CYCLE) : A description based on dry-matter production theory and plot-scale validation , 2002 .
[25] F. Woodward,et al. Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models , 2001 .
[26] Andrew White,et al. Evaluation and analysis of a dynamic terrestrial ecosystem model under preindustrial conditions at the global scale , 2000 .