Dynamics of global vegetation biomass simulated by the integrated Earth System Model

Tuesday, 16 December 2014
Jiafu Mao1, Xiaoying Shi1, Alan V Di Vittorio2, Peter E Thornton3, Shilong Piao4, Xuebin Yang5, John Truesdale6, Ben P Bond-Lamberty7, Louise P Chini8, Allison M Thomson7, George C Hurtt9, William Collins10 and James Edmonds7, (1)Oak Ridge National Lab, Oak Ridge, TN, United States, (2)Lawrence Berkeley National Lab, Berkeley, CA, United States, (3)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (4)Peking University, Beijing, China, (5)University of Texas at Austin, Department of Geography and Environment, Austin, TX, United States, (6)Independent contractor with Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (7)Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, United States, (8)University of New Hampshire, Durham, NH, United States, (9)University of Maryland College Park, College Park, MD, United States, (10)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
The global vegetation biomass stores huge amounts of carbon and is thus important to the global carbon budget (Pan et al., 2010). For the past few decades, different observation-based estimates and modeling of biomass in the above- and below-ground vegetation compartments have been comprehensively conducted (Saatchi et al., 2011; Baccini et al., 2012). However, uncertainties still exist, in particular for the simulation of biomass magnitude, tendency, and the response of biomass to climatic conditions and natural and human disturbances. The recently successful coupling of the integrated Earth System Model (iESM) (Di Vittorio et al., 2014; Bond-Lamberty et al., 2014), which links the Global Change Assessment Model (GCAM), Global Land-use Model (GLM), and Community Earth System Model (CESM), offers a great opportunity to understand the biomass-related dynamics in a fully-coupled natural and human modeling system. In this study, we focus on the systematic analysis and evaluation of the iESM simulated historical (1850-2005) and future (2006-2100) biomass changes and the response of the biomass dynamics to various impact factors, in particular the human-induced Land Use/Land Cover Change (LULCC). By analyzing the iESM simulations with and without the interactive LULCC feedbacks, we further study how and where the climate feedbacks affect socioeconomic decisions and LULCC, such as to alter vegetation carbon storage.


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