The balance of greenhouse gases in the terrestrial biosphere: can we predict large-scale and long-term patterns from short-term plot level observations?

Tian, Hanqin

Thursday, August 8, 2013

101E, Minneapolis Convention Center

Hanqin Tian¹, Chaoqun Lu¹, Wei Ren¹, Bo Tao¹, Jia Yang², Kamaljit Banger², Shufen Pan¹, Bowen Zhang¹, Qichun Yang³, Guangsheng Chen⁴ and Xiaofeng Xu⁵, (1)International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, (2)School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, (3)School of forestry and wildlife sciences, Auburn University, Auburn, AL, (4)Environmental Science Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, (5)School of Forestry and Wildlife Sciences, Auburn University, AL

We are faced with a plethora of large-scale environmental problems, most of which are not amenable to direct experimentation. Spatially-explicit, process-based ecosystem modeling approach is now playing a crucial role in synthesizing a huge quantity of data, conducting cross-scale extrapolation, analyzing multiple-factor interactions, and predicting large-scale ecological patterns and processes in a changing global environment. In this study, we have integrated a spatially-explicit, coupled biogeochemical model with multiple sources of data to explore the magnitude, spatial and temporal patterns of major greenhouse gas fluxes (CO₂, CH₄ and N₂O) in the terrestrial biosphere and uncertainties associated with spatial and temporal scaling.

IGN 17-3 - The balance of greenhouse gases in the terrestrial biosphere: can we predict large-scale and long-term patterns from short-term plot level observations?