|Title||Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges|
|Publication Type||Journal Article|
|Year of Publication||2011|
|Authors||Liu, Shuguang, Bond-Lamberty Ben, Hicke Jeffrey A., Vargas Rodrigo, Zhao Shuqing, Chen Jing, Edburg Steven L., Hu Yueming, Liu Jinxun, A. McGuire David, Xiao Jingfeng, Keane Robert, Yuan Wenping, TANG JIANWU, LUO YIQI, Potter Christopher, and Oeding Jennifer|
|Journal||Journal of Geophysical Research|
|Keywords||BIOME-BGC model, canadian boreal forest, climate change, global vegetation model, land use histery, mountain pine-beetle, net primary productivity, soil organic matter, terrestrial biosphere model|
Forest disturbances greatly alter the carbon cycle at various spatial and temporal scales. It is critical to understand disturbance regimes and their impacts to better quantify regional and global carbon dynamics. This review of the status and major challenges in representing the impacts of disturbances in modeling the carbon dynamics across North America revealed some major advances and challenges. First, significant advances have been made in representation, scaling, and characterization of disturbances that should be included in regional modeling efforts. Second, there is a need to develop effective and comprehensive process-based procedures and algorithms to quantify the immediate and long-term impacts of disturbances on ecosystem succession, soils, microclimate, and cycles of carbon, water, and nutrients. Third, our capability to simulate the occurrences and severity of disturbances is very limited. Fourth, scaling issues have rarely been addressed in continental scale model applications. It is not fully understood which finer scale processes and properties need to be scaled to coarser spatial and temporal scales. Fifth, there are inadequate databases on disturbances at the continental scale to support the quantification of their effects on the carbon balance in North America. Finally, procedures are needed to quantify the uncertainty of model inputs, model parameters, and model structures, and thus to estimate their impacts on overall model uncertainty. Working together, the scientific community interested in disturbance and its impacts can identify the most uncertain issues surrounding the role of disturbance in the North American carbon budget and develop working hypotheses to reduce the uncertainty.