B54C-04 – Improving Simulated Spatial Distribution of Productivity and Biomass in Amazon Forests using the ACME Land Model

Authors

Xiaojuan Yang
Oak Ridge National Laboratory
Peter E. Thornton
Oak Ridge National Laboratory
Daniel M. Ricciuto
Oak Ridge National Laboratory
Xiaoying Shi
Oak Ridge National Laboratory
Min Xu
Oak Ridge National Laboratory
Forrest M. Hoffman (forrest at climatemodeling dot org)
Oak Ridge National Laboratory
Richard J. Norby
Oak Ridge National Laboratory

Session

Integrated Understanding of Climate, Carbon, Nutrient Cycles, Human Activities, and Their Interactions in Terrestrial Ecosystems III
Friday, December 15, 2017 16:45–17:00
New Orleans Ernest N. Morial Convention Center – 383–385

Abstract

Tropical forests play a crucial role in the global carbon cycle, accounting for one third of the global NPP and containing about 25% of global vegetation biomass and soil carbon. This is particularly true for tropical forests in the Amazon region, as it comprises approximately 50% of the world’s tropical forests. It is therefore important for us to understand and represent the processes that determine the fluxes and storage of carbon in these forests. In this study, we show that the implementation of phosphorus (P) cycle and P limitation in the ACME Land Model (ALM) improves simulated spatial pattern of NPP. The P-enabled ALM is able to capture the west-to-east gradient of productivity, consistent with field observations. We also show that by improving the representation of mortality processes, ALM is able to reproduce the observed spatial pattern of above ground biomass across the Amazon region.


Forrest M. Hoffman (forrest at climatemodeling dot org)