Computer model predicts shifts in carbon absorption by forest canopies

ARS plant physiologist Erik Hamerlynck teamed up with Rutgers University biologist Karina Schafer and U.S. Forest Service colleagues Kenneth Clark and Nicholas Skowronski to calibrate the Canopy Conductance Constrained Carbon Assimilation (4C-A) model, a computer program that generates carbon balance estimates for tree canopies. Hamerlynck works at the ARS Southwest Watershed Research Center in Tucson, Ariz.

In the summer of 2006, the team measured tree sap flow and leaf-level photosynthetic gas exchange at different canopy levels in a stand of oaks and pines in the New Jersey Pine Barrens. These data were used to calibrate the 4C-A model to simulate the amount of carbon the tree canopy absorbs and releases into the atmosphere via photosynthesis and respiration.

Results from the calibrated model -- which were within 15 percent of estimates from three other techniques -- indicated that the average seasonal carbon absorption of the stand was around 1,240 grams of carbon per square meter of canopy area. The scientists then used the 4C-A model to estimate seasonal carbon exchange rates for 2007, when the same stand of trees was completely defoliated for 2 to 3 weeks during an infestation of gypsy moths. This infestation occurred when the stand was at its seasonal peak for carbon uptake.

The model showed that after the gypsy moths had finished foraging, the average carbon absorption rates for the growing season dropped 25 percent to around 940 grams of carbon per square meter of canopy area. This decline meant that the stand was no longer a net carbon "sink" -- it ended up adding more carbon back to the atmosphere than it had absorbed.

According to the U.S. Forest Service, U.S. forests absorb and store about 750 million metric tons of carbon dioxide each year. Managing forest resources to optimize carbon sequestration is essential in mitigating the effects of climate change.

Results from this work were published in Global Change Biology.