95th ESA Annual Meeting (August 1 -- 6, 2010)

PS 104-119 - Modeling the impacts of climate change on water yield, carbon sequestration, and biodiversity across the lower 48 states of the United States

Friday, August 6, 2010
Exhibit Hall A, David L Lawrence Convention Center
Ge Sun1, Steve G. McNulty1, Asko Noormets2, Jean-Christophe Domec3, Emrys A. Treasure4, Erika Cohen1 and Jennifer Moore Myers5, (1)Eastern Forest Environmental Threat Assessment Center, USDA Forest Service, Raleigh, NC, (2)Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, (3)Nicholas School for the Environment, Duke University / Bordeaux Sciences Agro, Durham, NC, (4)Southern Global Change Program, USDA Forest Service, Raleigh, NC, (5)USDA-Forest Service, Raleigh, NC
Background/Question/Methods

Historic ecological literature suggests that regional ecosystem evapotranspiration, productivity, and biodiversity distributions are tightly coupled.  Climate has direct influences on rainfall distribution and evapotranspiration, therefore climate change and variability are likely to alter ecosystem productivity, water use and biodiversity patterns.  This study attempts to develop an integrated model that examines the trade-offs among water, carbon, and biodiversity at a large scale.  We developed a water supply stress index-carbon and biodiversity (WaSSI-CB) model by integrating published literature on water-carbon relations, global eddy flux data, landcover/land use, and climate and population dynamics data.

Results/Conclusions

The long term average gross primary productivity (GPP) and net ecosystem exchange of CO2 (NEE) were estimated as 7.6Pg C/m3/yr and -0.79 Pg C/m2/yr.  The southeastern U.S. appears to be the major carbon sink due to warm climate and a large forests area.  Simulation results compared favorably with USGS streamflow data for water yield and MODIS-based GPP and NEE estimates.  This study indicates that continental scale ecosystem productivity (GEP) can be reasonably estimated with a water-centered model.  We conclude that quantifying the water balance is critical to accurately predicting the effects of climate change on carbon balances and biodiversity. The modeling frame work can be used by researchers who concern broader biosphere-atmospheric interactions.