Dynamic Predictions of Semi-Arid Land Cover Change

Tierney Foster-Wittig, Duke University, tierneyfw@gmail.com (Presenter)
John Albertson, Duke University, john.albertson@duke.edu

Savannas make up about 18% of the global landmass and contain about 22% of the world's population (Falkenmark and Rockstrom, 2008). Depending on the land use, amount of precipitation, herbivory, and fire frequency, either trees or grasses can be more prevalent than the other (Sankaran et al., 2005). Savannas in sub-Saharan Africa are usually considered water-limited ecosystems due to the seasonal rainfall. It has been shown that the vegetation responds on a short timescale to the rainfall (Scanlon et al, 2002). Therefore, savannas are foreseen as vulnerable ecosystems to future changes in the land use and climate change (Sankaran et al, 2005). The goal of this research is to quantify the vulnerability of this ecosystem by projecting future changes in the savanna structure due to land use and climate change through the use of a dynamic vegetation model.

This research will provide a better understanding of the relationship between precipitation and vegetation in savannas through the use of a Vegetation Dynamics Model developed to predict surface water fluxes and vegetation dynamics in water-limited ecosystem s (Williams and Albertson, 2005). In this project, remote sensing data will be used in the model in order to model leaf area index (LAI) for point locations within sub-Saharan Africa between Kenya and Botswana with a range of annual rainfall and savanna type. With this model, future projections are developed for what can be anticipated for the savanna structure based on three climate change scenarios; (1) decreased depth, (2) decreased frequency, and (3) decreased wet season length. The effect of the climate change scenarios on the plant water stress and uptake will be analyzed in order to understand the dynamic effects of precipitation on vegetation. Therefore, this will allow conclusions to be drawn about how mean precipitation and a changing climate effect the sensitivity of savanna vegetation.

Resources:

Falkenmark, M., and Rockstrom, Johan (2008). 'Building Resilience to Drought in Desertification-Prone Savannas in Sub-Saharan Africa: The Water Perspective.' Natural Resources Forum 32: 93-102.

Sankaran, M., Hanan, Niall P., Scholes, Robert J., Ratnman, Jayashree, Augustine, David J. , et al (2005). 'Determinants of Woody Cover in African Savannas.' Nature 438(8): 846-849.

Scanlon, T., J.D. Albertson, K.K. Caylor, & C.A.Willaims (2002). “Determining Land Surface Fractional Cover from NDVI and Rainfall Time Series for a Savanna Ecosystem.” Remote Sensing of Environment. 82:376-388.

Williams, C., and Albertson, J. (2005). “Contrasting Short- and Long-Timescale Effects of Vegetation Dynamics on Water and Carbon Fluxes in Water-Limited Ecosystems.” Water Resources Research. 41: 1-13

Presentation Type:  Poster

Session:  Global Change Impact & Vulnerability   (Tue 11:30 AM)

Associated Project(s): 

• Albertson, John: Optimal Dynamic Predictions of Semi-Arid Land Cover Change and Implications for Ecosystem Goods and Services ...details

Poster Location ID: 310