A land surface scheme with and without groundwater-vegetation interactions is
used to explore the impact of rainfall variability on transpiration over drought-vulnerable
regions of Southeastern Australia. We demonstrate that if groundwater is included in the
simulations there is a low correlation between rainfall variability and the response of
transpiration to this variability over forested regions. Groundwater reduces near-surface
water variability enabling forests to maintain transpiration through several years of low
rainfall, in agreement with independent observations of vegetation greenness. If
groundwater is not included, the transpiration variability matches the rainfall variability
independent of land cover type. Our results suggest that omitting groundwater in regions
where groundwater sustains forests will (a) likely overestimate the likelihood of forest die-
back during drought; (b) overestimate a positive feedback linked with declining
transpiration and a drying boundary layer and (c) underestimate the impact of land cover
change due to inadequately simulating the different responses to drought for different land
cover types.
Key Figure
Figure 8: The difference in the standard deviation of the deseasonalized (by removing the mean
annual cycle) total column soil moisture (in kg m-2) between the NoGW and GW simulations. The
stippling (dots) indicate regions covered by at least 60% grasses and the areas with at least 85% forest
cover are marked with an x.
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Last updated 31st January 2013