Abstract
Future climate change has the potential to increase
drought in many regions of the globe, making it essential
that land surface models (LSMs) used in coupled climate
models realistically capture the drought responses of veg-
etation. Recent data syntheses show that drought sensitiv-
ity varies considerably among plants from different climate
zones, but state-of-the-art LSMs currently assume the same
drought sensitivity for all vegetation. We tested whether vari-
able drought sensitivities are needed to explain the observed
large-scale patterns of drought impact on the carbon, water
and energy fluxes. We implemented data-driven drought sen-
sitivities in the Community Atmosphere Biosphere Land Ex-
change (CABLE) LSM and evaluated alternative sensitivi-
ties across a latitudinal gradient in Europe during the 2003
heatwave. The model predicted an overly abrupt onset of
drought unless average soil water potential was calculated
with dynamic weighting across soil layers. We found that
high drought sensitivity at the most mesic sites, and low
drought sensitivity at the most xeric sites, was necessary to
accurately model responses during drought. Our results in-
dicate that LSMs will over-estimate drought impacts in drier
climates unless different sensitivity of vegetation to drought
is taken into account.
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