Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe

De Kauwe, M. G.; Zhou, S. -X.; Medlyn, B. E.; Pitman, A. J.; Wang, Y. -P.; Duursma, R. A.; Prentice, I. C.

doi:10.5194/bg-12-7503-2015

Title: Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe

Journal Article · Mon Dec 21 00:00:00 EST 2015 · Biogeosciences (Online)

DOI:https://doi.org/10.5194/bg-12-7503-2015· OSTI ID:1312907

De Kauwe, M. G. ^[1]; Zhou, S. -X. ^[2]; Medlyn, B. E. ^[3]; Pitman, A. J. ^[4]; Wang, Y. -P. ^[5]; Duursma, R. A. ^[6];

^[7]

Macquarie Univ., New South Wales (Australia)
Macquarie Univ., New South Wales (Australia); CSIRO Agriculture Flagship, Glen Osmond (Australia)
Macquarie Univ., New South Wales (Australia); Western Sydney Univ., Penrith, NSW (Australia)
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, Sydney (Australia)
CSIRO Ocean and Atmosphere Flagship, Aspendale, VIC (Australia)
Western Sydney Univ., Penrith, NSW (Australia)
Macquarie Univ., New South Wales (Australia); Imperial College London (United Kingdom)

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 vegetation. Recent data syntheses show that drought sensitivity 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 variable 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 sensitivities in the Community Atmosphere Biosphere Land Exchange (CABLE) LSM and evaluated alternative sensitivities 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. Furthermore, our results indicate 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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Research Organization:: Oregon State Univ., Corvallis, OR (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: FG02-04ER63917; FG02-04ER63911

OSTI ID:: 1312907

Journal Information:: Biogeosciences (Online), Vol. 12, Issue 24; ISSN 1726-4189

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 75 works

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Bridging Drought Experiment and Modeling: Representing the Differential Sensitivities of Leaf Gas Exchange to Drought Zhou, Shuang-Xi; Prentice, I. Colin; Medlyn, Belinda E. Frontiers in Plant Science, Vol. 9 https://doi.org/10.3389/fpls.2018.01965	journal	January 2019
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Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems Drewniak, Beth; Gonzalez-Meler, Miquel Forests, Vol. 8, Issue 8 https://doi.org/10.3390/f8080267	journal	July 2017
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State-of-the-art global models underestimate impacts from climate extremes. Schewe, Jacob; Gosling, Simon N.; Reyer, Christopher Springer Science and Business Media LLC https://doi.org/10.17863/cam.37807	journalarticle	January 2019
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