Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe
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 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.
- Authors:
-
[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)
- Publication Date:
- Research Org.:
- Oregon State Univ., Corvallis, OR (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1312907
- Grant/Contract Number:
- FG02-04ER63917; FG02-04ER63911
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biogeosciences (Online)
- Additional Journal Information:
- Journal Name: Biogeosciences (Online); Journal Volume: 12; Journal Issue: 24; Journal ID: ISSN 1726-4189
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
De Kauwe, M. G., Zhou, S. -X., Medlyn, B. E., Pitman, A. J., Wang, Y. -P., Duursma, R. A., and Prentice, I. C. Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe. United States: N. p., 2015.
Web. doi:10.5194/bg-12-7503-2015.
De Kauwe, M. G., Zhou, S. -X., Medlyn, B. E., Pitman, A. J., Wang, Y. -P., Duursma, R. A., & Prentice, I. C. Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe. United States. https://doi.org/10.5194/bg-12-7503-2015
De Kauwe, M. G., Zhou, S. -X., Medlyn, B. E., Pitman, A. J., Wang, Y. -P., Duursma, R. A., and Prentice, I. C. Mon .
"Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe". United States. https://doi.org/10.5194/bg-12-7503-2015. https://www.osti.gov/servlets/purl/1312907.
@article{osti_1312907,
title = {Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe},
author = {De Kauwe, M. G. and Zhou, S. -X. and Medlyn, B. E. and Pitman, A. J. and Wang, Y. -P. and Duursma, R. A. and Prentice, I. C.},
abstractNote = {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.},
doi = {10.5194/bg-12-7503-2015},
journal = {Biogeosciences (Online)},
number = 24,
volume = 12,
place = {United States},
year = {Mon Dec 21 00:00:00 EST 2015},
month = {Mon Dec 21 00:00:00 EST 2015}
}
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