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Comparing the performance of different stomatal conductance models using modelled and measured plant carbon isotope ratios (δ(13) C): implications for assessing physiological forcing

Bodin, Per LU ; Gagen, M ; McCarroll, D ; Loader, N J ; Jalkanen, R ; Robertson, I ; R Switsur, V ; Waterhouse, J S ; Woodley, E J and Young, G H F , et al. (2013) In Global Change Biology 19(6). p.1709-1719
Abstract
Accurate modelling of long-term changes in plant stomatal functioning is vital to global climate change studies because changes in evapotranspiration influence temperature via physiological forcing of the climate. Various stomatal models are included in land surface schemes, but their robustness over longer timescales is difficult to validate. We compare the performance of three stomatal models, varying in their degree of complexity, and coupled to a land surface model. This is done by simulating the carbon isotope ratio of tree leaves (δ(13) Cleaf ) over a period of 53 years, and comparing the results with carbon isotope ratios obtained from tree rings (δ(13) Cstem ) measured at six sites in northern Europe. All three stomatal models fail... (More)
Accurate modelling of long-term changes in plant stomatal functioning is vital to global climate change studies because changes in evapotranspiration influence temperature via physiological forcing of the climate. Various stomatal models are included in land surface schemes, but their robustness over longer timescales is difficult to validate. We compare the performance of three stomatal models, varying in their degree of complexity, and coupled to a land surface model. This is done by simulating the carbon isotope ratio of tree leaves (δ(13) Cleaf ) over a period of 53 years, and comparing the results with carbon isotope ratios obtained from tree rings (δ(13) Cstem ) measured at six sites in northern Europe. All three stomatal models fail to capture the observed inter-annual variability in the measured δ(13) Cstem time series. However, the Soil-Plant-Atmosphere (SPA) model performs significantly better than the Ball-Berry (BB) or COX models when tested for goodness of fit against measured δ(13) Cstem . The δ(13) Cleaf time series simulated using the SPA model are significantly positively correlated (p < 0.05) with measured results over the full time period tested, at all six sites. The SPA model underestimates inter-annual variability measured in δ(13) Cstem , but is no worse than the BB model and significantly better than the COX model. The inability of current models to adequately replicate changes in stomatal response to rising levels of CO2 concentrations, and thus to quantify the associated physiological forcing, warrants further investigation. © 2013 Blackwell Publishing Ltd. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Global Change Biology
volume
19
issue
6
pages
1709 - 1719
publisher
Wiley-Blackwell
external identifiers
  • wos:000318353300006
  • pmid:23504999
  • scopus:84877021807
  • pmid:23504999
ISSN
1354-1013
DOI
10.1111/gcb.12192
language
English
LU publication?
yes
id
45e04441-7a47-4c52-a560-2583516b4865 (old id 3628068)
date added to LUP
2016-04-01 10:01:15
date last changed
2022-01-25 19:00:32
@article{45e04441-7a47-4c52-a560-2583516b4865,
  abstract     = {{Accurate modelling of long-term changes in plant stomatal functioning is vital to global climate change studies because changes in evapotranspiration influence temperature via physiological forcing of the climate. Various stomatal models are included in land surface schemes, but their robustness over longer timescales is difficult to validate. We compare the performance of three stomatal models, varying in their degree of complexity, and coupled to a land surface model. This is done by simulating the carbon isotope ratio of tree leaves (δ(13) Cleaf ) over a period of 53 years, and comparing the results with carbon isotope ratios obtained from tree rings (δ(13) Cstem ) measured at six sites in northern Europe. All three stomatal models fail to capture the observed inter-annual variability in the measured δ(13) Cstem time series. However, the Soil-Plant-Atmosphere (SPA) model performs significantly better than the Ball-Berry (BB) or COX models when tested for goodness of fit against measured δ(13) Cstem . The δ(13) Cleaf time series simulated using the SPA model are significantly positively correlated (p &lt; 0.05) with measured results over the full time period tested, at all six sites. The SPA model underestimates inter-annual variability measured in δ(13) Cstem , but is no worse than the BB model and significantly better than the COX model. The inability of current models to adequately replicate changes in stomatal response to rising levels of CO2 concentrations, and thus to quantify the associated physiological forcing, warrants further investigation. © 2013 Blackwell Publishing Ltd.}},
  author       = {{Bodin, Per and Gagen, M and McCarroll, D and Loader, N J and Jalkanen, R and Robertson, I and R Switsur, V and Waterhouse, J S and Woodley, E J and Young, G H F and Alton, P}},
  issn         = {{1354-1013}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{1709--1719}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Global Change Biology}},
  title        = {{Comparing the performance of different stomatal conductance models using modelled and measured plant carbon isotope ratios (δ(13) C): implications for assessing physiological forcing}},
  url          = {{http://dx.doi.org/10.1111/gcb.12192}},
  doi          = {{10.1111/gcb.12192}},
  volume       = {{19}},
  year         = {{2013}},
}