the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulating the drought response of European tree species with the dynamic vegetation model LPJ-GUESS (v4.1, 97c552c5)
Abstract. Due to climate change severe drought events have become increasingly commonplace across Europe in recent decades with future projections indicating that this trend will likely continue, posing questions about the continued viability of European forests. Observations from the most recent pan-European droughts suggest that these types of "hotter droughts" may acutely alter the carbon balance of European forest ecosystems. Yet, substantial uncertainty remains regarding the possible future impacts of severe drought on the European forest carbon sink. Dynamic vegetation models can help to shed light on such uncertainties, however, the inclusion of dedicated plant hydraulic architecture modules in these has only recently become more widespread. Such developments intended to improve model performance also tend to add substantial complexity, yet, the sensitivity of the models to newly introduced processes is often left undetermined. Here, we describe and evaluate the recently developed mechanistic plant hydraulic architecture version of LPJ-GUESS and provide a parameterization for 12 common European forest tree species. We quantify the uncertainty introduced by the new processes using a variance-based global sensitivity analysis. Additionally, we evaluate the model against water and carbon fluxes from a network of eddy covariance flux sites across Europe. Our results indicate that the new model is able to capture drought-induced patterns of evapotranspiration along an isohydric gradient and manages to reproduce flux observations during drought better than standard LPJ-GUESS. Further, the sensitivity analysis suggests that hydraulic process related to hydraulic failure and stomatal regulation play the largest roles in shaping model response to drought.
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Status: open (until 09 Jan 2025)
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RC1: 'Comment on egusphere-2024-3352', Nicolas Martin-StPaul, 03 Dec 2024
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Dear Authors,I have been asked to review the paper but unfortunately, I don't have time to perform an in-depth peer-review now. I also feel this is not so usefull as the paper is already in minor revision.I still took the time to read the paper on demand on the editor. While I found the overall idea of great interest of coupling forest dynamic models with plant hydraulic, I have a few concerns :Part of the traits database used to parametrize plant hydraulic model is wrong, in particular for cavitation resistance (P50) more than half of the species have wrong data. This is probably because author used data that have not been filtered for different artefacts that affect P50 measurements (Cochard et al 2013). I encourage the author to have a look to this database which is dedicated for plant hydraulic models and acknowledge uncertainties in parametrizaiton : https://zenodo.org/records/854700This database is from this papers : Martin-StPaul, N., Delzon, S., & Cochard, H. (2017). Plant resistance to drought depends on timely stomatal closure. Ecology Letters, 20(11), 1437–1447. https://doi.org/10.1111/ele.12851. This paper explains how the data should be filter to avoid artifacts> I know it is hardly acceptable to rerun simulations at this stage. So I would at least encourage the author to be cautious and add some "warnings" in their discussion in regard to the parametrization of plant hydraulic models from traits database to avoid dubious data to spread in the other model parametrization. There are some discussion in this point in this paper :Ruffault, J., Pimont, F., Cochard, H., Dupuy, J.-L., & Martin-StPaul, N. (2022). SurEau-Ecos v2.0: A trait-based plant hydraulics model for simulations of plant water status and drought-induced mortality at the ecosystem level. Geoscientific Model Development, 15(14), 5593–5626. https://doi.org/10.5194/gmd-15-5593-2022>Regarding the sensitivity analysis, I think the author should compare their results to recent modelling papers in the field of plant hydraulic :Ruffault, J., Pimont, F., Cochard, H., Dupuy, J.-L., & Martin-StPaul, N. (2022). SurEau-Ecos v2.0: A trait-based plant hydraulics model for simulations of plant water status and drought-induced mortality at the ecosystem level. Geoscientific Model Development, 15(14), 5593–5626. https://doi.org/10.5194/gmd-15-5593-2022Cochard, H., Pimont, F., Ruffault, J., & Martin-StPaul, N. (2021). SurEau: A mechanistic model of plant water relations under extreme drought. Annals of Forest Science, 78(2), 55. https://doi.org/10.1007/s13595-021-01067-y> There is no real validation that the new model allows to predict drought stress/drought vulnerability of multiple species. This is not really a problem because the paper intends to present a new model but it should be stated and called for evaluation.> Also note there are some typos/strange things in Figure 5 :- the unit for ETR is strange (mm/m) in general mm is used.- the unit for GPP is wrong : I have never seen GPP in mm/m.best regardsCochard, H., Badel, E., Herbette, S., Delzon, S., Choat, B., & Jansen, S. (2013). Methods for measuring plant vulnerability to cavitation: A critical review. Journal of Experimental Botany, 64(15), 4779–4791. https://doi.org/10.1093/jxb/ert193Citation: https://doi.org/
10.5194/egusphere-2024-3352-RC1
Model code and software
LPJ-GUESS v4.1.1 Model Code J. Nord et al. https://zenodo.org/records/8065737
LPJ-GUESS-HYD code used in this study P. Papastefanou et al. https://doi.org/10.5281/zenodo.14000806
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