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dc.contributor.authorYao, Yitong
dc.contributor.authorJoetzjer, Emilie
dc.contributor.authorCiais, Philippe
dc.contributor.authorViovy, Nicolas
dc.contributor.authorCresto Aleina, Fabio
dc.contributor.authorChave, Jerome
dc.contributor.authorSack, Lawren
dc.contributor.authorBartlett, Megan
dc.contributor.authorMeir, Patrick
dc.contributor.authorFisher, Rosie
dc.contributor.authorLuyssaert, Sebastiaan
dc.date.accessioned2024-02-20T09:20:09Z
dc.date.available2024-02-20T09:20:09Z
dc.date.created2022-12-05T09:56:24Z
dc.date.issued2022
dc.identifier.citationGeoscientific Model Development. 2022, 15 (20), 7809-7833.en_US
dc.identifier.issn1991-959X
dc.identifier.urihttps://hdl.handle.net/11250/3118594
dc.description.abstractExtreme drought events in Amazon forests are expected to become more frequent and more intense with climate change, threatening ecosystem function and carbon balance. Yet large uncertainties exist on the resilience of this ecosystem to drought. A better quantification of tree hydraulics and mortality processes is needed to anticipate future drought effects on Amazon forests. Most state-of-the-art dynamic global vegetation models are relatively poor in their mechanistic description of these complex processes. Here, we implement a mechanistic plant hydraulic module within the ORCHIDEE-CAN-NHA r7236 land surface model to simulate the percentage loss of conductance (PLC) and changes in water storage among organs via a representation of the water potentials and vertical water flows along the continuum from soil to roots, stems and leaves. The model was evaluated against observed seasonal variability in stand-scale sap flow, soil moisture and productivity under both control and drought setups at the Caxiuanã throughfall exclusion field experiment in eastern Amazonia between 2001 and 2008. A relationship between PLC and tree mortality is built in the model from two empirical parameters, the cumulated duration of drought exposure that triggers mortality, and the mortality fraction in each day exceeding the exposure. Our model captures the large biomass drop in the year 2005 observed 4 years after throughfall reduction, and produces comparable annual tree mortality rates with observation over the study period. Our hydraulic architecture module provides promising avenues for future research in assimilating experimental data to parameterize mortality due to drought-induced xylem dysfunction. We also highlight that species-based (isohydric or anisohydric) hydraulic traits should be further tested to generalize the model performance in predicting the drought risks.en_US
dc.language.isoengen_US
dc.publisherEGUen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleForest fluxes and mortality response to drought: Model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experimenten_US
dc.title.alternativeForest fluxes and mortality response to drought: Model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experimenten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber7809-7833en_US
dc.source.volume15en_US
dc.source.journalGeoscientific Model Developmenten_US
dc.source.issue20en_US
dc.identifier.doi10.5194/gmd-15-7809-2022
dc.identifier.cristin2088499
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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