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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites

hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorSCHMITT, Sylvain
hal.structure.identifierUniversity of Bristol [Bristol]
dc.contributor.authorFISCHER, Fabian
hal.structure.identifierUniversity of Cambridge [UK] [CAM]
dc.contributor.authorBALL, James
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorBARBIER, Nicolas
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorBOISSEAUX, Marion
hal.structure.identifierSILVA [SILVA]
dc.contributor.authorBONAL, Damien
hal.structure.identifierEcologie des forêts de Guyane [UMR ECOFOG]
dc.contributor.authorBURBAN, Benoit
hal.structure.identifierSun Yat-sen University [Guangzhou] [SYSU]
dc.contributor.authorCHEN, Xiuzhi
hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierEcologie des forêts de Guyane [UMR ECOFOG]
dc.contributor.authorDERROIRE, Géraldine
hal.structure.identifierUniversity of Florida [Gainesville] [UF]
dc.contributor.authorLICHSTEIN, Jeremy
hal.structure.identifierUniversity of Bristol [Bristol]
dc.contributor.authorNEMETSCHEK, Daniela
hal.structure.identifierUniversity of Arizona
dc.contributor.authorRESTREPO-COUPE, Natalia
hal.structure.identifierUniversity of Arizona
dc.contributor.authorSALESKA, Scott
hal.structure.identifierEcologie des forêts de Guyane [UMR ECOFOG]
dc.contributor.authorSELLAN, Giacomo
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorVERLEY, Philippe
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorVINCENT, Grégoire
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorZIEGLER, Camille
hal.structure.identifierCentre de Recherche sur la Biodiversité et l'Environnement [CRBE]
dc.contributor.authorCHAVE, Jérôme
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorMARÉCHAUX, Isabelle
dc.date.issued2024-10-10
dc.description.abstractEnTROLL 4.0 is an individual-based forest dynamics model that jointly simulates the structure, diversity and functioning of tropical forests, including their water balance, carbon fluxes and leaf phenology, while accounting for intraspecific trait variation for a large number of species. In a companion paper, we describe how the model represents the physiological and demographic processes that control the tree life cycle in a one-metre-resolution spatially-explicit scene and uses plant functional traits measurable in the field to parameterize such processes across species and individuals (Maréchaux et al., submitted companion paper). Here we evaluate the performance of TROLL 4.0 for two Amazonian sites with contrasting soil and climate properties. We assessed the model's ability to represent forest structure and composition using lidar-derived canopy height distributions and forest inventories combined with information on plant functional traits. We also evaluated the model's ability to represent carbon and water fluxes, as well as leaf area variation, at daily and fortnightly resolution over a decade, using detailed information from on-site eddy covariance towers, satellite data and ground-based or air-borne lidar data. We finally compared the responses of carbon and water fluxes to environmental drivers between simulated and observed data. Overall, TROLL 4.0 provided a realistic representation of forests at both sites. The simulated canopy height distribution showed a high correlation coefficient (CC) with observed aerial and satellite data (CC>0.92), while the species and functional composition were well represented (CC>0.75). TROLL 4.0 also realistically simulated the seasonal variability of carbon and water fluxes (CC>0.46) and their responses to environmental drivers, while capturing temporal variations in leaf area (CC>0.76) and its partitioning in leaf age cohorts. However, TROLL 4.0 overestimated annual gross primary productivity at both sites (mean RMSEP=0.94 kgC m-2 yr-1) and evapotranspiration at one site (mean RMSEP=0.75 mm day-1), likely due to an underestimation of the soil water depletion and stomatal control during the dry season. This evaluation highlights the potential of TROLL 4.0 to represent ecosystem fluxes and the structure and diversity of plant communities at a fine resolution, paving the way for model predictions of the effects of climate change, fragmentation and forest management on forest structure and dynamics.
dc.description.sponsorshipMUSE - ANR-16-IDEX-0006
dc.description.sponsorshipTowards a Unified theory of biotic Interactions: the roLe of environmental - ANR-10-LABX-0041
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enTROLL 4.0
dc.subject.enModel evaluation
dc.title.enTROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites
dc.typeDocument de travail - Pré-publication
dc.identifier.doi10.5194/egusphere-2024-3106
dc.subject.halSciences de l'environnement
hal.identifierhal-04769801
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04769801v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2024-10-10&rft.au=SCHMITT,%20Sylvain&FISCHER,%20Fabian&BALL,%20James&BARBIER,%20Nicolas&BOISSEAUX,%20Marion&rft.genre=preprint


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