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hal.structure.identifierNational Sun Yat-sen University [NSYSU]
dc.contributor.authorCHEN, Xiuzhi
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierICOS-ATC [ICOS-ATC]
dc.contributor.authorCIAIS, Philippe
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierModélisation des Surfaces et Interfaces Continentales [MOSAIC]
dc.contributor.authorMAIGNAN, Fabienne
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierLaboratoire de Météorologie Dynamique (UMR 8539) [LMD]
dc.contributor.authorZHANG, Yuan
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierLaboratoire de Météorologie Dynamique (UMR 8539) [LMD]
dc.contributor.authorBASTOS, Ana
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorLIU, Liyang
hal.structure.identifierNOVELTIS [Sté]
dc.contributor.authorBACOUR, Cédric
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFAN, Lei
hal.structure.identifierDepartment of Earth and Environmental Engineering [New York]
dc.contributor.authorGENTINE, Pierre
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorGOLL, Daniel
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorGREEN, Julia
hal.structure.identifierInstitute of Industrial Science [IIS]
dc.contributor.authorKIM, Hyungjun
hal.structure.identifierLaboratoire de Météorologie Dynamique (UMR 8539) [LMD]
dc.contributor.authorLI, Laurent
hal.structure.identifierNanjing University of Information Science and Technology [NUIST]
dc.contributor.authorLIU, Yi
hal.structure.identifierSino-French Institute for Earth System Science, College of Urban and Environmental Sciences
dc.contributor.authorPENG, Shushi
hal.structure.identifierDepartment of Geographical Sciences [College Park]
dc.contributor.authorTANG, Hao
hal.structure.identifierNational Sun Yat-sen University [NSYSU]
dc.contributor.authorVIOVY, Nicolas
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierThe University of Hong Kong [HKU]
dc.contributor.authorWU, Jin
hal.structure.identifierSouthern Marine Science and Engineering Guangdong Laboratory
hal.structure.identifierNational Sun Yat-sen University [NSYSU]
dc.contributor.authorYUAN, Wenping
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorZHANG, Haicheng
dc.date.accessioned2024-04-08T11:51:08Z
dc.date.available2024-04-08T11:51:08Z
dc.date.issued2021-06
dc.identifier.issn0886-6236
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195419
dc.description.abstractEnAmazonian evergreen forests show distinct canopy phenology and photosynthetic seasonality but the climatic triggers are not well understood. This imposes a challenge for modeling leaf phenology and photosynthesis seasonality in land surface models (LSMs) across Amazonian evergreen forest biome. On continental scale, we tested two climatic triggers suggested by site observations, vapor pressure deficit (VPD), and short-wave incoming radiation (SW) for defining leaf shedding and incorporated VPD- and SW-triggered new canopy phenology modules in the ORCHIDEE LSM (hereafter VPD-AP and SW-AP versions). Our results show that both VPD and SW are plausible precursors of large scale litterfall seasonality across the basin by comparing against in situ data from 14 sites. Specially, both VPD-AP and SW-AP correctly capture the increases in litterfall during the early dry season, followed by a flush of new leaves with increasing photosynthetic rates during the later dry season. The VPD-AP version performs better than the SW-AP version in capturing a dry-season increase of photosynthesis across the wet Amazonia areas where mean annual precipitation exceeds 2,000 mm yr$^{-1}$, consistent with previous satellite data analysis. Both VPD-AP and SW-AP model versions perform well in northern, central and southern Amazon regions where the SW seasonality is unimodal, but miss the seasonality of satellite GPP proxies in the eastern region off the coast of Guyana shield where SW seasonality is bimodal. Our findings imply that atmospheric dryness and sunlight availability likely explain the seasonality of leaf shedding and leaf flush processes, respectively, and consequently control canopy photosynthesis in Amazonian evergreen forests
dc.description.sponsorshipClimate Services Through Knowledge Co-Production: A Euro-South American Initiative For Strengthening Societal Adaptation Response to Extreme Events
dc.language.isoen
dc.publisherAmerican Geophysical Union
dc.subject.enAmazonian evergreen forests
dc.subject.enbiogeochemical cycles of carbon fluxes
dc.subject.enclimatic triggers
dc.subject.endry-season photosynthesis
dc.subject.enland surface models
dc.subject.entropical phenology
dc.title.enVapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across amazonian evergreen broadleaved forest
dc.typeArticle de revue
dc.identifier.doi10.1029/2020GB006893
dc.subject.halPlanète et Univers [physics]/Océan, Atmosphère
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
bordeaux.journalGlobal Biogeochemical Cycles
bordeaux.page1-15
bordeaux.volume35
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue6
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03277337
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03277337v1
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