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Method comparison of indirect assessments of understory leaf area index (LAIu): A case study across the extended network of ICOS forest ecosystem sites in Europe

hal.structure.identifierTartu Observatory
dc.contributor.authorGEORGE, Jan-Peter
hal.structure.identifierChiba University
dc.contributor.authorYANG, Wei
hal.structure.identifierJapan Agency for Marine-Earth Science and Technology [JAMSTEC]
dc.contributor.authorKOBAYASHI, Hideki
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorBIERMANN, Tobias
hal.structure.identifierFundacion CEAM
dc.contributor.authorCARRARA, Arnaud
hal.structure.identifierAosta Valley Regional Environmental Protection Agency [ARPA]
dc.contributor.authorCREMONESE, Edoardo
hal.structure.identifierSILVA [SILVA]
dc.contributor.authorCUNTZ, Matthias
hal.structure.identifierNational Research Council of Italy | Consiglio Nazionale delle Ricerche [CNR]
dc.contributor.authorFARES, Silvano
hal.structure.identifierUniversità cattolica del Sacro Cuore [Brescia] [Unicatt]
dc.contributor.authorGEROSA, Giacomo
hal.structure.identifierTechnische Universität Dresden = Dresden University of Technology [TU Dresden]
dc.contributor.authorGRÜNWALD, Thomas
hal.structure.identifierHelmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
dc.contributor.authorHASE, Niklas
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorHELIASZ, Michael
hal.structure.identifierDanmarks Tekniske Universitet = Technical University of Denmark [DTU]
dc.contributor.authorIBROM, Andreas
hal.structure.identifierGeorg-August-University of Göttingen = Georg-August-Universität Göttingen
dc.contributor.authorKNOHL, Alexander
hal.structure.identifierWageningen University and Research [Wageningen] [WUR]
dc.contributor.authorKRUIJT, Bart
hal.structure.identifierNorsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research [NIBIO]
dc.contributor.authorLANGE, Holger
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
dc.contributor.authorLIMOUSIN, Jean-Marc
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLOUSTAU, Denis
hal.structure.identifierGlobal Change Research Centre [CzechGlobe]
dc.contributor.authorLUKEŠ, Petr
hal.structure.identifierUniversità cattolica del Sacro Cuore [Brescia] [Unicatt]
dc.contributor.authorMARZUOLI, Riccardo
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorMÖLDER, Meelis
hal.structure.identifierFree University of Bozen-Bolzano
dc.contributor.authorMONTAGNANI, Leonardo
hal.structure.identifierResearch Institute for Nature and Forest [INBO]
dc.contributor.authorNEIRYNCK, Johan
hal.structure.identifierSwedish University of Agricultural Sciences = Sveriges lantbruksuniversitet [SLU]
dc.contributor.authorPEICHL, Matthias
hal.structure.identifierHelmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
dc.contributor.authorREBMANN, Corinna
hal.structure.identifierForschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre [FZJ]
dc.contributor.authorSCHMIDT, Marius
hal.structure.identifierETSIAM Campus Rabanales
dc.contributor.authorSERRANO, Francisco
hal.structure.identifierEcologie Systématique et Evolution [ESE]
dc.contributor.authorSOUDANI, Kamel
hal.structure.identifierUniversité Catholique de Louvain = Catholic University of Louvain [UCL]
dc.contributor.authorVINCKE, Caroline
hal.structure.identifierTartu Observatory
dc.contributor.authorPISEK, Jan
dc.date.accessioned2024-04-08T11:51:06Z
dc.date.available2024-04-08T11:51:06Z
dc.date.issued2021-05-31
dc.identifier.issn1470-160X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195418
dc.description.abstractEnLeaf area index (LAI) is a key ecological indicator for describing the structure of canopies and for modelling energy exchange between atmosphere and biosphere. While LAI of the forest overstory can be accurately assessed over large spatial scales via remote sensing, LAI of the forest understory (LAIu) is still largely ignored in ecological studies and ecosystem modelling due to the fact that it is often too complex to be destructively sampled or approximated by other site parameters. Additionally, so far only few attempts have been made to retrieve understory LAI via remote sensing, because dense canopies with high LAI are often hindering retrieval algorithms to produce meaningful estimates for understory LAI. Consequently, the forest understory still constitutes a poorly investigated research realm impeding ecological studies to properly account for its contribution to the energy absorption capacity of forest stands. This study aims to compare three conceptually different indirect retrieval methodologies for LAIu over a diverse panel of forest understory types distributed across Europe. For this we carried out near-to-surface measurements of understory reflectance spectra as well as digital surface photography over the extended network of Integrated Carbon Observation System (ICOS) forest ecosystem sites. LAIu was assessed by exploiting the empirical relationship between vegetation cover and light absorption (Beer-Lambert- Bouguer law) as well as by utilizing proposed relationships with two prominent vegetation indices: normalized difference vegetation index (NDVI) and simple ratio (SR). Retrievals from the three methods were significantly correlated with each other (r = 0.63–0.99, RMSE = 0.53–0.72), but exhibited also significant bias depending on the LAI scale. The NDVI based retrieval approach most likely overestimates LAI at productive sites when LAIu > 2, while the simple ratio algorithm overestimates LAIu at sites with sparse understory vegetation and presence of litter or bare soil. The purely empirical method based on the Beer-Lambert law of light absorption seems to offer a good compromise, since it provides reasonable LAIu values at both low and higher LAI ranges. Surprisingly, LAIu variation among sites seems to be largely decoupled from differences in climate and light permeability of the overstory, but significantly increased with vegetation diversity (expressed as species richness) and hence proposes new applications of LAIu in ecological modelling.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enForest background reflectivity
dc.subject.enFractional vegetation cover
dc.subject.enLeaf area index
dc.subject.enNDVI
dc.subject.enSimple ratio
dc.subject.enDiversity
dc.subject.enUnderstory layer
dc.subject.enForest background reflectivity
dc.title.enMethod comparison of indirect assessments of understory leaf area index (LAIu): A case study across the extended network of ICOS forest ecosystem sites in Europe
dc.typeArticle de revue
dc.identifier.doi10.1016/j.ecolind.2021.107841
dc.subject.halSciences de l'environnement
bordeaux.journalEcological Indicators
bordeaux.page1-11
bordeaux.volume128
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03278925
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03278925v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Ecological%20Indicators&rft.date=2021-05-31&rft.volume=128&rft.spage=1-11&rft.epage=1-11&rft.eissn=1470-160X&rft.issn=1470-160X&rft.au=GEORGE,%20Jan-Peter&YANG,%20Wei&KOBAYASHI,%20Hideki&BIERMANN,%20Tobias&CARRARA,%20Arnaud&rft.genre=article


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