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

Autor: Wei Yang, Jan Pisek, Corinna Rebmann, Jan-Peter George, Andreas Ibrom, Silvano Fares, Francisco Ramón López Serrano, Caroline Vincke, Giacomo Gerosa, Michael Heliasz, Thomas Grünwald, Holger Lange, Jean-Marc Limousin, Meelis Mölder, Bart Kruijt, Johannes Neirynck, A. Carrara, Hideki Kobayashi, Matthias Cuntz, Matthias Peichl, Kamel Soudani, Denis Loustau, Leonardo Montagnani, Marius Schmidt, Niklas Hase, Petr Lukes, Edoardo Cremonese, Riccardo Marzuoli, Tobias Biermann, Alexander Knohl
Přispěvatelé: Tartu Observatory, Chiba University, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Lund University [Lund], Fundacion CEAM, Universidad de Alicante, Aosta Valley Regional Environmental Protection Agency (ARPA), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Consiglio Nazionale delle Ricerche [Roma] (CNR), Università cattolica del Sacro Cuore [Brescia] (Unicatt), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Technical University of Denmark [Lyngby] (DTU), University of Göttingen - Georg-August-Universität Göttingen, Wageningen University and Research [Wageningen] (WUR), Norwegian Institute of Bioeconomy Research (NIBIO), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Global Change Research Institute, Czech Academy of Sciences [Prague] (CAS), Free University of Bozen-Bolzano, Research Institute for Nature and Forest (INBO), Swedish University of Agricultural Sciences (SLU), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, ETSIAM Campus Rabanales, Universidad de Cordoba, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain = Catholic University of Louvain (UCL), This study was supported from Estonian Research Council Grant PUT1355 and Mobilitas Pluss MOBERC11. Field campaign at Brasschaat site was funded by the Transnational Access scheme of eLTER (Horizon 2020 project grant agreement no. 654359)., UCL - SST/ELI/ELIE - Environmental Sciences, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Georg-August-University = Georg-August-Universität Göttingen, Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Global Change Research Centre (CzechGlobe), Universidad de Córdoba = University of Córdoba [Córdoba], University of Tartu, ARPA VALLE D'AOSTA SAINT CHRISTOPHE ITA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), CNR – National Research Council, Rome, Università cattolica del Sacro Cuore [Milano] (Unicatt), Université de Goettingen, Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Institute of Microbiology of the Czech Academy of Sciences [Prague, Czech Republic] (MBU / CAS), Universidad de Castilla-La Mancha (UCLM)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
0106 biological sciences
Evolution
NDVI
General Decision Sciences
Understory layer
010501 environmental sciences
Fjernmåling
Atmospheric sciences
010603 evolutionary biology
01 natural sciences
Normalized Difference Vegetation Index
Behavior and Systematics
Settore BIO/07 - ECOLOGIA
Forest ecology
SDG 13 - Climate Action
Simple ratio
ddc:630
Ecosystem
Leaf area index
Settore FIS/06 - FISICA PER IL SISTEMA TERRA E IL MEZZO CIRCUMTERRESTRE
Ecology
Evolution
Behavior and Systematics
QH540-549.5
0105 earth and related environmental sciences
Diversity
WIMEK
Ecology
Fractional vegetation cover
Earth-monitoring satellites
Biosphere
Understory
Vegetation
15. Life on land
Remote sensing
Ecological indicator
[SDE]Environmental Sciences
Environmental science
Water Systems and Global Change
Jordobservasjon fra satellitter
Forest background reflectivity
Zdroj: Ecological Indicators, Vol 128, Iss, Pp 107841-(2021)
Ecological Indicators
Ecological Indicators, Elsevier, 2021, 128, pp.1-11. ⟨10.1016/j.ecolind.2021.107841⟩
Ecological Indicators 128 (2021)
George, J P, Yang, W, Kobayashi, H, Biermann, T, Carrara, A, Cremonese, E, Cuntz, M, Fares, S, Gerosa, G, Grünwald, T, Hase, N, Heliasz, M, Ibrom, A, Knohl, A, Kruijt, B, Lange, H, Limousin, J M, Loustau, D, Lukeš, P, Marzuoli, R, Mölder, M, Montagnani, L, Neirynck, J, Peichl, M, Rebmann, C, Schmidt, M, Serrano, F R L, Soudani, K, Vincke, C & Pisek, J 2021, ' Method comparison of indirect assessments of understory leaf area index (LAI u ) : A case study across the extended network of ICOS forest ecosystem sites in Europe ', Ecological Indicators, vol. 128, 107841 . https://doi.org/10.1016/j.ecolind.2021.107841
Ecological Indicators, Vol. 128, no.107841 (2021)
Ecological Indicators, 2021, 128, pp.1-11. ⟨10.1016/j.ecolind.2021.107841⟩
Ecological Indicators, 128
Ecological indicators 128 (2021): Article number 107841. doi:10.1016/j.ecolind.2021.107841
info:cnr-pdr/source/autori:George J.-P.; Yang W.; Kobayashi H.; Biermann T.; Carrara A.; Cremonese E.; Cuntz M.; Fares S.; Gerosa G.; Grunwald T.; Hase N.; Heliasz M.; Ibrom A.; Knohl A.; Kruijt B.; Lange H.; Limousin J.-M.; Loustau D.; Lukes P.; Marzuoli R.; Molder M.; Montagnani L.; Neirynck J.; Peichl M.; Rebmann C.; Schmidt M.; Serrano F.R.L.; Soudani K.; Vincke C.; Pisek J./titolo: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/doi:10.1016%2Fj.ecolind.2021.107841/rivista:Ecological indicators/anno:2021/pagina_da:Article number 107841/pagina_a:/intervallo_pagine:Article number 107841/volume:128
Ecological indicators 128, 107841 (2021). doi:10.1016/j.ecolind.2021.107841
Ecological Indicators, Elsevier, 2021, 128, pp.107841. ⟨10.1016/j.ecolind.2021.107841⟩
ISSN: 1470-160X
Popis: Leaf 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.
Databáze: OpenAIRE
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