Article (Scientific journals)
Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown.
Tang, Angela Che Ing; Flechard, Christophe R; Arriga, Nicola et al.
2023In Science of the Total Environment, 903, p. 166149
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Keywords :
Aerosol optical depth; Air quality; COVID-19; Eddy covariance; Gross primary production; Shortwave irradiance; Aerosol optical depths; Detection and attributions; Ecosystem functioning; Ecosystem levels; Environmental factors; Management practises; Terrestrial ecosystems; Environmental Engineering; Environmental Chemistry; Waste Management and Disposal; Pollution
Abstract :
[en] Carbon dioxide (CO2) uptake by plant photosynthesis, referred to as gross primary production (GPP) at the ecosystem level, is sensitive to environmental factors, including pollutant exposure, pollutant uptake, and changes in the scattering of solar shortwave irradiance (SWin) - the energy source for photosynthesis. The 2020 spring lockdown due to COVID-19 resulted in improved air quality and atmospheric transparency, providing a unique opportunity to assess the impact of air pollutants on terrestrial ecosystem functioning. However, detecting these effects can be challenging as GPP is influenced by other meteorological drivers and management practices. Based on data collected from 44 European ecosystem-scale CO2 flux monitoring stations, we observed significant changes in spring GPP at 34 sites during 2020 compared to 2015-2019. Among these, 14 sites showed an increase in GPP associated with higher SWin, 10 sites had lower GPP linked to atmospheric and soil dryness, and seven sites were subjected to management practices. The remaining three sites exhibited varying dynamics, with one experiencing colder and rainier weather resulting in lower GPP, and two showing higher GPP associated with earlier spring melts. Analysis using the regional atmospheric chemical transport model (LOTOS-EUROS) indicated that the ozone (O3) concentration remained relatively unchanged at the research sites, making it unlikely that O3 exposure was the dominant factor driving the primary production anomaly. In contrast, SWin increased by 9.4 % at 36 sites, suggesting enhanced GPP possibly due to reduced aerosol optical depth and cloudiness. Our findings indicate that air pollution and cloudiness may weaken the terrestrial carbon sink by up to 16 %. Accurate and continuous ground-based observations are crucial for detecting and attributing subtle changes in terrestrial ecosystem functioning in response to environmental and anthropogenic drivers.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Tang, Angela Che Ing;  ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, France, Department of Environmental Sciences, University of Toledo, Toledo, OH, USA. Electronic address: tang.angelaci@gmail.com
Flechard, Christophe R;  UMR SAS, INRAE, Institut Agro, Rennes, France
Arriga, Nicola;  Joint Research Centre, European Commission, Ispra, Italy
Papale, Dario;  University of Tuscia DIBAF, Viterbo, Italy, EuroMediterranean Center on Climate Change, CMCC IAFES, Viterbo, Italy
Stoy, Paul C;  Department of Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA
Buchmann, Nina;  Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
Cuntz, Matthias;  Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, France
Douros, John;  Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands
Fares, Silvano;  National Research Council of Italy, Institute for Agriculture and Forestry Systems in the Mediterranean, Naples, Italy
Knohl, Alexander;  Bioclimatology, University of Göttingen, Göttingen, Germany
Šigut, Ladislav;  Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic
Simioni, Guillaume;  URFM, INRAE, Avignon, France
Timmermans, Renske;  Climate Air and Sustainability Unit, Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, The Netherlands
Grünwald, Thomas;  Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, Germany
Ibrom, Andreas;  Technical University of Denmark (DTU), DTU-Sustain, Kgs. Lyngby, Denmark
Loubet, Benjamin;  UMR ECOSYS, AgroParisTech, INRAE, Université Paris-Saclay, Thiverval-Grignon, France
Mammarella, Ivan;  Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Belelli Marchesini, Luca;  Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
Nilsson, Mats;  Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Peichl, Matthias;  Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Rebmann, Corinna;  Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
Schmidt, Marius;  Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich Research Centre, Jülich, Germany
Bernhofer, Christian;  Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, Germany
Berveiller, Daniel;  Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, France
Cremonese, Edoardo;  Environmental Protection Agency of Aosta Valley - Climate Change Unit, Saint-Christophe, Italy
El-Madany, Tarek S;  Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany
Gharun, Mana;  Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland, Faculty of Geosciences, University of Münster, Münster, Germany
Gianelle, Damiano;  Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
Hörtnagl, Lukas;  Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
Roland, Marilyn;  Department of Biology, University of Antwerp, Wilrijk, Belgium
Varlagin, Andrej;  A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
Fu, Zheng;  Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Heinesch, Bernard  ;  Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE)
Janssens, Ivan;  Department of Biology, University of Antwerp, Wilrijk, Belgium
Kowalska, Natalia;  Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic
Dušek, Jiří;  Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic
Gerosa, Giacomo;  Università Cattolica del Sacro Cuore, Brescia, Italy
Mölder, Meelis;  Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Tuittila, Eeva-Stiina;  School of Forest Sciences, University of Eastern Finland, Joensuu, Finland
Loustau, Denis;  ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, France
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Language :
English
Title :
Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown.
Publication date :
10 December 2023
Journal title :
Science of the Total Environment
ISSN :
0048-9697
eISSN :
1879-1026
Publisher :
Elsevier B.V., Netherlands
Volume :
903
Pages :
166149
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Funding text :
We acknowledge the utilization of eddy covariance data obtained and shared by the ICOS research infrastructure and site investigators. The processing and harmonization of the eddy covariance data were conducted by the ICOS Ecosystem Thematic Centre. ACI Tang was funded by the Department of Ecology and Biodiversity ( ECODIV ) of INRAE. We also acknowledge the support provided by INRAE for the execution of this study. We thank Tom Taborski for his assistance in downloading and processing the CAMS radiation data. DP thanks the support of the PRIN 2020 MULTIFOR project (prot. 2020E52THS). Lastly, we would like to pay tribute to the late Werner Eugster for his invaluable contributions.We acknowledge the utilization of eddy covariance data obtained and shared by the ICOS research infrastructure and site investigators. The processing and harmonization of the eddy covariance data were conducted by the ICOS Ecosystem Thematic Centre. ACI Tang was funded by the Department of Ecology and Biodiversity (ECODIV) of INRAE. We also acknowledge the support provided by INRAE for the execution of this study. We thank Tom Taborski for his assistance in downloading and processing the CAMS radiation data. DP thanks the support of the PRIN 2020 MULTIFOR project (prot. 2020E52THS). Lastly, we would like to pay tribute to the late Werner Eugster for his invaluable contributions.
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