Contributors: Commission of the European Communities; Imperial College London; Université libre de Bruxelles (ULB); Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB); University of Exeter; Macquarie University; Tsinghua University [Beijing] (THU); Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA); Institut de recherche en informatique de Toulouse (IRIT); Université Toulouse 1 Capitole (UT1); Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3); Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1); Université Fédérale Toulouse Midi-Pyrénées; PRODEX TROVA of the European Space Agency and ALBERI (SR/00/373) funded by the Belgian Science Policy Office (2016–2019); OCTAVE (BR/175/A2/OCTAVE) of the Belgian Research Action through Interdisciplinary Networks (BRAIN-be) research programme (2017–2021); FP7 QA4ECV project (grant agreement no: 607405); BELSPO through the project ‘Global impacts of hydrological and climatic extremes on vegetation’ (SAT-EX, SR/00/306), which is part of the Belgian research programme for Earth Observation Stereo III. I.C.P.; European Project: 787203,REALM; European Project: 787203,H2020-EU.1.1.,H2020-EU.1.1.,REALM(2018); Tsinghua University Beijing (THU); Université Toulouse Capitole (UT Capitole); Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J); Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI); Université Toulouse - Jean Jaurès (UT2J); Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole); Université de Toulouse (UT)
نبذة مختصرة : Accurate monitoring of vegetation stress is required for better modelling and forecasting of primary production, in a world where heatwaves and droughts are expected to become increasingly prevalent. Variability in formaldehyde (HCHO) concentrations in the troposphere is dominated by local emissions of short-lived biogenic (BVOC) and pyrogenic volatile organic compounds. BVOCs are emitted by plants in a rapid protective response to abiotic stress, mediated by the energetic status of leaves (the excess of reducing power when photosynthetic light and dark reactions are decoupled, as occurs when stomata close in response to water stress). Emissions also increase exponentially with leaf temperature. New analytical methods for the detection of spatiotemporally contiguous extremes in remote-sensing data are applied here to satellite-derived atmospheric HCHO columns. BVOC emissions are shown to play a central role in the formation of the largest positive HCHO anomalies. Although vegetation stress can be captured by various remotely sensed quantities, spaceborne HCHO emerges as the most consistent recorder of vegetation responses to the largest climate extremes, especially in forested regions.
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