Vegetation responses to climate extremes recorded by remotely sensed atmospheric formaldehyde

Catherine Morfopoulos*, Jean-François Müller, Trissevgeni Stavrakou, Maite Bauwens, Isabelle De Smedt, Pierre Friedlingstein, Iain Colin Prentice, Pierre Regnier

*Corresponding author for this work

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    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1809-1822
    Number of pages14
    JournalGlobal Change Biology
    Volume28
    Issue number5
    DOIs
    Publication statusPublished - Mar 2022

    Bibliographical note

    Copyright © 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • atmospheric remote sensing
    • climate extremes
    • formaldehyde
    • photosynthesis
    • stress
    • vegetation
    • volatile organic compounds

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