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  • 1
    Publication Date: 2023-12-16
    Description: Cryptogamic organisms such as bryophytes and lichens cover most surfaces within tropical forests, yet their impact on the emission of biogenic volatile organic compounds is unknown. These compounds can strongly influence atmospheric oxidant levels as well as secondary organic aerosol concentrations, and forest canopy leaves have been considered the dominant source of these emissions. Here we present cuvette flux measurements, made in the Amazon rainforest between 2016–2018, and show that common bryophytes emit large quantities of highly reactive sesquiterpenoids and that widespread lichens strongly uptake atmospheric oxidation products. A spatial upscaling approach revealed that cryptogamic organisms emit sesquiterpenoids in quantities comparable to current canopy attributed estimates, and take up atmospheric oxidation products at rates comparable to hydroxyl radical chemistry. We conclude that cryptogamic organisms play an important and hitherto overlooked role in atmospheric chemistry above and within tropical rainforests.
    Description: Cryptogamic organisms such as bryophytes and lichens contribute substantially to emissions of secondary organic aerosol precursors as well as to the uptake of atmospheric oxidation products over the Amazon rainforest, suggest measurements at a remote Amazon rainforest site.
    Description: Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) https://doi.org/10.13039/501100002347
    Description: https://doi.org/10.17871/atto.232.15.860
    Keywords: ddc:577.3 ; Atmospheric chemistry ; Biogeochemistry ; Plant sciences
    Language: English
    Type: doc-type:article
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  • 2
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    PANGAEA
    In:  Supplement to: Weiss, Gabriella M; Pfannerstill, Eva Y; Schouten, Stefan; Sinninghe Damsté, Jaap S; van der Meer, Marcel T J (2017): Effects of alkalinity and salinity at low and high light intensity on hydrogen isotope fractionation of long-chain alkenones produced by Emiliania huxleyi. Biogeosciences, 14(24), 5693-5704, https://doi.org/10.5194/bg-14-5693-2017
    Publication Date: 2024-07-19
    Description: Over the last decade, hydrogen isotopes of long-chain alkenones have been shown to be a promising proxy for reconstructing paleo sea surface salinity due to a strong hydrogen isotope fractionation response to salinity across different environmental conditions. However, to date, the decoupling of the effects of alkalinity and salinity, parameters that co-vary in the surface ocean, on hydrogen isotope fractionation of alkenones has not been assessed. Furthermore, as the alkenone-producing haptophyte, Emiliania huxleyi, is known to grow in large blooms under high light intensities, the effect of salinity on hydrogen isotope fractionation under these high irradiances is important to constrain before using dDC37 to reconstruct paleosalinity. Batch cultures of the marine haptophyte E. huxleyi strain CCMP 1516 were grown to investigate the hydrogen isotope fractionation response to salinity at high light intensity and independently assess the effects of salinity and alkalinity under low light conditions. Our results suggest that alkalinity does not significantly influence hydrogen isotope fractionation of alkenones, but salinity does have a strong effect. Additionally, no significant difference was observed between the fractionation responses to salinity recorded in alkenones grown under both high and low light conditions. Comparison with previous studies suggests that the fractionation response to salinity in culture is similar under different environmental conditions, strengthening the use of hydrogen isotope fractionation as a paleosalinity proxy.
    Keywords: Alkalinity, total; Fractionation factor; Fractionation factor, error; Growth rate; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; pH; Radiation, photosynthetically active; Salinity; Species; Strain; Temperature, water; δ Deuterium, alkenone, C37; δ Deuterium, alkenone, C37, standard deviation; δ Deuterium, standard deviation; δ Deuterium, water
    Type: dataset
    Format: text/tab-separated-values, 628 data points
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