Investigating the controls on surface ocean dimethyl sulphide concentrations at regional to global scales

Miles, Christopher James (2012) Investigating the controls on surface ocean dimethyl sulphide concentrations at regional to global scales. Doctoral thesis, University of East Anglia.

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    Abstract

    This thesis details a series of investigations into the controls on surface ocean
    concentrations of the climatically relevant, biogenic sulphur compound, dimethyl
    sulphide (DMS) at regional to global scales. The primary focus is upon the role of
    solar irradiance and metrics of biological activity in modulating DMS concentrations
    using bivariate and multivariate statistical techniques in conjunction with three
    different data sets from multiple spatial and temporal scales.
    Firstly, a statistical investigation into the proposed strong positive relationship
    between surface DMS concentration and the average mixed layer irradiance (solar
    radiation dose: SRD) was undertaken using DMS data from a series of cruise tracks
    from the Atlantic Meridional Transect (AMT) programme, primarily from the
    oligotrophic Atlantic gyres. Positive correlations were found between DMS and (a)
    SRD formulations using concurrently sampled in situ data (ρ=0.55 n=65 p<0.01), (b)
    SRD formulations based on using climatological data (ρ=0.74 n=65 p<0.01) and (c)
    a ultraviolet radiation dose (ρ= 0.67 n=54 p<0.01).
    The next analysis investigated whether the inclusion of a biological variable
    (chlorophyll or primary production) alongside irradiance could explain additional
    variance in DMS concentrations. This analysis employed a database of cruise data
    from a range of biogeochemical domains, latitudes and trophic conditions (AMT, the
    Barents Sea, the Atmospheric Chemistry Studies in the Oceanic Environment
    (ACSOE) research campaign and the DImethyl Sulphide biogeochemistry within a
    COccolithophore bloom (DISCO) study. Using multiple linear regression (MLR)
    analyses, it was found that the combination of, in situ rate of primary production and
    underwater irradiance accounted for significant variance in DMS concentrations in
    data from discrete depths within the euphotic zone (R2 = 0.55), from near-surface
    waters (R2 = 0.66) and within depth profile integrated data (R2 = 0.40).
    The final analysis is an investigation into global surface DMS dynamics using the
    global surface seawater DMS database (http://saga.pmel.noaa.gov/dms/) and satellite
    based retrievals of irradiance and primary production rates. A novel composite
    approach which combines multiple MLR models applied to Longhurst biogeochemical provinces, and using monthly averaged data, explained maximum
    variance. Models developed within a randomly selected training subset were able to
    explain significant variance within the remaining validation subset using this
    composite approach (predicted vs. observed ρ = 0.93, p = 0, n = 107). Previous
    studies had been unable to identify a strong link between DMS and indicators of the
    biological community (e.g. chlorophyll) at large scales. Our results suggest that a
    link exists between ecosystem productivity and DMS concentrations, and moderated
    by processes directly influenced by solar irradiance. These findings on large scale
    ecosystem controls on DMS, based on remote-sensing datasets, provide an
    advancement in the understanding and prediction of global-scale surface DMS
    concentrations.

    Item Type: Thesis (Doctoral)
    Faculty \ School: Faculty of Science > School of Environmental Sciences
    Depositing User: Brian Watkins
    Date Deposited: 22 Aug 2013 15:31
    Last Modified: 22 Aug 2013 15:31
    URI: https://ueaeprints.uea.ac.uk/id/eprint/43162
    DOI:

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