Abstract

In coastal temperate environments, many processes known to affect the exchange of particulate and dissolved matter between the seafloor and the water column follow cyclical patterns of intra-annual variation. This study assesses the extent to which these individual short term temporal variations affect specific direct drivers of seafloor-water exchanges, how they interact with one another throughout the year, and what the resulting seasonal variation in the direction and magnitude of benthic-pelagic exchange is. Existing data from a multidisciplinary long-term time-series from the Western Channel Observatory, United Kingdom, were combined with new experimental and in situ data collected throughout a full seasonal cycle. These data, in combination with and contextualized by time-series data, were used to define an average year, split into five ‘periods’ (winter, pre-bloom, bloom, post-bloom, and autumn) based around the known importance of pelagic primary production and hydrodynamically active phases of the year. Multivariate analyses were used to identify specific sub-sets of parameters that described the various direct drivers of seafloor-water exchanges. Both dissolved and particulate exchange showed three distinct periods of significant flux during the year, although the specific timings of these periods and the cause-effect relationships to the direct and indirect drivers differed between the two types of flux. Dissolved matter exchange was dominated by an upward flux in the pre-bloom period driven by diffusion, then a biologically induced upward flux during the bloom and an autumn downward flux. The latter was attributable to the interactions of hydrodynamic and biological activity on the seafloor. Particulate matter exchanges exhibited a strongly hydrologically influenced upward flux during the winter, followed by a biologically induced downward flux during the bloom and a second period of downward flux throughout post-bloom and autumn periods. This was driven primarily through interactions between biological activity, and physical and meteorological drivers. The integrated, holistic and quantitative data-based analysis of intra-annual variability in benthic/pelagic fluxes presented in this study in a representative temperate coastal environment, demonstrates not only the various process’ inter-connectivity, but also their relative importance to each other. Future investigations or modeling efforts of similar systems will benefit greatly from the relationships and baseline rules established in this study.

Highlights

  • The marine ecosystem can perhaps be considered the most interconnected ecosystem on Earth

  • Because we could not practically assess all types of particulate matter (PM) and dissolved matter (DM) exchange, and given the differences between B/P exchange pathways of DM and PM, we focus first on a specific type of DM, dissolved inorganic nitrite (DIN), and on a specific type of PM, particulate organic carbon (POC), as examples individually

  • The potential of shear-stress driven DIN flux measured in the flume experiment shows that this is intra-annually variable (ANOSIM, R = 0.608, p = 0.005; see Supplementary Appendix 4, test 3), as was already indicated by OPLS model

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Summary

Introduction

The marine ecosystem can perhaps be considered the most interconnected ecosystem on Earth. There is a constant movement and flux of materials through the exchange of living organisms as well as the complex production, transformation and transport of particulate and dissolved matter throughout the system Many of these connections are vital to the overall functioning of the marine ecosystem. SPM at the time of in situ core collection was measured by filtering, drying and ashing 10 l of water collected via a Rosette sampler from 0 m, 10 m, 20 m, 30 m, 40 m, 50 m depth, and water from 54 m (bottom water) was collected from multicorer deployments (four perspex tubes of 80 cm length and 10 cm diameter which capture the nepheloid layer immediately above the sediment surface) These water samples were processed in the same way as the flume water. Each sample was measured three times to ensure that all size fractions present in the sediment were represented in the output

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