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    Marine ecosystem acoustics (MEA): quantifying processes in the sea at the spatio-temporal scales on which they occur

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    Номер документа:
    O.R. Godø, N.O. Handegard, H.I. Browman, G.J. Macaulay, S. Kaartvedt, J. Giske, E. Ona, G. Huse and E. Johnsen
    Представлено (имя):
    Dr Olav Rune Godø (Норвегия)
    Пункт(ы) повестки дня
    ICES J. Mar. Sci., 2014, 71 (8): 2357–2369

    Antarctic ecosystems are dynamic and characterized by physically forced variability caused e.g. by fronts, eddies and ice. This creates a challenging dynamics for scientific sampling and monitoring. Realistic understanding of what can and cannot be achieved with the available sampling techniques and strategies is essential. This paper focuses on approaches for observing processes at the time-space scales at which they occur, which is essential for some of the management challenges of CCAMLR, for example the FBM.  

    Sustainable management of fisheries resources requires quantitative knowledge and understanding of species distribution, abundance, and productivity-determining processes. Conventional sampling by physical capture is inconsistent with the spatial and temporal scales on which many of these processes occur. In contrast, acoustic observations can be obtained on spatial scales from centimetres to ocean basins, and temporal scales from seconds to seasons. The concept of marine ecosystem acoustics (MEA) is founded on the basic capability of acoustics to detect, classify, and quantify organisms and biological and physical heterogeneities in the water column. Acoustics observations integrate operational technologies, platforms, and models and can generate information by taxon at the relevant scales. The gaps between single-species assessment and ecosystem-based management, as well as between fisheries oceanography and ecology, are thereby bridged. The MEA concept combines state-of the-art acoustic technology with advanced operational capabilities and tailored modelling integrated into a flexible tool for ecosystem research and monitoring. Case studies are presented to illustrate application of the MEA concept in quantification of biophysical coupling, patchiness of organisms, predator–prey interactions, and fish stock recruitment processes. Widespread implementation of MEA will have a large impact on marine monitoring and assessment practices and it is to be hoped that they also promote and facilitate interaction among disciplines within the marine sciences.