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  • 1
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    Projecting changes in the distribution and productivity of living marine resources: A critical review of the suite of modelling approaches used in the large European project VECTORS (2018)
    Elsevier
    In:  Estuarine, Coastal and Shelf Science, 201 . pp. 40-55.
    Details
    Publication Date: 2021-02-08
    Description: We review and compare four broad categories of spatially-explicit modelling approaches currently used to understand and project changes in the distribution and productivity of living marine resources including: 1) statistical species distribution models, 2) physiology-based, biophysical models of single life stages or the whole life cycle of species, 3) food web models, and 4) end-to-end models. Single pressures are rare and, in the future, models must be able to examine multiple factors affecting living marine resources such as interactions between: i) climate-driven changes in temperature regimes and acidification, ii) reductions in water quality due to eutrophication, iii) the introduction of alien invasive species, and/or iv) (over-)exploitation by fisheries. Statistical (correlative) approaches can be used to detect historical patterns which may not be relevant in the future. Advancing predictive capacity of changes in distribution and productivity of living marine resources requires explicit modelling of biological and physical mechanisms. New formulations are needed which (depending on the question) will need to strive for more realism in ecophysiology and behaviour of individuals, life history strategies of species, as well as trophodynamic interactions occurring at different spatial scales. Coupling existing models (e.g. physical, biological, economic) is one avenue that has proven successful. However, fundamental advancements are needed to address key issues such as the adaptive capacity of species/groups and ecosystems. The continued development of end-to-end models (e.g., physics to fish to human sectors) will be critical if we hope to assess how multiple pressures may interact to cause changes in living marine resources including the ecological and economic costs and trade-offs of different spatial management strategies. Given the strengths and weaknesses of the various types of models reviewed here, confidence in projections of changes in the distribution and productivity of living marine resources will be increased by assessing model structural uncertainty through biological ensemble modelling.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1016/j.ecss.2016.05.019
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 2
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    Mesozooplankton sample data from R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05 in the Northern Gulf of Mexico from 2003-2008 (2018)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: Pump mesozooplankton samples
    Description: CTD casts using a high-capacity, diaphragm pump were conducted during the R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, and PE09-05 in the Northern Gulf of Mexico between 2003 and 2008. Plankton samples were collected from discrete depths during the CTD casts. Subsamples of sample contents were manually counted, identified, and measured in the laboratory. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/746107
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1043261, NSF Division of Ocean Sciences (NSF OCE) OCE-1043248, NSF Division of Ocean Sciences (NSF OCE) OCE-1043249, National Oceanic and Atmospheric Administration (NOAA) NA06NOS4780148, National Oceanic and Atmospheric Administration (NOAA) NA09NOS4780198, Gulf Research Program of the National Academies of Sciences, Engineering, and Medicine (GRP) NAS-GRP-2000006418
    Keywords: Gulf of Mexico ; Mesozooplankton ; Distribution ; Hypoxia
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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    PAPER (OA)
  • 3
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    ScanFish Optical Plankton Counter (OPC) data from R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05, and PE11-06 in the Northern Gulf of Mexico between 2003 and 2010 (2018)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: ScanFish OPC
    Description: An optical plankton counter (OPC) and CTD mounted to a ScanFish platform were towed and undulated behind the R/V Pelican during cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05, and PE11-06 in the Northern Gulf of Mexico between 2003 and 2010. CTD and MIDAS data were synchronized and merged with simultaneously collected OPC data and aggregated into 1 second time bins. Bottom depth was obtained from the NOAA NCEI coastal relief model. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/746081
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1043261, NSF Division of Ocean Sciences (NSF OCE) OCE-1043248, NSF Division of Ocean Sciences (NSF OCE) OCE-1043249, National Oceanic and Atmospheric Administration (NOAA) NA06NOS4780148, National Oceanic and Atmospheric Administration (NOAA) NA09NOS4780198, Gulf Research Program of the National Academies of Sciences, Engineering, and Medicine (GRP) NAS-GRP-2000006418
    Keywords: Gulf of Mexico ; Mesozooplankton ; Distribution ; Hypoxia
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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    PAPER (OA)
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