TY - JOUR
T1 - Evaluating differences in marine spatial data resolution and robustness: A North Sea case study
AU - Posen, Paulette E.
AU - Hyder, Kieran
AU - Teixeira Alves, Mickael
AU - Taylor, Nick G. H.
AU - Lynam, Christopher P.
N1 - Funding Information: This work was supported by the INSITE programme ( [email protected] ) and was conducted under the Cefas COSM and EcoConnect projects (Cefas project codes C6236 and C6498). Information contained here has been derived from data made available under the European Marine Observation Data Network (EMODnet) Seabed Habitats project ( http://www.emodnet-seabedhabitats.eu/ ), funded by the European Commission's Directorate-General for Maritime Affairs and Fisheries (DG MARE). Wreck data for the North Sea were obtained from The Wreck Site ( http://wrecksite.eu/ ) by request from Jan Lettens. Joop Coolen, Wageningen University and Research, is thanked for supplying non-UK buoy data for the North Sea. Mary Brown (Cefas) is thanked for her assistance in preparing the wind turbine data.
Author contributions: K.H. and C.L. led the work; K.H., C.L. and P.P. designed the research and methodology; P.P. sourced, processed and analysed the spatial data; M.T.A. and N.T. performed the statistical analyses; all authors contributed to manuscript drafts and gave final approval for publication.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Seabed substrates have the capacity to support a variety of marine communities. However, habitats provided by natural substrates are increasingly modified and supplemented by man-made structures. These provide hard surfaces suitable for colonisation by sedentary and/or non-migratory organisms, and may contribute to an interconnected system of benefit to diverse marine populations. Robust assessment of the influence of such structures is, therefore, a necessary consideration for their long-term management. The challenge of compiling and manipulating data for input to two North Sea models is described. Source data were processed and gridded at three different spatial resolutions to investigate the effect of scale on spatial relationships. Choice of grid size was found to exacerbate existing uncertainty in location and extent of features, influencing interpretation of their spatial distributions at the different scales examined. The small spatial footprint of man-made structures, compared with natural substrates, may lead to underestimation of the influence of the former at coarser model scales. Choices must be made between data availability, spatial resolution and accuracy, modelling and analysis requirements, to identify robust approaches to reliable outcomes. Model sensitivity and uncertainty analyses are recommended for application in data-limited situations. Greater openness and cooperation in data-sharing is required for robust scientific modelling to underpin decision-making in the marine environment.
AB - Seabed substrates have the capacity to support a variety of marine communities. However, habitats provided by natural substrates are increasingly modified and supplemented by man-made structures. These provide hard surfaces suitable for colonisation by sedentary and/or non-migratory organisms, and may contribute to an interconnected system of benefit to diverse marine populations. Robust assessment of the influence of such structures is, therefore, a necessary consideration for their long-term management. The challenge of compiling and manipulating data for input to two North Sea models is described. Source data were processed and gridded at three different spatial resolutions to investigate the effect of scale on spatial relationships. Choice of grid size was found to exacerbate existing uncertainty in location and extent of features, influencing interpretation of their spatial distributions at the different scales examined. The small spatial footprint of man-made structures, compared with natural substrates, may lead to underestimation of the influence of the former at coarser model scales. Choices must be made between data availability, spatial resolution and accuracy, modelling and analysis requirements, to identify robust approaches to reliable outcomes. Model sensitivity and uncertainty analyses are recommended for application in data-limited situations. Greater openness and cooperation in data-sharing is required for robust scientific modelling to underpin decision-making in the marine environment.
KW - Man-made structure
KW - Marine
KW - Natural substrate
KW - North Sea
KW - Spatial data
UR - http://www.scopus.com/inward/record.url?scp=85083757857&partnerID=8YFLogxK
U2 - 10.1016/j.ocecoaman.2020.105206
DO - 10.1016/j.ocecoaman.2020.105206
M3 - Article
AN - SCOPUS:85083757857
VL - 192
JO - Ocean and Coastal Management
JF - Ocean and Coastal Management
SN - 0964-5691
M1 - 105206
ER -