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Improving marine habitat mapping using high-resolution acoustic data; a predictive habitat map for the Firth of Lorn, Scotland

科研成果: Article同行评审

28 引用 (Scopus)
261 下载量 (Pure)

摘要

Habitat mapping is an important tool for marine spatial planning, enabling anand is required for most ecosystem-based management approaches to be adopted. The Firth of Lorn Special Area of Conservation (SAC), west Scotland, was originally designated for its rocky reef habitat but. iIt is also an area of high importance for the Flapper skate (Dipturus intermedius) and Harbour porpoise (Phocoena phocoena). Here we present a predictive habitat map for part of the area that improves on the previous predictive habitat map created for the SAC consultation by, utilising multibeam backscatter and bathymetry data collected as part of the Ireland, Northern Ireland and Scotland Hydrographic Survey Project, that . improves on the previous predictive habitat map created for the SAC consultation. Backscatter, bathymetry and benthic bathymetric derivatives were analysed using Principal Component Analysis (PCA) and acoustic signatures were created from biotope drop-down video habitat location data from drop-down video surveys. A predictive habitat map was created from Maximum Likelihood Classification using the PCA. Dominant habitat types identified included; moderate energy circalittoral rock (CR.MCR), sublittoral mixed sediment (SS.SMx) and sublittoral sand and muddy sand (SS.SSa). Drop down video showed variable accuracy with 0 to 100% correctly classified biotopes habitats due to the small sample size. The initial Vvalidation points were added and the model was rerun. In areas with no previous ground truthsea truthing points, some of the predicted output changed with the dominant habitat predictions changeding to SS.SMx at depths >100m and SS.SSa in depths <50m, suggesting that the model accuracy can be improved with a greater depth-range of ground truthsea truthing data . ModernBroad scale acoustic surveys undertaken for other reasons, such as navigational charting, can thus be used to generate Ppredictive habitat maps in a which are cost and time effective manner. Such mapssuch as this have the potential for a wide range of scale use by marine stakeholders, in particular, for establishing environmental baselines for long term monitoring ofto prevent negative impacts on benthic habitatsecosystems. Given the high costs of surveying, sSuch an approach supportsing the rationaleapproach of “Collect once and use many times”.
源语言English
页(从-至)39-47
页数9
期刊Continental Shelf Research
168
早期在线日期14 9月 2018
DOI
出版状态E-pub ahead of print - 14 9月 2018

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. Life below water
    Life below water

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