Geomorphological characteristics, percentage cover of live coral, mound and live coral delineation and predictive map of likelihood of live coral at the Mingulay Reef Complex coral ...

The data provided here were derived using a new ArcGIS-based British Geological Survey (BGS) seabed mapping toolbox that semi-automatically delineated over 500 Lophelia reef 'minimounds' from bathymetry data of the Mingulay Reef Complex. The morphometric and acoustic characteristics of the...

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Bibliographic Details
Main Authors: De Clippele, Laurence Helene, Gafeira, Joanna, Robert, Katleen, Hennige, Sebastian, Lavaleye, Marc, Duineveld, Gerard C A, Huvenne, Veerle A I, Roberts, J Murray
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Cold-water coral mounds
geomorphological characteristics
Lophelia pertusa
Predictive modelling
Random forest classification
LONGITUDE
LATITUDE
Area
Perimeter
Bathymetric positioning index
Minimum bounding geometry box
Depth, top/min
Depth, bottom/max
DEPTH, water
Vertical relief
Rugosity
Backscatter
Slope
Speed, velocity
Corals, cover
Coral
Remote operated vehicle
Online Access:https://dx.doi.org/10.1594/pangaea.909237
https://doi.pangaea.de/10.1594/PANGAEA.909237
Description
Summary:The data provided here were derived using a new ArcGIS-based British Geological Survey (BGS) seabed mapping toolbox that semi-automatically delineated over 500 Lophelia reef 'minimounds' from bathymetry data of the Mingulay Reef Complex. The morphometric and acoustic characteristics of the minimounds were also automatically quantified and captured using this toolbox. Coral presence data were derived from high-definition remotely operated vehicle (ROV) records and high-resolution microbathymetry collected by a ROVmounted multibeam echosounder. With a resolution of 0.35 9 0.35 m, the microbathymetry covers 0.6 km2 in the centre of the study area and allowed identification of individual live coral colonies in acoustic data for the first time. Maximum water depth, maximum rugosity, mean rugosity, bathymetric positioning index and maximum current speed were identified as the environmental variables that contributed most to the prediction of live coral presence. These variables were used to create a predictive map ... : Supplement to: De Clippele, Laurence Helene; Gafeira, Joanna; Robert, Katleen; Hennige, Sebastian; Duineveld, Gerard C A; Huvenne, Veerle A I; Roberts, J Murray (2017): Using novel acoustic and visual mapping tools to predict the small-scale spatial distribution of live biogenic reef framework in cold-water coral habitats. Coral Reefs, 36(1), 255-268 ...

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