Detection of acoustic class boundaries in soft sediment systems using the seafloor acoustic discrimination system QTC VIEW

Abstract

Transition zones (or ‘ecotones’) are ecologically important spatial elements of subtidal landscapes that represent a mixture of different habitat elements. We provide a method for identifying such areas in broad-scale surveys of the seafloor using the acoustic discrimination system QTC VIEW. QTC VIEW is an acoustic processing system that assigns sonar ping stacks to clusters of like points, to identify different habitats on the seafloor. Paired QTC VIEW transects (∼20m spacing) were run at intervals of 200m, at two separate sampling locations, to assess the consistency of clustering of individual ping stacks into acoustic classes. Very consistent spatial patterns of class change were found between transect pairs, suggesting high stability in the classification process. QTC VIEW assigns confidence values to each individual record; running averages calculated using a moving window along transects showed drops in confidence values associated with areas of transition in habitat class assignment, but this was not always consistent. The Berger–Parker index, a class dominance statistic, provided a more consistent transition indicator. Class transition ranged from abrupt to gradual, along with areas where a mixture of acoustic classes occurred. However, acoustically detected transition zones did not consistently respond to visual observations of the sea floor.