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Detecting patterns of change in benthic habitats by acoustic remote sensing


Rattray, A and Ierodiaconou, D and Monk, J and Versace, VL and Laurenson, LJB, Detecting patterns of change in benthic habitats by acoustic remote sensing, Marine Ecology - Progress Series, 477 pp. 1-13. ISSN 0171-8630 (2013) [Refereed Article]

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Copyright Statement

© 2013 Inter-Research

DOI: doi:10.3354/meps10264


Changes in benthic habitats occur as a result of natural variation or human-induced processes. It is important to understand natural fine-scale inter-annual patterns of change to separate these signals from patterns of long-term change. Describing change from an acoustic remote sensing standpoint has been facilitated by the recent availability of full coverage swath acoustic datasets, but is limited by cost pressures associated with multiple surveys of the same area. We studied the use of landscape transition analysis as a means to differentiate seemingly random patterns of habitat change from systematic signals of habitat transition at a shallow (10 to 50 m depth) 18 km2 site on the temperate Australian continental shelf in 2006 and 2007. Supervised classifications for each year were accomplished using independently collected high-resolution swath acoustic and video reference data. Of the 4 representative biotic classes considered, signals of directional systematic changes occurred between a kelp-dominated class, a sessile invertebrate-dominated class and a mixed class of kelp and sessile invertebrates. We provide a detailed analysis of the components of the traditional change detection cross tabulation matrix, allowing identification of the strongest signals of systematic habitat transitions. Identifying patterns of habitat change is an important first step toward understanding the processes that drive them.

Item Details

Item Type:Refereed Article
Keywords:marine habitat mapping, change detection, multibeam sonar
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Aquaculture and fisheries stock assessment
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine biodiversity
UTAS Author:Monk, J (Dr Jacquomo Monk)
ID Code:99549
Year Published:2013
Web of Science® Times Cited:31
Deposited By:IMAS Research and Education Centre
Deposited On:2015-03-27
Last Modified:2017-11-04

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