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'Addressing the challenges of understanding the movement patterns of aquatic animals and their significance'

Citation

Mundy, CN, 'Addressing the challenges of understanding the movement patterns of aquatic animals and their significance', Joint Conference and Symposium: Australian Society for Fish Biology and Oceania Chondrichthyan Society, 15-18 July 2012, Sebel Playford Hotel, Adelaide, South Australia (2012) [Plenary Presentation]


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Abstract

Australian Abalone Fisheries typically target spatially structured stocks, often in remote areas. The nature of these fishing operations means precise recording of fishery-dependent data is challenging, and fishery independent data collection to determine stock status is cost prohibitive. An electronic data collection system has been developed at the University of Tasmania, using passive GPS and depth/time data loggers to collect high-resolution, high-quality spatial location and effort data from abalone divers. The geo-referenced diver data are used to calculate a range of spatial performance measures for assessing the performance of the fishery at an appropriate spatial scale. Central to the development of these spatial performance measures are analytical methods widely used in animal movement research kernel density functions and path classification to determine home range and animal movement behaviour. The application of these approaches to analysis of fishery data using the R statistical package will be illustrated in relation to these two common animal behaviour questions.

Item Details

Item Type:Plenary Presentation
Keywords:Spatial Management, Spatial Analysis, GPS
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Marine and Estuarine Ecology (incl. Marine Ichthyology)
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Wild Caught
Objective Field:Fisheries - Wild Caught not elsewhere classified
Author:Mundy, CN (Dr Craig Mundy)
ID Code:81134
Year Published:2012
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2012-11-23
Last Modified:2012-11-23
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