Library Open Repository

Monitoring of Benthic Reference Sites

Downloads

Downloads per month over past year

Williams, SB and Pizarro, OR and Jakuba, MV and Johnson, CR and Barrett, NS and Babcock, RC and Kendrick, GA and Steinberg, PD and Heyward, AJ and Doherty, PJ and Mahon, I and Johnson-Roberson, M and Steinberg, D and Friedman, A (2012) Monitoring of Benthic Reference Sites. IEEE Robotics & Automation Magazine. pp. 73-84. ISSN 1070-9932

[img] PDF
Johnson,_Craig_...pdf | Request a copy
Full text restricted
Available under University of Tasmania Standard License.

Abstract

We have established an Australia-wide observation program that exhibits recent developments in autonomous underwater vehicle(AUV) systems to deliver precisely navigated time series benthic imagery at selected reference stations on Australia’s continental shelf. These observations are designed to help characterize changes in benthic assemblage composition and cover derived from precisely registered
maps collected at regular intervals. This information will provide researchers with the baseline ecological data necessary to make quantitative inferences about the
long-term effects of climate change and human activities on the benthos. Incorporating a suite of observations that capitalize on the unique capabilities of AUVs into Australia’s integrated marine observation system (IMOS)
[1] is providing a critical link between oceanographic and
benthic processes. IMOS is a nationally coordinated program
designed to establish and maintain the research infrastructure required to support Australia’s marine science research. It has, and will maintain, a strategic focus on the impact of major boundary currents on continental shelf environments, ecosystems, and biodiversity. The IMOS AUV facility observation program is designed to generate physical and biological observations of benthic variables that cannot be cost effectively obtained by other means.

Item Type: Article
Journal or Publication Title: IEEE Robotics & Automation Magazine
Page Range: pp. 73-84
ISSN: 1070-9932
Identification Number - DOI: 10.1109/MRA.2011.2181772
Additional Information:

Copyright 2012 IEEE

Date Deposited: 19 Mar 2013 00:58
Last Modified: 18 Nov 2014 04:49
Related URLs:
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page