The Davies Reef Wireless Sensor Network was deployed in early 2009 and while it suffered some damage in 2011 from Cyclone Yasi, damage was minor.
The network consists of five floats that use the Australian Institute of Marine Science (AIMS) Tower as a base station. The floats measure temperature and salinity and form a cross-reef transect as well as having one float further up the reef. The design looks to again understand the influence of ocean water on the lagoon of the reef and to link ocean processes to localised in-lagoonal patterns. Of key interest is temperature given that coral bleaching was observed at Davies Reef previously. As this location has a long historical record from the AIMS tower it was important to gain an understanding of the relationship between ocean and reef waters and to use this to back-cast conditions from the tower records.
An underwater camera and light sensors were trialled near the AIMS Tower from 2011 to 2013; archival images can be viewed here. The light sensors were set up as two sensors, one metre apart in depth, to allow for measurements of water clarity and absorption.
The following sensors have been deployed at Davies Reef:
To download a pdf copy of the table below for Davies Reef click here.
|Platform||Type||Sensor Type||Sensor Model||Depth (LAT)|
|Base-station (tower)||Tower||Above water Light (PAR)||LiCor LI-192||12m Height|
The wireless sensor networks are supported by the Island Research Stations under the Tropical Marine Network (TMN) banner. Partners include the University of Queensland which run the Heron Island Research Station, the University of Sydney which run the One Tree Island Research Station, James Cook University which run the Orpheus Island Research Station and the Australian Museum that run the Lizard Island Research Station.
The Facility had significant initial funding from the Queensland State Government via the Department of Science, Information Technology and Innovation.
The Facility also was a partner in the ARC Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) project.