Trace Gas Biology and Sensor Technology |
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PhD Opportunity - ARIES DTP Shellfish responses to global environmental change - implications for aquaculture and marine conservation
Dr Michael Steinke, Dr
Tom Cameron, Dr John Woods (University of Essex)
Mr Paul Harding (Colchester Oyster Fishery) Coastal habitats provide important socioeconomic resources, yet they are experiencing unprecedented pressures. Overharvesting, pollution and introduction of invasive species resulted in a major decline of the native oyster that required a shift to the introduced Pacific oyster in commercial aquaculture. Current conservation programmes including ENORI, aim to restore self-sustaining populations of native oysters to increase ecosystem services, sustainable fisheries and biodiversity. This project will address the sustainable expansion of oyster production and native oyster restoration through the application of remote sensing for shellfish spawning, behaviour and survival. You will direct the project's research emphasis and develop scientific hypotheses to assess the ecophysiological diversity of oysters. You will start investigating native and introduced oysters and quantify: 2. The release of reproductive cells in the field and during laboratory incubations. Training You will join the EEM Group to work with marine biologists, electronic engineers and aquaculturists, and receive specific training on field/laboratory experimentation, oyster biology and conservation, electronic sensor networks, and the management of oyster fisheries. This will expose you to diverse disciplines and sectors, gaining professional skills in fieldwork, sensor technology and aquaculture. The ARIES DTP will provide generic training.
Figure 1.
Schematic to illustrate
magnetic valvometry in the functioning of the
Non-invasive Oyster Sensor (NOSy). (A) Photograph
showing the sensor and oyster arrangement during our
field trials with Crassostrea gigas individuals in
2017. (B) A 24 h snapshot of high-resolution sensor
data illustrating the gaping activity and feeding
behaviour in one of the C. gigas individuals during
the field trials in 2017. (C) Assessment of gaping
frequency to identify and monitor spawning via a
change in the frequency of gaping behaviour.
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(c) Michael Steinke 2019 | |||||