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function and develop science-based advice in fisheries management to prevent significant adverse impacts. This project will combine seafloor visual surveys, targeted sampling and AI-assisted image analyses
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and the potential effects of this method of fishing on scallop stocks, other species and the wider ecosystem. Through analysis of existing data, aquarium and field-based experiments, and modelling
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diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly
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microporosity vary across the granites, how is this impacted by mineralogy and macroscopic structures, and how can we scale lab-based measurements of porosity with field observations? The answers
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position in a ‘landscape of fear’. Objective 3: Develop spatially explicit models to predict how nest footprints combine to generate landscape-level variation in microclimate, carbon flux, and plant
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-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training
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biodiversity. However, current plankton monitoring is insufficient, limiting our ability to detect biodiversity shifts, model ocean responses to climate stressors, and inform effective conservation policies
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? The solution requires the design and fabrication of doped, Fe-based nanoparticles with tightly constrained physico-chemical properties that enhance biouptake. The physical removal of nanoparticle-algae
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degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in
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support enzyme-nanomaterial interaction studies. Based within the University of Plymouth’s Sustainable Chemistry and Catalysis Group, the student will receive interdisciplinary training in catalysis, enzyme