Project Description
Supervisors
Professor Kerry Howell, Plymouth Marine Laboratory
Dr Angela Stevenson, School of Biological and Marine Sciences, University of Plymouth
Ms Heidi Tillin, Plymouth Marine Laboratory
Dr Ana Hilario, University of Aveiro, Portugal
Scientific Background
Vulnerable Marine Ecosystems (VMEs), such as deep-sea coral gardens and sponge fields, are biodiversity hotspots that deliver critical ecosystem services through their complex structures. However, they face increasing threats from fishing, resource extraction, and climate change. Functional diversity -the range of ecological roles species fulfil within a community – is central to ecosystem resilience, but remains poorly understood in VMEs. Quantifying VME functional 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 supporting international policy goals for deep-sea biodiversity protection.
Research Methodology
This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to:
- Define and quantify functional traits of VME taxa.
- Identify key functional groups, map functional diversity, and compare to taxonomic diversity.
- Develop indicators of ecosystem health and resilience across different VME types.
- Build predictive spatial models for VME distribution and resilience under future climate scenarios.
Training
The candidate will gain skills in:
- Deep-sea survey techniques using remotely operated and autonomous underwater vehicles
- Image annotation, including AI-based approaches.
- Functional trait analysis, taxonomic identification of deep-sea benthos, biodiversity metrics; and spatial predictive modelling.
Professional development will include research cruises, collaboration with international scientific presentations, and co-authorship of additional non-PhD publications. This training will prepare the candidate for careers in academia, environmental consultancy, conservation, and resource management.
Person Specification
We seek a motivated candidate with strong analytical skills, and interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training will be provided. A willingness to join multi-week ship-based fieldwork is welcomed but not required.
Acceptable first degree subjects: Marine Ecology, Marine Biology, Zoology, Biological Oceanography, Environmental Science, Data Science, Environmental Informatics, or similar.
Project code: HOWELL_PML_ARIES26