Project Description
Supervisors
Dr Joan Alfaro-Lucas, School of Biological and Marine Sciences, University of Plymouth – contact me
Professor Tracy Aze, School of Biological and Marine Sciences, University of Plymouth
Dr Lissette Victorero, Deep Sea Conservation Coalition
Dr Michelle Harris, School of Geography, Earth and Environmental Sciences, University of Plymouth

Scientific Background
The potential exploitation of deep-sea mineral resources is creating an urgent need for scientifically robust approaches to the conservation of planet’s most remote, remarkable ecosystems, including hydrothermal vents. Vents harbour highly distinct, endemic and vulnerable animal communities patchily distributed along ocean ridges with contrasting geological, physical and geochemical characteristics. Yet identifying representative networks of habitats for protection requires understanding how species and ecological functions change among habitats, and which habitats make unique contributions to biodiversity.
The contrasting environments of ocean ridges provide a powerful global system for investigating the poorly understood patterns and processes driving species and functional diversity change (β-diversity) among scattered habitats in the deep sea, allowing these key knowledge gaps to be addressed.
The central hypothesis of this project is that the distinct attributes of the world’s ocean ridges drive different patterns of species and functional β-diversity in hydrothermal vent ecosystems. Testing this hypothesis will reveal why vent communities become different across space and environmental gradients and provide the evidence to identify representative and complementary habitats for conservation.
Research Methodology
You will analyse an unpublished global database of vent species and their traits compiled by the supervisory team. You will apply state-of-the-art statistical modelling, including distance-decay and joint species distribution models, to test whether geological, physical and geochemical differences among ocean ridges explain contrasting biodiversity patterns and evaluate the relative roles of dispersal limitation and ecological niche sorting. Finally, you will quantify the distinctiveness of vent habitats to identify habitats that contribute the most to species and functional diversity, providing evidence to spatial conservation priorities.
Training
You will join a collaborative, multidisciplinary team of deep-sea scientists and develop expertise in (deep-sea) macroecology; global biodiversity database synthesis and curation; species and functional β-diversity analyses and advanced statistical modelling. This data- and analysis-driven training will develop advanced quantitative and transferable skills relevant to careers across academia and industry.
Person Specification
We seek a perseverant, methodical and enthusiastic individual with a BSc degree in Biology or a related field. An interest in macroecology and strong quantitative analysis skills in R are essential.
Acceptable first degree subject(s): BSc degree in Biology or a related field