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recombination, maintaining genetic linkage of toxin/antitoxin-like systems. As a result, these chromosomes accumulate deleterious mutations that are unaccounted for in existing gene drive models. The student will
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
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substantial intensification of the ocean heat transport, highlighting their climatic influence. However, the dynamics of submesoscale flows, and hence their representation in climate models, have not been
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into rivers to restore natural processes, are increasingly employed to address habitat degradation, biodiversity loss, and flood-risk. This PhD aims to monitor and model the ecological responses of plant and
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sediment–water column model we have been developing in Exeter. With a well calibrated and tested sediment/water-column model, we will then perform idealised experiments focused on a range of proposed blue
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, species distribution modelling, stomach content and dietary isotope analysis, and ecosystem modelling. Useful recruitment links: For information relating to the research project please contact the lead
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statistical and data analysis frameworks are welcomed to be proposed or developed by the candidate as part of the project. We will apply the methodologies to a wide range of data from observations to modelling
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spans animal evolutionary ecology, molecular ecology, and modelling of complex systems, and obtain interdisciplinary training in state-of-the-art approaches and techniques, which are highly south-after by
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modelled using UK-based case studies, selected from a shortlist in Isle of Portland, S Wales, SW England, and the Peak District. The work will be supported by Deep Digital Cornwall at Camborne School
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of their impacts and how to quantify them. There have been attempts to estimate impacts based on empirical approaches (e.g. Bradshaw et al. 2022), while dynamic process-based models are also known