About this project
The THYME project brings together the bioeconomy expertise of the Universities of Teesside, Hull and York, to find research solutions to decrease our reliance on non-renewable energy resources and drive innovation in the way we manage land assets. Our region has the potential to become world leading in securing food, water and energy whilst adapting to the challenges of climate change.
The Energy and Environment Institute at the University of Hull is offering funded PhD scholarships as part of the THYME project to work with academic research leaders across the University to focus on the following priority areas within the bioeconomy.
Linking landscape processes and bioeconomies through translation of pollen archives
Our ability to work with the landscape and maximise the benefits derived from natural processes depends on being able to predict the behaviour of complex systems over long time periods using computer models. The reliability of these models as predictors of the future comes largely from testing and calibrating them against good data for past situations, but historical data (e.g. old maps) is often incomplete or lacking detail. Long-term records of past environments are preserved in pollen records in sedimentary archives, but these need to be translated into maps or other data formats which are appropriate for use as model inputs, as well as for direct use e.g. defining reasonable baselines for system functioning, better appreciation of system vulnerability and thresholds, and to interrogate both models of the future and social constructions of the past in ways which enhance landscape management and the bioeconomy. Land cover is critical for many other landscape processes such as carbon fluxes, albedo, and flood storage capacity.
This project will firstly develop a new generation of software designed to reconstruct past land cover from pollen records using the Multiple Scenario Approach, developed in Hull. Secondly, the project will focus on applying the software to reconstruct the historical development of the regional landscape using mostly existing data to investigate questions relating to how the region might wish to develop landscape to enhance flood resilience, food & energy security or carbon capture for example, to support regional adaption and resilience to climate change.
Please contact Dr Jane Bunting if you have any questions.