Project Description
Supervisors
Professor Ralph Fyfe, Geography, Earth and Environmental Sciences (SoGEES), University of Plymouth – contact me
Dr Jessie Woodbridge, University of Plymouth, SoGEES
Professor Stephen Shennan, University College London, Institute of Archaeology
Scientific background
The recovery of nature is a pressing global issue. Nature recovery is difficult to predict, and different recovery strategies are implemented from tree planting to diverse forms of rewilding. Across Europe, humans transformed the vegetation of the continent through forest clearance for agriculture over millennia [1,2]. However, within that long-term transformation, multiple major population collapses occurred, in prehistory and the historic period. These collapses offer unparalleled opportunities as ‘long term’ experiments to understand natural nature recovery: reductions in population and land use pressure should result in ecological change [3]. This PhD project will develop detailed long-term data using palaeoecology and archaeology to assess past ecological recovery, using pandemics as disrupters to past human systems.
Research methodology
The project will focus on two time periods: the early Neolithic, and the medieval Black Death. The first has been characterised by “boom-and-bust” cycles of population growth and collapse [5], likely driven by plague [4]. The Black Death removed up to 50% of the population of Europe, with different impacts across the continent [3]. This project will therefore provide a critical assessment of how ecosystems adapted and responded to associated reductions in land-use pressure, focussing on recovery and resilience (do systems return to pre-existing conditions or states?), temporality (what sort of timescales do systems change or regenerate over) and stability (can, or do, systems reach equilibrium states?). The project will analyse the nature of pre-pandemic land use and economic/ecological systems, drawing on the archaeological/historical literature, to understand how landscape preconditioning influences recovery.
Training
The supervisory team will provide training in pollen analysis, multivariate statistics, and demographic modelling using archaeological radiocarbon dates. You will attend training courses on vegetation, climatic and modelling. You will learn to use a range of programmatic approaches to integrate and analyse diverse datasets. The project will involve analyses of existing databases, and training will be provided in working with open palaeoecological and archaeological data.
Person specification
We seek an enthusiastic individual with a 2:1 degree grade or above within Geography, Environmental Science, archaeological science or related disciplines. Experience of palaeoecology, long-term ecology or environmental archaeology is desirable.
Acceptable first degree subjects: Geography, Environmental Science, Archaeology, and related disciplines.