Project Description
Supervisors
Dr Martin Wilkes, School of Life Sciences, University of Essex
Dr Jennifer Dodd, Edinburgh Napier University
Dr James White, University of Birmingham
Dr Eoin O’Gorman, University of Essex
Scientific Background
The Global Biodiversity Framework places freshwaters at the heart of plans to bend the curve of biodiversity loss. In the UK, legally binding species abundance targets require governments to reverse declines within the next 20 years. One-quarter of species contributing towards these targets are riverine, placing emphasis on understanding drivers of biodiversity loss and recovery in rivers.
Environmental change will frustrate attempts to stem freshwater biodiversity loss. UK rivers are rapidly warming, whilst extreme flood and drought risks are intensifying. Nutrient enrichment, sanitary water quality and heavy metal pollution remain significant stressors, yet a range of emerging contaminants pose new threats to freshwater life.
With river ecosystems changing so rapidly, the past is an increasingly poor guide to the future. Scientists, policy makers and conservation managers need to look ahead at future challenges, allowing them to legislate for, plan and deliver conservation actions that are resilient to uncertain environmental changes.
Research Methodology
Through physical and statistical modelling combined with quantitative meta-analysis and stakeholder engagement, you will develop new socioeconomic and climatic scenarios to understand the likely trajectories of UK river ecosystems through the 21st century. You will engage stakeholders to develop qualitative scenarios, construct models to simulate hydrological, thermal and water quality regimes under those scenarios, and ultimately predict the response of river biodiversity to the end of the century.
Training
You will gain significant technical skills in hydrological, thermal, water quality and biodiversity modelling, as well as expertise in research design, academic writing, stakeholder engagement, data management, statistical programming, and high-performance computing. Practical training on freshwater species conservation biology and biodiversity policy will be provided by project partners Buglife and Defra.
Person Specification
We seek an individual with a quantitative background and an interest in freshwater systems. Experience in statistical programming and environmental modelling is desirable. The ideal candidate will have strong analytical and communication skills, with an enthusiasm for interdisciplinary research addressing real-world conservation challenges.
Acceptable first degree subjects: Ecology, Physical Geography, Environmental Management, Environmental Science
Project code: WILKES_ESSEX_ARIES26_CASE
All ARIES CASE studentships include a three to 18-month placement with the non-academic CASE partner during their period of study. The placement offers experience designed to enhance professional development.