Imperial College London Featured PhD Programmes
University of Dundee Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
University College London Featured PhD Programmes
Cardiff University Featured PhD Programmes

Go with the flow: integrating hydraulic models with eDNA based species detection

  • Full or part time
  • Application Deadline
    Monday, January 06, 2020
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Biodiversity estimates of fish communities for environmental monitoring and research have traditionally been obtained with survey methods, which are invasive, selective, expensive, and may be highly affected by weather and hydrodynamic constraints. Recent advances in molecular methods now provide the opportunity to generate biodiversity data on an unprecedented scale through DNA-barcoding organisms from environmental (water/sediment) samples (eDNA). eDNA sampling is a non-selective approach that enables reconstruction of entire biological communities in a cost-effective, non-invasive manner. Evidence from recent independent studies now shows that eDNA based methods provide higher probabilities for detecting fish species than traditional methods, and under certain circumstance indicate the relative abundance of species within a community. Such methods are already used by DEFRA to monitor lake fish communities, based on research developed at the University of Hull.

Aquatic eDNA degrades rapidly, with a half-life of 12-24 hours, and therefore in the absence of strong currents there is limited dispersal. Hence there is a relatively straightforward relationship between eDNA and fish distribution in lentic environments, such as lakes, ponds or reservoirs. However, in hydrologically dynamic environments such as rivers, estuaries and marine habitats the spatial interpretation of eDNA is complicated by advection by the flow, which also may change depending on location within the water column. Thus environmental flows may limit the spatial resolution of eDNA surveys and currently preclude quantitative reconstruction of local fish communities. Although the nature of eDNA is not fully understood it is believed that it is largely bound to sediment particles and organic matter. Therefore, a step change in environmental monitoring capability will be achieved by coupling hydraulic sediment transport models with probabilistic models of eDNA decay.

Funding Notes

Eligible for funding under the NERC Panorama DTP (stipend and UK/EU fees for 3.5 years)

View Website

1) Contact the supervisor of your chosen project to register your interest. Please note that you can only apply for 1 project within the DTP.

2) Apply online - View Website

The programme code is ‘NERC PANORAMA DTP’. Section 10 request information about the research area - you should input the title of the project that you wish to be considered for and the supervisors’ names.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.