DROPLET

Disentangling the impact of multiple stressors on the ecology of waterbodies

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Project Metadata ElementDetails
  Project Title Disentangling the impact of multiple stressors on the ecology of waterbodies
Research Area EPA Water Pillar: Understanding, Managing and Conserving our Water Resources
Project Acronym
  Principal Investigator or Lead Irish Partner Yvonne McElarney
  Lead Institution or Organisation Agri-Food & Biosciences Institute (AFBI)
 Lead Country Ireland
 Latitude, Longitude (of Lead Institution) 54.59783862043117,-5.827367305755615
  Lead Funding Entity Environmental Protection Agency
  Approximate Project Start Date 01/02/2016
  Approximate Project Finishing Date 01/02/2020
  Project Website (if any)
  Links to other Web-based resources
 Project Keywords Freshwater; Rivers; Lakes; Stressors; Sensors; Targeted management of resources
  Project Abstract This research will provide vital evidence regarding the influence of stressors impacting both freshwater rivers and lakes. We will collate data in addition to collecting new information, where relevant and possible, to create an Assessment Framework that will help managers identify the main constraints on individual water bodies. The Assessment Framework will be based on novel use of the most appropriate statistical modelling methods developed in close association with EPA scientists and managers. Using this approach we will disentangle the effects of the most influential stressors on freshwater bodies in Ireland. The legacy of this project will include:

An Assessment Framework that will be co-produced with EPA scientists to fully meet their needs regarding the identification of stressors and their interaction and impacts on water bodies. Impacts of this Framework will include better, more targeted management of freshwaters. It is envisaged that the Assessment Framework will be flexible and will have the capacity to be updated on the basis of new information collected through monitoring.

A series of models resulting from individual work packages that can be used as stand alone models, for example, a model will be produced that will predict the time of recovery of lakes based on nutrients bound in lake sediments.

At least 4 peer reviewed scientific publications that will be accessible through research databases and research portals such as Research Gate.

A final report will be produced detailing the technical work that was completed as part of the project.