This work package will focus on taking the HFM programme from the Burrishoole Ecosystem Observatory together with the new science and developments in the proposed cluster programme up to and beyond 2020, ensuring that this unique living laboratory has a national, regional, and global presence. It will be overseen by Dr Eleanor Jennings together with a dedicated four year postdoctoral researcher/project manager, with a second postdoctoral researcher for a two year contract. During the timeframe of the research cluster, Dr Jennings will also be involved in two major complementary projects, leading the MANTEL Marie Slodoska Curie Innovative Training Programme from 2017-2020 and as partner and Irish lead for the Water JPI project PROGNOS, with MI Newport, from 2016-2019. Both of these European projects also involve MI staff members, making use of HFM data from Burrishoole, and have postgraduate researchers associated with the Newport facility. The work tasks in this work package will be undertaken by the two postdoctoral researchers, who will work closely with MI Newport staff and existing collaborations through GLEON working groups and MANTEL and PROGNOS. Work tasks 1 to 3 involve analysis of high frequency data from the extensive data archives available for Burrishoole, while later WTs couple HFM data to a set of catchment and lake models to provide hindcast simulations to inform and support the eDNA reconstructions that will be undertaken in the sensor development work package.
WT 1 is focused on lake physics, and utilises data analysis tools developed in GLEON and the NETLAKE COST Action, and links into ongoing work in those two research communities. It will include an analysis of heat fluxes into and out of Lough Feeagh using a unique multi-annual data set from the lake thermistor chain, first deployed in 1998, and will contribute to a multi-site comparison of mixing events from sites across Europe that is planned for 2017 led by CEH (UK).
WT 2 also builds on the unique long-term HFM data archives available from Burrishoole and will provide a multi-habitat comparison of aquatic metabolism rates using the diel DO method. Both of these WTs will be undertaken by the entry level postdoctoral researcher who will have experience in data analytics using HFM data from lakes, and in the application of the data analysis tools available through the GLEON network.
WT 3 involves hindcast modelling of a set of physical, chemical and biological metrics which will inform the eDNA work undertaken in th Sensor Development work package. This WT builds on initial hindcast modelling undertaken during the ILLUMINATE project, capitalizing on improvements in available modelling tools and better data availability from existing and new data from the Burrishoole system.