Radbourne, A.D.; Elliott, J.A.; Maberly, S.C.; Ryves, D.B.; Anderson, N.J.

Potential future scenarios of nutrient and climate change using the model PROTECH at Rostherne Mere, Cheshire, UK (2016-2100)

This dataset includes the PROTECH validation output against a yearlong monitoring study conducted during 2016 in the lake and catchment of Rostherne Mere and the PROTECH output files following changes in internal and external nutrient loads and future climate scenarios based on the UK Climate Projections (UKCP09) data. These data were collected to demonstrate the future possible trajectories of change with alterations in air temperature, internal nutrient loads and external nutrient loads. Validation data is presented as daily model outputs, while all future projection data is presented as collated annual average model output data for each future change scenario.

The PROTECH model (Phytoplankton RespOnses To Environmental CHange) simulates the in situ dynamics of phytoplankton in lakes and reservoirs, specialising in predicting phytoplankton species, particularly Cyanobacteria (blue-green algae)

The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1].

Publication date: 2018-08-09

Get the data

Format of the dataset : Comma-separated values (CSV)

Access and use conditions

This resource is embargoed and will be made available by 1 July 2019 at the latest  

This resource will be available under the terms of the Open Government Licence

You must cite: Radbourne, A.D.; Elliott, J.A.; Maberly, S.C.; Ryves, D.B.; Anderson, N.J. (2018). Potential future scenarios of nutrient and climate change using the model PROTECH at Rostherne Mere, Cheshire, UK (2016-2100). NERC Environmental Information Data Centre. https://doi.org/10.5285/2f0eae1c-1512-4823-9cbe-cb54f05ee996

 

© Natural Environment Research Council

© Loughborough University

© Centre for Ecology & Hydrology

Where/When

Study area
Temporal extent
2016-01-01    to    2100-01-01

Supplemental information

Other useful information regarding this dataset:

Provenance & quality

Between January 2016 and January 2017, water samples from the lake (surface and at depth) and catchment were collected approximately every three weeks for analysis of phosphorus, nitrogen, silicate and phytoplankton concentrations. Furthermore, inflow and outflow discharge rates were calculated for conversion of nutrient concentrations into total loads. PROTECH simulates the responses of a number of phytoplankton populations distributed in a 1 dimensional vertical water column at daily time steps, but also calculates key physical limnological parameters such as thermocline development, stratification pattern and nutrient concentrations. The model was run and compared to the observed data recorded from the lake during 2016 to first validate to model, then to re-run the calibrated 2016 simulation as a baseline with progressive changes to air temperature and nutrient load. The data was collated to Excel spreadsheets held by the lead author at Loughborough University.

For ingestion into the Environmental Information Data Centre data was converted from Excel spreadsheets to comma separated files.

Correspondence/contact details

Alan Radbourne
Loughborough University
a.d.radbourne@lboro.ac.uk

Authors

Radbourne, A.D.
Loughborough University
Elliott, J.A.
Centre for Ecology & Hydrology
Maberly, S.C.
Centre for Ecology & Hydrology
Ryves, D.B.
Loughborough University
Anderson, N.J.
Loughborough University

Other contacts

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Spatial

Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 longitude-latitude (CRS:84)

Tags

Topic categories
Environment
INSPIRE Theme
Environmental Monitoring Facilities
Keywords
air temperature,  Climate,  flushing,  management,  Modelling,  PROTECH model,  Rostherne Mere,  stratification