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)
Cite this dataset as:
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
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This dataset is made available under the terms of the Open Government Licence
https://doi.org/10.5285/2f0eae1c-1512-4823-9cbe-cb54f05ee996
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].
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
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2016-01-01 to 2100-01-01
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.
For ingestion into the Environmental Information Data Centre data was converted from Excel spreadsheets to comma separated files.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
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
© UK Centre for Ecology & Hydrology
Related
This dataset is included in the following collections
Supplemental information
Correspondence/contact details
Authors
Elliott, J.A.
Centre for Ecology & Hydrology
Ryves, D.B.
Loughborough University
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/L002493/1
Last updated
27 February 2024 16:28