Date (Publication)

2014-04-30

Date (Creation)

2010-01-01

Identifier

CEH:EIDC: / 1386846758703

Identifier

https://catalogue.ceh.ac.uk/id/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

Identifier

doi: / 10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

Other citation details

Laize, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Florke, M., Hannah, D.M. (2014). Ecological risk due to river flow alteration under climate and socioeconomic change scenarios. NERC Environmental Information Data Centre 10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

Maintenance and update frequency

unknown Unknown

Maintenance note

not planned

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities
• Habitats and Biotopes
• Land Use
• Bio-geographical Regions

Access constraints

otherRestrictions Other restrictions

Other constraints

Registration is required to access this data

Use constraints

otherRestrictions Other restrictions

Other constraints

Licence terms and conditions apply

Use constraints

otherRestrictions Other restrictions

Other constraints

CEH, Centre for Environmental Systems Research and the University of Birmingham must be acknowledged in all resultant publications

Use constraints

otherRestrictions Other restrictions

Other constraints

If you use this dataset you must acknowledge the following resource: Laize, C.L.R.; Acreman, M.C.; Schneider, C.; Dunbar, M.J.; Houghton-Carr, H.A.; Florke, M.; Hannah, D.M.. 2013 Projected flow alteration and ecological risk for pan-European rivers. River Research and Applications.

Use constraints

otherRestrictions Other restrictions

Other constraints

If you reuse this data, you should cite: Laize, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Florke, M., Hannah, D.M. (2014). Ecological risk due to river flow alteration under climate and socioeconomic change scenarios. NERC Environmental Information Data Centre https://doi.org/10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

Spatial representation type

textTable Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Inland waters

Begin date

1961-01-01

End date

2050-12-31

Unique resource identifier

WGS 84

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

Statement

The river network was modelled as 33,668 cells (5° longitude; 5°latitude). For each cell, modelled monthly flows were generated for an ensemble of 10 scenarios for the 2050s and for the study baseline (naturalized flows for 1961-1990). These future scenarios consist of combinations of two climate scenarios and four socio-economic water-use scenarios (with a main driver of economy, policy, security or sustainability). Environmental flow implications are assessed using the new Ecological Risk due to Flow Alteration (ERFA) methodology, based on a set of monthly flow regime indicators (MFRIs). Differences in MFRIs between scenarios and baseline are calculated to derive ERFA classes (no, low, medium and high risk), which are based on the number of indicators significantly different from the baseline. ERFA classes are presented as colour-coded pan-European maps. Observed historical climate data for the reference period 1961-1990 were collated from the Climate Research Unit (University of East Anglia, UK). Projected future climate data for the period 2040-2069 (i.e. 2050s) were taken from two Global Circulation Models (GCMs): (i) IPSL-CM4, Institut Pierre Simon Laplace, France (IPCM4 thereafter); and (ii) MIROC3.2, Center for Climate System Research, University of Tokyo, Japan (MIMR thereafter). These two GCMs were chosen after comparing nine GCMs from the IPCC Fourth Assessment (IPCC, 2007); they were considered representative of the variability between GCMs (Bärlund, 2010). For both GCMs, the IPCC SRES A2 emission scenario (IPCC, 2007) was selected. In total, 11 sets of modelled monthly flow series were generated using different combinations of climate data inputs and socio-economic scenarios. Naturalized flows for 1961-1990 were generated by running WaterGAP with the hydrological component only (i.e. no water usage) and the historical climate data from CRU as input.

File identifier

d8ef71eb-3d22-4f98-af15-9d8e046ccb63 XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-03-21T13:24:08

Metadata standard name

UK GEMINI

Metadata standard version

2.3