Predictions of river temperature and sensitivity to climate change in Scotland
These layers are the outputs of research which developed a national river temperature model for Scotland capable of predicting both daily maximum river temperature and sensitivity to climate change. The layers show the following:
summer_max_tw_2015_16 – Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016.
summer_max_tw_2003 – Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003).
summer_climate_change_sensitivity – Predictions of the change in river temperature that would result from a 1°C increase in air temperature.
A fourth layer has been developed to combine the outputs from “summer_max_tw_2003” and “summer_climate_change_sensitivity” into a single layer that can be used to prioritise management where the relative importance of maximum temperature and temperature change are considered to be equal. This was achieved by (1) dividing the predictions of ‘summer_max_tw_2003’ and ‘summer_climate_change_sensitivity’ into 5 equal categories between the minimum and maximum observed values (2) assigning these categories a value ranging from 1 (the hottest / most sensitive rivers) to 5 (the coolest / least sensitive rivers) (3) sum the rankings (-1) to produce an overall priority ranking (1:9) where rivers ranked as 1 are the highest priority for management (i.e. high river temperature and high climate sensitivity) and 9 the lowest.
Management_Priority_Layer – Management priority on a scale of 1:9 where 1 is the highest priority (i.e. high river temperature and high climate sensitivity) and 9 the lowest.
* Please Note * This layer was derived by the Scottish Government from a licensed dataset. It is not downloadable or routinely available.
The data can be shared on request if a user provides evidence that they hold a licence from the UK Centre for Ecology and Hydrology (UKCEH) for the 1:50,000 Digital River Network ( https://www.ceh.ac.uk/data/15000-watercourse-network)
Default
- Date ()
- 2017-10-23
- Identifier
-
Marine_Scotland_FishDAC_1997
Scottish Government
-Marine Directorate
Mailpoint 11, Area 1B South, Victoria Quay
,Edinburgh
,EH6 6QQ
,United Kingdom
Scottish Government
-Marine Directorate
Mailpoint 11, Area 1B South, Victoria Quay
,Edinburgh
,EH6 6QQ
,United Kingdom
Scottish Government
-Marine Directorate
Mailpoint 11, Area 1B South, Victoria Quay
,Edinburgh
,EH6 6QQ
,United Kingdom
Scottish Government
-Scotland River Temperature Monitoring Network Team
Freshwater Laboratory, Faskally
,PITLOCHRY
,PH165LB
,United Kingdom
- Maintenance and update frequency
- Not Planned
- Keywords
- SeaDatanet Parameter Disciplines
-
-
Environment
-
Fisheries and aquaculture
-
- GEMET - INSPIRE themes, version 1.0 ()
-
-
Hydrography
-
- Use constraints
-
Predictions are plotted on CEH Rivers dataset which is held under license so the underlying dataset cannot be available for download.
Where the predictions are used, reference must be made to the original publication: Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C.P., and Malcolm, I. A. (2018) A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. Science of The Total Environment., 612, 1543-1558.
- Use constraints
-
The following copyright and acknowledgement should be placed on all copies of information or images derived from the licensed CEH river network data: ‘© Scottish Government (Marine Scotland) [Year]. Based on digital spatial data licensed from the Centre for Ecology & Hydrology, © NERC (CEH)' (preceded if appropriate by 'Some features of this map are'). And: 'Contains Ordnance Survey data © Crown copyright and database right [year]'.
The following citation must be included in the reference list of any reports or publications in which the licensed CEH river network data, or derived data, have been used. ‘Moore RV, Morris DG and Flavin RW, 1994. Sub-set of UK digital 1:50,000 scale river centre-line network. NERC, Institute of Hydrology, Wallingford.’
- Access constraints
- otherRestrictions
- Other constraints
-
public access limited according to Article 13(1)(e) of the INSPIRE Directive
- Distance
- 50 http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources/uom/gmxUom.xml#m
- Metadata language
- eng (en)
- Topic category
-
- Environment
- Inland waters
- Geographic identifier
-
The entire body of water between the bed and the atmosphere.
- Date ()
- 2010-01-01
- Begin date
- 2015-07-01
- End date
- 2016-06-30
- Reference system identifier
-
OGP
/urn:ogc:def:crs:EPSG::27700
- Distribution format
-
-
ESRI Shapefile
(1.0
)
-
- OnLine resource
-
SRTMN - Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016
(
WWW:LINK-1.0-http--link
)View summer_max_tw_2015_16 on Marine Scotland Maps portal
- OnLine resource
-
SRTMN - Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003)
(
WWW:LINK-1.0-http-link
)View summer_max_tw_2003 on Marine Scotland Maps portal
- OnLine resource
-
SRTMN - Predictions of the change in river temperature that would result from a 1°C increase in air temperature
(
WWW:LINK-1.0-http--link
)View summer_climate_change_sensitivity on Marine Scotland Maps portal
- OnLine resource
-
SRTMN_summer_climate_change_sensitivity
(
OGC:WMS-1.3.0-http-get-capabilities
)SRTMN - Predictions of the change in river temperature that would result from a 1°C increase in air temperature (hidden when zoomed in past 1:50
- OnLine resource
-
SRTMN_summer_max_water_temp_2003
(
OGC:WMS-1.3.0-http-get-capabilities
)SRTMN - Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003) (hidden when zoomed in past 1:50
- OnLine resource
-
SRTMN_summer_max_water_temp_2015_16
(
OGC:WMS-1.3.0-http-get-capabilities
)SRTMN - Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016 (hidden when zoomed in past 1:50
- OnLine resource
-
SRTMN - Management priority on a scale of 1:9 where 1 is highest priority (i.e. high river temperature and high climate sensitivity) and 9 is lowest (hidden when zoomed in past 1:5,000)
(
WWW:LINK-1.0-http--link
)View SRTMN_Management_priority_layer on Marine Scotland Maps portal
- OnLine resource
-
SRTMN_Management_priority_layer
(
OGC:WMS-1.3.0-http-get-capabilities
)SRTMN - Management priority on a scale of 1:9 where 1 is highest priority (i.e. high river temperature and high climate sensitivity) and 9 is lowest (hidden when zoomed in past 1:5
- Scope
- dataset
- Statement
-
River temperature data were obtained from the Scotland River Temperature Monitoring Network (SRTMN: http://www.gov.scot/Topics/marine/Salmon-Trout-Coarse/Freshwater/Monitoring/temperature). SRTMN is a strategically designed and quality controlled monitoring network being delivered by MSS-FFL in collaboration with local rivers and fisheries trusts and boards.
The daily maximum river temperature model for Scotland allows current and future river temperatures and sensitivity to climate change to be predicted from; the day of the year (DoY), air temperature on that day, location in the country (region/hydrometric area), location on the river network and the characteristics of the river (elevation, bankside woodland and channel orientation). The predictions can be used to identify areas which may benefit from management action such as native tree planting to reduce maximum temperatures. This information should be combined with an understanding of the processes controlling the effectiveness of riparian shading to make decisions on the precise locations for planting ( http://www.gov.scot/Topics/marine/Publications/TopicSheets/tslist/treeplant)
The details of the model and predictions can be found in: Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C.P., and Malcolm, I. A. (2018) A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. Science of The Total Environment., 612, 1543-1558.
Metadata
- Metadata language
- eng (en)
- Resource Type
- dataset
- Date stamp
- 2024-02-15
- Metadata standard name
-
UK GEMINI
- Metadata standard version
-
2.2