SpatialData.gov.scot
Scotland River Temperature Monitoring Network (SRTMN) - Riparian Woodland Prioritisation Scores
Increasing river temperatures are a threat to many of Scotland's freshwater species which are often adapted to live in cool environments. This includes ecologically and economically important freshwater fish species such as Atlantic salmon and brown trout. Management of riparian woodland is proven to protect cold water habitats. However, Scotland has ca. 108,000 km of rivers, of which only ca. 35% are protected by any substantial tree cover. Furthermore, the creation of new riparian woodland can be costly and logistically challenging compared to other forms of large scale woodland creation. It is therefore important that riparian tree planting is prioritised to areas where it can have greatest benefits for river temperature, specifically, where rivers are (1) hottest (2) most sensitive to climate change (see SRTMN Predictions: http://marine.gov.scot/information/scotland-river-temperature-monitoring-network-srtmn-predictions-river-temperature-and) and (3) can be effectively cooled by riparian woodland (see tree planting prioritisation layer). These three individual criteria can be combined with an equal weight to provide a single riparian woodland prioritisation score that looks to maximise the benefits of riparian tree planting for protecting Scotland’s rivers from the adverse effects of climate change.
Details of the modelling work that produced the river temperature and climate sensitivity predictions can be found in the peer reviewed manuscript: Jackson et al (2018) ‘A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change.’
Details of the modelling work that identifies where riparian trees can have the greatest effect in reducing summer maximum river temperatures can be found in: Jackson, F.L., Hannah, D.M., Ouellet, V. and Malcolm, I.A. (2021) A deterministic river temperature model to prioritise management of riparian woodlands to reduce summer maximum river temperatures.
Given the variety of potential tree planting options (southerly banks, northerly banks, both banks) and the need to scale results both nationally and locally, the outputs are illustrated as six layers on Marine Scotland Maps NMPi:
1. Nationally scaled tree planting prioritisation score where trees are planted on both banks
2. Nationally scaled tree planting prioritisation score where trees are planted on only the most southerly bank
3. Nationally scaled tree planting prioritisation score where trees are planted on only the most northerly bank
4. Locally scaled tree planting prioritisation score where trees are planted on both banks
5. Locally scaled tree planting prioritisation score where trees are planted on only the southerly bank
6. Locally scaled tree planting prioritisation score where trees are planted on only the northerly bank
Riparian woodland prioritisation scores are on a scale of 1- 20, where 1 is low priority (low temperature, weak sensitivity to climate change and only a small reduction in temperature gained from planting trees) and 20 is high priority (high temperature, strong sensitivity to climate and a large expected reduction in temperature where trees are planted).
To visualise the three bank scenarios it is necessary to produce a total of 3 spatial layers (i.e. planting both banks, planting on southerly bank, planting on northerly bank). However, the scores are consistent between these layers. To support decision making at different spatial scales layers were produced to identify priorities at a national scale and then re-scaled at a hydrometric area (regional) scale to highlight local priority areas
Very small rivers (First (Strahler) order rivers on the CEH digital river network) were removed from this dataset. NAs exist where we are unable to make predictions of maximum temperature, climate sensitivity or planting potential. This includes locations in lochs or in circumstances where we cannot generate the required predictor variables.
* 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
Identification info
- Metadata Language
- English
- Character set
- UTF8
- Dataset Reference Date (Publication)
- 2020-10-27
- Identifier
- Marine_Scotland_FishDAC_12347
- Maintenance and update frequency
- Unknown
- Keywords
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SeaDataNet Agreed Parameter Groups
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Habitat
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-
SeaDataNet Parameter Disciplines
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Environment
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GEMET - INSPIRE themes, version 1.0
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-
Habitats and biotopes
-
- Use limitation
-
Reference must be made to the original publications: Jackson et al (2018), Jackson et al (2021). All maps must include the attribution: ‘Based on digital spatial data licensed from the Centre for Ecology & Hydrology, © NERC (CEH)' and 'Contains Ordnance Survey data © Crown copyright [year]'.
- Limitations on Public Access
- Other restrictions
- Other constraints
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public access limited according to Article 13(1)(e) of the INSPIRE Directive
- Use constraints
- Other restrictions
- Other constraints
- Reference must be made to the original publications: Jackson et al (2018), Jackson et al (2021). All maps must include the attribution: ‘Based on digital spatial data licensed from the Centre for Ecology & Hydrology, © NERC (CEH)' and 'Contains Ordnance Survey data © Crown copyright [year]'.
- Spatial representation type
- Vector
- Distance
- 50 http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources/uom/gmxUom.xml#m
- Topic category
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- Environment
- Inland waters
- Extent
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The entire body of water between the bed and the atmosphere.
SeaDataNet vertical extent keywords 2010-01-01
))
Temporal reference
Temporal extent
- Begin
- 2020-10-27
- End
- 2020-10-27
Temporal extent
- Code
- EPSG:27700
Distribution Information
Data format
- Data format
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Name Version ESRI Shapefile
1.0
Transfer options
- Resource Locator
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Protocol Resource Locator Name OGC:WMS-1.3.0-http-get-capabilities
https://msmap1.atkinsgeospatial.com/geoserver/nmpwms/wms?service=wms&version=1.3.0&request=GetCapabilities SRTMN_riparian_woodland_prioritisation_score
WWW:LINK-1.0-http--link
https://maps.marine.gov.scot WWW:LINK-1.0-http--link
https://doi.org/10.2166/nh.2015.106 WWW:LINK-1.0-http--link
https://doi.org/10.1002/hyp.14314
Data quality info
- Quality Scope
- Dataset
- Conformity
- Conformity
- Conformity
- COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Explanation
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This data set is non-conformant with the INSPIRE Implementing Rules for
the interoperability of spatial data sets and services
- Degree
- true
- Statement
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River lines in the layers were derived from a Digital Rivers Network licensed from the Centre for Ecology and Hydrology (CEH). Very small rivers (First (Strahler) order rivers on the CEH digital river network) were removed from this dataset. NAs exist where we are unable to make predictions of maximum temperature, climate sensitivity or planting potential. This includes locations in lochs or in circumstances where we cannot generate the required predictor variables.
The daily maximum river temperature model for Scotland is a spatio-temporal statistical model that 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).
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. ( https://www.sciencedirect.com/science/article/pii/S0048969717323525?via%3Dihub=).
The riparian tree planting prioritisation model is a simplified process based (deterministic) river temperature model, driven by energy gains from solar radiation, modified by coarse scale characterisation of hydrological and hydraulic conditions. Solar radiation receipt is predicted depending on channel width, orientation, aspect, gradient, tree height, tree location and solar geometry. Subsequent effects on river temperature are strongly influenced by water volume and residence time which can be broadly characterised by river order. The model compares predicted river temperatures with and without trees (ignoring energy losses) to provide a prioritisation metric, where high values indicate that tree planting can have a large effect on river temperature. The resulting output is a planting prioritisation metric that can be mapped at large spatial scales using information obtained from a digital river network to facilitate management decisions.
Details of the planting prioritisation predictions can be found in: Jackson, F.L., Hannah, D.M., Ouellet, V. and Malcolm, I.A. (2021) A simplified deterministic river temperature model to prioritise the management of riparian woodland to mitigate high river temperatures under climate change ( https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.14314).
SRTMN national riparian woodland prioritisation scores were produced by normalising maximum temperature, climate sensitivity and planting prioritisation values between 1 and 20, summing scores across the three values and dividing by three, to give an overall prioritisation where each individual component was equally weighted.
SRTMN local riparian woodland prioritisation scores were produced by rescaling prioritisation values within hydrometric areas. These scores reflect local priorities but cannot be compared between hydrometric areas.
Metadata
- File identifier
- Marine_Scotland_FishDAC_12347 XML
- Metadata Language
- English
- Resource type
- Dataset
- Metadata Date
- 2023-10-31T17:41:07
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
Point of contact
- Individual name
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Marine Directorate
- Organisation name
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Scottish Government
- Voice
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+44 (0)300 244 4000
- Electronic mail address
-
marine.gis@gov.sco marine.gis@gov.scot
- Role
- Point of contact