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        <Abstract>This layer has been developed to combine the outputs from “summer_max_tw_2003” and “summer_climate_change_sensitivity” SRTMN layers 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.&#13;
&#13;
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.</Abstract>
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        <Title>Scotland River Temperature Monitoring Network (SRTMN) – Riparian Woodland Prioritisation Scores (view only / scale restricted)</Title>
        <Abstract>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.  &#13;
&#13;
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.’ (see link under ‘Additional Information’ Tab).&#13;
&#13;
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 (see link under ‘Additional Information’ Tab).&#13;
&#13;
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: &#13;
1.	Nationally scaled tree planting prioritisation score where trees are planted on both banks&#13;
2.	Nationally scaled tree planting prioritisation score where trees are planted on only the most southerly bank&#13;
3.	Nationally scaled tree planting prioritisation score where trees are planted on only the most northerly bank&#13;
4.	Locally scaled tree planting prioritisation score where trees are planted on both banks&#13;
5.	Locally scaled tree planting prioritisation score where trees are planted on only the southerly bank&#13;
6.	Locally scaled tree planting prioritisation score where trees are planted on only the northerly bank&#13;
&#13;
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). &#13;
&#13;
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&#13;
&#13;
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.</Abstract>
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        <Title>Scotland River Temperature Monitoring Network (SRTMN) - Predictions of the change in river temperature that would result from a 1°C increase in air temperature (view only / scale restricted)</Title>
        <Abstract>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. This layers shows predictions of the change in river temperature that would result from a 1°C increase in air temperature.</Abstract>
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        <Abstract>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. This layers shows predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003).</Abstract>
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        <Abstract>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. This layers shows predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016.</Abstract>
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        <Abstract>Salmon Fishery District boundaries, used by Scottish Government Marine Scotland for reporting annual salmon catch statistics (which are obtained from salmon catch returns made by the owners/occupiers/agents of salmon fisheries) and for annual salmon stock assessment under the Salmon Conservation (Scotland) Regulations. &#13;
&#13;
District boundaries were interpreted from the Salmon Fisheries (Scotland) Acts 1862 - 1868, and are based on Scottish Environment Protection Agency (SEPA) river catchments and licensed Centre for Ecology and Hydrology (CEH) 1:50,000 data. Boundaries and attributes were updated in 2019 and no further boundary or attribute changes have been required.&#13;
&#13;
Salmon Fishery Districts are available to view as a layer on the Marine Scotland Open Data Network – see Marine Scotland Information pages for Salmon and Sea Trout Fishing at https://marine.gov.scot/themes/salmon-sea-trout-fishing. Boundaries were re-projected from British National Grid (BNG) to WGS84 Web Mercator before upload to Marine Scotland MAPS NMPi.&#13;
&#13;
As the layer was derived by the Scottish Government from a licensed dataset, it is not downloadable or routinely available. It can be shared on request if the user provides evidence that they hold a licence from the Centre for Ecology and Hydrology (CEH) for the 1:50,000 Digital Terrain Model (DTM).</Abstract>
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        <Abstract>Salmon Stock Assessment Areas boundaries, used by Scottish Government Marine Scotland to demarcate rivers where salmon stocks are assessed under the Salmon Conservation (Scotland) Regulations 2016. The regulations are amended annually to introduce measures for protecting stocks. Assessment Areas are also used for reporting annual statistics obtained from salmon catch returns made by the owners/occupiers/agents of salmon fisheries.&#13;
&#13;
Assessment Areas boundaries are based on Scottish Environment Protection Agency (SEPA) river catchments and licensed Centre for Ecology and Hydrology (CEH) 1:50,000 data. For 17 salmon Special Areas of Conservation (SAC) the Assessment Areas boundaries include information from Scottish Natural Heritage (SNH) (now NatureScot) and the Joint Nature Conservation Committee (JNCC). Assessment Areas boundaries are a subset of Scottish river catchments, where Marine Scotland has sufficient information on salmon stocks in rivers, or groups of rivers, that their status can be assessed annually and graded for the subsequent fishing season. &#13;
&#13;
Assessment Areas boundaries were updated in 2019 and no further boundary changes have been required. Attributes include annual grade values from 2018 onwards.&#13;
&#13;
Salmon Stock Assessment Areas are available to view as a layer on the Marine Scotland Open Data Network – see Marine Scotland Information pages for Salmon and Sea Trout Fishing at https://marine.gov.scot/themes/salmon-sea-trout-fishing. Boundaries were re-projected from British National Grid (BNG) to WGS84 Web Mercator before upload to Marine Scotland MAPS NMPi.&#13;
&#13;
As the layer was derived by the Scottish Government from a licensed dataset, it is not downloadable or routinely available. It can be shared on request if the user provides evidence that they hold a licence from the Centre for Ecology and Hydrology (CEH) for the 1:50,000 Digital Terrain Model (DTM).&#13;
&#13;
Information on river grades can be found at https://www.gov.scot/publications/salmon-fishing-proposed-river-gradings/pages/overview-and-gradings/</Abstract>
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        <Title>Scotland River Temperature Monitoring Network (SRTMN) - Tree planting prioritisation for shading rivers (View only / Scale restricted)</Title>
        <Abstract>River temperature is an important control on the health of fish populations. Under climate change it is expected that river temperature will rise with negative consequences for fish populations. Management of riparian woodland is proven to protect cold water habitats. However, the creation of new riparian woodland can be costly and logistically challenging. It is therefore important that woodland creation is prioritised to areas where (1) river temperatures are 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) where riparian woodland can be most effective in reducing maximum summer river temperatures. Together these tools can be used to prioritise riparian tree planting in Scotland to protect freshwater fish and fisheries from the effects of climate change.&#13;
&#13;
These layers identify where river temperatures can be reduced through riparian shading in Scotland (3 above). Details of modelling work that produced these layers can be found in the associated peer reviewed manuscript: Jackson et al (2021) A deterministic river temperature model to prioritise management of riparian woodlands to reduce summer maximum river temperatures (see link under ‘Additional Information’ Tab).&#13;
&#13;
The outputs of this work are illustrated as three layers on Marine Scotland Maps NMPi: &#13;
1.	Prioritisation where both banks can be planted&#13;
2.	Prioritisation where only north banks can be planted &#13;
3.	Prioritisation where only south banks can be planted &#13;
&#13;
The rankings and colour scales run from 0- 10, with 0 being low priority (no temperature reduction) and 10 high priority (large temperature reduction). First order (Strahler) rivers have been removed from this dataset. NAs are where we were unable to make predictions of planting potential e.g. lochs, or in circumstances where we cannot generate the required covariates.</Abstract>
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