SRTMN - Tree planting prioritisation for shading rivers - where both banks can be planted
This map layer has been supplied directly by Marine Scotland National Marine Plan interactive. You can obtain additional information about the layer on this page
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...) 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.
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).
The outputs of this work are illustrated as three layers on Marine Scotland Maps NMPi:
1. Prioritisation where both banks can be planted
2. Prioritisation where only north banks can be planted
3. Prioritisation where only south banks can be planted
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.