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Service Description: The Native Woodland digital data is © The Macaulay Institute and Scottish Natural Heritage 2004. NWM has been developed to assist in the planning of native woodland expansion. The base datasets are the 1:250,000 scale national soils map and the 1:25,000 scale Land Cover of Scotland 1988 dataset. Because of the scales of these datasets the model should not be used at scales below 1:50,000. These soil and land cover data have been related to the requirements of different types of native woodland, to predict potential woodland types - i.e. the woodland National Vegetation Classification (NVC) types - which would be expected to develop under current soil and vegetation conditions, with no or minimal ground intervention, including fertilisation, ground preparation and drainage. The resulting maps represent the potential-natural extent of native woodland cover under current environmental conditions; they are not aspirations for final woodland cover. The model covers upland Scotland, where soil types are generally semi-natural. Where soils have been heavily modified by cultivation and industry the model is considered less useful in predicting semi-natural woodland distribution patterns because the highly modified soils could now support many types of woodland. Comparisons of the NWM output with accumulated temperature, moisture deficit and exposure data suggest that the combined soils and land cover deposits provide robust surrogate for the main climatic variables at the resolution of the model output. A review of the NWM outputs for the Highlands, and comparisons with actual NVC surveys suggest that the NWM accurately predicts site suitability for oakwood, ashwood and pinewood. Comparison with NVC surveys has yet to be carried out for birchwood, mixed broadleaves and wet woodland. The NWM output has been classified according to Habitat Action Plan types to facilitate its use in biodiversity action planning.

Map Name: NWM

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Spatial Reference: 102100  (3857)


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Title: Soils_250K_repairs_01
Author: dd40096
Comments: Methodology 1. Data on the individual soil profiles held within the Scottish Soils Database were used to determine the texture of each soil series shown on the 1:25 000 scale maps that delineate the NVZs. 2. The measured particle size data for each soil horizon (layer) was classified to a depth of 80 cm into a soil texture type based on the British Standard Texture Classes and assigned to one of the five categories (shallow soils - SS, sands - S, sandy loams - SL, other mineral soils - OMS, humose soils - HS, peaty soils - PS. 3. The digitial soils data were categorised according to these classes using expert knowledge to interpret the 1:25 000 soil series maps. 4. Where a soil series could not be allocated to one of these classes, for example, where soil textures changed abruptly with depth or where there were a significant proportion of the soil profiles examined had a different soil texture class, they were allocated to a hybrid class. Soil Texture Assessment 1. Does the moist soil feel or sound gritty? No -> 5, Yes -> 2 2. Is the soil cohesive? No -> Sand, Yes -> 3 3. Can the soil be rolled into a ball? No -> Loamy sand, Yes -> 4 4. Does the soil feel smooth and silky as well as gritty? No -> Sandy loam, Yes -> Sandy silt loam 5. Does the soil mould to form an easily deformed ball and feel smooth and silky? No -> 6, Yes -> Silt loam 6. Does the soil mould to form a strong ball that smears but does not take a polish? No -> 9, Yes -> 7 7. Is the soil also rough and gritty? No -> 8, Yes -> Sandy clay loam 8. Is the soil also smooth and silky? No -> Clay loam!, Yes -> Silty clay loam 9. Does the soil mould like plasticine, polish and feel very sticky when wetter? No -> Start again!, Yes -> 10 10. Is the soil also rough and gritty? No -> 11, Yes -> Sandy clay 11. Is the soil also smooth and buttery No - > Clay, Yes -> Silty clay
Subject: Soil texture based on Hutton 1:25,000 Soils Data. Updated in July 2016 to cover Nitrate Vulnerable Zones as revised in 2015/16.
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Keywords: NWM,native woodland,Scotland
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