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                    <gco:CharacterString>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</gco:CharacterString>
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            <gco:CharacterString>For modelling climate change, BIO-ORACLE data on near seabed temperature 
        estimations on decadal timescales (Assis et al., 2018) were used to examine the degree of 
        climatic variability that areas of habitat restoration potential will experience. Due to a lack 
        of physiological data on species-specific response in metabolic rates to change in seabed 
        temperatures or sufficient historic information of the extent and distribution of the habitats 
        considered in MaRePo+, a temperature anomaly approach was chosen to investigate 
        which geographical regions are likely to experience higher rates of change and are thus 
        likely to experience more environmental stress, potentially making them more susceptible 
        to climate change impacts.
        Predicting restoration potential of subtidal habitats in English waters is difficult due to the 
        inherent variability in environmental conditions, insufficient species distribution and extent 
        data over space and time, and because empirical research on restoration potential of 
        marine ecosystems is limited at best. As a result, restoration potential model predictions 
        can be highly variable depending on the data available and the predictive model used. 
        Refining the habitat restoration potential models presented in the MaRePo pilot study by 
        including new species occurrence data and additional physical parameters that further 
        define habitat suitability has resulted in a new set of restoration potential maps for kelp, 
        native oysters, horse mussels and sea-pen and burrowing megafauna habitats. The new 
        maps show revised habitat potential extents from those described in the pilot project, and 
        due to the model improvements undertaken in this project we have increased confidence 
        in the new model outputs. The constraints modelling has further refined the original 
        restoration potential areas, resulting in maps that show areas where restoration could 
        more realistically be carried out with more likely positive outcomes (see Table 1 and Table 
        2 for summary results). This, alongside identifying areas where climate change impacts 
        may reduce the chances of sustained restoration success, can be used to prioritise areas 
        for marine habitat restoration.</gco:CharacterString>
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                    <gco:Date>2021-03-18</gco:Date>
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            <gmx:Anchor xlink:href="https://apps.epsg.org/api/v1/ProjectedCoordRefSystem/27700">OSGB36 / British National Grid</gmx:Anchor>
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