Climate change risk to raw water quality data set 4: Colour time series

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains colour concentrations from routine soure water sampling from Scottish Water between 2010 and 2016. Permission to reuse these data needs to be sought from Scottish Water

Climate change risk to raw water quality data set 6: E. coli & rainfall data

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains rainfall data created from Met Office data and E. coli concentrations from routine source water sampling from Scottish Water between 2010 and 2016. Data are made available under a CC-BY license https://creativecommons.org/licenses/by/4.0/ except E. coli data. Permission to reuse E. coli data needs to be sought directly from Scottish Water

Climate change risk to raw water quality data set 1: Catchment characteristics

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains information describing catchment characteristics for public water supply sources in Scotland. The data were created using catchment boundaries and freely available datasets describing natural and anthropogenic conditions (see ReadMe for further description). The dataset comprises the full set of catchments provided by Scotland's public water supplier, Scottish Water. Data are made available under a CC-BY license https://creativecommons.org/licenses/by/4.0

Climate change risk to raw water quality data set 2: Subset catchment characteristics & water quality summary

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains information describing catchment characteristics for selected public water supply sources in Scotland, together with summary statistics of selected water quality indicators per catchment. The data were created using catchment boundaries, water quality data (2011 - 2016) from routine source water sampling, and freely available datasets describing natural and anthropogenic conditions (see ReadMe for further details). The dataset comprises a subset of catchments provided by Scotland's public water supplier, Scottish Water. Data are made available under a CC-BY license https://creativecommons.org/licenses/by/4.0/ except water quality data. Permission to reuse water quality data needs to be sought directly from Scottish Water

A comparison of ecosystem services mapping tools for their potential to support planning and decision-making on a local scale

The inclusion of an ecosystem services framework into planning and decision-making processes is increasingly being seen as a means to further a better implementation of the Ecosystem Approach and to achieve a more sustainable allocation of resources. Tools are slowly emerging to help scientists and practitioners with mapping ecosystem services. This study reviewed three tools with regard to their potential use as standard tools to be employed in local planning. To this end, an email survey was conducted first to identify the most important criteria practitioners require in an ecosystem services mapping tool. InVEST and EcoServ-GIS were then applied to produce several ecosystem services maps for a small catchment in the Scottish Borders. These maps were compared to already existing maps produced with another method, SENCE. We showed that there can be substantial variations in maps produced with different tools. These reflect the differences between the tools, especially in their requirements for data, their user friendliness and their accuracy. Our comparison highlights that tools so far have had to make a compromise between usability and scientific accuracy, which means that practitioners need to carefully weigh the requirements for a specific project before deciding on the appropriate tool.</p

Climate change risk to raw water quality data set 3: Water quality (TOC, Iron, Manganese, Turbidity & Colour)

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains concentrations of total organic carbon (TOC), iron, manganese, turbidity, and colour from routine soure water sampling from Scottish Water between 2011 and 2016. Permission to reuse these data needs to be sought from Scottish Water

Climate change risk to raw water quality data set 5: TOC & climate data

The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains climate data created from Met Office data and total organic carbon concentrations from routine source water sampling from Scottish Water between 2013 and 2016. Data are made available under a CC-BY license https://creativecommons.org/licenses/by/4.0/ except TOC data. Permission to reuse TOC data needs to be sought from Scottish Water