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Jan 14
Joined up approach to managing water quality including the data used to support decisions and management
Joined up approach to managing water quality including the data used to support decisions and management
14 comments
Natur am Byth project has a WQ element - which is supposed to start looking at this and ought to bring together relevant bodies/ stakeholders together to start talking and identify how we can integrate and ensure we're not duplicating effort etc.
Natur am Byth could start this but will need action to be taken afterwards.
How can we learn how to roll out positive local projects further without everyone having to go for separate funding. How do we use data collected better - importance of citizen science and using this ins a meaningful way.
Shoresearch - WT - developed a few years ago, good example of collecting robust data.
Something similar could be integrated with water quality data collection
Is there an opportunity to deliver a project similar to SWEPT in N Wales?
Suggestion from Nia Jones NWWT - discussion or workshop around the ways Citizen Science can fill in monitoring and data gaps
Kate Griffith - interested in meeting to discuss further. Can link in as marine advisor for NW
I would be interested in this discussion - through CoCoast in NW Wales we ran a range of coastal citizen science studies between 2015 and 2018 with the aim of providing data for research and monitoring, some of which worked and some didnt, so hopefully I could provide some insight from that experience.
@siobhan.vye thanks Siobhan, would be very useful to get some input from your CoCoast experience
I can commit to being involved with producing a holistic water quality (and other environmental data) database that can collate and visualise variable data types and sources to inform decision making and management. Please get in touch
Ricardo Zanre: link WQ water quality parameters to be monitored to marine planning needs eg. target coastal species (that are threatened or being restored) WQ needs
Straight forward methodology and thorough training for citizen scientists to ensure robust data