CaBA Knowledge Management Framework


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Two way data sharing between government agencies and community groups is essential to ensure effective delivery of the Water Framework Directive and many other statutory and environmental management objectives. Achieving this will require some joined-up thinking and investment in strategic infrastructure, particularly for the community groups who aren't currently covered by the INSPIRE directive.
The Rivers Trust as the umbrella body for the rivers trusts movement are key players working towards this aim.

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  • Catchment management provides a holistic approach to protecting and improving the water environment. It has ecology at its centre and takes account of all the pressures acting on all types of water. On a 6-yearly basis the Environment Agency follows this cycle to produce catchment plans: Describe Split the environment into manageable chunks (~7000 rivers, lakes, estuaries), assess their risk from different types of pressure (dozens of things including pollution, modification, extraction), monitor water and wildlife accordingly Classify Use monitoring results to grade units of water. Find problem Work out what is causing the problems in low quality water bodies Set target Come up with a reasonable, but ambitious target for improvement Act Do things on the ground to improve the environment. People also live and work in catchments so catchment plans provide a great hook to get people engaged and involved in improving their local water environment. Consultation occurs on each of the stages, and the more we can get others to help the more we can achieve for the environment. This process generates a very diverse range of data and information.
  • RT have reviewed catchment plans from many of the pilots – common theme is the importance of data and information to: Identify solutions and inform strategic management Engage stakeholders, influence land owners and identify, explain and deliver ‘win-win’ outcomes Monitor outcomes and identify what is and isn’t working to feedback through the adaptive management loop
  • How data, knowledge, models and tools fit in to the CaBA
  • It’s not just about sharing data. Moving up the data continuum is about engaging people – if you build the understanding together then you can use the knowledge to influence behaviour – that’s when it becomes wisdom. For this to work it can’t just be about academics, consultants and specialists combining datasets and presenting outputs then expecting interventions to happen. Experience shows that if the end audience isn’t engaged at every stage, they don’t buy in to the modelling and so they don’t believe the outputs or understand the level of uncertainty, so providing access to data AND derived information AND knowledge is crucial.
  • EA CPS is in progress and will be a tool for reporting up to EU and pulling together the contents of the RB plans, and will also provide access route for external users to the WFD reporting info and the monitoring / evidence base. This will be important and useful information for stakeholder engagement and plan preparation BUT – catchment planning process generates a lot of data that is held externally to the EA: monitoring data, catchment investigations, reasons for failure, local knowledge, community desires and visions for their catchments, local contacts and the detailed measures, cost-benefit analyses, funding mechanisms, etc. There is no process for reporting measures up to the RBPs, there are few standards being adopted for data capture and storage which would enable true data and knowledge sharing solutions to be implemented and this will only get worse as the approach is rolled out to more catchments if we don’t act soon to develop a solution.
  • Our Vision We envisage an External Catchment Planning System, which would be owned and operated by the WFD co-delivery community, building on existing initiatives such as the DTC archive data models and vocabularies, to bring external datasets in to a future-proofed and INSPIRE-compliant archive, which could then serve out data in formats which would be compatible with EA reporting systems, and would allow publishing of Linked Data, and could complement and build on the work of other intiatives like the EVO and the CCM Hub.
  • How data, knowledge, models and tools fit in to the CaBA
  • How data, knowledge, models and tools fit in to the CaBA
  • CaBA Knowledge Management Framework

    1. 1. Information and knowledge sharing for the Catchment Based Approach Michelle Walker, Head of GIS & Data Management The Rivers Trust
    2. 2. Catchment Management Planning
    3. 3. at all of the monitoring sites, excluding site 4. The Environment Agency's operational instruction manual ial: freshwater macro-invertebrate sampling in rivers). ried out at each site, followed by kick sampling using d. The net used was a standard 1mm mesh sampling disturbing the substrate by foot and capturing any eam with the flow into the sampling net. All available rtionately and for a total time of three minutes. er and then preserved using IMS (industrial methylated e bank side for dead invertebrates. cluding depth, substrate and flow type, a subjective nt observations were recorded. Estimates of algae and ng a 500-micron sieve and placed into a sorting tray. identified to species level with the exception of and Simuliidae, Sphaeridae and Chironomidae which g it impossible to identify other macro-invertebrates to on features missing. e to the each site. way of streams. ging from tolerate ave a low gh score. le is the P) score. er taxon) Figure 23: Macro-invertebrate sampling at BidneyFarm(Site 3). observed at Site 2 could be indicative of the more favourable habitat conditions as a result of WUF habitat restoration works. To substantiate these results, additional monitoring is recommended. The failure of the Tippets Brook to support a healthy fish population is attributed to the limited availability of suitable in-stream habitats, as a result of extensive channel modifications and agricultural diffuse pollution, causing elevated levels of in-stream sediment and nutrients. Figure26:Semi-quantative electro-fishsurveyat Tyrrell’sCourt, u s ingb a tterypo weredba ckpack equipment.
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    5. 5. “Data and evidence are needed to inform strategic catchment management planning” The Need for Information “Cooperation and data- sharing are a powerful way to achieve ‘win-win’ situations”“Robust monitoring will help to assess which actions are most successful”
    6. 6. Information and Knowledge Sharing for the CABA 1. Build Partnerships Maps for workshops Visualisation tools Access to local information 2. Characterise Watershed Catchment investigations Monitoring Modelling 3. Set goals – identify solutions Ecosystem services mapping Source apportionment Visualisation 4. Design implementation programme Catchment appraisal tool Scenario modelling Evidence base Visualisation tools 5. Implement plan Recording actions Monitoring 6. Measure progress Monitoring Modelling Visualisation RELU
    7. 7. • Need to move from catchment data & information to knowledge & wisdom • All stakeholders need access to the information Sharing Information for Catchment Planning Data Information Knowledge Wisdom Understanding relationships Understanding patterns Understanding principles Building a common understanding Siltation Redox values Scimap erosion risk and connectivity Inadequate buffer strips Engage farmers & deliver interventions Walkover confirms arable runoff
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    9. 9. Catchmen t!
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    15. 15. Pollutant Level + Mobilisation + Connectivity = Pollution risk SOURCE PATHWAY RECEPTOR
    16. 16. • Information management is key to successful rollout of CaBA • Community evidence base will grow rapidly • Catchment plans will be produced in unique local ways Review ??? How does this feed up to the River Basin Planning process in a coherent way?
    17. 17. National Evidence Base Local Community Knowledge Base
    18. 18. National Evidence Base Local Community Knowledge Base External Catchment Planning SystemExternal Catchment Planning System MonitoringMonitoring Local Knowledge Local Knowledge ActionsActions Our Vision
    19. 19. Centre for Excellence
    20. 20. Centre for Excellence 1. Basic skills development (GIS, monitoring techniques, walkover surveys, invasive species, biological monitoring methods, water chemistry, citizen science, etc.) 2. Provision of knowledge management expertise (catchment investigations design, modelling, farm advice, data analysis, experimental design, data and evidence interpretation and visualisation, etc.) 3. Resources and logistics (data modelling and standards, data storage and sharing platforms, data licensing and procurement, software, tools, online resources, etc.)
    21. 21. Thank you for your attention