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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CaBA Knowledge Management Framework
1. Information and
knowledge sharing for
the Catchment Based
Approach
Michelle Walker,
Head of GIS & Data Management
The Rivers Trust
www.theriverstrust.org
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.
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. 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. • 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
24. • 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?
26. National
Evidence
Base Local Community
Knowledge Base
External Catchment Planning SystemExternal Catchment Planning System
MonitoringMonitoring Local
Knowledge
Local
Knowledge ActionsActions
Our Vision
28. 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.)
29.
30. Thank you for your attention
michelle@theriverstrust.org
Notas do Editor
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
