The Environment Agency has identified 40 projects in the Environment Agency’s Flood and Coastal Erosion Risk
Management current investment programme that include NFM measures as part of their solution.
The Environment Agency has surveyed project managers and practitioners to learn more about NFM, to have more confidence in it, and be able to use it as one of
the tools to reduce flood risk.
Guidance, technical manuals, templates and examples of how to setup and run an Outfall Safari to get local volunteers involved in surveying sources of urban pollution.
Trent Rivers Trust, working in partnership with Severn Trent Water, The Rivers Trust and the Environment Agency engaged the local community in surveying the Alfreton Brook for sources of urban pollution using a methodology first developed by Zoological Society of London.
Case Study – A project to research options to reduce pharmaceuticals entering the environment through two intervention pathways: social prescribing and disposal of unused medicines.
Water quality training resources for CaBA partners to show what sort of information can be obtained from different types of water quality monitoring data, and to make available a suite of tools and resources to help access and analyse existing data, and plan future collaborative monitoring strategies.
This page provides a narrative to explain what natural capital is, why it is important for catchment partnerships and guides you through the growing list of resources available to help you incorporate natural capital into the work of the partnership
How much can natural measures reduce flooding at large scales? To answer this question over the next three years the Q-NFM investigator team, lead by Lancaster University, will work in three large Cumbrian catchments (‘test basins’), the Eden, Derwent and Kent with their partners who are delivering NFM interventions .
NEVO is a map-based decision support tool to inform decisions that affect the natural environment of England and Wales. It makes use of state-of-the-art environmental and economic models developed by the University of Exeter in a user-friendly interface.