The purpose of this resource is to provide guidance and suggestions for capturing more meaningful metrics on engagement (citizen science, volunteering etc) and the social and economic benefits of work by CaBA partnerships.

The Desktop CaBA GIS Data Package is a set of over 150 data layers, which is provided to CaBA Catchment Hosts under a license negotiated centrally with the data providers. Version 5 is a complete refresh of all the preceding versions and has some great new data in it too.

Three animations by The Rivers Trust to visually introduce natural capital and ecosystem services in three films. The first introduces the subjects, the second provides context for soil and land management, and the third film has been created to provide context for investment decisions.

Case Study – The collaborative Moors for the Future Partnership is actively resorting peatland to improve water quality and reduce end of line costs for consumers.

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

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.

EcoServ-GIS is a Geographic Information System (GIS) toolkit for mapping ecosystem services at a county or regional scale. It uses input GIS/map data to generate fine-scale maps that illustrate human need or demand for ecosystem services as well as the capacity of the natural environment to provide them.

  Methodology Once the evidence has been evaluated, the partnership then works to develop a series of conceptual models or ‘rules’ that can be used to define areas of the catchment most likely to play a critical role in the provision of the different ecosystem services, singly or in combination. These priority areas are locations […]