The NEES Mapping Pilot demonstrates a mapping approach for ecosystem services at the national scale with datasets prioritised through stakeholder consultation.
The NEES Mapping Pilot establishes a methodological framework for a National Ecosystem Assessment for Ireland. The pilot was designed to assist implementation of MAES under Target 2 Action 5 of the EU Biodiversity Strategy: ‘to Map and Assess in its national territory the state of Ecosystems and the Services they supply’. The mapping tool used for this project was SENCE (Spatial Evidence for Natural Capital Evaluation: https://ecosystemsknowledge.net/sence-spatial-evidence-natural-capital-evaluation), selected for its ability to be manipulated to accept a wide range of data sources at different scales, and its ability to deliver outputs for a variety of ecosystem services. It is a GIS system, which allows for stakeholder weighting to be applied and, therefore, local knowledge to be included. A key output is a Habitat Asset Register, a national scale habitat mapping tool containing 46 nationally relevant datasets. Datasets were identified and the tool developed through workshops with carefully selected stakeholders including organisations likely to be involved in implementing projects to restore ecosystems in Ireland; stakeholders with existing knowledge of environmental and societal issues and policy in Ireland, as well as; technical experts and other stakeholders with knowledge of relevant data and projects. The project team has engaged with local and regional authorities, particularly for developing city, county and regional green infrastructure strategies.

Resources needed

Funded by the Irish Government at a cost of €106,000 for an 11-month period. International leaders in the development of the Common International Classification of Ecosystem Services (CICES) and data management were contracted. Two NPWS staff worked on the project on a 50% basis for its duration.

Evidence of success

The NEES Pilot has been an important resource for regional and local authorities in Ireland as they begin to quantify and account for ecosystem services. At the regional level, the Eastern and Midland Regional Assembly has used the practice to demonstrate how ecosystem services can contribute to regional development for healthy living, climate action and economic opportunity. At the local level, municipalities have started to use the practice to quantify, map and value their ecosystem services.

Difficulties encountered

Identified datasets had varying characteristics in terms of coverage, age, scale, nomenclature, quality & resolution. A significant proportion of project resources were therefore required to create as single, standardised Habitat Asset Register. Data was not available for all relevant indicators.

Potential for learning or transfer

The need for an enhanced classification of CICES sub-classes depending on local characteristics was clearly identified by the practice. These sub-classes represent ecosystem goods and services that can be measured ‘on the ground’ and have policy or management relevance in a given regional context. Such identification provides the flexibility required to develop geographically specific applications. Being rule-based, the methodology is designed to be transparent and transferable. It uses scientific knowledge to score each ecosystem indicator using expert interpretation of the datasets used. The weightings are retained in a tabular format and the same approach can be applied to model and map other ecosystem services. The approach is iterative in nature and can be applied using standardised parameters. It can also be adapted using local knowledge and expertise. These factors make the practice highly transferrable between contexts and at multiple scales (local, regional or national).

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Project
Main institution
National Parks and Wildlife Service (NPWS) of the Department of Arts Heritage Regional, Rural and Gaeltacht Affairs, Ireland
Location
Southern and Eastern, Ireland (Éire)
Start Date
July 2015
End Date
June 2016

Contact

Owen Douglas Please login to contact the author.

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