Since the foundation of the ecosystem services concept in the ninetieth of the last century (Costanza et al. 1998, Costanza et al. 1997, de Groot 1992), many methods to map and assess ecosystem services have been developed and applied to policy and business questions worldwide. While many flexible methods exist at different spatial scales and ecosystem types, Jax et al. (2018) express the difficulty in choosing and applying the correct method to the right topic of interest. To enable a selection of appropriate methods, Harrison et al. (2018) developed a decision tree approach. However, Dunford et al. (2018) argue that often not a single method but a combination of methods are required for appropriate decision-making in real world situations. Thus, applying the concept of ecosystem services in practice is challenging, especially at institutional level (Saarikoski et al. 2018). This hampers comparability, applicability and transferability of ecosystem services assessments and related mapping applications across scales and European regions. It also impedes a solid overview of existing methods suitable for use at different scales in different biomes and types of ecosystems. These challenges require a consistent knowledge capitalisation infrastructure, where information is synthesised in a publicly accessible portal to enable a consistent description of different ecosystem conditions and the services they provide. Going beyond the previously mentioned challenges requires a flexible methodology for assessing and mapping ecosystem services. The Horizon 2020 project ESMERALDA (Enhancing ecoSysteM sERvices mApping for poLicy and Decision mAking) developed this methodology and implemented it into the "MAES explorer"*5 and the "MAES Methods Explorer*1 (MME)". The MME complements previous developments from the EU projects OpenNESS*2 and OPERAs*3. In contrast to the OPPLA*4 case-study-finder with case study areas and accompanied study area booklets and descriptions, MME focuses on methods for mapping and assessing ecosystem ...
The European Union (EU) Horizon 2020 Coordination and Support Action ESMERALDA aimed at developing guidance and a flexible methodology for Mapping and Assessment of Ecosystems and their Services (MAES) to support the EU member states in the implementation of the EU Biodiversity Strategy's Target 2 Action 5. ESMERALDA's key tasks included network creation, stakeholder engagement, enhancing ecosystem services mapping and assessment methods across various spatial scales and value domains, work in case studies and support of EU member states in MAES implementation. Thus ESMERALDA aimed at integrating various project outcomes around four major strands: i) Networking, ii) Policy, iii) Research and iv) Application. The objective was to provide guidance for integrated ecosystem service mapping and assessment that can be used for sustainable decision-making in policy, business, society, practice and science at EU, national and regional levels. This article presents the overall ESMERALDA approach of integrating the above-mentioned project components and outcomes and provides an overview of how the enhanced methods were applied and how they can be used to support MAES implementation in the EU member states. Experiences with implementing such a large pan-European Coordination and Support Action in the context of EU policy are discussed and recommendations for future actions are given. ; ISSN:2367-8194
The European Union (EU) Horizon 2020 Coordination and Support Action ESMERALDA aimed at developing guidance and a flexible methodology for Mapping and Assessment of Ecosystems and their Services (MAES) to support the EU member states in the implementation of the EU Biodiversity Strategy's Target 2 Action 5. ESMERALDA's key tasks included network creation, stakeholder engagement, enhancing ecosystem services mapping and assessment methods across various spatial scales and value domains, work in case studies and support of EU member states in MAES implementation. Thus ESMERALDA aimed at integrating various project outcomes around four major strands: i) Networking, ii) Policy, iii) Research and iv) Application. The objective was to provide guidance for integrated ecosystem service mapping and assessment that can be used for sustainable decision-making in policy, business, society, practice and science at EU, national and regional levels. This article presents the overall ESMERALDA approach of integrating the above-mentioned project components and outcomes and provides an overview of how the enhanced methods were applied and how they can be used to support MAES implementation in the EU member states. Experiences with implementing such a large pan-European Coordination and Support Action in the context of EU policy are discussed and recommendations for future actions are given.
In: Burkhard , B , Maes , J , Potschin-Young , M B , Santos-Martín , F , Geneletti , D , Stoev , P , Kopperoinen , L , Adamescu , C M , Adem Esmail , B , Arany , I , Arnell , A , Balzan , M , Barton , D N , Van Beukering , P , Bicking , S , Borges , P A V , Borisova , B , Braat , L , Brander , L M , Bratanova-Doncheva , S , Broekx , S , Brown , C , Cazacu , C , Crossman , N , Czúcz , B , Danĕk , J , de Groot , R , Depellegrin , D , Dimopoulos , P , Elvinger , N , Erhard , M , Fagerholm , N , Frélichová , J , Grêt-Regamey , A , Grudova , M , Haines-Young , R , Inghe , O , Kallay , T K , Kirin , T , Klug , H , Kokkoris , I P , Konovska , I , Kruse , M , Kuzmova , I , Lange , M , Liekens , I , Lotan , A , Lowicki , D , Luque , S , Marta-Pedroso , C , Mizgajski , A , Mononen , L , Mulder , S , Müller , F , Nedkov , S , Nikolova , M , Östergård , H , Penev , L , Pereira , P , Pitkänen , K , Plieninger , T , Rabe , S E , Reichel , S , Roche , P K , Rusch , G , Ruskule , A , Sapundzhieva , A , Sepp , K , Sieber , I M , Šmid Hribar , M , Stašová , S , Steinhoff-Knopp , B , Stępniewska , M , Teller , A , Vackar , D , Van Weelden , M , Veidemane , K , Vejre , H , Vihervaara , P , Viinikka , A , Villoslada , M , Weibel , B & Zulian , G 2018 , ' Mapping and assessing ecosystem services in the EU - Lessons learned from the ESMERALDA approach of integration ' , One Ecosystem , vol. 3 , e29153 . https://doi.org/10.3897/oneeco.3.e29153
The European Union (EU) Horizon 2020 Coordination and Support Action ESMERALDA aimed at developing guidance and a flexible methodology for Mapping and Assessment of Ecosystems and their Services (MAES) to support the EU member states in the implementation of the EU Biodiversity Strategy's Target 2 Action 5. ESMERALDA's key tasks included network creation, stakeholder engagement, enhancing ecosystem services mapping and assessment methods across various spatial scales and value domains, work in case studies and support of EU member states in MAES implementation. Thus ESMERALDA aimed at integrating various project outcomes around four major strands: i) Networking, ii) Policy, iii) Research and iv) Application. The objective was to provide guidance for integrated ecosystem service mapping and assessment that can be used for sustainable decision-making in policy, business, society, practice and science at EU, national and regional levels. This article presents the overall ESMERALDA approach of integrating the above-mentioned project components and outcomes and provides an overview of how the enhanced methods were applied and how they can be used to support MAES implementation in the EU member states. Experiences with implementing such a large pan-European Coordination and Support Action in the context of EU policy are discussed and recommendations for future actions are given.