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National mapping and assessment of ecosystem services projects in Europe Participants' experiences, state of the art and lessons learned

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00582788" target="_blank" >RIV/86652079:_____/24:00582788 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11690/24:10486605

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2212041623000852?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2212041623000852?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecoser.2023.101592" target="_blank" >10.1016/j.ecoser.2023.101592</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    National mapping and assessment of ecosystem services projects in Europe Participants' experiences, state of the art and lessons learned

  • Original language description

    Backed by the Biodiversity Strategy to 2020 and 2030, numerous 'Mapping and Assessment of Ecosystem Services' (MAES) projects have been completed in recent years in the member states of the European Union, with substantial results and insights accumulated. The experience from the different approaches is a valuable source of information for developing assessment processes further, especially with regard to their uptake into policy and more recently, into ecosystem accounting. Systematic approaches towards best practices and lessons learned from national MAES projects are yet lacking. This study presents the results of a survey conducted with participants of national MAES projects overviewing 13 European MAES processes. Focus hereby is put on the types of methods used, the assessed ecosystem services, and the perceived challenges and advancements. All MAES projects assessed ecosystem services at several levels of the ecosystem service cascade (69% at least three levels), using a diverse set of data sources and methods (with 4.7 types of methods on average). More accessible data was used more frequently (e.g., statistical and literature data being the most popular). Challenges regarding policy uptake, synthesizing results, and data gaps or reliability were perceived as the most severe. Insufficient evaluation of uncertainty was seen as a major critical point, and emphasized as crucial for uptake and implementation. Moving towards accounting for ES in the frame of environmentaleconomic accounts, considering uncertainties of ES assessments should be even more important.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ecosystem Services

  • ISSN

    2212-0416

  • e-ISSN

    2212-0416

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    FEB

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    101592

  • UT code for WoS article

    001156404400001

  • EID of the result in the Scopus database

    2-s2.0-85183429456