2021
DOI: 10.3390/app112411799
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Assessment of Ecosystem Services across the Land–Sea Interface in Baltic Case Studies

Abstract: Spatial assessments of ecosystem services (ES) are needed to fulfil EU policy requirements and to support practical applications of the ES concept in policy implementation. So far, ES assessments have largely focused on terrestrial systems. A joint approach for land and sea is especially lacking. To overcome this gap, we present a novel spatial habitat typology and ES classification for an assessment across the land–sea interface. We build upon existing approaches and common spatial definitions, like CORINE la… Show more

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Cited by 9 publications
(8 citation statements)
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References 39 publications
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“…Our habitat assessment was tested for the Baltic Sea and considered to be suitable for identifying differences between ES of emerged and submerged macrophyte habitats when assessing comparatively but not individually. Similar approaches exist for terrestrial, coastal and marine ecosystem types in Northern Germany (Müller et al 2020 ) and ecosystems across the land-sea interface in the Baltic (Schumacher et al 2021 ). We learnt that the application on a Baltic Sea wide level works well when using expert knowledge, but only very limited when using indicators.…”
Section: Discussionmentioning
confidence: 91%
“…Our habitat assessment was tested for the Baltic Sea and considered to be suitable for identifying differences between ES of emerged and submerged macrophyte habitats when assessing comparatively but not individually. Similar approaches exist for terrestrial, coastal and marine ecosystem types in Northern Germany (Müller et al 2020 ) and ecosystems across the land-sea interface in the Baltic (Schumacher et al 2021 ). We learnt that the application on a Baltic Sea wide level works well when using expert knowledge, but only very limited when using indicators.…”
Section: Discussionmentioning
confidence: 91%
“…The results from simple GIS mapping and InVEST models were classified into the six 0-5 classes to face comparison with the expert estimates from the expert-based ES matrix approach. The classification was done manually and followed the recommendations by [27] and Schumacher et al (2021) [30] (see Supplementary Materials S1).…”
Section: Methodsmentioning
confidence: 99%
“…This classification and normalisation reduce the complexity and allow comparisons between individual ES [27,29]. The ES matrix approach can be used to analyse different components of ES, for example, ES supply or demand [30][31][32][33]. It is possible to determine the ES values via expert estimates (which can be collected in participatory scoring processes, also called the expert-based ES matrix approach) or from proxy data and comprehensive model results [28,34].…”
Section: Introductionmentioning
confidence: 99%
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“…Most authors link specific habitats (Salomidi et al 2012, Galparsoro et al 2014, Depellegrin et al 2017, Hattam et al 2021 and/or species (Burdon et al 2017, Culhane et al 2018, or marine protected areas (Potts et al 2014, Geange et al 2019) and the supply of ES . Other au-thors combine the analysis of marine and terrestrial habitats (Müller et al 2020, Schumacher et al 2021 or connect ecosystem functions and the supply of ES (Armoškaitė et al 2020).…”
Section: Graphical Abstractmentioning
confidence: 99%