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Modelling monetary and non-monetary flows of recreational ecosystem services in Germany

Authors: Johannes Hermes; Christian Albert; Christina von Haaren;

Modelling monetary and non-monetary flows of recreational ecosystem services in Germany

Abstract

Abstract While policy interest and research on recreational ecosystem services (RES) has increased substantially, insights into the actual flows of benefits to people have remained scarce, especially at levels beyond local communities. This paper aims to model RES Flows and Benefits for Germany in monetary and non-monetary terms. We use Germany as a case study due its diversity of landscapes and availability of relevant spatial and empirical data. We develop and apply an assessment approach that considers RES Demand and Supply based on user preferences. Our results show distinct demand–supply matches and mismatches, for example in southwest Germany, and highest flows near population centres. Monetary benefits are highest in counties with high RES Supply that are close to densely populated areas. Our results can usefully inform planning and decision-making, for example to improve and further justify destination management, landscape development, and investments in RES at local, regional, and national levels.

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Keywords

Conservation of Natural Resources, Germany, Recreation, Humans, Economic valuation ; Humans [MeSH] ; Ecosystem [MeSH] ; National level ; Recreation ; Integrating demand, supply, flow, and benefits ; Models, Theoretical [MeSH] ; Cultural ecosystem services ; Germany [MeSH] ; Conservation of Natural Resources/methods [MeSH] ; Recreation/economics [MeSH] ; Mapping and assessment ; Research Article, Models, Theoretical, Ecosystem, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid