2017
DOI: 10.1016/j.landurbplan.2017.06.002
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Towards a comprehensive social and natural scientific forest-recreation monitoring instrument—A prototypical approach

Abstract: Towards a comprehensive social and natural scientific forest-recreation monitoring instrument -A prototypical approach Landscape and Urban Planning 167: 84-97.

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Cited by 38 publications
(24 citation statements)
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“…Nord-Larsen et al 2016). The only country to use NFI data for the creation of indicators and for modelling the relationship between social and biophysical features of forests was Switzerland (Fisher and Fischer and Brändli 2017;Hegetschweiler et al 2017). No analysis has yet been published by any other.…”
Section: Political Context Reporting and Analysis And Impactmentioning
confidence: 99%
“…Nord-Larsen et al 2016). The only country to use NFI data for the creation of indicators and for modelling the relationship between social and biophysical features of forests was Switzerland (Fisher and Fischer and Brändli 2017;Hegetschweiler et al 2017). No analysis has yet been published by any other.…”
Section: Political Context Reporting and Analysis And Impactmentioning
confidence: 99%
“…Sievänen (2013) highlighted the need for further development of social indicators in the monitoring and management of sustainable forestry and forest use. NFI sample plots could also contribute to the provision of information aimed at integrating this social dimension of forests (Hegetschweiler et al 2017;Jensen et al 2008), although considerable effort would be required to integrate this aspect in most of the European NFIs (Sievänen 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Stand structural indicators such as Shannon-index of dbh classes and density of large trees as well as indicators of tree species diversity, such as the Shannon index, number of tree species, or conifer proportion can be used as proxies for various aspects of biodiversity. Stand-structural and -compositional characteristics associated with high quality for recreation become increasingly available, especially at the local scale [65], such that MASSIMO could potentially be used to assess management policy impacts on forest recreational values. However, the applications of such indicators requires an accurate simulation of forest dynamics such that limitations in MASSIMO also limit the interpretation of indicators.…”
Section: Future Developmentmentioning
confidence: 99%