Economics at your fingertips  

Application of stated-preferences methods and neuroscience for the valuation of dynamicity in forest cultural ecosystem services

Gianluca Grilli, Elena Barbierato, Irene Capecchi and Sandro Sacchelli

Journal of Environmental Planning and Management, 2022, vol. 65, issue 3, 398-417

Abstract: In this study, we combined virtual reality and electroencephalogram (EEG) methods in a lab setting to evaluate the restorative effects of forests on the mental state. In doing so, we compared forests in different vegetative seasons, varying types of forest stands, and forest densities. Twenty participants were exposed to videos of forests with different tree species compositions and cover densities across two seasons. At the same time, participants were monitored with an EEG device that recorded brain waves associated with the emotional mental state to understand varying levels of restoration associated with the different forest species. The EEG analysis was coupled with a self-rated measure of restoration, collected using the Restoration Outcome Scale and visual indexes of greenness. The results indicated that restorative effects were higher in summer season with high-density cover of forests composed of black pine. It was also found that restoration was affected by the degree of greenness, as suggested by its correlation with brain waves. These results, integrated with future suggestions for improvement, can be useful for forest management and territorial marketing to design dedicated forested areas for the purposes of restoration and the enhancement of mood state.

Date: 2022
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1080/09640568.2021.1885354

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

Page updated 2022-02-03
Handle: RePEc:taf:jenpmg:v:65:y:2022:i:3:p:398-417