Landscape perception : linking physical monitoring data to perceived landscape properties

Changes in the landscape affect not only people’s well-being but also how people perceive and use the landscape. An increasing number of policies have highlighted the importance of conserving a landscape’s recreational and aesthetical values. This study develops and evaluates a model that links peop...

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Main Authors: Hedblom, Marcus, Hedenås, Henrik, Blicharska, Malgorzata, Adler, Sven, Knez, Igor, Mikusiński, Grzegorz, Svensson, Johan S., Sandström, Stefan, Sandström, Per, Wardle, David A.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150422
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1504222023-02-28T16:42:23Z Landscape perception : linking physical monitoring data to perceived landscape properties Hedblom, Marcus Hedenås, Henrik Blicharska, Malgorzata Adler, Sven Knez, Igor Mikusiński, Grzegorz Svensson, Johan S. Sandström, Stefan Sandström, Per Wardle, David A. Asian School of the Environment Engineering::Environmental engineering Landscape Preference Mountain Landscape Changes in the landscape affect not only people’s well-being but also how people perceive and use the landscape. An increasing number of policies have highlighted the importance of conserving a landscape’s recreational and aesthetical values. This study develops and evaluates a model that links people’s perceptions of a mountain landscape to physical monitoring data. Using a questionnaire, we revealed how respondents working with the Swedish mountains characterise the Magnificent Mountain landscape (as defined by Swedish policy objectives) and translated these characteristics into data from the National Inventory of Landscapes in Sweden (NILS). We found 14 potential indicators that could be derived from the existing NILS physical monitoring data and which could be used to monitor changes in the landscape values as perceived by people. Based on the results, we suggest how to simultaneously utilise field sampling of physical data and field photos to provide temporal information about landscape perception. Published version This project was financed by the Swedish Environmental Protection Agency, Grant number NV-06586-13 (National monitoring for assessing and evaluating ecosystem services in Fennoscandian alpine and boreal landscapes). 2021-05-24T06:43:31Z 2021-05-24T06:43:31Z 2019 Journal Article Hedblom, M., Hedenås, H., Blicharska, M., Adler, S., Knez, I., Mikusiński, G., Svensson, J. S., Sandström, S., Sandström, P. & Wardle, D. A. (2019). Landscape perception : linking physical monitoring data to perceived landscape properties. Landscape Research, 45(2), 179-192. https://dx.doi.org/10.1080/01426397.2019.1611751 0142-6397 https://hdl.handle.net/10356/150422 10.1080/01426397.2019.1611751 2-s2.0-85066913378 2 45 179 192 en Landscape Research © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Environmental engineering
Landscape Preference
Mountain Landscape
spellingShingle Engineering::Environmental engineering
Landscape Preference
Mountain Landscape
Hedblom, Marcus
Hedenås, Henrik
Blicharska, Malgorzata
Adler, Sven
Knez, Igor
Mikusiński, Grzegorz
Svensson, Johan S.
Sandström, Stefan
Sandström, Per
Wardle, David A.
Landscape perception : linking physical monitoring data to perceived landscape properties
description Changes in the landscape affect not only people’s well-being but also how people perceive and use the landscape. An increasing number of policies have highlighted the importance of conserving a landscape’s recreational and aesthetical values. This study develops and evaluates a model that links people’s perceptions of a mountain landscape to physical monitoring data. Using a questionnaire, we revealed how respondents working with the Swedish mountains characterise the Magnificent Mountain landscape (as defined by Swedish policy objectives) and translated these characteristics into data from the National Inventory of Landscapes in Sweden (NILS). We found 14 potential indicators that could be derived from the existing NILS physical monitoring data and which could be used to monitor changes in the landscape values as perceived by people. Based on the results, we suggest how to simultaneously utilise field sampling of physical data and field photos to provide temporal information about landscape perception.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Hedblom, Marcus
Hedenås, Henrik
Blicharska, Malgorzata
Adler, Sven
Knez, Igor
Mikusiński, Grzegorz
Svensson, Johan S.
Sandström, Stefan
Sandström, Per
Wardle, David A.
format Article
author Hedblom, Marcus
Hedenås, Henrik
Blicharska, Malgorzata
Adler, Sven
Knez, Igor
Mikusiński, Grzegorz
Svensson, Johan S.
Sandström, Stefan
Sandström, Per
Wardle, David A.
author_sort Hedblom, Marcus
title Landscape perception : linking physical monitoring data to perceived landscape properties
title_short Landscape perception : linking physical monitoring data to perceived landscape properties
title_full Landscape perception : linking physical monitoring data to perceived landscape properties
title_fullStr Landscape perception : linking physical monitoring data to perceived landscape properties
title_full_unstemmed Landscape perception : linking physical monitoring data to perceived landscape properties
title_sort landscape perception : linking physical monitoring data to perceived landscape properties
publishDate 2021
url https://hdl.handle.net/10356/150422
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