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Assessing the landscape visual quality of Shar Planina, North Macedonia

JOVANOVSKA, Daniela, SWETNAM, Ruth, TWEED, Fiona and Melovski, Ljupcho (2020) Assessing the landscape visual quality of Shar Planina, North Macedonia. Landscape Ecology. ISSN 0921-2973

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Official URL: https://link.springer.com/article/10.1007/s10980-0...

Abstract or description

Context
Landscape quality assessment provides a contextual basis for integrating cultural ecosystem services within landscape management and policy. However, measuring landscape visual quality remains a challenge; especially in the Balkans with its complex environmental and socio-cultural history.
Objectives
In response, we present a first assessment of landscape visual quality across Shar Planina, North Macedonia and test the transferability of a visual quality assessment method (VQI) originally developed to evaluate Northwest European landscapes.
Methods
This study includes remote (GIS) and field assessment. The latter produced quality measures which were summarized, scaled and weighted into an index (0 – 1.0) and served as a ground-truth dataset for subsequent GIS assessment. To assess how spatial scale affects the VQI and what scale is most appropriate to capture perceived landscape quality, the remote assessment was applied at scales ranging from 1 to 5 km2 and results were then correlated to field assessment results.
Results
Values for the field VQI range from 0.2 to 0.82 whilst the values from the remote assessment applied at 1 km2 range from 0.1 to 0.74 and increase to 0.77, 0.84 and 0.86 at 2 km2, 3 km2 and 5 km2 respectively. Strongest correlation between the GIS and the field assessment was observed at 2 km2, which captured detail whilst remaining appropriate to the perceived landscape.
Conclusions
Our research allows consideration of this cultural ecosystem service within the wider conservation efforts on Shar Planina and provides methodological guidelines for assessments of visual quality of mountainous landscapes elsewhere in the region.

Item Type: Article
Faculty: School of Digital, Technologies and Arts > Engineering
Depositing User: Ruth SWETNAM
Date Deposited: 17 Sep 2020 15:28
Last Modified: 12 Apr 2023 09:50
URI: https://eprints.staffs.ac.uk/id/eprint/6549

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