Relating landscape ecological metrics with public survey data on perceived landscape quality and place attachment

Journal article

Context It is essential for policy-making and planning that we understand landscapes not only in terms of landscape ecological patterns, but also in terms of their contribution to people's quality of life. Objectives In this study our objective is to test relationships between landscape ecology and social science indicators, by investigating how landscape patterns are linked to people’s perception of landscape quality. Methods To assess public views on landscapes we conducted a survey among 858 respondents in Switzerland. We combined this survey data on perceived landscape quality and place attachment with landscape metrics (e.g. diversity, naturalness of land cover, urban sprawl, fragmentation) in a statistical model to test hypotheses about the relationships between the different variables of interest. Results Our results illustrate the contribution of both landscape composition metrics and social science indicators to understanding variation in people’s perception and assessment of landscape. For example, we found the landscape ecology metrics on urban sprawl and fragmentation to be a negative predictor of overall satisfaction with landscape, and that perceived landscape quality positively predicted place attachment and satisfaction with the municipality landscape. Conclusions This study highlights the importance and feasibility of combining landscape ecology metrics and public survey data on how people perceive, value and relate to landscape in an integrated manner. Our approach has the potential for implementation across a variety of settings and can contribute to holistic and integrated landscape assessments that combine ecological and socio-cultural aspects

Authors: Wartmann, FM; Stride, CB; Kienast, F; Hunziker, M

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Journal: Landscape Ecology
• Volume: 36
• Issue: 8
• Pages: 2367-2393
• Publication date: 2021-07-06
• DOI: 10.1007/s10980-021-01290-y
• EISSN: 1572-9761
• ISSN: 0921-2973
• Language: English
• Keywords: Landscape epidemiology; Environmental resource management; Urban planning; Ecotope; Landscape design; Geography; Urban sprawl; Place identity; Landscape planning; Landscape archaeology; Habitat; Landscape assessment; Environmental planning; Environmental science; Landscape ecology; Ecology; Land use; Animal ecology