Ecosystems and People (Dec 2022)

Associations between landscape values, self-reported knowledge, and land-use: a public participation GIS assessment

  • Sara Zaman,
  • Silviya Korpilo,
  • Andra-Ioana Horcea-Milcu,
  • Christopher Raymond

DOI
https://doi.org/10.1080/26395916.2022.2052749
Journal volume & issue
Vol. 18, no. 1
pp. 212 – 225

Abstract

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While previous socio-ecological systems research has shown relationships between local knowledge and the assignment of landscape values, the relationships between value assignment and more nuanced forms of local knowledge remain less understood. This study makes use of public participation geographic information systems (PPGIS), a method for identifying and mapping landscape attributes important to local communities. We use this method to assess the spatial associations between three landscape attributes often overlooked in the PPGIS literature: landscape values, self-reported knowledge about different types of landscape management practices and land-use types. We analyzed responses from residents of Mjölby kommun, Sweden (n = 301) using Monte Carlo simulations and density-based clustering. Overall, we found stronger spatial associations between landscape values and land-use types compared with landscape values and self-reported knowledge about landscape management. For example, significant positive associations were found between aesthetic and recreation values and certain land-use types, but there was no association between these values and self-reported knowledge. The land-use type to which a landscape value is assigned is sometimes supported by self-reported knowledge (especially for underrepresented landscape values), while self-reported knowledge did not provide a conclusive pattern about value assignment on its own. We discuss the implications of using PPGIS in integrated landscape management for building multifunctionality in landscape management by addressing the values of different land-use stakeholders, and the potential benefits of increased inclusivity in forms of local knowledge.

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