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How Do Observable Characteristics of Post-Mining Forests Affect Their Attractiveness for Recreation?

Author

Listed:
  • Markéta Braun Kohlová

    (Environment Centre, Charles University, 162 00 Prague, Czech Republic)

  • Petra Nepožitková

    (Environment Centre, Charles University, 162 00 Prague, Czech Republic)

  • Jan Melichar

    (Environment Centre, Charles University, 162 00 Prague, Czech Republic)

Abstract

Afforestation is a popular practice of the recovery of landscape affected by open-cast coal mining. We investigated what impact the observable characteristics of restored forests have on their attractiveness for recreation framed as a one hour walk in a respective type of forest. In this study, we elaborate on some of the observable characteristics which have been previously found in the literature to affect the perceived attractiveness of outdoor environments. Environmental preference data were collected online using a quasi-representative sample of affected and control populations of the Czech Republic ( N = 869). The questionnaire employed visual representations of typical reclaimed forest sites on spoil heaps in the Sokolov mining district. A mediation analysis revealed that forests growing in post-mining areas are perceived more negatively than the typical commercial spruce forest due to their lower permeability, lower level of stewardship, and perceived low safety. However, there are differences in observed characteristics also between different types of restored forests, even when controlling the effect of forest age. The results show for forestry practice that while some of the observed characteristics change by themselves with the increasing age of the forest (permeability, perceived safety, and naturalness of successional forests), improvement in others requires targeted after-care (perceived stewardship). In any case, our results are promising in that they imply that the recreational value of restored forests in post-mining areas may further increase in the future.

Suggested Citation

  • Markéta Braun Kohlová & Petra Nepožitková & Jan Melichar, 2021. "How Do Observable Characteristics of Post-Mining Forests Affect Their Attractiveness for Recreation?," Land, MDPI, vol. 10(9), pages 1-19, August.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:910-:d:623958
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    References listed on IDEAS

    as
    1. Edwards, David & Jay, Marion & Jensen, Frank S. & Lucas, Beatriz & Marzano, Mariella & Montagné, Claire & Peace, Andrew & Weiss, Gerhard, 2012. "Public preferences for structural attributes of forests: Towards a pan-European perspective," Forest Policy and Economics, Elsevier, vol. 19(C), pages 12-19.
    2. Xiaozi Liu & Endre Tvinnereim & Kristine M. Grimsrud & Henrik Lindhjem & Liv Guri Velle & Heidi Iren Saure & Hanna Lee, 2021. "Explaining landscape preference heterogeneity using machine learning-based survey analysis," Landscape Research, Taylor & Francis Journals, vol. 46(3), pages 417-434, April.
    3. David Edwards & Marion Jay & Franck S Jensen & Beatriz Lucas & Mariella Marzano & Claire C. Montagné-Huck & Andrew Peace & Gerhard Weiss, 2012. "Public preferences across europe for different forest stand types as site for recreation," Post-Print hal-02647764, HAL.
    4. Aleksandra Lis & Łukasz Pardela & Wu Can & Anna Katlapa & Łukasz Rąbalski, 2019. "Perceived Danger and Landscape Preferences of Walking Paths with Trees and Shrubs by Women," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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