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Drivers of European landscape change: stakeholders’ perspectives through Fuzzy Cognitive Mapping

Author

Listed:
  • Theo van der Sluis
  • Bas Arts
  • Kasper Kok
  • Marion Bogers
  • Anne Gravsholt Busck
  • Kalev Sepp
  • Isabel Loupa-Ramos
  • Vangelis Pavlis
  • Nicoleta Geamana
  • Emilie Crouzat

Abstract

Understanding complex processes of landscape change is crucial to guide the development of future landscapes and land resources. Through Fuzzy Cognitive Mapping, we studied the processes of landscape change of six different environmental zones in Europe. Results show that landscapes are complex systems, with many interactions. Except for one, all regions show a strong decline in landscape quality. Dominant drivers are EU policy and the global economy, sometimes in conjunction with environmental drivers or the governance system. The process of change differs for all cases, through urbanisation or land abandonment in some cases, and agricultural intensification in others. The (un)intended effects of policies are difficult to predict. Although some EU Policies directly improve landscape quality, their indirect effects as well as other EU policies outweigh this positive influence and jointly result in a decrease of landscape quality. To counter these negative side effects, targeted landscape policies are urgently needed.

Suggested Citation

  • Theo van der Sluis & Bas Arts & Kasper Kok & Marion Bogers & Anne Gravsholt Busck & Kalev Sepp & Isabel Loupa-Ramos & Vangelis Pavlis & Nicoleta Geamana & Emilie Crouzat, 2019. "Drivers of European landscape change: stakeholders’ perspectives through Fuzzy Cognitive Mapping," Landscape Research, Taylor & Francis Journals, vol. 44(4), pages 458-476, May.
    • Handle: RePEc:taf:clarxx:v:44:y:2019:i:4:p:458-476
    DOI: 10.1080/01426397.2018.1446074
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    Cited by:

    1. Dou, Yue & Silva, Ramon Felipe Bicudo da & Batistella, Mateus & Torres, Sara & Moran, Emilio & Liu, Jianguo, 2023. "Mapping crop producer perceptions: The role of global drivers on local agricultural land use in Brazil," Land Use Policy, Elsevier, vol. 133(C).
    2. Armands Auzins & Uchendu Eugene Chigbu, 2021. "Values-Led Planning Approach in Spatial Development: A Methodology," Land, MDPI, vol. 10(5), pages 1-19, April.
    3. Stamatia Nasiakou & Michael Vrahnakis & Dimitrios Chouvardas & Georgios Mamanis & Vassiliki Kleftoyanni, 2022. "Land Use Changes for Investments in Silvoarable Agriculture Projected by the CLUE-S Spatio-Temporal Model," Land, MDPI, vol. 11(5), pages 1-23, April.
    4. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    5. Laurenţiu-Andrei Ilie & Laura Comănescu & Robert Dobre & Alexandru Nedelea & Ionuț Săvulescu & Ioana-Alexandra Bradea & Marcel Ioan Boloș, 2020. "Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania)," Sustainability, MDPI, vol. 12(2), pages 1-13, January.

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