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Towards the identification and mapping of traditional agricultural landscapes at the national scale: an inventory approach from Italy

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  • Laura Zavattero
  • Raffaella Frondoni
  • Giulia Capotorti
  • Riccardo Copiz
  • Carlo Blasi

Abstract

This paper presents an original approach for identifying and mapping agricultural landscapes that are highly representative of different biogeographical and natural settings and likely to be traditional, at the national scale. In the case study of Italy, we used national land cover data of different dates to examine composition of agricultural types and their persistence over time while we employed national stratifications into ecoregions and potential natural vegetation (PNV) to include environmental representativeness. Implementing the procedure returned 120 landscapes, which are distributed across all ecoregions and 51% of the PNV types. Most landscapes match areas with certified and traditional produce (93%) and relevant potential vegetation (86%), whereas 30% overlap acknowledged historical rural landscapes. These results show that our approach highlights the coevolutionary process between traditional crops and the underlying environmental framework and, therefore, provides an ecologically sound coarse filter for selecting and mapping traditional agricultural landscapes.

Suggested Citation

  • Laura Zavattero & Raffaella Frondoni & Giulia Capotorti & Riccardo Copiz & Carlo Blasi, 2021. "Towards the identification and mapping of traditional agricultural landscapes at the national scale: an inventory approach from Italy," Landscape Research, Taylor & Francis Journals, vol. 46(7), pages 945-958, October.
    • Handle: RePEc:taf:clarxx:v:46:y:2021:i:7:p:945-958
    DOI: 10.1080/01426397.2021.1923678
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    Cited by:

    1. Giulia Capotorti & Simone Valeri & Arianna Giannini & Valerio Minorenti & Mariagrazia Piarulli & Paolo Audisio, 2023. "On the Role of Natural and Induced Landscape Heterogeneity for the Support of Pollinators: A Green Infrastructure Perspective Applied in a Peri-Urban System," Land, MDPI, vol. 12(2), pages 1-29, January.
    2. Simone Valeri & Laura Zavattero & Giulia Capotorti, 2021. "Ecological Connectivity in Agricultural Green Infrastructure: Suggested Criteria for Fine Scale Assessment and Planning," Land, MDPI, vol. 10(8), pages 1-16, July.
    3. Xiangrui Xiong & Yanhui Wang & Melisa Pesoa-Marcilla & Joaquín Sabaté-Bel, 2022. "Dependence on Mountains and Water: Local Characteristics and Regeneration Patterns of Rural Industrial Heritage in China," Land, MDPI, vol. 11(8), pages 1-22, August.
    4. Simone Valeri & Giulia Capotorti, 2023. "Linking Green Infrastructure Deployment Needs and Agroecosystem Conditions for the Improvement of the Natura2000 Network: Preliminary Investigations in W Mediterranean Europe," Sustainability, MDPI, vol. 15(13), pages 1-33, June.

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