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    Chapter Paesaggio, antropologia e storia: eco-memoria, condizione preliminare dei processi di riterritorializzazione

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    Author(s)
    Tarpino, Antonella
    Language
    Italian
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    Abstract
    Eco-memory looks back at the territory along space and time, in the story of how natural systems co-evolve with human settlements in a critical intersection, each time rethought, among man, nature and territories; in order to give visibility and prospects to the many fragile, invisible landscapes that fell off the development axis along the ungoverned industrialisation of the last century. On the one hand, it crosses historiography in a declination of temporal measurement (from the long to the short and very short term) that cannot be subsumed under today’s temporal acceleration, wiping out the past to the point of making territories we live in unrecognisable to our very eyes. On the other, it refers to an anthropology focusing on the spatial dimension and aimed at proposing a revolution of the gaze so as to reread eco-territorial dynamics no longer from the centre (cluttered by the rubble of a systemic crisis) but from the margins, to express new modes of neo-communitarian self-government.
    Book
    Ecoterritorialismo; Ecoterritorialismo
    URI
    https://library.oapen.org/handle/20.500.12657/74950
    Keywords
    Eco-territorialism; man/nature co-evolution; fragile landscapes; margins; neocommunities.
    DOI
    10.36253/979-12-215-0116-2.05
    ISBN
    9791221501162, 9791221501162
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    Florence, 2023
    Series
    Territori, 37
    Classification
    Society and Social Sciences
    Pages
    11
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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