Landscape-Based Fire Resilience

Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region

Conference Paper (2023)
Author(s)

Jinlai Song (Student TU Delft)

D. Cannatella (TU Delft - Urban Data Science)

N. Katsikis (TU Delft - Urban Design)

Research Group
Urban Data Science
Copyright
© 2023 Jinlai Song, D. Cannatella, N. Katsikis
DOI related publication
https://doi.org/10.1007/978-3-031-37117-2_23
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Jinlai Song, D. Cannatella, N. Katsikis
Research Group
Urban Data Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public@en
Pages (from-to)
328-344
ISBN (print)
978-3-031-37116-5
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Wildfires are widely viewed as key evolving inputs of Mediterranean ecosystem. But anthropogenic climate changes and other socioecological recessions have transformed normal wildfire into megafire. The paradigm shift is needed since the suppression capacity has been increasingly overcome from the fire department. This research is aiming to integrate diverse landscape dynamics and fire regimes, to interpret the interactions between them and identify a series of heterogeneous fire typologies in the Mediterranean region in order to support the application of landscape-based approaches. By classifying the land system dynamics into meteorologic, physiographic, biological and anthropogenic indicators (in relation with wildfire ignition and propagation), geographic information system based approaches and statistic analysis are applied to create diagnostic mappings. The results establish 10 types of landscape-based fire typologies which can be used as the decision support tool to prioritize risk mechanism and then lead to mitigate wildfire risk by changing contextual territorial elements in landscape system in order to create an integral long time territorial design.

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