Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region

Jinlai Song; Daniele Cannatella; Nikos Katsikis

doi:10.1007/978-3-031-37117-2_23

Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region

Jinlai Song, Daniele Cannatella^*, Nikos Katsikis

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

18 Downloads (Pure)

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.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings
Editors	Osvaldo Gervasi, Beniamino Murgante, Francesco Scorza, Ana Maria A. C. Rocha, Chiara Garau, Yeliz Karaca, Carmelo M. Torre
Publisher	Springer
Pages	328-344
Number of pages	17
ISBN (Print)	978-3-031-37116-5
DOIs	https://doi.org/10.1007/978-3-031-37117-2_23
Publication status	Published - 2023
Event	23rd International Conference on Computational Science and Its Applications, ICCSA 2023 - Athens, Greece Duration: 3 Jul 2023 → 6 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14108 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Computational Science and Its Applications, ICCSA 2023
Country/Territory	Greece
City	Athens
Period	3/07/23 → 6/07/23

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

Keywords

fire management
land cover
landscape dynamics
Mediterranean land system
wildfire regimes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-37117-2_23

978-3-031-37117-2_23Final published version, 2.36 MB

Cite this

Song, J., Cannatella, D., & Katsikis, N. (2023). Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region. In O. Gervasi, B. Murgante, F. Scorza, A. M. A. C. Rocha, C. Garau, Y. Karaca, & C. M. Torre (Eds.), Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings (pp. 328-344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14108 LNCS). Springer. https://doi.org/10.1007/978-3-031-37117-2_23

Song, Jinlai ; Cannatella, Daniele ; Katsikis, Nikos. / Landscape-Based Fire Resilience : Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region. Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. editor / Osvaldo Gervasi ; Beniamino Murgante ; Francesco Scorza ; Ana Maria A. C. Rocha ; Chiara Garau ; Yeliz Karaca ; Carmelo M. Torre. Springer, 2023. pp. 328-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6e130916703b4f7ba0bf89e8fb10b9e6,

title = "Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region",

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.",

keywords = "fire management, land cover, landscape dynamics, Mediterranean land system, wildfire regimes",

author = "Jinlai Song and Daniele Cannatella and Nikos Katsikis",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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; 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 ; Conference date: 03-07-2023 Through 06-07-2023",

year = "2023",

doi = "10.1007/978-3-031-37117-2_23",

language = "English",

isbn = "978-3-031-37116-5",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "328--344",

editor = "Osvaldo Gervasi and Beniamino Murgante and Francesco Scorza and Rocha, {Ana Maria A. C.} and Chiara Garau and Yeliz Karaca and Torre, {Carmelo M.}",

booktitle = "Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings",

}

Song, J, Cannatella, D & Katsikis, N 2023, Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region. in O Gervasi, B Murgante, F Scorza, AMAC Rocha, C Garau, Y Karaca & CM Torre (eds), Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14108 LNCS, Springer, pp. 328-344, 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, Athens, Greece, 3/07/23. https://doi.org/10.1007/978-3-031-37117-2_23

Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region. / Song, Jinlai; Cannatella, Daniele ; Katsikis, Nikos.
Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Francesco Scorza; Ana Maria A. C. Rocha; Chiara Garau; Yeliz Karaca; Carmelo M. Torre. Springer, 2023. p. 328-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14108 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Landscape-Based Fire Resilience

T2 - 23rd International Conference on Computational Science and Its Applications, ICCSA 2023

AU - Song, Jinlai

AU - Cannatella, Daniele

AU - Katsikis, Nikos

N1 - 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

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - fire management

KW - land cover

KW - landscape dynamics

KW - Mediterranean land system

KW - wildfire regimes

UR - http://www.scopus.com/inward/record.url?scp=85165087564&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-37117-2_23

DO - 10.1007/978-3-031-37117-2_23

M3 - Conference contribution

AN - SCOPUS:85165087564

SN - 978-3-031-37116-5

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 328

EP - 344

BT - Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Scorza, Francesco

A2 - Rocha, Ana Maria A. C.

A2 - Garau, Chiara

A2 - Karaca, Yeliz

A2 - Torre, Carmelo M.

PB - Springer

Y2 - 3 July 2023 through 6 July 2023

ER -

Song J, Cannatella D , Katsikis N. Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region. In Gervasi O, Murgante B, Scorza F, Rocha AMAC, Garau C, Karaca Y, Torre CM, editors, Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. Springer. 2023. p. 328-344. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-37117-2_23

Landscape-Based Fire Resilience: Identifying Interaction Between Landscape Dynamics and Fire Regimes in the Mediterranean Region

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this