IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i9d10.1007_s11069-025-07227-x.html
   My bibliography  Save this article

Forest fire management and fire suppression strategies: a systematic literature review

Author

Listed:
  • Burcu Tezcan

    (Kırıkkale University)

  • Tamer Eren

    (Kırıkkale University)

Abstract

Forest ecology focuses on the structure, functions, and ecosystem services of forests, which is crucial for understanding the impacts of forest fires on these systems. Forest fires not only have a negative impact on forests but also threaten their sustainability. Therefore, when a forest fire occurs, resources must be planned effectively. By improving this planning, the negative effects can be mitigated. Consequently, such planning is crucial if there is limited data on the fire history of the area. This study aims to provide a systematic literature review by examining research on wildfire resource optimization. For this purpose, a systematic review of 92 selected articles from the Web of Science database has been presented. These studies were thoroughly examined, and those not related to the topic were excluded. In this context, a systematic literature review on wildfire resource optimization has been conducted for the first time.

Suggested Citation

  • Burcu Tezcan & Tamer Eren, 2025. "Forest fire management and fire suppression strategies: a systematic literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(9), pages 10485-10515, May.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:9:d:10.1007_s11069-025-07227-x
    DOI: 10.1007/s11069-025-07227-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-025-07227-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-025-07227-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Tapia, Tomás & Lorca, Álvaro & Olivares, Daniel & Negrete-Pincetic, Matías & Lamadrid L, Alberto J., 2021. "A robust decision-support method based on optimization and simulation for wildfire resilience in highly renewable power systems," European Journal of Operational Research, Elsevier, vol. 294(2), pages 723-733.
    2. Avci, Mualla Gonca & Avci, Mustafa & Battarra, Maria & Erdoğan, Güneş, 2024. "The wildfire suppression problem with multiple types of resources," European Journal of Operational Research, Elsevier, vol. 316(2), pages 488-502.
    3. Wang, Weiqiao & Yang, Kai & Yang, Lixing & Gao, Ziyou, 2023. "Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations," Omega, Elsevier, vol. 120(C).
    4. Bertsimas, Dimitris & Griffith, J. Daniel & Gupta, Vishal & Kochenderfer, Mykel J. & Mišić, Velibor V., 2017. "A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems," European Journal of Operational Research, Elsevier, vol. 263(2), pages 664-678.
    5. Dimopoulou, Maria & Giannikos, Ioannis, 2004. "Towards an integrated framework for forest fire control," European Journal of Operational Research, Elsevier, vol. 152(2), pages 476-486, January.
    6. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    7. Daniel Suarez & Camilo Gomez & Andrés L. Medaglia & Raha Akhavan-Tabatabaei & Sthefania Grajales, 2024. "Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management," Information Systems Research, INFORMS, vol. 35(2), pages 609-628, June.
    8. Bhuiyan, Tanveer Hossain & Moseley, Maxwell C. & Medal, Hugh R. & Rashidi, Eghbal & Grala, Robert K., 2019. "A stochastic programming model with endogenous uncertainty for incentivizing fuel reduction treatment under uncertain landowner behavior," European Journal of Operational Research, Elsevier, vol. 277(2), pages 699-718.
    9. Gerald G. Brown & Robert A. Koyak & Javier Salmerón & Zachary Scholz, 2021. "Optimizing Prepositioning of Equipment and Personnel for Los Angeles County Fire Department to Fight Wildland Fires," Interfaces, INFORMS, vol. 51(6), pages 435-449, November.
    10. Shahparvari, Shahrooz & Abbasi, Babak & Chhetri, Prem, 2017. "Possibilistic scheduling routing for short-notice bushfire emergency evacuation under uncertainties: An Australian case study," Omega, Elsevier, vol. 72(C), pages 96-117.
    11. Bashiri, Mahdi & Nikzad, Erfaneh & Eberhard, Andrew & Hearne, John & Oliveira, Fabricio, 2021. "A two stage stochastic programming for asset protection routing and a solution algorithm based on the Progressive Hedging algorithm," Omega, Elsevier, vol. 104(C).
    12. João António Zeferino, 2020. "Optimizing the location of aerial resources to combat wildfires: a case study of Portugal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(3), pages 1195-1213, February.
    13. Rashidi, Eghbal & Medal, Hugh & Gordon, Jason & Grala, Robert & Varner, Morgan, 2017. "A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: Assessing the worst-case scenario," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1095-1105.
    14. Skorin-Kapov, Nina & Mesarić, Luka & García, Fernando Pereñíguez & Skorin-Kapov, Lea, 2024. "Scheduling aerial resource operations for the extinction of large-scale wildfires," Omega, Elsevier, vol. 122(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Skorin-Kapov, Nina & Mesarić, Luka & García, Fernando Pereñíguez & Skorin-Kapov, Lea, 2024. "Scheduling aerial resource operations for the extinction of large-scale wildfires," Omega, Elsevier, vol. 122(C).
    2. Avci, Mualla Gonca & Avci, Mustafa & Battarra, Maria & Erdoğan, Güneş, 2024. "The wildfire suppression problem with multiple types of resources," European Journal of Operational Research, Elsevier, vol. 316(2), pages 488-502.
    3. Yang, Wenjie & Caunhye, Aakil M. & Zhuo, Maolin & Wang, Qingyi, 2024. "Integrated planning of emergency supply pre-positioning and victim evacuation," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    4. Afkham, Maryam & Ramezanian, Reza & Shahparvari, Shahrooz, 2022. "Balancing traffic flow in the congested mass self-evacuation dynamic network under tight preparation budget: An Australian bushfire practice," Omega, Elsevier, vol. 111(C).
    5. Tschernutter, Daniel & Feuerriegel, Stefan, 2025. "Data-driven dynamic police patrolling: An efficient Monte Carlo tree search," European Journal of Operational Research, Elsevier, vol. 321(1), pages 177-191.
    6. Jingyi Xue, 2018. "Fair division with uncertain needs," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 51(1), pages 105-136, June.
    7. Araya-Córdova, P.J. & Vásquez, Óscar C., 2018. "The disaster emergency unit scheduling problem to control wildfires," International Journal of Production Economics, Elsevier, vol. 200(C), pages 311-317.
    8. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    9. Wei Wang & Li Huang & Zhaoxia Guo, 2017. "Optimization of Emergency Material Dispatch from Multiple Depot Locations to Multiple Disaster Sites," Sustainability, MDPI, vol. 9(11), pages 1-8, October.
    10. Hu, Yuzhen & Wang, Min & Guo, Xinghai & Lukinykh, Valery F., 2025. "Pre-occurrence location-allocation-configuration of maritime emergency resources considering shipborne unmanned aerial vehicle (UAV)," Omega, Elsevier, vol. 131(C).
    11. Miren Bilbao & Sergio Gil-López & Javier Ser & Sancho Salcedo-Sanz & Mikel Sánchez-Ponte & Antonio Arana-Castro, 2014. "Novel hybrid heuristics for an extension of the dynamic relay deployment problem over disaster areas," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 997-1016, October.
    12. Xiaolei Zhang & Kaigong Zhao & Xingkai Zhang & Shang Gao & Ting Meng, 2025. "Research on Emergency Rescue Scheme Based on Multi-Objective Material Dispatching of Heavy-Haul Railway," Sustainability, MDPI, vol. 17(5), pages 1-17, February.
    13. Khakzad, Nima, 2021. "Optimal firefighting to prevent domino effects: Methodologies based on dynamic influence diagram and mathematical programming," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    14. Bhuiyan, Tanveer Hossain & Medal, Hugh R. & Harun, Sarah, 2020. "A stochastic programming model with endogenous and exogenous uncertainty for reliable network design under random disruption," European Journal of Operational Research, Elsevier, vol. 285(2), pages 670-694.
    15. Bibiana Granda & Begoña Vitoriano & José Rui Figueira, 2025. "A mathematical programming approach for a wildfire suppression problem," Operational Research, Springer, vol. 25(1), pages 1-27, March.
    16. Bowen Guo & Wei Zhan, 2023. "Research on Integrated Scheduling of Multi-Mode Emergency Rescue for Flooding in Chemical Parks," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    17. Ling Tan & Ji Guo & Selvarajah Mohanarajah & Kun Zhou, 2021. "Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2389-2417, July.
    18. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).
    19. Qin Liu & Tiange Shi, 2019. "Spatiotemporal Differentiation and the Factors of Ecological Vulnerability in the Toutun River Basin Based on Remote Sensing Data," Sustainability, MDPI, vol. 11(15), pages 1-19, August.
    20. Fatemeh Sabouhi & Ali Bozorgi-Amiri & Mohammad Moshref-Javadi & Mehdi Heydari, 2019. "An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study," Annals of Operations Research, Springer, vol. 283(1), pages 643-677, December.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:9:d:10.1007_s11069-025-07227-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.