IDEAS home Printed from https://ideas.repec.org/a/aem/journl/v9y2023i2p169-191.html

Forest Fires In A Changing Climate: Risk Assessment And Management In Leiria National Forest, Portugal

Author

Listed:
  • Kwadwo YEBOAH BOTAH

Abstract

Forest ecosystems are vital for sustainable development and human well-being globally and in Europe. Sustainably managed forests are fundamental in combating natural disasters and providing multiple important goods and services for humans and the environment. However, with increasing climate change and its associated effects, forests have become severely and regularly prone to fires. This is seriously threatening forest protection, human safety, the economy, and biodiversity. In this context, understanding future forest fire risks, susceptibility, hazards, and fire prevention is essentially needed. This study thus examines the forest fire risks and hazards in Leiria National Forest (Mata Nacional de Leiria), Portugal using the 2017 forest fire as a benchmark. With the adoption of GIS and remote sensing techniques and data, vegetation type (NDMI), human factors (roads and settlement proximity), and terrain characteristics (slope and aspect) were assessed to map fire risk. Through multi-criteria analysis, these data were integrated to generate a forest fire risk index. Results demonstrate that about 46% of the study area is within high-risk and risky zones, 50% is considered moderate-risk fire zones and 3% is classified as low and risk-free zones. Sensitivity analysis indicated that high-risk areas are mostly low moisture coniferous fuel types while risk-free areas are high moisture deciduous fuel types. Further, it was established that the observed high-risk and risky zones are attributed mostly to proximity to settlements and roads and little topographical influence. The study thus suggests an increased future forest fire risk under the prevailing conditions and a hiking potential of increased burnt areas. We thus proposed effective proactive measures and adaptive management approaches to prevent and mitigate the devastating impacts of forest fires within the study location.

Suggested Citation

  • Kwadwo YEBOAH BOTAH, 2023. "Forest Fires In A Changing Climate: Risk Assessment And Management In Leiria National Forest, Portugal," Eastern European Journal for Regional Studies (EEJRS), Center for Studies in European Integration (CSEI), Academy of Economic Studies of Moldova (ASEM), vol. 9(2), pages 169-191, December.
  • Handle: RePEc:aem:journl:v:9:y:2023:i:2:p:169-191
    DOI: https://doi.org/10.53486/2537-6179.9-2.12
    as

    Download full text from publisher

    File URL: https://csei.ase.md/journal/files/issue_92/12_EEJRS_Issue92_169-191.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.53486/2537-6179.9-2.12?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
    ---><---

    References listed on IDEAS

    as
    1. Narissara Nuthammachot & Dimitris Stratoulias, 2021. "Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: method and case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17443-17458, December.
    2. Lin, Jianyi & Rinaldi, Sergio, 2009. "A derivation of the statistical characteristics of forest fires," Ecological Modelling, Elsevier, vol. 220(7), pages 898-903.
    3. Joana Farinha & Lúcio Cunha & Luca Antonio Dimuccio, 2022. "Exploratory Spatial Analysis of Social Vulnerability and Forest Fire Risk in the Pinhal Interior Sul (Central Portugal)," Sustainability, MDPI, vol. 14(5), pages 1-15, March.
    4. Naderpour, Mohsen & Rizeei, Hossein Mojaddadi & Khakzad, Nima & Pradhan, Biswajeet, 2019. "Forest fire induced Natech risk assessment: A survey of geospatial technologies," Reliability Engineering and System Safety, Elsevier, vol. 191(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. Yang, Yunfeng & Chen, Guohua & Reniers, Genserik, 2020. "Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    2. Laraib Ahmad & Sameer Saran, 2024. "Anthropogenic evidences as precursors to forest fire trigger in Western Himalayan Region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16827-16846, July.
    3. Zühal Özcan & İnci Caglayan & Özgür Kabak & Fatmagül Kılıç Gül, 2025. "Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey," 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(1), pages 959-1001, January.
    4. Hongrui Wen & Qiaozhen Guo & Yuhuai Zeng & Zepeng Wu & Zhenhui Sun, 2022. "Study on forest fire risk in Conghua district of Guangzhou city based on multi-source data," 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. 114(3), pages 3163-3183, December.
    5. Rui Xing & Weiyi Ju & Hualiang Lu, 2026. "A comprehensive evaluation model for forest fires based on MCDA and machine learning: A case study of Zhenjiang City, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(2), pages 3447-3475, February.
    6. Caratozzolo, Vincenzo & Misuri, Alessio & Cozzani, Valerio, 2022. "A generalized equipment vulnerability model for the quantitative risk assessment of horizontal vessels involved in Natech scenarios triggered by floods," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    7. Zekeriya Konurhan & Melih Yucesan & Muhammet Gul, 2025. "Investigating forest fire causes through an integrated Bayesian network and geographic information system approach," 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(11), pages 12933-12958, June.
    8. İzzet Ersoy & Emre Ünsal & Önder Gürsoy, 2025. "A Multi-Criteria Forest Fire Danger Assessment System on GIS Using Literature-Based Model and Analytical Hierarchy Process Model for Mediterranean Coast of Manavgat, Türkiye," Sustainability, MDPI, vol. 17(5), pages 1-27, February.
    9. Burcu Tezcan & Tamer Eren, 2025. "Integer programming based on spherical fuzzy AHP and spherical fuzzy TOPSIS for wildfire equipment planning," Environment Systems and Decisions, Springer, vol. 45(3), pages 1-26, September.
    10. Guohua Chen & Qin Yang & Xuexi Chen & Kongxing Huang & Tao Zeng & Zhi Yuan, 2021. "Methodology of Urban Safety and Security Assessment Based on the Overall Risk Management Perspective," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    11. Md. Abdul Moktadir & Sanjoy Kumar Paul & Chunguang Bai & Ernesto D. R. Santibanez Gonzalez, 2025. "The current and future states of MCDM methods in sustainable supply chain risk assessment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 7435-7480, March.
    12. de Benicio, Rosilda B. & Stošić, Tatijana & de Figueirêdo, P.H. & Stošić, Borko D., 2013. "Multifractal behavior of wild-land and forest fire time series in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6367-6374.
    13. Saeedeh Eskandari & Mahdis Amiri & Nitheshnirmal Sãdhasivam & Hamid Reza Pourghasemi, 2020. "Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran," 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. 104(1), pages 305-327, October.
    14. Ricci, Federica & Misuri, Alessio & Scarponi, Giordano Emrys & Cozzani, Valerio & Demichela, Micaela, 2024. "Vulnerability Assessment of Industrial Sites to Interface Fires and Wildfires," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    15. Khakzad, Nima & Cozzani, Valerio, 2020. "Special issue: Quantitative assessment and risk management of Natech accidents," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    16. Mohsen Alawi & Dongzhu Chu, 2025. "Assessing and enhancing public space resilience to pandemics and earthquakes: a case study of Chongqing, China," 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(2), pages 2023-2052, January.
    17. Santos Daniel Chicas & Jonas Østergaard Nielsen, 2022. "Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic 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. 114(3), pages 2417-2434, December.
    18. Wang, Ning & Zhao, Shiyue & Wang, Sutong, 2024. "A novel clustering-based resampling with cost-sensitive boosting method to model and map wildfire susceptibility," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    19. Chaoxue Tan & Zhongke Feng, 2023. "Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    20. Wang, Ning & Xu, Yan & Wang, Sutong, 2022. "Interpretable boosting tree ensemble method for multisource building fire loss prediction," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

    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:aem:journl:v:9:y:2023:i:2:p:169-191. 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: Dr. Rodica CRUDU (email available below). General contact details of provider: https://edirc.repec.org/data/acecsmd.html .

    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.