IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i13d10.1007_s11069-025-07399-6.html
   My bibliography  Save this article

A multi-hazard map-based wildfires and gully erosion in a Mediterranean mountain environment

Author

Listed:
  • Bruno Martins

    (University of Coimbra)

  • Catarina Pinheiro

    (University of Minho
    University of Porto)

  • Carlos Hermenegildo

    (Lusofona University of Porto)

  • Adélia Nunes

    (University of Coimbra)

  • António Bento-Gonçalves

    (University of Minho)

  • Manuela Laranjeira

    (University of Minho)

Abstract

One region may suffer from more than one natural hazard. Wildfires and gully erosion are common in a Mediterranean mountain environment, as well as in the Portuguese mountains. In this context, integrated assessments of multi-hazards, especially related with wildfires and gully erosion are needed for more efficient land management. The main aim of this study is producing a multi-hazard map that helps the planners to identify priority action areas to implement hazard mitigation and disaster management measures. The study area is located in the Alva river basin, in the mountainous area of central Portugal, which is frequently affected by wildfires and also by gully erosion. The follow objectives were performed to achieve the main aim: i) to draw up a wildfire hazard map for the studied area; ii) to identify, map and characterise the areas affected by gully erosion; iii) to analyse the main geo-environmental factors that control gully distribution based on frequency ratio (FR) model and Maximum Entropy (MaxEnt) method; iv) to draw up a gully erosion hazard maps based on FR and MaxEnt method and assess the accuracy of the two models; v) produce a multi-hazard map where priority areas for intervention are identified, both in terms of wildfires and gully erosion. The wildfire hazard map was based on the methodology of the Institute for Nature Conservation and Forests (ICNF) (ICNF (2020). Metodologia para a produção da Carta de Perigosidade de Incêndio Rural de cariz estrutural. Relatório definitivo, Lisboa, p. 7.). Gully erosion inventory map was prepared using orthophoto maps and a total of 38 gullies were identified. The hazard maps of gully erosion were developed by applying FR and MaxEnt methods considering a set of 13 geo-environmental factors (such as altitude, slope, curvature, aspect, flow accumulation, terrain ruggedness index, land use, road distance, and burn severity). The overall success rate of AUC of 68.7 and 70.4% were obtained for FR and MaxEnt model, respectively. Finally, the wildfire hazard map and the gully hazard map were used to produce the multi-hazard map (MHM). The MHM places around 36% of the study area in areas of moderate hazard, while more than half of the study area is in areas of high and very high hazard. This confirms the high hazard to wildfires and the favourable conditions for gully erosion. The results show the importance and usefulness of using multi-risk methodologies, in particular the combination of the GHM (gully hazard map) and WHM (wildfire hazard map) for more effective soil conservation management in areas affected by wildfires.

Suggested Citation

  • Bruno Martins & Catarina Pinheiro & Carlos Hermenegildo & Adélia Nunes & António Bento-Gonçalves & Manuela Laranjeira, 2025. "A multi-hazard map-based wildfires and gully erosion in a Mediterranean mountain environment," 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(13), pages 15359-15381, July.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07399-6
    DOI: 10.1007/s11069-025-07399-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-025-07399-6
    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/s11069-025-07399-6?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. Hariklia D. Skilodimou & George D. Bathrellos & Dimitrios E. Alexakis, 2021. "Flood Hazard Assessment Mapping in Burned and Urban Areas," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    2. Bruno Martins & Adélia Nunes & Ana Meira-Castro & Luciano Lourenço & Carlos Hermenegildo, 2022. "Local Factors Controlling Gully Development in a Mediterranean Environment," Land, MDPI, vol. 11(2), pages 1-13, January.
    3. Majid Mohammady, 2023. "Badland erosion susceptibility mapping using machine learning data mining techniques, Firozkuh watershed, 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. 117(1), pages 703-721, May.
    4. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a 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. 64(2), pages 1925-1958, November.
    5. Massimo Conforti & Pietro Aucelli & Gaetano Robustelli & Fabio Scarciglia, 2011. "Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)," 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. 56(3), pages 881-898, March.
    6. Dieu Tien Bui & Biswajeet Pradhan & Owe Lofman & Inge Revhaug, 2012. "Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-26, July.
    7. Álvaro Gómez-Gutiérrez & Christian Conoscenti & Silvia Angileri & Edoardo Rotigliano & Susanne Schnabel, 2015. "Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations," 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. 79(1), pages 291-314, November.
    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. Ali Azedou & Said Lahssini & Abdellatif Khattabi & Modeste Meliho & Nabil Rifai, 2021. "A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)," Sustainability, MDPI, vol. 13(2), pages 1-30, January.
    2. Hamed Ahmadpour & Ommolbanin Bazrafshan & Elham Rafiei-Sardooi & Hossein Zamani & Thomas Panagopoulos, 2021. "Gully Erosion Susceptibility Assessment in the Kondoran Watershed Using Machine Learning Algorithms and the Boruta Feature Selection," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    3. Chaofeng Shao & Juan Yang & Xiaogang Tian & Meiting Ju & Lei Huang, 2013. "Integrated Environmental Risk Assessment and Whole-Process Management System in Chemical Industry Parks," IJERPH, MDPI, vol. 10(4), pages 1-22, April.
    4. Jinzhao Li & Meilan Qi, 2015. "Local scour induced by upstream riverbed level lowering," 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. 77(3), pages 1811-1827, July.
    5. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    6. Dylan Sanderson & Sabarethinam Kameshwar & Nathanael Rosenheim & Daniel Cox, 2021. "Deaggregation of multi-hazard damages, losses, risks, and connectivity: an application to the joint seismic-tsunami hazard at Seaside, Oregon," 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. 109(2), pages 1821-1847, November.
    7. Nur Syabeera Begum Nasir Ahmad & Firuza Begham Mustafa & Safiah Yusmah Muhammad Yusoff, 2024. "Spatial prediction of soil erosion risk using knowledge-driven method in Malaysia’s Steepland Agriculture Forested Valley," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 15333-15359, June.
    8. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    9. Christopher T. Emrich & Yao Zhou & Sanam K. Aksha & Herbert E. Longenecker, 2022. "Creating a Nationwide Composite Hazard Index Using Empirically Based Threat Assessment Approaches Applied to Open Geospatial Data," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    10. Insang Yu & Kiyong Park & Eui Hoon Lee, 2021. "Flood Risk Analysis by Building Use in Urban Planning for Disaster Risk Reduction and Climate Change Adaptation," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    11. Antonio Tomás Mozas-Calvache & Julio Antonio Calero González & Theo Guerra Dug & Tomas Manuel Fernández del Castillo, 2023. "Methodology for Determining Gully Widths in Multi-Temporal Studies in Olive Groves of Southern Spain," Land, MDPI, vol. 12(6), pages 1-15, May.
    12. Jiajun Wang & Zhichao He & Wenguo Weng, 2020. "A review of the research into the relations between hazards in multi-hazard risk analysis," 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(3), pages 2003-2026, December.
    13. Christoph Aubrecht & Sven Fuchs & Clemens Neuhold, 2013. "Spatio-temporal aspects and dimensions in integrated disaster risk management," 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. 68(3), pages 1205-1216, September.
    14. Hariklia D. Skilodimou & George D. Bathrellos, 2021. "Natural and Technological Hazards in Urban Areas: Assessment, Planning and Solutions," Sustainability, MDPI, vol. 13(15), pages 1-5, July.
    15. Liuelsegad Belayneh & Matthieu Kervyn & Guchie Gulie & Jean Poesen & Cornelis Stal & Alemayehu Kasaye & Tizita Endale & John Sekajugo & Olivier Dewitte, 2024. "Life cycle of gullies: a susceptibility assessment in the Southern Main Ethiopian Rift," 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. 120(3), pages 3067-3104, February.
    16. Songtao Yu & Yuxian Ke & Qian Kang & Wenzhe Jin & Haifeng Zhong & Danyan Cheng & Fading Wu & Hongwei Deng, 2025. "Disaster Chain Evolution and Risk Mitigation in Non-Coal Underground Mines with Fault Zones: A Complex Network Approach," Sustainability, MDPI, vol. 17(12), pages 1-21, June.
    17. Rui-Xuan Tang & E-Chuan Yan & Tao Wen & Xiao-Meng Yin & Wei Tang, 2021. "Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    18. Ramona ȚIGĂNAȘU & Alina NICUȚĂ, 2022. "Shocks, hazard risk management and resilience from an institutional outlook: what lessons for a (smart) city?," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13(4), pages 329-346, January.
    19. Casey Zuzak & Matthew Mowrer & Emily Goodenough & Jordan Burns & Nicholas Ranalli & Jesse Rozelle, 2022. "The national risk index: establishing a nationwide baseline for natural hazard risk in the US," 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(2), pages 2331-2355, November.
    20. Johanna Ludvigsen & Ronny Klæboe, 2014. "Extreme weather impacts on freight railways in Europe," 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. 70(1), pages 767-787, January.

    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:13:d:10.1007_s11069-025-07399-6. 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.