Have a personal or library account? Click to login
Drought models for the study of the vegetation moisture content; analysis of performance of different models in two mediterranean ecosystems for application in forest fire prevention Cover

Drought models for the study of the vegetation moisture content; analysis of performance of different models in two mediterranean ecosystems for application in forest fire prevention

Open Access
|Aug 2025

References

  1. Anderson, S. A. J., Anderson, W. R., 2009: Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels. Canadian Journal of Forest Research, 39: 2355–2368.
  2. Arca, B., Benincasa, F., De Vincenzi, M., Fasano, G., 1998: A Neural model to predict daily minimum of air temperature. In: Conese, C., Falchi, M. A. (eds): Computer Technology in Agricultural Management and Risk Prevention. 7th ICCTA congress Florence 15th–18th November 1998, p. 485–493.
  3. Arganaraz, J., Landi, M., Scavuzzo, C., Bellis, L., 2018: Determining fuel moisture thresholds to assess wild-fire hazard: A contribution to an operational early warning system. PLoS ONE, 13:e0204889.
  4. Ascoli, D., Bovio, G., 2013: Prescribed burning in Italy: issues, advances and challenges. iForest – Biogeo-sciences and Forestry, 6:79–89.
  5. Barazzuoli, P., Bianchi, S., Nocchi, M., Rigati, R., Salle-olini, M., 2006: Studio idrogeologico della pianura costiera di Follonica-Scarlino (Toscana Meridionale). Quaderni di Geologia Applicata, 13:19–34. (In Italian).
  6. Benincasa, F., De Vincenzi, M., Materassi, A., 2009: Stima della radiazione solare ultravioletta per mezzo di un modello neurale. Italian Journal of Agrometeorology, 3:27–34. (In Italian).
  7. Bond, W. J., van Wilgen, B. W., 1996: Fire and Plants. Dordrecht, Springer, 263 p.
  8. Cardil, A., Vega-García, C., Ascoli, D., Molina-Terrén, D. M., Silva C. A, Rodrigues, M., 2019: How does drought impact burned area in Mediterranean vegetation communities? Science of The Total Environment, 693:133603.
  9. Chandler, C., Cheney, P., Thomas, P., Trabaud, L., Williams, D., 1983: Fire in forestry. Volume 1. Forest fire behavior and effects. Volume 2. Forest fire management and organization. New York, John Wiley– Blackwell, 450 p.; 298 p.
  10. Fares, S., Bajocco, S., Salvati, L., Camarretta, N., Dupuy J-L., Xanthopoulos, G. et al., 2017: Characterizing potential wildland fire fuel in live vegetation in the Mediterranean region. Annals of Forest Science, 74:1.
  11. Keeley, J. E., Bond, W. J., Bradstock, R. A., Pausas, J. G., Rundel, P. W., 2011: Fire in Mediterranean Ecosystems: Ecology, Evolution and Management. Cambridge, Cambridge University Press, 522 p.
  12. Keyes, C. R., 2006: Role of Foliar Moisture Content in the Silvicultural Management of Forest Fuels. Western Journal of Applied Forestry, 21:228–231.
  13. Martin-StPaul, N., Pimont, F., Dupuy, J. L., Rigolot, E., Ruffault, J., Fargeon, H. et al., 2018: Live fuel moisture content (LFMC) time series for multiple sites and species in the French Mediterranean area since 1996. Annals of Forest Science, 75:57.
  14. Michetti, M., Pinar, M., 2019: Forest Fires Across Italian Regions and Implications for Climate Change: A Panel Data Analysis. Environmental Resource Economics, 72:207–246.
  15. Pellizzaro, G., Duce, P., Ventura, A., Zara, P., 2007: Seasonal variations of live moisture content and ignitability in shrubs of the Mediterranean Basin. International Journal of Wildland Fire, 16:633–641.
  16. Resco de Dios, V., Hedo, J., Cunill Camprubí, A., Thapa, P., Martínez del Castillo, E., Martínez de Aragón, J. et al., 2021: Climate change induced declines in fuel moisture may turn currently fire-free Pyrenean mountain forests into fire-prone ecosystems. Science of The Total Environment, 797:149104.
  17. Rodrigues, M., Cunill Camprubí, À., Balaguer-Romano, R., Coco Megía, C. J., Castañares, F., Ruffault, J. et al., 2023: Drivers and implications of the extreme 2022 wildfire season in Southwest Europe. Science of The Total Environment, 859:160320.
  18. Ruffault, J., Moron, V., Trigo, R. M., Curt, T., 2016: Objective identification of multiple large fire climatologies: an application to a Mediterranean ecosystem. Environmental Research Letters, 11:075006.
  19. Ruffault, J., Martin-StPaul, N., Pimont, F., Dupuy, J-L., 2018: How well do meteorological drought indices predict live fuel moisture content (LFMC)? An assessment for wildfire research and operations in Mediterranean ecosystems. Agricultural and Forest Meteorology, 262:391–401.
  20. San-Miguel-Ayanz, J., Pereira, J. M. C., Boca, R., Strobl, P., Kucera, J., Pekkarinen, A. 2009: Forest Fires in the European Mediterranean Region: Mapping and Analysis of Burned Areas. In: Chuvieco, E. (ed.): Earth Observation of Wildland Fires in Mediterranean Ecosystems. Berlin, Heidelberg, Springer, p.189–204.
  21. Shamshirband, S., Mohammadi, K., Khorasanizadeh, H., Yee, P. L., Lee, M., Petković, D. et al., 2016: Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model. Renewable and Sustainable Energy Reviews, 56:428–435.
  22. Steinfeld, D., Peter, A., Martius, O., Brönnimann, S., 2022: Assessing the performance of various fire weather indices for wildfire occurrence in Northern Switzerland. EGUsphere, 1–23.
  23. Tomaselli, V., De Vincenzi, M., Fasciano, C., Materassi, A., Veronico, G., Paffetti, D. et al., 2017: Analysing phenological features in natural and semi-natural environments next to cultivated fields as a prerequisite for potential pollen flow evaluation. Italian Journal of Agrometeorology, 3:25–36.
  24. Torres, F. P. T., Romeiro, J. M. N., de Albuquerque Santos, A. C., de Oliveira Neto, R. R., Lima G. S., Zanuncio, J. C., 2018: Fire danger index efficiency as a function of fuel moisture and fire behavior. Science of The Total Environment, 631–632:1304–1310.
  25. Turco, M., Rosa-Cánovas, J. J., Bedia, J., Jerez, S., Montávez, J. P., Llasat, M. C. et al., 2018: Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models. Nature Communications, 9:3821.
  26. Viegas, D., Piñol, J., Viegas, M. T., Ogaya, R., 2001: Estimating live fine fuel moisture content using meteorologically-based indices. International Journal of Wildland Fire, 10:223–240.
  27. Zhao, Y., Zhang, J., Bai, Y., Zhang, S., Yang, S., Henchiri, M. et al., 2022: Drought Monitoring and Performance Evaluation Based on Machine Learning Fusion of Multi-Source Remote Sensing Drought Factors. Remote Sensing, 14:6398.
  28. Copernicus Climate Change Service, Climate Data Store, 2019: Fire danger indices historical data from the Copernicus Emergency Management Service. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Available at https://ewds.climate.copernicus.eu/datasets/cems-fire-historical-v1?tab=overview. [Accessed on 23-09-2024].
  29. Keetch, J. J., Byram, G. M., 1968: A drought index for forest fire control. Asheville, NC, USDA, Forest Service Research Paper SE-38, Southeastern Forest Experiment Station, p. 1–32.
  30. Norum, R., Miller, M., 1984: Measuring Fuel Moisture Content in Alaska: Standard Methods and procedures. General Technical Report. U.S., Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 34 p.
  31. Van Wagner, C. E., 1987: Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p. Available at https://cfs.nrcan.gc.ca/publications?id=19927.
  32. Zahn, S., Henson, C., 2011: A synthesis of fuel moisture collection methods and equipment: a desk guide. 1151 1806P. San Dimas, CA: USDA Forest Service, San Dimas Technology and Development Center. 31 p. Available at https://www.frames.gov/catalog/20987.
DOI: https://doi.org/10.2478/forj-2025-0006 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 170 - 180
Published on: Aug 12, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Laura Bonora, Matteo De Vincenzi, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.