Assessing trends in wildland-urban interface fire research through text mining: a comprehensive analysis of published literature

Abstract

Research on fires at the wildland-urban interface (WUI) has generated significant insights and advancements across various fields of study. Environmental, agriculture, and social sciences have played prominent roles in understanding the impacts of fires in the environment, in protecting communities, and addressing management challenges. This study aimed to create a database using a text mining technique for global researchers interested in WUI-projects and highlighting the interest of countries in this field. Author’s-Keywords analysis emphasized the dominance of fire science-related terms, especially related to WUI, and identified keyword clusters related to the WUI fire-risk-assessment-system—“exposure”, “danger”, and “vulnerability” within wildfire research. Trends over the past decade showcase shifting research interests with a growing focus on WUI fires, while regional variations highlighted that the “exposure” keyword cluster received greater attention in the southern Europe and South America. However, vulnerability keywords have relatively a lower representation across all regions. The analysis underscores the interdisciplinary nature of WUI research and emphasizes the need for targeted approaches to address the unique challenges of the wildland-urban interface. Overall, this study provides valuable insights for researchers and serves as a foundation for further collaboration in this field through the understanding of the trends over recent years and in different regions.

Keywords

WUI / Text mining / Wildfires / Fire science / State of the art / Scientific publications

References

[1]	Barbosa JV, Nunes RAO, Alvim-Ferraz MCM, Martins FG, Sousa SIV (2024) Health and economic burden of wildland fires PM2.5-related pollution in Portugal: a longitudinal study. Environ Res 240:117490. https://doi.org/10.1016/j.envres.2023.117490
[2]	Bento-Gon?alves A, Vieira A (2020) Wildfires in the wildland-urban interface: key concepts and evaluation methodologies. Sci Total Environ 707:135592. https://doi.org/10.1016/j.scitotenv.2019.135592
[3]	Cambero F (2023) Chile battles deadliest wildfires on record as heatwave grips. https://www.reuters.com/world/americas/chile-battles-deadliest-wildfires-record-heatwave-grips-2023-02-06/
[4]	Cassella C (2023) Wildfire smoke stands to deplete the ozone layer, scientists warn. https://www.sciencealert.com/wildfire-smoke-stands-to-deplete-the-ozone-layer-scientists-warn
[5]	Chuvieco E, Yebra M, Martino S, Thonicke K, Gómez-Giménez M, San-Miguel J, Oom D, Velea R, Mouillot F, Molina JR, Miranda IA, Lopes D, Salis M, Bugaric M, Sofiev M, Kadantsev E, Gitas LZ, Stavrakoudis D, Eftychidis G, Bar-Massada A, Neidermeier A, Pampanoni VM, Pettinari L, Arrogante-Funes F, Ochoa C, Moreira B, Viegas D (2023) Towards an integrated approach to wildfire risk assessment: when, where, what and how may the landscapes burn. Fire 6(5):215. https://doi.org/10.3390/fire6050215
[6]	Cohen JD (2000) Preventing disaster: home ignitability in the wildland-urban interface. J Forest 98:15–21. https://doi.org/10.1093/jof/98.3.15
[7]	Cortner HJ, Robert DG (1990) People, fire, and wildland environments. Popul Envir 11(4):245–257. https://doi.org/10.1007/BF01256458
[8]	Eroglu Y (2023) Text mining approach for trend tracking in scientific research: a case study on forest fire. Fire 6:33. https://doi.org/10.3390/fire6010033
[9]	Fernandes AP, Lopes D, Sorte S, Monteiro A, Gama C, Reis J, Menezes I, Osswald T, Borrego C, Almeida M (2022) Smoke Emissions from the extreme wildfire events in central Portugal in October 2017. Int J Wildl Fire 31:989–1001. https://doi.org/10.1071/WF21097
[10]	Fernández FJ, Vásquez-Lavín F, Ponce RD, Garreaud R, Hernández F, Link O, Zambrano F, Hanemann M (2023) The Economics impacts of long-run droughts: challenges, gaps, and way forward. J Environ Manage 344:118726. https://doi.org/10.1016/j.jenvman.2023.118726
[11]	Fischer WC, Arno SF (1988) Protecting people and homes from wildfire in the interior West: Proceedings of the symposium and workshop. Gen. Tech. Rep. INT-GTR-251. Ogden, UT: USDA Forest Service, Intermountain Research Station, pp 213
[12]	Gill AM (1979) Fire in the Australian landscape. Landsc Plan 6:343–357
[13]	González-Cabán A (2013) The Economic dimension of wildland fires. Vegetation Fires and Global Change – Challenges for Concerted International Action. A White Paper Directed to the United Nations and International Organizations, Jan 2013, 229–237. http://treesearch.fs.fed.us/pubs/44383
[14]	Grilli G, Sacchelli S (2020) Health benefits derived from forest: a review. Int J Environ Res Public Health 17(17):6125. https://doi.org/10.3390/ijerph17176125
[15]	Haight RG, Cleland DT, Hammer RB, Radeloff VC, Rupp TS (2004) Assessing fire risk in the wildland-urban interface. J Forest 102:41–48. https://doi.org/10.1093/jof/102.7.41
[16]	Hammer RB, Stewart SI, Radeloff VC (2009) Demographic trends, the wildland–urban interface, and wildfire management. Soc Nat Resour 22:777–782. https://doi.org/10.1080/08941920802714042
[17]	Hoover K, Hanson LA (2021) Wildfire statistics. Congr Res Serv 2:1–3
[18]	Igini M (2022) Top 12 largest wildfires in history. Earth Org. https://earth.org/largest-wildfires-in-history/.
[19]	Kumar M, Li S, Nguyen P, Banerjee T (2022) Examining the existing definitions of wildland-urban interface for California. Ecosphere 13:e4306. https://doi.org/10.1002/ecs2.4306
[20]	Latham D (2013) Painting the landscape with fire: Longleaf pines and fire ecology. Univ of South Carolina Press, ISBN 1611172470. https://www.jstor.org/stable/j.ctv6wgkks
[21]	Lohse J, Pietrantoni P, Tummers C (2020) Management of thermal injuries in donkeys: a case report. Animals (basel) 10(11):2131. https://doi.org/10.3390/ani10112131
[22]	MacCarthy J, Richter J, Tyukavina S, Weisse M, Harris N (2023) New data confirms: Forest fires are getting worse. https://www.wri.org/insights/global-trends-forest-fires
[23]	Manzello SL, Shields JR, Cleary TG, Yang JC (2005) Ignition of mulch by firebrands in wildland/urban interface (WUI) fires. Environ Sci. https://doi.org/10.1071/WF06031
[24]	Mavsar R, Cabán AG, Varela E (2013) The state of development of fire management decision support systems in America and Europe. For Policy Econ 29:45–55. https://doi.org/10.1016/j.forpol.2012.11.009
[25]	Meng Y, Deng Y, Shi P (2015) Mapping Forest Wildfire Risk of the World. In: Shi P, Kasperson R (eds) World Atlas of Natural Disaster Risk. IHDP/Future Earth-Integrated Risk Governance Project Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45430-5_14
[26]	Molina JR, Teodoro M, Silva FRY, Herrera MA (2017) The ignition index based on flammability of vegetation improves planning in the wildland-urban interface: a case study in Southern Spain. Landsc Urban Plan 158:129–138. https://doi.org/10.1016/j.landurbplan.2016.11.003
[27]	Molina-Terrén DM, Xanthopoulos G, Diakakis M, Ribeiro L, Caballero D, Delogu GM, Viegas DX, Silva CA, Cardil A (2019) Analysis of forest fire fatalities in southern Europe: Spain, Portugal, Greece and Sardinia (Italy). Int J Wild Fire 28:85–98. https://doi.org/10.1071/WF18004
[28]	Mustaqim T, Umam K, Muslim MA (2020) Twitter text mining for sentiment analysis on government’s response to forest fires with vader lexicon polarity detection and k-nearest neighbor algorithm. J Phys Conf Ser 1567(3):032024. https://doi.org/10.1088/1742-6596/1567/3/032024
[29]	Nunes AN, Figueiredo A, Pinto C, Louren?o L (2023) Assessing wildfire hazard in the wildland–urban interfaces (WUIs) of Central Portugal. Forests 14(6):1106. https://doi.org/10.21203/rs.3.rs-2442840/v1
[30]	Platt RV (2010) The Wildland–urban interface: evaluating the definition effect. J Forest 108:9–15. https://doi.org/10.1093/jof/108.1.9
[31]	Radeloff VC, Helmers DP, Kramer HA, Mockrin MH, Alexandre PM, Bar-Massada A, Butsic V, Hawbaker TJ, Martinuzzi S, Syphard AD (2018) Rapid growth of the US wildland-urban interface raises wildfire risk. Proc Natl Acad Sci 115:3314–3319. https://doi.org/10.1073/pnas.1718850115
[32]	Reid CE, Brauer M, Johnston FH, Jerrett M, Balmes JR, Elliott CT (2016) Critical review of health impacts of wildfire smoke exposure. Environ Health Perspect 124:1334–1343. https://doi.org/10.1289/ehp.1409277
[33]	Reisen F, Duran SM, Flannigan M, Elliott C, Rideout K (2015) Wildfire smoke and public health risk. Int J Wildl Fire 24:1029–1044. https://doi.org/10.1071/WF15034
[34]	Ribeiro LM, Viegas DX (2011) An analysis on wildland urban interface in Portugal. In: Spano D, Bacciu V, Salis M and Sirca C (eds) Modelling Fire behavior and Risk, pp 237–242. https://doi.org/10.14195/978-989-26-16-506_81
[35]	Rodríguez BMP, Alcaide ML (2022) Identification of research trends in emerging technologies implementation on public services using text mining analysis. Inform Technol Peopl. https://doi.org/10.1108/itp-03-2021-0188
[36]	Sadowska B, Grzegorz Z, St?pnicka N (2021) Forest fires and losses caused by fires–an economic approach. WSEAS Trans Environ Dev 17:181–191. https://doi.org/10.37394/232015.2021.17.18
[37]	San-Miguel-Ayanz J, Moreno JM, Camia A (2013) Analysis of large fires in European Mediterranean landscapes: lessons learned and perspectives. For Ecol Manag 294:11–22. https://doi.org/10.1016/j.foreco.2012.10.050
[38]	Sarricolea P, Serrano-Notivoli R, Fuentealba M, Hernández-Mora M, De la Barrera F, Smith P, Meseguer-Ruiz ó (2020) Recent wildfires in central Chile: detecting links between burned areas and population exposure in the wildland urban interface. Sci Total Environ 706:135894. https://doi.org/10.1016/j.scitotenv.2019.135894
[39]	Schober A, ?imunovi? N, Darabant A, Stern T (2018) Identifying sustainable forest management research narratives: a text mining approach. J Sustain for 37(6):537–554. https://doi.org/10.1080/10549811.2018.1437451
[40]	Schotten M, Meester WJN, Steiginga S, Ross CA (2017) A brief history of scopus: the World’s largest abstract and citation database of scientific literature. In: Research analytics, Auerbach Pub, pp 31–58. https://doi.org/10.1201/9781315155890-3
[41]	Stewart SI, Radeloff VC, Hammer RB, Hawbaker TJ (2007) Defining the wildland–urban interface. J Forest 105(4):201–207. https://doi.org/10.1093/jof/105.4.201
[42]	Suzuki S, Manzello SL (2022) Toward understanding ignition vulnerabilities to firebrand showers using reduced-scale experiments. Fire Mater 46:809–817. https://doi.org/10.1002/fam.3027
[43]	Talib R, Hanif MK, Ayesha S, Fatima F (2016) Text mining: Techniques, applications and issues. Int J Adv Comput Sci Appl. https://doi.org/10.14569/IJACSA.2016.071153
[44]	Theobald DM, Romme WH (2007) Expansion of the US wildland–urban interface. Landsc Urban Plan 83:340–354. https://doi.org/10.1016/j.landurbplan.2007.06.002
[45]	Thomas DS, Butry DT, Prestemon JP (2012) Social disorder, accidents, and municipal wildfires. Proc 3rd Hum Dimen of Wildland Fire, pp 17–19. URL: https://www.fs.usda.gov/research/treesearch/45869
[46]	Viegas DX, Oliveira R, Almeida M, Kim D (2021) Ignition of fuel beds by cigarettes: a conceptual model to assess fuel bed moisture content and wind velocity effect on the ignition time and probability. Fire 4:35. https://doi.org/10.3390/fire4030035
[47]	Youssouf H, Liousse C, Roblou L, Assamoi EM, Salonen RO, Maesano C, Banerjee S, Annesi-Maesano I (2014) Non-accidental health impacts of wildfire smoke. Int J Environ Res Public Health 11:11772–11804. https://doi.org/10.3390/ijerph111111772