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One of the most widely used fire spread models is the minimum travel time (MTT), which requires a very time-consuming, interactive, trial-and-error calibration process to reproduce observed fire regimens. This study presents the MTTfireCAL package for R, a tool that enables fast calibration of the MTT fire spread models by testing and combining multiple settings and then ranking them based on the model\u2019s capacity to reproduce historical fire patterns, such as fire size distribution and fire frequency. Here, we explain the main methodological steps and validate the package by comparing it against the typical calibration procedures in two study areas. In addition, we estimate the minimum number of fire runs required to ensure a reliable calibration. Overall, the use of MTTfireCAL R package and the optimization of the number of ignitions used allowed for a faster calibration of the MTT modeling system than the typical trial-and-error calibration. The MTT modeling system calibrated using MTTfireCAL was also able to better reproduce the historical fire patterns. This tool has the potential to support the academic and operational community working with MTT.<\/jats:p>","DOI":"10.3390\/fire6060219","type":"journal-article","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T02:27:30Z","timestamp":1685500050000},"page":"219","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MTTfireCAL Package for R\u2014An Innovative, Comprehensive, and Fast Procedure to Calibrate the MTT Fire Spread Modelling System"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2958-1430","authenticated-orcid":false,"given":"Bruno A.","family":"Apar\u00edcio","sequence":"first","affiliation":[{"name":"Forest Research Centre and Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"given":"Akli","family":"Benali","sequence":"additional","affiliation":[{"name":"Forest Research Centre and Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2583-3669","authenticated-orcid":false,"given":"Jos\u00e9 M. C.","family":"Pereira","sequence":"additional","affiliation":[{"name":"Forest Research Centre and Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"given":"Ana C. L.","family":"S\u00e1","sequence":"additional","affiliation":[{"name":"Forest Research Centre and Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,30]]},"reference":[{"key":"ref_1","unstructured":"Merrill, D.F., and Alexander, M.E. (1987). Glossary of Forest Fire Management Terms."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Finney, M.A., McAllister, S.S., Forthofer, J.M., and Grumstrup, T.P. (2021). Wildland Fire Behaviour: Dynamics, Principles and Processes, CSIRO Publishing.","DOI":"10.1071\/9781486309092"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1139\/x02-068","article-title":"Fire growth using minimum travel time methods","volume":"32","author":"Finney","year":"2002","journal-title":"Can. J. For. Res."},{"key":"ref_4","unstructured":"Andrews, P.L., and Butler, B.W. (2006). An overview of FlamMap fire modeling capabilities, Fuels Management-How to Measure Success: Conference Proceedings, Proceedings of the RMRS-P-41, Portland, OR, USA, 28\u201330 March 2006."},{"key":"ref_5","unstructured":"Rothermel, R.C. (1972). A Mathematical Model for Predicting Fire Spread in Wildland Fuels, Intermountain Forest & Range Experiment Station."},{"key":"ref_6","unstructured":"Davis, K.P. (1959). Forest Fire: Control and Use, McGraw-Hill."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ager, A.A., Evers, C.R., Day, M.A., Preisler, H.K., Barros, A.M.G., and Nielsen-Pincus, M. (2017). Network analysis of wildfire transmission and implications for risk governance. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0172867"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3917","DOI":"10.5194\/nhess-22-3917-2022","article-title":"Coupling wildfire spread simulations and connectivity analysis for hazard assessment: A case study in Serra da Cabreira, Portugal","volume":"22","author":"Aparicio","year":"2022","journal-title":"Nat. Hazards Earth Syst. Sci. Discuss."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.jenvman.2018.10.027","article-title":"Towards a comprehensive wildfire management strategy for Mediterranean areas: Framework development and implementation in Catalonia, Spain","volume":"231","author":"Alcasena","year":"2019","journal-title":"J. Environ. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"102189","DOI":"10.1016\/j.ijdrr.2021.102189","article-title":"Application of simulation modeling for wildfire exposure and transmission assessment in Sardinia, Italy","volume":"58","author":"Salis","year":"2021","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Palaiologou, P., Kalabokidis, K., Ager, A.A., and Day, M.A. (2020). Development of Comprehensive Fuel Management Strategies for Reducing Wildfire Risk in Greece. Forests, 11.","DOI":"10.3390\/f11080789"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Jahdi, R., Salis, M., Alcasena, F., and Del Giudice, L. (2023). Assessing the Effectiveness of Silvicultural Treatments on Fire Behavior in the Hyrcanian Temperate Forests of Northern Iran. Environ. Manag., 1\u201316.","DOI":"10.1007\/s00267-023-01785-1"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1071\/WF15146","article-title":"Assessing the effect of a fuel break network to reduce burnt area and wildfire risk transmission","volume":"25","author":"Oliveira","year":"2016","journal-title":"Int. J. Wildland Fire"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"114650","DOI":"10.1016\/j.jenvman.2022.114650","article-title":"Contrasting the efficiency of landscape versus community protection fuel treatment strategies to reduce wildfire exposure and risk","volume":"309","author":"Alcasena","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"102405","DOI":"10.1016\/j.forpol.2021.102405","article-title":"Assessing expected economic losses from wildfires in eucalypt plantations of western Brazil","volume":"125","author":"Galizia","year":"2021","journal-title":"For. Policy Econ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"115920","DOI":"10.1016\/j.jenvman.2022.115920","article-title":"Evaluating priority locations and potential benefits for building a nation-wide fuel break network in Portugal","volume":"320","author":"Alcasena","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"104212","DOI":"10.1016\/j.landurbplan.2021.104212","article-title":"Planning for future fire: Scenario analysis of an accelerated fuel reduction plan for the western United States","volume":"215","author":"Ager","year":"2021","journal-title":"Landsc. Urban Plan."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Palaiologou, P., Kalabokidis, K., Ager, A.A., Galatsidas, S., Papalampros, L., and Day, M.A. (2021). Spatial optimization and tradeoffs of alternative forest management scenarios in Macedonia, Greece. Forests, 12.","DOI":"10.3390\/f12060697"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"100291","DOI":"10.1016\/j.coesh.2021.100291","article-title":"Fire behavior modeling for operational decision-making","volume":"23","author":"Cardil","year":"2021","journal-title":"Curr. Opin. Environ. Sci. Health"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/j.envsoft.2010.11.016","article-title":"Effects of ignition location models on the burn patterns of simulated wildfires","volume":"26","author":"Massada","year":"2011","journal-title":"Environ. Model. Softw."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1071\/WF11060","article-title":"Assessing exposure of human and ecological values to wildfire in Sardinia, Italy","volume":"22","author":"Salis","year":"2012","journal-title":"Int. J. Wildland Fire"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Benali, A., S\u00e1, A.C.L., Pinho, J., Fernandes, P.M., and Pereira, J.M.C. (2021). Understanding the Impact of Different Landscape-Level Fuel Management Strategies on Wildfire Hazard in Central Portugal. Forests, 12.","DOI":"10.20944\/preprints202103.0040.v1"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Benali, A., Russo, A., S\u00e1, A.C., Pinto, R.M., Price, O., Koutsias, N., and Pereira, J.M. (2016). Determining fire dates and locating ignition points with satellite data. Remote Sens., 8.","DOI":"10.3390\/rs8040326"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.foreco.2016.03.009","article-title":"Evaluating alternative fuel treatment strategies to reduce wildfire losses in a Mediterranean area","volume":"368","author":"Salis","year":"2016","journal-title":"For. Ecol. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.1038\/s41467-022-28835-2","article-title":"Spatial and temporal expansion of global wildland fire activity in response to climate change","volume":"13","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_26","unstructured":"R Core Team (2022). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_27","unstructured":"Pereira, J.M.C., Silva, P.C., Melo, I., Oom, D., Baldassarre, G., and Pereira, M.G. (2023, May 21). Cartografia de Regimes de Fogo \u00e0 Escala da Freguesia (1980\u20132017). Available online: https:\/\/www.agif.pt\/app\/uploads\/2022\/05\/Relat%C3%B3rio-Regimes-do-Fogo-%C3%A0-escala-da-freguesia-1980_2017_FW_vs_final.pdf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.5194\/essd-13-4349-2021","article-title":"ERA5-Land: A state-of-the-art global reanalysis dataset for land applications","volume":"13","author":"Dutra","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 global reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"529","DOI":"10.5194\/essd-11-529-2019","article-title":"The Global Fire Atlas of individual fire size, duration, speed and direction","volume":"11","author":"Andela","year":"2019","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1038\/s41597-022-01572-3","article-title":"Country-level fire perimeter datasets (2001\u20132021)","volume":"9","author":"Mahood","year":"2022","journal-title":"Sci. Data"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Alcasena, F., Ager, A., Le Page, Y., Bessa, P., Loureiro, C., and Oliveira, T. (2021). Assessing wildfire exposure to communities and protected areas in Portugal. Fire, 4.","DOI":"10.3390\/fire4040082"},{"key":"ref_33","unstructured":"Hufkens, K., Stauffer, R., and Campitelli, E. (2019). Ecmwfr: Programmatic Interface to the Two European Centre for Medium-Range Weather Forecasts API Services, Zenodo. Version v1.2.0."},{"key":"ref_34","unstructured":"Pierce, D. (2023, May 21). Ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files. Available online: https:\/\/CRAN.R-project.org\/package=ncdf4."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1175\/BAMS-86-2-225","article-title":"The relationship between relative humidity and the dewpoint temperature in moist air: A simple conversion and applications","volume":"86","author":"Lawrence","year":"2005","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Hassler, B., and Lauer, A. (2021). Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5. Atmosphere, 12.","DOI":"10.3390\/atmos12111462"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5178","DOI":"10.1038\/s41598-022-09049-4","article-title":"Comparison of weather station and climate reanalysis data for modelling temperature-related mortality","volume":"12","author":"Mistry","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.5194\/essd-15-1287-2023","article-title":"Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system","volume":"15","author":"Aragoneses","year":"2023","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_39","unstructured":"EFFIS (2017). European Fuel Map, Based on JRC Contract Number 384347 on the \u201cDevelopment of a European Fuel Map\u201d, European Commission."},{"key":"ref_40","unstructured":"Fernandes, P., Gon\u00e7alves, H., Loureiro, C., Fernandes, M., Costa, T., Cruz, M.G., and Botelho, H. (2009). Actas do 6\u00b0 Congresso Florestal Nacional. Sociedade Portuguesa de Ci\u00eancias Florestais, SPCF."},{"key":"ref_41","unstructured":"MacQueen, J. (July, January 21). Classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, CA, USA."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1002\/wics.1204","article-title":"Model-based cluster analysis","volume":"4","author":"Stahl","year":"2012","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"ref_43","first-page":"90","article-title":"Review on determining number of Cluster in K-Means Clustering","volume":"1","author":"Kodinariya","year":"2013","journal-title":"Int. J. Adv. Res. Comput. Sci. Manag. Stud."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/S0031-3203(02)00060-2","article-title":"The global k-means clustering algorithm","volume":"36","author":"Likas","year":"2003","journal-title":"Pattern Recognit."},{"key":"ref_45","unstructured":"Kassambara, A., and Mundt, F. (2023, May 21). Factoextra: Extract and Visualize the Results of Multivariate Data Analyses. Available online: https:\/\/cran.r-project.org\/web\/packages\/factoextra\/index.html."},{"key":"ref_46","first-page":"272","article-title":"Artificial intelligence and machine learning in bioinformatics","volume":"Volume 1","author":"Ranganathan","year":"2019","journal-title":"Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"803","DOI":"10.2307\/2532201","article-title":"Model-Based Gaussian and Non-Gaussian Clustering","volume":"49","author":"Banfield","year":"1993","journal-title":"Biometrics"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"28","DOI":"10.32614\/RJ-2016-021","article-title":"Mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models","volume":"8","author":"Scrucca","year":"2016","journal-title":"R J."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1071\/WF14130","article-title":"A generic, empirical-based model for predicting rate of fire spread in shrublands","volume":"24","author":"Anderson","year":"2015","journal-title":"Int. J. Wildland Fire"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1101\/gr.247072.118","article-title":"Two contrasting classes of nucleolus-associated domains in mouse fibroblast heterochromatin","volume":"29","author":"Vertii","year":"2019","journal-title":"Genome Res."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Bachantourian, M., Kalabokidis, K., Palaiologou, P., and Chaleplis, K. (2023). Optimizing Fuel Treatments Allocation to Protect the Wildland\u2013Urban Interface from Large-Scale Wildfires in Greece. Fire, 6.","DOI":"10.3390\/fire6020075"},{"key":"ref_52","unstructured":"Braga, S.R., de Oliveira, M.L.R., and Gorgens, E.B. (2023, May 21). Forestmangr: Forest Mensuration and Management. Available online: https:\/\/cran.r-project.org\/package=forestmangr."},{"key":"ref_53","unstructured":"Hamner, B., Frasco, M., and Dell, E. (2023, May 21). Metrics: Evaluation Metrics for Machine Learning. Available online: https:\/\/cran.r-project.org\/web\/packages\/Metrics\/Metrics.pdf."},{"key":"ref_54","unstructured":"Embry, I., Hoos, A., and Diehl, T.H. (2023, May 21). Ie2misc: Irucka Embry\u2019s Miscellaneous USGS Functions. Available online: https:\/\/cran.r-project.org\/package=ie2misc."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/0304-3800(95)00084-9","article-title":"Calibration of process-oriented models","volume":"83","author":"Janssen","year":"1995","journal-title":"Ecol. Model."},{"key":"ref_56","unstructured":"Louren\u00e7o, B. (2022). Gest\u00e3o do Risco de Inc\u00eandio em Planta\u00e7\u00f5es Florestais das Empresas de Celulose. [Master\u2019s Thesis, School of Agriculture, University of Lisbon]."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Bruni, C., Apar\u00edcio, B., Louren\u00e7o, B., Marta-Almeida, M., Benali, A., Barreiro, S., Rocha, A., and S\u00e1, A.C.L. (2023, May 21). Wildfire Exposure and Risk in Pulp Paper Companies\u2019 Plantations under Extreme Weather Conditions: A Case Study in NORTH-Western Portugal. Available online: https:\/\/ssrn.com\/abstract=4104359.","DOI":"10.2139\/ssrn.4104359"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ecolmodel.2019.01.017","article-title":"Adjusting the rate of spread of fire simulations in real-time","volume":"395","author":"Cardil","year":"2019","journal-title":"Ecol. Model."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Benali, A., Guiomar, N., Gon\u00e7alves, H., Mota, B., Silva, F., Fernandes, P.M., Mota, C., Penha, A., Santos, J., and Pereira, J.M.C. (2023). The Portuguese Large Wildfire Spread Database (PT-FireSprd). Earth Syst. Sci. Data, preprint.","DOI":"10.5194\/essd-2022-475"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"105127","DOI":"10.1016\/j.envsoft.2021.105127","article-title":"Derivation of a Bayesian fire spread model 896 using large-scale wildfire observations","volume":"144","author":"Storey","year":"2021","journal-title":"Environ. Model. Softw."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1898","DOI":"10.1111\/risa.12739","article-title":"Assessing climate change impacts on wildfire exposure in Mediterranean areas","volume":"37","author":"Lozano","year":"2017","journal-title":"Risk Anal."}],"container-title":["Fire"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2571-6255\/6\/6\/219\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:45:12Z","timestamp":1760125512000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2571-6255\/6\/6\/219"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,30]]},"references-count":61,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["fire6060219"],"URL":"https:\/\/doi.org\/10.3390\/fire6060219","relation":{},"ISSN":["2571-6255"],"issn-type":[{"value":"2571-6255","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,30]]}}}