A Decision Framework for Evaluating the Rocky Mountain Area Wildfire Dispatching System in Colorado

References

• Abatzoglou JT, Juang CS, Williams AP, Kolden CA, Westerling AL (2021) Increasing synchronous fire danger in forests of the western United States. Geophysical Res. Lett. 48(2):e2020GL091377.Crossref, Google Scholar
• Abdo M, Ward I, O’Dell K, Ford B, Pierce J, Fischer E, Crooks J (2019) Impact of wildfire smoke on adverse pregnancy outcomes in Colorado, 2007–2015. Internat. J. Environ. Res. Public Health 16(19):3720.Crossref, Google Scholar
• Baker CM, Campbell PT, Chades I, Dean AJ, Hester SM, Holden MH, McCaw JM, et al. (2022) From climate change to pandemics: Decision science can help scientists have impact. Frontiers Ecology Evolution 10:792749.Crossref, Google Scholar
• Balch JK, Iglesias V, Braswell AE, Rossi MW, Joseph MB, Mahood AL, Shrum TR, et al. (2020) Social‐environmental extremes: Rethinking extraordinary events as outcomes of interacting biophysical and social systems. Earth’s Future 8(7):e2019EF001319.Crossref, Google Scholar
• Belval EJ, Stonesifer CS, Calkin DE (2020a) Fire suppression resource scarcity: Current metrics and future performance indicators. Forests 11(2):217.Crossref, Google Scholar
• Belval EJ, Pechota T, Jossart B, Thompson M (2021) A decision support framework for evaluating the RMA dispatching system in Colorado. Report, Rocky Mountain Coordinating Group, Lakewood, CO.Google Scholar
• Belval EJ, Short KC, Stonesifer CS, Calkin DE (2022) A historical perspective to inform strategic planning for 2020 end-of-year wildland fire response efforts. Fire 5(2):35.Crossref, Google Scholar
• Belval EJ, Heinsch FA, Gumm J, Pechota T, Jossart B (2020b) Dispatch efficiency project: Lessons learned from facilitated tradeoff analysis session. Report, Rocky Mountain Research Station, U.S. Forest Service US Department of Agriculture, Fort Collins, CO.Google Scholar
• Boston K, Bettinger P (2001) A conceptual model for describing decision-making situations in integrated natural resource planning and modeling projects 1. Environ. Management 28(1):1–7.Crossref, Google Scholar
• Brazill-Boast J, Williams M, Rickwood B, Partridge T, Bywater G, Cumbo B, Shannon I, et al. (2018) A large-scale application of project prioritization to threatened species investment by a government agency. PLoS ONE 13(8):e0201413.Crossref, Google Scholar
• Caggiano MD, Hawbaker TJ, Gannon BM, Hoffman CM (2020) Building loss in WUI disasters: Evaluating the core components of the wildland–urban interface definition. Fire 3(4):73.Crossref, Google Scholar
• Calkin DE, O’Connor CD, Thompson MP, Stratton R (2021) Strategic wildfire response decision support and the risk management assistance program. Forests 12(10):1407.Crossref, Google Scholar
• Cattau ME, Wessman C, Mahood A, Balch JK (2020) Anthropogenic and lightning‐started fires are becoming larger and more frequent over a longer season length in the U.S.A. Global Ecology Biogeography 29(4):668–681.Crossref, Google Scholar
• Chambers JC, Allen CR, Cushman SA (2019) Operationalizing ecological resilience concepts for managing species and ecosystems at risk. Frontiers Ecology Evolution 7:241.Crossref, Google Scholar
• Chow JYJ, Regan AC (2011) Resource location and relocation models with rolling horizon forecasting for wildland fire planning. Inform. Systems Oper. Res. 49(1):31–43.Crossref, Google Scholar
• Coop JD, Parks SA, Stevens‐Rumann CS, Ritter SM, Hoffman CM, Varner JM (2022) Extreme fire spread events and area burned under recent and future climate in the western USA. Global Ecology Biogeography 31(10):1949–1959.Crossref, Google Scholar
• Coop JD, Parks SA, Stevens-Rumann CS, Crausbay SD, Higuera PE, Hurteau MD, Tepley A, et al. (2020) Wildfire-driven forest conversion in western North American landscapes. Bioscience 70(8):659–673.Crossref, Google Scholar
• Cruz MG, Sullivan AL, Gould JS, Sims NC, Bannister AJ, Hollis JJ, Hurley RJ (2012) Anatomy of a catastrophic wildfire: The Black Saturday Kilmore East fire in Victoria, Australia. Forest Ecology Management 284(November):269–285.Crossref, Google Scholar
• Dore H (2022) Staffing challenges force Bozeman Interagency Dispatch Center to close. Bozeman Daily Chronicle (April 27), https://www.bozemandailychronicle.com/news/environment/staffing-challenges-force-bozeman-interagency-dispatch-center-to-close/article_e96d2000-35cd-5278-b1af-6f10fd605ff1.html.Google Scholar
• Edwards W, Miles RF Jr, von Winterfeldt D, eds. (2007) Advances in Decision Analysis: From Foundations to Applications, 1st ed. (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Game ET, Kareiva P, Possingham HP (2013) Six common mistakes in conservation priority setting. Conservation Biology 27(3):480–485.Crossref, Google Scholar
• Gazzard T, Walshe T, Galvin P, Salkin O, Baker M, Cross B, Ashton P (2020) What is the “appropriate” fuel management regime for the Otway Ranges, Victoria, Australia? Developing a long-term fuel management strategy using the structured decision-making framework. Internat J. Wildland Fire 29(5):354–370.Crossref, Google Scholar
• Granger CH (1964) The hierarchy of objectives. Harvard Bus. Rev. 42(3):12.Google Scholar
• Gregory R, ed. (2012) Structured Decision Making: A Practical Guide to Environmental Management Choices (Wiley-Blackwell, Chichester, UK).Crossref, Google Scholar
• Greiner SM, Schultz CA, Kooistra C (2021) Pre-season fire management planning: The use of potential operational delineations to prepare for wildland fire events. Internat. J. Wildland Fire 30(3):170–178.Crossref, Google Scholar
• Haight RG, Fried JS (2007) Deploying wildland fire suppression resources with a scenario-based standard response model. Inform. Systems Oper. Res. 45(1):31–39.Crossref, Google Scholar
• Hammond JS, Keeney RL, Raiffa H (2002) Smart Choices: A Practical Guide to Making Better Life Decisions (Broadway Books, New York).Google Scholar
• Hemming V, Camaclang AE, Adams MS, Burgman M, Carbeck K, Carwardine J, Chadès I, et al. (2022) An introduction to decision science for conservation. Conservation Biology 36(1):e13868.Crossref, Google Scholar
• Hu X, Ntaimo L (2009) Integrated simulation and optimization for wildfire containment. ACM Trans. Model. Comput. Simulation 19(4):19.Crossref, Google Scholar
• Huang IB, Keisler J, Linkov I (2011) Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Sci. Total Environ. 409(19):3578–3594.Crossref, Google Scholar
• Isaksen SG, Gaulin JP (2005) A reexamination of brainstorming research: Implications for research and practice. Gifted Child Quart. 49(4):315–329.Crossref, Google Scholar
• johnjforrest, Vigerske S, Santos HG, Ralphs T, Hafer L, Kristjansson B, jpfasano, et al. (2020) coin-or/Cbc Version 2.10.5, http://dx.doi.org/10.5281/zenodo.3700700.Google Scholar
• Keeney RL (1992) Value-Focused Thinking: A Path to Creative Decisionmaking (Harvard University Press, Cambridge, MA).Google Scholar
• Keeney RL (2004) Making better decision makers. Decision Anal. 1(4):193–204.Link, Google Scholar
• Keeney RL, Gregory RS (2005) Selecting attributes to measure the achievement of objectives. Oper. Res. 53(1):1–11.Link, Google Scholar
• Lee Y, Fried JS, Albers HJ, Haight RG (2013) Deploying initial attack resources for wildfire suppression: Spatial coordination, budget constraints, and capacity constraints. Candian J. Forest Res. 43(1):56–65.Crossref, Google Scholar
• Liesiö J, Mild P, Salo A (2007) Preference programming for robust portfolio modeling and project selection. Eur. J. Oper. Res. 181(3):1488–1505.Crossref, Google Scholar
• Loach J (2022) Dispatch efficiency project decision. Memo, Chair of the Rocky Mountain Area Fire Executive Council, Rocky Mountain Coordinating Group, Lakewood, CO.Google Scholar
• Liu Z, Wimberly MC, Lamsal A, Sohl TL, Hawbaker TJ (2015) Climate change and wildfire risk in an expanding wildland–urban interface: A case study from the Colorado Front Range Corridor. Landscape Ecology 30(10):1943–1957.Crossref, Google Scholar
• Luc DT (2008) Pareto optimality. Chinchuluun A, Pardalos PM, Migdalas A, Pitsoulis L, eds. Pareto Optimality, Game Theory And Equilibria. Springer Optimization and Its Applications (Springer, New York), 481–515.Crossref, Google Scholar
• MacLellan JI, Martell DL (1996) Basing airtankers for forest fire control in Ontario. Oper. Res. 44(5):677–686.Link, Google Scholar
• Marcot BG, Lyons JE, Elbert DC, Todd L (2021) Using decision science for monitoring threatened western snowy plovers to inform recovery. Animals 11(2):569.Crossref, Google Scholar
• Marcot BG, Thompson MP, Runge MC, Thompson FR, McNulty S, Cleaves D, Tomosy M, Fisher LA, Bliss A (2012) Recent advances in applying decision science to managing national forests. Forest Ecology Management 285:123–132.Crossref, Google Scholar
• Martin DM, Piscopo AN, Chintala MM, Gleason TR, Berry W (2019) Structured decision making to meet a national water quality mandate. J. Amer. Water Resources Assoc. 55(5):1116–1129.Crossref, Google Scholar
• Martin J, Runge MC, Nichols JD, Lubow BC, Kendall WL (2009) Structured decision making as a conceptual framework to identify thresholds for conservation and management. Ecological Appl. 19(5):1079–1090.Crossref, Google Scholar
• McFayden CB, Woolford DG, Stacey A, Boychuk D, Johnston JM, Wheatley MJ, Martell DL (2020) Risk assessment for wildland fire aerial detection patrol route planning in Ontario, Canada. Internat. J. Wildland Fire 29(1):28–41.Crossref, Google Scholar
• Meldrum JR, Barth CM, Goolsby JB, Olson SK, Gosey AC, White J, Brenkert-Smith H, Champ PA, Gomez J (2022) Parcel-level risk affects wildfire outcomes: Insights from pre-fire rapid assessment data for homes destroyed in 2020 east troublesome fire. Fire 5(1):24.Crossref, Google Scholar
• Mitchell S, O’Sullivan, Dunning I (2011) PuLP: A linear programming toolkit for Python. Working paper, Department of Engineering Science, University of Auckland, Auckland, New Zealand. https://optimization-online.org/2011/09/3178/.Google Scholar
• Navarro KM, Kleinman MT, Mackay CE, Reinhardt TE, Balmes JR, Broyles GA, Ottmar RD, Naher LP, Domitrovich JW (2019) Wildland firefighter smoke exposure and risk of lung cancer and cardiovascular disease mortality. Environ. Res. 173:462–468.Crossref, Google Scholar
• Pacheco AP, Neufville R de, Claro J, Fornés H (2014) Flexible design of a cost-effective network of fire stations, considering uncertainty in the geographic distribution and intensity of escaped fires. Xavier Viegas D, ed. Advances in Forest Fire Research (Imprensa da Universidade de Coimbra, Coimbra, Portugal), 1835–1838.Crossref, Google Scholar
• Pechota T (2019) Text provided by personal communication with the authors, 2019.Google Scholar
• Qin X, Luo Y, Tang N, Li G (2020) Making data visualization more efficient and effective: A survey. Internat. J. Very Large Data Bases 29(1):93–117.Crossref, Google Scholar
• Robinne F, Hallema DW, Bladon KD, Flannigan MD, Boisramé G, Bréthaut CM, Doerr SH, et al. (2021) Scientists’ warning on extreme wildfire risks to water supply. Hydrological Processes 35(5):e14086.Crossref, Google Scholar
• Rocky Mountain Coordinating Group (2022) Rocky Mountain Area Multi-Agency Coordinating Group operating plan. Report, Rocky Mountain Coordinating Group, Lakewood, CO.Google Scholar
• Rodman KC, Veblen TT, Chapman TB, Rother MT, Wion AP, Redmond MD (2020) Limitations to recovery following wildfire in dry forests of southern Colorado and northern New Mexico, USA. Ecological Appl. 30(1):e02001.Crossref, Google Scholar
• Runge MC, Converse SJ, Lyons JE, Smith DR (2020) Structured Decision Making: Case Studies in Natural Resource Management (Johns Hopkins University Press, Baltimore).Crossref, Google Scholar
• Runge MC, LaGory KE, Russell K, Balsom JR, Butler RA, Coggins LG Jr, Gantz KA, et al. (2015) Decision analysis to support development of the Glen Canyon Dam long-term experimental and management plan. Report, U.S. Geological Survey, Reston, VA.Google Scholar
• Sakellariou S, Sfougaris A, Christopoulou O (2020a) Location planning of fire service fleet based on forest fire susceptibility. WSEAS Trans. Environ. Development 16:643–648.Crossref, Google Scholar
• Sakellariou S, Parisien MA, Flannigan M, Wang X, de Groot B, Tampekis S, Samara F, Sfougaris A, Christopoulou O (2020b) Spatial planning of fire-agency stations as a function of wildfire likelihood in Thasos, Greece. Sci. Total Environ. 729:139004.Crossref, Google Scholar
• Schultz CA, Miller LF, Greiner SM, Kooistra C (2021) A Qualitative Study on the US Forest Service’s risk management assistance efforts to improve wildfire decision-making. Forests 12(3):344.Crossref, Google Scholar
• Smith CM, Shaw D (2019) The characteristics of problem structuring methods: A literature review. Eur. J. Oper. Res. 274(2):403–416.Crossref, Google Scholar
• Stevens‐Rumann CS, Kemp KB, Higuera PE, Harvey BJ, Rother MT, Donato DC, Morgan P, Veblen TT (2018) Evidence for declining forest resilience to wildfires under climate change. Ecology Lett. 21(2):243–252.Crossref, Google Scholar
• Stowell JD, Geng G, Saikawa E, Chang HH, Fu J, Yang CE, Zhu Q, Liu Y, Strickland MJ (2019) Associations of wildfire smoke PM2.5 exposure with cardiorespiratory events in Colorado 2011–2014. Environ. Internat. 133(A):105151.Crossref, Google Scholar
• Thompson M, Bowden P, Brough A, Scott J, Gilbertson-Day J, Taylor A, Anderson J, Haas J (2016) Application of wildfire risk assessment results to wildfire response planning in the southern Sierra Nevada, California, USA. Forests 7(12):64.Crossref, Google Scholar
• Thompson MP, Wei Y, Calkin DE, O’Connor CD, Dunn CJ, Anderson NM, Hogland JS (2019) Risk management and analytics in wildfire response. Current Forestry Rep. 5(4):226–239.Crossref, Google Scholar
• Touma D, Stevenson S, Swain DL, Singh D, Kalashnikov DA, Huang X (2022) Climate change increases risk of extreme rainfall following wildfire in the western United States. Sci. Adv. 8(13):eabm0320.Crossref, Google Scholar
• United Nations Environment Programme (2022) Spreading like wildfire: The rising threat of extraordinary landscape fires. Report, United Nations Environment Programme, Nairobi, Kenya.Google Scholar
• U.S. Forest Service. Comparative risk assessment framework and tools. Accessed March 1, 2023, https://craft.forestthreats.org/index.htm.Google Scholar
• U.S. Office of Personnel Management (2009) Introduction to the position classification standards. Report, U.S. Office of Personnel Management, Washington, DC.Google Scholar
• Wei Y, Bevers M, Belval EJ (2015a) Designing seasonal initial attack resource deployment and dispatch rules using a two-stage stochastic programming procedure. Forest Sci. 61(6):1021–1032.Crossref, Google Scholar
• Wei Y, Bevers M, Belval E, Bird B (2015b) A chance-constrained programming model to allocate wildfire initial attack resources for a fire season. Forest Sci. 61(2):278–288.Crossref, Google Scholar
• Wolsey LA (2021) Integer Programming, 2nd ed. (Wiley, Hoboken, NJ).Google Scholar