Articles citing this paper
The influence of incident management teams on the deployment of wildfire suppression resources
Michael Hand A C , Hari Katuwal B , David E. Calkin A and Matthew P. Thompson A
+ Author Affiliations
- Author Affiliations
A US Department of Agriculture Forest Service,Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT 59801, USA.
B University of Montana, 32 Campus Drive, Missoula, MT 59812, USA.
C Corresponding author. Email: mshand@fs.fed.us
International Journal of Wildland Fire 26(7) 615-629 https://doi.org/10.1071/WF16126
Submitted: 14 July 2016 Accepted: 24 February 2017 Published: 26 April 2017
28 articles found in Crossref database.
Modelling decisions concerning the dispatch of airtankers for initial attack on forest fires in Ontario, Canada
Wheatley Melanie,
Wotton B. Mike,
Woolford Douglas G.,
Martell David L., Johnston Joshua M.
Canadian Journal of Forest Research. 2023 53(4). p.217
The Economics of Wildfire in the United States
Bayham Jude,
Yoder Jonathan K.,
Champ Patricia A., Calkin David E.
Annual Review of Resource Economics. 2022 14(1). p.379
Wildfire Response Performance Measurement: Current and Future Directions
Thompson Matthew,
Lauer Christopher,
Calkin David,
Rieck Jon,
Stonesifer Crystal, Hand Michael
Fire. 2018 1(2). p.21
A review of challenges to determining and demonstrating efficiency of large fire management
Thompson Matthew P.,
Rodríguez y Silva Francisco,
Calkin David E., Hand Michael S.
International Journal of Wildland Fire. 2017 26(7). p.562
Rethinking the Wildland Fire Management System
Thompson Matthew P,
MacGregor Donald G,
Dunn Christopher J,
Calkin David E, Phipps John
Journal of Forestry. 2018 116(4). p.382
Estimating wildfire suppression costs: a systematic review
Mattioli W.,
Ferrara C.,
Lombardo E.,
Barbati A.,
Salvati L., Tomao A.
International Forestry Review. 2022 24(1). p.15
The Costs and Costs Avoided From Wildfire Fire Management—A Conceptual Framework for a Value of Information Analysis
Simon Benjamin,
Crowley Christian, Franco Fabiano
Frontiers in Environmental Science. 2022 10
Cost Plus Net Value Change (C+NVC) Revisited: A Sequential Formulation of the Wildfire Economics Model
Rossi David, Kuusela Olli-Pekka
Forest Science. 2019 65(2). p.125
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
A Temporal Framework of Large Wildfire Suppression in Practice, a Qualitative Descriptive Study
Simpson ,
Bradstock , Price
Forests. 2019 10(10). p.884
Risk Management and Analytics in Wildfire Response
Thompson Matthew P.,
Wei Yu,
Calkin David E.,
O’Connor Christopher D.,
Dunn Christopher J.,
Anderson Nathaniel M., Hogland John S.
Current Forestry Reports. 2019 5(4). p.226
Spatial optimization of operationally relevant large fire confine and point protection strategies: model development and test cases
Wei Yu,
Thompson Matthew P.,
Haas Jessica R.,
Dillon Gregory K., O’Connor Christopher D.
Canadian Journal of Forest Research. 2018 48(5). p.480
Modelling suppression difficulty: current and future applications
Rodríguez y Silva Francisco,
O'Connor Christopher D.,
Thompson Matthew P.,
Molina Martínez Juan Ramón, Calkin David E.
International Journal of Wildland Fire. 2020 29(8). p.739
A Historical Perspective to Inform Strategic Planning for 2020 End-of-Year Wildland Fire Response Efforts
Belval Erin J.,
Short Karen C.,
Stonesifer Crystal S., Calkin David E.
Fire. 2022 5(2). p.35
A Model-Based Framework to Evaluate Alternative Wildfire Suppression Strategies
Riley Karin,
Thompson Matthew,
Scott Joe, Gilbertson-Day Julie
Resources. 2018 7(1). p.4
The influence of risk attitudes on suppression spending and on wildland fire program budgeting
Rossi David, Kuusela Olli-Pekka
Forest Policy and Economics. 2020 113 p.102087
Characterising resource use and potential inefficiencies during large-fire suppression in the western US
Katuwal Hari,
Dunn Christopher J., Calkin David E.
International Journal of Wildland Fire. 2017 26(7). p.604
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2019)
Weather, Risk, and Resource Orders on Large Wildland Fires in the Western US
Bayham Jude,
Belval Erin J.,
Thompson Matthew P.,
Dunn Christopher,
Stonesifer Crystal S., Calkin David E.
Forests. 2020 11(2). p.169
Contain and Control: Wildfire Suppression Effectiveness at Incidents and Across Landscapes
Plucinski Matt P.
Current Forestry Reports. 2019 5(1). p.20
Patterns of wildfire risk in the United States from systematic operational risk assessments: how risk is characterised by land managers
Noonan-Wright Erin, Seielstad Carl A.
International Journal of Wildland Fire. 2021 30(8). p.569
Evidence of effectiveness in the Cohesive Strategy: measuring and improving wildfire response
Steelman Toddi, Nowell Branda
International Journal of Wildland Fire. 2019 28(4). p.267
Assessing the role of short-term weather forecasts in fire manager tactical decision-making: a choice experiment
Rapp Claire E.,
Wilson Robyn S.,
Toman Eric L., Jolly W. Matt
Fire Ecology. 2021 17(1).
A method for estimating the socioeconomic impact of Earth observations in wildland fire suppression decisions
Herr Vincent,
Kochanski Adam K.,
Miller Van V.,
McCrea Rich,
O'Brien Dan, Mandel Jan
International Journal of Wildland Fire. 2020 29(3). p.282
Towards enhanced risk management: planning, decision making and monitoring of US wildfire response
Dunn Christopher J.,
Calkin David E., Thompson Matthew P.
International Journal of Wildland Fire. 2017 26(7). p.551
Multiple social and environmental factors affect wildland fire response of full or less-than-full suppression
Daniels Molly C.,
Braziunas Kristin H.,
Turner Monica G.,
Ma Ting-Fung,
Short Karen C., Rissman Adena R.
Journal of Environmental Management. 2024 351 p.119731
Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters
Lioliopoulos Panagiotis,
Oikonomou Panagiotis,
Boulougaris Georgios, Kolomvatsos Kostas
Sensors. 2024 24(7). p.2273
Understand Daily Fire Suppression Resource Ordering and Assignment Patterns by Unsupervised Learning
Wei Yu,
Thompson Matthew P.,
Belval Erin J.,
Calkin David E., Bayham Jude
Machine Learning and Knowledge Extraction. 2020 3(1). p.14
