scholarly journals A Subjective Measure of Forest Fire Management Effectiveness

1978 ◽  
Vol 54 (3) ◽  
pp. 159-162 ◽  
Author(s):  
D. L. Martell
Keyword(s):  
Lower Bound ◽  
Forest Fire ◽  
Fire Management ◽  
Management Systems ◽  
Subjective Measure ◽  
Management Effectiveness ◽  
Area Burned ◽  
Forest Fire Management ◽  
Subjective Estimates

The effectiveness of forest fire management systems is usually expressed in terms of loss; namely money spent, area burned and property destroyed. The author describes a method of estimating a lower bound for the monetary benefits of fire management efforts. A measure of effectiveness based on dollars spent, together with subjective estimates concerning the dollar value of timber and property saved, is proposed as a supplement to traditional measures of fire management effectiveness.

Global warming and forest fires in Canada

1993 ◽  
Vol 69 (3) ◽  
pp. 290-293 ◽  
Author(s):  
Brian J. Stocks
Keyword(s):  
Global Warming ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Management ◽  
Warming Trend ◽  
Research Activities ◽  
Forest Fire Management ◽  
The Future ◽  
Innovative Thinking ◽  
The Impact

The looming possibility of global warming raises legitimate concerns for the future of the forest resource in Canada. While evidence of a global warming trend is not conclusive at this time, governments would be wise to anticipate, and begin planning for, such an eventuality. The forest fire business is likely to be affected both early and dramatically by any trend toward warmer and drier conditions in Canada, and fire managers should be aware that the future will likely require new and innovative thinking in forest fire management. This paper summarizes research activities currently underway to assess the impact of global warming on forest fires, and speculates on future fire management problems and strategies.

scholarly journals La gestione degli incendi boschivi in Canton Ticino: tentativo di una sintesi storica | Forest fire management in Canton Ticino: attempting a historical overview

2004 ◽  
Vol 155 (7) ◽  
pp. 263-277 ◽  
Author(s):  
Marco Conedera ◽  
Gabriele Corti ◽  
Paolo Piccini ◽  
Daniele Ryser ◽  
Francesco Guerini ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Management ◽  
Southern Alps ◽  
Fire Fighting ◽  
Historical Overview ◽  
Forest Fire Management ◽  
Structural Measures ◽  
The Impact ◽  
Legislative Measures

The Southern Alps, in particular the Canton Ticino, is the region of Switzerland that is most affected by the phenomenon of forest fires. Therefore, the cantonal authorities are continually confronted with problems of prevention, fire fighting and mitigation of the effects of forest fires. In this article forest fire management in Canton Ticino is analyzed in historical terms, verifying in particular the impact of the methods used and the improvement of technology addressing the frequency of events and the extent of burned surfaces. In this way it has been possible to show how a few structural measures (better organization of fire fighting crews and equipment, introduction of aerial fire fighting techniques, electrification followed by construction of shelters along railway lines, etc.) have rather reduced the extent of burned surfaces, while legislative measures such as restrictions of open fires help to reduce the number of forest fires.

scholarly journals Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 507
Author(s):  
Wenyuan Ma ◽  
Zhongke Feng ◽  
Zhuxin Cheng ◽  
Shilin Chen ◽  
Fengge Wang
Keyword(s):  
Random Forest ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Management ◽  
Fire Hazard ◽  
Management Strategies ◽  
Driving Factors ◽  
Socioeconomic Variables ◽  
Forest Fire Management ◽  
Geographical Regions

Reasonable forest fire management measures can effectively reduce the losses caused by forest fires and forest fire driving factors and their impacts are important aspects that should be considered in forest fire management. We used the random forest model and MODIS Global Fire Atlas dataset (2010~2016) to analyse the impacts of climate, topographic, vegetation and socioeconomic variables on forest fire occurrence in six geographical regions in China. The results show clear regional differences in the forest fire driving factors and their impacts in China. Climate variables are the forest fire driving factors in all regions of China, vegetation variable is the forest fire driving factor in all other regions except the Northwest region and topographic variables and socioeconomic variables are only the driving factors of forest fires in a few regions (Northwest and Southwest regions). The model predictive capability is good: the AUC values are between 0.830 and 0.975, and the prediction accuracy is between 70.0% and 91.4%. High fire hazard areas are concentrated in the Northeast region, Southwest region and East China region. This research will aid in providing a national-scale understanding of forest fire driving factors and fire hazard distribution in China and help policymakers to design fire management strategies to reduce potential fire hazards.

scholarly journals Advances in remote sensing and GIS applications in support of forest fire management

2014 ◽  
Vol 23 (5) ◽  
pp. 603 ◽  
Author(s):  
Ioannis Z. Gitas ◽  
Jesús San-Miguel-Ayanz ◽  
Emilio Chuvieco ◽  
Andrea Camia
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Fire Management ◽  
Remote Sensing And Gis ◽  
Gis Applications ◽  
Forest Fire Management

scholarly journals Use of Real-Time Multisatellite and Radar Data to Support Forest Fire Management

1998 ◽  
Vol 13 (3) ◽  
pp. 592-605 ◽  
Author(s):  
Gary L. Hufford ◽  
H. Lee Kelley ◽  
William Sparkman ◽  
Raymond K. Moore
Keyword(s):  
Real Time ◽  
Forest Fire ◽  
Fire Management ◽  
Radar Data ◽  
Forest Fire Management

Valuing Weather Observation Systems For Forest Fire Management

2008 ◽  
Vol 2 (3) ◽  
pp. 349-357 ◽  
Author(s):  
N. Khabarov ◽  
E. Moltchanova ◽  
M. Obersteiner
Keyword(s):  
Forest Fire ◽  
Fire Management ◽  
Forest Fire Management ◽  
Observation Systems ◽  
Weather Observation
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