Introduction: Integrating spatial technologies and ecological principles for a new age in fire management

2001 ◽  
Vol 10 (4) ◽  
pp. 263 ◽  
Author(s):  
Greg E. Gollberg ◽  
Leon F. Neuenschwander ◽  
Kevin C. Ryan

Guest Editors

2001 ◽  
Vol 10 (4) ◽  
pp. 267 ◽  
Author(s):  
Susan G. Conard ◽  
Timothy Hartzell ◽  
Michael W. Hilbruner ◽  
G. Thomas Zimmerman

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 ‘The earth, born in fire, baptized by lightning since before life"s beginning, has been and is a fire planet.’ E.V. Komarek Attitudes and policies concerning wildland fire, fire use, and fire management have changed greatly since early European settlers arrived in North America. Active suppression of wildfires accelerated early in the 20th Century, and areas burned dropped dramatically. In recent years, burned areas and cost of fires have begun to increase, in part due to fuel buildups resulting from fire suppression. The importance of fire as an ecosystem process is also being increasingly recognized. These factors are leading to changes in Federal agency fire and fuels management policies, including increased emphasis on use of prescribed fire and other treatments to reduce fuel loads and fire hazard. Changing fire management strategies have highlighted the need for better information and improved risk analysis techniques for setting regional and national priorities, and for monitoring and evaluating the ecological, economic, and social effects and tradeoffs of fuel management treatments and wildfires. The US Department of Interior and USDA Forest Service began the Joint Fire Science Program in 1998 to provide a sound scientific basis for implementing and evaluating fuel management activities. Development of remote sensing and GIS tools will play a key role in enabling land managers to evaluate hazards, monitor changes, and reduce risks to the environment and the public from wildland fires.


2006 ◽  
Vol 234 ◽  
pp. S265
Author(s):  
A. Couto-Vázquez ◽  
J. Mahía ◽  
M. Díaz-Raviña ◽  
T. Carballas ◽  
S.J. González-Prieto

2001 ◽  
Vol 10 (4) ◽  
pp. 321 ◽  
Author(s):  
Russell G. Congalton

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 Today, validation or accuracy assessment is an integral component of most mapping projects incorporating remotely sensed data. Other spatial information may not be so stringently evaluated, but at least requires meta-data that documents how the information was generated. This emphasis on data quality was not always the case. In the 1970s only a few brave scientists and researchers dared ask the question, ‘How good is this map derived from Landsat MSS imagery?’ In the 1980s, the use of the error matrix became a common tool for representing the accuracy of individual map categories. By the 1990s, most maps derived from remotely sensed imagery were required to meet some minimum accuracy standard. A similar progression can be outlined for other spatial information. However, this progression is about 5 years behind the validation of remotely sensed data. This paper presents a series of steps moving towards better assessment and validation of spatial information and asks the reader to evaluate where they are in this series and to move forward.


2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Musa Musa

This research was conducted to determine the Effectiveness of Jakarta Siaga 112 Emergency Services in Fire Management by UPT. Disaster Data & Information Center of BPBD DKI Jakarta Province by paying attention to aspects contained in the Effectiveness of the Jakarta Siaga Emergency Service Program 112. The research method was carried out with a case study method with data collection techniques using interview methods and document review. Interviews were conducted on 10 (ten) key informants, document review focused on documents related to the Jakarta Emergency Alert Service 112 Effectiveness research in Fire Management. The results showed that the Effectiveness of Jakarta Siaga 112 Emergency Services in Fire Management by UPT. The Center for Disaster Data & Information BPBD DKI Jakarta Province Its effectiveness is still low, due to the Implementation of Emergency Services Jakarta Standby 112 in Fire Management implemented by UPT. Disaster Data & Information Center of BPBD DKI Jakarta Province in terms of the Target Group Understanding of the Program, the Achievement of the Program Objectives aspects, and the Program Follow-up aspects. It is recommended to continue to disseminate this Emergency Service to the public, it is necessary to increase the firm commitment of the Head of 8 SKPD related to fire management so that all units play a role in accordance with the Standard Operating Procedures (SOPs) for Fire Management and the evaluation and follow-up of program services that are held periodically 3 once a month.Keywords: Effectiveness, Emergency Services, Fire Handling


2011 ◽  
Vol 20 (8) ◽  
pp. 909 ◽  
Author(s):  
T. D. Penman ◽  
O. Price ◽  
R. A. Bradstock

Wildfire can result in significant economic costs with inquiries following such events often recommending an increase in management effort to reduce the risk of future losses. Currently, there are no objective frameworks in which to assess the relative merits of management actions or the synergistic way in which the various combinations may act. We examine the value of Bayes Nets as a method for assessing the risk reduction from fire management practices using a case study from a forested landscape. Specifically, we consider the relative reduction in wildfire risk from investing in prescribed burning, initial or rapid attack and suppression. The Bayes Net was developed using existing datasets, a process model and expert opinion. We compared the results of the models with the recorded fire data for an 11-year period from 1997 to 2000 with the model successfully duplicating these data. Initial attack and suppression effort had the greatest effect on the distribution of the fire sizes for a season. Bayes Nets provide a holistic model for considering the effect of multiple fire management methods on the risk of wildfires. The methods could be further advanced by including the costs of management and conducting a formal decision analysis.


2020 ◽  
Vol 144 (5-6) ◽  
pp. 279-288
Author(s):  
Abdullah E. Akay ◽  
Michael Wing ◽  
Halit Büyüksakalli ◽  
Salih Malkoçoglu

Effective forest fire fighting involves alerting firefighting teams immediately in the case of a fire so that teams can promptly arrive the fire scene. The most effective way for an early detection of forest fires is monitoring of forest lands from fire lookout towers. Especially in fire sensitive forest lands, towers should be systematically located in such a way that fire lookout personnel can monitor the largest amount of forest land as possible. In this study, the visibility capabilities of lookout towers located in Köyceğiz Forest Enterprise Directorate (FED)in the city of Muğla in Turkey were evaluated by using Geographical Information System (GIS) based visibility and suitability analysis. The results of visibility analysis indicated that 77.12% of forest land were visible from the current towers. To extend the proportion of visible forest lands, locations of additional lookout towers were evaluated using spatial visibility and suitability analysis in which the tower locations were examined by considering specific criteria (i.e. distance to roads, elevation, ground slope, topographic features). Suitability analysis results identified five new towers in addition to current towers in the study area. The results indicated that visible forest lands increased to 81.47% by locating new towers, and increase of almost 4.35%. In addition, over half of the forests became visible by at least two towers when including five towers suggested by suitability analysis. The GIS-based method developed in this study can assist fire managers to determine the optimal locations for fire lookout towers for effective fire management activities.


2001 ◽  
Vol 10 (4) ◽  
pp. 343 ◽  
Author(s):  
Patricia L. Andrews ◽  
LLoyd P. Queen

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 Fire modeling and information system technology play an important supporting role in fuel and fire management. Modeling is used to examine alternative fuel treatment options, project potential ecosystem changes, and assess risk to life and property. Models are also used to develop fire prescriptions, conduct prescribed fire operations, and predict fire behavior. Fire models and information systems have greatly influenced fuel assessment methods. As an example, we examine the evolution of technology used to put Rothermel’s fire spread model into application. A review of fire and fuel modeling terminology is given, and the relationship between fire models and fuel models is explained. We review current fire modeling work and the influence that it will have on fuel characterization. Finally, we discuss opportunities and challenges involved in the use of advanced computers, the Internet, Geographic Information Systems (GIS), and remote sensing in fire and fuel management.


2010 ◽  
Vol 19 (1) ◽  
pp. iii ◽  
Author(s):  
Miguel G. Cruz ◽  
Martin E. Alexander ◽  
Ronald H. Wakimoto

Application of crown fire behavior models in fire management decision-making have been limited by the difficulty of quantitatively describing fuel complexes, specifically characteristics of the canopy fuel stratum. To estimate canopy fuel stratum characteristics of four broad fuel types found in the western United States and adjacent areas of Canada, namely Douglas-fir, ponderosa pine, mixed conifer, and lodgepole pine forest stands, data from the USDA Forest Service's Forest Inventory and Analysis (FIA) database were analysed and linked with tree-level foliage dry weight equations. Models to predict canopy base height (CBH), canopy fuel load (CFL) and canopy bulk density (CBD) were developed through linear regression analysis and using common stand descriptors (e.g. stand density, basal area, stand height) as explanatory variables. The models developed were fuel type specific and coefficients of determination ranged from 0.90 to 0.95 for CFL, between 0.84 and 0.92 for CBD and from 0.64 to 0.88 for CBH. Although not formally evaluated, the models seem to give a reasonable characterization of the canopy fuel stratum for use in fire management applications.


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