Calorific Value of Leaves of Selected Dipterocarp Trees Species in Piah Forest Reserve, Perak

Information on calorific value is very important factor in fuel evaluation. The objective of the study was to investigate the calorific values of the leaves of five (5) selected trees species of dipterocarp in Piah Forest Reserve, Perak, Malaysia. The species are Hopea sp., Shorea parvifolia, Shorea leprosula, Shorea macroptera and Dipterocarpus sp. The calorific values were determined using the Adiabatic Bomb Calorimeter. The difference of calorific value between the five species were also examined. It was found that, the mean calorific value for the dipterocarp species were within the range of 4041.28 Cal g-1 to 4820.78 Cal g-1. The leaves of the Shorea macroptera contain higher calorific value compared to other four species. The findings will be useful in the preparation of forest fire management plan, and also in the development of bioenergy project of wood-based biomass from forest species.

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Global warming and forest fires in Canada

The Forestry Chronicle ◽

10.5558/tfc69290-3 ◽

1993 ◽

Vol 69 (3) ◽

pp. 290-293 ◽

Cited By ~ 47

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.

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Review of Geoinformatics-Based Forest Fire Management Tools for Integrated Fire Analysis

Polish Journal of Environmental Studies ◽

10.15244/pjoes/135614 ◽

2021 ◽

Author(s):

Stavros Sakellariou ◽

Athanassios Sfougaris ◽

Olga Christopoulou

Keyword(s):

Forest Fire ◽

Fire Management ◽

Management Tools ◽

Forest Fire Management

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

Schweizerische Zeitschrift fur Forstwesen ◽

10.3188/szf.2004.0263 ◽

2004 ◽

Vol 155 (7) ◽

pp. 263-277 ◽

Cited By ~ 11

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.

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The use of aircraft tracking GPS data to develop models of the use of airtankers in forest fire management

INFOR Information Systems and Operational Research ◽

10.1080/03155986.2019.1706398 ◽

2019 ◽

Vol 57 (4) ◽

pp. 535-562

Author(s):

Nicholas A. Clark ◽

David L. Martell

Keyword(s):

Forest Fire ◽

Fire Management ◽

Gps Data ◽

Forest Fire Management ◽

Aircraft Tracking

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Promises and dilemmas in forest fire management decision-making: Exploring conditions for community engagement in Australia and Sweden

Forest Policy and Economics ◽

10.1016/j.forpol.2017.03.020 ◽

2017 ◽

Vol 80 ◽

pp. 133-140 ◽

Cited By ~ 8

Author(s):

Katarina Eckerberg ◽

Marleen Buizer

Keyword(s):

Decision Making ◽

Community Engagement ◽

Forest Fire ◽

Fire Management ◽

Management Decision ◽

Forest Fire Management ◽

Management Decision Making

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

Forests ◽

10.3390/f11050507 ◽

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.

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