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Journal of Resources and Ecology 2012年第2期3卷 105-117页

作者：李晓炜傅国斌 Melanie J. B. ZEPPEL 于秀波赵刚 Derek EAMUS 于强中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室北京100101 中国科学院研究生院北京100049 澳大利亚联邦科学与工业研究组织(CSIRO)土地与水资源处麦考瑞大学生物科学系中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室北京100101 悉尼科技大学环境学院

fire weather indices have been widely applied to predict fire risk in many regions of the world. The objectives of this study were to establish fire risk probability models based on fire indices over different climatic regions in China. We linked the indices adopted in Canadian, US, and Australia with location, time, altitude, vegetation and fire characteristics during 1998-2007 in four regions using semi- parametric logistic （SPL） regression models. Different combinations of fire risk indices were selected as explanatory variables for specific regional probability model. SPL regression models of probability of fire ignition and large fire events were established to describe the non-linear relationship between fire risk indices and fire risk probabilities in the four regions. Graphs of observed versus estimated probabilities, fire risk maps, graphs of numbers of large fire events were produced from the probability models to assess the skill of these models. fire ignition in all regions showed a significant link with altitude and NDVI. Indices of fuel moisture are important factors influencing fire occurrence in northern China. The fuel indices of organic material are significant indicators of fire risk in southern China. Besides the well skill of predicting fire risk, the probability models are a useful method to assess the utility of the fire risk indices in estimating fire events. The analysis presents some of the dynamics of climate-fire interactions and their value for management systems.

关键词： climate forest fire meteorological risk fire risk indices semi-parametric logistic regression model

Growth characteristic,productivity and nutritive value of forages by reseeding methods in forest fire burnt pasture

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Growth characteristic,productivity and nutritive value of fo...

Numerical Studies of Wind Speed Fields in Front of forest fire Fronts

ⅩⅪ International Grassland Congress and the Ⅷ International Rangeland Congress

作者： J.K.Lee S.H.Yoon Y.C.Lim B.S.Jeon K.Y.Kim K.J.Choi H.S.Park S.Seo Grassland & Forages Division National Institute of Animal Science RDACheonanChungnam 330-801Korea

＜正＞Introduction Periodic burning is a management tool used to rejuvenate old stands of *** maintains the vegetation in a more youthful and productive state for *** a plant responds to fire depends on the height above ground of its growing points,a function of plant maturity and plant-growth *** imformation is known about the use of fire on cool-season ***,these may include many of the same objectives associated with burning,such as woody

关键词： forest fire pasture reseeding dry matter yield nutritive value

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forestry Studies in China 2001年第2期3卷 39-43页

作者：崔文彬乔启宇何龙北京林业大学工学院北京100083 东北林业大学哈尔滨150040

In the study a fire and fire environment model is set up and by using PHEONICS software 3 cases of surface fires are studied. The results fit the experimental studies well generally. The simulation reveals that (1) The wind speed fields in front of fire front generally can be divided into 3 zones and there is always an eddy immediately at the corner between just in front of the fire and the ground. (2) The shape and dimension of the division of the 3 zones is mainly decided by slope angle and ambient wind speed given fire line intensity. (3) There exits an upwind zone in front of fire front. Ambient wind speeds have little effect on the magnitude of the upwind speed when slope angle is 0. But when the slope angle is negative, the upwind is apparently stronger.

关键词： forest fire surface fire numerical simulation wind speed

Study on the Relationship among forest fire,Temperature and Precipitation and Its Spatial-temporal Variability in China

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Agricultural Science & Technology 2011年第9期12卷 1396-1400页

作者：吕爱锋中国科学院地理科学与资源研究所北京100101

[Objective] The aim was to discuss the relationship between forest fire and meterological elements （precipitation and temprature） in each region of China.[Method] Firstly,the average precipitation and temperature in forest area of each province in fire season were obtained based on meterological data,forest distribution data,seasonal and monthly data of forest fire in ***,the relationship among forest fire area,precipitation and temperature was discussed through temporal and correlation analysis.[Result] The changes of precipitation and temperature with time could reflect the annual variation of fire area *** fire area went up with the decrease of precipitation and increase of temprature,and visa ***,there existed diffirences in the relationship in various regions over *** analyses revealed that there was positive correlation between forest fire area and temperature,especailly Northwest China （R=0.367,P〈0.01）,Southwest China （R=0.327,P〈0.05）,South China （R=0.33,P〈0.05）,East China （R=0.516,P〈0.01） and Xinjiang （R=0.447,P〈0.05） with obviously positive *** the same time,the correlation between forest fire area and precipitation was significantly positive in Northwest China （R=0.482,P〈0.01）,while it was significantly negaive in South China （R=-0.323,P=0.03）,but there was no significant correlation in other regions.[Conclusion] Relationships between forest fire and meteorological elements （precipitation and temprature） revealed in the study would be useful for fire provention and early warning in China.

关键词： forest fire Precipitation Temperature Spatial-temporal variability

A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies

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Journal of forestry Research 2024年第5期35卷 1-13页

作者： Li Meng Jim O’Hehir Jing Gao Stefan Peters Anthony Hay University of South Australia AdelaideSAAustralia Esk Spatial InvermayTASAustralia

Bushfires are devastating to forest managers,owners,residents,and the natural *** tech-nological advances indicate a potential for faster response times in terms of detecting and suppressing ***,to date,all these technologies have been applied in *** paper introduces the latest fire detection and sup-pression technologies from ground to *** operations research method was used to assemble these technologies into a theoretical framework for fire detection and *** framework harnesses the advantages of satellite-based,drone,sensor,and human reporting technologies as well as image processing and artificial intelligence machine *** study concludes that,if a system is designed to maximise the use of available technologies and carefully adopts them through complementary arrangements,a fire detection and resource suppression system can achieve the ultimate aim:to reduce the risk of fire hazards and the dam-age they may cause.

关键词： forest fire Resource suppression Smart fire detection and suppression system forest fire management Holistic system

Assessment of large-scale multiple forest disturbance susceptibilities with AutoML framework: an Izmir Regional forest Directorate case

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Journal of forestry Research 2024年第4期35卷 73-88页

作者： Remzi Eker Kamber Can Alkiş Abdurrahim Aydın Department of forest Engineering Faculty of ForestryIzmir KatipÇelebi University35620 IzmirTurkey Graduate School of Natural and Applied Sciences Izmir KatipÇelebi University35620 IzmirTurkey Department of forest Engineering Faculty of ForestryDüzce University81620 DüzceTurkey

Disturbances such as forest fires,intense winds,and insect damage exert strong impacts on forest ecosystems by shaping their structure and growth dynamics,with contributions from climate ***,there is a need for reliable and operational methods to monitor and map these disturbances for the development of suitable management *** susceptibility assessment using machine learning methods has increased,most studies have focused on a single ***,there has been limited exploration of the use of“Automated Machine Learning(AutoML)”in the *** this study,susceptibility assessment for multiple forest disturbances(fires,insect damage,and wind damage)was conducted using the PyCaret AutoML framework in the Izmir Regional forest Directorate(RFD)in *** AutoML framework compared 14 machine learning algorithms and ranked the best models based on AUC(area under the curve)*** extra tree classifier(ET)algorithm was selected for modeling the susceptibility of each disturbance due to its good performance(AUC values>0.98).The study evaluated susceptibilities for both individual and multiple disturbances,creating a total of four susceptibility maps using fifteen driving factors in the *** to the results,82.5%of forested areas in the Izmir RFD are susceptible to multiple disturbances at high and very high ***,a potential forest disturbances map was created,revealing that 15.6%of forested areas in the Izmir RFD may experience no damage from the disturbances considered,while 54.2%could face damage from all three *** SHAP(Shapley Additive exPlanations)methodology was applied to evaluate the importance of features on prediction and the nonlinear relationship between explanatory features and susceptibility to disturbance.

关键词： AutoML forest disturbances forest fire Insect Susceptibility Wind

Severe Global Environmental Issues Caused by Canada’s Record-Breaking Wildfires in 2023

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Advances in Atmospheric Sciences 2024年第4期41卷 565-571页

作者： Zhe WANG Zifa WANG Zhiyin ZOU Xueshun CHEN Huangjian WU Wending WANG Hang SU Fang LI Wenru XU Zhihua LIU Jiaojun ZHU State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Institute of Applied Ecology Chinese Academy of SciencesShenyang 110016China

Due to the record-breaking wildfires that occurred in Canada in 2023,unprecedented quantities of air pollutants and greenhouse gases were released into the *** wildfires had emitted more than 1.3 Pg CO_(2)and 0.14 Pg CO_(2)equivalent of other greenhouse gases(GHG)including CH4 and N_(2)O as of 31 *** wildfire-related GHG emissions constituted more than doubled Canada’s planned cumulative anthropogenic emissions reductions in 10 years,which represents a significant challenge to climate mitigation *** model simulations showed that the Canadian wildfires impacted not only the local air quality but also that of most areas in the northern hemisphere due to long-range transport,causing severe PM_(2.5)pollution in the northeastern United States and increasing daily mean PM_(2.5)concentration in northwestern China by up to 2μg *** observed maximum daily mean PM_(2.5)concentration in New York City reached 148.3μg m-3,which was their worst air quality in more than 50 years,nearly 10 times that of the air quality guideline(i.e.,15μg m-3)issued by the World Health Organization(WHO).Aside from the direct emissions from forest fires,the peat fires beneath the surface might smolder for several months or even longer and release substantial amounts of CO_(2).The substantial amounts of greenhouse gases from forest and peat fires might contribute to the positive feedback to the climate,potentially accelerating global *** better understand the comprehensive environmental effects of wildfires and their interactions with the climate system,more detailed research based on advanced observations and Earth System Models is essential.

关键词： Canada forest fire greenhouse gases PM_(2.5) transboundary air pollution

Assessing fire severity in Turkey's forest ecosystems using spectral indices from satellite images

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林业研究:英文版 2023年第6期34卷 1747-1761页

作者： Coşkun Okan Güney Ahmet Mert Serkan Gülsoy Department of forest fires Aegean Forestry Research Institute35430 IzmirTurkey Department of Wildlife Ecology and Management Faculty of ForestryIsparta University of Applied Science32260 IspartaTurkey Department of Soil Science and Ecology Faculty of ForestryIsparta University of Applied Science32260 IspartaTurkey

fire severity classifications determine fire damage and regeneration potential in post-fire areas for effective implementation of restoration *** fire damage varies according to vegetation and fire characteristics,regional assessment of fire severity is *** objectives of this study were:(1)to test the performance of different satellite imagery and spectral indices,and two field—measured severity indices,CBI(Composite Burn Index)and GeoCBI(Geometrically structured Composite Burn Index)to assess fire severity;(2)to calculate classification thresholds for spectral indices that performed best in the study areas;and(3)to generate fire severity maps that could be used to determine the ecological impact of forest *** large fires in Pinus brutia(Turkish pine)and Pinus nigra *** ***(Anatolian black pine)—dominated forests during 2020 and 2021 were selected as study *** results show that GeoCBI provided more reliable estimates of field—measured fire severity than *** Sentinel-2 and Landsat-8/OLI images performed similarly well,MODIS performed *** severity classification thresholds were determined for Sentinel-2 based RdNBR,dNBR,dSAVI,dNDVI,and dNDMI and Landsat-8/OLI based dNBR,dNDVI,and *** several spectral indices,the highest accuracy for fire severity classification was found for Sentinel-2 based RdNBR(72.1%)and Landsat-8/OLI based dNBR(69.2%).The results can be used to assess and map fire severity in forest ecosystems similar to those in this study.

关键词： Remote sensing forest fire fire severity Spectral indices Composite burn index

Estimation of gases emitted by forest fires based on remote sensing data

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Journal of forestry Research 2016年第2期27卷 369-378页

作者： Qiang Wang Futao Guo Haiqing Hu Sen Jin Zhangwen Su forestry College Northeast Forestry UniversityHarbin 150040People's Republic of China Fujian Agriculture and forestry University Fuzhou 350002People's Republic of China

forest fire, an important agent for change in many forest ecosystems, plays an important role in atmo- spheric chemical cycles and the carbon cycle. The primary emissions from forest fire, CO2, CO, CH4, long-chained hydrocarbons and volatile organic oxides, however, have not been well quantified. Quantifying the carbonaceous gas emissions of forest fires is a critical part to better under- stand the significance of forest fire in calculating carbon balance and forecasting climate change. This study uses images from Enhanced Thematic Mapper Plus （ETM＋） on the Earth-observing satellite LANDSAT-7 for the year 2005 to estimate the total gases emitted by the 2006 Kanduhe forest fire in the Daxing＇an Mountains. Our results suggest that the fire emitted approximately 149,187.66 t CO2, 21,187.70 t CO, 1925.41 t CxHy, 470.76 t NO and 658.77 t SO2. In addition, the gases emitted from larch forests were significantly higher than from both broadleaf-needle leaf mixed forests and broadleaf mixed forests.

关键词： forest fire Gases estimation Daxing'anMountains China Fuel load estimation Fuel loadconsumption Greenhouse gases Carbon