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Spatiotemporal changes in forest loss and its linkage to burned areas in China

Journal of Forestry Research 2020年第6期31卷 2525-2536页

作者： Zhiwei Wu Saijia Yan Lei He yanlong shan Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchang 330022People’s Republic of China School of Geography and Environment Jiangxi Normal UniversityNanchang 330022People’s Republic of China Jiangxi Provincial Key Laboratory of Poyang Lake Comprehensive Management and Resource Development Jiangxi Normal UniversityNanchang 330022People’s Republic of China Forestry College Beihua UniversityJilin 132013People’s Republic of China

Fire-induced forest loss has substantially increased worldwide over the last *** China,the connection between forest loss and frequent fi res on a national scale remains largely *** this study,we used a data set for a time-series of forest loss from the Global Forest Watch and for a MODIS-derived burned area for 2003–2015 to ascertain variations in forest loss and to explore its relationship with forest fi res(represented by burned areas)at the country-and forest-zone *** quantifi ed trends in forest loss during 2003–2015 using linear regression analysis and assessed the relation between forest loss and burned areas using Spearman’s *** loss increased signifi cantly(264.8 km 2 a−1;R 2=0.54,p<0.01)throughout China,with an average annual increase of 11.4%during 2003–***,the forest loss trend had extensive spatial *** loss increased mainly in the subtropical evergreen broadleaf forest zone(315.0 km 2 a−1;R 2=0.69,p<0.01)and tropical rainforest zone(38.8 km 2 a−1;R 2=0.66,p<0.01),but the loss of forest decreased in the cold temperate deciduous coniferous forest zone(−70.8 km 2 year−1;R 2=0.75,p<0.01)and the temperate deciduous mixed broadleaf and coniferous forest zone(−14.4 km 2 a−1;R 2=0.45,p<0.05).We found that 1.0%of China’s area had a signifi cant positive correlation(r≥0.55,p<0.05)with burned areas and 0.3%had a signifi cant negative correlation(r≤−0.55,p<0.05).In particular,forest loss had a signifi cant positive relationship with the burned area in the cold temperate deciduous coniferous forest zone(16.9% of the lands)and the subtropical evergreen broadleaf forest zone(7.8%).These results provide a basis for future predictions of fi re-induced forest loss in China.

关键词： Forest loss Forest fire Burned area Spatiotemporal variability Correlation analysis

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Characterizing and predicting smoldering temperature variations based on non-linear mixed effects models

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Journal of Forestry Research 2022年第6期33卷 1829-1839页

作者： Sainan Yin yanlong shan Bo Gao Shuyuan Tang Xiyue Han Guojiang Zhang Bo Yu shan Guan Science and Technology Innovation Center of Wildland Fire Prevention and Control Beihua University3999 Binjiang East RoadJilin City 132013JilinPeople’s Republic of China Forestry College Beihua University3999 Binjiang East RoadJilin City 132013JilinPeople’s Republic of China

Underground fires are slow spreading,long-lasting and low temperature smoldering combustion without flames,mainly occurring in peatlands and wetlands with rich organic *** spread of the smoldering is maintained by heat released during combustion and monitoring this is an important approach to detect underground *** Daxing'an Mountains region is a hotspot for underground fires in northeast *** study examined a L arix gmelinii plantation in the Tatou wetlands of the Daxing'an Mountains and determined the maximum temperature variation of humus of varying particle sizes,and the temperature rising process based on non-linear mixed effects models by an indoor combustion *** combustion temperatures up to 897.5°C,increased with humus depth;among the three models tested,Richard's equations were best for characterizing temperature variations;a non-linear equation with three parameters had the highest accuracy in fitting the combustion temperature variations with varying humus particle *** results are informative for predicting temperature variations and provide technical support for underground fire monitoring.

关键词： Underground fire NLME modeling Smoldering temperature Daxing'an mountains

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Spatial and temporal distribution of forest fire frequency and forest area burnt in Jilin Province, Northeast China

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Journal of Forestry Research 2018年第5期29卷 1233-1239页

作者： Qiang Liu yanlong shan Lifu Shu Pingyan Sun Shuai Du Forestry College Beihua University 3999 Binjiangdong Road Jilin 132013 People's Republic of China Jilin Provincial Key Laboratory of Forestry and Ecological Environment Beihua University 3999 Binjiangdong RoadJilin 132013 People's Republic of China The Research Institute of Forest Ecology Environment and Protection Chinese Academy of Forestry State Forestry Administration's Key Open Laboratory of Forest Protection Beijing 100091 People's Republic of China Forestry Department of Jilin Province 3698 Yataida StreetChangchun 130022 People's Republic of China

Forest fires caused by natural forces or human activities are one of the major natural risks in Northeast *** incidence and spatial distribution of these fires vary over time and across the forested areas in Jilin Province,Northeast *** this study,the incidence and distribution of 6519 forest fires from 1969 to 2013 in the province were *** results indicated that the spatiotemporal distribution of the burnt forest area and the fire frequency varied significantly by month,year,and *** occurrence displayed notable temporal patterns in the years after forest fire prevention measures were strictly implemented by the provincial ***,forest fires in Jilin occurred in months when stubble and straw were burned and human activities were intense during traditional Chinese *** city,Jilin city,and Yanbian were defined as fire-prone regions for their high fire *** had the highest frequency,and the fires tended to be large with the highest burned area per *** should thus be listed as the key target area by the fire management agency in Jilin Province for better fire prevention.

关键词： Fire intensity Forest fire Temporal distribution Spatial distribution

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Prediction and driving factors of forest fire occurrence in Jilin Province,China

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Journal of Forestry Research 2024年第1期35卷 58-71页

作者： Bo Gao yanlong shan Xiangyu Liu Sainan Yin Bo Yu Chenxi Cui Lili Cao Wildland Fire Prevention and Fighting Innovation Center of Beihua University Forestry College of Beihua University3999 Binjiang East RoadJilin City 132013People’s Republic of China

Forest fires are natural disasters that can occur suddenly and can be very damaging,burning thousands of square *** is better than suppression and prediction models of forest fire occurrence have developed from the logistic regression model,the geographical weighted logistic regression model,the Lasso regression model,the random forest model,and the support vector machine model based on historical forest fire data from 2000 to 2019 in Jilin *** models,along with a distribution map are presented in this paper to provide a theoretical basis for forest fire management in this *** studies show that the prediction accuracies of the two machine learning models are higher than those of the three generalized linear regression *** accuracies of the random forest model,the support vector machine model,geographical weighted logistic regression model,the Lasso regression model,and logistic model were 88.7%,87.7%,86.0%,85.0%and 84.6%,*** is the main factor affecting forest fires,while the impacts of topography factors,human and social-economic factors on fire occurrence were similar.

关键词： Forest fire Occurrence prediction Forest fire driving factors Generalized linear regression models Machine learning models

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The effects of humus moisture content on underground fires in a Larix gmelinii plantation

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Journal of Forestry Research 2022年第3期33卷 865-873页

作者： Xiyue Han Hening Xu Tiantian Wang Sainan Yin Bo Gao Yajun Wang yanlong shan Beihua University Science and Technology Innovation Center of Wildland Fire Prevention and Control Forestry College of Beihua University3999 Binjiang East RoadJilin City132013Jilin ProvincePeople’s Republic of China

Underground fires are a smoldering combustion with a slow spread rate, low temperatures and no flame. They can last from days to several months, and can even become overwintering fires. They are difficult to find, leading to considerable damage to the forests. The moisture content of combustible fuels is an important factor in the occurrence and persistence of underground forest fires. The Daxing’an Mountains are a hot spot for underground fires in China. This paper looks at the influence of different moisture contents on underground fire characteristics using simulation combustion experiments in the laboratory. The study showed that peak temperature and spread rate fluctuation of humus at different moisture levels increased with humus depth. Peak temperature and spread rate fluctuation of humus at different depths decreased with increased moisture;moisture content and depth of humus had a significant effect on peak temperature and spread rate fluctuation;peak temperature at different depths decreased with increased moisture;the spread rate in upper layers increased with moisture content, while the spread rate in the lower layers decreased with increased moisture content.

关键词： Daxing’an Mountains Underground fire Moisture content Peak temperature Spread rate

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Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China

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Journal of Forestry Research 2019年第6期30卷 2185-2197页

作者： Jing Li yanlong shan Sainan Yin Mingxia Wang Long Sun Daning Wang College of Mathematics and Statistics Beihua University3999 Binjiangdong RoadJilin 132013People’s Republic of China Forestry College Beihua University3999 Binjiangdong RoadJilin 132013People’s Republic of China College of Forestry Northeast Forestry University26 Hexing RoadHarbin 150040People’s Republic of China Changbai Mountain Forest Industry Group Corporation Limited of Jilin Province 99 Changbaishanxi RoadYanji 133000People’s Republic of China

Forest fires are influenced by several factors,including forest location,species type,age and density,date of fire occurrence,temperatures,and wind speeds,among *** study investigates the quantitative effects of these factors on the degree of forest fire disaster using nonparametric statistical methods to provide a theoretical basis and data support for forest fire *** on forest fire damage from 1969 to 2013 was *** results indicate that different forest locations and types,fire occurrence dates,temperatures,and wind speeds were statistically *** eastern regions of the study area experienced the highest fire occurrence,accounting for 85.0%of the total number of fires as well as the largest average forested area ***,May,and October had more frequent fires than other months,accounting for 78.9%,while September had the most extensive forested area burned(63.08 ha)and burnt area(106.34 ha).Hardwood mixed forest and oak forest had more frequent fires,accounting for 31.9%and 26.0%,***-conifer mixed forest had the most forested area burned(50.18 ha)and burnt area(65.09 ha).Temperatures,wind speeds,and their interaction had significant impacts on forested area burned and area burnt.

关键词： Jilin Province Brown–Forsythe method Scheirer-Ray-Hare method Impact factors Forest fire damage

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Spatiotemporal variation in forest fire danger from 1996 to 2010 in Jilin Province,China

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Journal of Forestry Research 2017年第5期28卷 983-996页

作者： yanlong shan Yonghe Wang Mike Flannigan Shuyuan Tang Pingyan Sun Fengguo Du Provincial Key Laboratory of Forestry and Ecological Environment Forestry CollegeBeihua University Northern Forestry Centre Canadian Forest ServiceNatural Resources Canada The Department of Renewable Resources The University of Alberta Forestry College Beihua University Forestry Department of Jilin Province

We evaluated the spatial and temporal patterns of forest fires in two fire seasons (March to June and September to November) from 1996 to 2010 in Jilin Province, China, using the Canadian Forest Fire Weather Index System. Fire data were obtained from the Provincial Fire Agency, and historical climate records of daily weather observations were collected from 36 weather stations in Jilin and its neighboring provinces. A linear regression model was used to analyze linear trends between climate and fire weather indices with time treated as an independent variable. Correlation analysis was used to detect correlations between fire frequency, areas burned, and fire weather indices. A thin-plate smooth spline model was used to interpolate the point data of 36 weather stations to generate a surface covering the whole province. Our analyses indicated fire frequency and areas burned were significantly correlated with fire weather indices. Overall, the Canadian Forest Fire Weather Index System appeared to be work well for determining the fire danger rating in Jilin Province. Also, our analyses indicated that in the forthcoming decades, the overall fire danger in March and April should decrease across the province, but the chance of a large fire in these months would increase. The fire danger in the fall fire season would increase in the future, and the chance of large fire would also increase. Historically, because most fires have occurred in the spring in Jilin Province, such a shift in the future fire danger between the two fire seasons would be beneficial for the province's fire management.

关键词： Canadian Forest Fire Weather Index System Correlation analysis Human-caused fires Linear regression Thin-plate smooth spline model

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A study of emissions and marker gases from smouldering combustion in Larix gmelinii plantations of the Daxing'an Mountains

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Journal of Forestry Research 2022年第1期33卷 195-201页

作者： Shuyuan Tang Sainan Yin yanlong shan Bo Gao Long Sun Xiyue Han Mingxia Wang Mingyu Wang Zongshi Chen Wildland Fire Prevention and Fighting Innovation Center of Beihua University Forestry College of Beihua University3999 Binjiang East RoadJilin City 132013Jilin ProvincePeople’s Republic of China College of Forestry Northeast Forestry University26 Hexing RoadHarbin 150040Heilongjiang ProvincePeople’s Republic of China The Research Institute of Forest Ecology Environment and ProtectionState Forestry and Grassland Administration’s Key Open Laboratory of Forest ProtectionChinese Academy of ForestryBeijing 100091People’s Republic of China

Underground fires are characterized by smouldering combustion with a slow rate of spread rate and without *** smouldering combustion releases large amounts of gaseous pollutants,it is difficult to discover by today's forest fire monitoring *** monoxide(CO),nitrogen oxides(NO_(x))and sulfur dioxide(SO_(2))were identified as high concentration marker gases of smouldering combustion-easily-be *** to a two-way ANOVA,combustion time had a significant impact on CO and NO_(x) emissions;smoldering-depth also had a significant impact on NO_(x) emissions but not on CO *** emission equations were established by multiple linear regression,C_(co)=156.989-16.626 t and C_(NOx)=3.637-0.252 t-0.039 h.

关键词： Gas emissions Marker gases Infuence factors Smouldering combustion

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Flammability Ranking of Major Species of Trees and Shrubs in Daxing'anling Area of Northeastern China

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Chinese Forestry Science and Technology 2012年第4期11卷 12-24页

作者： GUAN shan MAN Rongzhou DU Jianhua shan yanlong Beihua University Ontario Ministry of Natural Resources Ontario Forest Research Institute State Forestry Administration

Factor analysis and expert scoring methods were used to rank flammability of 16 major species of trees and shrubs in Daxing'anling area of northeastern China,based on 6 flammability variables,i.e.,air dry moisture content,absolute dry moisture content,ignition point,ash content,heat of combustion and extractive content measured on leaves,barks and *** of 16 species evaluated,for leaves' flammability,Larix gmelini was the smallest and Pinus sylvestris *** was the biggest;for barks' flammability,Salix koreensis was the smallest and *** *** was the biggest;and for twigs' flammability,Populus davidiana was the smallest and Ledum palustre *** was the *** flammability ranking based on the integrated scores of leaves,barks and twigs suggested that Prunus padus,Betula dahurica,and *** were the top 3 less flammable species and that *** ***,*** ***,and *** were the top 3 more flammable *** ranking agreed well with current standards and experience and should help the species selection for building fire-break forest belts in the study region.

关键词： boreal plants fire-break fuel-breaks barks leaves twigs

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吉林省1969—2004年森林火灾释放碳量的估算

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林业科学 2009年第7期45卷 84-89页

作者：单延龙张姣北华大学林学院吉林132013

根据吉林省1969—2004年的森林火灾统计数据,计算出吉林省森林年平均森林火灾损失乔木地上生物量27285.31～36380.41t,占全国的0.45%～0.61%。年均释放碳22004.38～29339.17t,约占全国年均森林火灾排放碳的1.05%。用排放比法得出吉林省... 详细信息

根据吉林省1969—2004年的森林火灾统计数据,计算出吉林省森林年平均森林火灾损失乔木地上生物量27285.31～36380.41t,占全国的0.45%～0.61%。年均释放碳22004.38～29339.17t,约占全国年均森林火灾排放碳的1.05%。用排放比法得出吉林省年平均森林火灾释放的CO2,CO,CH4量分别为72614.45～96819.27,5283.01～7044.02和1784.40～2379.20t。

关键词：森林火灾生物量 CO2 CO CH4

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