检索结果-南通市图书馆

Journal of Forestry Research 2005年第2期16卷 125-131页

作者： XIEFu-ju XIAODu-ning LIXiu-zhen WANGXu-gao SHIBao-dong InstituteofAppliedEcology ChineseAcademyofSciencesShenyang110016P.R.China／／GraduatedSchoolofChineseAcademyofSciencesBeijing100039P.R.China InstituteofAppliedEcology ChineseAcademyofSciencesShenyang110016P.R.China

The restoration of forest landscape has drawn much attention since thecatastrophic fire took place on the northern slope of Great Xing'an Mountains in 1987. Forest canopydensity, which has close relation to forest productivity, was selected as a key factor to find howmuch the forest quality was changed 13 years after fire, and how fire severity, regeneration way andterrain factors influenced the restoration of forest canopy density, based on forest inventory datain China, and using Kendall Bivariate Correlation Analysis, and Distances Correlation Analysis. Theresults showed that fire severity which was inversely correlated with forest canopy density gradewas an initial factor among all that selected. Regeneration way which did not remarkably affectforest canopy density restoration in short period, may shorten the cycle of forest succession andpromote the forest productivity of conophorium in the future. Among the three terrain factors, theeffect of slope was the strongest, the position on slope was the second and the aspect was the last.

关键词： forest fire burned area productivity restoration forest canopy density factorial analysis kendall correlation analysis

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

在线全文

学校读者我要写书评

暂无评论

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,parea had a signifi cant positive correlation(r≥0.55,pburned areas and 0.3%had a signifi cant negative correlation(r≤−0.55,pburned 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

Integration of Multiple Spectral Data via a Logistic Regression Algorithm for Detection of Crop Residue burned areas:A Case Study of Songnen Plain,Northeast China

在线全文

学校读者我要写书评

暂无评论

Chinese Geographical Science 2024年第3期34卷 548-563页

作者： ZHANG Sumei ZHANG Yuan ZHAO Hongmei College of Mining and Engineering Taiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China

The burning of crop residues in fields is a significant global biomass burning activity which is a key element of the terrestrial carbon cycle,and an important source of atmospheric trace gasses and *** estimation of cropland burned area is both crucial and challenging,especially for the small and fragmented burned scars in *** we developed an automated burned area mapping algorithm that was implemented using Sentinel-2 Multi Spectral Instrument(MSI)data and its effectiveness was tested taking Songnen Plain,Northeast China as a case using satellite image of *** employed a logistic regression method for integrating multiple spectral data into a synthetic indicator,and compared the results with manually interpreted burned area reference maps and the Moderate-Resolution Imaging Spectroradiometer(MODIS)MCD64A1 burned area *** overall accuracy of the single variable logistic regression was 77.38%to 86.90%and 73.47%to 97.14%for the 52TCQ and 51TYM cases,*** comparison,the accuracy of the burned area map was improved to 87.14%and 98.33%for the 52TCQ and 51TYM cases,respectively by multiple variable logistic regression of Sentind-2 *** balance of omission error and commission error was also *** integration of multiple spectral data combined with a logistic regression method proves to be effective for burned area detection,offering a highly automated process with an automatic threshold determination *** method exhibits excellent extensibility and flexibility taking the image tile as the operating *** is suitable for burned area detection at a regional scale and can also be implemented with other satellite data.

关键词： crop residue burning burned area Sentinel-2 Multi Spectral Instrument(MSI) logistic regression Songnen Plain,China

An Insight into Spatial-Temporal Trends of Fire Ignitions and burned areas in the European Mediterranean Countries

在线全文

学校读者我要写书评

暂无评论

Journal of Earth Science and Engineering 2013年第7期3卷 497-505页

作者： Marcos Rodrigues Jesfis San Miguel Sandra Oliveira Francisco Moreira Andrea Camia Institute for Environment and Sustainability Joint Research Centre Varese 21027 Italy Department of Geography and Land Management University of Zaragoza Zaragoza 50009 Spain Centre of Forestry Studies Institute of Agronomy Technical University of Lisbon Lisbon 1349-017 Portugal Centre of Applied Ecology Institute of Agronomy Technical University of Lisbon Lisbon 1349-017 Portugal

This paper presents an analysis of the fire trends in southern European countries, where forest fires are a major hazard. Data on number of fires and burned area size from 1985 until 2009 were retrieved from the European Fire Database in the European Forest Fire Information System and used to study the temporal and spatial variability of fire occurrence at three different spatial scales： the whole European Mediterranean region, country level and province level （NUTS3）. The temporal trends were assessed with the Mann-Kendall test and Sen＇s slope in the period 1985-2009. At regional （supranational） level, our results suggest a significant decreasing trend in the burned area for the whole study period. At country level, the trends vary by country, although there is a general increase in number of fires, mainly in Portugal, and a decrease in bumed areas, as is the case of Spain. A similar behavior was found at NUTS3 level, with an increase of number of fires in the Spanish and Portuguese provinces and a generalized decrease of the burned area in most provinces of the region. These results provide an important insight into the spatial distribution and temporal evolution of fires, a crucial step to investigate the underlying causes and impacts of fire occurrence in this region.

关键词： Fire ignition burned area wildfire trend test Mann-Kendall.

Distribution patterns of fire regime in the Pendjari Biosphere Reserve, West Africa

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Arid Land 2023年第10期15卷 1160-1173页

作者： Omobayo G ZOFFOUN Chabi A M S DJAGOUN EtotépéA SOGBOHOSSOU Laboratory of Applied Ecology(LEA) Faculty of Agronomic SciencesUniversity of Abomey-Calavi(UAC)Cotonou 01 BP 526Benin GeoEnvironmemt and Biodiversity Conservation(GeoEBC)NGO Cotonou 02 BP 775Benin Department of Environment Senghor University1 Place Ahmed OrabiA1 Mancheya BP 415Alexandria 21111Egypt

Pendjari Biosphere Reserve(PBR),a primary component of the W-Arly-Pendjari transboundary biosphere reserve,represents the largest intact wild ecosystem and pristine biodiversity spot in West *** savannah ecosystem has long been affected by fire,which is the main ecological driver for the annual rhythm of life in the *** the fire distribution patterns will help to improve its management plan in the *** study explores the fire regime in the PRB during 2001–2021 in terms of burned area,seasonality,fire frequency,and mean fire return interval(MFRI)by analysing moderate resolution imaging spectroradiometer(MODIS)burned area *** indicated that the fire season in the PBR extends from October to May with a peak in early dry season(November–December).The last two fire seasons(2019–2020 and 2020–2021)recorded the highest areas burned in the PBR out of the twenty fire seasons *** the twenty years period,8.2%of the reserve burned every 10–11 months and 11.5%burned *** largest part of the reserve burned every one to two years(63.1%),while 8.3%burned every two to four years,5.8%burned every four to ten years,and 1.9%burned every ten to twenty *** 1.3%of the entire area did not fire during the whole study *** returned to a particular site every 1.39 a and the annual percentage of area burned in the PBR was 71.9%.The MFRI(MFRIareas in woodland savannah where the fire frequency is sufficient to allow tree *** findings highlight the utility of remote sensing in defining the geographical and

关键词： fire season fire frequency West African savannah moderate resolution imaging spectroradiometer(MODIS) burned area

Interannual variability and climatic sensitivity of global wildfire activity

在线全文

学校读者我要写书评

暂无评论

Advances in Climate Change Research 2021年第5期12卷 686-695页

作者： Rongyun TANG Jiafu MAO Mingzhou JIN Anping CHEN Yan YU Xiaoying SHI Yulong ZHANG Forrest M.HOFFMAN Min XU Yaoping WANG Institute for a Secure and Sustainable Environment University of TennesseeKnoxville37996USA Environmental Sciences Division and Climate Change Science Institute Oak Ridge National LaboratoryOak Ridge37830USA Department of Biology and Graduate Degree Program in Ecology Colorado State UniversityFort Collins80523USA Atmospheric and Oceanic Sciences Program Princeton UniversityPrinceton08544USA Computational Sciences and Engineering Division and Climate Change Science Institute Oak Ridge National LaboratoryOak Ridge37830USA

Understanding historical wildfire variations and their environmental driving mechanisms is key to predicting and mitigating wildfires. However, current knowledge of climatic responses and regional contributions to the interannual variability (IAV) of global burned area remains limited. Using recent satellite-derived wildfire products and simulations from version v1.0 of the land component of the U.S. Department of Energy's Energy Exascale Earth System Model (E3SM land model [ELM] v1) driven by three different climate forcings, we investigated the burned area IAV and its climatic sensitivity globally and across nine biomes from 1997 to 2018. We found that 1) the ELM simulations generally agreed with the satellite observations in terms of the burned area IAV magnitudes, regional contributions, and covariations with climate factors, confirming the robustness of the ELM to the usage of different climate forcing sources;2) tropical savannas, tropical forests, and semi-arid grasslands near deserts were primary contributors to the global burned area IAV, collectively accounting for 71.7%–99.7% of the global wildfire IAV estimated by both the satellite observations and ELM simulations;3) precipitation was a major fire suppressing factor and dominated the global and regional burned area IAVs, and temperature and shortwave solar radiation were mostly positively related with burned area IAVs;and 4) noticeable local discrepancies between the ELM and remote-sensing results occurred in semi-arid grasslands, croplands, boreal forests, and wetlands, likely caused by uncertainties in the current ELM fire scheme and the imperfectly derived satellite observations. Our findings revealed the spatiotemporal diversity of wildfire variations, regional contributions and climatic responses, and provided new metrics for wildfire modeling, facilitating the wildfire prediction and management.

关键词： Wildfire burned area Climatic sensitivity E3SM land model Global fire emission database

Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Geography and Sustainability 2020年第1期1卷 47-58页

作者： Anping Chen Rongyun Tang Jiafu Mao Chao Yue Xiran Li Mengdi Gao Xiaoying Shi Mingzhou Jin Daniel Ricciuto Sam Rabin Phillippe Ciais Shilong Piao Department of Biology Colorado State UniversityFort CollinsCO 80523USA Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Department of Industrial and Systems Engineering University of TennesseeKnoxvilleTN 37996USA Environmental Sciences Division and Climate Change Science Institute Oak Ridge National LaboratoryOak RidgeTN 37831USA State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest Agriculture&Forestry UniversityYanglingShanxi 712100China College of Urban and Environmental Sciences Central China Normal UniversityWuhanHubei 430079China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China Atmospheric Environmental Research(IMK-IFU) Institute of Meteorology and Climate ResearchKarlsruhe Institute of Technology(KIT)Kreuzeckbahnstraße 19Garmisch-Partenkirchen 82467Germany LSCE UMR CEA-CNRSBat.709CEL’Orme des MerisiersGif-sur-Yvette 91191France

Fire is a major type of disturbance that has important influences on ecosystem dynamics and carbon *** our understanding of ecosystem fires and their carbon cycle consequences is still limited,largely due to the difficulty of large-scale fire monitoring and the complex interactions between fire,vegetation,climate,and anthropogenic ***,using data from satellite-derived fire observations and ecosystem model simulations,we performed a comprehensive investigation of the spatial and temporal dynamics of China’s ecosystem fire disturbances and their carbon emissions over the past two decades(1997–2016).Satellite-derived results showed that on average about 3.47-4.53×10^(4) km^(2) of the land was burned annually during the past two decades,among which annual burned forest area was about 0.81-1.25×10^(4) km^(2),accounting for 0.33-0.51%of the forest area in *** burning emitted about 23.02 TgC per *** to satellite products,simulations from the Energy Exascale Earth System Land Model(ELM)strongly overestimated China’s burned area and fire-induced carbon *** burned area and fire-induced carbon emissions were high for boreal forest in Northeast China’s Daxing’anling region and subtropical dry forest in South Yunnan,as revealed by both the satellite product and the model *** results suggest that climate and anthropogenic factors play critical roles in controlling the spatial and seasonal distribution of China’s ecosystem fire *** findings highlight the importance of multiple complementary approaches in assessing ecosystem fire disturbance and its carbon *** studies are required to improve the methods of observing and modelling China’s ecosystem fire disturbances,which will provide valuable information for fire management and ecosystem sustainability in an era when both human activities and the natural environment are rapidly changing.

关键词： Fire emission burned area Fire models China

Monitoring fire regimes and assessing their driving factors in Central Asia

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Arid Land 2021年第5期13卷 500-515页

作者： YIN Hanmin Jiapaer GULI JIANG Liangliang YU Tao Jeanine UMUHOZA LI Xu State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100039China Research Center for Ecology and Environment of Central Asia of Chinese Academy of Sciences Urumqi 830011China

Relatively little is known about fire regimes in grassland and cropland in Central *** this study,eleven variables of fire regimes were measured from 2001 to 2019 by utilizing the burned area and active fire product,which was obtained and processed from the GEE(Google Earth Engine)platform,to describe the incidence,inter-annual variability,peak month and size of fire in four land cover types(forest,grassland,cropland and bare land).Then all variables were clustered to define clusters of fire regimes with unique fire attributes using the K-means *** showed that Kazakhstan(KAZ)was the most affected by fire in Central *** regimes in cropland in KAZ had the frequent,large and intense characters,which covered large burned areas and had a long *** in grassland mainly occurred in central KAZ and had the small scale and high-intensity characters with different quarterly *** in forest were mainly distributed in northern KAZ and eastern *** fires in grassland underwent a shift from more to less frequent from 2001 to 2019 in Central Asia,vigilance is needed because most fires in grassland occur suddenly and cause harm to humans and livestock.

关键词： fire regime burned area active fire K-means algorithm Central Asia

Forest Fire Environment and Characteristics in Northeastern China

在线全文

学校读者我要写书评

暂无评论

Chinese Forestry Science and Technology 2007年第4期6卷 62-66页

作者： ZHAO Fengjun SHU Lifu WANG Mingyu LIU Xiaodong Institute of Forest Protection Chinese Academy of Forestry Beijing 100091 P.R.China Beijing Forestry Universitry Beijing 100081 P.R.China

Forest fires occurrence is influenced by many factors, such as inter-annual weather variations and regional fuel distributions. Fires occurrence in different forest region has distinct spatial and temporal characteristics. The paper studied the natural forest fire environment in Northeastern China, as well as forest fires occurrence, burned area and fire seasons in Northeastern Forest Region. The result shows that more than 50% of annual burned area occurred in Northeast China Forest Region. Main fire seasons in the region are spring and autumn. Fires occurrence in spring is larger than that in autumn. There are few fires in summer. The authors' suggestions for fire management department are to emphasize the fuel management, improve the roads conditions, and enhance the fires control ability.

关键词： forest fire Northeastern China fires occurrence burned area