Most Down Articles

Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

In last 3 years

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Advances in Remote Sensing Retrieval of Forest Aboveground Biomass REN Xiaoqi, HOU Peng, CHEN Yan Forest and Grassland Resources Research    2023, 0 (6): 146-158.   DOI: 10.13466/j.cnki.lczyyj.2023.06.018 Abstract （302）   HTML （13）    PDF （1148KB）（1921）       Knowledge map    Save Forest aboveground biomass is one of the key indicators to reflect the status of forest ecosystem,which is of great significance to global climate change and China's carbon peak and carbon neutrality.With the rapid development and increasing maturity of remote sensing technology,it has become the main technical means for retrieving above-ground forest biomass in large areas.In this paper,the research progress of remote sensing inversion of forest aboveground biomass was discussed from two aspects through systematic review of relevant literatures at home and abroad.From the perspective of data source,it can be summarized as inversion methods of optical remote sensing data,synthetic aperture radar data and LiDARdata,and the effective information,advantages and limitations provided by each data source are expounded and analyzed.From the perspective of inversion model,it can be summarized as multiple regression model,machine learning algorithm and mechanism model,and the characteristics of different models are discussed and analyzed combined with practical application cases.Finally,this paper summarized the existing problems in the inversion of forest above-ground biomass by remote sensing,and prospected the direction and hotspots of forest above-ground biomass inversion by remote sensing in the future. Table and Figures | Reference | Related Articles | Metrics

Select

Key Data Results and Trend Analysis of the Sixth National Survey on Desertification and Sandification ZAN Guosheng, WANG Cuiping, LI Feng, LIU Zheng, SUN Tao FOREST RESOURCES WANAGEMENT    2023, 0 (1): 1-7.   DOI: 10.13466/j.cnki.lyzygl.2023.01.001 Abstract （3840）   HTML （314）    PDF （1091KB）（1914）       Knowledge map    Save The Sixth National Survey on Desertification and Sandification was based on the results of the Third National Land Survey,using 2019 as the benchmark year.The results showed a comprehensive status of desertification and sandification in China.This paper presented a brief overview of this survey,the status and dynamic changes of desertification and sandification in China,conducted a comprehensive analysis of the current situation,and proposed some suggestions for combating desertification and sandification.The survey results showed that,until 2019,the desertification land area in China was 257.371 3 million hm2 and the sandification land area was 168.782 3 million hm2.Compared with 2014,the desertification area of China decreased by 3.788 0 million hm2 with an average annual decrease of 757.6 thousand hm2.The sandification area of China decreased by 3.335 2 million hm2 with an average annual net reduction of 667 thousand hm2. Table and Figures | Reference | Related Articles | Metrics

Select

Analysis of General Status and Examination of Estimation Errors for One-Variable Tree Volume Tables in China ZENG Weisheng, YANG Xueyun FOREST RESOURCES WANAGEMENT    2023, 0 (2): 43-49.   DOI: 10.13466/j.cnki.lyzygl.2023.02.006 Abstract （475）   HTML （22）    PDF （1271KB）（1714）       Knowledge map    Save Tree volume tables are important basic tools in forest inventory and monitoring.One-variable tree volume tables have been used in continuous forest inventories (CFIs) of China for more than 40 years,but we have never systematically tested the applicability in nowadays.In this paper,the general status of currently used one-variable tree volume tables were analyzed from the aspects of quantity,zoning,tree species,and model type;and most of one-variable tree volume tables were examined by using the tree height data of 138 911 sample trees.The results showed that the total number of one-variable tree volume tables used in China's CFI reached 707,and the number of provincial volume tables varied greatly,from 3 to 171;there were 18 provincial regions divided into several modeling populations,while others were based on whole provincial regions;there were also great differences in the number of tree species groups for developing tree volume tables in each provincial region,with the least being 3 and the most being 31;a total of 25 models were used to develop tree volume tables,but nearly 90% of the tree volume tables were based on 5 models;about 70% of the one-variable tree volume tables exceeded the allowable error limit of ±5%,and 10 of 31 provincial regions and four forest industry groups exceeded the range of ±10% of the volume estimation errors,among which the maximum negative bias was -14.86% and the maximum positive bias was 23.22%.Based on the results of analysis,it is suggested that at the end of this inventory,a comprehensive and systematic applicability test should be carried out on the current one-variable tree volume tables;and unified revision should be made on the tree volume tables with significant deviation,so as to optimize and adjust the division of modeling populations,tree species grouping and the volume model type;and the change of volume estimation method from one-variable table to two-variable table should be actively promoted. Table and Figures | Reference | Related Articles | Metrics

Select

Grassland Vegetation Coverage Retrieval Based on Sentinel-2 Multi-Spectral Remote Sensing Data: A Case Study of Inner Mongolia Autonomous Region TIAN Haijing, WANG Lin, HAN Liliang, FAN Yunbao, YANG Jilin FOREST RESOURCES WANAGEMENT    2022, 0 (4): 134-140.   DOI: 10.13466/j.cnki.lyzygl.2022.04.017 Abstract （511）   HTML （18）    PDF （4757KB）（1421）       Knowledge map    Save High-precision grassland vegetation coverage remote sensing estimation model is important for quantitative assessment of grassland quality and fine management of grassland.Based on Sentinel-2 multi-spectral remote sensing data and measured sample plots in Inner Mongolia autonomous Region,grassland vegetation coverage was modeled and inverted.The results showed that:1)There was a significant correlation between the 23 vegetation indexes and the measured vegetation coverage (P<0.001),and the highest correlation coefficient was NDVI with a correlation coefficient of 0.834;2)The underestimation of sinusoidal function was more obvious in the high value part (coverage>75%),while the overestimation of linear function was more obvious in the low value part (coverage<25%),by using these two kinds of functions to simulate vegetation coverage,the results were better;3)The grassland types were divided into 6 groups to modeling vegetation coverage respectively.Finally,correlation coefficient between simulated and measured vegetation coverage for the 1 894 sample plots was R2=0.722,P<0.01,RMSE=12%;4)The vegetation coverage of different grassland types in Inner Mongolia from high to low was 78.91% for mountain meadow,73.7% for temperate meadow steppe,53.89% for lowland meadow,52.57% for temperate steppe,32.76% for temperate desert steppe,25.52% for temperate grassland desert and 19.29% for temperate desert. Table and Figures | Reference | Related Articles | Metrics

Select

Habitat Characteristics and Effects on Growth of Arundinaria faberi in Different Slope Positions of Subalpine Meadow YAN Keyu, CHEN Pingping, LI Jianxing, ZHANG Limei, LIU Hui, CHEN Zhengfa FOREST RESOURCES WANAGEMENT    2023, 0 (2): 70-78.   DOI: 10.13466/j.cnki.lyzygl.2023.02.010 Abstract （252）   HTML （7）    PDF （2297KB）（1252）       Knowledge map    Save As a dominant plant species in subalpine meadows on the low-latitude plateau,it is of great guiding significance to clarify the habitat characteristics and key growth factors of different slope positions of Arundinaria faberi for its community protection.The research object was Arundinaria faberi in the subalpine meadow of Gaoben Mountain in Xundian,Yunnan.By investigating the characteristics of growth and habitat factors of Arundinaria faberi in different slope positions,the key growth factors of Arundinaria faberi were identified by correlation heat map.The results showed that:1) The air temperature and relative humidity tended to decrease with the increase of the slope position,while the wind speed and solar radiation intensity increased with the increase of the slope position.2) The soil particle composition of different slope positions was mainly composed of silt particles.The soil bulk density increased with the increase of the slope position.The soil moisture content,large aggregate content and soil chemical indicators all increased first and then decreased with the increase of the slope position.The meadow soil was obviously acidic,and the soil quality level reflected by the physical and chemical characteristics of the middle slope soil was relatively higher.3) With the increase of the slope position,the morphology and community characteristics of Arundinaria faberi showed a significant deterioration trend.4) Correlation heat map analysis showed that air temperature,solar radiation intensity,wind speed,soil bulk density and available phosphorus had a great influence on the corresponding growth characteristics of Arundinaria faberi among which air temperature,solar radiation intensity,wind speed and soil bulk density were the most influential key factor for growth. Table and Figures | Reference | Related Articles | Metrics

Select

Biodiversity Conservation and Practice in National Wetland Park—A Case Study of Xixi National Wetland Park HU Xinting, YUAN Jun, CHENG Yonqquan, GUO Fengyi, YUAN Weiying, LI Gang, YANG Yongfeng Forest and Grassland Resources Research    2024, 0 (2): 133-140.   DOI: 10.13466/j.cnki.lczyyj.2024.02.016 Abstract （310）   HTML （10）    PDF （1015KB）（1037）       Knowledge map    Save China established its first National Wetland Park in 2005.As an indispensable component of wetland protection system in China,national wetland parks have significantly contributed to biodiversity conservation over the past two decades.This study examines the significant challenges national wetland parks face in current biodiversity conservation and outlines key strategies for biodiversity conservation planning.Taking Xixi national wetland parks as a case study,it demonstrates specific practices in biodiversity conservation,particularly in rare and endangered species conservation,watershed biodiversity demonstration and nature education.This study proposes strategies for the key directions of biodiversity conservation in national wetland parks,which include protecting and restoring the biological baseline resources of wetlands,wild plant and animal habitat restoration,establishing information system for wetland sensing and monitoring,and promoting scientific and rational utilization of biological resources.These strategies aim to facilitate the development of national wetland park and enhance the quality of wetland biodiversity conservation in the new era. Table and Figures | Reference | Related Articles | Metrics

Select

Main Results of the Fourth Rocky Desertification Survey in Karst Area and Analysis of Rocky Desertification Control Situation NING Xiaobin, WU Xiebao, HUANG Junwei, WU Houjian, LIU Wei, PENG Xi FOREST RESOURCES WANAGEMENT    2023, 0 (3): 9-14.   DOI: 10.13466/j.cnki.lyzygl.2023.03.002 Abstract （574）   HTML （33）    PDF （972KB）（1014）       Knowledge map    Save The fourth rocky desertification survey in Karst area was based on the result of the third national land survey,while taking 2021 as the base year to comprehensively investigate the condition and change of the rocky desertification land China.This paper briefly introduced the basic situation of the fourth rocky desertification survey,the present situation and dynamic change of rocky desertification land,as well as analyzed the current situation of rocky desertification control,and put forward countermeasures and suggestions.The results showed that,the rocky desertification land area was 7.223 million hm2 by 2021.Compared with 2016,the net decrease of rocky desertification land area was 3.331 million hm2,while the average annual decrease was 0.666 million hm2.The main results indicating that the rocky desertification land in China presents the overall evolution direction of "area decreasing,degree reduction and ecological condition being stable ". Table and Figures | Reference | Related Articles | Metrics

Select

The Resource Status and Conservation Strategies of National Key Protected Wild Plants in China JIANG Yafang, TIAN Jing, LIU Zengli, MA Wei, SHAO Wei, BAI Ling FOREST RESOURCES WANAGEMENT    2023, 0 (4): 1-10.   DOI: 10.13466/j.cnki.lyzygl.2023.04.001 Abstract （621）   HTML （58）    PDF （1248KB）（985）       Knowledge map    Save Accurate data on the population and survival status of wild plant are the basis for the plant diversity conservation.The Regulations of the People's Republic of China on the Protection of Wild Plants make it clear that the wild plants administrative departments should periodically organize surveys of national key protected wild plants,and establish wild plants resource archives.Therefore,China launched the second national survey of national key protected wild plants in 2012.Based on the survey data,the population,community area and in situ conservation status of 283 species of national key protected wild plants in China are reported.Reasons for the changes of wild plant resources over the past 10 years are also discussed through comparative analysis between the first and second national survey of national key protected wild plants.In order to advance conservation and management of wild plants in China,several countermeasures and suggestions were put forward,including establishing a national platform for wild plant supervision and management,improving the plant diversity conservation system,and carrying out the wild plant rescue and conservation projects. Table and Figures | Reference | Related Articles | Metrics

Select

Spatio-Temporal Pattern Analysis of Vegetation NPP in Yunnan Province Based on Improved CASA Model QIAN Hui, ZHANG Chao, FAN Jinming, DENG Zaichun, ZHU Xiali, LI Chengrong Forest and Grassland Resources Research    2023, 0 (6): 120-128.   DOI: 10.13466/j.cnki.lczyyj.2023.06.015 Abstract （169）   HTML （8）    PDF （4149KB）（944）       Knowledge map    Save Vegetation net primary productivity (NPP)is one of the indicators to measure the level of ecosystem productivity,it is of great significance to estimate it by using the combination of ecology and remote sensing.In this study,we applied the improved CASA model;based on the MODIS vegetation index product,meteorological data,and land cover data;estimated the vegetation NPP in Yunnan Province in 2000,2005,2010,2015,and 2020,and explored its spatial distribution characteristics using the Moran's I index,Getis-Ord Gi* hotspot analysis,and overlaying analysis with China's ecologically Functional Protected Areas in China were superimposed and analyzed.The results showed that:1)the vegetation NPP in Yunnan Province in the past 20 years showed a trend of decreasing and then increasing trend,with an average value of 822.98 gc/(m2 a);the monthly vegetation NPP reached the highest in summer and the lowest in winter;and among the different vegetation types,the evergreen broadleaf forests had the highest NPP values.2)The spatial distribution of vegetation NPP decreased from south to north in each year,and the global spatial autocorrelation Moran 's I index was greater than 0.7.The NPP hot spots were mainly located in the southwestern border of Yunnan,and the cold spots were located in the northwestern and central urbanization areas of Yunnan.3)NPP hotspot areas superimposed with ecological function reserve intersected in Xishuangbanna Ecological Function Reserve and Southwest Karst Ecological Function Reserve,and the superimposed area accounted for 23%~26% of the total area of hotspot areas in each year.The study shows that NPP in Yunnan Province has shown a fluctuating upward trend in the past 20 years,and the results can provide scientific references for vegetation monitoring and ecological environmental protection in Yunnan Province. Table and Figures | Reference | Related Articles | Metrics

Select

Geographic Weighted Regression Model Combined with Remote Sensing for Estimating Forest Aboveground Carbon Storage of Songyang County ZOU Weimin, CHEN Chao, HUANG Lei, SONG Meixuan, LI Xuejian, DU Huaqiang FOREST RESOURCES WANAGEMENT    2023, 0 (4): 132-140.   DOI: 10.13466/j.cnki.lyzygl.2023.04.016 Abstract （224）   HTML （8）    PDF （5877KB）（922）       Knowledge map    Save Aboveground carbon(AGC)is an important indicator of the basic characteristics of forest ecosystems and a theoretical basis for evaluating the functional structure and productive potential of forests.As one of the nine key forestry counties in Zhejiang Province,Songyang County has a very important ecological status,so the accurate estimation of forest AGC in Songyang County is an important reference value for the stability evaluation of forest ecosystems and forest management in Songyang County.However,Songyang County is dominated by medium and low hilly areas surrounded by mountains,and how to consider the influence of complex terrain on the temporal and spatial variation of AGC is an urgent problem to be solved to achieve accurate estimation of AGC in mountainous forests.Therefore,based on Landsat TM satellite imagery and forest AGC survey data in Songyang County,a geographically weighted regression model(GWR)combined with spatial variation characteristics was constructed to estimate forest AGC,and compared with the results of ordinary least squares(OLS),finally,the optimal model was selected to predict forest AGC and its spatial distribution in Songyang County.The results were asfollows:Texture information from Landsat TM satellite imagerywas important for predicting forest AGC in Songyang County;The GWR model accurately estimated the AGC and spatial distribution of forests in Songyang County,and improved the accuracy by 9% over the OLS model,with an R2 of 0.71.The total AGC of forests in Songyang County was 3.901×106 Mg,with an average AGC of 23.70 Mg/hm2,accounting for about 10% of the total AGC of forest vegetation in Lishui City,which had a relatively important position in serving regional ecological functions.The study will provide advanced technical tools for accurate estimation of forest AGC in Songyang County,as well as scientific data for evaluating the function of forest carbon sink in Songyang County. Table and Figures | Reference | Related Articles | Metrics

Select

Information Extraction and Security Risk Assessment of Street Trees Based on Vehicle-Borne LiDAR Data MU Tianbao, WU Linna, ZHANG Haitao, ZHANG Han FOREST RESOURCES WANAGEMENT    2022, 0 (5): 91-98.   DOI: 10.13466/j.cnki.lyzygl.2022.05.012 Abstract （265）   HTML （7）    PDF （6310KB）（921）       Knowledge map    Save Rapid and accurate acquisition of the structural characteristics and safety risk status of urban street trees based on LiDAR point cloud data is of great significance to assist smart city management.In order to solve the problem that LiDAR point cloud data is difficult to segment regions with unclear morphological characteristics in street tree parameter acquisition,a individual tree extraction method based on circular index of trunk center point was proposed.Firstly,it obtained the sliced point cloud of the trunk layer according to the elevation information,then,segmented the sliced data based on the improved DBSCAN clustering algorithm.Secondly,it identified the trunk through the morphological characteristics of the ground features and obtained the central point,so as to complete the extraction through the circular index method based on the central point.Finally,it combined with the risk matrix method to evaluate the safety risk of the stability and traffic impact of the street trees in the study area.The results showed that the proposed individual tree extraction method could effectively improve the segmentation accuracy of individual trees of street trees in areas with unclear morphological characteristics,and accurately obtain the structural parameter information such as the number,shape and position of street trees;The safety risk assessment found that the stability of most street trees and the risk of traffic impact in the study area werein a level I negligible risk state,but there were some street trees whose stability and risk of traffic impact were level II and level III.These trees were mainly distributed in the area with dense and interlaced roadside trees in the study area.The results can provid corresponding decision support for relevant departments to monitor street trees in a timely and effective manner. Table and Figures | Reference | Related Articles | Metrics

Select

Discussion on the Technical System of Forest Fire Risk Assessment JIANG Chunying, YANG Xueqing, ZHANG Guoli, SUN Zhichao, JIANG Yun'an, JIANG Aijun FOREST RESOURCES WANAGEMENT    2023, 0 (2): 17-26.   DOI: 10.13466/j.cnki.lyzygl.2023.02.003 Abstract （490）   HTML （21）    PDF （1228KB）（861）       Knowledge map    Save The risk assessment index system of forest fire was constructed by comprehensively utilizing the hazard of forest fire,the exposure and vulnerability of disaster bodies.The hazard of disaster was based on the contents of combustibles,meteorological conditions,field fire sources,terrain and topography,the exposure of disaster bodies was based on the contents of above-ground living biomass,number of buildings,population,GDP,and the vulnerability of disaster bodies was based on the proportion of flammable forest land,proportion of combustible building area,proportion of the elderly and young population,vulnerability of economic activities.Using The Analytic Hierarchy Process and expert scoring,this paper determined the weights of each evaluation indicator.It refined the accuracy of forest fire risk assessment to multiple spatial scales such as small class,30 arc second geographic grid,township level,county level,etc.to meet the accuracy requirements of forest fire prevention management at different administrative levels of the country,province,city,and county.At the same time,this paper proposed the best solution for forest fire risk identification in different regions and periods. Table and Figures | Reference | Related Articles | Metrics

Select

Habitat Suitability Assessment of Moose Based on Combined MaxEnt and HSI Model ZENG Haowei, LING Chengxing, ZHANG Jun, LIU Hua, ZHAO Feng, JIN Yue, LIU Shuguang, ZHANG Yutong FOREST RESOURCES WANAGEMENT    2023, 0 (4): 115-122.   DOI: 10.13466/j.cnki.lyzygl.2023.04.014 Abstract （248）   HTML （9）    PDF （3281KB）（781）       Knowledge map    Save Moose is a national first-class protected animal in China.Studying the habitat quality of moose is a key step to protect moose population.In this paper,taking Heilongjiang Nanwenghe National Natural Reserve as an example,the habitat suitability of moose was evaluated using maximum entropy model(MaxEnt)and habitat suitability index(HSI)model.Moose distribution points data was gathered from unmanned aerial vehicle transect survey,the maximum entropy model was used to get the environmental factor contribution and single environment variable response curve,combined with natural geography of the Reserve,the evaluation model was set up based on the impact of different environmental factors on moose to evaluate the moose habitat suitability of reserve quantitatively.The results showed that altitude(20.3%),slope(11.4%)and distance from river(11.3%)were the main environmental factors affecting the habitat distribution of moose,while slope aspect,slope position and vegetation coverage had less effect on moose habitat.Moose prefer to live in forested area with low altitude,moderate slope,sunny slope,and prefer to live close to river,far away from human disturbance and in areas with high coverage.In the reserve,the area of high suitable habitat for moose is 424.6 km2,accounting for 18.5% of the total area.The area of low suitable habitat is 1 422.9 km2,accounting for 62% of the total area.The area of unsuitable habitat is 447.5 km2,accounting for 19.5% of the total area. Table and Figures | Reference | Related Articles | Metrics

Select

Realization Path of High-Quality Development of National Parks TANG Xiaoping FOREST RESOURCES WANAGEMENT    2022, 0 (3): 1-11.   DOI: 10.13466/j.cnki.lyzygl.2022.03.001 Abstract （574）   HTML （28）    PDF （1577KB）（767）       Knowledge map    Save China officially established the first batch of five national parks in 2021,entering a new stage of national park development.By combing the development tasks of five national parks approved by the state,this paper made it clear that the development focus of national park was to build a clear and standardized asset property right system,a unified and efficient ecological governance system,a strong public service system,and an overall and moderate community coordination mechanism.This paper focused on the realization path of high-quality development of national parks from nine aspects: planning and implementation,demarcation and marking,institutional setting,asset supervision,infrastructure,monitoring and perception,public service and community coordination.The state and governments at all levels should provide basic guarantee from the aspects of brand building,institutional system,scientific and technological support and capital investment,so as to provide reference for the development and management of national parks. Table and Figures | Reference | Related Articles | Metrics

Select

Dynamic Change and Influencing Factors of Vegetation Cover over the Past 30 years in the Wutai Mountain Area REN Tianchen, CHEN Junfeng, LIU Nan FOREST RESOURCES WANAGEMENT    2022, 0 (4): 89-99.   DOI: 10.13466/j.cnki.lyzygl.2022.04.012 Abstract （669）   HTML （11）    PDF （8599KB）（757）       Knowledge map    Save Based on 25 Landsat remote sensing data sources from 1991 to 2020,the temporal and spatial characteristics of vegetation coverage and its influencing factors in Wutai Mountain were analyzed by binary pixel model,wavelet analysis and partial correlation analysis.The results showed that the FVC values in Wutai Mountain area showed an increasing trend on the whole,in which the mean value of FVC in Wutai County was the highest,and the FVC growth rate in Yuanping City was the highest.There were three main change cycles of 9,12,21 years to control the change of FVC in the whole time domain.The vegetation cover in the study area showed a spatial distribution pattern of "low in the west and high in the east",and the improved area of vegetation cover was much larger than the degraded area.The CV values of Wutai County showed a large negative deviation phenomenon when the altitude was lower than 2 400m,and a large positive deviation phenomenon when the altitude was higher than 2 400m.The FVC values of Fanshi County showed an order as follows:shade slope>sunny slope>half shade slope>half sunny slope;The peak values of FVC in each slope direction of Dai County and Yuanping City appeared in the altitude range of 1 600~2 000m.The negative deviation of CV values in Wutai County,Dai County and Yuanping City increased with the increase of slope.From 1980 to 2015,the mean value of partial correlation coefficient between FVC value and temperature was 0.14,and that between FVC value and precipitation was 0.05.In Wutai Mountain area,the area of forest land and construction land increased,while the area of cultivated land and grassland decreased to varying degrees from 1980 to 2015,and there were vegetation decline problems in human-active areas such as mining areas and scenic spots. Table and Figures | Reference | Related Articles | Metrics

Select

Species Diversity and Its Associated Factors of Castanopsis orthacantha Community in Central Yunnan PENG Zexi, LUO Hang, LI Xiaoying, XU Yanhong, YIN Wuyuan, ZHU Hongqin, CHEN Yuqiang, CHEN Xiaoqin FOREST RESOURCES WANAGEMENT    2023, 0 (2): 138-146.   DOI: 10.13466/j.cnki.lyzygl.2023.02.019 Abstract （286）   HTML （9）    PDF （1023KB）（750）       Knowledge map    Save In order to accurately grasp the species diversity level of Castanopsis orthacantha community and its relationship with related factors in central Yunnan,based on the investigation of typical plots,the Margalef richness index,Pielou evenness index,Shannon-Weiner diversity index and species diversity comprehensive index were used to measure the species diversity level of Castanopsis orthacantha community,and the grey correlation analysis method was used to explore the relationship between species diversity level and site factors,stand factors and forest disturbance intensity.The results showed that:1) The species composition of Castanopsis orthacantha community was rich,involving 75 families,141 genera and 202 species,and the species composition of shrub layer was the most complex.The tree species composition of the arbor layer had the characteristics of typical subtropical evergreen broad-leaved forest.And there were significant differences in species composition and important values in different regions.2) The richness index,diversity index and evenness index of shrub layer (including regeneration layer) were the highest,and the species diversity of Castanopsis orthacantha community was at a medium level.The species diversity of different survey areas in the study area was different.The contribution rate of herb layer and shrub layer (including regeneration layer) to the comprehensive index of community species diversity was the highest.3) There was a strong correlation between species diversity and six factors in three levels of site factors,stand factors and forest disturbance intensity.The order of correlation degree was altitude>forest disturbance intensity>average DBH>aspect>plant density>slope.Through research,the aim is to provide a basis for the restoration and conservation measures of Castanopsis orthacantha community in central Yunnan. Table and Figures | Reference | Related Articles | Metrics

Select

Forest Resources Status and Management Strategy in Beijing Plain Area WEI Yankui FOREST RESOURCES WANAGEMENT    2022, 0 (2): 10-18.   DOI: 10.13466/j.cnki.lyzygl.2022.02.002 Abstract （611）   HTML （9）    PDF （1069KB）（716）       Knowledge map    Save The plain area of Beijing is the main carrying area of the core capital functions and the urban functions. The forest in the plain area plays an important role for the health of residents and the development of various undertakings in the capital. The development of forest resources in Beijing plain area experienced recovery period,wandering period,steady development period and rapid development period. The present situation of plain forest resources was analyzed from the aspects of forest area,stock,forest species,age group and tree species composition. The change trend of plain forest area,stock,forest coverage rate and tree species composition from 2009 to 2019 was analyzed. It was concluded that the ecological pattern of the plain was basically formed,the resource structure of "more forest belts,less forest patches" was changed,the uniformity of ecological spatial distribution was improved,and the richness of forest landscape was increased.The situation and requirements of forest management in plain area in the new era were analyzed from three aspects:requirements of new urban general regulations,citizens' demand for beautiful environment and high-quality development of landscape in the new era.Through analysis and discussion,countermeasures and suggestions were put forward for forest management in Beijing plain area. Table and Figures | Reference | Related Articles | Metrics

Select

Brief Analysis of Deepening the Reform of State-Owned Forest Farms and Promoting Green Development LIN Jin, XU Bing, YI Xutong, LIU Jiahuan, LIU Peng, WANG Xiaokun FOREST RESOURCES WANAGEMENT    2022, 0 (zk1): 52-58.   DOI: 10.13466/j.cnki.lyzygl.2022.S0.008 Abstract （355）   HTML （13）    PDF （896KB）（676）       Knowledge map    Save State-owned forest farms are valuable forest resources,the country's most important ecological security barrier and forest resource base,and have an irreplaceable position,basic and strategic role in the National Ecological Security Administration.In order to deeply understand the development of state-owned forest farms after the reform,we studied the reform of state-owned forest farms,sorted out the basic situation of the reform of state-owned forest farms after the reform of state-owned forest farms,the development status of state-owned forest farms,the necessity of green development,the problems of state-owned forest farms,and put forward policy suggestions to promote the green development of state-owned forest farms. Reference | Related Articles | Metrics

Select

Study on the Current Situation and Modernization of State-Owned Forest Farms in Guizhou Province WEN Yu FOREST RESOURCES WANAGEMENT    2022, 0 (3): 36-41.   DOI: 10.13466/j.cnki.lyzygl.2022.03.006 Abstract （1099）   HTML （209）    PDF （995KB）（580）       Knowledge map    Save This paper expounded the present situation and modernization construction mode of state-owned forest farms in Guizhou Province,analyzed the problems and shortcomings faced by the development of state-owned forest farms,and put forward the ways and measures to solve these problems,in order to provide reference for promoting the modernization construction of state-owned forest farms in Guizhou Province and realizing high-quality sustainable development. Reference | Related Articles | Metrics

Select

Forest Vegetation Type Monitoring in the Natural Forest Protection Project Area WANG Xiaohui, ZHANG Huiru, PANG Yong, QIN Xianlin, LI Haikui, MENG Shili, YU Tao FOREST RESOURCES WANAGEMENT    2023, 0 (2): 96-103.   DOI: 10.13466/j.cnki.lyzygl.2023.02.013 Abstract （277）   HTML （16）    PDF （3703KB）（580）       Knowledge map    Save Based on moderate resolution remote sensing images,forest vegetation type monitoring was performed to provide technical support for achievement monitoring of the natural forest protection project area and forest vegetation mapping.Based on Landsat8 OLI images in growing and non-growing seasons,random forest and time dimension correction methods were applied to forest vegetation type monitoring in Wangqing Forestry Bureau.Based on confusion matrix and recall ratio,factors leading to classification confusion were analyzed.The results showed that:1) Overall accuracy of forest vegetation type monitoring was 86.41%,and kappa coefficient was 0.82,illustrating a better classification effect.2) Among various forest vegetation types,deciduous broadleaved forest land had high classification accuracy,with producer's and user's accuracy of over 90%,respectively.Deciduous coniferous forest land had relatively high producer's accuracy of 86.96%.Evergreen coniferous forest land and coniferous and broadleaved mixed forest land had relatively low producer's and user's accuracies of average 75.19%.Classification confusion between evergreen coniferous forest,deciduous coniferous forest,deciduous broadleaved forest,and coniferous and broadleaved mixed forest frequently occurred as the result of mixed proportion,forest canopy closure and forest age.3) Forest coverage of Wangqing Forestry Bureau was 96.64%.The area proportion of deciduous broadleaved forest land was the largest,that of coniferous and broadleaved mixed forest land was the secondly largest,and that of deciduous coniferous forest land,evergreen coniferous forest land,shrubland and other forest land was small.The analysis showed that multitemporal and phenological information of moderate resolution remote sensing images was effective in obtaining forest vegetation types of the natural forest protection project area. Table and Figures | Reference | Related Articles | Metrics