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    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
    Abstract302)   HTML13)    PDF (1148KB)(1919)       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.

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    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
    Abstract475)   HTML22)    PDF (1271KB)(1712)       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.

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    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
    Abstract250)   HTML7)    PDF (2297KB)(1252)       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.

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    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
    Abstract310)   HTML10)    PDF (1015KB)(1033)       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.

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    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
    Abstract573)   HTML33)    PDF (972KB)(1014)       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 ".

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    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
    Abstract621)   HTML58)    PDF (1248KB)(979)       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.

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    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
    Abstract169)   HTML8)    PDF (4149KB)(944)       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.

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    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
    Abstract224)   HTML8)    PDF (5877KB)(922)       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.

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    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
    Abstract490)   HTML21)    PDF (1228KB)(861)       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.

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    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
    Abstract248)   HTML9)    PDF (3281KB)(781)       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.

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    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
    Abstract285)   HTML9)    PDF (1023KB)(749)       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.

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    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
    Abstract277)   HTML16)    PDF (3703KB)(580)       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.

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    Analysis of Vegetation Cover Changes in Beijing from 2005 to 2020
    YU Shiyong, XU Qian, YU Xiaofei
    FOREST RESOURCES WANAGEMENT    2023, 0 (3): 98-104.   DOI: 10.13466/j.cnki.lyzygl.2023.03.013
    Abstract441)   HTML15)    PDF (3716KB)(567)       Save

    Based on NDVI data from 2005—2020,the spatial distribution characteristics,temporal distribution characteristics and spatio-temporal characteristics of vegetation were analysed using NDVI classification and difference analysis to reveal the spatio-temporal patterns of NDVI changes in Beijing,and to explore the reasons for the changes by analysing the vegetation cover changes in Beijing in the past 15 years.Through analysis,it is found that,the overall vegetation cover in the Beijing area is at a high level.From a regional perspective,the areas with very high NDVI mean coverage classes in Beijing from 2005 to 2020 were all located in the Jundu and Xishan mountain ranges.The vegetation coverage of Mentougou District,Huairou District,Yanqing District,Fangshan District,Changping District and Pinggu District was at the highest level in Beijing.In terms of time,the level of vegetation coverage changed significantly from 2005 to 2020,with the average annual NDVI value increasing from 0.659 0 to 0.756 6,an increase of 14.81%.The proportion of area with "very high" vegetation coverage increased from 5.31% to 47.79%,and the proportion of area with "low" vegetation coverage decreased from 5.91% to 1.25%.In terms of spatiotemporal change characteristics of vegetation,the area with obvious improvement and slight improvement accounted for more than 80%.Two "million mu afforestation" projects and mountain forest management were the main driving forces to improve the quality of vegetation coverage in Beijing.

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    Research on Carbon Peak and Carbon Sink Capacity of Major Carbon Emitting Countries in the World
    ZHANG Zhe, ZHANG Yuxing
    FOREST RESOURCES WANAGEMENT    2023, 0 (2): 1-9.   DOI: 10.13466/j.cnki.lyzygl.2023.02.001
    Abstract397)   HTML29)    PDF (4802KB)(557)       Save

    At the level of realistic economy and technology,we must first achieve carbon peaking in order to achieve carbon neutrality.Studying the carbon peak foundation and carbon sink capacity of the major carbon emitting countries in the world has important reference significance for China to achieve carbon peak and carbon neutrality.This study sorted out the top 24 countries in economic aggregate among the world's 224 countries and regions.Based on the data of CO2 emissions,total GDP,energy consumption and reserves on forest carbon sink from 1960 to 2018,it found out total GDP and GDP per capita were positively correlated with CO2 emissions before carbon peak.When GDP per capita reached $\$$20000 to $\$$35000,and low-carbon energy accounted for more than 35%,it would be possible to achieve carbon peak and reduce carbon emissions.In addition,when GDP per capita reached $\$$35000 to $\$$45000,and high-carbon energy (coal and oil) accounted for no more than 55%,it would also be possible to achieve carbon peak and reduce carbon emissions.Energy supply structure was the first determinant of carbon peak time.The results showed that if the proportion of low-carbon energy was higher,it was easier to achieve carbon peak.Nowadays,the forest carbon sink capacity of 24 countries was constantly improving.However,the reserves on forest carbon sink were less than 15% of the country's annual carbon emissions in most countries.It still takes a long time to achieve carbon neutrality.Therefore,special attention should be paid to the healthy,stable,efficient and sustainable management of forest ecosystems.

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    The Value,Existing Problems and Development Suggestions of China's National Park Concession System
    WANG Tianwei, LIU Rui
    Forest and Grassland Resources Research    2023, 0 (6): 8-17.   DOI: 10.13466/j.cnki.lczyyj.2023.06.002
    Abstract258)   HTML19)    PDF (1039KB)(555)       Save

    The national park concession system is an innovation of Chinese government concessions in the field of ecological civilization construction,which not only injects funds into the construction of national parks,but also improves the quality of public services through market competition mechanism.It not only implements the basic goal of the public interest of national parks to protect the ecological environment,but also protects the personal interests of indigenous residents.However,in the process of implementation,the national park concession system still faces problems such as the questionable nature of the concession agreement,the defects of the access mechanism and the lack of systematic regulation of the exit mechanism,which hinders the effectiveness of the concession system.On this basis,the franchise agreement should be given the dual nature of both "administrative" and "civil",with an administrative license at the stage of agreement conclusion and a civil contract at the stage of agreement implementation;The franchise access mechanism should be further improved by establishing a franchise management advisory committee,restricting the use of priority renewal rights,and introducing a "negative list" management model.And through the establishment of a temporary takeover system,improve the franchise supervision system and other ways to establish an exit mechanism.

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    Evaluation and Optimization of Survey Methods for Ecological Factors about Wild Animals and Their Habitats
    YANG Xiao, HU Jiping, REN Kailei, RUAN Xiangdong
    FOREST RESOURCES WANAGEMENT    2023, 0 (3): 65-70.   DOI: 10.13466/j.cnki.lyzygl.2023.03.009
    Abstract439)   HTML20)    PDF (998KB)(548)       Save

    The field survey of the current ecological situation is the basis for the prediction and evaluation of ecological environment.However,the current field investigation methods focus on assessing the status of the ecological environment,and cannot accurately predict the potential impact of construction projects during construction and operation.Under the new situation of comprehensively strengthening the protection of wild animals,the paper innovatively introduced the concept of "relative value" for six indicators which were wildlife activity degree,species richness,the quantity of key national protected wild animals,habitat connectivity,vegetation coverage and the quantity of key national protected wild plants.Combining qualitative and quantitative technical measures,the optimization of the content,methods and data calculation methods of ecological status investigation were discussed.The optimized investigation method not only lays a foundation for the objective prediction of the potential impacts of construction projects on wildlife and their habitats,but also provides effective technical support for the early project approval and decision making.It also is of great significance to study how to coordinate the development of infrastructure construction with the protection of ecological environment.

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    Vegetation Community Characteristics in Hungou Area of Lishan National Nature Reserve
    WANG Gangshi, ZHANG Haijun, WANG Zhimin, JIA Zefan
    Forest and Grassland Resources Research    2024, 0 (3): 144-152.   DOI: 10.13466/j.cnki.lczyyj.2024.03.018
    Abstract115)   HTML4)    PDF (1996KB)(547)       Save

    Mastering the characteristics of vegetation communities in the Hungou area can provide a reference for the deeper research into forest community succession law and internal mechanism in Hungou,and provide a scientific basis for the study of the protection of zonal forest in the warm temperate zone.Using the method of route survey and sample survey,the community types were determined by important values.The species composition,floristic characteristics and community characteristics of the Hungou area in Lishan National Nature Reserve were studied and systematically analyzed and the spatial pattern of vegetation communities,such as vertical distribution and slope distribution was analyzed.The results showed that:1)There were 443 species of vascular plants in the study area,belonging to 93 families and 267 genera.2)The distribution types of seed plant families can be divided into 10 types.The distribution types of genera can be divided into 14 types,and the distribution types of species can be divided into 11 types.It is divided into 6 groups of vegetation type,9 vegetation types,28 formations and 43 associations.3)Zonal vegetation is broad-leaved forest in the warm temperate zone,but plant communities with subtropical components are scattered.The research results have preliminarily grasped the characteristics of vegetation communities in the Hungou area.

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    Dynamic Monitoring of Spartina alterniflora in Xiangshan Harbor Based on GEE and Random Forest
    LIANG Licheng, FU Xiaoqiang, ZHANG Bin, CHENG Guxun, LI Zuohui
    FOREST RESOURCES WANAGEMENT    2023, 0 (3): 38-45.   DOI: 10.13466/j.cnki.lyzygl.2023.03.006
    Abstract264)   HTML8)    PDF (2259KB)(536)       Save

    The large-scale invasion of Spartina alterniflora has endangered the ecological security of China's coastal area.Therefore,studying a fast and accurate algorithm for identifying Spartina alterniflora is particularly important for achieving dynamic monitoring within the region.Taking Xiangshan harbor as a research zone in this study,151 Spartina alterniflora and 140 non-Spartina alterniflora land patches were used as the training data set on the GEE platform.The index of NDVI,EVI,NDWI and BSI were extracted from the Sentinel-2 remote sensing image band information,and these indices were added to the remote sensing image data.Machine learning methods such as Support Vector Machines and Random Forests were used for identification and classification.By identifying and classifying Sentinel-2 remote sensing images from 2017 to 2022,dynamic monitoring of Spartina alterniflora within the study area was achieved.The research results showed that compared with SVM,the RF method had higher recognition accuracy for identifying Spartina alterniflora,and the overall recognition accuracy in 2022 reached 99.03% with a Kappa coefficient of 0.978 7.At the same time,the experimental results showed that the area of Spartina alterniflora in Xiangshan harbor has gradually decreased since 2017,indicating that the artificial intervention measures taken during this period were very effective.The dynamic monitoring and status analysis of Spartina alterniflora in Xiangshan harbor provided quantitative scientific data for the management of Spartina alterniflora,and have important reference value for formulating relevant prevention and control measures.

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    Study on Stand Spatial Structure of Typical Pinus massoniana Mixed Forest in Liping County of Guizhou Province
    YANG Shenjun, TAN Wei, CHEN Xinyu, TANG Jiajun, YANG Zejun, WU Yujie
    FOREST RESOURCES WANAGEMENT    2023, 0 (3): 105-114.   DOI: 10.13466/j.cnki.lyzygl.2023.03.014
    Abstract230)   HTML6)    PDF (3320KB)(459)       Save

    This paper explored the spatial structure characteristics of typical mixed forests of Pinus massoniana in Liping County,Guizhou,and provided theoretical basis for the management and transformation of mixed forests in this area.Taking Pinus massoniana in the mixed forest in Liping County as the research object,the typical Pinus massoniana mixed forest in the study area was divided into 7 forest types based on the mixed tree species and proportion.The types were broad-leaved mixed forest with Pinus massoniana propotion of 40%(type A),50%(type B),70%(type C) and coniferous mixed forests mixed with Chinese fir with Pinus massoniana propotion of 30%(type D),50%(type E),70%(type F) and pure forests of Pinus massoniana(type G).The spatial structure of all types were analyzed using comprehensive evaluation indicators such as angular scale,diameter at breast height ratio,tree height ratio,mingling degree and spatial structure.The results showed that:1) The seven types of Pinus massoniana stands in the study area were all in a light aggregation distribution state,tending to a random distribution pattern;2) The Pinus massoniana in type F of the study area had a moderate height and diameter at breast height,while the Pinus massoniana in other types were subdominant in height and diameter at breast height;3) The mingling degree in the Pinus massoniana mixed forest in the study area was relatively high,usually above moderate mingling degree,while the pure forest of Pinus massoniana was in weak mingling degree and nearly zero mingling degree.4) The ranking of forest stand comprehensive evaluation was:Type A>Type D>Type E>Type B>Type F>Type C>Type G;5) There was no significant difference in the spatial structure of typical Pinus massoniana in the study area in terms of angular scale,ratio of diameter at breast height to size,and ratio of tree height to size.The differences in spatial structure were mainly influenced by the mingling degree.The mixed forest as a whole qas developing towards a top level community with random distribution,moderate competition among trees,and higher mingling degree,but it had not yet reached the level of natural top level community.

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    Assessment on Habitat Suitability of Macaca thibetana in Xianxialing Provincial Nature Reserve Using MaxEnt Modeling
    YU Zhucheng, XU Linli, LUO Shuigen, WANG Meifang, ZHOU Xiao, CHEN Danna, JIN Wei
    FOREST RESOURCES WANAGEMENT    2023, 0 (2): 111-117.   DOI: 10.13466/j.cnki.lyzygl.2023.02.015
    Abstract244)   HTML8)    PDF (3775KB)(458)       Save

    The Macaca thibetana is an endemic species to China.Assessment on habitat suitability Macaca thibetana is very important for the conservation,which plays an important role in the rational and scientific protection of this species.To improve the conservational strategy,by using the MaxEnt model,this study evaluated and analyzed the habitat suitability based on site data obtained by infrared camera monitoring technology and three environmental factors such as vegetation,terrain,and human interference for the Macaca thibetana in Xianxialing provincial nature reserve in Jiangshan city.The results showed:the MaxEnt model could accurately predict the spatial distribution of habitat suitability for Macaca thibetana.The moderate and high suitable habitats for Macaca thibetana were mainly distributed in the southeast,northeast,and northwest of the Reserve with high altitude and broad-leaved forests.The area of moderate and high suitable habitats was 3 041.10 hm2,accounting for 43.96% of the total area of the Reserve.Factor variable contribution analysis showed that altitude,distance from road,and slope aspect were the main factors affecting habitat quality,with contribution rates of 33.30%,29.40%,and 12.40%,respectively.Based on the results of the distribution of habitat suitability,we suggested that management department should further rationally plan the functional areas of the reserve through preventing the expansion of the bamboo forest area from causing the degradation of the broad-leaved forest,improving the connectivity between the northwest and southwest suitable habitats,and providing a safe and smooth corridor for the migration of the Macaca thibetana population.

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