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|

All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Comparison of Vegetation Classification Methods Based on High Resolution Remote Sensing Image ZHANG Diandai, WANG Xuemei FOREST RESOURCES WANAGEMENT    2021, 0 (3): 108-113.   DOI: 10.13466/j.cnki.lyzygl.2021.03.017 Abstract （806）   HTML （22）    PDF （2282KB）（5039）       Knowledge map    Save Taking the oasis-desert transition zone in the eastern part of Kuqa City,Xinjiang as the research object and using GF2 remote sensing image as the main data source,on the basis of field investigation,supervised classification based on pixel and object oriented classification based on hierarchical multi-scale segmentation were used to accurately identify the vegetation information in the study area.The results showed that:1) The results of supervised classification and object-oriented classification were roughly the same.The overall classification accuracy rates of both methods could reach more than 94%,and the Kappa coefficient was greater than 0.93,both of which reflect higher classification accuracy.2)Compared with supervised classification,the object-oriented classification method improved the overall classification accuracy by 3.79%,and the Kappa coefficient increased by 0.032,which had a better classification effect and classification accuracy.By determining the optimal scale segmentation,the object-oriented classification method can more accurately extract vegetation information in the study area,and provide a scientific basis for the reasonable evaluation of the regional land desertification status. Table and Figures | Reference | Related Articles | Metrics

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 （518）   HTML （20）    PDF （1148KB）（4673）       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

Research of Key Technology for National Forest-land “One Map” Database XU Dengping,LI Hui,PANG Lijie,ZHANG Yuxing,HUANG Guosheng,HAN Aihui FOREST RESOURCES WANAGEMENT    2015, 0 (5): 36-43.   DOI: 10.13466/j.cnki.lyzygl.2015.05.007 Abstract （879）      PDF （3140KB）（3958）       Knowledge map    Save In this study,we introduced the contents of forest-land “one map” for the county,provincial and national levels,and studied the key technologies of forest-land “one map” information extraction,data check and the integration of database.Based on the WebService,we designed and developed a data management and service platform of national forest-land “one map”,and operated it online.lastly,the data application for forest-land “one map” was discussed. 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 （4829）   HTML （377）    PDF （1091KB）（3121）       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

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 （613）   HTML （20）    PDF （4757KB）（2654）       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

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 （356）   HTML （9）    PDF （1023KB）（2638）       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

Status Quo and Improvement of Forest Fire Prevention and Control Ability in China-Myanmar Border in Yunnan Province GUAN Pingao, PENG Xingzi, CHEN Yuyong, ZHANG Hongfei, JIANG Jian, LI Shiyou FOREST RESOURCES WANAGEMENT    2021, 0 (5): 153-159.   DOI: 10.13466/j.cnki.lyzygl.2021.05.020 Abstract （658）   HTML （9）    PDF （1075KB）（2515）       Knowledge map    Save Based on the investigation of the basic situation and characteristic practices of forest fire prevention and control in prefectures (cities)and counties in China-Myanmar border in Yunnan Province,the main problems and the necessity of improving its forest fire prevention and control ability were analyzed.From three aspects,namely forest fire prevention,fire fighting and emergency support,25 specific measures were put forward to improve this ability,including ecological barrier system,forest fuel treatment,water fire extinguishing equipment,team building,joint prevention and control fire,and general survey of fire hazard sources,etc.At the same time,some relevant suggestions were proposed.Through research and discussion,this paper aimed to improve the comprehensive prevention and control ability of forest fire in China-Myanmar border in Yunnan Province. 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 （348）   HTML （7）    PDF （2297KB）（2474）       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

Natural Distribution and Characteristics of China’s Rare and Endangered Species in Shandong Province LIU Dan, ZANG Dekui FOREST RESOURCES WANAGEMENT    2018, 0 (1): 155-158.   DOI: 10.13466/j.cnki.lyzygl.2018.01.022 Abstract （596）   HTML （12）    PDF （1037KB）（2455）       Knowledge map    Save According to the investigation result of forest tree germplasm resources in Shandong province,there are 15 Chinese rare and endangered tree species naturally distributed there,which belongs to 12 families,13 genera,and the characteristics of their natural distribution are summarized.Suggestions of protection are put forward for carrying out related research in the future. 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 （326）   HTML （11）    PDF （3281KB）（2379）       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

Study on Bird Diversity in Mount Wutongshan National Park in Guangdong TAO Qing, TANG Yuelin , CHEN Yongfeng, ZHANG Xiongfang, CUI Pingyue, WANG Yingyong, LIN Shishi FOREST RESOURCES WANAGEMENT    2015, 0 (4): 115-123.   DOI: 10.13466/j.cnki.lyzygl.2015.04.020 Abstract （459）      PDF （1406KB）（2315）       Knowledge map    Save The investigation of bird resources in Mount Wutongshan National Forest Park of Guangdong recorded 135 species belonging to 13 orders,35 families.If the six species recorded were added,Passeriformes had 24 families,95 species(66.4%);Passeres and forest birds had taken the advantage.Dominant species were Pycnonotus jocosus,Apus affinis,Zosterops japonicus,Pycnonotus sinensis,Sturnus sericeus,Aethopyga christinae,Passer montanus,Dicaeum ignipectus,Orthotomus sutorius,Parus major and Lonchura striata.And residents had 78 species(54.5%),winter visitors had 33 species(23.1%),summer visitors had 18 species(12.6%),passage migrants had 15 species(10.5%).Breeding birds had 96 species(67.1%).And 13 species were listed in the China Key List as second-grade of protected wild animals,12 species were listed in CITES Appendix II,1 species was recorded in IUCN as vulnerable(VU),5 species were recorded in CSRL as near threatened(NT),3 species were recorded in Guangdong provincial protected animals,1 species was endemic to China.Most of birds are distributed in Wutongshan County-Xiaowutong,Dawutong,Bitongdao and Shatoujiao.And Babax lanceolatus and Minla cyanouroptera which may escape or become naturalized species were discussed. 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 （580）   HTML （22）    PDF （1271KB）（2247）       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

Comparison of Three Calculating Methods of Stand Volumes and Species Composition CHENG Ruichun FOREST RESOURCES WANAGEMENT    2014, 0 (3): 163-166.   DOI: 10.13466/j.cnki.lyzygl.2014.03.034 Abstract （1795）      PDF （1044KB）（2197）       Knowledge map    Save Based on the survey data of permanent sample plots at Wangyedian Forest Farm in Chifeng,the results of the stand volumes and species compositions were compared,which were calculated with three methods including the average experimental form factor(AEFF)Formula method,the AEFF and Mean Tree method,and One-Way Volume Table method,and linear relationships were found among the three different stand volume figures.In mixed stands,the inconsistent results of species composition were not significantly different at the 0.05 level with the sign test based on the classifications according to the coefficient difference of the dominant tree species(if they were the same,species less than 5% used).So,the average experimental form factors could be used to measure stand volume and species composition.To forest farmers or family forest farms,the AEFF Formula method might be more useful than the others. Reference | Related Articles | Metrics

Select

Forestry Development in Central and Eastern European Countries and Analysis on Future 16+1 Forestry Cooperation WANG Yanqin, CHEN Jie, GU Yali FOREST RESOURCES WANAGEMENT    2017, 0 (1): 153-159.   DOI: 10.13466/j.cnki.lyzygl.2017.01.024 Abstract （422）   HTML （13）    PDF （1343KB）（2171）       Knowledge map    Save As the Belt and Road Initiative and 16+1 Cooperation mechanism have been established and implemented,the central and eastern European countries,which are located along the Belt and Road,are the key area for the forestry cooperation with China.These countries boast rich forest resources,strong sci-tech strength and good foundation for industrial development,which was laid a solid foundation for the forestry cooperation with China.The paper analyzed the forest resources,forestry laws and regulation & policies,forestry governance regime,forest product production and trade,concluded that the central and eastern European countries are rich in forest resources,have improved forest governance mechanism in place,and own the good foundation for forest product industry.Based on this,the authors explored the potentials for China and the central and eastern European countries to carry out forestry cooperation as well as the possible risks to be encountered.This study is expected to provide references and supports for the future 16+1 forestry cooperation. 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 （338）   HTML （8）    PDF （6310KB）（2059）       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

Research on the Planning of Amur Tiger and Amur Leopard National Park LIANG Bingkuan, LIU Yang, TANG Xiaoping, BAN Yong, JIANG Yafang, KONG Ying, LI Bingbing, BAI Ling FOREST RESOURCES WANAGEMENT    2020, 0 (6): 23-30.   DOI: 10.13466/j.cnki.lyzygl.2020.06.005 Abstract （1691）   HTML （77）    PDF （1976KB）（2045）       Knowledge map    Save The establishment of Amur Tiger and Amur Leopard National Park is a major measure to protect the rare and endangered species,such as Amur tiger and Amur leopard,and their habitats.It is of global significance to protect the ecological security barrier as well.The national park is facing a key window period for the restoration of populations of Amur tiger and Amur leopard,also the reform period of the national forest area and the historical transformation period of the natural protected area system.The situation is complicated and changeable.The planning,at first,puts forward the philosophy of construction and development of adhering to natural priority,national interest,community benefit and common people sharing.Secondly,the planning clarifies,in the initial stage,the main management objective is to make the populations of Amur Tiger and Amur Leopard stabilized and reproduced,to restore and maintain the integrity of the forest ecosystem,and to promote the formation of both production and living modes with eco-friendliness in a community.And then,the planning adopts methods such as system planning,adaptability planning and LAC framework model to propose the solutions for key issues of national park such as boundary and range,control zoning,management system,ecological restoration and community development. 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 （296）   HTML （9）    PDF （5877KB）（2033）       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

Study on Species Diversity Composite Index LÜ Yong, YE Tao, LÜ Feizhou, LI Xinjian FOREST RESOURCES WANAGEMENT    2013, 0 (4): 84-87.   Abstract （271）      PDF （993KB）（1988）       Knowledge map    Save Through use of richness,evenness and diversity to evaluate species diversity,the concept of Species Diversity Composite Index is proposed,breaking traditional and unilateral limitations of species diversity description.With multiple raw data based on selected indicators and use of CRITIC law the weights are established and each forest Species Diversity Composite Index measurement model developed,which reflects both the diversity indices of traditional information and the actual sample data. This makes the results of the composite index more reasonable and objective. Reference | Related Articles | Metrics

Select

Investigation on Current Situation of Eucommia ulmoides Resources in Hunan Province WANG Xiaoyu, CHEN Yifeng, WU Jiangbo, DU Hongyan, JIN Xiaoling FOREST RESOURCES WANAGEMENT    2015, 0 (3): 146-150.   DOI: 10.13466/j.cnki.lyzygl.2015.03.028 Abstract （300）      PDF （1084KB）（1980）       Knowledge map    Save The result of investigation on Eucommia ulmoides resources in Hunan Province was achieved by collecting data from the forestry science and technology extending stations of the 14 cities and a detailed survey at Eucommia growing place shows what Eucommia resources are distributed in the whole province,and 11551.6 hm2 of Eucommia in Hunan is mainly distributed in Cili,Zhangjiajie; Baojing,Xiangxi Tujia and Miao Autonomous Prefecture,Anhua,Yiyang and Shimen,Changde.The cultivation area of Eucommia in Cili is 4969.1 hm2.Eucommia trees in Hunan Province are mainly 1 to 5 years old,16-25 years old and 60 years old.Conventional EU cultivation for medical purposes is the major cultivation mode; a few places began to use the orchard-like intensive cultivation and three-dimensional cultivation.The problems are the lack of management and backward cultivation mode. Reference | Related Articles | Metrics

Select

Diversity of Butterfly Community in Fenglin National Nature Reserve YUAN Gaixia FOREST RESOURCES WANAGEMENT    2021, 0 (5): 87-96.   DOI: 10.13466/j.cnki.lyzygl.2021.05.012 Abstract （1109）   HTML （14）    PDF （1197KB）（1932）       Knowledge map    Save To explore butterfly community diversity in Fenglin National Nature Reserve,butterflies were investigated with the line transect method inside and outside the reserve from June to August each year from 2016 to 2018.A total of 15 083 butterflies were observed,of which 99 species in 60 genera under seven families were identified.Nymphalidae was the dominant family,with the most number of genera,species and individuals.There were 5 dominant species,19 common species,57 unusual species and 18 rare species.Nymphalidae had the highest diversity index and richness index,Papilionidae had the highest dominance index and Parnassiidae had the highest evenness index.There was a significant difference in diversity of butterflies among habitats,with the diversity index being the highest in medium altitude core area and the lowest in high altitude experimental area.The diversity index of butterflies had a significant positive correlation with their richness index in all habitats (r=0.9971,P<0.001).The dynamic trend of species number,the diversity index and the richness index was consistence,being the highest in July and the lower in June and August.The community similarity coefficient of species was 0.8 inside and outside the reserve,showing they were very similar.The community similarity coefficient of species among different habitats ranged from 0.55 to 0.81,high coefficient indicating slight difference of comprehensive environmental factors.In conclusion,Fenglin Nature Reserve had abundant butterfly resources,a healthy ecosystem,stable environment,and high protection value. Table and Figures | Reference | Related Articles | Metrics