Table of Content

    28 August 2017, Volume 0 Issue 4
    Integrated Management and Administration
    Analysis of Arid and Humid Conditions in Desertification Area in China
    KONG Xiangji, SUN Tao
    2017, 0(4):  1-6.  doi:10.13466/j.cnki.lyzygl.2017.04.001
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    Under the background of climate change in the world,arid and humid conditions play an important role in keeping desertification area ecosystem stable.Based on the data of nearly 15 years of Geostationary Meteorological Satellite and the ground meteorological data,using the China Energy Water Balance Monitoring System (CEWBMS),this study obtains the changes of arid and humid conditions and vegetation growth situation in 15 desertification zones.Since 2002,the average soil moisture index (SMI) showed a trend of increase in desertification regions,and vegetation growth environment is good.Among them,in 2002—2006 and 2012—2016,the SMI is higher than average at 0.7% and 2% respectively,which illustrates the two periods of partial wetting,and positive to desertification;During the period from 2007 to 2011,the SMI is lower than average at 2.6%,partial dryness during this period,aggravating the desertification.The zones which have a positive vegetation growth environment are northern Xinjiang,southern Xinjiang,Hexi area,Qaidam basin,Hetao area,Mu Us sand land and three river source area,and the zones of negative environment are the mountains behind the Urat in Inner Mongolia,Uzhumchin and Khorchin sand land.

    Problem Research on the Management System of Wetland Protection in China
    YU Tao
    2017, 0(4):  7-12.  doi:10.13466/j.cnki.lyzygl.2017.04.002
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    The wetland protection and management system is not suitable in our country.It constraints the wetland legal norm system constructing and stunts the efficiency of the wetland protection.For boosting wetland protection and management development in our country,the article analyzes the present situation of the wetland management,and points out the main problems in the process of wetland protection and management,which include,responsibilitis and rights are not unified,there exists a lack of coordination mechanism,the responsibility of the management is difficult to be implemented,and supervised and accountability mechanism is not sound,and some other conflicts. The article proposes establishment of the local government responsibility system for wetland protection and management,constructing the local government coordination mechanism,exploring comprehensive law enforcement for wetland protection and management and establishing the supervision of the wetland protection management and responsibility mechanism of policy recommendations in order to provide references for the relevant management departments.

    Research on Standard Framework of Forestry Internet of Things
    GU Hongbo, BAI Ying, ZHUO Lan
    2017, 0(4):  13-17.  doi:10.13466/j.cnki.lyzygl.2017.04.003
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    In this paper,the “Guidance” of the State Council on promoting the orderly and healthy development of the Internet and the development of the Internet of Things and the “China forestry guidance” are used as the guiding ideology for the research of domestic and foreign forestry IOT standardization development status quo and problems. Based on the application of modularization concept,this paper puts forward forestry networking standard system framework which consists of basic standards,standards for data collection and network transmission standards,information processing standard and application standard and common support standards.The aim is to provide a reference for establishing a standard system that meets international standards and meets the needs of forestry networking.

    Study on the Development Strategy of Woody Grain and Oil Industry in Henan Province
    ZHAO Xiaodong, YANG Chaoxing, LIU Guowei
    2017, 0(4):  18-21.  doi:10.13466/j.cnki.lyzygl.2017.04.004
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    The development potential of the main woody grain and oil tree species in Henan province from 2016-2020 was predicted based on the primary data of the Henan forestry statistical imformation and the forecasting model established with the grey theory.By 2020,it is expected that the development will reach the area of 798 917.24hm2,the production of 721 575.24t,and the output value of 15 477.87milion.Besides,the alternative cultivated area of Henan province in 2020 was calculated as 12 549.81hm2 by using the concept of food equivalent.To address the main causes that restrict the development of woody grain and oil industry in Henan province,it proposed to strengthen the elite breeding and promote fine varieties,establish the production base for woody grain and oil,do a good job in the processing utilization and circulation,perfect diversified investment mechanisms,increase financial supports and improve technical supporting abilities so as to speed up the development of woody grain and oil industry in Henan province.

    Scientific Research
    Dominant Height-Diameter Models for Mixed Quercus Forest Based on Dummy Variable
    ZHU Guangyu, LUO Xiaolang
    2017, 0(4):  22-29.  doi:10.13466/j.cnki.lyzygl.2017.04.005
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    13 representative height-diameter models were used to simulate correlation of dominant height-diameter in natural Quercus mixed forests.Models with high goodness-of-fit were selected as the foundational model for building dominant height-diameter model with stand types and site types dummy variable.Results showed that mean dominant height models fitted better than maximum dominant height model,the dummy-variable-included models had higher goodness of fit than the foundational models.Stand type and site type dummy variable with mean dominant height had the same formula: $ H=1.3+\sum_{i=1}^{n} a_{i} \times Z_{i} \times D_{g} /(D_{g}+1)+b \times D_{g}$ and the site type dummy variable model (R2=0.9775) fitted better than forest type dummy variable model (R2=0.711 9).It was able to improve the applicability and accuracy of dominant height-diameter models for mixed Quercus forest based on dummy variable,which provided support and reference for establishing regional generalized bio-math models and amending site quality assessment of mixed Quercus forests in area coverage.

    Analysis and Research on the Optimal Annual Forest Felling Volume of Forest Management Units
    OUYANG Junxiang, LU Zeyang
    2017, 0(4):  30-36.  doi:10.13466/j.cnki.lyzygl.2017.04.006
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    Forest harvesting is a key measure to adjust forest structure,improve forest quality and improve forest function.Scientific harvesting management is an important way to achieve sustainable forest management.At present,forest harvesting in our country adopts the harvesting quota management system,and the annual allowable cutting quota of the management units,in principle,shall be determined according to the optimal annual forest felling volume of the forest management plan.Therefore,the calculation and determination of the optimal annual forest felling volume is the important content for drawing up the forest management plan.In this study,how to scientifically calculate and determine the optimal annual forest felling volume in the forest management unit was thoroughly investigated and analyzed in Hongshi Forestry Bureau,Jilin Province,China.The purpose of this study was to provide a reference in the technology and method for forest management units to draw up forest management plan and calculate the optimal annual forest felling volume.

    Study on the Target Tree Density of Phoebe Bournei Plantation Based on Competition Relationship of Forest Trees
    SHI Le, LI Jiping, ZHAO Chunyan, CHEN Lei, HUANG Xiao
    2017, 0(4):  37-43.  doi:10.13466/j.cnki.lyzygl.2017.04.007
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    In order to cultivate precious tree species of large diameter timber,the key is to manage Phoebe Bournei artificial pure forest and to determine the target tree density so that it can be beneficial to the growth of the target trees and to give full play to the productivity of the forest.In Jindong Forest Farm,the representative of the 14 year old Phoebe Bournei plantation was selected,and three sample spots (20m*30m) were set.In these three sample spots,respectively,11,15 and 14 trees were selected as alternative target trees according to the target tree selection criteria based on near natural operation.ArcGIS was used to generate voronoi diagram according to the spatial position of forest trees.The competitive unit of each alternative target tree is determined based on the generated Voronoichart.And by determining the competitive unit the V-Hegyi competitive index and neighborhood comparison of each alternative target tree were calculated.V-Hegyi competitive index and the degree of neighborhood comparison are divided into 3 levels,according to the variation range of the V-Hegyi competition index and the neighborhood comparison degree.Trees with both indexes at the first level were determined to be final target trees.The number of target trees in these three sample spots would be 8,10 and 9 respectively.That is,the final target tree density was 120,150 and 135/hm2 respectively.So the target tree density of the average of Phoebe Bournei in Jindong forest farm was 135/hm2.This paper provides the theoretical basis for the near natural management of artificial pure Phoebe Bournei forest of Jindong Forest Farm.

    Research on Prediction of Forest Resources and the Carbon Sequestration Potential in Yunnan Province
    YANG Ying, HUANG Guosheng, Wang Xuejun, Su Haoran, Zhi Changgui
    2017, 0(4):  44-49.  doi:10.13466/j.cnki.lyzygl.2017.04.008
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    The changes of the structure and volume of forest resources were predicted in Yunnan Province by using the markov chain model and compound interest formula from 2012 to 2027,based on forest resources inventory data in 2002,2007 and 2012.The biomass,carbon storage and carbon density of forest vegetation in Yunnan Province were estimated by applying the biomass regression model and the carbon content of vegetation.The results shows that in the next sixteen years,the area and volume of forest resources in Yunnan Province will show a double growth trend.The annual average growth rate of area and volume are 0.5% and 2.94%.The carbon storage and the average carbon density of forest vegetation will increase continuously.The carbon storage will increase from 890.40Tg to 1265.34Tg,with an annual average growth rate of 2.81%.The carbon density will increase from 41.89 Mg/hm2 to 55.41 Mg/hm2,with an annual average growth rate of 2.15%.With the maturity of the young and middle-aged forests,and improvement of forest quality because of forest tending,the forest vegetation has great potential to stock carbon in Yunnan Province.

    Research on the Forest Fire Susceptibility Spatial Distribution of Voronoi and Conditional Entropy
    XIE Shaofeng, OUYANG Junxiang, XIAO Huashun
    2017, 0(4):  50-58.  doi:10.13466/j.cnki.lyzygl.2017.04.009
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    According to the fire historical data of Guangzhou,the paper analyzes the fire time,distribution range,ignition factors,relationship with tree species and terrain,and creates forest fire voronoi,and then using voronoi polygon area,shortest distance between the road and fire,elevation,slope and forest stand types,establishes the fire conditional entropy. Finally,it used the inverse distance weighting method to spatial interpolation and divided forest fire susceptive zones into high incidence,frequently occurring,general,accidental and no fire zones.The zones reflect spatial distribution rule of the forest fire,the forestry management can effectively prevent and control the occurrence of forest fires,minimize fire losses.The results show that forest fire happens from October to April of following year.Forest fire is closely related to road,forest stand types,the terrain factors,distribution in low hill zone near the road and upslope,coniferous forest and coniferous mixed forest fire occurred more frequently by human factors.Non-stability fires spatial distribution,high incidence and frequently occurring zone present the patchy gathered accounted for 4.23 percent,accidental zone reflects the fire characteristics of sudden and randomness accounted for 52.96 percent.

    Assessing the Impacts of Forest Background Reflectance on Estimating Aboveground Biomass—a case study of forest area in Great Khingan
    LU Xiaoman, ZHENG Guang, JU Weimin, DAI Shengpei, GAO Lun
    2017, 0(4):  59-68.  doi:10.13466/j.cnki.lyzygl.2017.04.010
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    Remote sensing technology is of great importance to estimating large-scale forest canopy leaf characteristics dynamically,and there is a good statistical relationship between forest aboveground biomass (AGB) and leaf biomass.It is feasible to estimate leaf biomass and then AGB based on canopy effective leaf area index (LAIe) estimated from remotely sensed data.However,the forest background information,such as understory vegetation,has a negative influence on LAIe and AGB retrieval by this way.Therefore,this paper focused on exploring the impacts of forest background reflectance on LAIe and AGB inversion in the Great Khingan forest area using moderate resolution imaging spectroradiometer (MODIS) data and a four scale model.The results showed that both LAIe and AGB were sensitive to the forest background reflectance.The determinate coefficient (R2) between MODIS-and Landsat thematic mapper (TM)-based LAIe increased from 0.32 (n=25,p<0.1) to 0.48 (n=25,p<0.01) when eliminating the influence of background reflectance on LAI inversion.Also,the AGB estimates were more related to the national forest inventory (NFI)-based AGB after considering the effects of forest background (R2=0.86,n=10,p<0.01).Forest LAI and AGB overestimation could be put right in this research.

    Community Structure and Species Diversity of the Ravine Secondary Forest in Mengshan of Shandong Province
    GAO Yuan, LIU Jian, ZHAO Weiguang
    2017, 0(4):  69-74.  doi:10.13466/j.cnki.lyzygl.2017.04.011
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    Sixteen quadrats were selected from the ravine secondary forest of Mengshan to analyze the community structure and species diversity.The results show:1) The ravine secondary forest community of Mengshan includes at least 28 species of tree layer plants,39 species of shrub layer plants and 49 species of herb layer plants.The individual densities of tree,shrub and herb plant types are 1.425 plants/m2,8.892 plants/m2 and 11.73 plants/m2.28 species of trees are classified into 12 extended species,2 recessive species,6 stable invaded species and 8 randomly recessive species according to the structure.2) There are two types of diameter classes of the main tree species in the ravine secondary forest of Mengshan:Quercus variabilis,Quercus acutissima,Dalbergia hupeana,Quercus dentate,Celtis sinensis,Diospyros lotus and Celtis koraiensis are growth types.Pinus thunbergii and Pinus densiflora are stable types.3) In the ravine secondary forest of Mengshan,Shannon-Wiener diversity index and Simpson diversity index shows the order of shrub layer>tree layer>herb layer,while Pielou evenness index shows the order of herb layer>shrub layer>tree layer.The results can provide scientific basis and data reference for Yimeng mountainous area and northern rocky mountains.

    Application of Dummy Variable in the Research of Pinus Densata Stock Volume Inversion Model
    WANG Zongmei, XU Tianshu, YUE Cairong, LIU Qi
    2017, 0(4):  75-81.  doi:10.13466/j.cnki.lyzygl.2017.04.012
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    Based on Landsat TM and field survey data,two strategies were adopted to construct shangri-la Pinus Densata stock volume inversion model:conventional linear regression model and linear regression model with dummy variable,and the inversion model was validated.According to the research,correlation coefficients of conventional linear regression with simple regression and multiple regression were 0.280 and 0.365 respectively,while the linear regression model with dummy variable had a correlation coefficient of 0.602;Comparing with test sample data,the prediction accuracies of conventional linear regression model were 61.1% and 74.9% respectively,while the accuracy of linear regression model with dummy variable was 80.3%.It was proven that applying dummy variable could certainly raise the prediction accuracy and provide a reliable reference for forest stock volume inversion via dummy variable in remote sensing to some extent.

    Subalpine Coniferous Forest Crown Information Automatic Extraction Based on Optical UAV Remote Sensing Imagery
    WANG Meimei, LIN Jiayuan, LIN Yi, LI Yi
    2017, 0(4):  82-88.  doi:10.13466/j.cnki.lyzygl.2017.04.013
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    As the main part for trees to obtain light energy and convert energy,crown plays an important role in monitoring tree growth,estimating tree biomass and so on.Timely and accurate acquisition of crown parameter information can help to study tree growth status and forest dynamic changes,and improve forest management effectively.With superiorities of low cost,safety,flexible take-off and landing,ability to fly under cloud,hyper spatial image resolution,UAV (Unmanned Aerial Vehicle) remote sensing is very suitable for obtaining remote sensing imagery of crown of subalpine coniferous forest.We extracted tree crowns and crown parameters such as the transmeridional crown,north-south crown,number of trees per unit area,and density of subalpine coniferous forest in one region of Sichuan Gongga Mountains from fixed-wing UAV images based on object-based image analysis method.The visual interpretation result was taken as reference data to verify the precision.The results showed that extraction accuracies of transmeridional crown,north-south crown,number of trees per unit area,density were 0.77,0.86,0.99 and 0.92 respectively.This result indicated high effectiveness and reliability of forest crown information automatic extraction based on optical UAV remote imagery,and UAV remote sensing can meet the demands of evaluating subalpine coniferous forest growth status and monitoring dynamic changes.

    Study on Classification Methods Based on Remote Sensing Image and Forest Resources Management Survey Data—Take Pingxiang,Guangxi Autonamous Region as an Example
    ZHANG Naijing, HOU Ruixia, JI Ping
    2017, 0(4):  89-96.  doi:10.13466/j.cnki.lyzygl.2017.04.014
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    Based on Landsat-8 image and forest resources management survey data,different forest land types were classified by maximum likelihood classification (ML),neural net classification (NN),support vector machine classification (SVM) and decision tree classification (DT) methods,and then the precisions (P) of classifications were verified,and the performances of classifications were evaluated correlatively.The results show that the best performance was SVM (P=78.7%,Kappa=0.76),and the followings were NN (P=76.8%,Kappa=0.72) and DT (P=72.5%,Kappa=0.68),and the worst was ML (P=44.9%,Kappa=0.39).These results provide a theory basis for the rapid extraction of forest resources information of forestry science data platform.

    Spatial-temporal Changes of Vegetation Cover in Karamay Region Based on Spatial Auto-correlation Analysis and FVC
    WANG Xiyuan, DI Linigeer, SHI Qingdong, XU Zijun, CHENG Liang
    2017, 0(4):  97-102.  doi:10.13466/j.cnki.lyzygl.2017.04.015
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    With the Geographic Information System(GIS) technique,on the basis of the Fractional Vegetation Cover (FVC) of 2000—2013 NOAA/AVHRR(National Oceanic and Atmospheric Administration/the Advanced Very High Resolution Radiometer)images,and through spatial auto-correlation analysis of FVC index,the spatial-temporal changes of vegetation cover was explored from time and space with 1km×1km spatial resolution.The main results were summarized as follows.In recent ten years,FVC index changed significantly in the study area.In Karamay region,oases were mainly distributed in south Karamay of the study area,relatively less in the north Wuerhe area and scattered in Baijiantan area in the central study area.In recent years,in general,the oasis area expanded significantly,Karamay area was the main expansion direction,but in Wuerhe and Baijiantan areas,the oases were rapidly decreased.Desert,which was mainly distributed in the middle and north of the study area,had increased significantly in recent ten years. Expansion of desertification mainly happened in Wuerhe and Baijiantan areas,some oases surrounded by desert had decreased significantly even disappeared.Oasis-desert ecotone,mainly distributed in Karamay area,had been heavily replaced by oases in recent ten years.Comprehensive and objective analysis of the spatial-temporal changes of FVC index in Karamay region is important to promoting sustaining development of study area.

    Wetland Plant Extraction Based on the Time Series Landsat NDVI in Dongting Lake Area
    LIU Xiaonong, XING Yuanjun, LUO Peng
    2017, 0(4):  103-109.  doi:10.13466/j.cnki.lyzygl.2017.04.016
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    As an important ecological system,wetland of lake groups and river system in Dongting Lake area is essential for the ecological environment.Due to the continuous disturbance of human activities and globe climate change,wetland in Dongting Lake area has degraded and it’s urgent to monitor the wetland change timely.In this paper,we used Landsat8 OLI data and MODIS data to get the time series Landsat NDVI data based on spatial and temporal adaptive reflectance fusion model (STARFM).Then,the Savitzky-Golay (S-G) filter was employed to smooth the time series Landsat NDVI data.With the phonological calendar of plant wetland and the computation of Jeffries-Matsushita distance (J-M),and through selecting validation data randomly throughout the study area for many times,we got the best J-M distance and the optimal Landsat NDVI data combination.Support vector machine was used to map wetland distribution of study area.Results showed that this method could map wetland fields effectively,and get a high overall precision of 91.52% with the Kappa coefficient of 0.85,and overall accuracy and Kappa coefficient were improved about 4.16% and 0.03,respectively,compared with using single date Landsat8 OLI spectral data.Especially,the precision of plant wetland,such as sedge,reed,polar and paddy,were improved about 2.35%,0.67%,10.47% and 4.75% for user accuracy and 3.57%,2.31%,10.11% and 6.21% for producer accuracy.The research can provide an important way to solve the problem of missing data on monitoring wetland.

    Study on Remote Sensing Classification of Typical Forest Types in Central Yunnan Based on Endmember Extraction,ZHANG Yi
    HUANG Tian, ZHANG Chao, JI Yitao, YU Zhexiu, LUO Hengchun, ZHANG Yi
    2017, 0(4):  110-116.  doi:10.13466/j.cnki.lyzygl.2017.04.017
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    The accuracy and efficiency of the recognition of forest types are strongly influenced by the choice of endmember spectra.Based on Landsat8 OLI remote sensing image,taking the typical forest vegetation in central Yunnan Province as the object of this study,combined with the forest resource inventory data,the ROIs of typical forest vegetation are extracted firstly on the basis of image fusion,then spectral curves of typical forest vegetation in Central Yunnan Province such as Pinus yunnanensis,Pinus armandii Franch.,Eucalyptus globulus Labill.,Cupressus funebris Endl.and Quercus acutissima are extracted by means of MNF and N-dimensional scattering plots.Based on these endmember spectra,the typical forest types in central Yunnan Province are identified by spectral angle mapping method,and the accuracy of classification is evaluated finally.Meanwhile,the traditional method of endmember extraction for traditional classification of forest types is used to compare with the new method in this study.The results showed as follows:1)The result of classification based on the method of endmember extraction in ROI is better,the overall accuracy was 83.46%,and Pinus yunnanensis 84.78%,Pinus armandii Franch.96.88%,Eucalyptus globulus Labill.80.60%,Cupressus funebris Endl.75.00%,Quercu sacutissima 57.69%.2) Only Pinus yunnanensis,Pinus armandii Franch.,Eucalyptus globulus Labill.and Quercus acutissima can be identified through the method of endmember extraction based on geometric apex,using endmember spectral extraction and spectral analysis many times,but not Cupressus funebris Endl.The identification accuracy was 89.13% for Pinus yunnanensis,84.37% for Pinus armandii Franch.,76.12% for Eucalyptus and 53.13% for Quercus acutissima.It is concluded that the spectra extracted by the traditional method have higher similarity,which has lower classification accuracy,and the endmember spectra is not easy to be recognized.3) The endmember extraction method based on ROI can avoid the confusion of classification results by meaningless endmember spectra for its higher efficiency,which can effectively solve the difficult problem of endmember spectra identification.

    Soil Distribution Characteristics,Physical and Chemical Properties in Lhasa Valley
    LU Zeyang
    2017, 0(4):  117-123.  doi:10.13466/j.cnki.lyzygl.2017.04.018
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    Lhasa valley holds the important biology position.The soil physical and chemical properties plays a vital role in site type classification and biology rebuilting.Based on the analysis of soil types and characteristics,the paper evaluates the soil fertilities of Lhasa valley.

    Analysis on Urban Forest Landscape Pattern and Its Dynamic Changes in Zhucheng City
    YANG Jinming, LI Shimei, HU Dingmeng, DUN Xingjian, XU Jingwei
    2017, 0(4):  124-130.  doi:10.13466/j.cnki.lyzygl.2017.04.019
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    With the support of 3S technology,4 periods of urban forest landscape pattern and its dynamic changes in Zhucheng City from 1991 to 2016 were quantitatively analyzed by using the theory and method of landscape ecology.The results indicated that the total area of urban forest landscape in Zhucheng City showed a trend of first decrease and then increase,the fragmentation of landscape pattern was intensified,and landscape diversity and distribution evenness were increased.Among five urban forest landscape types,the farmland forest landscape was mainly distributed in the western,northern and central plains of Zhucheng City,most of the massif forest landscape were concentrated in the hilly areas of the southeastern part of Zhucheng City and small part was distributed in the west,the distribution of residential forest landscape was relatively uniform,the waterside forest landscape was mainly distributed beside the Wei River,Baichi River and others,the road forest landscape had less proportion,and showed a line-like distribution characteristics.During the period of 1991 to 2016,the degree of fragmentation of waterside forest landscape was alleviated,while the rest were aggravated;the aggregation index of massif forest landscape and waterside forest landscape was higher,but it showed a trend of decline;the connectivity of road forest landscape and waterside forest landscape was better,and the connectivity of waterside forest landscape was increasing,and the connectivity of the other types was worse.This study can provide a useful reference for the classification,visualization and rational distribution of urban forest landscape.

    Estimation of Hickory Yield Based on Landsat TM Remote Sensing Data
    LI Xiaoyu, HUANG Xingzhao, WANG Xuejun, GAO Zuofeng
    2017, 0(4):  131-134.  doi:10.13466/j.cnki.lyzygl.2017.04.020
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    To establish the hickory yield model and vegetation index,the actual yield from 2008 to 2011 and Landsat TM remote sensing data of four growth stages in every year were used to systematically compare their relationship in hickory source region in Lin’an of Zhejiang Province.The results show that the NDVI of each growth stage has higher correlation with yield than SAVI,DVI.The model of each growth stage was built to predict hickory yield which used NDVI.The accuracy of four models was as follows: fruit expanding stage>flower bud differentiation and pollination stage>picking to defoliation stage>dormancy stage.Using the stepwise regression that the NDVI of every growth stage were factors,the model of hickory yield was established.The optimal model was y=126.51x2+26.61x1+12.56x3-67.42(R2=0.642,SEE=12.17) which provided a feasible,rapid and effective method to predict the hickory production.

    Landscape Health Assessment of Xihu National Wetland Park in Eryuan of Yunnan Province
    FU Yuanxiang, LI Yue, HAN Yingying, YANG Yue, MA Guoqiang
    2017, 0(4):  135-141.  doi:10.13466/j.cnki.lyzygl.2017.04.021
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    The paper,taking Eryuan Xihu National Wetland Park as research area,tried to choose and establish an evaluation system from three aspects,that is environmental factors,landscape spatial patterns and social&economic function.The weight value of each indicator could be determined through analytic hierarchy process.By the calculation of the weight of landscape diversity,contagion index,evenness index,fragmentation index,wetland environment and social&economic function,the result of landscape health showed that the value is 0.673 0,which belongs to ‘health’ level.

    Distribution of Ecological Non-commercial Forest in Core Area of Minjiang River Basin Based on Hydrologic Analysis and Geometric Network
    XU Xueling
    2017, 0(4):  142-150.  doi:10.13466/j.cnki.lyzygl.2017.04.022
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    Ecological status of Minjiang River basin is very important in Fujian Province.The core area,especially source’s protection of ecological non-Commercial forest also is particularly critical.Based on hydrological analysis,geometric network analysis and other mathematical methods and models,this paper will scientifically and effectively search for the core area of the Minjiang River basin:with the hydrological analysis of Fujian topography,the distribution of water system and river basin is simulated,with geometric network analysis to construct a spatial network model and then obtain the catchment basin,combined with the results of Fujian water function regionalization,the core area of the Minjiang River basinwas obtained,scientifically and accurately locate the key ecological functional areas of the Minjiang River basin.On this basis,by means of spatial analysis tools of GIS for spatial overlay it uses the essential data such as land use statusand forest resources status,to analyze the ecological non-commercial forest spatial distribution,forest status and conservation status,to explore the problems of ecological non-commercial forest protection. It also discusses the problems of returning farmland to forest in Minjiang Source,so as to provide the basis for the scientific and reasonable study of the layout of ecological non-commercial forest,and then optimize the distribution of ecological non-commercial forest.

    New Development in Other Countries
    Data Validation Analysis of Forest Resources Inventory for Planning of Russia
    ZHI Changgui, ZHENG Dongmei, WANG Liuru, CHEN Xinyun, ZHANG Qiao
    2017, 0(4):  151-154.  doi:10.13466/j.cnki.lyzygl.2017.04.023
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    According to data of forest resources inventory for planning of Russia,29 forest resource sub-compartments were selected to carry out the field verification survey,The data of forest resources inventory for planning and the data of validation are compared and analyzed.According to U test results,There was no significant difference between mean volume of the survey and the mean volume of the validation survey,indicating that the data of forest resources inventory for planning is credible.According to F test results,the difference of single mean volume is large between survey and validation,and the reliability is low.

    Thought on Canada Forest Fire Research and Management
    XU Hongwei, QIU Tianqi, LIU Siwen, CHU Juxiang
    2017, 0(4):  155-158.  doi:10.13466/j.cnki.lyzygl.2017.04.024
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    The paper analyzed the history and process of Canada forest fire management,and the management support information system was introduced.Valuable lessons,as taking fundamental forest fire research seriously,collecting forest fire related data persistently,were put forward for Chinese forest fire management,and some related suggestions,as increasing the input in basic forest fire research,strengthening the cooperation between scientific research and management agencies,building the forest fire management mode with Chinese characteristics,are proposed.