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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 （579）   HTML （10）    PDF （6310KB）（3366）       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

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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 （918）   HTML （27）    PDF （4757KB）（3596）       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

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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 Abstract （613）   HTML （15）    PDF （3281KB）（3422）       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

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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 Abstract （981）   HTML （25）    PDF （1148KB）（5841）       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

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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 Abstract （865）   HTML （9）    PDF （1023KB）（4050）       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

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Forest Fire Risk Zoning Based on MaxEnt Model—A Case Study of Yantai Yellow and Bohai Seas New Area LI Jie, CHAO Bixiao, YAN Yuqian, JIANG Fan, ZHANG Dawei, SUN Yongkang, ZOU Quancheng Forest and Grassland Resources Research    2024, 0 (2): 8-16.   DOI: 10.13466/j.cnki.lczyyj.2024.02.002 Abstract （589）   HTML （24）    PDF （2259KB）（1549）       Knowledge map    Save Forest fires are sudden and destructive natural disasters influenced by various factors such as meteorology,terrain,vegetation,and human activities.The establishment of a forest fire risk zoning is essential for effective prevention and controlling forest fires,which is of great significance for carrying out related work in the future.As a machine learning method,MaxEnt has gained widespread domestic and international usage in predicting probabilities of occurrences and identifying zoning of forest fire risk due to its demonstrated high accuracy.Yantai Yellow and Bohai Seas New Area,located at the junction of Jiaodong Peninsula and Yellow and Bohai Seas has a developed economy,high population density,and significant human impact on forests,making it representative of forest fire prevention efforts in China.This study took Yantai Yellow and Bohai Seas New Area as an example and utilized MaxEnt to predict the probability of forest fire occurrence and delineate forest fire risk zoning based on historical fire incident data,as well as dominant environmental variables such as meteorology,topography,land cover types,and socio-economic factors.The research findings indicate that:1)Dominant tree species(group)and population density have significant impacts on forest fire occurrence;2)In Yantai Yellow and Bohai Seas New Area,the areas with high,medium,and general risk levels are similar in size.High-risk areas are mainly concentrated in the southwestern mountainous region,while general-risk areas are primarily found along the northeastern coast.Through verification,this study's results have shown a high level of accuracy and can provide a methodological exploration for subsequent national forest fire risk zoning. Table and Figures | Reference | Related Articles | Metrics

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Characteristics of Seed Rain and Soil Seed Bank in Broad Leaf and Chinese Fir Mixed Forest in Wuchao Mountain JIAO Jiejie, LI Linghuan, WANG Jianmin, SUN Jiejie, WU Chuping, YAO Liangjin, WANG Zhigao, YUAN Weigao FOREST RESOURCES WANAGEMENT    2022, 0 (4): 28-35.   DOI: 10.13466/j.cnki.lyzygl.2022.04.005 Abstract （542）   HTML （5）    PDF （1455KB）（889）       Knowledge map    Save In order to explore the succession mechanism of Chinese fir forests,three 40 m×40 m mixed fir and broad-leaved forests were set up in blocks with similar habitats,such as altitude,slope and aspect,in the mixed forest of fir and broadleaf that have been in natural succession for about 30 years in Wuchao Mountain,Hangzhou.In the sample plot,a seed rain collector was arranged in the sample plot for two years of collection,and the litter layer,0~5 cm humus layer and 5~10 cm soil layer were collected in a sampling area of 0.20 m×0.20 m,and then bagged and marked.75 samples were taken from each plot,in a total of 450 samples,and the seed germination experiment was carried out.Our results showed that there were nine species in the seed rain,of which Cunninghania lanceolata (seed rain density 12.91 seeds/m2)and Elaeocarpus(seed rain density 7.60 seeds/m2)were the main components,accounting for 94.16% of the total.The duration of C.lanceolata seed dispersal was 70 months,with two peaks in July and October,respectively.The duration of seed dispersal of Elaeocarpus was 4 months,with a peak in November to December.Seed of C.lanceolata and Elaeocarpus were also the main species in the soil seed bank.C.lanceolata seeds were mainly stored in the litter layer.In contrast,Elaeocarpus seeds were mainly stored in the 0~5cm soil layer.The seed density and germination rate of Elaeocarpus were 2~5 times higher than those of C.lanceolata.Moreover,the composition of non-dominant species in soil seed bank varied greatly from year to year.The retention of seeds in the litter layer resulted in low seed density in the C.lanceolata forest soil,which was the main reason for the difficulty of the natural regeneration of C.lanceolata.The results indicated that,broad-leaved species could regenerate via seeds in natural succession. Table and Figures | Reference | Related Articles | Metrics

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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 （1952）   HTML （14）    PDF （1197KB）（2786）       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

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Status Analysis and Restoration Suggestions of Degraded Forest in Three-North Engineering Area of Inner Mongolia DUAN He, ZHANG Jianbo, ZHANG Zhongwang FOREST RESOURCES WANAGEMENT    2022, 0 (1): 174-179.   DOI: 10.13466/j.cnki.lyzygl.2022.01.021 Abstract （878）   HTML （13）    PDF （1179KB）（1606）       Knowledge map    Save In order to accurately grasp the distribution of degraded forest land in the Three-North Shelterbelt Project area of Inner Mongolia,promote the construction of the Three-North Shelterbelt Project,and continuously improve the quality of forest resources and the ecological environment in the Three-North Shelterbelt Project area of Inner Mongolia,Forestry and Grassland Bureau of Inner Mongolia Autonomous Region organized the survey of degraded forest land in the Three-North Shelterbelt Project area in 2021. The results showed that the area of degraded forest in the Three-North Project area was 3019432.30 hectares,of which 16.86% and 83.14% were degraded forest and degraded shrub land. The main reasons for forest degradation were physiology,site,disaster and human activities. The area of forest degradation caused by physiology and disaster accounted for 45.81% and 38.13% respectively. Mildly degraded,moderately degraded,and severely degraded areas accounted for 0.88%,64.86% and34.26 %,respectively. The degraded forests were mainly distributed in the western part of Inner Mongolia,and further measures such as renewal,restoration,tending,enclosure and habitat restoration should be taken to restore the degraded forests so as to maintain the achievements of regional ecological construction. Table and Figures | Reference | Related Articles | Metrics

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Characteristics and discussion on protection and management strategies of ancient and notable trees in China JIANG Chunying, SUN Zhichao, YU Shiyong, HOU Chuncai, YANG Xueqing Forest and Grassland Resources Research    2025, 0 (1): 6-16.   DOI: 10.13466/j.cnki.lczyyj.2025.01.002 Abstract （411）   HTML （110）    PDF （1447KB）（964）       Knowledge map    Save To gain an in-depth understanding of the characteristics of ancient and notable tree resources in China,based on the data from the second national census of ancient and notable tree resources,this study analyzes the quantity,types,spatial distribution,growth characteristics,and health status of ancient and notable trees,and explores the multiple challenges faced by current protection management in terms of responsibility awareness,ownership management,ecological protection,and technological application.The results showed that there are a total of 5.0819 million ancient and notable trees in China,including 1.2213 million scattered ancient and notable trees,belonging to 2553 species of 608 genera in 157 families,mainly distributed in Northern China and southern regions.The ownership is mostly collective,with the majority being third-grade ancient trees.The tree height is concentrated between 10-20 m,the chest circumference is concentrated between 100-300 cm,and the crown width is concentrated between 5-20 m.There is a significant correlation between the growth potential of ancient trees and their growth environment.Under the current situation,in order to better protect ancient and notable tree resources,it is necessary to further optimize management strategies,implement graded and classified protection,improve financial support,establish a sound legal and educational system,and promote technological empowerment. Table and Figures | Reference | Related Articles | Metrics

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Analyses on Arbor Tree Species Distribution Pattern and Stand Spatial Structure Heng WU, Liyan ZHU, Hailiang WANG, Zhijun LIU FOREST RESOURCES WANAGEMENT    2020, 0 (1): 54-61.   DOI: 10.13466/j.cnki.lyzygl.2020.01.008 Abstract （2108）   HTML （51）    PDF （1521KB）（2436）       Knowledge map    Save Trees are an important factor in the stablity of forest ecosystem.The analysis of stand structure is of great significance to the stability protection and sustainable management of forest ecosystem.In this paper,the ninth national forest resources inventory data and special survey data of vegetation quadrat were used for cluster analysis to calculate tree species distribution pattern index and stand structure characteristic index,and the Gaussian distribution was used to fit the probability distribution of structure characteristic index,so as to provide a reference for forest ecosystem protection and management.The results show that the distribution of main tree species is clustered.The dispersion degree of arbor forest mixture index Mci is greater than that of tree species spatial structure TSS index. TSS index distribution shows the left truncated normal distribution,and the Mci index distribution shows the inverted "J" distribution.The fluctuation and continuous stability of the index may be related to artificial afforestation and natural forest protection. Table and Figures | Reference | Related Articles | Metrics

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Exploration of Forest Land Use Planning in Papua New Guinea Based on the FSOS Model JIN Zhonghao, LIU Guoliang, XIAO Wenfa, YU Xin, ZENG Wenjie, YANG Xinyu, CHENG Fushan, ZHU Jianhua FOREST RESOURCES WANAGEMENT    2022, 0 (zk1): 135-140.   DOI: 10.13466/j.cnki.lyzygl.2022.S0.019 Abstract （426）   HTML （2）    PDF （1230KB）（353）       Knowledge map    Save Based on the China's forest simulation and optimization platform FSOS(Forest Simulation Optimization System) using simulated annealing algorithm,this paper preliminarily discussed the forest land utilization planning at the national level in Papua New Guinea.Scenario 1:Continue to maintain the existing mode of natural forest management.Scenario 2:Select part of the wasteland suitable for forest to manage plantations and protect natural forest,and carry out short-term(25 years) and long-term(200 years) utilization and protection planning of its woodland,and compare it with the scheme of planting palm oil.The simulated analysis showed that if scenario 1 was adopted,maximum timber output would be 10 million m3 per year,and almost all of the natural forests would lose at the end.If scenario 2 was adopted,the timber output of plantations would significantly increase and most of the natural forests have been effectively protected,with the natural forests being effectively conserved.The result of simulated analysis provides a reference for planning natural forest protection and timber plantation establishment of PNG. Table and Figures | Reference | Related Articles | Metrics

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Study on Data Frame System of the Prevention and Control of the Public Security in the Forest District from the Perspective of the Big Data Strategy LUO Jialin, CHEN Jimin, SHI Guang FOREST RESOURCES WANAGEMENT    2020, 0 (6): 13-17.   DOI: 10.13466/j.cnki.lyzygl.2020.06.003 Abstract （802）   HTML （8）    PDF （1751KB）（1133）       Knowledge map    Save The system of public security prevention and control in the forest district plays an important role in the safety of forest and wildlife resources as well as the safety of public security and people’s life and health.In order to build a social governance pattern of co-construction,co-governance and sharing,the public security prevention and control system in the forest district should be integrated into the general framework of the public security prevention and control.With the public security prevention and control system as the subject,this paper analyzes the related issues in the current system in the forest district and designs the data framework system by applying big data technology.The new system consists of three modules:data collection module,data analysis and decision-making module and executive module.With the construction of the system,we can greatly improve the social governance ability in the forest district and guarantee structural reform efficiency of public security. Table and Figures | Reference | Related Articles | Metrics

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Effects of Biochar on Seed Germination and Seedling Growth of Betula platyphylla WU Xinghui, SU Baoling, QI Lin, WANG Yan, MA Yue, ZHOU Li FOREST RESOURCES WANAGEMENT    2020, 0 (6): 128-134.   DOI: 10.13466/j.cnki.lyzygl.2020.06.021 Abstract （785）   HTML （8）    PDF （1617KB）（1198）       Knowledge map    Save Forest fire cause a large number of biochar input into the soil,change the soil physical and chemical properties and nutrient cycling and then affect postfire regeneration and succession.Betula platyphylla is a pioneer tree species in post fire succession in Daxing'anling Mountains.The succession process and community dynamics of coniferous forest in North China are closely related to soil biochar.In this paper,the effects of different types of biochar (larch leaf biochar,larch trunk biochar and moss biochar) on soil water loss and soil pH,and seed germination and seedling growth of Betula platyphylla were studied by pot experiment.Negative effect of biochar on seed germination was observed,in which larch leaf derived biochar had the greatest negative effect,moss derived biochar had the least negative effect on seed germination (larch leaf derived biochar:0.5%,moss derived biochar:1.17%);Positive effect of biochar on seedling growth was observed.Biochar addition significantly increased seedling height,especially the height of seedlings grow in moss derived biochar amended soil.In addition,biochar increased the soil water holding capacity,reduced the water loss rate,which further influenced the seed germination rate and seedling growth of Betula platyphylla. Table and Figures | Reference | Related Articles | Metrics

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Predicting the Probability of Tropical Forest Fires in Hainan Island Based on Random Forest Model CHEN Xiaohua, CHEN Zongzhu, YANG Qingqing, LEI Jinrui, WU Tingtian, LI Yuanling, PAN Xiaoyan Forest and Grassland Resources Research    2024, 0 (6): 140-145.   DOI: 10.13466/j.cnki.lczyyj.2024.06.016 Abstract （507）   HTML （6）    PDF （1335KB）（632）       Knowledge map    Save In the context of global climate change,the forest fire prevention situation on Hainan Island is becoming increasingly severe,and it is urgently needed to analyze the driving factors of tropical forest fires on Hainan Island and build a strong predictive model that is applicable.Utilizing historical forest fire data compiled by the forestry department from ground surveys and MOD14A fire detection,a comprehensive dataset was established for Hainan Island.This dataset was combined with climate,vegetation,topography,and human activity data to construct a predictive model using the random forest methodology.1)The average monthly temperature is the most influential factor on forest fire risk in Hainan Province,followed by the average monthly precipitation.2)Comparative model analysis shows the random forest model,with an AUC value of 1,outperforms the geographically weighted logistic regression model,which has an AUC value of 0.88,indicating that the random forest model is more suitable for predicting the probability of tropical forest fires on Hainan Island than the geographically weighted logistic regression model.3)The spatial distribution of forest fire risk on Hainan Island mainly occurs in the west.This study believes that the random forest model is more applicable than the geographically weighted logistic regression model in building a predictive model for tropical forest fire risk. Table and Figures | Reference | Related Articles | Metrics

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Response of Ecologically Stoichiometric Characteristics of Pinus yunnanensis to Elevation Adaptability in Western Yunnan HUA Guoli, HE Yingnian, PU Lei, MU Dejin, TANG Junrong, XU Yulan, CHEN Shi, CHEN Lin Forest and Grassland Resources Research    2024, 0 (3): 33-41.   DOI: 10.13466/j.cnki.lczyyj.2024.03.005 Abstract （507）   HTML （12）    PDF （1987KB）（404）       Knowledge map    Save This study explores the response of eco-chemometrics of Pinus yunnanensis to elevation and investigates the relationship between nutrient elements in different organs of P.yunnanensis and soil nutrient elements,providing theoretical support for the management of P.yunnanensis forests.The natural secondary forests of P.yunnanensis at different elevations in Northwest Yunnan were studied,carbon(C),nitrogen(N),phosphorus(P)and their stoichiometric characteristics in different organs and rhizosphere soil of P.yunnanensis at different elevations(1 900 to 2 900 m)were compared.The results showed that the N content of needles was higher than that of fine roots,and the N∶P ratio of both needles and fine roots was less than 14.Additionally,the contents of soil C(13.037 g/kg)、N(1.446 g/kg)and P(0.473 g/kg)were lower than the average levels of topsoil in China.The contents of N,P,C∶N,C∶P,N∶P in rhizosphere soil were significantly affected by elevation,while the nutrient contents and stoichiometric characteristics of needles and fine roots of P.yunnanensis showed no significant changes across elevation gradients.The contents of C and C∶N in needles of P.yunnanensis belong to sensitive steady state and weak steady state respectively,the other indexes belong to absolute steady state.While the contents of C,N,P,C∶N,C∶P,N∶P in fine roots of P.yunnanensis were not significant,all belonging to absolute steady state.The growth of P.yunnanensis in poor soil with low nitrogen and phosphorus,and its growth is mainly restricted by N,but P.yunnanensis adapts to the change of elevation gradient by increasing N absorption into plants and distributing more N into needles P.yunnanensis has good adaptability to the rhizosphere soil environment in the range from 1 900 to 2 900 m.This study revealed the adaptability of stoichiometric characteristics of P.yunnanensis to elevation in western Yunnan,and provides data to support further research on nutrient distribution pattern and environmental adaptability of P.yunnanensis. Table and Figures | Reference | Related Articles | Metrics

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Leaf Functional Traits of Lianas in Maolan Karst Forest CHEN Chunwu, BAI Xiaolong, CHEN Hongyan, LI Wangjun Forest and Grassland Resources Research    2024, 0 (6): 107-116.   DOI: 10.13466/j.cnki.lczyyj.2024.06.013 Abstract （551）   HTML （3）    PDF （2144KB）（734）       Knowledge map    Save Revealing the adaptation strategies of liana leaf in karst rocky desertification habitats could provide basic data and theoretical basis for vegetation restoration and reconstruction of rocky desertification areas.In this study,leaf samples of 8 common liana species in the Maolan Karst rocky desertification habitat were gathered to evaluate their morphological,anatomical,and elemental composition indices.The characteristics of the intraspecific and interspecific variations in leaf traits of lianas were analyzed,and the resource strategies adopted under the karst rocky desertification habitats were further explored.1)Various degrees of intraspecific and interspecific variations were present in leaf morphological,anatomical,and chemical element traits.The intraspecific variation ranged from 0.07% to 34.56%,whereas interspecific variation spanned from 4.30% to 70.05%.2)Leaf nitrogen content was significantly positively correlated with phosphorus content and potassium content,and phosphorus content was significantly positively correlated with potassium content.3)Principal component analysis showed that species with higher specific leaf area,nitrogen content,phosphorus content,and magnesium content,such as Rubus alceifolius,Parthenocissus semicordata,Berchemia floribunda and Callerya cinerea,were clustered on the negative correlation side of the first principal component,tending to adopt a resource acquisition strategy.While species with higher thickness of various leaf tissues,calcium content,carbon-to-nitrogen ratio,and nitrogen-to-phosphorus ratio,such as Rosa laevigata,Elaeagnus bockii,Smilax china and Bauhinia curtisii,were clustered on the positive correlation side of the first principal component,suggesting a resource conservation strategy.Overall,the study highlighted significant intraspecific and interspecific variability in leaf morphological,anatomical,and chemical traits within the karst rocky desertification context.Notable correlations among different traits were identified,with species exhibiting similar leaf trait syndromes adopting analogous resource strategies. Table and Figures | Reference | Related Articles | Metrics

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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 （6607）   HTML （475）    PDF （1091KB）（4606）       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

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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 Abstract （801）   HTML （7）    PDF （2297KB）（3269）       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

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Carbon Storage and Carbon Density of Forest Vegetation and Their Spatial Distribution Pattern in Yunnan Province TANG Haofan, XU Yanhong, AI Jianlin FOREST RESOURCES WANAGEMENT    2019, 0 (5): 37-43.   DOI: 10.13466/j.cnki.lyzygl.2019.05.008 Abstract （1412）   HTML （29）    PDF （1430KB）（1327）       Knowledge map    Save By using the data from the Second Survey of Forest Resource Inventory of Yunnan in 2016,we use the methods of Variable Biomass Extension Factor Method and average biomass computing method,and combine them with the calculation parameters of different age grades of each tree species.The carbon storage and density in different stands of forest are estimated and their spatial patterns are analyzed.The results show that the total carbon storage of forest vegetation is 892.596 Tg,and the average forest carbon density is 39.260 t/hm2.The carbon storage of arbor forest account for 95.67% of the total carbon storage;and that of trees Yunnan pine (Pinus yunnanensis) and oak accounted for 58.34% of the total carbon storage of arbor forest;their amount increase with developed stages in time,and the carbon storage of young and middle-aged forests only account for 49.97% of the total carbon storage of arbor forest;both of carbon storage and carbon density in natural forest are higher than that in artificial growth forest and plantation forest.The spatial distribution of both of that in Yunnan province is generally higher in the western regions but lower in the eastern regions.For management consideration we suggest that geological and environmental conditions and anthropogenic effects may be the important factors leading to uneven distribution of that.It is an important way to improve the forest carbon storage and carbon storage per unit area in the whole province by strictly protecting and restoring the forest vegetation in the rocky desertification area,it is necessary to carry out the project of precise improvement of forest quality,strengthening the artificial afforestation,tending and the management toward the closure of forests in the mountain and raising the forest,etc. Table and Figures | Reference | Related Articles | Metrics