Table of Content

28 December 2024, Issue 6

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Integrated Management and Administration

Development Process,Challenges and Countermeasures of National Desert Park in China

WANG Wenbo, WANG Jie, BAI Bing, ZHANG Pengqian, JIANG Jiya, GUO Dehua, XU Xing, ZHANG Liangen

2024,(6):  1-9.  doi:10.13466/j.cnki.lczyyj.2024.06.001

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With the inclusion of the desert as part of ‘a life community of mountains,rivers,fields,grass,lakes,grasslands and desert’,National Desert Park has become one of the most prominent areas in the protected area system.The development process of China’s National Desert Park can be divided into three stages:pilot exploration stage,rapid development stage,and high-quality development stage.The current development status of China’s National Desert Park is discussed,and it summarizes the construction achievements in protecting desert ecosystems,strengthening the protected area system,consolidating the achievements of sand prevention and control,promoting local economic development,and raising social participation and public awareness of ecological protection.The challenges faced in the construction and management of National Desert Park are discussed,and countermeasures are proposed in four areas:establishing a sound governance system,optimizing spatial layout,establishing desert park characteristic brands,and enhancing scientific and technological investment.

The Mechanism for Forest Ecological Benefit Compensation in China

SUN Hongru, WU Jianwei, LI Chenchen, YU Liyao, LIU Wei, ZHANG Hongwei

2024,(6):  10-18.  doi:10.13466/j.cnki.lczyyj.2024.06.002

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The mechanism for forest ecological benefit compensation is a crucial tool for maintaining a healthy and balanced relationship between forest ecological beneficiaries and participants in conservation.Since the initial establishment of this mechanism in China,related policies have been continuously refined,and measures have been actively implemented.All these have effectively enhanced the ability and the effectiveness of forest ecological benefit compensation.This study compiles various policies and measures in the field of forest ecological benefit compensation in China over these years,and outlines the main developments in this academic field.These include the increase in the types and numbers of participants involved in forest ecological benefit compensation,the clarification of the entities being compensated,and the enhancement of compensation standards.The proposals for China's forest ecological benefit compensation policy should include developing categorized and dynamically adjustable allowance policies,strengthening carbon sequestration trading,enhancing the diversity of ecological products,and optimizing the design of compensation management.This study aims to promote the formation of an ecological protection compensation mechanism in China that is compatible with socio-economic development,providing theoretical support and practical guidance for achieving high-level ecological protection and high-quality development of forest resources.

Regional Differences in Forest Fire Risk and Management Efficiency in China

NING Wei, DENG Weihui, FAN Juanjuan, ZHANG Yuxing

2024,(6):  19-26.  doi:10.13466/j.cnki.lczyyj.2024.06.003

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Forestry serves as an indispensable subject in the advancement of ecological civilization and plays a vital role in achieving the carbon peaking and carbon neutrality goals.Despite the remarkable achievements in the nation’s forestry sector,there are notable regional disparities in forestry risk management capabilities.Reducing risks and enhancing management efficiency remain critical challenges that urgently require solutions in forestry administration.Based on forest insurance data regarding fire damage,the Loss Distribution Method was employed to evaluate the efficiency of forest fire risk management across 31 provinces(autonomous regions,municipalities),excluding Hong Kong,Macao,and Taiwan.Compare the evaluation results with those obtained from the disaster cause analysis method in the forestry field.The study revealed that fire risks are relatively high in Inner Mongolia,Heilongjiang,Sichuan,and Yunnan.However,the insurance loss rates in these regions are significantly lower than the disaster cause loss rates,indicating that the efficiency of fire risk management in these areas effectively mitigates the impact of disaster-causing factors,thereby substantially reducing the actual losses associated with forest fire risks.To further enhance the efficiency of forest fire risk management in China,it is imperative to establish a strength forestry management system,develop cooperative mechanisms with advanced regions and key forested areas,and strengthen interprovincial experience exchange and collaboration.

Research on Forest Loss Assessment Based on Multi-Source Datasets

CAI Yingli, ZHU Hongge

2024,(6):  27-34.  doi:10.13466/j.cnki.lczyyj.2024.06.004

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Accurate assessment of forest loss is essential to effectively curb forest area loss and guaranteeing the provision of forest ecosystem services.This research systematizes the research progress of forest loss assessment and categorizes principal datasets into forest inventory datasets and satellite remote sensing image datasets.A comprehensive analysis of these datasets reveals the advantages and disadvantages and evaluates the assessment efficacy of different datasets by comparing their limitations as indicated in current studies.Based on these findings,three optimization strategies are proposed.1)Endogenous optimization of the dataset to improve its assessment accuracy.2)Employing dataset fusion techniques to integrate the strengths of multiple datasets for complementary benefits.3)Incorporating geographic information data to enhance the comprehensiveness and accuracy of forest loss assessment.A comprehensive review of datasets for forest loss assessment not only augments the theoretical framework of this research domain but also lays the scientific foundation for efficient conservation and management of forest resources.

Scientific Research

The Impact of Fire Severity on Soil Microbial Biomass and Community Composition in Larix gmelinii Forests

YANG Guang, WANG Xinyu, MA Yunjia, LIU Zhaoyan, WANG Lixuan, SUN Jian

2024,(6):  35-44.  doi:10.13466/j.cnki.lczyyj.2024.06.005

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Understanding the response of soil microbial communities to fire severity in flat and sloping forests,as well as the factors influencing microbial composition in fire slash,is crucial for guiding ecological restoration efforts.The fire slash of Larix gmelinii forest after restoration for 1 year from low,medium and high severity fires in the Bilahe Forestry Bureau of Inner Mongolia were selected as research subjects.Using phospholipid fatty acid(PLFA)analysis,soil microbial biomass and community composition were assessed at soil depth from 0 to 5 cm.Differences in soil microbial biomass,community composition and diversity in flat and sloping lands of different fire severities were analyzed.The combined effects of fire severity,slope,and soil nutrient indicators on soil microbial biomass were further explored by redundancy analysis(RDA)and structural equation modeling(SEM).1)Among microbial groups in both control plots and burnt areas,Gram-negative bacteria had the highest biomass,followed by Bacteria and Grampositive bacteria,then Fungi and Actinomycetes,and the smallest was Arbuscularmycorrhizal fungi.2)The biomass of Arbuscularmycorrhizal fungi was hardly affected by fire.Except for the Arbuscularmycorrhizal fungi,the biomass of microbial groups and community diversity indices of flat soil increased but were insignificant after fire,while in sloping soils,microbial biomass increased significantly(P<0.05).Biomass and community diversity indices of soil microbial groupsinsloping soil were largest after low severity fires.The change of Grampositive bacterial biomass was the main driving force of the response of soil microbial community to fire severities in sloping land.3)Fire severity,slope,and soil nutrient indicators all significantly(P<0.01)affected the biomass of microbial groups,with the direct effect in the order of soil nutrient indicators,fire severity,and slope.Soil nutrient indicators of water-soluble organic carbon content were strongly and positively correlated with the biomass of fungi,and ammonium nitrogen content was positively correlated with the biomass of Gram-positive bacteria.Consequently,fire severity and slope not only have a direct effect on soil microbial biomass and community composition,but also have an indirect effect on the biomass of soil microbial groups by regulating soil nutrient indicators.

Analyzing the Impact of Sample Structure on Fitting Results of Forestry Mathematical Models

ZENG Weisheng

2024,(6):  45-53.  doi:10.13466/j.cnki.lczyyj.2024.06.006

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Sample structure and estimation method significantly influence the fitting accuracy of mathematical models.While the importance of estimation method is well-documented,the critical role of sample structure has received insufficient attention.This study designed eight sets of simulation datasets incorporating factors such as model complexity,data heteroscedasticity and sample homogeneity.Ordinary regression and weighted regression methods were applied to eight simulation datasets and their segmented samples to fit the biomass and tree height growth model.Six evaluation metrics were used to assess model fitting:coefficient of determination(R²),standard error of estimate(SEE),total relative error(TRE),average systematic error(ASE),mean prediction error(MPE),and mean percent standard error(MPSE).1)Under ideal modeling sample conditions,both heteroscedastic and homoscedastic models produced identical results using ordinary and weighted regression methods,with TRE and ASE values approaching zero.2)The sample structure emerged as the key determinant of modeling result,outweighing the choice of parameter estimation methods.3)The quality of sample structure depends not on the number of diameter or age(independent variable)classes,nor on the uniformity of sample size is distributed according to the independent variable classes,but on the even distribution of samples within each class.To enhance model accuracy,it is crucial to maximize coverage of the variation ranges of independent and dependent variables,divide independent variables into classes rationally,and scientifically allocate the samples sizes within each class.Emphasis should be placed on improving sample structure to ensure high-quality data for modeling.

Remote Sensing Monitoring and Spatiotemporal Characteristics Analysis of Forest Loss in East China from 2001 to 2023

WANG Shangxiao, NIU Xiaonan, ZHANG Ming, ZHANG Jie, ZONG Leli, ZHOU Mo, TANG Zhimin

2024,(6):  54-63.  doi:10.13466/j.cnki.lczyyj.2024.06.007

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Forest loss is regarded as a significant impediment to contemporary social development.Understanding of the long-term patterns of forest loss in East China is essential for the forest management and conservation.By employing a high-resolution forest change dataset(GFC),this study examined the spatial and temporal dynamics of forest loss patterns in East China.This involved utilising spatial analysis techniques,including trend analysis and analysis of emerging spatiotemporal hotspots.1)From 2001 to 2023,the total area of forest loss in East China was approximately 3,828,200 hm².Both the area of forest loss and the number of patches demonstrated a rapid increase from 2001 to 2008,followed by fluctuating changes.2)Statistical analysis based on 10 km grid divisions revealed that the primary types of forest loss were mild and moderate,characterized by small-scale fragmentation.3)Most regions in East China exhibited an increasing trend in forest loss,with emerging hotspots of forest loss in Anhui Province.Over the past two decades,the forest area in East China has undergone a notable decline,particularly in regions of Fujian,Jiangxi,and Anhui provinces.The observed forest loss exhibits a pattern of small-scale fragmentation and an increasing trend on an annual basis,underscoring the need for enhanced monitoring and protection measures.

Spatiotemporal and Sustainability Analysis of the Ecological Environment Quality in the Ulansuhai Basin Area

WANG Haoqiong, HU Yi, WANG Haochen, SHU Yong, LUO Weijian

2024,(6):  64-72.  doi:10.13466/j.cnki.lczyyj.2024.06.008

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As part of the third phase of the ‘integrated conservation and management of mountain,river,forest,farmland,lake,grassland and desert ecosystems project’,exploring the spatial and temporal changes in ecological environmental quality and the factors influencing it in the Ulansuhai basin plays an important role and has practical significance for ecological environment restoration.Utilizing the MODIS dataset from the Google Earth Engine platform,we developed the Remote Sensing Ecological Index(RSEI)for the Ulansuhai Nur basin for the years 2000,2005,2010,2015,and 2020.Trend analysis and the Hurst Index were then employed to reveal the spatial and temporal changes,and the sustainable change characteristics of the region.1)The annual average RSEI in the Ulansuhai basin shows a fluctuating upward trend,indicating that the vegetation as a whole is in a state of gradual recovery.2)Persistent degradation and ambiguous future trajectories are notable in specific areas of the Ulansuhai Nur basin,underscoring the need for ongoing and focused conservation efforts.3)The quality of the ecological environment in the Dengkou and mine management areas has significantly improved,and the areas of forests and shrublands show an increasing trend.4)The improvement and maintenance of the ecological environment of the Ulansuhai basin still requires long-term monitoring and refined management.The RSEI dataset was constructed through the GEE platform,which enabled the analysis and monitoring of changes in regional ecological and environmental quality,providing references for the management and decision-making in ecological engineering governance and restoration.

Flora and Species Diversity Characteristics of Qingyunshan Provincial Nature Reserve in Wengyuan County,Guangdong Province

YAO Liyan, PEI Nancai, LI Le, GAO Bingtao, HAO Zezhou, YIN Xing'an, LI Jiarui, LI Wangdong

2024,(6):  73-80.  doi:10.13466/j.cnki.lczyyj.2024.06.009

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The forest trees germplasm resources are fundamental and strategic resources for social development and forestry production.This study focuses on the Qingyunshan Nature Reserve in Wengyuan County,a critical forest region in Guangdong Province.By using 3S technology and systematic sampling methods,6 transects and 6 quadrats were designated for field surveys of the vegetation.At the same time,the alpha diversity measurement method was employed to assess species diversity within these quadrats.Linear regression models were applied to analyze the relationship between diversity indices and elevation,providing insights into the vegetation characteristics of woody plants in the reserve from the perspectives of plant flora and species diversity.1)A total of 82 species belonging to 48 genera and 32 families of woody plants were recorded within the study area,including 3 families,3 genera,and 3 species of gymnosperms,and 29 families,45 genera,and 79 species of angiosperms.2)The 48 genera of seed plants could be classified into 14 distribution area,with 35 genera(72.92% of the total)having tropical distributions and 13 genera(27.08% of the total)having temperate distributions.3)The diversity indices for woody plants within the reserve demonstrated an upward trend with increasing elevation.Specifically,linear regression analysis highlighted significant variations in the Margalef richness index and Simpson dominance index across different elevational zones.The study underscores a relatively high diversity in the reserve,correlating positively with elevations ranging from 300 m to 700 m.

The Influence of the Planting Patterns of Forest Shelterbelts along the Yellow River in the Hobq Desert on Under-forest Vegetation Diversity

GAO Yue, MENG Zhongju, YANG Yi, XIN Jing, MI Hongzhuo, WANG Zhiqiang

2024,(6):  81-90.  doi:10.13466/j.cnki.lczyyj.2024.06.010

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To investigate the effects of different protection forest allocation modes on the diversity of understory vegetation along the Yellow River in the Hobq Desert,in order to provide a reference basis for optimising the planting patterns,improving the management effect of plantation forests in sandy areas,and consolidating the effectiveness of sand prevention and sand control.Five types of planting patterns of forest shelterbelts along the Yellow River in the Hobq Desert were used as the research objects[Populus simonii+Pinus sylvestris var.mongholica mixed forest(XZ),Populus simonii+Caragana korshinskii mixed forest(XN),Populus simonii+Corethrodendron lignosum mixed forest(XY),Populus simonii+Corethrodendron scoparium mixed forest(XH),and Populus simonii+Corethrodendron scoparium+Salix psammophila mixed forest(XHS)],and the under-forest vegetation communities were surveyed for species compositions by the application of the richness index(R),Shannon-Wiener diversity index(H'),Simpson dominance index(D)and Pielou evenness index(J)to analyse the diversity characteristics of the under-forest vegetation under different planting patterns.1)Plant species were relatively limited in the study area,with a total of 20 plant species in 8 families and 18 genera recorded,of which Fabaceae,Poaceae and Amaranthaceae dominated.2)The XN and XH modes significantly promoted the succession of under-forest shrub communities;XHS mode was more conducive to the succession of under-forest herbaceous layer.3)The highest biomass was found in the XZ mode,whereas the lowest was found in the XHS mode.This indicated that different configuration modes had significant effects on the organic matter accumulation and productivity of the community,with the XZ mode being more effective in improving the productivity of the community.4)There were significant correlations between stand factors,such as tree diameter at breast height(DBH),tree height(TH),crown spread(CR),and the diversity indices,cover,and density of the shrubs and herbaceous plants.By reasonably adjusting the structure of the tree layer,the growth and diversity of under-forest vegetation can be effectively improved,thus further optimising the ecological function of plantation forests.

Evaluation and Selection of Growth Variation in Provenances Character of 35-year-old Pinus koraiensis

SHANG Fuqiang, MA Xiaoyu, GAO yuan, MA Zhiqiang

2024,(6):  91-97.  doi:10.13466/j.cnki.lczyyj.2024.06.011

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This study aimed to select superior provenances of Pinus koraiensis to support breeding and genetic improvement efforts in Liaoning Province.The 35-year-old provenance trial of Pinus koraiensis in the Liaoning province was conducted,measuring the height and diameter at breast height(DBH)of trees from 10 provenances from the three provinces of Northeast China,and calculating the volume.Using variance analysis,genetic parameter estimation,multiple comparisons and breeding value estimation,the study explored the genetic variation characteristics,trends,and their relationship with environmental factors.By accurately estimating the genetic parameters and breeding values of various characters,comprehensively evaluated and selected superior provenances of Pinus koraiensis.1)The differences in tree height,DBH,and individual stem volume among provenances and blocks reached significant(P<0.05)and highly significant levels.The tested provenances exhibited abundant variations in growth characters,with phenotypic variation coefficients ranging from 12.61% to 52.47%.The heritabilities of tree height,DBH,and individual stem volume were high,all exceeding 50%.2)Characters showed a trend of increase from northwest to southeast,reflecting a temperature and longitude gradient pattern,with tree height notably influenced by geographic factors.3)Based on the comprehensive breeding values for each character,provenance No.3 was identified as a superior Pinus koraiensis provenance,with a 10% selection rate.

Photosynthetic Characteristics and Carbon Fixation and Oxygen Release Capacity of 12 Tree Species in Baotou City

WU Le, GAO Runhong, HAN Shumin, JIA Kexin

2024,(6):  98-106.  doi:10.13466/j.cnki.lczyyj.2024.06.012

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Studying the photosynthetic characteristics,carbon fixation,and oxygen release capacity of tree species,along with screening the dominant species for carbon fixation and oxygen release,provides important guidance for the development of forestry carbon sinks and ecological environment construction.This study focused on 12 tree species that are predominant in Baotou City,and their photosynthetic physiological parameters were measured using a CI-340 portable photosynthesis system.Pearson correlation and systematic cluster analysis were used to explore the diurnal variation in the net photosynthetic rate of tree species and its relationship with environmental factors.Additionally,and the carbon fixation and oxygen release capacity of tree species was evaluated.1)Among the 12 tree species,Ulmus pumila,Pinus sylvestris var. mongholica Litv.and Picea asperata showed unimodal diurnal variation of the net photosynthetic rate.The bimodal tree species are Pinus tabuliformis,Populus simoniiand and Reaumuria songarica.2)Tree species with a single peak of water use efficiency were Picea asperata,Juniperus rigida and Pinus tabuliformis.The tree species with a bimodal type are Sorbaria sorbifolia;the tree species that decreased first and then increased were Ulmus pumila,Pinus sylvestris var.mongholica Litv.and Platycladus orientalis.3)The tree with the highest net photosynthetic rate was Ulmus pumila.while the shrub with the highest net photosynthetic rate was Tamarix chinensis.The tree with the strongest water use efficiency is Pinus sylvestris var.mongholica Litv.,and the shrub with the strongest water use efficiency is Caragana tibetica.4)Net photosynthetic rate was significantly positively correlated with both transpiration rate and stomatal conductance.5)The carbon fixation and oxygen release capacity of tree species in Baotou City can be classified into three grades according based on strength:Ulmus pumila and Populus simonii are grade I;Pinus sylvestris var.mongholica Litv.is grade II;and Picea asperata.,Platycladus orientalis,Pinus tabuliformis and Juniperus rigida are grade III.The carbon fixation and oxygen release capacities of shrub species were classified into three grades:Tamarix chinensis was grade I;Juniperus sabina and Sorbaria sorbifolia are grade II;and Reaumuria songarica and Caragana tibetica Kom.are grade III.It is recommended to select Ulmus pumila,Populus simonii and Tamarix chinensis as the preferred tree species for carbon fixation and oxygen release.In areas with poor water conditions,Pinus sylvestris var.mongholica Litv.,Picea asperata and Caragana tibetica are recommended.

Leaf Functional Traits of Lianas in Maolan Karst Forest

CHEN Chunwu, BAI Xiaolong, CHEN Hongyan, LI Wangjun

2024,(6):  107-116.  doi:10.13466/j.cnki.lczyyj.2024.06.013

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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.

Technical Application

Construction of Fuel Load Models for Different Tree Vegetation Types in Sichuan Province

CHEN Haoquan, WANG Hongrong, ZHANG Wen, DONG Chen, MIN Zhiqiang

2024,(6):  117-128.  doi:10.13466/j.cnki.lczyyj.2024.06.014

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The study of fuel load models provides a theoretical foundation for the scientific assessment and prevention of forest fire risks in Sichuan Province,while also contributing to sustainable forest management and fire prevention strategies.Using data from 6 848 standard arbor sample plots collected during the Sichuan Province Forest Fire Risk Survey,arbor forests were categorized into five forest types based on vegetation zones and types.The fuel load characteristics of different vegetation types were analyzed,and a Pearson correlation analysis was conducted to identify the key factors influencing fuel load.Utilizing various curve-fitting techniques,optimal relationships between these pivotal factors and fuel load were established,which were subsequently combined to construct a regression model based on composite variables.This composite variable model was compared to a multiple stepwise regression model to identify the most effective fuel load estimation model.1)Significant differences were observed in the fuel load characteristics among vegetation types.The arbor layer accounted for the largest proportion of the fuel load,while the litter layer contributed the least.2)Key factors influencing fuel load varied across vegetation types.Average tree height,average diameter at breast height,and age group emerged as major influencing factors across multiple vegetation types,whereas altitude,canopy density,and stand density had significant impacts in specific vegetation types.3)Both the composite variable regression model and the multiple stepwise regression model exhibited strong predictive performance.However,the optimal model depended on the forest type.The composite model performed best for cold coniferous forests,while the multiple stepwise regression model achieved higher predictive accuracy for cold broadleaf forests,subtropical coniferous forests,subtropical broadleaf forests,and subtropical mixed forests.The models developed in this study are methodologically robust and generate reliable predictions.These models are recommended for estimating the fuel loads of various vegetation types in Sichuan Province,providing critical support for future fire risk assessments and prevention strategies.

Construction of Compatibility Models for Aboveground Biomass of Individual Trees in Larix gmelinii var.principis-rupprechtii plantation

MA Yuan, WANG Zhibo, YE Dongmei, LIU Fengling

2024,(6):  129-139.  doi:10.13466/j.cnki.lczyyj.2024.06.015

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Based on the measured biomass data from 44 Larix gmelinii principis-rupprechtii trees in Sumushan Forest Farm of Inner Mongolia,different tree measurement factors were used to construct a single-tree independent basic model and a compatibility model under three methods(total direct control adjustment method,total direct control simultaneous equations method and algebraic sum control method).1)The determination coefficient of the optimal independent basic model and the compatibility model with DBH as the independent variable ranged from 0.766 to 0.943,the root mean square error(RMSE)was less than 20.030 kg,the total relative error was within±1.905%,and the absolute value of the average relative error was less than 16.905%.The prediction accuracy of each biomass model ranged from 93.7% to 95.6%.2)The determination coefficient of the optimal independent basic model,the compatibility model with DBH,and tree height as independent variables was from 0.767 to 0.985,the RMSE was less than 11.636 kg,the total relative error was less than 1.893%,and the absolute value of the average relative error was less than 16.823%.The prediction accuracy of each biomass model was 93.7%~97.9%.3)All models showed a good fitting effect,no significant systematic deviation,strong degree of fit with the sample points,and high prediction accuracy.4)All models could well predict the biomass of Larix gmelinii,var.principis-rupprechtii and the binary model was better than the unary model.The compatibility model could effectively solve the problem of incompatibility between the total aboveground biomass and the components of each organ,and the algebraic and control methods were better than the other two methods.Considering the modeling efficiency and accuracy,it is recommended to use the binary compatible biomass model of algebra and control method as the biomass prediction model of larch plantation in this area.

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

2024,(6):  140-145.  doi:10.13466/j.cnki.lczyyj.2024.06.016

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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.

Research Briefing

Analysis of the Development Path of Plain Forest Management in the Beijing-Tianjin-Hebei region

WANG Hai

2024,(6):  146-152.  doi:10.13466/j.cnki.lczyyj.2024.06.017

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Plain forests serve as vital guarantees of ecological integrity within cities.This thesis explores the plain forest management development paths in the Beijing-Tianjin-Hebei regions,which can help consolidate achievements of forest management,broaden management and development paths,cultivate a stable,healthy,high-quality,efficient and multifunctional plain forest ecosystem and advance the meticulous realization of the Beijing-Tianjin-Hebei region coordinated development initiative and the cultivation of ecological civilization.This thesis analyzes the current situations and achievements of plain forest management in the Beijing-Tianjin-Hebei region,identifying several key challenges such as unstable forest systems,the need for improved management,and the necessity for enhanced operational technologies.It suggests a number of specific management measures,including optimizing forest structures,emphasizing soil management,employing ecological support measures,and encouraging natural regeneration.Furthermore,it recommends precision in strategic management orientation,enhancement of managerial standards,and advancements in technology application and personnel training,all aimed at elevating the developmental level of forest management in the Beijing-Tianjin-Hebei region.

The Defining Idea of Planning Base Data of the New Round of Forest Land Protection and Utilization Planning: A Case Study of Yanqing District of Beijing

ZHOU Weicai, WANG Hongchun, SU La, SUN Honghong, ZHANG Luyao, JIANG Yuhao, WANG Duan

2024,(6):  153-158.  doi:10.13466/j.cnki.lczyyj.2024.06.018

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The new round of forest land protection and utilization planning requires taking the results of the third national land survey as the unified base map,and that the territorial spatial planning together with the three zones delineated by three lines for land use as the basis,to scientifically and reasonably clarify the management boundary of forest land.Taking Yanqing District of Beijing as an example,this study establishes a methodology for defining base data for forest land protection and utilization planning in accordance with policy regulations,following the technical requirements,uniting multi-source data,and defining the forest land boundaries.Multi-source forest-related vector data were collected,and then preprocessed through spatial overlay analysis,hierarchical layer union and linking attributes by using the ArcGIS platform.After that,land use is analyzed,screened,and defined one by one according to different attributes in the joint database.Boundaries are then processed and fragmented plots are merged alternately to define the management boundaries of planned forest land and supplementary forest land.Finally,the new base map for forest land protection and utilization planning in Yanqing District is obtained.This methodology provides a valuable reference for defining base data in forest land planning in other regions.