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    Advances in Research on Plant Carbon Sequestration Capacity Across Different Vegetation Zones in China
    LIU Tong, BAO Shouchen, YUAN Tao
    Forest and Grassland Resources Research    2024, 0 (4): 12-20.   DOI: 10.13466/j.cnki.lczyyj.2024.04.002
    Abstract175)   HTML6)    PDF (993KB)(65)       Save

    Plants serve as the primary carbon sink carriers in terrestrial ecosystems and are of great significance for maintaining ecological balance.Systematic analysis of the measurement methods of the whole plant carbon sink(plot inventory method,assimilation method,remote sensing estimation method,microclimate method)and its advantages and disadvantages,as well as scope of application.Using the widely adopted assimilation method,compared and analyzed the carbon sink capacity of plants in six vegetation zonesin China,considering plant growth forms,ecological habits,and environmental factors.The results revealedsignificant variations in the carbon sink capacity of plants across different vegetation zones.In the temperate coniferous broad-leaved mixed forest area and the warm temperate deciduous broad-leaved forest zones,trees exhibited slightly higher carbon sink capacities than shrubs.Conversely,in the tropical monsoon rain forest and temperate grassland zones,shrubs demonstrated significantly higher carbon sink capacities than trees.In addition,there are significant differences in carbon sink capacity between coniferous and broadleaved trees.Aquatic and ground cover plants exhibit substantial potential for carbon sink,and have the possibility of further development.The study also indicated that carbon sink measurement methods and environmental factors significantly influence the evaluation ofplant carbon sink capacity.Based on the findings,it is recommended to establish a unified evaluation standard for carbon sink capacity,broadenthe scope of plant species and research coverage,and develop a more comprehensive framework for evaluating and enhancing carbon sink capacities across vegetation zones.Such efforts canprovide scientific guidance for ecological restoration,landscape tree species selection,andachieving carbon neutrality targets.

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    Survey and Analysis of Bird Diversity in The Erguna Wetland,Inner Mongolia
    WANG Qiyuan, JI Penghao, XUE Lei, GAO Runhong
    Forest and Grassland Resources Research    2024, 0 (5): 66-76.   DOI: 10.13466/j.cnki.lczyyj.2024.05.008
    Abstract170)   HTML4)    PDF (1598KB)(141)       Save

    In the spring,autumn and winter of 2022,a survey of bird diversity was carried out in Erguna wetland by using line transect method and site sampling method. 1)A total of 14 139 birds and 115 species belonging to 19 orders and 40 families were recorded. 2)There were 78 species of Palaearctic,Holoearctic and Northeast type,accounting for 67.83% of the total species. 3)In terms of bird fauna,Palearctic species and widespread species are the main species,and in terms of resident types,summer migratory birds,resident birds and travelers are absolutely superior. 4)There are 39 species of protected birds,including 6 species under national priority protection,26 species under national secondary protection,24 species of birds listed in CITES Appendix II and 2 species listed in CITES Appendix I. 5)In terms of bird ecological types,songbirds had the largest number of species(57 species),but a small number(575),while swimming birds and wading birds had a total of 35 species(13 468 species),accounting for 95.25% of the total number of birds in this survey. 6)There were seasonal dynamic differences in bird community composition,with the highest Shannon-Wiener diversity index and Pielou evenness index in autumn and the lowest in spring,and the lower Sorensen index among different seasons. 7)The composition of bird community was greatly affected by habitat types. The Shannon-Wiener diversity index and Pielou evenness index were the highest in forest shrub,the lowest in farmland,and the Sorensen index among different habitat types was low. The results of the survey reflect the status quo of bird resources in Erguna wetland,and can provide a reference for the management and protection of birds in the reserve.

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    Progress on Hyperspectral Remote Sensing Inversion Method for Vegetation Chlorophyll Content
    MA Rongfei, CHEN Yan, HOU Peng, REN Xiaoqi
    Forest and Grassland Resources Research    2024, 0 (5): 166-178.   DOI: 10.13466/j.cnki.lczyyj.2024.05.018
    Abstract167)   HTML2)    PDF (1158KB)(61)       Save

    Chlorophyll content is crucial for the photosynthetic capacity of plants and serves as an important indicator of vegetation growth status.Accurate measurement of chlorophyll content is essential for assessing plant health,optimizing fertilizer management,and evaluating crop yields.However,traditional measurement methods are time-consuming and labor-intensive.In recent years,hyperspectral remote sensing technology has been rapidly developing as a cutting-edge technology,and using hyperspectral data for estimating chlorophyll content has become an important approach.This paper provides a comprehensively review of the development of typical airborne star-borne hyperspectral imagers both domestically and internationally.By analyzing relevant literature,the paper analyzes the advantages and limitations of three methods,namely,spectral vegetation index construction,hyperspectral red-edge positional parameters and machine learning algorithms,in inverting chlorophyll from hyperspectral data,and points out the shortcomings of the current development of hyperspectral remote sensing and the research on quantitative inversion of vegetation chlorophyll,and proposes the future research direction.

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    The Development Experiences of the Flower Industry in the Netherlands and Its Implications for China
    XIANG Yue, LIU Ping
    Forest and Grassland Resources Research    2024, 0 (4): 164-170.   DOI: 10.13466/j.cnki.lczyyj.2024.04.018
    Abstract138)   HTML1)    PDF (1153KB)(104)       Save

    The flower industry,as a burgeoning sector that contributes to China's rural revitalization efforts,plays an important role in promoting economic prosperity,enhancing social well-being,and strengthening the construction of ecological civilization.It is currently at a key turning point,transitioning from high-speed development to high-quality development,while facing major challenges such as an incomplete industrial chain,weak quality supervision,low levels of scientific and technological innovation,and insufficient policy support.The Netherlands,as a global leader in the flower industry,offers advanced development practices and successful experiences that are highly relevant for promoting the sustainable growth of China's flower industry.This paper summarizes the current situation and successful experience of the Netherlands flower industry,and proposes development strategies for China's flower industry.By accelerating the optimization and upgrading of the flower industry,improving the quality management system,strengthening scientific and technological support,and enhancing government support,China's flower industry can achieve high-quality,sustainable development.

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    Research on Forest Loss Assessment Based on Multi-Source Datasets
    CAI Yingli, ZHU Hongge
    Forest and Grassland Resources Research    2024, 0 (6): 27-34.   DOI: 10.13466/j.cnki.lczyyj.2024.06.004
    Abstract135)   HTML4)    PDF (948KB)(42)       Save

    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.

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    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
    Forest and Grassland Resources Research    2024, 0 (6): 1-9.   DOI: 10.13466/j.cnki.lczyyj.2024.06.001
    Abstract123)   HTML16)    PDF (2420KB)(75)       Save

    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.

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    The Mechanism for Forest Ecological Benefit Compensation in China
    SUN Hongru, WU Jianwei, LI Chenchen, YU Liyao, LIU Wei, ZHANG Hongwei
    Forest and Grassland Resources Research    2024, 0 (6): 10-18.   DOI: 10.13466/j.cnki.lczyyj.2024.06.002
    Abstract123)   HTML9)    PDF (1010KB)(67)       Save

    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.

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    Carbon Emissions and Carbon Sequestration Capacity in Chinese Provinces from 1997 to 2021
    ZHANG Yuxing, ZHANG Zhe, YIN Jingping, PU Ying
    Forest and Grassland Resources Research    2024, 0 (4): 1-11.   DOI: 10.13466/j.cnki.lczyyj.2024.04.001
    Abstract122)   HTML8)    PDF (2797KB)(43)       Save

    This study conducts an analysis of carbon emissions and the carbon sequestration capacity of forest vegetation across 30 provinces(excluding Hong Kong,Macao,Taiwan,and Xizang)in China from 1997 to 2021.1)Most provinces are still experiencing an increasing trend in carbon emissions,with only 8 provinces nearing or achieving the carbon peak goal by 2021.2)China has initially achieved preliminary success in carbon emission reduction,with technological advancements playing a significant role.Carbon intensity has shown a year-on-year decline,with 18 provinces reducing their carbon intensity by more than 65% compared to 2005,typically in economically advanced regions.3)There is a significant correlation between carbon emissions and GDP.In 2021,the five provinces with the lowest carbon intensity accounted for only 5.11% of national carbon emissions but contributed 16.25% to the national GDP,whereas the 5 provinces with the highest carbon intensity contributed 33.51% to national carbon emissions but only 6.98% to the national GDP.4)As for 2021,energy consumption in China is still dominated by coal and petroleum,accounting for 91% of energy consumption.The impact of the incremental energy consumption on GDP growth exhibits a lag effect;however,as the economic output efficiency per unit of energy consumption significantly improves,such lag effect is gradually diminishing.5)The annual carbon fixation ability of national forest vegetation has continuously increased.In 2021,the national forest carbon sink reached 451 million tons,absorbing the equivalent of 1.655 billion tons of CO2,with an annual average increase rate of 4.02% from 2017 to 2021.However,it is significantly lower than the annual average growth rate of carbon emissions,which is at 10.7%.6)The carbon sequestration capacity of forests in each province has improved,yet for most provinces,forest carbon sequestration accounts for less than 10% of their annual emissions.Jiangxi,Guangxi,Jilin,and Hunan exceed 30%;Yunnan and Sichuan are notably efficient,with their forest carbon sequestration are 2.16 times and 1.13 times of their carbon emissions.7)In 2021,the carbon sequestration of forest vegetation accounted for 12.63% of the carbon emissions of that year in China,and the terrestrial ecosystems accounted for 23% of the annual emissions.Although the growth rate of carbon emissions continues to exceed that of the carbon absorption capacity of forest vegetation,terrestrial ecosystems,primarily forest ecosystems,remain crucial for achieving carbon neutrality in China.Protecting and enhancing the productivity of forest ecosystems is crucial for further increasing carbon sink capacity and achieving carbon neutrality goal after the carbon reduction potential approaches its limit.

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    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
    Forest and Grassland Resources Research    2024, 0 (6): 35-44.   DOI: 10.13466/j.cnki.lczyyj.2024.06.005
    Abstract109)   HTML5)    PDF (1386KB)(217)       Save

    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.

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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
    Abstract105)   HTML3)    PDF (1335KB)(51)       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.

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    Analyzing the Impact of Sample Structure on Fitting Results of Forestry Mathematical Models
    ZENG Weisheng
    Forest and Grassland Resources Research    2024, 0 (6): 45-53.   DOI: 10.13466/j.cnki.lczyyj.2024.06.006
    Abstract101)   HTML1)    PDF (1061KB)(39)       Save

    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.

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    Construction of Fuel Load Models for Different Tree Vegetation Types in Sichuan Province
    CHEN Haoquan, WANG Hongrong, ZHANG Wen, DONG Chen, MIN Zhiqiang
    Forest and Grassland Resources Research    2024, 0 (6): 117-128.   DOI: 10.13466/j.cnki.lczyyj.2024.06.014
    Abstract101)   HTML2)    PDF (1686KB)(33)       Save

    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.

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    Evaluation and Analysis of Influencing Factors of Sustainable Development of Forest Based Health and Wellness Industry in Beijing-Tianjin-Hebei Region
    ZHOU Xuanying, ZHANG Mengwan, MA Ning
    Forest and Grassland Resources Research    2024, 0 (5): 157-165.   DOI: 10.13466/j.cnki.lczyyj.2024.05.017
    Abstract101)   HTML2)    PDF (1306KB)(113)       Save

    The forest based health and wellness industry is increasingly vital to advancing ecological civilization and promoting the Healthy China.However,the sustainable development of forest recreation industry faces challenges in regional coordination,resource protection and infrastructure development.This study uses the Beijing-Tianjin-Hebei region as a case study to construct a sustainable development indicator system for the forest-based health and wellness industry,selecting 21 evaluation indicators across four dimensions:environment,supply,service,and support. The coupling coordination degree method and the grey correlation degree method were applied to evaluate the sustainable development level and identify key influencing factors for the forest based health and wellness industry in the Beijing-Tianjin-Hebei region from 2017 to 2021.Results show that the sustainable development level of the forest-based wellness industry in the region initially increased but later declined from 2017 to 2021,while overall remaining at a favorable level.The supply sustainability level showed a steady increase,while values in other dimensions exhibited fluctuating trends of rise and fall.Key indicators include number of good air days,relative humidity,acoustic environment quality,sewage treatment rate,average temperature,and the medical care price index.The findings provide data support for the sustainable development of the forest based health industry and regional coordination in the Beijing-Tianjin-Hebei region,contributing to building China into a country with a good environment.

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    Spatiotemporal and Sustainability Analysis of the Ecological Environment Quality in the Ulansuhai Basin Area
    WANG Haoqiong, HU Yi, WANG Haochen, SHU Yong, LUO Weijian
    Forest and Grassland Resources Research    2024, 0 (6): 64-72.   DOI: 10.13466/j.cnki.lczyyj.2024.06.008
    Abstract100)   HTML5)    PDF (3836KB)(29)       Save

    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.

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    Regional Differences in Forest Fire Risk and Management Efficiency in China
    NING Wei, DENG Weihui, FAN Juanjuan, ZHANG Yuxing
    Forest and Grassland Resources Research    2024, 0 (6): 19-26.   DOI: 10.13466/j.cnki.lczyyj.2024.06.003
    Abstract99)   HTML7)    PDF (1071KB)(94)       Save

    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.

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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
    Abstract96)   HTML1)    PDF (2144KB)(15)       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.

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    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
    Forest and Grassland Resources Research    2024, 0 (6): 54-63.   DOI: 10.13466/j.cnki.lczyyj.2024.06.007
    Abstract94)   HTML2)    PDF (3206KB)(44)       Save

    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.

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    The Ecosystem Service Value and Changes of in the Mu Us Sandy Land
    WANG Tingqin, CHEN Zimeng, CHENG Linsong, ZHAO Zheng, XIA Jianxin
    Forest and Grassland Resources Research    2024, 0 (4): 113-125.   DOI: 10.13466/j.cnki.lczyyj.2024.04.013
    Abstract94)   HTML2)    PDF (1426KB)(33)       Save

    The governance of the Mu Us Sandy Land is one of the key components of the shelterbelt program in northeast,north,and northwest China.Utilizing the ecosystem service value equivalent table per unit area and the sensitivity coefficient model,this study evaluates and analyzes the dynamic changes and characteristics between land use and ecosystem service value in the Mu Us Sandy Land.The research reveals the response of ecosystem service values to land-use changes.The results show that:From 2000 to 2020,there was a significantly changed in the land use structure of the Mu Us Desert,primarily characterized by the continuous decrease of grassland and water areas with negative dynamics and the corresponding increase in construction land area,which is a key factor leading to the decrease in total ecological service value.Apart from hydrological regulation and food production,the value generated by various ecological services has shown varying degrees of decline.Particularly,for the Mu Us Sandy Land,the contribution of grasslands to the overall ecosystem cannot be overlooked.

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    The Impact of Digital Economy on Forestry Green Total Factor Productivity
    MEI Yuntian, WANG Wenqi, ZOU Quancheng, CHAO Bixiao, CHEN Jiayu, FENG Tianchu, LI Xiaoliang
    Forest and Grassland Resources Research    2024, 0 (5): 1-10.   DOI: 10.13466/j.cnki.lczyyj.2024.05.001
    Abstract93)   HTML11)    PDF (926KB)(46)       Save

    The integration of digitalization and ecological practices is an important strategic choice for forming new quality productivity in forestry.This article is based on the perspective of achieving the country’s goals of peak carbon dioxide emissions by 2030 and carbon neutrality by 2060,and green development of the forestry industry.Based on panel data from 2011 to 2020 among Chinese provinces,the study assesses the comprehensive impact of the digital economy on Forestry Green Total Factor Productivity(FGTFP)across different regions.Panel regression and threshold effect models were used to analyze the impact and mechanism of the digital economy on FGTFP.The findings indicate a significant enhancement of FGTFP attributable to the digital economy,particularly pronounced in the central and eastern provinces and regions benefiting from robust financial backing for forestry initiatives.Mechanism analysis shows that the digital economy effectively improves FGTFP by promoting regional forestry technology innovation.In the threshold test,the development level of the Internet has a triple threshold.The digital economy has a significant nonlinear impact on improving regional FGTFP through different levels of Internet development.This impact shows a pattern of initial increase followed by a decline in marginal returns.Based on the research results,it is further suggested that the government should actively promote the deep integration of the digital economy and the forestry industry,improve the level of forestry technology innovation,increase financial support for forestry,guide local forestry to carry out digital reform according to local conditions,pay attention to the efficiency of forestry digital element allocation,and improve the synergy level between the digital economy and the green development of forestry.

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    Analysis of the Development Path of Plain Forest Management in the Beijing-Tianjin-Hebei region
    WANG Hai
    Forest and Grassland Resources Research    2024, 0 (6): 146-152.   DOI: 10.13466/j.cnki.lczyyj.2024.06.017
    Abstract91)   HTML10)    PDF (932KB)(42)       Save

    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.

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