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林业研究（英文版）
林业研究（英文版）

杨传平

季刊

1007-662X

jfr@mail.nefu.edu.cn

0451-82191144，82190464

150040

哈尔滨市动力区和兴路26号（林大123信箱）

林业研究（英文版）/Journal Journal of Forestry ResearchCSCDCSTPCD北大核心SCI
查看更多>>《林业研究》（英文版）(Journal of Forestry Research)是中国生态学学会与东北林业大学主办、国家教育部主管的林业学术期刊。协办单位有吉林省林科院、辽宁省林科院。创办于1990年，季刊，大16开，国内外公开发行。 1.办刊宗旨与报道范围 　　本刊宗旨是贯彻党的科技路线和“双百”方针，坚持科技是第一生产力的原则，宣传和报道国内外森林生态学和森林资源学基础研究与应用研究方面的学术成果，为活跃学术空气、促进国际学术交流和科教兴国服务。 　　主要刊登：森林经营、林木育种、造林、森林生态、森林土壤、森林保护、野生动物生态与管理、野生动物保护与利用、生物科学、木材科学、木材加工工艺、森林采运技术等方面的原始论文。同时，也刊登研究综述、研究简报、会议消息、书评方面的稿件。 2．国际化程度 　　向国际化发展是本刊既定的目标。经过辛勤的耕耘和不懈的努力，本刊在国内外的知名度和影响不断提高。 （1）国际文献数据库收录 本刊现已入编美国生物学文摘（BA）、国际生物学文献文摘（CAB Abstracts）、俄罗斯文摘杂志（Abstract Journal of VINITI(AJ)）等17个国际性重要数据库，及中国科学引文数据库（CSCD）等十几个国内重要数据库，并成为中国科学引文数据库（CSCD）核心库来源期刊、中国科技论文统计源期刊（中国科技核心期刊），中国学术期刊综合评价数据库来源期刊、中国科技期刊统计源期刊及《中国学术期刊（光盘版）》全文收录期刊。加入这些数据库，标志着本刊已发展成为一种英文核心学术期刊，在国内外具有较高的影响力，在国际学术交流方面起着重要作用。 （2）国际化编委会 目前本刊编委会成员36名，其中有海外编委17名, 来自12个国家。 （3）国际合作出版 2007年《林业研究》与国际著名出版商—Springer 公司开展国际出版合作。本刊已获得网络版刊号--ISSN1993-0607（Online),每期都直接上传Http:// 国际网络平台。这标志着本刊正式登上国际舞台，走上国际化、信息化、网络化发展道路，扩大了国际影响，实现了真正意义上的国际化。《林业研究》（英文版） 在国际知名电子期刊网（http://）上全文下载次数逐年急剧上升，2007年全年为5,300次，2008年全年为10,023次, 2009年全年将突破35,000次，2010年为28,000次，证明该刊的国际检索利用率在不断提高。另外，本刊还实现了优先出版（Online first）。据ISI Web of Knowledge 统计显示：2008年《林业研究》（英文版） 2006-2007年文章被引用的次数为 58次，国际影响因子达到0.4。 （4）稿件组成 《林业研究》（英文）创刊以来，一直受到广大作者及读者的关心与厚爱。经过不懈的努力，本刊逐渐发展成为一种在国内外具有一定影响的英文林业学术期刊，在宣传报道我国林业研究成果和促进国际学术交流方面发挥着重要作用。本刊以出精品为目标，注重优秀稿件和基金资助课题稿件的征集和选取，刊登的论文绝大部分具有学科前沿水平，国家及省部级基金课题的论文比例达60%以上。国内来稿覆盖全国各省市自治区，国外稿件覆盖美国、日本、印度、瑞典、尼日利亚、澳大利亚等40多个国家。 3. 编辑队伍 　《林业研究》编辑部长期以来十分重视编辑人才的培养，鼓励并创造条件培养编辑人员的实践能力、自我完善能力、英语写作能力、信息捕捉能力和对稿荐的驾御能力。目前编辑部已具备一支结构合理、素质高的编辑队伍。有名誉主编 1人，兼职主编1人，兼职副主编3人，专职副主编1人，专职编辑3人，语言编辑1人（兼职）。专职编辑人员中，编审1名、副编审1名、编辑2名，全部为林业专业出身科技人员。编辑人员注重自身的修养和自我提高，除了经常参加一些编辑和专业方面的研讨会之外，编辑部还经常开展“稿件修改研讨会”，针对稿件容易出现英文语法错误如何修改进行讨论，组织学习国外专家改过的稿件。 4．期刊信息化水平 2004年本刊建立有自己独立网站。本网站同时具备中文和英文2套版本，可同时以满足国内和国外访问者的需要，具备期刊介绍、文章检索（包括本期和过刊）、稿件查询、订阅指南、投稿须知、审稿标准、审稿人数据库等功能。2010年采用” Editorial Manager”国际通用在线投审稿系统，实现在线投稿审稿。投稿者请登录并注册，然后按系统提示逐步完成投稿。
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    Carbon dioxide enrichment affected flower numbers transiently and increased successful post-pollination development stably but without altering final acorn production in mature pedunculate oak(Quercus robur L.)

    Ryan McCloryRichard H.EllisMartin LukacJo Clark...
    1-12页
    查看更多>>摘要：Acorn production in oak(Quercus spp.)shows considerable inter-annual variation,known as masting,which provides a natural defence against seed predators but a highly-variable supply of acorns for uses such as in commercial tree planting each year.Anthropogenic emissions of greenhouse gases have been very widely reported to influence plant growth and seed or fruit size and quantity via the'fertilisation effect'that leads to enhanced photosynthesis.To examine if acorn production in mature woodland communities will be affected by further increase in CO2,the contents of litter traps from a Free Air Carbon Enrichment(FACE)experiment in deciduous woodland in central England were analysed for numbers of flowers and acorns of pedunculate oak(Que rcus robur L.)at different stages of development and their predation levels under ambient and elevated CO2 concentrations.Inter-annual variation in acorn numbers was considerable and cyclical between 2015 and 2021,with the greatest numbers of mature acorns in 2015,2017 and 2020 but almost none in 2018.The numbers of flowers,enlarged cups,immature acorns,empty acorn cups,and galls in the litter traps also varied amongst years;comparatively high numbers of enlarged cups were recorded in 2018,suggesting Q.robur at this site is a fruit maturation masting species(i.e.,the extent of abortion of pollinated flowers during acorn development affects mature acorn numbers greatly).Raising the atmospheric CO2 concentration by 150 μL L-1,from early 2017,increased the numbers of immature acorns,and all acorn evidence(empty cups+immature acorns+mature acorns)detected in the litter traps compared to ambient controls by 2021,but did not consistently affect the numbers of flowers,enlarged cups,empty cups,or mature acorns.The number of flowers in the elevated CO2 plots'litter traps was greater in 2018 than 2017,one year after CO2 enrichment began,whereas numbers declined in ambient plots.Enrichment with CO2 also increased the number of oak knopper galls(Andricus quercuscalicis Burgsdorf).We conclude that elevated CO2 increased the occurrence of acorns developing from flowers,but the putative benefit to mature acorn numbers may have been hidden by excessive pre-and/or post-dispersal predation.There was no evidence that elevated CO2 altered masting behaviour.
      原文链接:
    • 万方数据

    Exploring impacts of COVID-19 on spatial and temporal patterns of visitors to Canadian Rocky Mountain National Parks from social media big data

    Dehui Christina GengAmy LiJieyu ZhangHowie W.Harshaw...
    13-33页
    查看更多>>摘要：COVID-19 posed challenges for global tour-ism management.Changes in visitor temporal and spatial patterns and their associated determinants pre-and peri-pandemic in Canadian Rocky Mountain National Parks are analyzed.Data was collected through social media pro-gramming and analyzed using spatiotemporal analysis and a geographically weighted regression(GWR)model.Results highlight that COVID-19 significantly changed park visita-tion patterns.Visitors tended to explore more remote areas peri-pandemic.The GWR model also indicated distance to nearby trails was a significant influence on visitor density.Our results indicate that the pandemic influenced tourism temporal and spatial imbalance.This research presents a novel approach using combined social media big data which can be extended to the field of tourism management,and has important implications to manage visitor patterns and to allocate resources efficiently to satisfy multiple objectives of park management.
      原文链接:
    • 万方数据
    • 维普

    Pinus sylvestris and Picea abies canopy effects on deposition of air pollutants

    Valentinas ?erniauskasIveta Varnagiryt?-Kaba?inskien?Valda Araminien?Vidas Stak?nas...
    34-46页
    查看更多>>摘要：Tree canopies influence atmospheric pollutant depositions depending on type,ecosystem characteristics,and local climatic conditions.This study investigated the impact of Pinus sylvestris L.and Picea abies(L.)H.Karst.,and a mixture of both,on the chemical composition of pre-cipitation.Three permanent plots within the ICP forest levelⅡ monitoring network in Lithuania were selected to illustrate typical hemiboreal coniferous forests.The study analysed(1)the concentrations of NO2,NH3 and SO2 in the ambi-ent air;(2)the concentrations of SO42-,NO3-,NH4+,Na+,K+,Ca2+and Cl-in throughfall beneath canopies and in precipitation collected in an adjacent field,and(3)S and total N,Na+,K+,Ca2+and Cl-depositions in throughfall and precipitation over 2006-2022.Results show a signifi-cant decrease in SO2 emissions in the ambient air;NO2 and NH3 emissions also decreased.The canopies reduced the acidity of throughfall,although they led to notably higher concentrations of SO42-,NO3-,Na+,and particularly K+.During the study,low variability in NO3-deposition and a decrease in NH4+deposition occurred.Deposition loads increased by 20-30％when precipitation passed through the canopy.The cumulative deposition of S,Cl,Na,K,Ca,and N was greater under P.abies than under P.sylvestris.How-ever,K deposition in throughfall was considerably lower under P.sylvestris compared to the P.abies or mixed stand.Throughfall S depositions declined across all three conifer-ous plots.Overall,there was no specific effect of tree species on throughfall chemistry.
      原文链接:
    • 万方数据
    • 维普

    Climate warming is significantly influenced by rising summer maximum temperatures:insights from tree-ring evidence of the Western Tianshan Mountains,China

    Meng RenYu LiuQiufang CaiQiang Li...
    47-59页
    查看更多>>摘要：As one of the regions most affected by global cli-mate warming,the Tianshan mountains has experienced sev-eral ecological crises,including retreating glaciers and water deficits.Climate warming in these mountains is considered mainly to be caused by increases in minimum temperatures and winter temperatures,while the influence of maximum temperatures is unclear.In this study,a 300-year tree-ring chronology developed from the Western Tianshan Moun-tains was used to reconstruct the summer(June-August)maximum temperature(Tmax6-8)variations from 1718 to 2017.The reconstruction explained 53.1％of the variance in the observed Tmax6-8-Over the past 300 years,the Tmax6-8 reconstruction showed clear interannual and decadal vari-abilities.There was a significant warming trend(0.18 ℃/decade)after the 1950s,which was close to the increasing rates of the minimum and mean temperatures.The increase in maximum temperature was also present over the whole Tianshan mountains and its impact on climate warming has increased.The Tmax6-8 variations in the Western Tianshan mountains were influenced by frequent volcanic eruptions combined with the influence of solar activity and the sum-mer North Atlantic Oscillation.This study reveals that cli-mate warming is significantly influenced by the increase in maximum temperatures and clarifies possible driving mech-anisms of temperature variations in the Western Tianshan mountains which should aid climate predictions.
      原文链接:
    • 万方数据

    Degree of shade tolerance shapes seasonality of chlorophyll,nitrogen and phosphorus levels of trees and herbs in a temperate deciduous forest

    Jiajia ZengFan LiuYuan ZhuJiayi Li...
    60-72页
    查看更多>>摘要：Forest productivity is closely linked to seasonal variations and vertical differentiation in leaf traits.How-ever,leaf structural and chemical traits variation among co-existing species,and plant functional types within the canopy are poorly quantified.In this study,the seasonal-ity of leaf chlorophyll,nitrogen(N),and phosphorus(P)were quantified vertically along the canopy of four major tree species and two types of herbs in a temperate deciduous forest.The role of shade tolerance in shaping the seasonal variation and vertical differentiation was examined.Dur-ing the entire season,chlorophyll content showed a distinct asymmetric unimodal pattern for all species,with greater chlorophyll levels in autumn than in spring,and the tim-ing of peak chlorophyll per leaf area gradually decreased as shade tolerance increased.Chlorophyll a:b ratios gradually decreased with increasing shade tolerance.Leaf N and P contents sharply declined during leaf expansion,remained steady in the mature stage and decreased again during leaf senescence.Over the seasons,the lower canopy layer had significantly higher chlorophyll per leaf mass but not chlo-rophyll per leaf area than the upper canopy layer regardless of degree of shade tolerance.However,N and P per leaf area of intermediate shade-tolerant and fully shade-tolerant tree species were significantly higher in the upper canopy than in the lower.Seasonal variations in N:P ratios suggest changes in N or P limitation.These findings indicate that shade tolerance is a key feature shaping inter-specific differ-ences in leaf chlorophyll,N,and P contents as well as their seasonality in temperate deciduous forests,which have sig-nificant implications for modeling leaf photosynthesis and ecosystem production.
      原文链接:
    • 万方数据

    Assessment of large-scale multiple forest disturbance susceptibilities with AutoML framework:an Izmir Regional Forest Directorate case

    Remzi EkerKamber Can Alki?Abdurrahim AydinYu Lei...
    73-88页
    查看更多>>摘要：Disturbances such as forest fires,intense winds,and insect damage exert strong impacts on forest ecosys-tems by shaping their structure and growth dynamics,with contributions from climate change.Consequently,there is a need for reliable and operational methods to monitor and map these disturbances for the development of suitable management strategies.While susceptibility assessment using machine learning methods has increased,most stud-ies have focused on a single disturbance.Moreover,there has been limited exploration of the use of"Automated Machine Learning(AutoML)"in the literature.In this study,suscep-tibility assessment for multiple forest disturbances(fires,insect damage,and wind damage)was conducted using the PyCaret AutoML framework in the Izmir Regional Forest Directorate(RFD)in Turkey.The AutoML framework com-pared 14 machine learning algorithms and ranked the best models based on AUC(area under the curve)values.The extra tree classifier(ET)algorithm was selected for mod-eling the susceptibility of each disturbance due to its good performance(AUC values＞0.98).The study evaluated sus-ceptibilities for both individual and multiple disturbances,creating a total of four susceptibility maps using fifteen driving factors in the assessment.According to the results,82.5％of forested areas in the Izmir RFD are susceptible to multiple disturbances at high and very high levels.Addition-ally,a potential forest disturbances map was created,reveal-ing that 15.6％of forested areas in the Izmir RFD may expe-rience no damage from the disturbances considered,while 54.2％could face damage from all three disturbances.The SHAP(Shapley Additive exPlanations)methodology was applied to evaluate the importance of features on prediction and the nonlinear relationship between explanatory features and susceptibility to disturbance.
      原文链接:
    • 万方数据

    Decline in tree-ring growth of Picea mongolica and its intra-annual eco-physiological responses to drought and CO2 enrichment in semi-arid China

    Xiaomin ZengPing NiXiaohong LiuWenzhi Wang...
    105-117页
    查看更多>>摘要：Episodes of drought-induced decline in tree growth and mortality are becoming more frequent as a result of climate warming and enhanced water stress in semi-arid areas.However,the ecophysiological mechanisms under-lying the impact of drought on tree growth remains unre-solved.In this study,earlywood and latewood tree-ring growth,δ13C,and δ18O chronologies of Picea mongolica from 1900 to 2013 were developed to clarify the intra-and inter-annual tree-ring growth responses to increasingly fre-quent droughts.The results indicate that annual basal area increment residuals(BAIres),which removed tree age and size effects,have significantly decreased since 1960.How-ever,the decreasing trend of earlywood BAIres was higher than that of latewood.Climate response analysis suggests that the dominant parameters for earlywood and latewood proxies(BAIres,δ13C and δ18O)were drought-related climate variables(Palmer drought severity index,temperature,rela-tive humidity,and vapor pressure deficit).The most signifi-cant period of earlywood and latewood proxies'responses to climate variables were focused on June-July and July-August,respectively.BAIres,and δ13C were significantly affected by temperature and moisture conditions,whereasδ18O was slightly affected.Decreasing stomatal conduct-ance due to drought outweighed the influence of increasing CO2 on intrinsic water use efficiency(iWUE),and ultimately led to a decline in BAIres.Compared to latewood,the faster decreasing BAIres and smaller increasing iWUE of early-wood suggested trees were more vulnerable to water stress in the early growing season.Our study provides insights into the inter-and intra-annual mechanisms of tree-ring growth in semi-arid regions under rising CO2 and climate change.
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    • 万方数据

    Assessing trends in wildland-urban interface fire research through text mining:a comprehensive analysis of published literature

    Hafsae LamsafAsmae LamsafMounir A.KerroumMiguel Almeida...
    118-130页
    查看更多>>摘要：Research on fires at the wildland-urban inter-face(WUI)has generated significant insights and advance-ments across various fields of study.Environmental,agri-culture,and social sciences have played prominent roles in understanding the impacts of fires in the environment,in protecting communities,and addressing management challenges.This study aimed to create a database using a text mining technique for global researchers interested in WUI-projects and highlighting the interest of countries in this field.Author's-Keywords analysis emphasized the dominance of fire science-related terms,especially related to WUI,and identified keyword clusters related to the WUI fire-risk-assessment-system—"exposure","danger",and"vulnerability"within wildfire research.Trends over the past decade showcase shifting research interests with a growing focus on WUI fires,while regional variations highlighted that the"exposure"keyword cluster received greater atten-tion in the southern Europe and South America.However,vulnerability keywords have relatively a lower representation across all regions.The analysis underscores the interdisci-plinary nature of WUI research and emphasizes the need for targeted approaches to address the unique challenges of the wildland-urban interface.Overall,this study provides valu-able insights for researchers and serves as a foundation for further collaboration in this field through the understanding of the trends over recent years and in different regions.
      原文链接:
    • 万方数据

    An enhanced method for predicting and analysing forest fires using an attention-based CNN model

    Shaifali BhattUsha ChouhanYu Lei
    131-143页
    查看更多>>摘要：Prediction,prevention,and control of forest fires are crucial on at all scales.Developing effective fire detec-tion systems can aid in their control.This study proposes a novel CNN(convolutional neural network)using an atten-tion blocks module which combines an attention module with numerous input layers to enhance the performance of neural networks.The suggested model focuses on predict-ing the damage affected/burned areas due to possible wild-fires and evaluating the multilateral interactions between the pertinent factors.The results show the impacts of CNN using attention blocks for feature extraction and to better understand how ecosystems are affected by meteorologi-cal factors.For selected meteorological data,RMSE 12.08 and MAE 7.45 values provide higher predictive power for selecting relevant and necessary features to provide optimal performance with less operational and computational costs.These findings show that the suggested strategy is reliable and effective for planning and managing fire-prone regions as well as for predicting forest fire damage.
      原文链接:
    • 万方数据
    • 维普

    Assessing forest cover changes and fragmentation in the Himalayan temperate region:implications for forest conservation and management

    Kaleem MehmoodShoaib Ahmad AneesAkhtar RehmanAqil Tariq...
    144-157页
    查看更多>>摘要：This study comprehensively assessed long-term vegetation changes and forest fragmentation dynamics in the Himalayan temperate region of Pakistan from 1989 to 2019.Four satellite images,including Landsat-5 TM and Landsat-8 Operational Land Imager(OLI),were chosen for subsequent assessments in October 1989,2001,2011 and 2019.The classified maps of 1989,2001,2011 and 2019 were created using the maximum likelihood classifier.Post-classification comparison showed an overall accuracy of 82.5％and a Kappa coefficient of 0.79 for the 2019 map.Results revealed a drastic decrease in closed-canopy and open-canopy forests by 117.4 and 271.6 km2,respectively,and an increase in agriculture/farm cultivation by 1512.8 km2.The two-way ANOVA test showed statistically significant differences in the area of various cover classes.Forest fragmentation was evaluated using the Landscape Fragmentation Tool(LFT v2.0)between 1989 and 2019.The large forest core(＞2.00 km2)decreased from 149.4 to 296.7 km2,and a similar pattern was observed in medium forest core(1.00-2.00 km2)forests.On the contrary,the small core(＜1.00 km2)forest increased from 124.8 to 145.3 km2 in 2019.The perforation area increased by 296.9 km2,and the edge effect decreased from 458.9 to 431.7 km2.The frequency of patches also increased by 119.1 km2.The closed and open canopy classes showed a decreasing trend with an annual rate of 0.58％and 1.35％,respectively.The broad implications of these findings can be seen in the studied region as well as other global ecological areas.They serve as an imperative baseline for afforestation and reforestation operations,highlighting the urgent need for efficient management,conservation,and restoration efforts.Based on these findings,sustainable land-use policies may be put into place that support local livelihoods,protect ecosystem services,and conserve biodiversity.
      原文链接:
    • 万方数据