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Relationship between topographic variables and live aboveground tree biomass on a large temperate forest plot 认领 引用
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作者 Dawn Lemke Luben Dimov +3 位作者 Helen Czech Patience Knight William Finch Richard Condit 《Forest Ecosystems》 SCIE CAS CSCD 2025年第5期813-821,共9页
Understanding local variation in forest biomass allows for a better evaluation of broad-scale patterns and interpretation of forest ecosystems’role in carbon dynamics.This study focuses on patterns of aboveground tre... Understanding local variation in forest biomass allows for a better evaluation of broad-scale patterns and interpretation of forest ecosystems’role in carbon dynamics.This study focuses on patterns of aboveground tree biomass within a fully censused 20 ha forest plot in a temperate forest of northern Alabama,USA.We evaluated the relationship between biomass and topography using ridge and valley landforms along with digitally derived moisture and solar radiation indices.Every live woody stem over 1 cm diameter at breast height within this plot was mapped,measured,and identified to species in 2019-2022,and diameter data were used along with speciesspecific wood density to map the aboveground biomass at the scale of 20 m×20 m quadrats.The aboveground tree biomass was 211 Mg·ha-1.Other than small stream areas that experienced recent natural disturbances,the total stand biomass was not associated with landform or topographic indices.Dominant species,in contrast,had strong associations with topography.American beech(Fagus grandifolia)and yellow-poplar(Liriodendron tulipfera)dominated the valley landform,with 37% and 54% greater biomass in the valley than their plot average,respectively.Three other dominant species,white oak(Quercus alba),southern shagbark hickory(Carya carolinaeseptentrionalis),and white ash(Fraxinus americana),were more abundant on slopes and benches,thus partitioning the site.Of the six dominant species,only sugar maple(Acer saccharum)was not associated with landform.Moreover,both topographic wetness and potential radiation indices were significant predictors of dominant species biomass within each of the landforms.The study highlights the need to consider species when examining forest productivity in a range of site conditions. 展开更多
关键词 Aboveground tree biomass Paint rock forest dynamics plot Topographic wetness index(TWI) Potential radiation Landform position index
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Disentangling the seasonal dynamics of biodiversity-productivity relationships:the role of species evenness in a subtropical forest 认领 引用
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作者 Yaozhan Xu Fanglin Luo +4 位作者 Han Y.H.Chen Yili Guo Yuanzhi Qin Xiujuan Qiao Mingxi Jiang 《Forest Ecosystems》 SCIE CAS CSCD 2026年第3期777-787,共11页
Understanding the degree to which the species diversity-productivity relationship(SDPR)is applicable to natural ecosystems-beyond modeling and experimental contexts-is of vital importance for comprehending the conse-q... Understanding the degree to which the species diversity-productivity relationship(SDPR)is applicable to natural ecosystems-beyond modeling and experimental contexts-is of vital importance for comprehending the conse-quences of global biodiversity loss on terrestrial ecosystems.Two essential features of natural forests that have not received adequate attention in the SDPR are seasonality and species evenness.Here,we monitor the intra-and inter-annual growths of 6,515 trees in a subtropical seasonal(temperature-and rainfall-seasonal)forest over a six-year period.We investigate whether evenness affects forest productivity independently or interacting with richness and how the underlying mechanisms shift with seasonality and soil properties,employing structural equation modeling.Our findings reveal a consistent decline in species diversity,functional diversity and forest productivity from the wet-warm season to the dry-cold season,with community traits shifting from acquisition to conservative strategies.Species richness increases but evenness decreases forest productivity-uneven commu-nities are more productive,and the attenuation effect of evenness on productivity varies slightly across different seasons.Species richness and evenness jointly affect productivity through community-weighted means(CWM)of functional traits in the wet-warm season and through both functional diversity and CWM of functional traits in the dry-cold season,indicating that the mass ratio effect is predominant during the wet-warm season,whereas both niche complementarity and mass ratio effects jointly drive productivity in the dry-cold season.Soil water availability directly affects forest productivity in the wet-warm season and indirectly through CWM of functional traits in the dry-cold season.Our study,the first to elucidate the seasonal dynamics of the SDPR in subtropical forests.Our results highlight species evenness as a key component of species diversity regulating seasonal pro-ductivity dynamics in heterogeneous,species-rich natural forests.To enhance forest resilience under climate change(e.g.,drought),management should prioritize maintaining moderate evenness,while strategically planting drought-tolerant species and acquisitive species of subtropical forest ecosystems. 展开更多
关键词 Ecosystem productivity Subtropical forest Forest dynamic plot Growing season Mass ratio effect Niche complementarity Functional diversity
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Assessment of the State of Forests Based on Joint Statistical Processing of Sentinel-2B Remote Sensing Data and the Data from Network of Ground-Based ICP-Forests Sample Plots 认领 引用
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作者 Alexander S. Alekseev Dmitry M. Chernikhovskii 《Open Journal of Ecology》 2022年第8期513-528,共16页
The research was carried out on the territory of the Karelian Isthmus of the Leningrad Region using Sentinel-2B images and data from a network of ground sample plots. The ground sample plots are located in the studied... The research was carried out on the territory of the Karelian Isthmus of the Leningrad Region using Sentinel-2B images and data from a network of ground sample plots. The ground sample plots are located in the studied territory mainly in a regular manner, laid and surveyed according to the ICP-Forests methodology with some additions. The total area of the sample plots is a small part of the entire study area. One of the objectives of the study was to determine the possibility of using the k-NN (nearest neighbor method) to assess the state of forests throughout the whole studied territory by joint statistical processing of data from ground sample plots and Sentinel-2B imagery. The data of the ground-based sample plots were divided into 2 equal parts, one for the application of the k-NN method, the second for checking the results of the method application. The systematic error in determining the mean damage class of the tree stands on sample plots by the k-NN method turned out to be zero, the random error is equal to one point. These results offer a possibility to determine the state of the forest in the entire study area. The second objective of the study was to examine the possibility of using the short-wave vegetation index (SWVI) to assess the state of forests. As a result, a close statistically reliable dependence of the average score of the state of plantations and the value of the SWVI index was established, which makes it possible to use the established relationship to determine the state of forests throughout the studied territory. The joint use and statistical processing of remotely sensed data and ground-based test areas by the two studied methods make it possible to assess the state of forests throughout the large studied area within the image. The results obtained can be used to monitor the state of forests in large areas and design appropriate forestry protective measures. 展开更多
关键词 Remote Sensing Sentinel-2B Imagery ICP-Forest Sample Plot Tree Stand Damage Class k-NN (Nearest Neighbor Method) Vegetation Index SWVI Nonlinear Regression Systematic Error Random Error
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2024年北京市某区中学生近视风险因素及可视化对比分析 认领 引用
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作者 金丽娜 夏志伟 +6 位作者 王路 黄娜 庞佶 程若城 徐浩 于瀛琦 邵云平 《中国预防医学杂志》 CAS CSCD 2026年第4期502-506,共5页
目的分析北京市某区中学生近视的影响因素,并通过森林图实现效应量可视化,为中学生近视防控提供参考。方法2024年9—11月采用分层整群抽样方法,抽取北京市某区初高中学生开展视力检查与问卷调查,收集人口学信息、校内外用眼情况、读写... 目的分析北京市某区中学生近视的影响因素,并通过森林图实现效应量可视化,为中学生近视防控提供参考。方法2024年9—11月采用分层整群抽样方法,抽取北京市某区初高中学生开展视力检查与问卷调查,收集人口学信息、校内外用眼情况、读写姿势等19个变量,分别进行单因素及多因素logistic回归分析。利用R软件绘制森林图,直观比较单因素与多因素结果差异。结果共调查中学生1273名,单因素分析显示,性别、学段、做作业时间、胸口与桌子边沿距离、眼睛与书本距离、每天看电视时间、白天户外活动时间、父/母近视等8个因素的近视检出率在各组间差异均有统计学意义(均P1尺(aOR=1.60,95%CI:1.01~2.54)、父母经常/总是提醒读写姿势(aOR=1.37,95%CI:1.01~1.87)、父/母近视(aOR=3.54,95%CI:2.58~4.85)等6个因素是近视的危险因素。森林图显示,单因素及多因素结果95%CI均不跨越1的变量共5个:女性、高中、作业时间过长、眼睛距书本从未/偶尔>1尺、父/母近视,被标记为最终的独立危险因素。结论单因素与多因素logistic回归相结合可有效识别中学生近视的核心危险因素。森林图的可视化有助于直观比较不同模型的效应变化。 展开更多
关键词 中学生 近视 影响因素 森林图
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海南尖峰岭热带天然林物种组成及多样性特征:基于106个公里网格样地 认领 引用
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作者 卢春洋 李艳朋 +7 位作者 陈洁 秦文豪 秦皓 赵婧妍 薛妙雅 李意德 林明献 许涵 《生态学杂志》 CAS CSCD 北大核心 2026年第4期1151-1159,共9页
阐明尖峰岭热带天然林物种组成和多样性,有助于厘清尖峰岭热带天然林本底情况,为生物多样性保护、热带雨林国家公园建设和后续研究提供数据支撑。以106个热带天然林公里网格样地内胸径(DBH)≥1.0 cm的木本植物为研究对象,参照中国森林... 阐明尖峰岭热带天然林物种组成和多样性,有助于厘清尖峰岭热带天然林本底情况,为生物多样性保护、热带雨林国家公园建设和后续研究提供数据支撑。以106个热带天然林公里网格样地内胸径(DBH)≥1.0 cm的木本植物为研究对象,参照中国森林清查网格法和样地调查法进行样地调查,分析尖峰岭热带天然林的物种组成(包括国家重点保护野生植物)、物种-累计取样面积关系、径级结构特征及其影响因子。结果表明,样地内木本植物共计33170株,隶属于71科296属345种,其中包括稀有种74种、常见种131种。重要值≥1的物种共计19种,累计重要值29.7;样地内平均DBH为5.88 cm,径级结构呈倒“J”型;Shannon指数与物种丰富度、Simpson指数、Pielou指数显著正相关,Simpson指数与Pielou指数显著正相关;共记录国家重点保护野生植物15种,其中,坡垒(Hopea hainanensis)为国家一级重点保护野生植物,青梅(Vatica mangachapoi)等14种为国家二级重点保护野生植物。综上所述,样地内物种丰富、优势种不明显,整体更新能力较好;国家重点保护野生植物个体数量和更新能力良好,其中常见种可在相似生境的地区进行引种种植。 展开更多
关键词 尖峰岭 热带天然林 公里网格样地 物种组成 生物多样性 国家重点保护野生植物
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基于不同计量方法的森林碳汇差异性研究——以山东省为例 认领 引用
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作者 崔晓伟 邵飞 刘兴增 《山东林业科技》 2026年第1期54-60,共7页
【目标】为全面了解不同计量方法的测算差异和特点,充分发挥森林生态系统碳汇在“双碳”目标中的重要作用。【方法】本研究围绕山东省森林生态系统的碳汇计量方法,对基于森林清查数据采用二元材积模型,遥感反演和通量观测等三种方法进... 【目标】为全面了解不同计量方法的测算差异和特点,充分发挥森林生态系统碳汇在“双碳”目标中的重要作用。【方法】本研究围绕山东省森林生态系统的碳汇计量方法,对基于森林清查数据采用二元材积模型,遥感反演和通量观测等三种方法进行分析,找出不同计量方法下山东省森林碳汇的差异性,探讨适合山东森林碳汇的计量方法。【结果】近20年来,山东林地碳汇总体呈上升趋势,但不同计量方法的测算结果之间有显著差异。其中,基于样地测量的结果最高,2020年林地面积相对2000年增加了约71万公顷,但碳储量到2020年为3421.09万t,是2000年碳汇量的1.45倍;遥感反演结果与样地测算结果增长趋势一致,2020年测算结果为1817.38万t,为样地测算结果的53.12%;基于涡度相关通量观测结果最低,仅为1231.03万t,且测算结果受林地面积变化影响显著。【结论】不同的计量方法可适用于不同的应用场景,样地测算方法是基础工作,是其他测算方法的重要参考,建立样地测算数据库对精准测量森林碳汇具有重大的现实意义;遥感反演则在计算大面积森林生态系统方面具有优势,尤其是对森林生态系统碳的时空分布与动态变化检测方面更具有优越性;基于涡度相关的碳通量观测方法,在小范围内生态系统测量具有观测周期长、数据精度高以及多元素同步测量的优势,可应用于森林碳的机理性研究方面。因此,本研究认为不同应用场景下使用适宜的计量方法,更有利于推动“双碳”工作开展。 展开更多
关键词 森林碳汇 计量方法 样地测算 遥感反演 涡度相关
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鄂西南常绿落叶阔叶混交林超级优势种和大树对生物量和生产力的主导作用 认领 引用
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作者 黄晶晶 吴安驰 +6 位作者 艾训儒 姚兰 朱江 郭秋菊 张科燕 兰洁 朱强 《中南林业科技大学学报》 CAS CSCD 北大核心 2026年第2期23-30,共8页
【目的】系统探索鄂西南天然森林生态系统中超级优势种和大树的组成特征及其在维持森林生物量和生产力中的关键作用,旨在为亚热带山地丘陵地区森林植被的保护与可持续管理提供理论依据与实践指导。【方法】基于亚热带鄂西南天然林生态... 【目的】系统探索鄂西南天然森林生态系统中超级优势种和大树的组成特征及其在维持森林生物量和生产力中的关键作用,旨在为亚热带山地丘陵地区森林植被的保护与可持续管理提供理论依据与实践指导。【方法】基于亚热带鄂西南天然林生态系统中6 hm2大样地的详细调查数据,系统地分析了大样地中超级优势种和大树对生物量和生产力的相对贡献,探讨这些优势树种对区域森林碳循环的潜在影响及其在维持森林生态系统功能和稳定性方面的关键作用。【结果】大样地中少数几个超级优势种贡献了大约50%的物种多度(8个种)、生物量(2个种)和生产力(5个种)。群落中物种多度的排名与其对生物量和生产力的贡献排名并不匹配,甚至存在较大差异。物种多度与生物量和生产力呈显著正相关关系(R2>0.62,P0.98,P0.86,P<0.001)的预测效果极佳。系统发育树显示,超级优势种和大树物种在进化上具有集聚性,并且主要集中在特定的科水平,这些物种在维持生态系统功能中发挥了关键作用。【结论】超级优势种和大树在维持森林生物量和生产力中起着至关重要的作用,这些优势树种不仅对区域森林碳循环产生了潜在影响,还对生态系统的长期健康和稳定具有深远意义。 展开更多
关键词 多度 生物量 森林监测样地 超级优势种 大树 生产力
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南水北调中线干渠浮游植物影响因子识别及藻密度模拟研究 认领 引用
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作者 唐瑞 姚静 +4 位作者 李未 崔驰潇 肖新宗 吴召仕 夏雨 《环境科学研究》 CAS CSCD 北大核心 2026年第5期1182-1193,共12页
浮游植物的异常增殖给输水渠道水安全保障带来挑战。该研究基于南水北调中线干渠2023年2―7月的藻密度和环境因子数据,利用Spearman相关性分析、随机森林重要性排序、偏依赖图(PDP)分析等非线性分析方法,确定影响藻密度的关键环境因子... 浮游植物的异常增殖给输水渠道水安全保障带来挑战。该研究基于南水北调中线干渠2023年2―7月的藻密度和环境因子数据,利用Spearman相关性分析、随机森林重要性排序、偏依赖图(PDP)分析等非线性分析方法,确定影响藻密度的关键环境因子并量化其影响关系,进而建立融合环境因子与空间因子的随机森林藻密度模型。结果表明:①南水北调中线干渠藻密度在空间上呈北高南低的特征,在时间上随季节性水温(WT)升高而增加;藻密度与叶绿素a(Chla)浓度、总氮(TN)浓度、浊度(Tur)、WT均呈极显著正相关(P<0.001),与流量(Flow)、pH均呈极显著负相关(P<0.001)。②WT、Flow、TN浓度为藻密度的关键影响因子;WT为25~29℃、Flow<90 m3/s、TN浓度为1.20~1.30 mg/L是浮游植物快速增长的阈值区间;影响因子间存在明显的协同作用和边际效应。③随机森林藻密度模型训练集R2为0.92、RMSE为43.69×104 cells/L,测试集R2为0.72、RMSE为83.63×104 cells/L,整体精度较高。研究显示,南水北调中线干渠浮游植物季节性、区域性变化主要受环境因子的交互影响,基于环境因子和空间因子所构建的随机森林模型可准确模拟不同断面的藻密度,为浮游植物异常增殖防控及预警预报提供技术支撑。 展开更多
关键词 南水北调中线干渠 浮游植物 环境因子 随机森林 偏依赖图 模拟
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基于孟德尔随机化与中医视角探讨黄褐斑与时型的因果关联 认领 引用
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作者 刘兴晨 陈敬 张文雯 《临床误诊误治》 CAS 2026年第8期92-96,103,共5页
目的 依托孟德尔随机化(MR)方法,融入中医视角,探讨黄褐斑与时型间的因果关系。方法 首先获取芬兰基因库(FinnGen)黄褐斑数据与IEU开放GWAS时型(晨型/夜型)数据,据此筛选工具变量(IV);并通过MR多效性残差和离群值检验剔除干扰单核苷酸... 目的 依托孟德尔随机化(MR)方法,融入中医视角,探讨黄褐斑与时型间的因果关系。方法 首先获取芬兰基因库(FinnGen)黄褐斑数据与IEU开放GWAS时型(晨型/夜型)数据,据此筛选工具变量(IV);并通过MR多效性残差和离群值检验剔除干扰单核苷酸多态性(SNPs),保障IV质量。后续采用逆方差加权(IVW)、MR-Egger回归、加权中位数法进行MR分析,以MR-Egger截距检验评估IV多效性,Cochran’s Q检验评估异质性,同时通过森林图、散点图实现结果可视化。结果 IVW法表明,时型与黄褐斑之间呈显著正相关(OR=0.007,95%CI:0.000,0.655,P=0.032)。结论 黄褐斑与时型之间可能存在潜在因果关系,这不仅为黄褐斑的预防与治疗研究提供了新的切入点,更对深化临床实践具有重要意义。 展开更多
关键词 黄褐斑 孟德尔随机化 中医 昼夜节律 工具变量 异质性 森林图
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Drivers of the differentiation between broad-leaved trees and shrubs in the shift from evergreen to deciduous leaf habit in forests of eastern Asian subtropics 认领 引用 被引量：1
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作者 Yi Jin Hong Qian 《Plant Diversity》 SCIE CAS CSCD 2023年第5期535-543,共9页
In eastern Asian subtropical forests,leaf habit shifts from evergreen to deciduous broad-leaved woody plants toward higher latitudes.This shift has been largely explained by the greater capacity of deciduous broad-lea... In eastern Asian subtropical forests,leaf habit shifts from evergreen to deciduous broad-leaved woody plants toward higher latitudes.This shift has been largely explained by the greater capacity of deciduous broad-leaved plants to respond to harsh climatic conditions(e.g.,greater seasonality).The advantages of deciduous leaf habit over evergreen leaf habit in more seasonal climates have led us to hypothesize that leaf habits would shift in response to climate changes more conspicuously in forest canopy trees than in forest understory shrubs.Furthermore,we hypothesize that in the forests of the subtropics,plants at higher latitudes,regardless of growth form,would better tolerate seasonal harsh climates,and hence show less differentiation in leaf habit shift,compared to those at lower latitudes.To test these two hypotheses,we modelled the proportion of deciduous broad-leaved species and the incidence of deciduous and evergreen broad-leaved species in woody angiosperm species compositions of ten largesized forest plots distributed in the Chinese subtropics.We found that the rate of leaf habit shift along a latitudinal gradient was higher in forest trees than in forest shrubs.We also found that the differentiation in leaf habit shift between trees and shrubs is greater at lower latitudes(i.e.,warmer climates)than at higher latitudes(i.e.,colder climates).These findings indicate that specialized forest plants are differentially affected by climate in distinct forest strata in a manner dependent on latitudinal distribution.These differences in forest plant response to changes in climate suggest that global climate warming will alter growth forms and geographical distributions and ranges of forests. 展开更多
关键词 Functional trait Leaf life span Forest dynamics plot Latitudinal gradient
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Lifespan of tropical trees from seed to 1-cm diameter 认领 引用 被引量：1
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作者 Richard Condit Andrés Hernández +5 位作者 Oswaldo Calderón Rolando Pérez Salomón Aguilar Liza S.Comita Stephen P.Hubbell S.Joseph Wright 《Forest Ecosystems》 SCIE CAS CSCD 2025年第3期551-560,共10页
Background The full lifespan of long-lived trees includes a seedling phase,during which a seed germinates and grows to a size large enough to be measured in forest inventories.Seedling populations are usually studied ... Background The full lifespan of long-lived trees includes a seedling phase,during which a seed germinates and grows to a size large enough to be measured in forest inventories.Seedling populations are usually studied separately from adult trees,and the seedling lifespan,from seed to sapling,is poorly known.In the 50-ha Barro Colorado forest plot,we started intensive censuses of seeds and seedlings in 1994 in order to merge seedling and adult demography and document complete lifespans.Methods In 17 species abundant in seedling censuses,we subdivided populations into six size classes from seed to 1cm dbh,including seeds plus five seedling stages.The smallest seedling class was subdivided by age.Censuses in two consecutive years provided transition matrices describing the probability that a seedling in one stage moved to another one year later.For each species,we averaged the transition matrix across 25 censuses and used it to project the seedling lifespan,from seed until 1cm dbh or death.Results The predicted mean survival rate of seeds to 1cm dbh varied 1000-fold across species,from 2.9×10−6to 4.4×10−3;the median was 2.0×10−4.The seedling lifespan,or the average time it takes a seed to grow to 1cm dbh,varied across species from 5.1 to 53.1 years,with a median of 20.3 years.In the median species,the 10%fastest-growing seeds would reach 1cm dbh in 9.0 years,and the slowest 10%in 34.6 years.Conclusions Combining seedling results with our previous study of lifespan after 1cm dbh,we estimate that the focal species have full lifespans varying from 41 years in a gap-demanding pioneer to 320 years in one shade-tolerant species.Lifetime demography can contribute precise survival rates and lifespans to forestry models. 展开更多
关键词 survival rate document complete lifespansmethods species variation forest plot seedling stage demographic transition merge seedling adult demography tree growth
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人工智能产业空间分布特征与影响因素研究 认领 引用 被引量：1
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作者 贺刚 龚雪梅 《当代经济》 2026年第2期22-30,共9页
在技术革新与数字化转型的驱动下,人工智能产业呈现快速发展态势。本研究基于2000—2023年我国的287个地级及以上城市的微观企业数据,综合运用随机森林模型(RF)、偏依赖图(PDP)与最小二乘法(OLS)分析人工智能产业空间分布特征与影响因素... 在技术革新与数字化转型的驱动下,人工智能产业呈现快速发展态势。本研究基于2000—2023年我国的287个地级及以上城市的微观企业数据,综合运用随机森林模型(RF)、偏依赖图(PDP)与最小二乘法(OLS)分析人工智能产业空间分布特征与影响因素,研究发现:人工智能产业时空演变呈现阶段性加速特征;空间分布高度集聚于长三角、珠三角、京津冀及成渝四大集群,表现出“东高西低、沿海向内陆递减”的梯度分异格局。多维驱动因素中,金融发展、科技创新、信息化水平与创业活跃度均具有显著正向影响;与之相反,电信基础设施与专业人才则呈现负相关关系。基于此,应通过强化东部技术辐射效应、破解中西部地区金融与数字瓶颈、优化人才结构等举措,推动区域协同发展。 展开更多
关键词 人工智能产业 空间分布 产业演化 随机森林模型 偏依赖图
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Fine-scale activity patterns of large-and medium-sized mammals in a deciduous broadleaf forest in the Qinling Mountains,China 认领 引用 被引量：4
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作者 Yuke Zhang Xiangbo He +3 位作者 Xuehua Liu Melissa Songer Haishan Dang Quanfa Zhang 《Journal of Forestry Research》 SCIE CAS CSCD 2021年第6期2709-2717,共9页
The composition of animal species and interactions among them are widely known to shape ecological communities and fine-scale(e.g.,<1 km)monitoring of animal communities is essential for understanding the relations... The composition of animal species and interactions among them are widely known to shape ecological communities and fine-scale(e.g.,<1 km)monitoring of animal communities is essential for understanding the relationships among animals and plants.Although the co-existence of large-and medium-sized species has been studied across different scales,research on fine-scale interactions of herbivores in deciduous broadleaf forests is limited.Camera trapping of large-and medium-sized mammals was carried out over a 1 year period within a 25 ha deciduous broadleaf forest dynamics plot in the Qinling Mountains,China.Fourteen species of large-and medium-sized mammals,including six carnivores,six ungulates,one primate and one rodent species were found.Kernel density estimations were used to analyse the diel or 24 h activity patterns of all species with more than 40 independent detections and general linear models were developed to explore the spatial relationships among the species.The combination of overlapping diel activity patterns and spatial associations showed obvious niche separation among six species:giant panda(Ailuropoda melanoleuca David),takin(Budorcas taxicolor Hodgson),Reeves’s muntjac(Muntiacus reevesi Ogilby),tufted deer(Elaphodus cephalophus Milne-Edwards),Chinese serow(Capricornis milneedwardsii David)and wild boar(Sus scrofa Linnaeus).Long-term fine-scale monitoring is useful for providing information about the co-existence of species and their interactions.The results demonstrate the importance for fine-scale monitoring of animals and plants for improving understanding of species interactions and community dynamics. 展开更多
关键词 Large-and medium-sized mammals Fine-scale interaction Camera trapping Spatiotemporal patterns Forest dynamics plots Qinling mountains
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Coarse woody debris features of a warm temperate deciduous broad-leaved forest,northern China 认领 引用 被引量：3
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作者 Fang Ma Liwen Zhuang +1 位作者 Shunzhong Wang Weiguo Sang 《Journal of Forestry Research》 SCIE CAS CSCD 2021年第3期1105-1114,共10页
Stocking and structural composition of a deciduous broad-leaved forest were determined to predict coarse woody debris quantity by quantifying the empirical relationships between these two attributes.The most ecologica... Stocking and structural composition of a deciduous broad-leaved forest were determined to predict coarse woody debris quantity by quantifying the empirical relationships between these two attributes.The most ecologically significant families by stem density were Salicaceae,Betulaceae,Fagaceae,and Aceraceae.P opulus davidiana was the most dominant species followed by B etula dahurica,Quercus mongolica,and Acer mono.The four species accounted for 69.5%of total stems.Numerous small-diameter species characterized the coarse woody debris showing a reversed J-shaped distribution.The coarse debris of P.davidiana,B.dahurica,and Q.mongolica mainly comprised the 10–20 cm size class,whereas A.mono debris was mainly in the 5–10 cm size class.The spatial patterns of different size classes of coarse woody debris were analyzed using the g-function to determine the size of the tree at its death.The results indicate that the spatial patterns at the 0–50 m scale shifted gradually from an aggregated to a random pattern.For some species,the larger coarse debris might change from an aggregated to a random distribution more easily.Given the importance of coarse woody debris in forest ecosystems,its composition and patterns can improve understanding of community structure and dynamics.The aggregation pattern might be due to density dependence and self-thinning effects,as well as by succession and mortality.The four dominant species across the different size classes showed distinct aggregated distribution features at different spatial scales.This suggests a correlation between the dominant species population,size class,and aggregated distribution of coarse woody debris. 展开更多
关键词 Tree mortality Diversity Size class Forest dynamic plot
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RTK技术在森林样地调查与生态质量监测中的运用 认领 引用
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作者 李昌能 《生态环境保护与修复》 2026年第4期51-53,共3页
RTK技术利用卫星信号进行实时差分处理,可在野外条件下实现厘米级的定位精度,显著提升样地复位及样地定位的精度;同时,结合现代化的电子设备及软件平台,可实现实时的数据采集、处理和传输,提高调查工作的效率与自动化水平。本文概述了RT... RTK技术利用卫星信号进行实时差分处理,可在野外条件下实现厘米级的定位精度,显著提升样地复位及样地定位的精度;同时,结合现代化的电子设备及软件平台,可实现实时的数据采集、处理和传输,提高调查工作的效率与自动化水平。本文概述了RTK技术,分析了RTK技术在森林样地调查中的应用现状,探究了RTK技术在生态质量监测中的创新应用,并思考了其面临的挑战与对策,旨在为相关调查人员提供参考。 展开更多
关键词 RTK技术 生态质量监测 森林样地调查
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STUDIES ON FOREST WATER CYCLING 认领 引用
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作者 周晓峰 王传宽 +1 位作者 李庆夏 金永岩 《Journal of Northeast Forestry University》 1995年第3期89-95,共7页
Principal ideas, research approaches and installations in both Liangshui and Maoershan Ecological Stations were diseussed. Significance of comparability and synchronous detennination in research methods were stressed.... Principal ideas, research approaches and installations in both Liangshui and Maoershan Ecological Stations were diseussed. Significance of comparability and synchronous detennination in research methods were stressed. Comparison analysis was done on the results gained from diferent methods. Adaptive mechanisms of Mongolian oak (Quercus mongolica) to drought and unproductive sites wer expounded through hydrological cycling studies. Surface runoff and flood peak were decreased and the developing processes of flood peak were postponed or delayed because of the presence of huge forest canopy and forest floor. However, the conclusions of forest influences on total runoff,especially in spring and in the dry season t are significant to agricultul practices in notheast China and turned out contrary for satershed sizes or different approaches, which should be studied further. 展开更多
关键词 Forest water cycling Controlled paired-watershed approach Runoff plot Comparbility Synchronous determination
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The Spatial-Temporal Heterogeneity of Understory Light Availability in a Temperate Forest of North China 认领 引用
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作者 Jie Li Ziyu Zhou +2 位作者 Yun Chen Qiusheng Yang Carlos Alberto Busso 《Phyton-International Journal of Experimental Botany》 SCIE 2021年第6期1633-1644,共12页
The spatial-temporal variation of understory light availability has important influences on species diversity and community assembly.However,the distribution characteristics and influencing factors of understory light... The spatial-temporal variation of understory light availability has important influences on species diversity and community assembly.However,the distribution characteristics and influencing factors of understory light availability have not been fully elucidated,especially in temperate deciduous,broad-leaved forests.In this study,the understory light availability was monitored monthly(May–October)in a temperate deciduous,broad-leaved forest in Henan Province,China.Differences in the light availability among different months and habitat types were statistically analyzed using Kruskal–Wallis method,respectively.Partial least squares path modeling(PLS-PM)was used to explore the direct and/or indirect effects of stand structure,dominant species and topographic factors on the light environment.Results showed that there were differences in light environments among the four habitat types and during the studied six months.The PLS-PM results showed that the stand structure and the dominant species were negatively correlated with the light environment,and the path coefficient values were−0.089(P=0.042)and−0.130(P=0.004),respectively.Our result indicated that the understory light availability exhibit a distinct spatial and temporal heterogeneity in temperate deciduous,broad-leaved forest of north China.The characteristics of woody plant community,especially the abundance of one of the dominant plant species,were the important factors affecting the understory light availability. 展开更多
关键词 Dominant species forest canopy stand structure forest dynamic monitoring plot
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亚热带森林多平台激光雷达点云数据集——以广西高峰林场主要树种为例 认领 引用 被引量：2
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作者 蔡尚书 孔丹 +7 位作者 斯林 张珂殊 刘清旺 张庆军 李振 齐志勇 孙华 庞勇 《遥感学报》 EI CSCD 北大核心 2025年第10期2905-2915,共11页
共享多平台激光雷达点云数据对于开展森林生态以及激光雷达算法研究具有重要意义。为此,中国林业科学研究院资源信息研究所发布了亚热带林区的有人机、无人机和地基多平台激光雷达森林样地点云及地面调查基准数据集。数据集在中国广西... 共享多平台激光雷达点云数据对于开展森林生态以及激光雷达算法研究具有重要意义。为此,中国林业科学研究院资源信息研究所发布了亚热带林区的有人机、无人机和地基多平台激光雷达森林样地点云及地面调查基准数据集。数据集在中国广西壮族自治区国有高峰林场获取,包括桉树、杉木和马尾松3个树种,共25块样地。地面调查数据包括样地位置、树木位置、胸径、树高、枝下高和冠幅。该数据集可用于剖析不同平台激光雷达表征森林三维结构信息的特点,评估点云配准、单木分割等点云处理算法性能,分析森林结构参数提取的适用性,为区域、样地和单木尺度森林研究提供重要参考。此外,本研究发展了一种基于地基激光雷达点云的地面调查方法。该方法根据树干点云标记树木位置,并基于树木位置图进行每木检尺,记录树木参数,避免了实地单木定位和标记步骤,提高了作业效率,为林业地面调查提供一种新思路。 展开更多
关键词 亚热带林区 激光雷达 有人机 无人机 地基 多平台 森林样地 点云 基准数据集 地面调查
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安徽省林草湿荒普查草地样地调查技术的探讨 认领 引用
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作者 邱天 《安徽林业科技》 2026年第1期60-64,共5页
为推进区域性草原事业高质量发展,本文基于2024年安徽省林草湿荒普查中的草地样地调查实践,系统剖析了当前草原监测工作面临的主要问题,包括样地代表性与布设合理性不足、专业支撑能力与资源本底不匹配、监测成果与系统治理需求衔接不... 为推进区域性草原事业高质量发展,本文基于2024年安徽省林草湿荒普查中的草地样地调查实践,系统剖析了当前草原监测工作面临的主要问题,包括样地代表性与布设合理性不足、专业支撑能力与资源本底不匹配、监测成果与系统治理需求衔接不畅等方面。针对这些挑战,进一步提出了以管理需求为导向优化草地固定监测样地布设、以能力匹配为导向强化草地监测全过程质控、以质控标准为导向规范草地监测全流程操作等具体对策,以期为南方省份在山水林田湖草沙系统治理背景下,实现草原资源的精准监测与科学管理提供实践参考。 展开更多
关键词 林草湿荒普查 草地资源 监测 样地布设 成果应用
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住院抑郁症病人中西药联合治疗的影响因素分析 认领 引用 被引量：3
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作者 郁玉发 易天军 +2 位作者 刘佩友 任安俊 徐靖 《安徽医药》 CAS 2025年第3期512-518,共7页
目的比较抗抑郁西药组与西药联合中草药汤剂组住院病人的临床特征,分析抑郁症病人联合使用中西药抗抑郁的影响因素。方法回顾性分析十堰市中医医院2022年6—12月431例住院病人的临床资料,比较两组病人的用药信息、一般资料、实验室检查... 目的比较抗抑郁西药组与西药联合中草药汤剂组住院病人的临床特征,分析抑郁症病人联合使用中西药抗抑郁的影响因素。方法回顾性分析十堰市中医医院2022年6—12月431例住院病人的临床资料,比较两组病人的用药信息、一般资料、实验室检查报告等,对抑郁症病人的各项资料进行单因素分析和多因素logistic回归分析,探讨联合使用中西药抗抑郁的影响因素。结果431例住院抑郁症病人单纯使用西药214例(西药组),中西药联用217例(联用组),单因素分析显示年龄、病程、复发次数、合并躯体疾病、服药依从性、汉密尔顿抑郁量表(HAMD)评分、匹兹堡睡眠质量指数(PSQI)评分对联合使用中西药差异有统计学意义(P<0.05);多因素回归分析显示年龄、合并躯体疾病、服药依从性、HAMD评分、PSQI评分是中西药联合治疗的独立影响因素。中西药联用组病人住院治疗前焦虑/抑郁程度28(24,30)分较西药组高25(23,27)分(P<0.001)、住院治疗后中西药联用组病人的不良反应显著低于西药组(P<0.05)[消化系统不良反应26(12.1%)比43(20.1%);血液和淋巴系统不良反应17(7.8%)比19(8.9%);心血管系统不良反应11(5.1%)比23(10.7%);神经系统不良反应12(5.5%)比19(8.9%);其他不良反应6(2.8%)比8(3.7%)]。结论中西药联合治疗抑郁症有助于提高抑郁症病人生命质量。中西联合用药应重点关注病人的年龄、合并其他躯体疾病、服药依从性、HAMD评分、睡眠状况等因素。 展开更多
关键词 抑郁症 抗抑郁药 中药 联合用药 回顾性分析 森林图
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