Species composition and correlation of understory woody plants in Chinese fir plantation in the lower subtropical area

There are 71 species in the shrub layer of the Cunninghamia lanceolata plantation after natural succession. The species richness and diversity have increased with slight anthropogenic disturbance. The status and function of understory woody species were judged by the analysis of the important value (IV). x ² statistics and r test were used for testing the significance of interspecific association and correlation among 25 main understory woody plants selected from the woody population. The results clearly showed their interspecific relationships and their differences in resource utilization. Species-pairs of positive association were in the majority. Most species were accommodated in the shady habitat. There was a positive correlation between the IV of the species and the interspecific association. The higher the IV of the species, the closer and more significant was the interspecific association. Based on analytical results of interspecific association and correlation, 25 woody plants in the shrub layer could be divided into four ecological species groups: I. Ficus hispida + Antidesma bunius + Mallotus barbatus + Ficus cunia + Saurauia tristyla + Mallotus philippinensis + Maesa japonica + Ficus hirta + Alchornea rugosa + Ficus fulva + Mallotus apelta; II. Cudrania tricuspidata + Schefflera octophylla; III. Cunninghamia lanceolata + Clerodendron cytophyllum + Millettia semicastrata + Randia spinosa + Litsea cubeba + Litsea pungens; IV. Ardisia japonica + Psychotria rubra + Vitex quinata + Cephalanthus occidentalis + Pithecellobium lucidum + Mycetia sinensis. If species group III or II is the advantaged species in the shrub layer, the community would change from a coniferous forest to a sparse evergreen broad-leaved forest. For group IV, the community would be relatively stable. For group I, the coniferous forest would be mixed with coniferous-broad leaved forest. The classification of ecological species groups would provide a theoretical basis on judging its ecological function, adjusting the stand structure of the plantation and directing the suitable natural vegetation type through the close-natural restoration process. __________ Translated from Acta Ecologica Sinica, 2005, 25(9): 2173–2179 [译自: 生态学报, 2005, 25(9): 2173–2179]     

影响武夷山景区松墨天牛种群动态变化的因素分析

为了监测武夷山景区松墨天牛Monochamus alternatus Hope的发生,防范松材松材线虫Bursaphelonchus xylophilus病的入侵,于2005-2007年每年4-9月,在武夷山景区10个地点进行了调查,研究了气象因素和环境因素对松墨天牛数量变化的综合影响规律及其程度,对调查结果进行了矢量递进因子分析。结果表明：环境因子和气象因子是松墨天牛羽化孔数和诱集成虫数变化的主要因素,影响松墨天牛成虫诱集数的环境因子按重要性排列依次为：郁闭度、地被物覆盖率、海拔、林龄、坡位、坡向和树高;影响羽化孔数的环境因子按重要性排列依次为：郁闭度、地被物覆盖率、树高、林龄、海拔、坡位和坡向。影响松墨天牛诱集成虫数和羽化孔数的气象因子按重要性排列依次为：月平均温度、最高与最低温差、总降雨量（mm）、气压（hpa）和平均湿度（%）。单从环境因子和气象因子的统计数据分析,环境因子的重要性次序是：坡位、郁闭度、地被物覆盖率、海拔（m）、 林龄（a）、树高（m）、坡向;气象因子的重要性次序是：气压（hpa）、 平均温度 （℃）、最高与最低温差（℃）、 总降雨量（mm）、平均湿度（%）。按月分析和按年度分析时其相对重要性基本上是一致的。结论认为,环境因子和气象因子对松墨天牛的数量变化有重要影响。     

The ‘New Wave’ in plant demographic inference: more loci and more individuals

Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.     

松山自然保护区森林群落的数量分类和排序

根据68个森林群落样方数据,采用双向指示种分析(TW INSPAN)方法,对松山自然保护区的森林群落进行分类和采用除趋势对应分析(DCA)、典范对应分析(CCA)方法进行排序。结果表明:(1)TW INSPAN将该区的森林群落分为13类型;(2)样方的DCA排序及样方和优势种的CCA排序较好地揭示了该区森林群落的分布格局与环境梯度的关系;CCA第一轴明显地反映出森林群落的海拔梯度、枯枝落叶层厚度和土壤深度变化,沿CCA第一轴从左到右,海拔逐渐升高,枯枝落叶层越厚和土壤越深;第二轴与海拔高度和坡度成正相关,而与土壤紧实度成负相关。其中海拔梯度是环境因子中对森林群落起决定性作用的因子。(3)与DCA相比,CCA的排序轴更有利于生态意义的解释,后者能同时反映样方间在种类组成上及环境因子组成上的相似性,表现在排序图中样方较集中,群落间的界线变得较模糊,因此如果排序同分类结合使用,DCA的效果要好于CCA。(4)TW INSPAN分类与DCA和CCA排序的结果,同时表明了该地区森林群落的垂直分布格局。     

大气热层结条件对林冠显热的影响

应用欧拉二阶闭合模型研究了大气热层结条件下森林冠层显热通量源汇分布和通量特征.结果表明:白天,冠层上的不稳定层结和冠层下的稳定层结是森林冠层大气层结的一种特有现象;温度廓线的变化表明林冠高度2/3处存在较强的热源;冠层内大气处于弱稳定状态时,热量继续向上输送,呈现出热通量的反梯度输送.显热通量日变化的模拟值与实测值吻合,其R2=0.9035(P0.01).在显热收支方程中添加浮力项,可提高反演模型在实际大气中的模拟精度,从而改善模型对热通量收支的模拟能力.     

不同模型对拟合大兴安岭林火发生与气象因素关系的适用性

选用符合林火发生数据结构的Poisson和零膨胀Poisson(ZIP)模型对大兴安岭林区1980—2005年间林火发生与气象因素关系进行建模分析,并与普通最小二乘回归(ordinary least squares,OLS)方法的结果进行了对比分析.结果表明:OLS模型对研究区域林火发生与气象因素关系的拟合结果较差(R2=0.215);Poisson和ZIP模型的拟合效果较好,具有较好的火灾次数预测能力,且ZIP模型的预测能力高于Poisson模型.运用AIC和Vuong检验方法对Poisson和ZIP模型的拟合水平进行进一步检验,表明ZIP模型的数据拟合度优于Poisson模型.     

海南霸王岭不同森林类型附生兰科植物的多样性和分布

附生兰科植物是热带林附生植物的主要类群之一,对于维持热带林生态系统的物种多样性及生态功能具有重要的作用。以海南岛霸王岭国家级自然保护区内的6种热带原始林类型(热带季雨林、低地雨林、热带针叶林、山地雨林、山地常绿林及山顶矮林)中的附生兰科植物为研究对象,通过样带调查(每个森林类型设置12个10m×50m的样带,记录每个样带内胸径(DBH)≥5cm的树木及藤本上附生兰科植物的物种名称、株数及附生位置)分析了附生兰科植物的物种多样性、附生位置及其在不同森林类型中的分布规律。结果表明:1)3.6hm2森林调查样带内共记录到附生兰科植物9634株,分属于26属60种;2)除趋势对应分析(DCA)结果表明,6种森林类型中的附生兰科植物可分成5组(其中,山地常绿林与山顶矮林内的附生兰科植物归为一组);3)分布海拔范围相临近的森林类型的附生兰科植物具有较高的相似性,山地常绿林和山顶矮林附生兰科植物的相似性最高(88.9%);4)6种森林类型中,较高海拔的3种森林类型(山地雨林、山地常绿林和山顶矮林)中,附生兰科植物的丰富度和多度均显著高于其在较低海拔的3种森林类型(热带季雨林、低地雨林和热带针叶林),其中,附生兰科植物在山地常绿林内的丰富度和多度均最高;5)热带季雨林、低地雨林、热带针叶林及山地雨林内,宿主冠区附生兰科植物的多度均高于干区;山地常绿林内两者之间无显著差异;而山顶矮林干区的附生兰科植物的多度高于冠区;6)调查木上附生兰科植物的发生率在高海拔森林类型均高于其在低海拔森林类型,各森林类型内附生兰科植物的多度及物种丰富度与宿主胸径均存在显著正相关关系。     

雷州半岛桉树生物质能源林生长的密度效应研究

以雷州半岛2年生桉树无性系DH201(Eucalyptus grandis  E. tereticornis)能源林为研究对象,对6种不同密度配置下的林分生长量、生物量以及热值等进行了分析,探讨密度对桉树生物质能源林生长的影响。结果表明,密度对桉树胸径和树高生长量影响极显著,在林分不同发育阶段对林分蓄积量的影响不同;单株生物量随密度增大而减小。1年生的林分蓄积量和生物量均以密度为10000 ind. hm-2的最大,分别为52.57 m3 hm-2和32.02 t hm-2;2年生的林分蓄积量和生物量均以密度为2500 ind. hm-2的最大,分别为75.85 m3 hm-2和45.66 t hm-2;密度对热值及灰分含量的影响不显著。因此,1年生和2年生的桉树能源林的最优密度分别为10000 ind. hm-2和2500 ind. hm-2。     

The use of infrared‐triggered cameras for surveying phasianids in Sichuan Province,China

We report on the use of infrared‐triggered cameras as an effective tool to survey phasianid populations in Wanglang and Wolong Nature Reserves, China. Surveys at 183 camera‐trapping sites recorded 30 bird species, including nine phasianids (one grouse and eight pheasant species). Blood Pheasant Ithaginis cruentus and Temminck’s Tragopan Tragopan temminckii were the phasianids most often detected at both reserves and were found within the mid‐elevation range (2400–3600 m asl). The occupancy rate and detection probability of both species were examined using an occupancy model relative to eight sampling covariates and three detection covariates. The model estimates of occupancy for Blood Pheasant (0.30) and Temminck’s Tragopan (0.14) are close to the naïve estimates based on camera detections (0.27 and 0.13, respectively). The estimated detection probability during a 5‐day period was 0.36 for Blood Pheasant and 0.30 for Temminck’s Tragopan. The daily activity patterns for these two species were assessed from the time/date stamps on the photographs and sex ratios calculated for Blood Pheasant (152M : 72F) and Temminck’s Tragopan (48M : 21F). Infrared cameras are valuable for surveying these reclusive species and our protocol is applicable to research or monitoring of phasianids.