Intraspecific variation in Licuala glabra Griff. (Palmae) in Peninsular Malaysia– a morphometric analysis

We studied vegetative and reproductive characters of 74 herbarium specimens of Licuala glabra Griff. (Palmae) collected from 22 localities throughout Peninsular Malaysia. To test the null hypothesis that there are no distinct groups within the species, cluster analysis (nearest neighbour), principal coordinates and principal components analyses were performed on the set of 43 qualitative and quantitative characters. The results obtained suggested that: (1) there are three infraspeciflc groups within the species, viz., the two published varieties glabra and selangorensis as well as a possible third novel taxon; (2) there is clustering of individuals corresponding to their geographic localities; (3) clusters generated using only reproductive characters indicate a biogeographic distribution of populations correlated with the mountain ranges in the peninsula.     

Normal Approximations of Exact Tests in Configural Frequency Analysis

The most common tests for types and antitypes in configural frequency analysis are normal approximations of exact tests. In the paper such statistics under the complete independence model and under the fixed margins model are discussed. It turns out that these test statistics are not acceptable when the number of simultaneously performed tests is large or when the expected frequencies are small. In these cases, the use of exact tests is advocated and some existing computer programs for such tests are indicated. A normal approximation based on the strong version of the De Moivre-Laplace limit theorem is also discussed. Empirical examples are given from longitudinal data describing psychological development of boys.     

泡桐属七种植物的RAPD分析

利用 1 3个 1 0 mer的随机引物对中国泡桐属的 7个种进行了 RAPD分析 ,对扩增形成的谱带进行了对比 ,发现 7个种间存在较丰富的多态性带纹。经用 UPGMA法聚类结果说明可把研究的 7个种分成 2个类群。其中白花泡桐与川泡桐亲缘关系最近 ,二者与揪叶泡桐、南方泡桐、山明泡桐归为 1个类群。毛泡桐与兰考泡桐亲缘关系也较近 ,二者在系统演化上比较原始 ,归为 1个类群。     

影响水稻光合日变化的酶和相关因素的分析

水稻叶片的最大光合速率出现在上午１０：００时,Ｒｕｂｉｓｃｏ初始活力也在此时达到最大,然后逐渐降低,下午１４：００时略上升后又下降．Ｒｕｂｉｓｃｏ初始活力与光合速率之间极显著相关,相关系数为 ０．９４７４．运用相关性分析、回归分析、通径分析,对晴（有时有云）天气水稻叶片的光合速度、光合关键酶及有关因素的日变化进行综合评估,结果发现中午光合下降主要来自气孔限制,同时Ｒｕｂｉｓｃｏ活性也下降;Ｒｕｂｉｓｃｏ活性是影响光合日变化的又一重要生化因子．体内Ｒｕｂｉｓｃｏ活性受Ｒｕｂｉｓｃｏ活化酶的调节．     

生态系统的环分析方法

生态系统的环分析方法郭中伟，李典谟（中国科学院动物研究所，北京１０００８０）ＬｏｏｐＡｎａｌｙｓｉｓｉｎＥｃｏｓｙｓｔｅｍＳｔｕｄｙ．￥ＧｕｏＺｈｏｎｇｗｅｉ；ＬｉＤｉａｎｍｏ（ＩｎｓｔｉｔｕｔｅｏｆＺｏｏｌｏｇｙ，，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂ...     

农业生态系统能量分析

农业生态系统的能量分析从能流着手进行农业生态系统的功能量化分析,是农业生态系统重要的研究方法之一。本文简要回顾讨论了农业生态系统能量分析研究的历史和进展。着重讨论了能值分析方法对传统能量分析方法的新发展,分析了农业生态系统能量分析目前存在的问题,并就其进一步发展方向进行了探讨能值分析方法用生产某种能量或物质所直接或间接耗用的太阳能值量来衡量该能量或物质的价值,不仅在概念上而且在算法上都是原有能量分析方法的新发展．发展到能值分析阶段的农业生态系统的能量分析方法亦存有自身的不足之处,如能值转换率的计算过于繁复,能值指标体系缺乏统一性及系统可持续发展的能值综合评价指标缺乏等。这些问题的解决与能值最大功率的明晰化、能值分析与能量及耗散分析的结合、与物质分析及景观结构分析的结合等研究等共同构成了农业生态系统能量分析的几大发展方向。     

Soil properties of Alhagi sparsifolia community in saline-sodic badlands in west China

A field experiment was conducted to assess the influences of soil chemical, physical, and biological properties of Alhagi sparsifolia community in Linze, Gaotai, and Guazhou County, Gansu province, China. Results showed that soils sampled were generally infertile with low levels of organic matter, available nitrogen, phosphorus, copper, manganese, and zinc with bacteria dominant microbial communities supporting A. sparsifolia. Available potassium and iron were sufficient in the study sites. With increasing soil layer depth, the contents of organic matter, available nitrogen, phosphorus, potassium, manganese, urease, dehydrogenase, bacteria, and actinomyces in the soil decreased significantly (P < 0.05), whereas the concentrations of moisture, available iron, and zinc in the soil increased significantly (P < 0.05). The contents of organic matter, available nitrogen, phosphorus, potassium, iron, manganese, zinc, copper, urease, dehydrogenase, bacteria, and actinomyces showed strong seasonal variations (P < 0.05). All these variables except dehydrogenase, bacteria, and actinomyces were the highest in summer and the lowest in spring. The comprehensive score of soil qualities was the greatest in Linze, medium in Guazhou, and lowest in Gaotai.     

引水后杭州西湖主要水质参数的因子分析

利用2000年西湖常规监测数据,通过聚类分析选取三个具有代表性的采样点,用因子分析方法探讨了西湖水质各个参数之间的相互影响,结果表明,西湖水质主要受水温和营养盐的影响,各水域由于所处的地理位置和受到钱塘江引水影响程度的不同又有各自的主要水质影响因子,说明引水工程对改善西湖水质具有一定的作用。     

Geographic variation in vascular mortality in eurasia: Relationship between mortality variables and risk factors

This study was based on a sample of 68 populations from 42 countries of Eurasia. Most of the data were from the MONICA Project, while additional information was from the abundant literature. Mortality rates (from cardiovascular, cerebrovascular and ischaemic heart diseases, and death rate from all causes) and related to them potential risk factors (systolic and diastolic blood pressure, total serum cholesterol and body mass index) were described for men and women, separately for 5 age cohorts, ranging between 25 and 64 years. The results showed that, in contrast to the studies carried out on theintrapopulational level, in our work risk factors did not demonstrate any strong association with mortality rate variables. Moreover, it was found that the vascular mortality on theinterpopulational level explains between 57% and 71% in total mortality and could serve as a quite fair indicator of the populational well-being in general. Although mortality rate from vascular diseases in women was much lower than in man of equal ages, geographic variation of the above mentioned death rates has showed a very similar pattern in the two sexes: the death rate is high in women when it is high in men.     

Methodologically induced differences in oak site classifications in a homogeneous tree-ring network

Spatiotemporal variations in tree growth are induced by varying environmental conditions. Different methods like variants of the principal component analysis and the hierarchical cluster analysis are commonly applied in dendroecology to separate subsets of growth patterns within large tree-ring datasets. To seek for methodological differences in classification techniques and their specific characteristics, we compared three standard methods using a homogeneous oak (Quercus spp.) network from temperate forests in Central-West Germany. Classifications of the original dataset consisting of 46 oak ring-width sites, carried out with the varimax rotated principle component analysis, Ward's method and the average linkage method, reveal differences in the classification of approximately 20% of the sites. Analyses with modified datasets are calculated to evaluate effects of dataset extension, different time periods and different tree-ring detrendings. The application of the principal component analysis generally leads to the most stable site classifications, whereas the most sensitive response to changes in the dataset is obtained by Ward's method. The average linkage method separates single sites in the classification and thus emphasises outliers within the tree-ring network.     

Analysing treatment means in plant tissue culture research

Many researchers set up an experiment, make measurements, do an analysis of variance, calculate the mean response for each treatment, and then try to decide if the treatment means are significantly different and why. Much too frequently, Duncan's multiple range test is used to test differences among means. It is only one of a number of techniques that can be used to examine treatment means. Some researchers are unaware of the different techniques and that the interpretation of the results of an experiment is strongly influenced by the technique used i.e. using two different techniques might produce two different interpretations of the results. Selection of the appropriate technique to use for a particular experiment depends upon the nature of the treatments and the objectives of the research. This paper discusses four techniques (ranking treatment means, multiple comparison procedures, fitting response models, and using contrasts to make planned comparisons) that can be used to examine treatment means and presents examples of the use of each one for plant tissue culture research.Abbreviations (IAA) indole-3-acetic acid - (IBA) indole-3-butyric acid - (NAA) naphthalene-acetic acid - (2,4-D) 2, 4-dichlorophenoxyacetic acid - (BA) benzyladenine - (PBA) tetrahydropyranylbenzyladenine - (2iP) 2 isopentenyl adenine - (2iPA) 2 isopentenyl adenosine Journal Paper J-12661 of the Iowa Agriculture and Home Economics Experiment Station, Ames. Project 2210.     

The multivariate analysis of dermatoglyphics in population systematics

In this paper a multivariate analysis of dermatoglyphics was carried out. The following traits were used: pattern intensity on fingers, average of main line D terminations and frequencies of patterns in the five configurational areas of the palm. Firstly a cluster analysis is produced and completed with a principal components analysis. The results of both studies show clear agreement. The main conclusion is: the multivariate analysis of dermatoglyphics displays several groups of populations, which with the peculiarities pointed out in the paper, are in concordance with the classical racial stocks.     

Ecological species groups in forest communities in South Belgium

Cluster analysis, correspondence analysis and the method of ecological profiles were used to determine and characterize ecological species groups in woodlands in South Belgium. Two data sets were used, one composed of 260 relevés, the other of 130 relevés with soil analyses (A1). Correspondence analysis points out the most important factors influencing the floristic composition of the stations.     

Genome-wide analysis reveals population structure and selection in Chinese indigenous sheep breeds

Background

Traditionally, Chinese indigenous sheep were classified geographically and morphologically into three groups: Mongolian, Kazakh and Tibetan. Herein, we aimed to evaluate the population structure and genome selection among 140 individuals from ten representative Chinese indigenous sheep breeds: Ujimqin, Hu, Tong, Large-Tailed Han and Lop breed (Mongolian group); Duolang and Kazakh (Kazakh group); and Diqing, Plateau-type Tibetan, and Valley-type Tibetan breed (Tibetan group).

Results

We analyzed the population using principal component analysis (PCA), STRUCTURE and a Neighbor-Joining (NJ)-tree. In PCA plot, the Tibetan and Mongolian groups were clustered as expected; however, Duolang and Kazakh (Kazakh group) were segregated. STRUCTURE analyses suggested two subpopulations: one from North China (Kazakh and Mongolian groups) and the other from the Southwest (Tibetan group). In the NJ-tree, the Tibetan group formed an independent branch and the Kazakh and Mongolian groups were mixed. We then used the d_i statistic approach to reveal selection in Chinese indigenous sheep breeds. Among the 599 genome sequence windows analyzed, sixteen (2.7%) exhibited signatures of selection in four or more breeds. We detected three strong selection windows involving three functional genes: RXFP2, PPP1CC and PDGFD. PDGFD, one of the four subfamilies of PDGF, which promotes proliferation and inhibits differentiation of preadipocytes, was significantly selected in fat type breeds by the Rsb (across pairs of populations) approach. Two consecutive selection regions in Duolang sheep were obviously different to other breeds. One region was in OAR2 including three genes (NPR2, SPAG8 and HINT2) the influence growth traits. The other region was in OAR 6 including four genes (PKD2, SPP1, MEPE, and IBSP) associated with a milk production quantitative trait locus. We also identified known candidate genes such as BMPR1B, MSRB3, and three genes (KIT, MC1R, and FRY) that influence lambing percentage, ear size and coat phenotypes, respectively.

Conclusions

Based on the results presented here, we propose that Chinese native sheep can be divided into two genetic groups: the thin type (Tibetan group), and the fat type (Mongolian and Kazakh group). We also identified important genes that drive valuable phenotypes in Chinese indigenous sheep, especially PDGFD, which may influence fat deposition in fat type sheep.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1384-9) contains supplementary material, which is available to authorized users.     

城市生态网络分析研究进展

自生态网络分析方法提出40多年来,其理论发展和应用实践不断拓展,但直至21世纪才不断引入到城市生态系统研究中,用以分析城市内部多个主体和多种生态流构成的关联网络。目前,城市生态网络分析集中于生态网络分析方法与指标的拓展及多尺度的应用研究,而生态网络分析方法又形成了上升性分析和环境元分析两大分支,多尺度应用涵盖了城市镶嵌的区域背景尺度和城市内部产业部门之间的细节尺度。然而,当前研究仍存在着多尺度融合、多种生态网络分析方法集成不足等问题,这限制了城市生态网络分析方法在城市规划设计中的应用。未来城市生态网络分析研究集中于如下3点:(1)开展多尺度城市生态网络分析,包括城市群-城市-园区/社区等,构建多级嵌套生态网络模型;(2)集成上升性与环境元分析方法,提出由外在表征到内在过程的城市生态系统评价模式及模拟方法;(3)强调自然节点在城市生态网络中的重要作用,形成社会经济节点与自然节点并重的生态网络模型,并强调构建多精度的生态网络模型服务于不同的研究目的。     

多元统计方法在节肢动物群落分析中的应用

近年来有关节肢动物群落的研究报道较多,而传统的、简单的多样性指数分析远远不能满足对高通量群落数据的挖掘。采用多元统计方法可以较好地分析群落数据。其中,在研究某一处理的长期效应时,主响应曲线是一种经典的多元分析方法;而非度量多维尺度分析具有能处理较大量的数据且常能以低维排序图反映结果的优点,是一种具有广泛应用前景的排序技术。本文以Bt棉与非Bt棉不同比例混作棉田的节肢动物群落为例,详尽地介绍了主响应曲线和非度量多维尺度在节肢动物群落分析中的应用。     

生态因子对森林生态系统稳定性影响的数学分析

本文在对河南省森林生态类型划分的基础上,应用主成分分析、模糊聚类和遂步判别分析的方法,对森林生态系统的稳定性进行了研究,结果表明：影响森林生态系统稳定性的因子主要有6个,即：森林覆被率、人口密度、土壤侵蚀模数、大风日数、降水集中率和地形;河南省森林生态系统按其稳定程度可分为5个等级;应用逐步判别分析是建立稳定性判别模式的较好方法。     

滴水湖浮游动物群落结构及其与环境因子的关系

为研究上海市滴水湖浮游动物群落结构及其与环境因子的关系,于2012年1—12月对滴水湖进行了一年调查采样。共检出浮游动物33属61种,其中轮虫22属45种,枝角类4属7种,桡足类7属9种。优势种包括10种轮虫,桡足类为中华窄腹剑水蚤(Limnoithona sinensis)和无节幼体,枝角类不形成优势种。浮游动物年均密度为1200个/L,年均生物量为1.67mg/L,种类数、密度和生物量均为春夏两季相对较高。Shannon-Wiener多样性指数H'和Margalef丰富度指数D年均值分别为1.61和1.01,多样性季节差异显著而各样点间差异不显著。相关性分析和多元回归分析显示,水温是影响滴水湖浮游动物群落结构变化的决定性因子,冗余分析(RDA)显示TN、TP、叶绿素a和p H也是影响浮游动物群落变化的重要因素,表明滴水湖浮游动物群落结构的季节变化与水体营养状况密切相关。综合运用水质理化因子、综合营养状态指数、多样性指数及浮游动物优势种对滴水湖进行水质污染水平和富营养化评价,得出2012年滴水湖水质状况属于α-中污型,营养程度为中富营养水平。