Including spatial contiguity information in the analysis of multispecific patterns

In this paper we analyse an ordination method in which spatial contiguity information is included. The original method, proposed by Ver Hoef and Glenn-Lewin (1989), is extended, using graphs to describe spatial contiguity for several sampling schemes where locations are given. Extensions for two dimensional grids and for the case of discrete measures of abundance are analysed. Applications to simulated transect frequency data and real data collected on a regular grid are reported.     

排列法检测围隔生态实验中加磷对浮游植物结构的影响

分析了1997和1998年3次围隔实验中的浮游生物结构和环境因子，检验加P及赤潮前后的变化和对它们的影响。采用因子分析（EA）和关联分析（CA），得出浮游植物种类集合的序列，根据因子分析和关 联分析的前两个轴建立平面坐标，并用方差分析（ANOVA）检验其差异，探讨加P及赤潮相关的群落结构模式。建立种类序列坐标轴，为确定种对结构分散的重要程度评估提供 客观方法，并用方差检验差异确立加P发生赤潮和 分浮游植物的体积进行了测量，并用经验公式计算了单个细胞的碳含量。     

Developing a Monitoring Program for Invertebrates: Guidelines and a Case Study

Abstract:  Invertebrates provide the majority of ecosystem services; thus, it is important that they be inventoried, monitored, and protected. Nevertheless, inventories, monitoring, and management generally focus on vertebrates and flowering plants. Consequently, there are few guidelines or case studies for invertebrates. We present a procedure for developing a monitoring program for species-rich invertebrates that entails (1) characterizing the community; (2) identifying surrogates for biodiversity; and (3) establishing efficient methods to monitor surrogates and any ecologically important or sensitive taxa. We used these procedures, biodiversity-based statistical advances, and a survey of arthropods to develop a monitoring plan for the forests of Shenandoah National Park, Virginia (U.S.A.). Our case study revealed that mixed hardwood and hemlock forests had significantly different compositions of arthropods in their soil and understory strata. Of the 10 orders tested Coleoptera and Hymenoptera were the only two to pass most of the five surrogate tests, and their combination improved predictions of overall arthropod diversity. Because arthropods represent the majority of macroscopic species in most ecosystems, the ability of this assemblage to predict overall arthropod diversity makes it a powerful surrogate. Of the 11 collecting methods used, the beat-sheet method was the most efficient for monitoring this surrogate assemblage. To complement this coarse-filter approach to monitoring at-risk, invasive, or other important taxa (fine filter), we used ordination analyses to match 66 taxa with the methods that most effectively sampled them. Our methods serve as a model for developing an invertebrate monitoring plan and should facilitate linking such monitoring with ecosystem functions and management.     

长江口邻近水域浮游植物群落动态变化及其环境因子的研究

根据1998-2003年长江口邻近水域(30°-32°N,121°27′-122°30′E),丰水期和枯水期10个航次、20个点位的海洋监测结果,对浮游植物动态变化及其环境影响因子进行了研究。6年内共检出浮游植物238种,其中大部分为硅藻。研究结果表明,深水航道附近水域中,浮游植物种类、丰度和生物多样性均呈下降趋势。相反,航道内浮游植物总丰度呈直线上升(R=0.81,P<0.05)。对航道内12个环境因子做主成分分析,盐度、溶解氧、硅酸盐和浊度为主要环境主要因子。其中浊度和硅酸盐与浮游植物群落变化关系密切,是影响浮游植物群落动态变化的关键因子,并受深水航道工程影响。     

底栖生物群落结构变化多元变量统计分析

在生物物种水平上,对原始生物丰度数据经过四次方根变换,采用Bray－Curtis相似性测量和组间平均聚类分析,以及MDS序列分析等多元统计分析方法,评价了大连潮间带大型底栖生物群落结构变化。结果表明,多元统计分析方法正确展示了由于污染梯度变化引起的群落结构梯度变化关系。与生物多样性指数方法分析结果比较,多元统计分析方法分析污染群落结构变化较灵敏。     

保护植物野生大豆群落不同物种间的生态关系分析

野生大豆(Glycine soja)为我国二级濒危保护植物.通过野外调查和室内实验,利用TWINSPAN分类、DCA间接排序和CCA直接排序的数量分析方法,定量研究了野生大豆群落分布与环境之间的关系.结果表明,TWINSPAN分类将106个样方分为4个群丛组,分别代表水库撂荒地、湿河床、较湿石质河床和较干土质河床4种不同的生境类型,不同的群从组在DCA排序轴上的位置基本反映出其分布与环境梯度的关系;进一步的DCA间接排序和CCA直接排序分析显示,土壤含水量和土壤养分是决定各个不同野生大豆群丛组分布的关键因子;最后通过建立野生大豆3个种群特征与DCA排序第一轴的回归关系分析,确定了盖度和重要值在反映野生大豆种群优势度上要优于高度.图4表1参19     

太湖湖滨带浮游植物群落特征及指示种筛选

针对太湖湖滨带,均匀布设49个点位,分别于2009年12月、2010年4、8月开展浮游植物及水质监测。结果显示,湖滨带浮游植物群落多样性整体较低,优势种从枯水期到丰水期呈"鱼腥藻-鱼腥藻-微囊藻"的演变趋势;西北部湖区(竺山湖、梅梁湾、西部沿岸)浮游植物密度明显高于东南部湖区(东部沿岸、东太湖、南部沿岸);湖滨带浮游植物群落结构与湖体相似,密度比湖体高1个数量级;RDA排序筛选出在显著水平上解释浮游植物分布的最小变量组合为TN、CODMn、SS、p H、SD,且方差分解指出TN是相对最重要的变量;当物种适合度为50%~100%时,与TN具有较好梯度响应关系的是四尾栅藻及弓型藻,并且这2个种与TN、TP及综合营养状态指数的组合变量也有较好的梯度响应关系,具备指示太湖湖滨带富营养化的可能,但定量指示意义尚待进一步研究。     

Matching species traits to environmental variables: a new three-table ordination method

This paper addresses the question of studying the joint structure of three data tablesR,L andQ. In our motivating ecological example, the central tableL is a sites-by-species table that contains the number of organisms of a set of species that occurs at a set of sites. At the margins ofL are the sites-by-environment data tableR and the species-by-trait data table Q. For relating the biological traits of organisms to the characteristics of the environment in which they live, we propose a statistical technique calledRLQ analysis (R-mode linked toQ-mode), which consists in the general singular value decomposition of the triplet (R ^t D _I LD _J Q,D _q ,D _p ) whereD _I ,D _J ,D _q ,D _p are diagonal weight matrices, which are chosen in relation to the type of data that is being analyzed (quantitative, qualitative, etc.). In the special case where the central table is analysed by correspondence analysis,RLQ maximizes the covariance between linear combinations of columns ofR andQ. An example in bird ecology illustrates the potential of this method for community ecologists.     

On the Assessment of the Structural Organization of Phytoplankton (Lake Bol'shoe Miassovo,the Southern Urals)

Ordination methods were applied to the identification of structural units in the phytoplankton community. The groups of phytoplanktonic species identified by the time gradient and the method of cluster analysis of species lists were compared. The structural complexity of the phytoplankton community was evaluated using the index of cenotic significance (ICS) and derivative calculation coefficients. A high degree of similarity in the structure of dominance between the zooplanktonic and phytoplanktonic communities of the water body was revealed.     

赣江流域浮游硅藻功能群多样性及其水期演替的驱动特征

为了摸清我国南方丰水型河流流域重要的环境指示类群——浮游硅藻的功能多样性及其环境驱动要素,以赣江流域为例,采用国际上普遍认可的雷氏(Reynolds)、博氏(Borics)和帕氏(Padisák)分类体系进行浮游硅藻类群的系统研究. 结果表明:赣江流域共发现11个浮游硅藻功能类群(包含122种硅藻),并以MP、P、D和L_O类群物种最丰富,全年以MP、P、C和D类群占优势,不同水文期浮游硅藻优势功能类群存在明显分异,表现为丰水期以MP类群占绝对优势,枯水期以C和MP类群占共优势,平水期以则以C类群占绝对优势. 多元逐步回归分析发现,与丰水期占优势的MP、P、C和D类群密度呈显著相关的主要环境因子为纬度、ρ(Hg)、ρ(Zn)、pH和ρ(S2-),与枯水期占优势的C、MP、P和D类群密度呈显著相关的主要环境因子为ρ(Pb)、ρ(Cr6+)、纬度、ρ(BOD₅)、ρ(N)、ρ(P)和ρ(CN-),与平水期占优势的C、P和MP类群密度呈显著相关的主要环境因子为ρ(BOD₅)、ρ(Pb)、ρ(Hg)、ρ(Cd)和ρ(NH₄+-N)等.除趋势对应分析(DCA)和冗余分析结果显示,影响赣江流域浮游硅藻功能多样性的主要环境因子包括流域的经纬度、ρ(FC)(FC为粪大肠杆菌)、重金属含量〔ρ(Cu)、ρ(Pb)和ρ(Cr6+)〕、水位等(解释度达77.0%~90.4%). 研究显示,赣江流域浮游硅藻功能类群多样性及结构呈明显的季节性演替特征,南-中亚热带流域的纬度差异、气温的时空差异以及水位的水期波动、污染物年内排放节律等的共同作用会引起河流流域水体物理和化学生境的改变,这是促使浮游硅藻功能类群不同水期演替的重要原因.