浑善达克沙地植物群落物种多样性及环境解释

认识沙地植物群落物种多样性及其与环境的关系,对维护沙地生态系统的结构与功能具有重要意义。本研究基于浑善达克沙地83个样地的群落数据及环境数据,通过数量生态学方法对群落物种多样性及其影响因子进行分析,探讨浑善达克沙地物种多样性特征及其环境解释。结果表明：（1）主要群落有榆树（Ulmus pumila）群落、小叶锦鸡儿（Caragana microphylla）群落、黄柳（Salixgordejevii）群落及长梗扁桃（Prunus pedunculata）群落等,其中榆树群落分布在降水和土壤养分都比较高的区域,小叶锦鸡儿群落适生生境为降水较少且土壤贫瘠的区域;影响该区群落分布的主要环境因子依次为生长季降水量、生长季温度、土壤全氮和全钾含量,降水量的差异显著影响群落分布格局。（2）浑善达克沙地植物多样性的分布呈现出一定的规律性变化。物种多样性指数均随经度和海拔的增加而增加;Patrick指数与Shannon-wiener指数随纬度的增加呈现减少的趋势;Simpson指数与Pielou指数随纬度增加而增加;Patrick指数、Simpson指数和Shannon-wiener指数与生长季降水量、土壤有机碳和有效氮含量呈显著正相关,与生长季均温、≥0 ℃积温、生长季风速呈显著负相关,所有环境变量与Pielou指数均无显著相关性。研究结果阐明了浑善达克沙地物种多样性及植物群落分布的规律以及与关键环境因子之间的关系,有利于提高沙地植物多样性和稳定性,增强沙地植被的生态功能。     

威海小石岛人工鱼礁海域渔获物群落结构特征及其与环境因子相关性

为探究人工鱼礁投放对威海小石岛附近海域渔获物种类组成、渔获量变化、渔获物结构特征的影响,作者于2012~2013年对威海小石岛人工鱼礁区及对照区的渔获物和环境因子进行了调查,并采用聚类分析、单因子相似性分析及相似性百分比分析对渔获物结构特征进行分析,采用典范对应分析(CCA)对礁区主要物种与环境因子的相关性进行分析。结果显示,南、北礁区地笼网调查到渔获物种类数量高于对照区,分别为24、31和18种。南、北礁区鱼类和甲壳类生物资源量高于对照区。南、北礁区全年资源量占优势的种类为日本蟳(Charybdis japonica)和大泷六线鱼(Hexagrammos otakii),对照区为海刺猬(Glyptocidaris crenularis)和大泷六线鱼。聚类分析和单因子相似性分析表明,渔获物组成结构在季节间差异显著(P0.05),在春季和夏季,人工鱼礁区渔获物组成结构和对照区差异显著(P0.05)。典范对应分析表明,水温、叶绿素a和溶解氧是影响礁区主要渔获物种类分布的主要环境因子。投放人工鱼礁改善了威海小石岛礁区水域的渔获物群落结构,并增加主要鱼类、甲壳类经济物种的渔获量。     

塔里木河中游植物群落的数量分类与分析

Plant communities were sampled in the lower reaches of the Tarim River,Xinjiang,The results showed that there are 23 species belonging to 21 genera in 11 families,most of which have low occurrence frequency in quadrats.The most common species is Tamarix ramosissima,which occurred in 17 sites accounting for 89.47% of the total 19 sites,Quantitative classification (TWINSPAN) and ordination(CCA) methods were used to study the distribution Patterns of 23 plant species in 19 sites in this valley.TWINSPAN results showed that the plant communities in the middle reaches of the Tarim River could be divided into 3 groups and the sampling sites could be diveded into 7 types in 3 groups .CCA results were consistent with TWINSPAN results ,and showed species distribution patterns correlated with major environmental variables of groundwater level and soil moisture.     

2012年春季和秋季长江口无脊椎动物群落结构及其与环境因子的关系

根据2012年春季和秋季长江口及邻近海域无脊椎动物的底层拖网资料和环境调查数据,分析了该海域春、秋季无脊椎动物群落结构特征及其与环境因子的关系。结果表明,长江口及邻近海域2个季节共捕获无脊椎动物5目14科25种,其中甲壳动物是最主要的无脊椎动物类群。长江口无脊椎动物资源量占优势的种类包括三疣梭子蟹(Portunus trituberculatus)、脊腹褐虾(Crangon affinis)、细点圆趾蟹(Ovalipes punctatus)和葛氏长臂虾(Palaemon gravieri),春季和秋季对无脊椎动物资源量贡献最大的种类不同。各站次Margalef种类丰富度指数(D)的范围在0.31~2.02之间,ShannonWiener多样性指数(H′)的范围在0.37~1.92之间,Pielou均匀度指数(J')的范围在0.17~0.95之间。春季和秋季长江口无脊椎动物资源量和多样性季节间变异不显著。等级聚类分析(CLUSTER)和非参数的多维标度排序(NMDS)分析表明,无脊椎动物样本可以区分为春季组与秋季组2个组群。单因子相似性分析(ANOSIM)表明,春、秋季组群间无脊椎动物群落结构差异极显著。典型对应分析(CCA)表明,表层磷酸盐、底层溶解氧、底层硅酸盐和底层硝酸盐是影响长江口及邻近海域无脊椎动物群落结构变异的主要环境因子。长江口无脊椎动物季节变异主要体现在种类的季节演替上,营养盐和溶解氧浓度是无脊椎动物种类季节分布的主要限制因素。     

我国东南夏季干旱指数的ECC预测方法

根据中国东南夏季气温和降水显著负相关的特点,构造合适的干旱指数。选取美国NCEP／NCAR再分析月平均海表温度场、北半球500hPa高度场、亚欧大陆表面温度场作为预测因子,取由国家气象中心整理的中国160站月平均降水和温度资料计算出的东南部干旱指数作为预测对象,采用集合典型相关分析方法（ensemble canonical correlation,ECC）预测东南夏季干旱指数。预测与实况之间的空间相关性和时间相关性均表明,该方法优于单因子场典型相关分析（canonical correlation analysis,CCA）预测方法,其中采用超级集合平均法又比等权集合平均法具有更高的预测技巧。     

An ostracod-conductivity transfer function for Tibetan lakes

About 145 freshwater to hypersaline lakes of the eastern Tibetan Plateau were investigated to develop a transfer function for quantitative palaeoenvironmental reconstructions using ostracods. A total of 100 lakes provided sufficient numbers of ostracod shells. Multivariate statistical techniques were used to analyse the influence of a number of environmental variables on the distributions of surface sediment ostracod assemblages. Of 23 variables determined for each site, 19 were included in the statistical analysis. Lake water electrical conductivity (8.2%), Ca% (7.6%) and Fe% (4.8%, ion concentrations as % of the cations) explained the greatest amounts of variation in the distribution of ostracod taxa among the 100 lakes. Electrical conductivity optima and tolerances were calculated for abundant taxa. A transfer function, based on weighted averaging partial least squares regression (WA-PLS), was developed for electrical conductivity (r ² = 0.71, root-mean-square-error of prediction [RMSEP] = 0.35 [12.4% of gradient length], maximum bias = 0.64 [22.4% of gradient length], as assessed by leave-one-out cross-validation) based on 96 lakes. Our results show that ostracods provide reliable estimates of electrical conductivity and can be used for quantitative palaeoenvironmental reconstructions similarly to more commonly used diatom, chironomid or pollen data.     

夏秋季南黄海浮游植物群落及其调控因子

The phytoplankton water samples were collected in two multidisciplinary investigations which were carried out during summer(June) and autumn(November to December) of 2011. Phytoplankton species composition and abundance data were accomplished by Uterm?hl method. The phytoplankton community was dominated by diatoms and dinoflagellates in the southern Yellow Sea(YS) in summer and autumn. In summer, Paralia sulcata and Prorocentrum dentatum were the predominated species, the cell abundance ranged from 0.074 to 107.733×103 cells/L with an average of 9.057×103 cells/L. Two phytoplankton high abundance appeared in northwest part of the survey area and the Changjiang River Estuary, respectively. In autumn, Par. sulcata became the predominant species, and the phytoplankton cell abundance ranged from 1.035×103 to 8.985×103 cells/L, the average was 3.263×103 cells/L. The phytoplankton abundance in surface layer presented the homogeneous distributions. Canonical Correspondence Analysis(CCA) method was applied for discovering the relationship between environmental factors and the common found phytoplankton species. The responses of phytoplankton to nutrients were varied between summer and autumn. The abundance of most predominant species, Par. sulcata was strongly correlated to temperature and salinity in autumn, but not the case in summer.     

Reconstruction of Holocene sea-surface salinity in the Skagerrak–Kattegat: a climatic and environmental record of Scandinavia

Holocene sea-surface salinity in the Skagerrak–Kattegat is reconstructed using weighted averaging regression and calibration (WA) of diatom data from core Skagen 3. Diatom data from surface sediments together with 10-yr mean values of salinity and water temperature were used as a modern training set. Canonical correspondence analysis (CCA) was used to identify statistically significant directions of variation within the training set. The results of forward selection of the environmental variables and associated Monte Carlo permutation tests of the statistical significance of each variable, the canonical coefficients, and the intraset correlations of the environmental variables with the CCA axes suggest that summer and winter sea-surface salinities (SSS, WSS) are potentially reconstructable from fossil diatom assemblages. The changes in sea-surface salinity during the Holocene can be correlated with changes in climate of the circum-Baltic area, the current patterns of the Skagerrak–Kattegat, and the development of the Baltic Sea. Generally low SSS and large differences between WSS and SSS (ΔSw-s) during 9000–6000 yr BP might have resulted from a climate with higher precipitation than today in the circum-Baltic area and its catchment, or a climate with maximum precipitation in late spring or early summer. The mechanism behind these patterns may be the combination of the northward shift of the jet stream and a stronger surface westerly penetration into the continent caused by a reduced latitudinal insolation gradient and enhanced land–sea contrast in the early to middle Holocene. It was, however, complicated by local events such as changes in the strength of various currents in the Skagerrak–Kattegat, successions of Baltic brackish and freshwater phases, and hydrodynamic conditions in the circum-Baltic area. © 1998 John Wiley & Sons, Ltd.     

枸杞岛贻贝养殖区大型底栖动物群落结构及与环境因子的关系

大型底栖动物物种组成及其群落结构能间接反映贻贝养殖区底栖生态状况。基于2021年4月和8月枸杞岛贻贝养殖区现场调查数据,开展了大型底栖动物群落结构、季节差异及主要驱动因子的系统解析。调查共鉴定大型底栖动物172种,隶属14纲40目84科,物种季节更替率为83.14%。丰度等级分布(Rank abundance)曲线表明,夏季物种更丰富,但均匀度相对较低。春、夏季大型底栖动物Shannon-Wiener多样性介于1.61～2.95之间,季节间差异显著。Simpson指数与盐度、沉积物中值粒径(D50)存在显著正相关关系;生物量与沉积物中值粒径、总有机碳(TOC)存在显著负相关关系;物种数、Chao1指数、生物量、丰富度均与TOC显著负相关。聚类分析将春季分为四个组别,夏季分为三个组别,NMDS分析表明,春季分组物种分离不显著,夏季分组物种分离显著,相似性分析(ANOSIM)印证了这种差异。应用相似百分比(SIMPER)分析表明,季节平均相异率为87.57%,分歧种为丝异须虫(Heteromastus filiformis)。CCA分析表明,溶解氧、TOC和硝酸盐是驱动贻贝养殖区大型底栖动...     

天鹅洲长江段浮游植物群落季节演替及环境因子研究

通过研究长江天鹅洲白鱀豚国家级自然保护区长江段浮游动植物群落组成及其与环境因子之间的关系,揭示长江干流浮游植物群落的结构特征,以期为该区域生态系统保护与研究工作提供基础资料和科学依据。2014—2015年按季节分四次在干流沿途设置的10个采样点开展了浮游植物调查,并同步开展水温、溶解氧、总磷等水质因子监测,并采用典范对应分析(canonical correspondence analysis,CCA)研究了不同季节浮游植物群落结构变化及其与环境因子的关系。结果表明:浮游植物种类以硅藻、绿藻和蓝藻为主;全年来看生物量组成主要是硅藻和隐藻,不过春秋季时蓝绿藻密度组成占优。CCA分析则进一步显示浮游植物群落组成四季变化明显,其中磷酸盐、溶解氧和氧化还原位等水质因子对春季浮游植物群落结构存在显著的影响,但是夏冬季的浮游植物群落变化则可能是水文情势等条件起到了重要作用。