淮河流域河南段水生植物多样性评价及其影响因素分析

通过对淮河流域河南段开展野外调查及室内监测,分析河流水生植物类群组成及优势物种,从多样性、丰富度、优势度、均匀度4个方面对水生植物进行健康评价,采用CCA分析法探讨影响水生植物的关键环境因素。结果表明,淮河流域河南段共有水生植物38种,隶属于25科33属,分布广泛的优势种为芦苇、水花生、金鱼藻、轮叶黑藻、水蓼、水鳖、篦齿眼子菜。针对健康评价结果,淮河流域河南段水生植物呈现病态到健康状态。分析表明河流生态系统遭受破坏,生态系统呈现不稳定状况,主要原因为水质污染及人为活动干扰强烈。根据水生植物分布与水环境因子CCA响应关系研究,影响水生植物的主要因子为TP、COD、p H、电导率、氨氮。     

三峡水库蓄水后开县消落带植物群落数量分析

为了解三峡水库蓄水后消落带植物群落的特征,于2008年7-9月对重庆市开县消落带进行现场调查,并应用双向指示种分析法(TWINSPAN)和除趋势对应分析法(DCA)对三峡水库156 m蓄水后消落带植物群落进行数量分类和排序.结果表明,TWINSPAN将170个样方划分为19类,其中具代表性的主要植物群落为水蓼(Po-lygonum hydropiper)群落、苍耳+狗牙根(Xanthium mongolicum+Cynodo dactylon)群落、苍耳(X.mongolicum)群落、双穗雀稗(Paspalum paspaeoides)群落和白茅(Imperata cylindrical)群落,反映了因海拔变化(145～156 m)而导致的淹水时间的差异.DCA排序结果显示,淹水时间、土壤湿度和土壤质地是消落带植物群落组成和空间分布的主要限制性影响因子.     

Analysis of the Relationship between Soil and Vegetation in Forest Biogeocenoses by the Principal Component Method

Coordinated soil–geobotanical studies revealed a close correlation between the species diversity of phytocenoses and soil properties in the Russkii Sever National Nature Park (Vologda oblast). Soil acidity, together with the concentrations of exchangeable calcium, potassium, and magnesium, is a factor determining variations of species diversity indices for vascular plants and bryophytes in forest biogeocenoses.     

三峡水库春季营养盐和浮游植物空间分布及其影响机制

为研究三峡水库春季水体营养盐与浮游植物的空间分布状况,于2013年3月对三峡水库22条支流及干流的6个断面进行采样监测. 结果表明:来水、回水、河口和干流4类断面ρ(TN)平均值分别为1.69、1.84、2.01、1.51 mg/L;ρ(TP)平均值分别为0.115、0.191、0.179和0.181 mg/L;不同类型断面间ρ(TN)、ρ(TP)差异不显著;水体中N、P的主要形态分别为NO₃--N和PO₄3--P;N/P〔n(N)/n(P)〕从来水(110.8)至干流(18.9)逐渐降低. 三峡水库总体上为中营养状态,回水和河口区富营养化程度较高,富营养断面比例分别为45.4%和36.4%. 研究期间共检出浮游植物8门98属,其中以绿藻门、硅藻门和蓝藻门为主,分别检出42、26和17属;从组成上看,来水和干流断面以硅藻-绿藻为主,回水、河口断面以绿藻-硅藻为主. 浮游植物丰度由高到低依次为回水、河口、来水和干流断面. 调查期间,22条支流中有15条支流在不同位置发生水华,但主要集中在回水区;拟多甲藻水华为主要类型且集中在库区的下游支流,而库区中上游支流则以隐藻、衣藻、小球藻、小环藻等水华为主. 环境因子排序分析表明,在水华集中的回水-河口区域,影响浮游植物丰度分布的主要环境因子数明显少于其他区域,温度和ρ(DO)为该区域浮游植物丰度分布的主要影响因子,而ρ(TN)、ρ(TP)的影响不明显.      

Studies on biological features of band pine forests in the intermontane Minusinsk Depression by methods of gradient analysis

The results of gradient analysis of band pine forests in the Minusinsk Depression are presented. Methods of DCA ordination and correlation analysis have been used to reveal specific features of phytocenotic diversity formation in forest communities growing in azonal habitats of this steppe depression and to test zonal and typological forest units for ecological integrity. The role of directly acting zonal and compensatory ecological factors and specific relationships between types of forest communities and ecological-topographic conditions in the main forms of relief are considered.     

Spatial Patterns of Macrobenthic Communities in Shallow-Water Tidal Embayments and Their Association with Environmental Factors

This study examines the distribution, composition, and structure of benthic communities in nine shallow-water semienclosed embayments on Cape Cod, southeastern Massachusetts. The spatial patterns were used to associate benthic characteristics with local environmental factors. Field data from multiple years were collected to measure macrofaunal abundance, community composition, and environmental characteristics. Multivariate statistics were used to analyze the spatial variations of species composition and the abundance of benthic macrofauna. Canonical ordination, specifically redundancy analysis, was used to determine the relative importance of the environmental factors (nutrients and habitat factors) being studied. The analyses demonstrate that the benthic communities in the shallow tidal embayments are clearly clustered in association with the local environments. Species composition and community structure of the benthic macrofauna are significantly correlated with water column parameters, especially with phytoplankton biomass, total nitrogen, and dissolved oxygen.     

山地城市水安全问题的思考

中国属多山地的国家,山地城市依山而建,因其特殊的地理位置、地质条件、地形地貌、气候水文等环境要素,构成了区别于平原城市的重要特征。水安全是全球关注的问题,通过分析我国山地城市水安全问题及影响因素,发现水安全问题日趋严峻,为了构建可持续发展的"人"、"山地"和"水"的和谐关系,需要尽快开展山地城市水安全的研究。     

Multivariate analysis of spatial patterns: a unified approach to local and global structures

We propose a new approach to the multivariate analysis of data sets with known sampling site spatial positions. A between-sites neighbouring relationship must be derived from site positions and this relationship is introduced into the multivariate analyses through neighbouring weights (number of neighbours at each site) and through the matrix of the neighbouring graph. Eigenvector analysis methods (e.g. principal component analysis, correspondence analysis) can then be used to detect total, local and global structures. The introduction of the D-centring (centring with respect to the neighbouring weights) allows us to write a total variance decomposition into local and global components, and to propose a unified view of several methods. After a brief review of the matrix approach to this problem, we present the results obtained on both simulated and real data sets, showing how spatial structure can be detected and analysed. Freely available computer programs to perform computations and graphical displays are proposed.     

Comparison of data from two vegetation monitoring methods in semi-natural grasslands

Two vegetation-monitoring methods were compared: subplot frequency analysis (SF) and visual estimation of percentage cover (VE). Two independent observers collected data from two semi-natural, species-rich grasslands on three different occasions during the growth-season. During the last data collection period, survey times were also recorded. The two different data sets from the two methods were compared using partial Redundancy Analyses. The purpose of the comparison was to identify the method that explains most of the relevant variation in biodiversity-monitoring (inter-and intra-site variation), and the variation irrelevant when evaluating data (systematic inter-observer variation and variation due to phenological changes). Compared with VE data, more variation in SF data could be explained by spatial variables, while less variation depended on the observer and time of year surveyed. SF also found more species per plot but took on average five times longer to complete than VE. In conclusion, the different methods are suitable for different purposes: SF is more suitable for purposes demanding high accuracy and high precision, such as long-term biodiversity-monitoring when the identification of small changes has high priority, while VE might be more suitable for a one-time mapping of a large area.     

Respective influence of habitat conditions and management regimes on prealpine calcareous grasslands

The calcareous grasslands of the south-western French Alps have been poorly studied, although they provide suitable habitat for rare plant species and communities. The separate and combined effects on calcareous grassland communities of habitat conditions (lithology, soil moisture) and management regimes (grazing intensity, cutting regime) were studied using constrained ordination techniques (canonical correspondence analysis with variance partitioning). Among the explanatory variables considered, the most important factor determining floristic composition was lithology, which explained 11.9% of floristic variability, followed by grazing intensity (6.0%). Additive effects of management and lithology explained 23.9% of floristic variability. Species niche amplitude was measured by conditional variances of samples along main ordination axes, in order to define adequate conservation management for the rarest short-lived species with narrow niche breadth on both habitat and management gradients.