Diatoms and biomonitoring: should cell size be accounted for?

Despite the fact that biovolume calculation is a common procedure in most phytoplankton and periphyton studies, diatom community analyses are usually based on relative abundance data. In a biomonitoring context, a community metric that accounts for cell size could be of interest due to the potential differences that might exist in nutrient uptake between large and small-sized species. This paper addresses the question of whether diatom community analysis should be based on relative abundance, biovolume or cell surface. The results show that although community structure expressed as relative proportion of taxa varied according to the metric used, the ordinations conducted with each metric were similar. The explained percentage of species variance was slightly higher with the relative abundance metric compared to the metrics based on relative biovolume or cell surface area. Partial CCAs showed that each water chemistry variable generally explained a higher portion of species variance when the relative abundance was used. The analyses conducted with two size groups (small and large taxa) expressed as relative abundance and relative biovolume showed similar results. Moreover, our data showed that there is no significant relationship between diatom size and total phosphorus. According to these results, it seems that relative abundance would be the most appropriate metric to use for biomonitoring purposes. The biovolume and cell surface area calculations added substantially to the total analysis time due to the numerous measurements required, but did not improve the variance explained in community structure, and site ordinations were not significantly different. Electronic supplementary material Electronic supplementary material is available for this article at and accessible for authorised users.     

博斯腾湖浮游植物群落结构特征及其影响因子分析

2011年对博斯腾湖大湖区17个采样站位的浮游植物及水体主要理化因子进行了4次系统调查。结果表明, 在17个站位共鉴定出浮游植物127种（属）, 其中优势种（属）9种。浮游植物群落全年均以硅藻为主导, 冬、春季节, 浮游植物组成呈硅藻-甲藻型, 优势类群主要为贫-中营养型浮游藻类, 到夏、秋季节逐渐形成硅藻-绿藻型, 以富营养型的浮游藻类为优势类群。浮游植物总平均生物量为（2.512.95） mg/L, 生物量季节变动显著, 峰值出现在夏季, 冬季最低。基于Canoco的多变量分析表明: 环境变量共解释了浮游植物群落总变异的54.5%, 水温是影响浮游植物分布最重要的环境因子, 其次为枝角类丰度。水中氮含量是影响浮游植物丰度的主要因子, 同时浮游植物对水体有机物含量也有较大的影响。       

Ecological restoration and factors regulating phytoplankton community in a hypertrophic shallow lake,Lake Taihu,China

A restoration program for the control of cyanobacterial blooms and the re-establishment of submerged macrophytes was conducted in Meiliang Bay of Lake Taihu since 2003. The effect of this ecological projects on plankton community and water quality, and factors regulating phytoplankton community were investigated in 2005. In general, some improvements of water quality occurred in the ecological restoration region, especially in the region of restoring aquatic macrophytes, where we detected significant reduction of nutrients. However, it seems the abundance of phytoplankton cannot be effectively control by the present ecological engineering. The phytoplankton abundance was high in the target restoration zone. Results of CCA and correlation analysis indicate that the phytoplankton community was mainly controlled by physico-chemical factors. Cyanobacteria species were positively related with pH, temperature, TP and TSS, while negatively related with TN, TN/TP and conductivity. The most discriminant variable was TN/TP, which explained 15% of the total variance of phytoplankton. However, TN was more important for the fluctuation of TN/TP than TP. It suggested that TN may be the ultimate factor controlling the phytoplankton community in Lake Taihu. Variation partitioning analysis showed that the pure contribution of crustacean was low for the variation of phytoplankton, suggesting that top-down control by crustacean zooplankton was weak in Lake Taihu. In general, this study suggested the reduction of nutrient load should be more important than top-down control using zooplankton for the ecosystem restoration in Lake Taihu.     

Dynamic analysis of phytoplankton community characteristics in Daya Bay, China

Daya Bay is a large bay along the southern coast of China. The composition, abundance, community structure and diversity of phytoplankton in Daya Bay were investigated to assess its status in different seasons in 2002, and a total of 48 genera and 114 species of phytoplankton were identified. The cell abundance of phytoplankton varied from 5.79 × 10⁴ cells/m³ to 5.37 × 10⁶ cells/m³ with an average of 1.14×10⁶ cells/m³. The largest community was Bacillariophyta containing 84 taxa, and its average abundance was 1.08 × 10⁶ cells/m³. Annual abundance variations show a typical one-peak cycle, with the highest peak recorded during summer and the lowest recorded during autumn. The ecotypes of phytoplankton were mostly alongshore warm-water species; however, marine warm-water species and eurytopic species during winter and autumn are more abundant than during the other seasons. The dominant species were diverse and varied with seasons. The species diversity index of phytoplankton in Daya Bay was low during summer, especially near the nuclear power station (NPS) and the aquaculture farms during summer and autumn. Community structure and cell abundance were categorized in relation to monsoon, current and anthropological activities. It is presented that the temperature and hydrodynamics in conjunction with the pattern of nutrients (DIN, DIP and N/P) availability and depletion affect the composition, abundance, community structure, community succession and diversity of phytoplankton.     

大亚湾浮游植物群落特征

于2002年冬、春、夏和秋季对大亚湾浮游植物进行采样调查,分析了浮游植物的种类组成、丰度、优势种、多样性及群落结构的季节变化特征和平面分布特征。并讨论了浮游植物与营养盐、水温及环流等环境因子之间的关系。2002年大亚湾浮游植物共鉴定出48属114种(包括变型和变种),丰度范围在5.79×104~5.37×106cells/m3之间,平均值为1.14×106cells/m3。其中硅藻共37属84种,其种数和细胞丰度都占绝对优势,平均丰度为1.08×106cells/m3,其次为甲藻,9属23种,平均丰度为9.91×104cells/m3。此外还鉴定出蓝藻和金藻。大亚湾浮游植物丰度变化呈单一周期型,春夏季高,秋冬季节低。虽然硅藻的丰度占优势,但秋季硅藻丰度降低(占总丰度75.8%)使甲藻和蓝藻所占比例上升。研究得出春夏季大亚湾浮游植物主要以沿岸暖水性种类为主,秋季和冬季除沿岸暖水种之外,广布种和大洋种也较多,尤其在冬季后者占优势。大亚湾浮游植物优势种类多,不同季节既有交叉又有演替。与以往调查资料相比,部分优势种发生变化,优势程度顺序和细胞丰度发生了一定改变,个体较大的细胞丰度优势逐渐增加。另外,受季风、潮流、地理位置及人类活动影响,大亚湾浮游植物丰度和群落结构有一定的季节和平面分布特征。大亚湾浮游植物的多样性在夏季偏低,尤其在大亚湾核电站和大鹏澳养殖区附近表现明显。大亚湾浮游植物的丰度、种数、优势种演替及群落结构等其它群落特征与营养盐尤其是氮、磷和N/P、水温、环流等环境因子密切相关。     

Dynamic analysis of phytoplankton community characteristics in Daya Bay, China

Daya Bay is a large bay along the southern coast of China. The composition, abundance, community structure and diversity of phytoplankton in Daya Bay were investigated to assess its status in different seasons in 2002, and a total of 48 genera and 114 species of phytoplankton were identified. The cell abundance of phytoplankton varied from 5.79 × 10⁴ cells/m³ to 5.37 × 10⁶ cells/m³ with an average of 1.14×10⁶ cells/m³. The largest community was Bacillariophyta containing 84 taxa, and its average abundance was 1.08 × 10⁶ cells/m³. Annual abundance variations show a typical one-peak cycle, with the highest peak recorded during summer and the lowest recorded during autumn. The ecotypes of phytoplankton were mostly alongshore warm-water species; however, marine warm-water species and eurytopic species during winter and autumn are more abundant than during the other seasons. The dominant species were diverse and varied with seasons. The species diversity index of phytoplankton in Daya Bay was low during summer, especially near the nuclear power station (NPS) and the aquaculture farms during summer and autumn. Community structure and cell abundance were categorized in relation to monsoon, current and anthropological activities. It is presented that the temperature and hydrodynamics in conjunction with the pattern of nutrients (DIN, DIP and N/P) availability and depletion affect the composition, abundance, community structure, community succession and diversity of phytoplankton.     

安徽沱湖夏季浮游植物群落结构特征与环境因子关系

为了揭示沱湖浮游植物群落结构特征及其与水环境因子的关系,于2016年7月(夏季),对沱湖流域上游至下游11个采样点浮游植物种类组成、细胞丰度、生物量等进行调查研究。结果显示,沱湖共有浮游植物96种(含变种),隶属8门48属,其中绿藻门(Chlorophyta)和硅藻门(Bacillariophyta)种类最多,绿藻门有23属39种,占总种数的40.63%,硅藻门有7属20种,占总种数的20.83%;其次为裸藻门(Euglenophyta),有5属17种,占总种数的17.71%,蓝藻门(Cyanophyta) 8属14种,占14.58%;甲藻门(Pyrrophyta) 2属2种,隐藻门(Cryptophyta) 1属2种,各占总种数的2.08%,黄藻门(Xanthophyta)与金藻门(Chrysophyta)均有1属1种,均占总种数的1.04%。绿藻和硅藻类物种在沱湖浮游植物群落结构中处于优势地位,沱湖夏季浮游植物种类组成表现为绿藻-硅藻型。沱湖夏季浮游植物细胞丰度与生物量从上游到下游呈逐渐增加趋势,细胞丰度与生物量平均值分别为4.022×106cells/L与3.046 mg/L,蓝藻门和绿藻门类群为沱湖浮游植物细胞丰度主体,硅藻门和裸藻门类群为沱湖浮游植物生物量的主体;上游浮游植物多样性指数与均匀度指数均略高于下游采样点,沱湖水质呈β中污型-无污染型,上游水质优于下游水质。浮游植物群落结构与水环境因子的典型对应分析(CCA)结果表明,电导率、透明度、水深及pH值等环境因子与沱湖夏季浮游植物群落结构有较强的相关性。     

Temporal variations and pond age effect on plankton communities in semi-intensive freshwater marron (Cherax cainii,Austin and Ryan, 2002) earthen aquaculture ponds in Western Australia

The abundance and diversity of the plankton community represents the health of the aquatic ecosystem, and plays an important role in the growth of cultured animals under aquaculture conditions. The temporal variations of plankton abundance, taxonomic composition, diversity, evenness and species richness were studied in three old and three new semi-intensive marron (Cherax cainii, Austin and Ryan, 2002) ponds. Water parameters such as temperature, dissolved oxygen, pH, turbidity, TAN, nitrite, nitrate and reactive phosphate were recorded, and plankton samples were collected every two months, for one year of juvenile production cycle. A total of twenty-six phytoplankton and seven zooplankton genera were recorded. Chlorophyceae was the dominant class of phytoplankton throughout the year, followed by Trebouxiophyceae. Rotifera comprised 49.8% of the total zooplankton community (individuals L^?1), the largest proportion of any group. Temporal variations impacted the plankton abundance and community structure, and plankton abundance were more abundant during summer. The pond age did not influence the phytoplankton abundance, whereas zooplankton abundance was higher in older ponds.     

太湖浮游细菌与春末浮游藻类群落结构演替的相关分析

为研究浮游细菌与浮游藻类群落演替的相关性,2005年4月至6月在太湖5个观测点采集浮游细菌及浮游藻类样本。分别采用聚合酶链式反应-变性梯度凝胶电泳（PCR—DGGE）和显微观察的方法分析浮游细菌及浮游藻类群落组成。结果表明,春末夏初,浮游细菌与藻类均呈现较高的多样性,浮游细菌DGGE图谱具有43种不同条带,浮游藻类的常见种有29种。浮游细菌群落聚类分析显示,丝藻（Ulothrix sp．）和微囊藻（Microcystis spp．）占优势时,浮游细菌群落基因组成存在明显差异。以藻类种群Shannon—Wiener多样性指数（Hp）,浮游藻类总细胞数（N）以及Microcystis spp．（M）百分含量为变量,典型对应分析（CCA）结果显示浮游细菌与浮游藻类群落结构变化的相关系数为30．9％,表明春末夏初太湖浮游细菌与浮游藻类群落演替具有较高的相关性。     

阳江核电站邻近水域浮游植物群落结构及其季节变化

报道了2009—2010年阳江核电站Ⅱ期工程邻近水域的浮游植物群落结构与季节动态,估算了温排水的影响范围,并探讨了温排水对浮游植物群落的影响和预测。结果表明:78份样品鉴定浮游植物6门50属125种,季节平均丰度为(111.8±120.6)(103cells·L-1;硅藻主导型群落,占所有物种的75.4%,其次为甲藻,占19.8%;着色鞭毛藻(棕囊藻)在11月增殖,其丰度的数量级尚未达到发生赤潮的程度;主要优势种为丹麦细柱藻(Leptocylindrus danicus)、斯氏几内亚藻(Guinaridia striata)、中肋骨条藻(Skeletonema costatum)、尖刺伪菱形藻(Pseudonitzchia pungens)、念珠直链藻(Melosira moniliformis)、球形棕囊藻(Phaeocystis globosa)、叉分角藻(Ceratium furca)、密联角毛藻(Chaetoceros densus)等;种类组成及丰度分布有明显季节变化,密集中心不同;丰度分布总体呈现东部近岸向西南离岸减低的态势;11月的浮游植物物种多样性指数(H’)和均匀度(J’)均低,棕囊藻优势度极高,细胞丰度的种间分配不均匀,群落结构不稳定,4、8月反之;温排水的扩散范围估算为10km,浮游植物种类的季节更替反映了物种对温度的生态适应性,棕囊藻高丰度的发生需引起重视;阳江核电站Ⅱ期的温排水效应对浮游植物群落结构的作用并不明显。     

Linking phytoplankton community metabolism to the individual size distribution

Quantifying variation in ecosystem metabolism is critical to predicting the impacts of environmental change on the carbon cycle. We used a metabolic scaling framework to investigate how body size and temperature influence phytoplankton community metabolism. We tested this framework using phytoplankton sampled from an outdoor mesocosm experiment, where communities had been either experimentally warmed (+ 4 °C) for 10 years or left at ambient temperature. Warmed and ambient phytoplankton communities differed substantially in their taxonomic composition and size structure. Despite this, the response of primary production and community respiration to long‐ and short‐term warming could be estimated using a model that accounted for the size‐ and temperature dependence of individual metabolism, and the community abundance‐body size distribution. This work demonstrates that the key metabolic fluxes that determine the carbon balance of planktonic ecosystems can be approximated using metabolic scaling theory, with knowledge of the individual size distribution and environmental temperature.     

海南西部近岸浮游植物的周年变化及主要关联因素

报道了2008—2009年4季度海南西部近岸浮游植物群落的周年动态并探讨其主要关联因素。165份样品经鉴定共有浮游植物4门74属155种(含5变型和2变种),周年平均丰度为(6.36±4.75)×103cells/L。硅藻在物种组成和丰度上均占绝对优势,其次为甲藻,蓝藻(束毛藻)在7月增殖。主要优势种为菱形海线藻(Thalassionema nitzschioides)、奇异棍形藻(Bacillaria paradoxa)、具槽帕拉藻(Paralia sulcata)、旋链角毛藻(Chaetoceros curvisetus)、笔尖根管藻(Rhizosolenia styliformis)、束毛藻(Trichodesmium spp.)、海洋原甲藻(Prorocentrum micans)等。物种组成的季节差异较大,10月浮游植物种类贫乏,1月次之,4月、7月最丰富。丰度10月最高,季节差异并不明显。束毛藻在4月、7月呈斑块状群聚分布。浮游植物周年平均丰度并不高(<1.0×104cells/L)。不同季节优势种有明显的交错和变化,菱形海线藻、奇异棍形藻、具槽帕拉藻为全年优势种。浮游植物物种多样性指数和均匀度都表现出较高的值,均匀度与多样性指数的季节变化特点基本一致,群落多样性高的季节物种均匀度也好。物种多样性指数指示调查区水体遭受污染程度低,水质状况优。调查区各季节的浮游植物丰度与温度之间无显著的相关关系,1月丰度与盐度则呈密切负相关关系。10月浮游植物丰度与无机氮(DIN)呈密切的正相关关系。7月浮游植物丰度与活性磷酸盐(PO4-P)呈密切的负相关关系。浮游动物对浮游植物的摄食压力直接影响到后者的丰度变动,并伴随着海区生态系统的相关复杂现象及生物学过程的作用。     

长期砷胁迫下大屯海浮游植物群落的季节性特征及其驱动因子

重金属是影响湖泊水质和生态健康的重要胁迫因子,系统识别生物对长期污染胁迫的响应模式是开展污染湖泊生态修复的重要基础。本研究以经历持续砷污染的大屯海为研究对象,于2017年6月—2018年3月对水体浮游植物和环境因子开展季节性调查。结果显示: 大屯海的浮游植物群落主要由蓝藻门组成,与已有研究反映的长期砷胁迫下浮游植物组成以蓝藻门等耐受属种为主的特征一致。相似性和方差分析结果表明,浮游植物群落结构和生物量存在显著的时间差异而空间差异不显著。Pearson相关分析表明,浮游植物总生物量与溶解性正磷酸盐和砷呈显著正相关,与砷对藻类生长产生的低促高抑效应一致,同时磷酸盐的增加可能降低了砷对藻类的毒性效应。冗余分析显示,溶解性营养盐和砷是影响浮游植物群落变化的显著因子。方差分解结果表明,营养盐和水温分别单独解释了群落结构变化的17.6%和3.8%,且与砷产生了较强的相互作用(15.1%);而砷对浮游植物的群落构建无显著的独立作用,反映了现有优势藻类具有对砷较强的耐受性从而对砷浓度的变化不敏感。因此,大屯海的优势浮游植物以耐砷藻类为主,砷对藻类产生的低促效应是污染湖泊修复中需要重点关注的生态效应之一。     

Increasing importance of small phytoplankton in a warmer ocean

The macroecological relationships among marine phytoplankton total cell density, community size structure and temperature have lacked a theoretical explanation. The tiniest members of this planktonic group comprise cyanobacteria and eukaryotic algae smaller than 2 μm in diameter, collectively known as picophytoplankton. We combine here two ecological rules, the temperature–size relationship with the allometric size‐scaling of population abundance to explain a remarkably consistent pattern of increasing picophytoplankton biomass with temperature over the ?0.6 to 22 °C range in a merged dataset obtained in the eastern and western temperate North Atlantic Ocean across a diverse range of environmental conditions. Our results show that temperature alone was able to explain 73% of the variance in the relative contribution of small cells to total phytoplankton biomass regardless of differences in trophic status or inorganic nutrient loading. Our analysis predicts a gradual shift toward smaller primary producers in a warmer ocean. Because the fate of photosynthesized organic carbon largely depends on phytoplankton size, we anticipate future alterations in the functioning of oceanic ecosystems.     

Relationship between bacterioplankton and phytoplankton community dynamics during late spring and early summer in Lake Taihu, China

The relationship between bacterioplankton and phytoplankton community compositions was investigated from April to June, 2005 with samples taken at five different stations in Lake Taihu, China. Bacterioplankton and phytoplankton community compositions as determined by denaturing gradient gel electrophoresis of polymerase chain reaction amplified bacterial 16S rRNA gene fragments (PCR-DGGE) and microscopic examination, respectively, revealed a high degree of diversity. In total, 43 unique bands were identified amongst the DGGE profiles, and 29 dominant phytoplankton populations were observed. The DGGE profiles were clustered into two distinct groups. These two clusters were closely associated with two dominant phytoplanktons, Ulothrix sp. and Microcystis spp., as observed on April 19, May 27 and June 27, 2005, respectively. The relationship between bacterioplankton and phytoplankton community compositions was investigated using Canonical Correspondence Analysis (CCA) with the Shannon-Wiener diversity index of phytoplankton community (Hp), the total cell abundance of phytoplankton (N) and the relative abundance of Microcystis spp. (M) as the variables. The CCA results indicated a 30.9 % correlation coefficient, suggesting a high degree of correlation between bacterioplankton and phytoplankton community compositions.     

Relationship between bacterioplankton and phytoplankton community dynamics during late spring and early summer in Lake Taihu, China

The relationship between bacterioplankton and phytoplankton community compositions was investigated from April to June, 2005 with samples taken at five different stations in Lake Taihu, China. Bacterioplankton and phytoplankton community compositions as determined by denaturing gradient gel electrophoresis of polymerase chain reaction amplified bacterial 16S rRNA gene fragments (PCR-DGGE) and microscopic examination, respectively, revealed a high degree of diversity. In total, 43 unique bands were identified amongst the DGGE profiles, and 29 dominant phytoplankton populations were observed. The DGGE profiles were clustered into two distinct groups. These two clusters were closely associated with two dominant phytoplanktons, Ulothrix sp. and Microcystis spp., as observed on April 19, May 27 and June 27, 2005, respectively. The relationship between bacterioplankton and phytoplankton community compositions was investigated using Canonical Correspondence Analysis (CCA) with the Shannon-Wiener diversity index of phytoplankton community (Hp), the total cell abundance of phytoplankton (N) and the relative abundance of Microcystis spp. (M) as the variables. The CCA results indicated a 30.9 % correlation coefficient, suggesting a high degree of correlation between bacterioplankton and phytoplankton community compositions.     

Predicting community characteristics from habitat conditions: fluvial fish and hydraulics

1. One current approach to the prediction of community characteristics is to use models of key local-scale processes (e.g. niche dimensions) affecting individuals and to estimate the effects of these attributes over larger scales. We tested this approach, focusing on how the hydraulic habitat structures fluvial fish communities. 2. We used a recent statistical habitat model to predict fish community characteristics in eleven reaches in the Rhône river basin in France. Predictions were made ‘blindly’ since most reaches were not used to calibrate the model. The model reflects species preferences for local hydraulics. We made predictions of the fish community from the local hydraulic conditions found in the reaches under low flow conditions. The overall abundance and the relative abundance (both as indices) of fish species, specific size classes and species traits (i.e. reproductive, trophic, morphological and others) were predicted. We summarized our predictions of the relative abundance of species as two ‘community structure indices’ using Principal Component Analysis. 3. Our predictions from low-flow hydraulics were compared with long-term observations of fish communities. The relative abundance of species actually observed depended largely on zoogeographic factors within the Rhône basin which could not be predicted by the model. The model predicted 13% of the variance in the indices of relative abundance at the species level and 23% of this variance at the trait level for all zoogeographic regions combined. However, when focused on reaches within a geographic region, the model explained up to 47% of the same variance. Therefore, geographic regions act as ‘filters’ on the relative abundance of species, but hydraulics do affect fish communities within a given geographical context. 4. For the synthetic ‘community structure indices’, we obtained good predictions from hydraulics independently of the geographical context (variance explained up to 95%). These indices were linked to simple key hydraulic characteristics of river reaches (Froude and/or Reynolds number). The indices enabled interpretations of the links between hydraulics, geomorphology, discharge and community patterns. These links were consistent with existing knowledge of species and their traits. 5. In addition to the above validations, the habitat model partly explained the observed effects of impoundment on fish communities. 6. The present results show that stream hydraulics strongly impact fish community structure. Consequently, our findings confirm that community characteristics can be predicted using models of the local-scale habitat requirements of the species forming the community.     

深圳湾浮游植物群落结构特征及其与环境因子的关系

为研究深圳湾海域浮游植物的群落结构及其与水环境的关系,分别于春夏秋冬(2013年8月至2014年4月)四个季度对深圳湾进行采样分析,并对调查区域内的浮游植物及其主要环境因子进行了相关性分析.结果表明,深圳湾海域共鉴定出浮游植物111种(包括变种和变型):硅藻35属86种,甲藻4属15种,绿藻6属6种,蓝藻3属4种,其中...     

南亚热带贫营养水库春季浮游植物群落结构与动态

2005年1~6月,通过每两周一次的高频率采样,对南亚热带贫营养水库——梅溪水库的水文、营养盐和浮游植物进行了调查,并计算水体浮游植物生物量。主要结果如下:梅溪水库浮游植物具有物种少,生物量低,以飞燕角甲藻(Ceratium hirundinella)和多甲藻(Peridinium sp.)为优势藻的特征。12次采样24个样品共检测到浮游植物42种。浮游植物在早春(1~3月)和晚春(4~6月)有显著的差别,其中每次采样浮游植物早春平均13种,晚春平均21种。浮游植物总的细胞丰度为31~273 cells·ml^-1,总生物量为0.176~2.024 mg·L^-1之间。晚春浮游植物平均生物量明显高于早春。低营养盐和弱酸性水体有利于能够垂直迁移获得营养的鞭毛藻类和其它藻类之间竞争,而使其成为整个春季优势类群。在晚春,随着水温显著增加,浮游植物丰度和生物量也明显增加,但是降雨的增加降低了水体的透明度,大大减缓了由水温上升导致生物量增长的趋势。水温是梅溪水库浮游植物变化的主要限制因子,但是降雨有明显的干扰作用。     

太湖西北湖区2003-2012年间氮磷浓度及浮游植物主要类群变化趋势分析

基于2003-2012年太湖竺山湖和西部沿岸区水体理化指标与浮游植物丰度的逐月监测数据,分析了两个湖区氮磷营养盐状态和浮游植物丰度以及浮游植物主要类群的年际变化趋势及季节变化特征,探讨了浮游植物群落变化与水温及营养盐指标间的关系。结果表明：10年间两个湖区氮磷营养盐浓度总体呈下降趋势,以竺山湖TN、NH₃-N浓度和西部沿岸区NO₃-N浓度下降最为显著;浮游植物丰度总体呈上升趋势,蓝藻在群落结构中日益占据绝对优势;季节变化上,氮营养盐浓度表现为春冬季节高于夏秋季节,TP浓度和浮游植物丰度呈相反的变化趋势。Pearson相关分析显示,水温、NH₃-N浓度和TN/TP是影响蓝藻丰度及其在浮游植物群落中所占比例的主要因素。在温度和营养盐结构的共同作用下,10年间两个湖区蓝藻水华暴发时间逐渐提前,而消退时间逐渐滞后,水华持续时间逐年上升。在全球变暖背景下,太湖水华治理需执行更加严格的氮磷限制阈值,且在重污染的西北湖区控磷依然是关键。