The role of zooplankton in phytoplankton biomass decline and water transparency regulation in a water body subject to high organic and mineral load

Under biogenic load and at high abundance of ichthyofauna (the concentration of total phosphorus P_tot = 0.20 mg P/l, mineral phosphorus P_min = 0.13 mg P/l, and at the ratio N: P = 4: 1 in early summer), zooplankton reduced phytoplankton biomass during summer and autumn and determined high water transparency, reaching >50% of the depth of the water body. It was found that, with a passage of ichthyofauna to artificial food, the trophic press of plankton-eating fish on zooplankton decreases. Under such conditions, with the biomass ratio of plant-eating zooplankton to edible phytoplankton between 0.4 and 7.9, zooplankton can reduce phytoplankton biomass within a day. The major portion (up to 100%) in phytoplankton biomass reduction was due to large-size filterers-phytophages Daphnia longispina and verticators Asplanchna priodonta helvetica.     

云贵高原湖泊夏季浮游植物组成及多样性

浮游植物是水生生态系统中重要的初级生产者,对维持水生态系统的平衡起着十分重要的作用.根据2008年云贵高原湖泊丰水期浮游植物调查数据,系统地分析了云贵高原13个湖泊中浮游植物的种群密度、生物量、组成及其多样性.云贵高原13个湖泊中共鉴定出浮游植物7门109种(绿藻52种、蓝藻23种、硅藻20种、其他14种).13个湖泊浮游植物Shannon-Wiener指数在0.5-2.2之间,其值大小与单个环境因子无显著相关.相关分析发现浮游植物总量与总氮、总磷、CODMn、硝态氮含量显著正相关,物种丰富度与总氮、总磷(0.1mg/L范围内)、CODMn含量亦显著正相关.另外,研究也发现各湖泊间浮游植物组成的相似性与各湖泊间营养状态差异显著负相关.由此可见,湖泊的营养状态不仅影响浮游植物的总量、组成以及物种丰富度,而且也影响各湖泊物种组成的相似性.     

Phytoplankton distributions and their relationship with the environment in the Changjiang Estuary, China

This study was carried out in the Changjiang Estuary from 19 to 26 May 2003. Based on the data collected from 29 stations, including two anchor stations, phytoplankton taxonomic composition, abundance, diurnal variability and spatial distribution were examined. Eighty-seven species, including 54 species of diatoms and 16 red tide causative species, were identified. Average diversity index (H') and evenness (J) values were 1.04 and 0.40, respectively. A bloom in abundance of certain phytoplankton species, especially Prorocentrum dentatum and Skeletonema costatum, was thought to be the cause of the low diversity index and evenness values. Total phytoplankton abundance averaged 6.75 x 10(5)cells l(-1), and was much higher than previous investigation carried out in the same month in 1986. Abundance increased seaward showing a distinct spatial difference, and the dominant species varied with salinity. Correlation between phosphorus and abundance further supported the former conclusion that phosphorus is the controlling factor in phytoplankton growth in the Changjiang Estuary where light is not limiting. Based on the relationship between DO, pH and abundance, it is likely that the bloom was caused by rapid in situ growth of phytoplankton with high nutrients and sufficient light. The data also indicated that the duration of the bloom was not long and 相似文献   

The dynamics of phytoplankton, bacteria and heterotrophic flagellates at two Banks near Magdeburg in the River Elbe (Germany)

The main objectives of this study were to describe the seasonal standing stock dynamics of phytoplankton, bacterioplankton and heterotrophic flagellates in the highly eutrophic River Elbe (Germany), and to compare the seasonal patterns observed with other streams. Emphasis was placed on examining and assessing abiotic and biotic controlling factors influencing the structure and dynamics of the riverine plankton. All the physico-chemical and biological parameters determined were within the range or somewhat higher (in the case of phytoplankton abundance and biomass) than reported for other large streams. The underwater light conditions resulting from atypically short phytoplankton growth periods of about 6 months per year and the low phytoplankton carbon to chl a ratio of 23 were identified as a major limiting factor for phytoplankton development in the River Elbe. The seasonal distribution pattern of bacterioplankton indicated probable tight trophodynamical coupling both with phytoplankton and with heterotrophic flagellates, whereas heterotrophic flagellates showed a more trophic link with bacterial densities. Although approximately constant DOC and DON levels throughout the year sustained bacterial growth rates, during the phytoplankton growing season an increase of bacterial standing stocks was observed. Although the left-bank sampling site of the Elbe is strongly influenced by the tributaries Mulde and Saale containing higher concentrations of chloride, nitrogen nutrients, heavy metals and organic pollutants, no clear differences were observed between the two sides of the river concerning the biological parameters measured. Possible reasons and the slightly higher phytoplankton abundance and diversity at the right bank are discussed.     

动态调水过程水文和理化因子共同驱动丹江口水库库湾浮游植物季节变化

丹江口水库是南水北调中线工程水源地,库湾是水库型湖泊水质安全敏感区,动态调水过程库湾水质直接关系到调水安全.为探究动态调水过程中丹江口水库库湾浮游植物季节变化规律和驱动因子,2018年7月—2019年7月,从丹库入库口到渠首调水口,按季节对18个样点进行水质和浮游植物群落组成分析.从整个丹库来看,浮游植物全年总丰度变化范围为0.43×10~3～4.7× 10~6 cells/L,夏季最高,秋季最低;Shannon-Wiener指数春季最高,秋季最低.春季群落为硅藻—绿藻型,夏季为绿藻—硅藻型,秋季为蓝藻型,冬季为蓝藻—绿藻—硅藻型,秋季蓝藻相对丰度最高.位于丹库准保护区内的库湾胡寨,秋季水体电导率、总氮、总磷和叶绿素a浓度最大,蓝藻丰度最高.从入库口经库湾到调水口,浮游植物群落组成存在明显演替.从水文因子来看,秋季水库水位较高,调水流速和流量增加,线性回归分析表明,水位对ShannonWiener指数的影响最为明显,水位越高则多样性指数越低;流量和流速与Shannon-Wiener指数也呈负相关,但相关性较低.方差分解分析发现,水文因子和理化因子共同影响了浮游植物群落组成;偏Mantel分析显示3个库湾浮游植物群落组成与水温、氧化还原电位、化学需氧量、总氮和总磷浓度相关;典范对应分析也表明,总氮是影响库湾浮游植物群落组成最显著的环境因子.人类干扰活动改变了库湾水质理化性质,强干扰提高了蓝藻门丰度.因此,控制库湾人类干扰强度,尤其在水位和调水量较高的秋季,对于改善水体藻类组成、保护整个丹江口水库水质具有重要意义.     

Phytoplankton community composition in nearshore coastal waters of Louisiana

Phytoplankton community compositions within near-shore coastal and estuarine waters of Louisiana were characterized by group diversity, evenness, relative abundance and biovolume. Sixty-six taxa were identified in addition to eight potentially harmful algal genera including Gymnodinium sp. Phytoplankton group diversity was lowest at Vermillion Bay in February 2008, but otherwise ranged between 2.16 and 3.40. Phytoplankton evenness was also lowest at Vermillion Bay in February 2008, but otherwise ranged between 0.54 and 0.77. Dissolved oxygen increased with increased biovolume (R2 = 0.85, p < 0.001) and biovolume decreased with increased light attenuation (R2 = 0.34, p = 0.007), which supported the importance of light in regulating oxygen dynamics. Diatoms were dominant in relative abundance and biovolume at almost all stations and all cruises. Brunt-V?is?l? frequency was used as a measure of water column stratification and was negatively correlated (p = 0.02) to diatom relative percent total abundance.     

贵州百花湖麦西河河口浮游植物群落结构及与环境因子关系

2009年7月至2010年6月,以每月一次的频率对百花湖(水库)麦西河河口浮游植物群落结构和环境因子进行调查.监测到浮游植物66种(属),浮游植物主要由绿藻、硅藻和蓝藻组成,夏秋季湖泊假鱼腥藻(Pseudanabaena limnetica)为优势浮游植物,而冬春季梅尼小环藻(Cyclotella meneghinia...     

Factors structuring phytoplankton community in a large tropical river: Case study in the Red River (Vietnam)

Algal assemblages have been widely used as an ecological indicator of aquatic ecosystem health conditions because of their specific sensitivity to a wide variety of environmental conditions. In turbid rivers, as in other aquatic systems, phytoplankton structure plays an important role in structuring aquatic food webs. Worldwide, phytoplankton is less studied in turbid, large tropical rivers compared to temperate river systems. The present study aimed to describe the phytoplankton diversity and abundance in a turbid tropical river (the Red River, northern part of Vietnam from 20°00 to 25°30 North; from 100°00 to 107°10 East) and to determine the importance of a series of environmental variables in controlling the phytoplankton community composition. Phytoplankton community was composed of 169 phytoplankton taxa from six algal groups including Bacillariophyceae, Chlorophyceae, Cryptophyceae, Euglenophyceae, Dinophyceae and Cyanobacteria. Community composition varied both spatially and with season. Sixteen measurement environmental variables were used as input variables for a three-layer backpropagation neural network that was developed to predict the phytoplankton abundance. Phytoplankton abundance was successfully predicted using the tagsig transfer function and the Levenberg-Marquardt backpropagation algorithm. The network was trained to provide a good overall linear fit to the total data set with a slope (R) and mean square error (MSE) of 0.808 and 0.0107, respectively. The sensitivity analysis and neutral interpretation diagram revealed that total phosphorus (TP), flow discharge, water temperature and P-PO₄³⁻ were the significant variables. The results showed that the developed ANN model was able to simulate phytoplankton abundance in the Red River. These findings can help for gaining insight into and the relationship between phytoplankton and environmental factors in this complex, turbid, tropical river.     

洪湖浮游植物群落结构及其与环境因子的关系

为研究洪湖浮游植物群落结构及其与环境因子的关系,于2008年3月(枯水期)及7月(丰水期)在洪湖进行采样分析。两次采样共鉴定有浮游植物6门46属95种,细胞丰度变化范围为2.00×10~5-284×10~5 cells/L。硅藻为两个季节绝对优势门类,其次为绿藻及蓝藻;主要种属为直链藻、脆杆藻、栅藻等.丰水期与枯水期浮游植物群落结构季节差异较大;在枯水期由于硅藻对水温和光照较好的适应能力使其处于优势门类;丰水期由于其他藻类对营养盐的竞争及水体中硅含量充足使得绿藻等生长同时硅藻能继续保持优势地位。主成分分析表明在洪湖富营养化水平及水体中离子类型、水体中物质组成和污染程度是影响浮游植物生长的三类主要因素;典范对应分析结果表明浮游植物群落结构与水温、溶解氧及悬浮物浓度相关。     

以鲢、鳙养殖为主的长江中下游武山湖浮游植物群落结构特征

武山湖是紧邻长江的通江型富营养化湖泊,是国家级湿地公园.为切实了解该湖在以鲢、鳙养殖为主的情况下浮游植物结构特征,于2017年9月-2018年8月对其浮游植物群落结构特征及水质开展了监测.监测结果表明武山湖水质全年处于轻度富营养到重度富营养水平之间;12次共采集浮游植物7门100种（属）,浮游植物优势种共有23种,其中蓝藻门有9种,绿藻门有8种,硅藻门和隐藻门各有3种.夏季和秋季蓝藻门优势种最多且优势度高,冬季和春季绿藻门和硅藻门优势种多且优势度高.武山湖浮游植物每月优势度最大的种类主要有蓝藻门微囊藻和细小平裂藻、绿藻门小球藻以及硅藻门小环藻.浮游植物生物量峰值出现在6月,达34.77 mg/L;丰度峰值出现在7月,达341.46×10⁶ cells/L.冗余分析（RDA）和线性相关分析均表明浮游植物丰度和生物量与总磷、温度和pH均呈显著正相关,且蓝藻门生物量和丰度以及优势属与总磷和温度均呈显著正相关.研究结果表明武山湖浮游植物丰度和生物量在夏季均很高,发生蓝藻水华的风险较大.相对于氮,磷是更重要的限制浮游植物生长的营养元素.     

Spatio-temporal variability of phytoplankton assemblages in the Pearl River estuary, with special reference to the influence of turbidity and temperature

The Pearl River Estuary is among the largest estuaries in the subtropical areas of the world. Along the salinity and turbidity gradient between the freshwater reach of the Pearl River and the marine water of the South China Sea, the spatial and temporal composition and abundance of phytoplankton was examined in relation to physic-chemical variables during the dry and wet seasons of 2009. Water samples for phytoplankton and environmental parameters were collected from 18 stations during two seasons along a transect from upper estuary to estuarine and marine sectors. A total of 162 species belonging to 7 phyla were identified, with diatoms dominated in both seasons while dinoflagellates proliferated in autumn. Two main clusters and three sub-clades under each main cluster corresponding to seasons and water sectors were defined with multivariate analysis (cluster and nMDS). Based on the species composition and abundance of phytoplankton, both seasonal and spatial variability were observed at a significant level (ANOSIM: season effect, R=0.896, P<0.01; station effect, R=0.463, P<0.01). The correlation analysis between biotic and abiotic variables indicated that instead of the “proverbial” anthropogenic nutrients loading and salinity gradient, the best 2-variable combination (temperature and turbidity) showed a significant effect on the pattern of phytoplankton assemblages (ρ_w=0.49, BIOENV analysis) between wet and dry seasons in the Pearl River Estuary. This result suggests that physical disturbance either natural or manmade is a more important factor in regulating the phytoplankton community structure within the hydrologically distinct zone of estuaries.     

Abiotic controls of potentially harmful algal blooms in Santa Monica Bay,California

Despite the increasing occurrence of harmful phytoplankton blooms along the North American west coast, records of phytoplankton populations and related environmental conditions are uncommon. In this study, twice monthly measurements in the upper 50 m are used to assess physico-chemical conditions contributing to the growth of potentially harmful bloom taxa over two annual cycles (2004–2005) in the Santa Monica Bay, California. Results were compared to the predictions of the Intaglio model [Smayda, T.J., Reynolds, C.S., 2001. Community assembly in marine phytoplankton: application of recent models to harmful dinoflagellate blooms. Journal of Plankton Research 23, 447–461.] of phytoplankton community assembly. Potentially harmful taxa were present in every surface sample and were numerically dominant during the largest observed blooms, contributing up to 92% of the total phytoplankton abundance >5 μm. Large interannual variation was observed in the dominant taxa and bloom seasonality; Pseudo-nitzschia sp. dominated blooms in early 2004 (February and April), whereas Prorocentrum micans and Lingulodinium polyedrum blooms occurred in May and September of 2005, respectively. The Pseudo-nitzschia sp. blooms were associated with elevated nitrate, dissolved silicon and phosphate concentrations throughout the euphotic zone; the first bloom followed a strong upwelling and the second occurred during the onset of seasonal stratification. In contrast, the blooms of P. micans were associated with highly stratified, low nutrient waters. Multivariate analysis supports the roles of temperature, mixed-layer depth and nutrient concentrations as primary controls of bloom growth, following the conceptual Intaglio model. The strong presence of potentially harmful bloom species in the Santa Monica Bay during this study appears unusual in comparison to limited studies over the last several decades.     

Investigations on the Urea Uptake by Phytoplankton in the Baltic Sea

Urea uptake by the planktonic community was studied in the central Baltic Sea in July/August 1987, in March 1988 and in August 1988. Uptake was measured with ¹⁴C-urca incubations. Uptake rates were determined in the range of 0.8 … 5.7 nmol/dm³ · h urea in March and 25.6 … 48.0 nmol/dm³ · h urea in August. Respired CO₂ was found to represent 98 to 99 = of total uptake. Light stimulated urea uptake; parallel dark incubations showing usually 4.5 to 80.0 = of the uptake in the light. These results and size fractionation studies indicated that phytoplankton was dominating urea uptake. Urea proved to be an important nitrogen source for phytoplankton during the regenerated phase of the phytoplankton succession.     

鄱阳湖浮游植物时空变化特征及其对极端洪枯事件的响应

鄱阳湖作为中国最大的淡水湖泊,其水生态健康状态始终是人们关注的热点。近些年,鄱阳湖极端洪旱灾害频发,浮游植物生长受极端洪旱的影响发生了明显变化。为分析浮游植物时空变化特征、探究环境因子对鄱阳湖浮游植物影响机制以及极端洪枯事件对浮游植物的影响,利用结构方程模型(SEM)构建浮游植物与环境因子的影响路径模型,定量分析环境因子对浮游植物的影响程度。结果表明,鄱阳湖浮游植物以蓝藻、绿藻为主且有明显的季节特征,在7月丰水期浮游植物密度达到最高;由结构方程模型(SEM)可知,影响浮游植物密度最关键的因子为物理因子(水温>pH>透明度>溶解氧),其次为营养物质(总氮>硝态氮>总磷>磷酸盐),浮游植物对高温、高营养和高pH较偏好。2020年极端洪水和2022年极端高温干旱,浮游植物密度主要受水温、溶解氧、透明度等物理因子的影响;在影响较小的营养物质中,主要的限制性因素分别为磷和氮。与正常年份相比,极端洪水年鄱阳湖受入湖来水及降雨的增多,湖区水量急剧增加,“稀释”作用超过水温和透明度对浮游植物生长的促进作用造成浮游植物密度和生物量有所下降;在营养物质中,磷成为主要限制性因素。而极端高温干旱年受入湖来水的减少及湖水的快速蒸发,“浓缩”作用超过水温和透明度对浮游植物生长的抑制作用造成浮游植物密度和生物量显著增加,同时,营养物质对浮游植物的作用更加凸显。研究结果表明极端洪枯事件导致鄱阳湖浮游植物变化明显,确定其对浮游植物的影响机制,可以为极端洪枯事件下浮游植物监测、管理提供一定的理论基础。     

黑河流域浮游植物群落特征与环境因子的关系

分别于2009年夏季和2010年夏、秋季对黑河流域进行了2次全面调查,共选取76个采样断面进行水样采集,鉴定出浮游植物242种,隶属于8门11纲25目45科94属.其中硅藻门为优势类群,占物种总数的38.43%,绿藻门和蓝藻门次之;黑河流域优势种为尺骨针杆藻(Synedra ulna)、无常蓝纤维藻(Dactylococcopsis irregularis)和尖针杆藻(S.acus),优势度分别为0.060、0.031和0.021,出现频度分别为43.42%、43.42%和46.05%.生物多样性指数及相关指数分析表明,黑河流域中、下游浮游植物群落结构的复杂程度和稳定性均高于上游;同时,综合生物多样性指数及相关指数以及水质理化指标表明,黑河上游水质为无污染或轻度污染,中、下游水质为轻中度污染.浮游植物丰度与环境因子的相关性分析表明,上游浮游植物丰度与水体硬度呈显著正相关;中游浮游植物丰度则与各环境因子无显著相关性;下游浮游植物丰度与水体硬度呈显著负相关,而与总氮×总磷呈显著正相关;总溶解性固体、pH值和水体硬度与全流域浮游植物丰度呈显著正相关.黑河流域浮游植物的空间分布具有与河水水文分带相对应的垂直地带性和水平地带性分异特征.     

热带富营养化湖泊中浮游植物的脂肪酸组成与分布

星湖位于广东省．是一个热带地区的湖泊．本文测定和分析了该湖的两个子湖仙女湖和中心湖浮游植物群落的脂肪酸组成,探讨了浮游植物群落特征与脂肪酸组成之间的关系．两个子湖的富营养化程度较高,其中中心湖更严重．仙女湖的浮游植物群落以蓝藻为主导,而在中心湖则蓝藻或金藻占优势．浮游植物样品中检测到的脂肪酸碳链长为16碳到22碳．其中饱和脂肪酸和单不饱和脂肪酸种类较少,均有3种;而高不饱和脂肪酸的种类相对较多．两个子湖的脂肪酸均以饱和脂肪酸为主,高不饱和脂肪酸浓度相对较低．对于单一的脂肪酸种类来说,C16：0浓度最高,其浓度与蓝藻数量有很高的相关性(R^2=0．955,P=0．001),表明样品中的C16：0主要来源于蓝藻．而富含EPA(二十碳五烯酸)的硅藻和隐藻生物量高时其浮游植物的EPA浓度也较高;在中心湖中高浓度的DHA(二十二碳六烯酸)主要来源于金藻总之．两个子湖泊的脂肪酸组成与浮游植物群落结构特征基本一致．     

The use of phytoplankton patterns of diversity for algal bloom management

Many biotic and abiotic processes contribute to variability in phytoplankton diversity in aquatic ecosystems. Depending on their intensity and on their frequency, these may drive non-equilibrium dynamics and enhance the species diversity. Different studies propose that biodiversity buffers ecosystem functioning against environmental fluctuations leading to more predictable aggregate community or ecosystem properties. Salto Grande reservoir is polymictic and eutrophic with recurrent summer cyanobacterial blooms. The aim of this study was to determine the key variable(s) related with phytoplankton diversity in order to predict the possible occurrence of an algal bloom at the ecosystem. A preliminary analysis of the data matrix suggested non-linear relationships between diversity and the selected variables: phytoplankton abundance and the vertical attenuation coefficient (Kd). The best function fitting of the scatter plot of phytoplankton diversity versus phytoplankton abundance was a rational function. The inflection point of phytoplankton diversity estimated by the second derivate of this function was 2.7 bit cell⁻¹ which corresponded to an abundance of 3000 cells ml⁻¹. The relationship of phytoplankton diversity and vertical attenuation coefficient values also show a humped distribution pattern (Gauss function). The inflection point of this function corresponded to a diversity value of 1.9 bit cell⁻¹ and 2.5 m⁻¹ for Kd. These inflection points were, respectively, related with the resource competition among the present species and the light limitation conditions. The showed patterns of diversity and the estimated threshold values could be integrated to construct a predictive model for the reservoir based on phytoplankton diversity and the probable ambient conditions of the reservoir.     

Seasonal dynamics of phytoplankton with relation to physicochemical water parameters above and below the hydroelectric plant on the Pasłęka River (North-East Poland)

The study of seasonal dynamics of net phytoplankton was carried out above and below the hydroelectric plant (HP) on the Pas ka River. Correlations were found between the abundance of diatoms and conductivity, O₂, PO₄; the abundance of cyanobacteria and water temperature and conductivity, and the abundance of chlorophytes and O₂ and N_tot. Multiple correlations revealed the most significant factor for diatom development is PO₄, for cyanobacteria is water temperature, and for chlorophytes is N_tot. A lower abundance and biomass of phytoplankton, and less species diversity and nutrient concentrations were registered below the HP than above it. The seasonal dynamics of phytoplankton abundance provided similar results. The maximum biomass of the assemblage was found earlier below the HP, in April, than above it, in May. However, no differences were recorded in the dominant species within phytoplankton abundance. The phytoplankton biomass was dominated by the Melosira varians and Spirogyra sp., which are typical taxa of plant periphyton and possibly emanate from the concrete elements of the dam. This HP changed the local hydrological and environmental conditions, affecting available nutrients, and thereby phytoplankton development in the vegetative season.     

Asynchrony of spring phytoplankton response to temperature driver within a spatial heterogeneity bay of Three-Gorges Reservoir, China

The increased air temperature is expected to have important driver on spring phytoplankton dynamics. To test whether spatial heterogeneity modifies the synchronous responses of phytoplankton to regional temperature driver, we evaluate temporal coherences for physical factors (temperature, water stability and non-algal light extinction), nutrients (nitrogen, phosphorus and silicon), and biomass and density of phytoplankton by Pearson correlation analysis and synchrony for phytoplankton community dynamics by Mantel test and nonmetric multi-dimensional scaling (NMS), during spring bloom (February 23–April 28, 2005) within Xiangxi Bay, a high spatial gradient bay of Three-Gorges Reservoir (China). The high level of temporal coherences for surface water temperature (r = 0.946, p < 0.01) and relative water column stability (r = 0.750, p < 0.01) were found between pair sites (A and B), in which the increase trends occurred with increase in regional air temperature during the study period. However, the low synchrony for phytoplankton dynamics were indeed observed between Site A and B, especially for the density of common dominant taxa (Cyclotella spp.: r = 0.155, p = 0.388) and community structure (Mantel test: r = 0.351). Moreover, the local habitat characteristics such as nutrient (nitrogen and phosphorus) and non-algal light extinction showed low levels of temporal coherence. It indicated that local community of phytoplankton varies rather independently within the single lentic bay with high spatial heterogeneity and that dispersal of algal organisms among locations cannot overwhelm out these local dynamics. Contrary to many studies, the present results argued that, in a small geographic area (i.e., a single reservoir bay of approximately 24 km length), spatial gradients also may influence spring phytoplankton response to regional temperature driver.     

贵州高原水库冬季浮游植物中汞及甲基汞分布特征

为了解贵州高原水库浮游植物中汞和甲基汞的分布特征及浮游植物对汞及甲基汞的富集特点,于2012年12月对贵州省的5座高原水库中浮游植物和汞形态进行采样调查.研究结果表明:冬季贵州高原水库浮游植物群落主要是由硅藻组成,5座水库浮游植物丰度有明显差异.百花湖大坝处浮游植物丰度最高,为29.05×104cells/L;三板溪水库浮游植物丰度最低,仅为0.49×104cells/L.浮游植物中总汞和甲基汞的浓度分别在29.29~277.07 ng/g和1.12~10.93 ng/g之间,总汞含量以百花湖岩脚寨最高,甲基汞含量以百花湖大坝最高.总汞和甲基汞在浮游植物中的生物富集系数分别在1.42×104~9.78×104和3.10×104~4.43×105之间.在浮游植物富集无机汞及甲基汞的系数中,百花湖中浮游植物对无机汞生物富集系数最高,而红枫湖中浮游植物对甲基汞的生物富集系数最高.浮游植物种类组成不同对汞及甲基汞的生物富集有影响.浮游植物中的总汞与水体中的总汞、甲基汞和溶解态甲基汞都存在显著的相关关系,浮游植物中的甲基汞与水体中的总汞及甲基汞不存在显著相关性.甲基汞在浮游植物中富集不是简单的吸收,存在着影响甲基汞在浮游植物中富集的其它因素.浮游植物中的甲基汞与水体富营养化环境因子(透明度、总氮、硝氮)均呈负相关关系,表明水体富营养化的程度不同对浮游植物中的甲基汞浓度有影响.