The effects of spring-neap tide on the phytoplankton community development in the Jiaozhou Bay, China

The development of the phytoplankton community was studied in the Jiaozhou Bay during the spring to neap tide in August 2001, through three cruises and a 15 d continuous observation. This investigation indicates that diatom cell abundance increased sharply following the end of a spring tide, from 9 cells/cm^3 to a peak of 94 cells/cm^3. The dominant species composition and abundance show a quick species sequence from spring to neap tide, and the dominant species at the start phase is Skeletomena costatum, then changes to Chaetoceros curvisetus, finally it changes to Eucampia zodiacus. Silicate concentration increases during spring tide, as a result of nutrient replenishment from the water-sediment interface, its initial average concentration in neap tide is 1.39μmol/dm^3 and reached the peak average concentration of 8.40μmol/dm^3 in spring tide. But the nitrogen concentration dropped due to dilution by the low nitrogen seawater from the Huanghai Sea, its initial average concentration in neap tide is 67μmol/dm^3 and decreased to the average concentration of 54μmol/dm^3 in spring tide. The degree of silicon limitation was decreased and phytoplankton, especially diatoms, responds immediately after nutrient replenishment in th ewater column. Skeletonmea costatum, as one of the dominant species in the Jiaozhou Bay, shows a quicker response to nutrient availability than Eucampia zodiacus and Chaetoceros curvisetus. It is proposed that dominant species composition and water column stability synchronously determine the development of phytoplankton summer blooms in the Jiaozhou bay.     

长江口和杭州湾海域生物生产力锋面及其生态学效应

通过分析海洋生态学资料并结合卫星遥感、渔场及赤潮等资料,发现长江口和杭州湾及其毗邻海域生物生产力的锋面,在离长江口门和杭州湾口约100 km的长江冲淡水中部海域出现蓝细菌丰度、浮游植物现存量和初级生产力以及浮游动物的最大值,该锋面的存在和位置被水色遥感所确认.光和营养盐在此呈现最佳的权衡.在该锋区悬浮体浓度小于5 mg/dm3,盐度为25～30.在该锋面的西侧高的悬浮体浓度造成了浮游植物的光限制,其东侧距长江口和杭州湾口较远,陆源营养盐被稀释,加之浮游植物的消耗,造成了营养盐的限制.夏季水体的层化,增强了水体的垂直稳定,使这种分布格局更加显著.由于细菌多附着在悬浮颗粒物的表面,细菌丰度的最大值出现在近口门区的最大浊度带,在向外海方向随着悬浮体的沉降细菌丰度迅速降低.在生物生产力锋面,浮游植物的旺发导致水体跃层之上高溶解氧浓度和低营养盐浓度,尤其是PO4被耗尽,同时浮游动物饵料的丰富,造成浮游动物旺发;由于蓝细菌的快速增殖,其流式细胞测定的细胞粒径变小.生物生产力锋面的出现产生了显著的生态学效应,一方面造成某些经济鱼类产卵和索饵场的形成,例如鲐鲹鱼、马鲛鱼等;另一方面造成赤潮多发区和底层水缺氧区.     

南极长城站码头及临近海域夏季叶绿素a含量及变化

本文报道了1999年12月-2000年3月期间南极长城站码头叶绿素a的含量及变化,调查期间叶绿素a含量较高,平均值为2.16mg/m3,变化范围为0.60-7.67mg/m3。高值出现在月初和月中,低值出现在月上旬,这是潮汐所至。而营养盐的含量较高且变化较大,但PO4P的含量较低,且变化不明显。营养盐的浓度由高到低依次为NO3N>NH4N>NO2N>PO4P。     

砷污染治理背景下阳宗海浮游植物生物量的时空分布模式及驱动因子

在社会经济发展和流域开发持续的背景下,砷污染已成为我国部分水体面临的重要环境问题,目前对砷污染防控的生态效应与修复效果评价仍缺乏系统识别。湖泊生态系统中浮游植物是重要的生产者,砷等重金属污染可以直接影响浮游植物生长、物种演替和初级生产力水平,浮游植物已成为指示砷污染水平及其生态效应的敏感指标。本研究以长期受到砷污染胁迫并经历污染治理的阳宗海为研究对象,设置南、中、北3个调查位点,于2015年4月-2019年12月对浮游植物和水质因子开展季节调查和空间分析,通过识别浮游植物生物量的时空分布模式与驱动因子,评价了砷污染与治理下浮游植物生物量的变化机制和生态修复效果。调查结果显示,采样期间阳宗海浮游植物以蓝藻门为主,浮游植物的生物量范围为0.7~30.4 mg/L,平均生物量在2016年最低((3.0±1.8) mg/L)、在2017年最高((10.5±8.9) mg/L)。ANOVA分析结果显示,浮游植物生物量存在显著的季节差异而空间差异不明显。相关分析结果显示,阳宗海浮游植物生物量与砷浓度和透明度呈显著负相关,而与水体温度和pH呈显著正相关。多元线性回归分析进一步显示,砷和水温是驱动阳宗海浮游植物生物量变化的显著环境因子。由此可见,在重金属污染湖泊经过修复后,水体砷遗留物的毒性效应仍然对浮游植物生长产生了明显的抑制作用,表明了水体重金属污染物可能具有长期的沉积物释放作用与持久的生态毒理效应。     

西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子

为了解西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子,于2021年7月、10月和2022年5月在拉鲁湿地主要水系进行定性和定量样品采集,共采集浮游植物水样126个,从不同季节和不同生境浮游植物种类组成、多样性等方面入手,探讨拉鲁湿地浮游植物群落时空分布特征及其驱动因子,为研究拉鲁湿地生态系统和稳定发展提供基础资料。结果表明:1)拉鲁湿地共鉴定出浮游植物532种(含变种和变型),隶属于8门13纲36目74科130属,物种组成表现为硅藻-绿藻-蓝藻型。2)拉鲁湿地浮游植物群落特征参数在不同季节和不同生境之间存在差异。夏季浮游植物群落的Shannon-Wiener多样性指数显著高于秋季和春季,Simpson优势度指数显著高于秋季。秋季浮游植物群落的Pielou均匀度指数显著低于夏季和春季。春季浮游植物群落的Margalef丰富度指数显著低于夏季和秋季。沼泽生境的浮游植物群落的Margalef丰富度指数显著高于湿草甸生境。3)季节是浮游植物群落组成差异的关键因素,生境对浮游植物群落组成的影响较弱,夏季的距离衰减模式比秋季和春季更强。4)拉鲁湿地不同的浮游植物群落参数与不同环境因子之间存在显著的关联。5)空间因素在解释浮游植物群落变异方面具有显著贡献,而快速变化的水质变量在决定浮游植物的季节变化中起着重要作用。季节和缓慢变化水质因子的解释能力相对较弱,但仍对浮游植物群落的变异有一定影响。     

上、下行效应对洱海浮游植物优势功能群的影响

浮游动物牧食、水温及营养可利用性均可影响优势浮游植物功能群的转变,但这些驱动因素的交互作用尚不清楚。为了解云南高原湖泊——洱海浮游植物优势功能群的分布特征及其主要驱动因素,于2018年1月2020年12月进行月度采样,结合聚类分析、方差分析和冗余分析等,分析驱动浮游植物优势功能群转变的主要因素。结果表明,共鉴定浮游植物7门96属,划分为27个浮游植物功能群,其中优势功能群有15个。聚类分析结果表明,根据浮游植物功能群密度数据可将优势功能群转变过程分为3个由不同类型藻类主导的时期（S期、M期和P期）,其中S期（为期18个月）以功能群S1和H1（代表藻为假鱼腥藻、浮丝藻和长孢藻等丝状蓝藻）为主,M期（为期10个月）以功能群M（微囊藻群体）为主,P期（为期8个月）以功能群P和M（脆杆藻和单个微囊藻等）为主。RDA分析及变差分解分析结果表明,卡尔森营养状态指数（TSI）（主要是总磷）是影响以丝状藻类为主的浮游植物功能群的主要驱动因素,TSI和水温是影响以微囊藻为主的浮游植物功能群的重要驱动因素。因此,在富营养化初期湖泊中,降低湖泊营养负荷是首要任务。同时可以考虑增加浮游动物丰度的策略,以增强浮...     

西北干旱区典型水库浮游植物群落结构特征及驱动因子

为了解西北干旱区水库浮游植物群落结构特征,并进一步探究浮游植物与环境因子之间的相关关系,于2017年对张掖境内不同分布区域的8座典型水库进行为期4个季度的采样调查.结果显示,调查期间共计检出浮游植物8门106属294种,其中硅藻门、绿藻门和蓝藻门占比分别为48.35％、26.64％和14.47％.浮游植物密度在0.3×...     

有机和常规农业管理方式下的浮游植物群落特征及其影响因素

为了解不同农业施肥管理方式对水体浮游植物群落的影响,本研究以江苏句容戴庄有机示范村和常规农业管理区池塘浮游植物为对象,分析冬夏两季浮游植物群落特征及相关水环境因子.结果表明：冬季有机和常规农业区域的浮游植物分别检到7门95种和7门111种,夏季分别检到7门102种和6门112种,有机农业区浮游植物由冬季的隐藻—绿藻型向夏季的蓝藻—绿藻型变化,常规农业区从隐藻—绿藻型向蓝藻—硅藻型变化,蓝藻逐渐取代隐藻的优势地位.夏季各池塘浮游植物alpha多样性没有显著的区域差异,但冬季常规农业区浮游植物物种丰富度、蓝藻和裸藻的Shannon-Wiener多样性指数显著较高.指示物种分析显示,谷皮菱形藻(Nitzschia palea)和梅尼小环藻(Cyclotella meneghiniana)为有机农业区指示物种,而梭形裸藻(Euglena acus)、针形纤维藻(Ankistrodesmus acicularis)、肘状针杆藻(Synedra ulna)和狭形纤维藻(Ankistrodesmus angustus)为常规农业区指示物种,此6种藻为中、富营养化藻类,说明水体氮磷营养盐浓度较高,这与...     

Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra

The absorption spectrum of phytoplankton is an important bio-optical parameter for ocean color hyperspectral remote sensing;its magnitude and shape can be aff ected considerably by pigment composition and concentration. We conducted Gaussian decomposition to the absorption spectra of phytoplankton pigment and studied the spectral components of the phytoplankton, in which the package effect was investigated using pigment concentration data and phytoplankton absorption spectra. The decomposition results were compared with the corresponding concentrations of the five main pigment groups (chlorophylls a , b , and c , photo-synthetic carotenoids (PSC), and photo-protective carotenoids (PPC)). The results indicate that the majority of residual errors in the Gaussian decomposition are <0.001 m^-1 , and R 2 of the power regression between characteristic bands and HPLC pigment concentrations (except for chlorophyll b) was 0.65 or greater for surface water samples at autumn cruise. In addition, we determined a strong predictive capability for chlorophylls a , c , PPC, and PSC. We also tested the estimation of pigment concentrations from the empirical specific absorption coeffi cient of pigment composition. The empirical decomposition showed that the Ficek model was the closest to the original spectra with the smallest residual errors.The pigment decomposition results and HPLC measurements of pigment concentration are in a high consistency as the scatter plots are distributed largely near the 1:1 line in spite of prominent seasonal variations. The Wozniak model showed a better fit than the Ficek model for Ch1 a , and the median relative error was small. The pigment component information estimated from the phytoplankton absorption spectra can help better remote sensing of hyperspectral ocean color that related to the changes in phytoplankton communities and varieties.     

Spatial variations of small phytoplankton contributions in the Northern Bering Sea and the Southern Chukchi Sea

Phytoplankton size classes (hereafter, PSCs) were derived from satellite ocean color data using a present phytoplankton abundance-based optical algorithm in the northern Bering and southern Chukchi Seas to characterize the spatial and seasonal variations of the different PSC and investigate the contributions of small phytoplankton to the total phytoplankton biomass. The comparison results showed that the phytoplankton abundance-based method approach could reasonably classify the three PSCs (pico-, nano-, and micro phytoplankton). The satellite maps of the dominant PSCs were derived using long-term satellite ocean color data. The general spatial distribution showed that the large (micro-) phytoplankton were dominant in the coastal waters and the west side of the Bering strait, while the small size (nano- or pico-) phytoplankton were dominant in the open ocean waters. Nano- and microphytoplankton were dominant in May and October in most of the study area, while pico-phytoplankton were dominant in the summer months in the open ocean waters. The annual variation in small phytoplankton dominance had a strong positive relationship with the annual mean sea surface temperature (SST), which is consistent with the increasing dominance of small phytoplankton biomass as water temperature increases. Microphytoplankton have an apparent increasing trend in the southeastern Chukchi Sea but slightly decreasing trends in Chirikov and St. Lawrence Island Polynya (SLIP). In contrast, there were increasing trends in picophytoplankton in Chirikov and SLIP, which seems to be related to increasing annual SST. It is crucial to monitor changes in dominant groups of phytoplankton community in the Bering and Chukchi Seas as important biological hotspots responding to the recent changes in environmental conditions.