OBSERVATIONS ON PHYTOPLANKTON PRODUCTIVITY IN RELATION TO HYDROGRAPHY IN THE NORTHERN ADRIATIC

This work, carried out within the framework of the PRISMA II project, aims at evaluating the effects of the Po River flow on primary productivity, measured by C with in situ sample incubations. A total of four cruises was carried out in late winter and early summer (1996-1998) along transects from the coast offshore. In both seasons, the highest primary productivity was found in the most oligohaline stations. The effects of the Po River inputs were therefore clearly evident in the westernmost area, both in high productivity values and in the shape of productivity profiles. In late winter, extensive blooms of Skeletonema costatum and Pseudo-nitzschia delicatissima resulted in productivity values that were sometimes higher than in early summer. In early summer 1996, greatly reduced river flow clearly influenced productivity which was much lower than in 1997.     

区域水环境生物学评价浅析

本文论述了辽河三角洲区域地面水系浮游植物的种类分布，根据调查获得的生态学资料，探讨了其群落结构特征及其与水体环境质量的关系，运用“Ｓｈａｎｎｏｎ—Ｗｅａｖｅｒ多样性指数法”对区域水体质量进行了分类评价，并研究了浮游植物的多样性指数与水质理化污染指标之间的关系．     

以浮游植物评价金堂水库富营养化

通过对浮游植物的生物量、优势种、初级生产力、叶绿素ａ等指的分析，判断金堂水库质已达富营养化水平；网箱养鱼是产生富营养化的主要原因；富营养化对水库功能的不利影响将是很骓消除的。     

Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Numerous studies support that biodiversity predict most to ecosystem functioning, but whether other factors display a more significant direct impact on ecosystem functioning than biodiversity remains to be studied. We investigated 398 samples of the phytoplankton phosphorus resource use efficiency (RUE_P = chlorophyll-a concentration/dissolved phosphate) across two seasons in nine plateau lakes in Yunnan Province, China. We identified the main contributors to phytoplankton RUE_P and analyzed their potential influences on RUE_P at different lake trophic states. The results showed that total nitrogen (TN) contributed the most to RUE_P among the nine lakes, whereas community turnover (measured as community dissimilarity) explained the most to RUE_P variation across the two seasons. Moreover, TN also influenced RUE_P by affecting biodiversity. Species richness (SR), functional attribute diversity (FAD2), and dendrogram-based functional diversity (FDc) were positively correlated with RUE_P in both seasons, while evenness was negatively correlated with RUE_P at the end of the rainy season. We also found that the effects of biodiversity and turnover on RUE_P depended on the lake trophic states. SR and FAD2 were positively correlated with RUE_P in all three trophic states. Evenness showed a negative correlation with RUE_P at the eutrophic and oligotrophic levels, but a positive correlation at the mesotrophic level. Turnover had a negative influence on RUE_P at the eutrophic level, but a positive influence at the mesotrophic and oligotrophic levels. Overall, our results suggested that multiple factors and nutrient states need to be considered when the ecosystem functioning predictors and the biodiversity-ecosystem functioning relationships are investigated.     

Impoundment Productivity in the Prudhoe Bay Oil Field, Alaska: Implications for Waterbirds

a ), and nutrient availability (phosphorus and nitrogen). High variability in these limnological characteristics, particularly among impoundments, obscured potential differences between impoundments and ponds. No significant differences were found in chlorophyll or nutrient concentrations, and in only two cases were there differences in invertebrate production: gastropods were significantly more abundant in impoundments than in ponds in June, and trichopterans were significantly more abundant in impoundments than in ponds in July. For comparisons within impoundments and ponds, there were significant differences in invertebrate abundance between habitats and between wetland types. For example, plecopterans, trichopterans, and gastropods (all taxa combined) were consistently more abundant in shallow–Arctophila impoundments and ponds than in shallow–Carex impoundments and ponds. Thus, ponds and impoundments may differ significantly in invertebrate production, but we lack information on the amount of different habitat types (i.e., center versus emergent vegetation, Carex versus Arctophila) used by these taxa within each water body type. It is a reasonable speculation, based on results of this study, that impoundments and ponds may have similar value as feeding habitat for invertebrate-eating waterbirds. Thus the presence of impoundments may be consistent with waterbird management goals on the Arctic Coastal Plain.     

湖泡水库浮游植物调查与生物学分析例说

本文通过2006～2010年五年间对水质生物学评价指标一浮游植物种类和数量的变化来评价红旗水库水质的现状,得出红旗水库水质属于轻污一中污染水体,但仍然符合饮用水源地标准。     

南岔湖夏季浮游植物初报

对2013年夏季南岔湖的浮游植物进行了初步研究,共鉴定初浮游植物6门,8纲,13目,24科,43属,共94个分类单位。其中优势种6种。南岔湖水体属于中污染。     

鄱阳湖平原区农村门塘浮游藻类群落特征及其生物学评价

于2018年—2019年在鄱阳湖区周边选取4个县（区）10个村庄的典型门塘开展浮游藻类采样调查。研究共鉴定出藻类6门83种,以蓝藻门、绿藻门和硅藻门为主;浮游藻类细胞密度全年范围为7.30×104个/L～2.78×1011个/L,年均值为1.4×1010个/L,其中夏季细胞密度最大,冬季细胞密度最小;优势种主要有小环藻、微囊藻、铜绿微囊藻、卵形隐藻等,且具有较为明显的季节演替,全年优势种为小环藻;藻类多样性指数（H′）年均值为1.49,丰富度指数（M）年均值为1.92,全年水体生物学评价结果为中度污染。     

淀山湖浮游植物营养限制因子的研究

通过藻类增长的生物学评价(Nutrient Enrichment Bioassay)研究淀山湖浮游植物生长限制性因子,并采用析因方差分析和事后比较方法分析营养盐（PO^3-₄P、NH₃N、NO^-₃N）对浮游植物生长速度、平均最大现存量和平均最大特定增长率的影响。研究表明：磷对浮游植物生长有明显的促进作用,能提高浮游植物的生长速度和现存量,且促进作用随磷浓度（0.13～0.53 mg/L）的增加而加强,磷是淀山湖浮游植物增长的第一限制性因子;低浓度硝氮（2.91～5.91 mg/L）对浮游植物生长有微小的促进作用,但高浓度（5.91～8.91 mg/L）的硝氮表现出抑制作用;氨氮对浮游植物生长有抑制作用,并随浓度（1.25～7.25 mg/L）的增加而增大;添加磷+硝氮能明显促进浮游植物生长,磷与硝氮之间存在一定的交互作用.     

Step-up multiple regression model to compute Chlorophyll a in the coastal waters off Cochin, southwest coast of India

The interaction effects of abiotic processes in the production of phytoplankton in a coastal marine region off Cochin are evaluated using multiple regression models. The study shows that chlorophyll production is not limited by nutrients, but their physiological regulations (responses to nutrients, pH, temperature and salinity) are mainly responsible for the increased biological production. The model explaining 77% of variability for chlorophyll a production is indicative of preconditioning of the coastal waters. The phytoplankton production is found to be sensitive to the environment, which varies seasonally. Further, the study suggests that supply of organic matter and grazing of zooplankton (not included) would improve the model efficiency. Despite this, the good agreement in the computed and measured chlorophyll a values shows that step-up multiple regression model is a useful tool to understand the influence of environmental variables on the production of phytoplankton in these coastal waters.