Microeukaryotic community structure and diversity in Xiamen offshore waters and Shenhu Bay, Fujian

微型真核浮游生物是海洋生态系统的重要组成成分，同时在海洋经典食物链和微食物网中发挥重要作用。该类群个体较小，对环境变化较为敏感，作为生产者、消费者和分解者的微型真核浮游生物在海洋生态系统的生物地球化学过程和生态健康评价等方面有着重要意义。本研究选择厦门岛近海海域和福建省泉州市深沪湾为例，对目标海区进行微型真核浮游生物样品的釆集，运用变性梯度凝胶电泳（DGGE）、克隆测序和高通量测序技术方法对微型真核浮游生物群落组成和多样性进行研究，分析其时空分布和群落结构特征,揭示影响微型真核浮游生物群落时空变动的主要环境因素。主要研究结果如下: 1）厦门岛近海海域水体环境条件较为复杂，各站位具有不同的环境...Microeukaryotic plankton are important components of marine aquatic environments and play key roles in marine classical food chain and microbial food webs. Moreover, most microeukaryotic plankton assemblages, such as phytoplankton, are susceptible to environmental deterioration and pollution. Therefore, these microorganisms make ideal biomonitors to evaluate the ecosystem status of marine waters. ...学位：理学硕士院系专业：海洋与地球学院_海洋生物学学号：2232012115134

Ecological Research on Tintinnids in Tieshan Harbour,Guangxi

通过采集广西铁山港海域2010年春夏季8个站点16个样品,依据壳体形态特征对样品中砂壳纤毛虫进行了分类鉴定,对春夏季节砂壳纤毛虫的种类组成、种类的季节分布、丰度、优势种、多样性指数、均匀度指数等进行了生态学描述,并对砂壳纤毛虫群落结构与环境理化因子之间的关系进行了研究。结果表明:该海域共鉴定出砂壳纤毛虫6属15种,其中以拟铃虫属和薄铃虫属为主;春季各站点砂壳纤毛虫的平均丰度值为4 385.6Ind/M3,优势种有简单薄铃虫、诺氏薄铃虫、巴拿马网纹虫,夏季各站点砂壳纤毛虫平均丰度值为13 967.3Ind/M3,优势种有根状拟铃虫、坚果拟铃虫、简单薄铃虫、诺氏薄铃虫、妥肯丁拟铃虫;砂壳纤毛虫种类数、丰度、多样性指数和均匀度指数等均呈现夏季高于春季的总体态势,其中春季丰度呈现斑块分布,而夏季丰度则呈现出由近岸向远岸逐渐递减的趋势;聚类分析和多维尺度分析将16个站点的砂壳纤毛虫群落分为两组,春季组和夏季组,各自具有明显的季节特征;冗余分析显示,夏季溶解性有机碳、温度和总氮是影响该海域砂壳纤毛虫群落组成的主要环境理化因子,与种群数量有显著的正相关关系,而春季群落结构则受氨氮、碱度和溶解氧的影响较大。This paper investigates tintinnids in water samples taken from Tieshan Harbour sea area in Guangxi in spring and summer of 2010.Totally 15species are found,in which genera Tintinnopsis and Leprotintinnus are in dominance.In April,the average abundance of tintinnids is 4 385.6ind/m3 and the dominant species are Leprotintinnus simplex,Leprotintinnus nordqvist and Favella panamensis.In August,the average abundance of tintinnids is 13 967.3ind/m3 and the dominant species are Tintinnopsis radix,Tintinnopsis nucula,Leprotintinnus simplex, Leprotintinnus nordqvisti and Tintinnopsis tocantinensis.In this investigation,the species number,abundance,diversity and evenness in summer are higher than those in spring.The abundance distributes in patches in spring,and is higher in coastal water than in offshore water in summer.In the cluster and multidimensional scaling analysis, tintinnids community from 16stations is divided into two groups,spring group and summer group with seasonal characters respectively.Redundancy analysis reveals that DOC,temperature and TN are the main factors influencing tintinnids community composition in Tieshan Harbour sea area with great positive correlation in summer.In spring, however,ammonia nitrogen,alkalinity and dissolved oxygen have great influence on the community composition.国家自然科学基金项目(41276133、J1210050); 海湾公益项目(201005012); 海洋局专项项目(530-03-02-02-03); 厦门大学基础创新科研基金项目(中央高校基本科研业务费专项资金项目)(CXB2011020

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies