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| 1 | 有害藻华的宏条形码分析:机会与挑战显示文摘宏条形码分析(metabarcoding analysis)是通过对野外样本的分子标记(即条形码)进行PCR扩增、测序,并利用测序结果分析野外样本物种组成、物种相对丰度,及其时空动态变化。这项在近20年里逐步发展起来的分子技术,得益于DNA测序技术的快速发展,包括测序通量的提升和测序成本的降低,以及生物信息学分析方法的快速开发。基于可操作分类单元(operational taxonomic units,OTUs)分析方法,特别是最近的扩增子序列变异(amplicon sequence variants,ASVs)方法的开发,极大促进了宏条形码分析的应用。在世界及我国的海洋生态领域,宏条形码分析的应用还处于起步阶段。随着分析方法的日趋成熟,可适用于不同应用领域的分子标记不断增加,以及参考数据库的不断完善,宏条形码分析将释放出广阔的应用潜力。可以预期,宏条形码分析将在系统分析我国近岸海域有害藻华物种(及其他浮游生物物种)的组成和相对丰度中起关键作用,通过发现新物种,辨别隐存种,跟踪物种的生物地理学,进而帮助解析有害藻华暴发机理。 | 陈楠生 | 2020 | 海洋科学2020，44，7： | 11 |
| 2 | Spatio-temporal variability of phytoplankton assemblages and its controlling factors in spring and summer in the Subei Shoal of Yellow Sea, China显示文摘The Subei Shoal is a special coastal area with complex physical oceanographic properties in the Yellow Sea.In the present study,the distribution of phytoplankton and its correlation with environmental factors were studied during spring and summer of 2012 in the Subei Shoal of the Yellow Sea.Phytoplankton species composition and abundance data were accomplished by Utermohl method.Diatoms represented the greatest cellular abundance during the study period.In spring,the phytoplankton cell abundance ranged from 1.59×10^3 to 269.78×10^3 cell/L with an average of 41.80×10^3 cell/L,and Skeletonema sp.and Paralia sulcata was the most dominant species.In summer,the average phytoplankton cell abundance was 72.59×10^3 cell/L with the range of 1.78×10^3 to 574.96×10^3 cell/L,and the main dominant species was Pseudo-nitzschia pungens,Skeletonema sp.,Dactyliosolen fragilissima and Chaetoceros curvisetus.The results of a redundancy analysis(RDA)showed that turbidity,temperature,salinity,pH,dissolved oxygen(DO),the ratio of dissolved inorganic nitrogen to silicate and SiO4-Si(DIN/SiO4-Si)were the most important environmental factors controlling phytoplankton assemblages in spring or summer in the Subei Shoal of the Yellow Sea. | Yuanzi Huo Honghua Shi Jianheng Zhang Qiao Liu Yuanliang Duan Qing He Kefeng Yu Hongsheng Bi Chunlei Fan Peimin He | 2019 | Acta Oceanologica Sinica2019，38，10： | 4 |
| 3 | Distribution and controlling factors of phytoplankton assemblages associated with mariculture in an eutrophic enclosed bay in the East China Sea显示文摘The distribution of phytoplankton and its correlation with environmental factors were studied monthly during August 2012 to July 2013 in the Yantian Bay. A total of 147 taxa of phytoplankton were identified, and the average abundance was in the range of 0.57×10~4 to 7.73×10~4 cell/L. A total of 19 species dominated the phytoplankton assemblages, and several species that are widely reported to be responsible for microalgae blooms were the absolutely dominant species, such as Skeletonema costatum, Navicula sp., Thalassionema nitzschioides,Pleurosigma sp., and Licmophora abbreviata. The monthly variabilities in phytoplankton abundance could be explained by water temperature, dissolved oxygen, salinity, dissolved inorganic nitrogen(DIN), and suspended solids. The results of a redundancy analysis showed that p H and nutrients, including DIN and silicate(SiO_4), were the most important environmental factors controlling phytoplankton assemblages in specific months. It was found that nutrients and pH levels that were mainly influenced by mariculture played a vital role in influencing the variation of phytoplankton assemblages in the Yantian Bay. Thus, a reduction of mariculture activities would be an effective way to control microalgae blooms in an enclosed and intensively eutrophic bay. | HUO Yuanzi WEI Zhangliang LIU Qiao YANG Fangfang LONG Lijuan ZHANG Qi BI Hongsheng HE Qing HE Peimin | 2018 | Acta Oceanologica Sinica2018，37，8： | 3 |
| 4 | 2021年夏季珠江口颗粒有机碳空间分布特征及其影响因素显示文摘颗粒有机碳(POC)是河口碳循环的关键变量之一,厘清其空间分布特征及影响因素是开展河口碳循环研究的重要基础。本文研究了2021年7月(珠江丰水期)珠江口大范围区域和不同水层POC浓度空间分布,探究了盐度、悬浮颗粒物浓度(SPM)和浮游植物类脂生物标志物总浓度(ΣPB,包含菜籽甾醇、甲藻甾醇和C 37长链烯酮)等因素对POC空间分布的影响。结果表明,研究区域POC浓度为0.05~0.85 mg/L,均值(0.29±0.19)mg/L,总体呈现近岸浓度高、河口外部区域浓度低的分布趋势,高值区集中在磨刀门近岸海域和香港地区南部海域。垂直分布上,POC平均浓度随着深度的增加先减小再增加,但不同断面间存在差异。A断面(黄茅海-珠江口外侧)POC浓度最大值出现在近岸及叶绿素最大层,B断面(磨刀门-珠江口外侧)POC浓度最大值出现在表层,C断面(伶仃洋-珠江口外侧)大部分站位垂直分布较均匀。POC空间分布受到多种环境和生物因素的显著影响。在某些海域和水层,温度、浊度、溶解氧、营养盐浓度、SPM以及ΣPB等参数与POC浓度具有显著正相关,而盐度与POC浓度具有显著负相关。盐度与POC浓度在整个研究区域具有极显著负相关,这与高盐度引起悬浮物絮凝沉降、海水稀释作用以及陆源输入等因素有关。SPM与POC浓度在底层水和伶仃洋海域显著正相关,表明表层沉积物再悬浮作用对POC空间分布有着直接影响。ΣPB与POC浓度在整个研究区域极显著正相关,表明浮游植物生物量是影响POC空间分布的主要因素。研究结果为丰富珠江口有机碳研究资料、深入研究河口碳循环过程与机制提供重要基础。 | 包孝涵 毕蓉 朋鹏 李超 张海龙 金贵娥 赵美训 | 2023 | 中国海洋大学学报(自然科学版)2023，53，12： | 0 |
| 5 | El Niño影响下珠江口及其邻近海域营养盐时空变化及其生态效应显示文摘2019—2020年在珠江口开展了四季水体营养盐和环境因子的现状调查.结果发现,与常年(多年平均)不同,El Niño影响下华南地区及广东省前汛期降水量显著增大,春季珠江入海径流大于夏季,水体平均盐度为26.56,低于夏季(30.61),非汛期(秋、冬季)降水量和入海径流急剧减少,秋季平均盐度(32.39)最大.四季溶解无机氮(DIN)平均浓度排序为春季(0.38 mg·L^(-1))>夏季(0.18 mg·L^(-1))>冬季(0.16 mg·L^(-1))>秋季(0.08 mg·L^(-1)),磷酸盐(DIP)平均浓度排序为冬季(0.009 mg·L^(-1))>夏季(0.006 mg·L^(-1))>春季(0.004 mg·L^(-1))和秋季(0.004 mg·L^(-1)),DIN和DIP浓度整体自珠江口上游向近海逐渐降低,主要受控于珠江冲淡水,同时受陆架水入侵和浮游植物繁殖消耗等因素影响.春季叶绿素a平均浓度为4.2μg·L^(-1),秋、冬季分别为2.5μg·L^(-1)和2.1μg·L^(-1),均大于1.7μg·L^(-1)(夏季),春、夏季高值区主要位于磨刀门口和万山群岛附近海域,秋、冬季水温升高和上游区域透明度增大,叶绿素a高值区明显北移至万山群岛北侧和上游区域.四季珠江口海域浮游植物繁殖主要是磷限制,且磷限制潜在性富营养状态主要位于伶仃洋海域,自北向南过渡为磷限制中度营养状态,至近海为贫营养状态. | 马玉 张伟杰 李锐祥 朱鹏利 牟健 刘长建 张金尚 苏锡宝 梁宇钊 曾芳 | 2023 | 环境科学学报2023，43，5： | 0 |
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