热带太平洋-印度洋上层热含量年际变化的主模态

利用多种海洋资料,采用经验正交函数分解(EOF)与合成分析等方法研究了热带太平洋-印度洋热含量年际变化的主要模态及其对应的转换过程。结果表明其第一模态对应El Nino事件成熟位相时的空间分布,即热带西太平洋和东印度洋为一冷中心,西南印度洋和赤道东太平洋为暖中心;第二模态对应着El Nino事件过渡期的空间分布,太平洋10°N附近以及赤道带为变化中心,而印度洋的变化中心主要在苏门答腊岛西部的赤道东印度洋海区。这2个模态基本刻画了ENSO循环过程中热带两大洋热含量变化的关键海区。利用合成分析结果与EOF分解结果的相似性,探讨了EOF分解前两个模态之间的转换过程,发现第一模态可能主要是通过海洋波动的传播过程调整到第二模态的,而第二模态还可以作为El Nino或La Nina事件的预报因子。此外,分析结果还表明,El Nino事件与La Nina事件对应的热含量变化并不是反对称的。     

2008年夏季加拿大海盆净二氧化碳吸收量评估

The third Chinese National Arctic Research Expedition(CHINARE) was conducted in the summer of 2008.During the survey,the surface seawater partial pressure of CO_2(pCO_2) was measured,and sea water samples were collected for CO_2 measurement in the Canada Basin.The distribution of pCO_2 in the Canada Basin was determined,the influencing factors were addressed,and the air-sea CO_2 flux in the Canada Basin was evaluated.The Canada Basin was divided into three regions:the ice-free zone(south of 77°N),the partially ice-covered zone(77°–80°N),and the heavily ice-covered zone(north of 80°N).In the ice-free zone,pCO_2 was high(320 to 368μatm,1 μatm=0.101 325 Pa),primarily due to rapid equilibration with atmospheric CO_2 over a short time.In the partially ice-covered zone,the surface pCO_2 was relatively low(250 to 270 μatm) due to ice-edge blooms and icemelt water dilution.In the heavily ice-covered zone,the seawater pCO_2 varied between 270 and 300 μatm due to biological CO_2 removal,the transportation of low pCO_2 water northward,and heavy ice cover.The surface seawater pCO_2 during the survey was undersaturated with respect to the atmosphere in the Canada Basin,and it was a net sink for atmospheric CO_2.The summertime net CO_2 uptake of the ice-free zone,the partially ice-covered zone and the heavily ice-covered zone was(4.14±1.08),(1.79±0.19),and(0.57±0.03) Tg/a(calculated by carbon,1Tg=10~(12) g),respectively.Overall,the net CO_2 sink of the Canada Basin in the summer of 2008 was(6.5±1.3) Tg/a,which accounted for 4%–10% of the Arctic Ocean CO_2 sink.     

浙江6个列岛大型底栖藻类分类多样性

本文基于对七星列岛大型底栖藻类的实地调查,结合浙南3个列岛(七星列岛、南麂列岛和洞头列岛)和浙北3个列岛(渔山列岛、中街山列岛和马鞍列岛)大型底栖藻类物种组成的有关文献,构建大型底栖藻类基础数据库。采用平均分类差异指数△~+、分类差异变异指数∧~+、G-F多样性测度指数和相似性系数开展分类多样性研究。结果显示:6个列岛藻类在目级和科级的相似性很高,其值均在0.800以上;洞头列岛的△~+值最高(77.42),中街山列岛最低(72.65),这表明洞头列岛大型底栖藻类类群间的亲缘关系较远,中街山列岛藻类类群间的亲缘关系较近;七星列岛的∧~+值最高,达942.00,南麂列岛最低,仅865.12,这表明南麂列岛大型底栖藻类在不同分类阶元分布最均匀,七星列岛的藻类分布较集中;南麂列岛无论是F指数、G指数还是G-F指数的值均比其他5个列岛高,依次为18.62,4.40和0.76,这说明南麂列岛藻类的生态位分化程度较高。本研究构建了6个列岛大型底栖藻类资源与分类多样性基础数据库,为有效保护和管理大型底栖藻类提供了理论依据。     

东海渔山列岛浅海岩礁区大型消费者食源及营养级分析

采用碳氮稳定性同位素技术分析了东海渔山列岛浅海岩礁区生物的碳氮稳定性同位素比值,研究了浅海岩礁区14种初级生产者、61种消费者的营养级。结果表明,东海渔山列岛浅海岩礁区消费者的营养级(TL)变化范围为2.000—4.760,推断东海渔山列岛浅海岩礁区生物有4个营养级;初级生产者δ~(15)N值变化范围为2.75‰—6.85‰,消费者δ~(15)N值变化范围为4.57‰—13.39‰;通过对不同生物δ~(15)N值的比较发现,各类别生物间的δ~(15)N值差异高度显著(P0.01),短滨螺(Littorina brevicula)的δ~(15)N值最低(4.57‰),中国花鲈(Lateolabrax maculatum)和黑鲷(Acanthopagrus schlegelii)的δ~(15)N值最大,分别为11.87‰和13.39‰;单因素方差分析(One-Way ANOVA)表明4类食源间δ~(15)N和δ~(13)C值差异高度显著(P0.01);食源分析表明,鱼类的贡献范围(0.00%—7.09%)最小,初级生产者的贡献范围(27.05%—57.99%)最大;比较发现不同海域同一种生物体内富集的15N量也存在差异,这也从一个侧面反映出不同海域间生物的群落结构和稳定性存在差异。     

唐山市海岸带用地结构及其生态系统服务价值的时空变化研究

文章对唐山市沿海地区1991—2015年土地利用和结构变化及其生态系统服务价值进行核算分析和量化评估。结果表明:1991—2015年唐山市海岸带主要地物类型涉及耕地、公路用地、河流水面、建设用地、坑塘水面、盐田、填海用地和裸地,其中坑塘水面占地最多,海岸带开发利用总面积不断增大,用地类型有所转化且向海域扩张,新增用地主要来自围填海且以填海造地为主;海岸带生态系统服务价值呈逐年下降的趋势,以2006—2010年变化最为明显,主要原因为海水面积减少。在充分认识填海造地活动双面性的基础上,建议慎重开展填海造地,集约节约利用海洋空间资源,合理科学规划填海区域,提高海洋资源利用效率。     

AFLP analysis revealed differences in genetic diversity of four natural populations of Manila clam(Ruditapes philippinarum) in China

1 IntroductionManila clam (Ruditapes philippinarum) is aworldwide distributed species. In China, it is foundfrom the northern to southern seashores (Wang etal., 1993; Zhuang, 2001). This species is eura-line with the salinity tolerance ranging from 20 to4…     

富钴结壳资源量评估方法

富钴结壳是一种重要的海底矿产资源,对其进行资源量评估有着十分重要的意义。主要探讨了当前富钴结壳资源量评估的几种主要方法,并对其进行了分析比较。     

The long-term trend of Bohai Sea ice in different emission scenarios

Based on a coupled ocean-sea ice model, this study investigates how changes in the mean state of the atmosphere in different CO_2 emission scenarios(RCP 8.5, 6.0, 4.5 and 2.6) may affect the sea ice in the Bohai Sea, China,especially in the Liaodong Bay, the largest bay in the Bohai Sea. In the RCP 8.5 scenario, an abrupt change of the atmospheric state happens around 2070. Due to the abrupt change, wintertime sea ice of the Liaodong Bay can be divided into 3 periods: a mild decreasing period(2021–2060), in which the sea ice severity weakens at a nearconstant rate; a rapid decreasing period(2061–2080), in which the sea ice severity drops dramatically; and a stabilized period(2081–2100). During 2021–2060, the dates of first ice are approximately unchanged, suggesting that the onset of sea ice is probably determined by a cold-air event and is not sensitive to the mean state of the atmosphere. The mean and maximum sea ice thickness in the Liaodong Bay is relatively stable before 2060, and then drops rapidly in the following decade. Different from the RCP 8.5 scenario, atmospheric state changes smoothly in the RCP 6.0, 4.5 and 2.6 scenarios. In the RCP 6.0 scenario, the sea ice severity in the Bohai Sea weakens with time to the end of the twenty-first century. In the RCP 4.5 scenario, the sea ice severity weakens with time until reaching a stable state around the 2070 s. In the RCP 2.6 scenario, the sea ice severity weakens until the2040 s, stabilizes from then, and starts intensifying after the 2080 s. The sea ice condition in the other bays of the Bohai Sea is also discussed under the four CO_2 emissions scenarios. Among atmospheric factors, air temperature is the leading one for the decline of the sea ice extent. Specific humidity also plays an important role in the four scenarios. The surface downward shortwave/longwave radiation and meridional wind only matter in certain scenarios, while effects from the zonal wind and precipitation are negligible.     

基于底质类型变化监测的2005—2018年西沙永乐群岛珊瑚礁白化分析

在海洋环境变化和人类活动的双重影响下,我国珊瑚礁白化现象日趋严重,珊瑚礁健康状况、珊瑚种群数量和丰富度呈逐年下降的趋势。本文基于2005-2007年QuickBird卫星影像、2011-2012年QuickBird/WorldView-2卫星影像和2016-2018年GF-1/2卫星影像等3期高分辨率遥感数据,以西沙永乐群岛羚羊礁、中建岛等14个岛礁为研究区（以下统称永乐群岛）,利用支持向量机（support vector machine,SVM）分类方法结合人机交互信息提取方法完成了3期永乐群岛的珊瑚礁底质类型分类,并通过珊瑚礁底质类型变化分析了永乐群岛珊瑚礁白化特征。主要结论包括：（1）提出了一种珊瑚礁白化程度分级的方法,将永乐群岛白化状况分为轻度、中度、重度和严重白化4个等级,通过分析发现在监测时段内14个岛礁中有13个发生了不同程度的白化,其中10个发生了重度白化（白化率20%以上）,1个严重白化（羚羊礁,白化率为33.36%）;（2）根据监测数据统计,上述珊瑚岛礁的白化主要是由珊瑚丛生区白化引起的,2005-2018年永乐群岛珊瑚丛生区白化面积占总的发生白化区域面积的70.55%;（3）14个岛礁中只有甘泉岛的活珊瑚覆盖在逐渐增加,活珊瑚覆盖面积由2006年5月10日的87.13 hm²增加到2018年3月7日的107.80 hm²。     

软刚臂单点系泊系统静力特性分析

软刚臂系泊系统是一种利用压载质量为浮式生产储油装置(FPSO)提供回复力的单点系泊方式。为快速准确地评估多铰接组成的软刚臂系统的受力状态,避免应用高复杂度的有限元软件,进而快速完成优化设计等任务,建立一种静力计算方法十分有必要。因此,针对由刚臂(YOKE)、柔性系泊腿和压载舱组成的刚柔多体系统,以分解组合的方式,提出一种二维静力计算方法,用以研究FPSO软刚臂系泊系统的静力特性。该方法主要依靠软刚臂的几何构型,在有限铰接约束下,形成非线性静力平衡方程,建立了压载舱式水上软刚臂单点系泊系统二维静力平衡计算算法。采用OrcaFlex、SESAM等软件开展了理论和数值对比分析,同时与系泊试验结果开展验证分析。对比结果表明,文中所提方法计算精度较高,可为软刚臂单点系泊系统的研究提供可靠支持。