The influence of long tides on ecosystem dynamics in the Barents Sea

The Barents Sea ecosystem has been associated with large biomass fluctuations. If there is a hidden deterministic process behind the Barents Sea ecosystem, we may forecast the biomass in order to control it. This presentation concludes, for the first time, investigations of a long data series from North Atlantic water and the Barents Sea ecosystem. The analysis is based on a wavelet spectrum analysis from the data series of annual mean Atlantic sea level, North Atlantic water temperature, the Kola section water temperature, and species from the Barents Sea ecosystem.The investigation has identified dominant fluctuations correlated with the 9.3-yr phase tide, the 18.6-yr amplitude tide, and a 74-yr superharmonic cycle in the North Atlantic water, Barents Sea water, and Arctic data series. The correlation between the tidal cycles and dominant Barents Sea ecosystem cycles is estimated to be R=0.6 or better. The long-term mean fluctuations correlate with the 74-yr superharmonic cycle. The wavelets analysis shows that the long-term 74-yr cycle may introduce a phase reversal in the identified 18-yr periods of temperature and salinity. The present analysis suggests that forced vertical and horizontal nodal tides influence the ocean's thermohaline circulation, and that they behave as a coupled non-linear oscillation system.The Barents Sea ecosystem analysis shows that the biomass life cycle and the long-term fluctuations correlate better than R=0.5 to the lunar nodal tide spectrum. Barents Sea capelin has a life cycle related to a third harmonic of the 9.3-yr tide. The life cycles of shrimp, cod, herring, and haddock are related to a third harmonic of the 18.6-yr tide. Biomass growth was synchronized to the lunar nodal tide. The biomass growth of zooplankton and shrimp correlates with the current aspect of lunar nodal tidal inflow to the Barents Sea. The long-term biomass fluctuation of cod and herring is correlated with a cycle period of about 3×18.6=55.8 yr. This analysis suggests that we may understand the Barents Sea ecosystem dynamic as a free-coupled oscillating system to the forced lunar nodal tides. This free-coupled oscillating system has a resonance related to the oscillating long tides and the third harmonic and superharmonic cycles.     

A coupled interannual oscillation system

ＩＮＴＲＯＤＵＣＴＩＯＮＥｌＮｉ ｎｏ ＳｏｕｔｈｅｒｎＯｓｃｉｌｌａｔｉｏｎ (ＥＮＳＯ)ｉｓｔｈｅｉｎｔｅｒａｎｎｕａｌｉｎｔｅｒａｃｔｉｏｎｏｆｏｃｅａｎ ａｔｍｏｓｐｈｅｒｅｉｎｔｈｅｔｒｏｐｉｃａｌ(ｅｓｐｅｃｉａｌｌｙｅｑｕａｔｏｒｉａｌ)Ｐａｃｉｆｉｃ .Ｉｔｉｓａｌｓｏｒｅｃｏｇｎｉｚｅｄａｓｂｅｉｎｇｔｈｅｄｏｍｉｎａｎｔｍｅｃｈａｎｉｓｍｏｆｔｈｅｅａｒｔｈ’ｓｉｎｔｅｒａｎｎｕａｌｃｌｉｍａｔｅｃｈａｎｇｅ.Ｓｅｖｅｒａｌｃｏｎｃｅｐｔｕａｌ (ｓｉｍｐｌｅ)ｍｏｄｅｌｓｗｅｒｅｐｒｏｐ…     

SST intraseasonal oscillation and atmospheric forcing system of the South China Sea

ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＳｏｕｔｈＣｈｉｎａＳｅａ (ＳＣＳ)ｉｓａｓｅｍｉ ｅｎｃｌｏｓｅｄｏｃｅａｎｂａｓｉｎｌｏｃａｔｅｄａｔａｓｐｅｃｉａｌｇｅｏｇｒａｐｈｉｃｐｏ ｓｉｔｉｏｎ ,ｏｎｅｏｆｔｈｅｗｏｒｌｄ’ｓｐｒｏｎｏｕｎｃｅｄｍｏｎｓｏｏｎｒｅｇｉｏｎｓ,ｗｉｔｈｎｏｒｔｈｅａｓｔｗｉｎｄｓｐｒｅｖａｉｌｉｎｇｉｎｗｉｎｔｅｒａｎｄｓｏｕｔｈｗｅｓｔｗｉｎｄｓｉｎｓｕｍｍｅｒ,ａｎｄｉｓａｃｒｕｃｉａｌｒｅｇｉｏｎｏｆｉｎｔｅｎｓｉｖｅａｉｒ ｓｅａｉｎｔｅｒａｃｔｉｏｎｏｆｇｒｅａｔ…     

自动散点控制回归技术在遥感数据辐射归一化中的应用

以厦门幅TM遥感影像为例, 在分析各种遥感数据相对辐射归一化方法存在的不足基础上, 介绍自动散点控制回归 (ASCR)新技术的具体算法。对运算结果做了分析比较, 并对其提出改进意见.     

中—晚全新世高海平面的琼海珊瑚礁记录

采用精确的高程测量和高精度的TIMS铀系定年方法,对海南岛东部琼海青葛附近低潮时出露的原生死珊瑚和外礁坪上的活微环礁进行调查研究。调查结果表明,青葛附近外礁坪上的微环礁存在狭窄的生长上限(±8cm),位于最低低潮面上,是相当精确的海平面标志物。原生死珊瑚顶面与附近现代活微环礁顶面的高差数据和精确可靠的TIMS铀系年龄数据显示,5500～5200aBP(U/Th年龄,相对于2008年)时海平面至少高出现在(100±8)cm,真实的海平面很可能比现在高2.0～2.2m。总体上,5500～3500aBP期间海平面波动变化,波动幅度约为0.6m,且这种波动与气候波动有较好的对应性。4400～3900aBP期间琼海珊瑚礁的发育缺失很可能与此时的气候干冷有关。     

20世纪80年代初以来北太平洋海温变化特征

应用1979.1-2006.12北太平洋海表温度（SST）资料,采用一元线性回归、功率谱等统计方法对该区SST的变化特征进行分析,结果表明：（1）北太平洋SST年际变化较为显著,尤其在靠近亚洲大陆一带洋面、北太平洋中部中纬度海域及赤道中、东太平洋;（2）北太平洋西部和中部SST1-12月均呈上升趋势,靠近亚洲大陆的日本海一带和我国大陆以东洋面升温最快。除我国以东洋面升温中心在冬季外,其余海域升温均在夏秋季更迅速,20世纪90年代初以来尤为明显;北美海岸山脉以西及赤道中、东太平洋SST则呈弱的下降趋势;（3）赤道中、东太平洋春夏季存在显著5a和3.5a左右的年际变化;北太平洋中部30°N一带冬春季存在5-6a左右的年际变化和约14a的年代际变化;（4）除北太平洋中部（西风漂流区）外,各个海域大部分月份SST高值年和低值年分别与厄尔尼诺年和拉尼娜年对应,西风漂流区SST高值年均出现在20世纪末21世纪初,低值年与厄尔尼诺年对应。     

Response of internal waves to 2005 Typhoon Damrey over the northwestern shelf of the South China Sea

Continuous observation of sea water temperature and current was made at Wenchang Station (19°35′N, 112°E) in 2005. The data collected indicate vigorous internal waves of both short periods and tidal and near-inertial periods. The temperature and current time series during 18-30 September were examined to describe the upper ocean internal wave field response to Typhoon Damrey (0518). The strong wind associated with the typhoon, which passed over the sea area about 45 km south of Wenchang Sta- tion on 25 September, deepened the mixed layer depth remarkably. It decreased the mixed layer temperature while increasing the deep layer temperature, and intensified the near-inertial and high-frequency fluctuations of temperature and current. Power spectra of temperature and current time series indicate significant deviations from those obtained by using the deep ocean internal wave models characterized by a power law. The frequency spectra were dominated by three energetic bands: around the inertial frequency (7.75× 10-6 Hz), tidal frequencies (1.010-25 to 2.4×10-5 Hz), and between 1.4×10-4 and 8.3 × 10-4 Hz. Dividing the field data into three phases (before, during and after the typhoon), we found that the typhoon enhanced the kinetic energy in nearly all the frequency bands, es- pecially in the surface water. The passage of Damrey made a major contribution to the horizontal kinetic energy of the total surface current variances. The vertical energy density distribution, with its peak value at the surface, was an indication that the energy in- jected by the strong wind into the surface current could penetrate downward to the thermocline.     

中华鳖免疫球蛋白的理化特性 --中华鳖IgM对2-巯基乙醇敏感性、与人IgM的同源性及其相对分子质量的研究

凝集法发现,当鳖抗嗜水气单胞菌的血清与2-巯基乙醇-起孵育后,再与嗜水气单胞菌反应,无凝集现象,说明鳖免疫球蛋白对2-巯基乙醇敏感.用交叉免疫扩散法,发现鳖IgM与羊抗人IgM血清无沉淀反应,只与兔抗鳖IgM血清出现沉淀反应,而人IgM只与羊抗人IgM血清发生沉淀反应,不与兔抗鳖IgM血清反应,这些表明鳖IgM与人IgM之间无免疫同源性.用SDS-PAGE电泳检测到中华鳖免疫球蛋白的相对分子质量约为8.7×105,重链约为6.3×104,轻链约为2.2×104     

近60年“雅安天漏”变化特征分析

针对雅安地区特殊的"天漏"气候特征及以往对其变化特征研究较少问题,利用雅安市1951~2010年降水资料,从降水量和雨日数出发,通过回归分析、小波分析等现代气候统计诊断方法,综合分析"雅安天漏"的变化特征。结果表明:在降水量上,雅安市年降水量总体呈显著减小趋势,20世纪90年代中期以后尤为明显;从季节尺度上来看,春、夏、秋三季降水量呈现明显减少趋势,但冬季与之相反;从逐月降水比重可以看出,极大值主要出现在7、8、9月;从量级上看,小雨、中雨、大雨的降水量均在减小,暴雨却在增加,但各量级降水所产生的降水量与全年总降水量的比值相对比较稳定。从雨日数上看,雅安市四季的雨日数均表现出减少趋势,各个强度量级的雨日数也均在波动减小。小波分析结果显示:年降水量和雨日数在年代际时间尺度均存在准周期振荡。