Coastal sea surface temperature and coho salmon production off the north-west United States

A time series of mean weekly sea surface temperature (SST) images was used to investigate the relationship between fluctuations in the marine survival of hatchery-reared coho salmon and coastal ocean dynamics off the north-western United States (51° to 37°N) between 1985 and 1996, using univariate and nonlinear bivariate regression analysis. Ocean conditions were matched against survival for a number of different annual time frames according to the sum of negative or positive weekly SST anomalies. From the univariate analyses, the sum of negative anomalies from April to June, when the juvenile salmon first enter the ocean, was found to have an R ² of 0.88 against survival with 1991 excluded as an outlier. The bivariate multiple regressions used the sum of negative anomalies from April to June as the first independent variable. When the sums of positive anomalies from the following periods during the fishes' second calendar year in the ocean were each used as the second independent variable, the R ² values were all greater than or equal to 0.92 (with no data points excluded): January to June, February to June, April to June, March to June. These results are discussed within the context of coastal ocean processes. It is concluded that the analysis of SST image time series might allow management to make reasonable forecasts of hatchery-reared coho salmon survival.     

A model‐based meso‐zooplankton production index and its relation to the ocean survival of juvenile coho (Oncorhynchus kisutch)

The ocean survival of coho salmon (Oncorhynchus kisutch) off the Pacific Northwest coast has been related to oceanographic conditions regulating lower trophic level production during their first year at sea. Coastal upwelling is recognized as the primary driver of seasonal plankton production but as a single index upwelling intensity has been an inconsistent predictor of coho salmon survival. Our goal was to develop a model of upwelling‐driven meso‐zooplankton production for the Oregon shelf ecosystem that was more immediately linked to the feeding conditions experienced by juvenile salmon than a purely physical index. The model consisted of a medium‐complexity plankton model linked to a simple one‐dimensional, cross‐shelf upwelling model. The plankton model described the dynamics of nitrate, ammonium, small and large phytoplankton, meso‐zooplankton (copepods), and detritus. The model was run from 1996 to 2007 and evaluated on an interannual scale against time‐series observations of copepod biomass. The model’s ability to capture observed interannual variability improved substantially when the copepod community size distribution was taken into account each season. The meso‐zooplankton production index was significantly correlated with the ocean survival of hatchery coho salmon from the Oregon production area, although the coastal upwelling index that drove the model was not itself correlated with survival. Meso‐zooplankton production within the summer quarter (July–September) was more strongly correlated with coho survival than was meso‐zooplankton production in the spring quarter (April–June).     

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

We investigate Sardinella aurita and Sardinella maderensis recruitment success relative to the variability of oceanographic conditions in Senegalese waters using generalized additive models (GAM). Results show that recruitment of both species is marked by a strong intra‐annual (seasonal) variation with minimum and maximum in winter and summer, respectively. Their interannual variations are synchronous until 2006 (recruitment decreasing), while from 2007 there is no synchrony. The model developed shows that sardinella recruitment variability is closely related to the tested environmental variables in the study area. However, the key environmental variables influencing the recruitment success are different for both species: the Coastal Upwelling Index and the sea surface temperature for S. aurita and S. maderensis, respectively. We report that recruitment success of S. aurita and S. maderensis are associated with distinct ranges of sea surface temperature, upwelling intensity, wind‐induced turbulence, concentration of chlorophyll‐a and north Atlantic oscillation index. Considering food security and socio‐economic importance of both stocks, we recommend that consideration is given to the environmental variability in the small pelagic fish national management plans, particularly in the context of climate change.     

Nonlocal wind-driven fjord–coast advection and its potential effect on plankton and fish recruitment

The Bergen Ocean Model (BOM), a three-dimensional physical coastal ocean model, was used for a numerical simulation experiment to investigate short-term effects of wind-generated coastal upwelling and downwelling on the dynamics of adjacent large outer and smaller inner fjords. The effect of the real alongshore wind regime on advection for an idealized fjord topography, resembling Masfjorden, western Norway, is used as an example. This modelling exercise is a supplement to, and its predictions support, the various hypotheses investigated in ecosystem simulation studies of the Masfjorden. The model predicts that coastal winds from the north cause upwelling and transport the upper water layer out from the fjords. Winds from the south cause downwelling and transport the upper water layer into the fjords. The transport is rapid and ≈50% of the upper water layer may be replaced within 1–2 days. Implications of these physical processes for the dispersal and retention of planktonic organisms and the early life stages of fish are discussed. If strong southerly winds occur frequently, this will transport planktonic organisms into the fjord and may increase the carrying capacity for planktivorous fish. In contrast, frequent strong northerly winds may reduce the abundance of planktonic organisms, including the early life stages of marine fish, and thus possibly reduce recruitment to fjord fish populations. Frequent shifts between southerly and northerly winds would cause an exchange of early life stages between neighbouring fjords and thus enhance genetic exchange.     

方形人工鱼礁通透性及其对礁体周围流场影响的数值实验

基于考虑不同形状大小、组合规模的人工鱼礁投放于不同水域环境后形成的流态变化有较大差异,设计x、y、z三个方向不同通透方式的单个正方体人工鱼礁,采用LES(大涡模拟)紊流模式,对定常来流速度下人工鱼礁单体附近流场进行三维数值模拟,建立反映礁体结构的通透系数与礁体产生流场变化的关系。结果显示:上升流和背涡流的规模随通透系数增加而减小;来流方向上,礁体迎流面、背流面的通透系数变化对上升流和背涡流规模影响较为显著,而内部结构的变化则作用不明显,礁体上方与侧方的开口对上升流和背涡流的影响也不显著。迎流面通透系数变化是背涡流规模影响的主要因素。方形单礁缓流区体积随通透系数Tin增大呈线性减小,关系为V_x=-1241.8T_in+1206。通过该研究可在数值计算中通过通透系数与流场变化的关系,实现将复杂礁体简单化,有效地提高计算效率;为将小范围模拟扩大到群礁、甚至大海域的模拟,定量评估人工鱼礁的生态效应打下基础。     

舟山近海海域夏季上升流时空特征及其与风场的关系

利用2002-2013年期间的卫星遥感海表温度(SST)数据分析了舟山海域夏季上升流的时空特征,并结合同时期的海面风场数据探讨了风对该海域夏季上升流的影响。对多年夏季月平均的SST进行经验正交函数(EOF)分解结果表明,7月份前两个模态方差贡献率分别为71.66%、16.55%,8月份前两个模态方差贡献率分别为87.03%和7.30%,并均通过了显著性检验,舟山近海海域的上升流存在较为明显的年际变化。相关分析显示,经向风速和SST异常存在显著的负相关关系,即夏季盛行的西南风有利于上升流的发展。并且,艾克曼(Ekman)体积输运计算结果表明,舟山海域7、8月份风生上升流的量级分别为3.0×10~(-5)m/s和1.5×10~(-5)m/s,7月上升流显著强于8月,这与8月份观测到的海表显著低温异常相关。     

Early ocean distribution of juvenile Chinook salmon in an upwelling ecosystem

Extreme variability in abundance of California salmon populations is often ascribed to ocean conditions, yet relatively little is known about their marine life history. To investigate which ocean conditions influence their distribution and abundance, we surveyed juvenile Chinook salmon (Oncorhynchus tshawytscha) within the California Current (central California [37°30′N) to Newport, Oregon (44°00′N]) for a 2‐week period over three summers (2010–2012). At each station, we measured chlorophyll‐a as an indicator of primary productivity, acoustic‐based metrics of zooplankton density as an indicator of potential prey availability and physical characteristics such as bottom depth, temperature and salinity. We also measured fork lengths and collected genetic samples from each salmon that was caught. Genetic stock identification revealed that the majority of juvenile salmon were from the Central Valley and the Klamath Basin (91–98%). We constructed generalized logistic‐linear negative binomial hurdle models and chose the best model(s) using Akaike's Information Criterion (AIC) to determine which covariates influenced the salmon presence and, at locations where salmon were present, determined the variables that influenced their abundance. The probability of salmon presence was highest in shallower waters with a high chlorophyll‐a concentration and close to an individual's natal river. Catch abundance was primarily influenced by year, mean fork length and proximity to natal rivers. At the scale of sampling stations, presence and abundance were not related to acoustic indices of zooplankton density. In the weeks to months after ocean entry, California's juvenile Chinook salmon population appears to be primarily constrained to coastal waters near natal river outlets.     

南海中部海域夏季叶绿素a浓度垂向分布特征

根据2014年7月~8月南海中部海域(12°N~18°N,110°E~117°E)调查获得的水柱方向上连续的叶绿素a浓度(Chl-a)数据,分析了南海中部海域夏季Chl-a垂向分布特征。结果表明:1)南海中部海域Chl-a垂向分布呈现先增加后减小的趋势,在30~70 m水层出现Chl-a高浓度区;2)次表层Chl-a最大值(subsurface chlorophyll a concentration maximum,SCM)强度变化为0.94~4.69 mg·m-3,平均为1.90 mg·m-3,是遥感表层Chl-a平均值的18.10倍,SCM深度变化为4~75.36 m,SCM厚度变化为19.01~80.36 m;3)从断面分布来看,局部海域Chl-a垂向分布受到上升流的显著影响,断面A上沿岸上升流区表现出明显的SCM强度大、深度浅和厚度大的特征,而断面B上中沙群岛岛礁上升流区同样表现出SCM强度大、深度浅的特征,但是厚度相对较小。     

镂空方型增殖礁上升流特性的粒子图像测速试验

利用粒子图像测速技术（particle image velocimetry）对镂空方型增殖礁单体礁和组合礁的上升流流场特性进行分析,按照海区实测流速和礁区选址要求,设定5个不同的来流速度0.2、0.4、0.6、0.8、1.0 m/s,并计算出试验流速分别为0.045、0.090、0.135、0.180、0.225 m/s。结果表明：单体礁在任何一种迎流方式下,上升流的规模都随来流速度的增加而增大;而相同来流速度下,主视面90o迎流时,上升流规模最大;单体俯视面45o迎流时,上升流规模最小;礁体横向组合排列时,礁体间距在0.5L～1.0 L时所产生的上升流规模最大,礁体间的协同作用最强;礁体纵向组合排列时,在0.5L～1.5 L倍的间距时,礁体间的相互作用较强,形成的上升流规模最大。