南海叶绿素浓度的时空变化特征分析

运用经验正交函数(EOF)分解方法,分析了 SeaWiFS传感器获取的近13年的逐月叶绿素浓度资料,得出南海叶绿素浓度的空间分布形态及其随时间的变化特征.结果显示,南海叶绿素浓度在空间上主要表现为4种典型的分布结构,而时间上以季节变化为主:EOF1呈现了南海叶绿素浓度近海高、海盆区低的基本分布特征;EOF2显示出夏季越南沿岸激流形叶绿素浓度高值带的存在,除显著的季节变化外,其时间序列也表现出明显的年际变化特征,并与ENSO事件关系紧密;EOF3体现了南海叶绿素浓度随东北季风加强而升高的现象,其高值区分布于东北-西南向的海盆主轴以北,并在吕宋岛西北海域形成一个极大值中心;另外, EOF4反映了叶绿素浓度较短时间尺度的变化规律,在空间分布上表现为明显的三涡结构,与南海海面高度的三涡结构有极好的对应关系.     

南海西北部夏季叶绿素a浓度的分布特征及其对海洋环境的响应

南海生态动力学过程复杂,尤其是夏季,在东南季风的影响下,南海西部的上升流、西北部东北向的离岸流对该海区乃至整个南海生态动力学过程都有重要的影响。根据1999—2003年的SeaW-iFS卫星遥感叶绿素a浓度数据,结合2004年在南海北部海洋观测航次实测的叶绿素a浓度数据,分析了南海西北部夏季叶绿素a的分布特征;同时根据海表温度、风场、海面高度等卫星遥感历史资料,探讨了叶绿素a浓度的分布及其对环境因子的响应。结果表明,南海西北部夏季(6—8月)叶绿素a浓度的分布有显著的空间变化:在西部半径达500km低温、强风的半圆形海域范围叶绿素a浓度较高(>0.15mg.m-3),其中位于越南金兰湾东北部有一叶绿素a浓度更高的激流形带(>0.2mg.m-3);而在南海东北部夏季(6—8月)叶绿素a浓度明显偏低(<0.12mg.m-3)。叶绿素a的这种空间分布特征同季风等海洋环境因素之间有密切的关系。对比实测叶绿素a浓度显示,遥感叶绿素a浓度同实测叶绿素a浓度有很好的一致性。     

南海叶绿素浓度季节变化及空间分布特征研究

以南海海域1997年10月至2002年9月SeaWiFS卫星遥感叶绿素浓度的资料为基础,分析了多年平均的南海叶绿素浓度的时空分布,初步分析结果表明,冬季南海大部分海域叶绿素浓度普遍较高,春季大部分海域较低;南海各个海区的叶绿素月平均最低浓度基本出现在春季的4月或5月,而最高浓度出现的月份却有不同的特征,在中央海盆区出现在12月,在广东沿岸海区出现在7月,在越南东南部近岸海域在8月和12月有两个最高值;在吕宋海峡的西部区域,尽管叶绿素浓度的最高值也出现在12月,但是叶绿素浓度的最低值却出现在夏季的7月.在空间上近岸区域的叶绿素浓度明显高于中央海盆区,西部海域普遍高于东部海域.南海叶绿素浓度的这一时空分布特征与流场(如上升流等)、海面温度场和风场等的变化有关,也与陆源物质的输入等关系密切.     

南海中西部叶绿素时空变化特征分析

本文使用2003年1月—2019年12月MODIS遥感数据,结合海表温度、风速分析南海中西部叶绿素质量浓度分布特征和影响因素。结果显示南海中西部叶绿素质量浓度分布存在时空变化。EOF分解表明,EOF1可能反映台风等极端天气对叶绿素的影响;而EOF2 和EOF3均反映了夏季沿岸上升流对叶绿素分布的影响。相关分析表明南海中西部叶绿素质量浓度与海面风场呈正相关(r=0.87,p<0.01),与海表温度呈负相关(r=-0.59,p<0.05)。夏季在西南季风影响下越南东南沿海形成上升流,导致该区浮游植物旺发、叶绿素质量浓度升高;冬季受强东北季风影响,研究区海洋上层混合作用强烈,营养盐供应增加,促进了浮游植物生长,叶绿素质量浓度高于其他季节。     

南海海面风速季节特征的卫星遥感分析

利用ＧＥＯＳＡＴ卫星高度计于１９８６年１１月至１９８９年３月;司所测的南海海面风速资料,统计分析了南海海面风速的统计特征以及海面风场的分布特点。分析结果表明：南海海区风速受各种天气系统（如季风、台风、副热带高压等）的影响显著,表现为春、夏、秋季平均风速较小,冬季较大,风场分布呈现出夏季南部大,北部小,其他季节为由南向北增强的分布趋势,并在１０°Ｎ,１１０°Ｅ附近海区各季都有一较为稳定的高风速区,其范围大小和中心位置随季节略有变化。     

北太平洋鱿鱼渔场叶绿素a分布特点及其与渔场的关系

根据2001年～8月对位于39°～43°N,152°E～171°W的北太平洋鱿鱼渔场进行的水温、盐度、叶绿素a、浮游植物和鱿鱼捕捞等的调查结果,主要分析北太平洋鱿鱼渔场表层叶绿素a分布特点及其与环境因子、中心渔场的关系.分析结果表明,调查区表层叶绿素a含量变化为0.03～0.32 mg/m3,平均为0.13 mg/m3,其中中部渔场表层叶绿素a含量值最大,东部渔场次之,西部渔场最低;调查海域表层叶绿素a含量分布与表层温度、盐度存在较好的对应关系,叶绿素a含量高值区对应高温区,冷涡区含量最低,暖涡区含量最高;叶绿素a含量随盐度的增加而增加;在西部、中部、东部渔场,表层叶绿素a含量与浮游植物数量呈正相关关系;表层叶绿素a的分布与鱿鱼中心渔场存在较好的对应关系,中心渔场主要位于0.1 mg/m3叶绿素a等值线舌状部分或叶绿素a水平梯度较大处,渔场中心的叶绿素a值大于0.1 mg/m3.叶绿素a分布与环境要素及渔场的相关性分析表明叶绿素a可作为鱿鱼渔场分析中的一个重要参考指标.     

南海北部海域叶绿素a浓度时空特征遥感分析

利用2007-2010年MODIS的L2级叶绿素a浓度产品作为数据基础, 对叶绿素a浓度年平均和月平均数据进行分级分区处理, 研究南海北部海域叶绿素a浓度时空分布特征及其与海洋环境因素的关系。初步研究结果表明:2007-2010年在南海北部海域叶绿素a浓度的高值区(>5.0 mg/m3)主要分布在广东省沿岸河流的入海口, 分布范围在夏季最大, 在春秋次之, 在冬季最小;叶绿素a浓度的次高值区(1.0～5.0 mg/m3)主要分布在海岸线到50 m等深线之间的海域, 分布范围夏冬较大, 能扩展到50 m等深线附近, 而春秋较小, 会退缩到50 m等深线以内;叶绿素a浓度的中值区(0.3～1.0 mg/m3)主要分布在50 m到100 m等深线之间的海域, 时空变化复杂;叶绿素a浓度的低值区(<0.3 mg/m3)主要分布在100 m等深线以外的海域, 其区域平均值夏季最低, 春秋次之, 冬季最高, 同时该区域叶绿素a浓度在春夏秋三季空间分布较均匀, 而冬季受季风和黑潮入侵影响空间分布较为复杂。南海北部海域海表叶绿素a浓度的时空变化特征与季风、沿岸河流、海流、海表温度等海洋环境因素的变化有关。     

南海叶绿素a浓度垂直分布的统计估算

分析整理了1993—2006年近10 a南海北部海域、南沙海域和南海其他海域的叶绿素a浓度历史航次调查资料,基于前人提出的全球叶绿素浓度垂直分布的统计分析模式,根据南海表层叶绿素a浓度大小的不同分级,对南海叶绿素a浓度进行了参数化处理,拟合估算了南海各水层剖面的叶绿素a浓度分布值,并结合不同海区的环境特征,分析了南海叶绿素a浓度垂直分布与其海水物理环境的关系。初步分析结果表明,叶绿素a浓度随深度垂直变化的拟合曲线呈一定倾斜的正态分布特征,当表层叶绿素a浓度较低时,作为南海深水海盆区的代表,拟合值更接近实测平均值的分布,叶绿素a浓度高值集中在次表层剖面上;当表层叶绿素a浓度较高时,作为近岸区和河口区的代表,高值多集中在表层海水,拟合误差偏大。该统计估算模式对于揭示南海叶绿素a浓度垂直分布结构进行了有益的尝试,为发展适合不同海区特点的模式以及校正参数奠定了基础。利用该模式与海洋水色卫星遥感数据有效结合,将对南海叶绿素a浓度时空分布格局的研究具有重要的意义。     

海洋表层叶绿素浓度的激光雷达测量方法和海上实验

依据激光感生荧光的原理和叶绿素分子的荧光谱特性,研制一套激发波长为532nm的海洋激光雷达系统,用于海洋表层叶绿素分子浓度的快速测量。应用该系统于1994年10－11月进行一次长距离的海上现场实验,对东海（2－32°N,122—129°E）21个站位的表层叶绿素浓度进行了测量,得到0．15μg/L-1．10μg／L范围的表层叶绿素分子的浓度分布。测量结果与水样的分光光度计测量结果相吻合。     

2000年夏季南极普里兹湾及邻近海域浮游植物研究

报道了2000年夏季(1月)在62°~69°S,70°30'~75°30'E的南极普里兹湾邻近海域浮游植物种类组成、丰度分布、叶绿素a浓度及其环境调控.结果表明,调查海区共有浮游植物4门33属65种、变种和变型.浮游植物平均细胞丰度为32.67×103个/dm3.浮游植物细胞丰度和叶绿素a浓度高值均出现在水体较稳定的近岸海湾和冰间湖及毗邻陆架,在大陆坡和深海区它们的值明显减小.浮游植物细胞丰度和叶绿素a浓度在0~50m水层最大,100m以下水层随深度的增加而减小.浮游植物丰度呈昼夜变化,在13:00丰度最高.浮游植物优势种为短菱形藻(Nitzschiacurta),占总丰度的24.8%.浮游植物种类组成和细胞丰度与浮冰和水团稳定性有关.经回归分析,浮游植物细胞丰度与水温、溶解氧成显著正相关,与无机磷(PO_{43--P)和无机氮(NO3--N)成显著负相关.}     

秋季季风转换期间台湾海峡遥测叶绿素a的年际变动

The time series of multiple sources of satellite data are used to examine the interannual variability of chlorophyll a concentration （Chl a） and its relation to the physical environment during the autumn monsoon transitional period in the Taiwan Strait （TWS）. The satellite data included the Chl a concentration and sea surface temperature （SST） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS）/ Aqua as well as the multi-sensors merged wind products from 2002 to 2012. The results show that the average Chl a concentration of the whole TWS is mainly contributed by the northern TWS. The average Chl a in the northern TWS is 3.6 times that in the southern TWS. The maximum variability of Chl a is located in the frontal regions between the cold Zhe-Min Coastal Water and the strait warm water. The temporal change of Chl a concentration is different in the northern and southern TWS. The changes in the relative strength of the cold and warm water masses is suggested to be the dominant processes in controlling the phytoplankton growth in the northern TWS, while there is wind-induced mixing in the southern TWS. Additionally, La Nina events exhibited complex effects on the interannual variability of Chl a concentration in autumn. The longterm time series of physical and biological observations are especially needed to better understand how the TWS complex ecosystem responds to climate variations.     

基于遥感数据对比南海和阿拉伯海夏季叶绿素a浓度

The South China Sea(SCS) and the Arabian Sea(AS) are both located roughly in the north tropical zone with a range of similar latitude(0°–24°N). Monsoon winds play similar roles in the upper oceanic circulations of the both seas. But the distinct patterns of chlorophyll a(Chl a) concentration are observed between the SCS and the AS.The Chl a concentration in the SCS is generally lower than that in the AS in summer(June–August); the summer Chl a concentration in the AS shows stronger interannual variation, compared with that in the SCS; Moderate resolution imaging spectroradiometer(MODIS)-derived data present higher atmospheric aerosol deposition and stronger wind speed in the AS. And it has also been found that good correlations exist between the index of the dust precipitation indicated by aerosol optical thickness(AOT) and the Chl a concentration, or between wind and Chl a concentration. These imply that the wind and the dust precipitation bring more nutrients into the AS from the sky, the sub-layer or coast regions, inducing higher Chl a concentration. The results indicate that the wind velocity and the dust precipitation can play important roles in the Chl a concentration for the AS and the SCS in summer. However aerosol impact is weak on the biological productivity in the west SCS and wind-induced upwelling is the main source.     

南海夏季风暴发过程的低频特征

应用1979～1996年共18a的NOAA卫星OLR资料及NCEP/NCAR再分析850hPa风场资料,分析了夏季南海地区及南海季风暴发过程的某些低频特征。认为北半球夏季南海地区的低频活动较活跃,并且具有明显的年际变化,这种年际变化同南海季风的暴发时间有联系。南海地区的低频振荡在南海季风暴发后增强。通过对18a 及K*的时段叠加合成图的分析,发现南海夏季风的暴发同赤道印度洋低频振荡的东传及西太平洋低频扰动西传有密切联系,南海夏季风暴发期间南海地区将印度洋与西太平洋之间的低频活动联系在一起。     

中尺度涡影响下的南海西部活性铝分布

To understand the distribution of aluminum(Al) under the influence of mesocale eddies in the western South China Sea(SCS), sea level anomaly, geostrophic current, environmental parameters and reactive Al were investigated in the western SCS in August 2013. The highest reactive Al concentration((180±64) nmol/L) was observed in the surface waters, indicating a substantial atmospheric input. Vertically, the reactive Al decreased from the surface high concentration to the subsurface minima at the depth of chlorophyll a(Chl a) maxima and then increased again with depth at most of the stations. The average concentration of reactive Al in the upper 100 m water column was significantly lower in the cyclonic eddy((137±6) nmol/L) as compared with that in the noneddy waters((180±21) nmol/L). By contrast, the average concentrations of Chl a and silicate in the upper 100 m water column were higher in the cyclonic eddy and lower in the anticyclonic eddy. There was a significant negative correlation between the average concentrations of reactive Al and Chl a in the upper 100 m water column. The vertical distribution of reactive Al and the negative correlation between reactive Al and Chl a both suggest that the reactive Al in the upper water column was significantly influenced by biological removal processes. Our results indicate that mesoscale eddies could regulate the distribution of reactive Al by influencing the primary production and phytoplankton community structure in the western SCS.     

Phytoplankton dynamics associated with the monsoon in the Sulu Sea as revealed by pigment signature

Phytoplankton dynamics during the northeast monsoon was investigated in the Sulu Sea from algal pigment analysis. We visited the Sulu Sea in February 2000, a mid period of the northeast monsoon, and in November and December 2002, the beginning of the northeast monsoon. SeaWiFS images showed generally low concentrations of surface chlorophyll a (Chl a) during the southwest monsoon and higher concentrations with several peaks during the northeast monsoon. In the beginning of the northeast monsoon, subsurface chlorophyll maxima (SCM) occurred, where vertical variation in class-specific composition as estimated from pigment signatures was prominent. Prochlorococcus, cyanobacteria, prymnesiophytes and crysophytes were important groups above the SCM, and the contribution of cyanobacteria to Chl a became much lower at and below the SCM. Contributions of chlorophytes and prasinophytes to Chl a generally showed maxima near the SCM. This distribution was accompanied by vertical changes in the concentration of photoprotective pigments relative to photosynthetic accessory pigments. During the mid northeast monsoon, the upward supply of nutrients was probably enhanced at some stations due to vertical mixing, and as a consequence diatoms dominated in the upper 100 m water column of these stations, and other eukaryotic flagellates including prymnesiophytes, chrysophytes and cryptophytes were secondary major components of the community. The elevation of Chl a concentration and changes in phytoplankton community during the northeast monsoon likely influence the variation in biological production at higher trophic levels in the Sulu Sea.     

The influence of thermohaline fronts on chlorophyll a concentrations during spring and summer in the southeastern Yellow Sea

A spatial and temporal variation in physiochemical parameters in the southeastern Yellow Sea(YS) is investigated in the spring and summer of 2009 to 2011.Nutrient show a strong negative relationship with chlorophyll a(Chl a) concentration in spring,and the subsurface chlorophyll a maxima(SCM) layer was associated with the nitracline in summer.In summer,the SCM was usually found within or above the pycnocline and at the depths of shoals from the open sea to the coastal sea due to tidal and/or topographical fronts in the southernmost study area.High Chl a concentrations were found in the central southern YS,where the YS cold water layer expanded under the pycnocline and encountered water masses during spring and summer.After a typhoon in the summer of 2011,Chl a concentration increased,especially in the central southern YS,where cold waters occurred below the pycnocline.The results suggest that the development of thermohaline fronts may play an important role in the growth and accumulation of phytoplankton biomass in the upper layer of the southeastern YS during spring and summer.     

南海北部表层颗粒有机碳的季节和年际变化遥感分析

海洋颗粒有机碳（POC）是海洋固碳的一个关键参数。为了研究南海北部陆架及海盆表层POC浓度的时空分布特征以及变化趋势,本文利用2009-2011年4个季节的实测数据,对NASA发布的MODIS/AQUA卫星月平均POC遥感产品,进行了验证和校正;并利用校正后的遥感数据分析了2003-2014年POC的时空分布特征和变化趋势。发现POC遥感产品与南海北部实测数据具有较好的线性关系（R2=0.72）,但存在系统性偏高,需利用实测数据对遥感数据进行区域性校正。分析校正后的遥感数据发现,南海北部陆架POC浓度较高,平均为（33.34±8.02）mg/m3;吕宋海峡西南海域浓度较低,平均为（29.25±6.20）mg/m3;中央海盆区浓度最低,平均为（27.02±4.84）mg/m3。春夏季POC浓度较低,最低值一般出现在5月,冬季（12月至翌年1月）POC浓度达到最高。利用2003-2014年的长时间序列遥感叶绿素（Chl a）和海表温度（SST）、混合层深度（MLD）模式数据,以及实测数据对南海北部POC浓度的影响机制进行了分析。发现POC与Chl a在秋冬呈现较好的相关关系（R2=0.51）,但在春夏季较离散,表明秋冬季生物作用对POC影响较大。2003-2014年期间,POC与Chl a、MLD及SST存在明显的年际变化,但并没有显著的上升或下降趋势。     

南海岛礁周边海域表面叶绿素浓度的时空特征

南海海域内岛礁众多, 渔业资源丰富, 而目前针对岛礁周边海区生态要素开展的研究仍较少。本文利用近20年多卫星融合水色遥感数据, 分析了南海38个主要岛礁周边区域海面叶绿素浓度的空间分布、季节变化和年际变化特征。结果表明, 岛礁周边普遍存在叶绿素浓度高值区, 其浓度约在离岛礁5个等效半径外降至海区背景水平。岛礁周边海域的叶绿素(相对于背景值的)浓度异常受海区背景值影响, 两者在南海的空间分布格局与背景值基本一致: 在平均温度较低、季风强度较大的东沙、西沙海区, 叶绿素浓度异常高于温度较高、季风强度相对较弱的中沙、南沙海区。叶绿素浓度呈现出明显的季节变化和年际变化特征, 一般在冬季风期间升高, 而在夏季风爆发前降至最低; 在El Ni?o次年随海温升高和季风减弱而下降, 在La Ni?a次年则相反。岛礁周边的叶绿素浓度异常受到温度变化的影响, 随着近年来海温变化幅度加大, 其年均水平呈显著下降趋势(P=5.05×10 ^-5)。这些结果可为我国岛礁区域渔业资源的开发和管理提供信息支持。     

Dynamics of heterotrophic dinoflagellates off the Pearl River Estuary,northern South China Sea

Variations in abundance, biomass, vertical profile and cell size of heterotrophic dinoflagellates (HDFs) between summer and winter and its controlling factors were studied in the northern South China Sea (SCS). It was found that HDF abundance and carbon biomass were 4–102 × 10³ cells L⁻¹ and 0.34–12.3 mg C L⁻¹ in winter (February 2004), respectively, while they were 2–142 × 10³ cells L⁻¹ and 0.22–31.4 μg C L⁻¹ in summer (July, 2004), respectively, in the northern SCS. HDF abundance and carbon biomass decreased from the estuary to inshore and then offshore. Vertical profiles of HDF abundance were heterogeneous, which accorded well with that of chlorophyll a (Chl.a). Higher abundance of HDFs was often observed at a depth of 30–70 m offshore waters, matching well with the Chl.a maximum, while it showed high abundance at the surface in some coastal and estuary stations. Small HDFs (≤20 μm) dominated the assemblage in term of abundance accounting for more than 90%. However, large HDFs (>20 μm) generally contributed equally in terms of carbon biomass, accounting for 47% on average. HDFs showed different variation patterns for the different study regions; in the estuarine and continental shelf regions, abundance and biomass values were higher in summer than those in winter, while it was the reverse pattern for the slope waters. Hydrological factors (e.g. water mass, river outflow, monsoon and eddies) associated with biological factors, especially the size-fractionated Chl.a, seemed to play an important role in regulating HDF distribution and variations in the northern South China Sea.     

东亚边缘海区浮游植物春华的纬向与年际变化

Combined studies of latitudinal and interannual variations of annual phytoplankton bloom peak in East Asian marginal seas(17°–58°N, including the northern South China Sea(SCS), Kuroshio waters, the Sea of Japan and the Okhotsk Sea) are rarely. Based on satellite-retrieved ten-year(2003–2012) median timing of the annual Chlorophyll a concentration(Chl a) climax, here we report that this annual spring bloom peak generally delays from the SCS in January to the Okhotsk Sea in June at a rate of(21.20±2.86) km/d(decadal median±SD). Spring bloom is dominant feature of the phytoplankton annual cycle over these regions, except for the SCS which features winter bloom. The fluctuation of the annual peak timing is mainly within ±48 d departured from the decadal median peak date, therefore this period(the decadal median peak date ±48 d) is defined as annual spring bloom period. As sea surface temperature rises, earlier spring bloom peak timing but decreasing averaged Chl a biomass in the spring bloom period due to insufficient light is evident in the Okhotsk Sea from 2003 to 2012. For the rest of three study domains, there are no significant interannual variance trend of the peak timing and the averaged Chl a biomass. Furthermore this change of spring phytoplankton bloom timing and magnitude in the Okhotsk Sea challenges previous prediction that ocean warming would enhance algal productivity at high latitudes.