首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到18条相似文献,搜索用时 171 毫秒
1.
孙军  宋书群  王丹  徐兆礼 《生态学报》2007,27(8):3302-3315
2005年4月27日至5月30日在东海有害藻华高发区的6个典型站位采样,结合稀释法实验和Frost的直接计量法研究了中型浮游动物对浮游植物和微型浮游动物群落的现场摄食速率,并对中华哲水蚤(Calanus sinicus)的食物组成、中型浮游动物和微型浮游动物对浮游植物群落的摄食压力进行了估算。研究结果表明春季调查区:中华哲水蚤对浮游植物的物种比摄食率介于0.01~8.43d-1,平均值为(2.72±2.14)d-1。中华哲水蚤对浮游植物的物种摄食速率介于0.05~838.23cells ind.-1d-1,平均值为(52.72±154.21)cells ind.-1d-1,对几种有害藻华原因生物的摄食速率较高。中华哲水蚤对浮游植物物种摄食速率具有食物密度依赖性,在低浮游植物丰度下,其摄食速率会随着浮游植物丰度的增加而增加,达到一定阈值后随着浮游植物丰度增加而逐渐降低。中型浮游动物群落对浮游植物群落碳摄食速率介于0.53~4.97ngC L-1d-1,平均值为(2.16±1.63)ngC L-1d-1。微型浮游动物对浮游植物群落物种平均碳摄食速率介于0.04~13.20ngC ind.-1d-1,平均值为(2.91±5.22)ngCind.-1d-1。微型浮游动物群落对浮游植物群落碳摄食速率介于61.07~8632.85ngC L-1d-1,平均值为(2801.01±4198.46)ngC L-1d-1。分析比较中型浮游动物和微型浮游动物对浮游植物现存量摄食压力表明,海区中微型浮游动物的摄食压力要远高于中型浮游动物,介于95.59%~99.98%,平均值为97.88%±2.33%。调查海区中型浮游动物还通过对微型浮游动物的摄食影响浮游植物生长。  相似文献   

2.
春季赤潮频发期东海微型浮游动物摄食研究   总被引:46,自引:4,他引:46  
2002年4~5月在东海长江口及其邻近水域的8、11、14、23和28号5个典型站位采样。用现场稀释法对春季东海水域浮游植物的生长率和微型浮游动物对浮游植物的摄食压力等方面进行了研究.结果表明,微型浮游动物的摄食行为在东海赤潮过程起到关键作用.各站位微型浮游动物主要以急游虫、红色中缢虫和夜光藻为主,在种类上砂壳纤毛虫是主要的类群.微型浮游动物的摄食速率范围在0.28~1.13d-1,对浮游植物现存量的摄食压力范围在35.14%~811.69%。对浮游植物潜在初级生产力的摄食压力范围在74.04%~203.25%,对浮游植物碳的摄食率范围在9.58~97.91μg·L-1·d-1,靠近岸边的站位,微型浮游动物的摄食速率、对浮游植物现存量的摄食压力和对浮游植物碳的摄食率相对较高。而远离岸边的站位对浮游植物潜在初级生产力的摄食压力却较高.与世界其它海区比较此水域微型浮游动物摄食压力处于较高水平.急游虫是控制东海主要赤潮原因生物具齿原甲藻生长的关键种类.  相似文献   

3.
香港水域夏季微型浮游动物摄食研究   总被引:21,自引:4,他引:21  
20 0 0年 8月在香港牛尾海 ( A站 )和龙鼓水道 ( B站 )的 2个典型站位采样 ,用半现场的稀释法研究了夏季香港水域浮游植物的生长率和微型浮游动物对浮游植物的摄食压力等。结果表明 :A、B站浮游植物主要以硅藻为主 ,但 A站甲藻比重比 B站要高。A站 <5 μm的微型浮游植物比 B站要少 ,从细胞大小上 B站的浮游植物更易被微型浮游动物所摄食。A站微型浮游动物类群主要以异养鞭毛藻为主 ,而 B站为砂壳纤毛虫 ,其细胞丰度分别为 770和 62 0 ind./L。 A、B站浮游植物碳 /叶绿素 a浓度比率分别为 2 7.1 5和88.66。 A站浮游植物的内禀生长率相似于 B站 ,分别为 1 .0 4和 0 .98d- 1。浮游植物在 A站的净生长率是0 .33d- 1,而在 B站则出现了负增长 ,其净生长率是 - 0 .5 8d- 1。微型浮游动物在 A、B站的摄食率分别为0 .71和 1 .5 6d- 1,摄食压力分别占到了浮游植物现存量的 1 43.7%和 2 0 9.7% ,初级生产力的 78.6%和1 2 6.6% ,对浮游植物碳的摄食率分别达到 35 1和 5 5 2 μg C/( L·d)。A站的浮游植物生长要高于 B站 ,B站的微型浮游动物摄食压力要明显高于 A站。与其它海区比较香港水域微型浮游动物摄食压力处于中等水平。黑暗长时间培养实验的结果表明此水域微型浮游动物摄食率稀释法实验应在适量添加营养盐并在  相似文献   

4.
北部湾北部海域夏季微型浮游动物对浮游植物的摄食压力   总被引:1,自引:0,他引:1  
2011年8月份于北部湾北部海域5个观测站位获得的分层水样,分析了表层叶绿素a含量和表层微型浮游动物丰度以及类群组成;同时于现场采用稀释培养法研究了该海域浮游植物生长率(μ)和微型浮游动物的摄食率(g)。分析和测定结果表明:调查海区的微型浮游动物丰度400—1167个/L,类群组成以无壳纤毛虫为主;浮游植物的生长率为-1.50—1.13 d-1,微型浮游动物摄食率为0.33—1.08 d-1;推算微型浮游动物对浮游植物现存量以及初级生产力的摄食压力分别为28.1%—66.0%和-7.4%—438.4%。相对于中国其他海区,8月份北部湾北部海域微型浮游动物摄食速率处于中等水平。调查期间,广西沿海高生产力海区,浮游植物生长率大于微型浮游动物动物的摄食率,浮游植物生物量处于积累期;涠洲岛以南海域,浮游植物生产力较低,微型浮游动物摄食作用是控制浮游植物生长的重要因素。  相似文献   

5.
夏季胶州湾微型浮游动物摄食初步研究   总被引:20,自引:1,他引:20  
2002年6月至7月间对胶州湾内、外和港口3个典型站位进行了微型浮游动物对浮游植物的摄食研究.按陆基半现场方式进行了4次稀释法实验,对湾外相同的站位进行了两次实验,对湾内和港口各进行了一次实验,获取了研究站位浮游植物和微型浮游动物种类、丰度、体积转换浮游植物碳含量、碳/叶绿素比率、浮游植物净生长率、微型浮游动物摄食率、对潜在初级生产力的摄食压力、对浮游植物现存量的摄食压力以及碳摄食通量等参数.湾外和湾内站位的浮游植物组成相似,优势种为新月柱鞘藻(Cylindrotheca closterium)和中肋骨条藻(Skeletonema costatum),港口浮游植物优势种类为中肋骨条藻、浮动湾角藻(Eucampia zodiacus)和旋链角毛藻(Chaetoceros curvisetus).湾外微型浮游动物的优势种为百乐拟铃虫(Tintinnopsis beroidea),而在湾内为百乐拟铃虫和急游虫(Strombidium sp.),港口主要为急游虫,也有少数的百乐拟铃虫.微型浮游动物对浮游植物的摄食率和对潜在初级生产力的摄食压力,在湾内最高,其次在湾外,港口最低.微型浮游动物对浮游植物的摄食率,在湾外,分别为0.96和1.20d^-1,在湾内为1.33d^-1,在港口为0.36d^-1.微型浮游动物对潜在初级生产力的摄食压力,在湾外,分别为74%和84%,在湾内为93%,在港口为53%.微型浮游动物的碳摄食通量在港口最高达到281mgC·m^-3·d^-1,在湾内为102mgC·m^-3·d^-1,在湾外最低范围在31~49mgC·m^-3·d^-1.浮游植物的细胞大小和两种微型浮游动物的摄食习性的不同是造成研究站位微型浮游动物摄食率和摄食压力不同的主要原因.同世界其它内湾相比,胶州湾微型浮游动物的摄食压力处于中等水平。  相似文献   

6.
2008年8月底到10月初,用现场稀释法对虾塘中≤200 μm、≤100 μm和≤20 μm 3个粒级的微型浮游动物对浮游植物的摄食压力进行了研究。共进行了三次培养实验,结果表明:浮游植物的生长率为0.0834~0.4498 d-1,微型浮游动物的摄食率为0.1212~0.2998 d-1,微型浮游动物摄食率对浮游植物生长率比值(g:k)为0.4271~3.4901,占浮游植物现存量的11.41%~25.90%,对初级生产力的摄食压力为48.20%~314.69%。≤20 μm微型浮游动物的摄食率、对浮游植物现存量和初级生产力的摄食压力,占微型浮游动物(≤200 μm)的相关比例范围为73.85%~97.69%、76.67%~97.91%、78.87%~98.59%。这表明≤20 μm微型浮游动物比≥20 μm的微型浮游动物在对虾养殖中后期虾塘能量流动和物质循环方面起到更重要的作用。  相似文献   

7.
春季东海中华哲水蚤对有害藻华物种的选择性摄食   总被引:8,自引:0,他引:8  
2005年4月27日—6月5日在东海有害藻华高发区的6个典型站位采样,分析了浮游植物的群落结构,并采用现场实验研究了中华哲水蚤(Calanus sinicus)的选择性摄食.结果表明,中华哲水蚤对浮游植物的选择性摄食具有食物密度依赖性.低浮游植物细胞丰度下中华哲水蚤具有明显的选择性摄食行为,高浮游植物细胞丰度下中华哲水蚤摄食选择性由偏好转变为排斥,浮游植物细胞丰度329 cells·ml-1是中华哲水蚤由偏好趋于排斥摄食的阈值.中华哲水蚤的选择性摄食还与食物组成有关,对于食物中的微型浮游动物,中华哲水蚤无选择性或排斥摄食.有害藻华发生区中华哲水蚤对具齿原甲藻(Prorocentrum dentatum)的偏好摄食以及对米氏凯伦藻(Karenia mikimotoi)的排斥摄食,促使藻华的物种演替最终向米氏凯伦藻水华方向发展.  相似文献   

8.
三门湾浮游动物的季节变动及微型浮游动物摄食影响   总被引:6,自引:0,他引:6  
2002年8月、11月、2003年2月和5月,在三门湾进行了4个航次生物、化学和水文等专业综合调查。根据采集的浮游动物样品的分析鉴定及海上现场实验结果,对浮游动物的群落组成、生物量、丰度、多样性指数的分布和季节变动及其浮游动物对浮游植物的摄食影响进行研究。结果表明,三门湾浮游动物有67属,89种,16类浮游幼体,主要可划分为4个生态类群:以近岸低盐类群为主,其优势种为中华哲水蚤Calanus sinicus、真刺唇角水蚤Labidocera etwhaeta、捷氏歪水蚤Tortanus derjugini、太平洋纺锤水蚤Acartiapacifica、中华假磷虾Pseudeuphausia sinica和百陶箭虫Sagitta bedoti等。半咸水河口类群、暖水性外海类群和广布种相对较少。浮游动物生物量和丰度的平面分布趋势除了夏季有所差异外,其它季节基本一致。2月份和5月份,浮游动物生物量和丰度,从湾顶向湾口呈逐渐增加趋势;8月份,湾口区生物量最高,而丰度高值区出现在湾顶部;11月份,生物量和丰度的平面分布相对均匀。浮游动物种类多样性指数有明显的季节变化,其动态变化与浮游动物种数和丰度的变化一致。微型浮游动物对浮游植物存在摄食压力,且有季节变化,摄食率的变化在0.18.0.68d^-1,微型浮游动物的摄食率低于相同季节的浮游植物生长率。微型浮游动物对浮游植物摄食压力的变化范围为16.1%-49.1%d^-1,对初级生产力摄食压力的变化在58.3%-83.6%d^-1。11月份,微型浮游动物对浮游植物和初级生产力的摄食压力均出现最高值。  相似文献   

9.
博斯腾湖浮游植物群落结构特征及其影响因子分析   总被引:1,自引:0,他引:1  
2011年对博斯腾湖大湖区17个采样站位的浮游植物及水体主要理化因子进行了4次系统调查。结果表明, 在17个站位共鉴定出浮游植物127种(属), 其中优势种(属)9种。浮游植物群落全年均以硅藻为主导, 冬、春季节, 浮游植物组成呈硅藻-甲藻型, 优势类群主要为贫-中营养型浮游藻类, 到夏、秋季节逐渐形成硅藻-绿藻型, 以富营养型的浮游藻类为优势类群。浮游植物总平均生物量为(2.512.95) mg/L, 生物量季节变动显著, 峰值出现在夏季, 冬季最低。基于Canoco的多变量分析表明: 环境变量共解释了浮游植物群落总变异的54.5%, 水温是影响浮游植物分布最重要的环境因子, 其次为枝角类丰度。水中氮含量是影响浮游植物丰度的主要因子, 同时浮游植物对水体有机物含量也有较大的影响。    相似文献   

10.
三亚珊瑚礁分布海区浮游生物的群落结构   总被引:3,自引:0,他引:3  
为了更好地了解珊瑚礁区生物群落应对环境变化的生态响应机制,以及浮游生物群落结构与珊瑚礁发展发育的关系,我们于2006年10月26日至11月10日对三亚珊瑚礁保护区9个有珊瑚礁分布的站点进行了浮游生物群落结构的调查.共鉴定出浮游植物种类61属130种(包括变种、变型),其中硅藻门48属101种,甲藻门10属25种,蓝藻门2属3种,金藻门1属1种.硅藻门的角毛藻属(Chaetoceros)种类最多,根管藻属(Rhizosolenia)的种类次之.调查海区浮游植物的细胞丰度范围为348-11,320个/L,平均为3,247个/L.在浮游植物群落中硅藻占绝对优势,平均丰度为3,230个/L,占总密度的99.5%.调查海区共鉴定出浮游动物76种,其中桡足类29种,水母类17种,浮游幼虫10种,毛颚类7种,被囊类6种,浮游腹足类4种,十足类、多毛类和介形类各1种.调查海区浮游动物的密度范围为43-190个/m3,平均为114个/m3.优势类群为桡足类、各类幼虫和毛颚类,平均分别占浮游动物总密度的28.5%,27.7%和13.6%.各站位浮游植物的多样性指数和均匀度平均分别为3.98和0.70,浮游动物的多样性指数和均匀度平均分别为4.37和0.87.鹿回头和大东海海域的浮游植物密度大,而生物多样性指数低.活的造礁石珊瑚种数和覆盖率高的站点的浮游生物多样性也较高.  相似文献   

11.
Microzooplankton grazing was investigated in surface waters of the Indo-Pacific and Atlantic sectors of the Southern Ocean by the dilution method. Phytoplankton growth varied mainly between 0.1 and 0.4 day−1, and microzooplankton grazing between 0.0 and 0.3 day−1. Great fluctuations in phytoplankton growth rate were observed at one station within 3 weeks and between closely spaced stations. Microzooplankton grazing rates were similar to phytoplankton growth rate despite the variation of phytoplankton growth rates, although in some cases, phytoplankton growth overwhelmed microzooplankton grazing. These observations suggest that microzooplankton are the main consumers of primary producers, and that steady state between phytoplankton growth and microzooplankton grazing is usually established in the Southern Ocean in austral summer. Received: 5 November 1996 / Accepted: 4 March 1997  相似文献   

12.
Microzooplankton grazing rates were compared between two sites (S1 and S2) in the coastal seas of eastern Hong Kong with similar physio-chemical parameters, but different chlorophyll concentrations. During the period from March 2007 to January 2008, six sets of dilution experiments, combined with high performance liquid chromatography and phytoplankton size fractionation (< 200 μm, < 20 μm and < 5 μm), were carried out to study the microzooplankton grazing rate on phytoplankton of different taxonomic groups and sizes. Although total chlorophyll a concentrations were much higher in S1 (4.98-18.42 μg l− 1) than in S2 (0.29-1.68 μg l− 1), size composition of phytoplankton was relatively similar between the two sites. Measured as chlorophyll a, phytoplankton growth rates (− 0.84-1.91 d− 1 in S1; 0.03-2.85 d− 1 in S2) and microzooplankton grazing rates (0.00-2.26 d− 1 in S1; 0.00-1.49 d− 1 in S2) for all three size fractions were similar between the two bays. Phytoplankton growth rates and microzooplankton grazing rates measured as other pigments for phytoplankton of different size fractions did not show strong variations. Microzooplankton grazing impact, expressed as the ratio of microzooplankton grazing rate to phytoplankton growth rate, was generally higher in S1 than in S2, although the difference was not statistically significant. High microzooplankton grazing impact on alloxanthin (1.00-45.85) suggested strong selection toward cryptophytes. Our results provided no evidence for size selective grazing on phytoplankton by microzooplankton.  相似文献   

13.
Liu Z S  Wang C S  Zhang Z N  Liu C G  Yang G M 《农业工程》2006,26(12):3931-3940
The species composition, biomass, abundance and species diversity of zooplankton were determined for samples collected from 12 stations in Sanmen Bay, China, in four cruises from August 2002 to May 2003. Growth of phytoplankton and grazing rates of microzooplankton were measured using the dilution technique. The spatial and temporal variation of zooplankton and its relationship with environmental factors were also analyzed. The results showed that a total of 89 species of zooplankton belonging to 67 genera and 16 groups of pelagic larvae were found in Sanmen Bay. The coastal low-saline species was the dominant ecotype in the study area, and the dominant species were Calanus sinicus, Labidocera euchaeta, Tortanus derjugini, Acartia pacifica, Pseudeuphausia sinica and Sagitta bedoti. Maximum biomass was recorded in August, followed by November and May, and the lowest biomass was recorded in February. Similarly, the highest abundance of zooplankton was observed in August, followed by May, November, and February. Grazing pressure of microzooplankton on phytoplankton in Sanmen Bay existed throughout the year, although the grazing rate of microzooplankton on phytoplankton varied with the season. Estimates for growth rate of phytoplankton ranged from 0.25 d?1 to 0.89 d?1, whereas grazing rate of microzooplankton ranged between 0.18 d?1 and 0.68 d?1 in different seasons. The growth rate of phytoplankton exceeded the grazing rate of microzooplankton in all the seasons. Grazing pressure of microzooplankton on phytoplankton ranged from 16.1% d?1 to 49.1% d?1, and the grazing pressure of microzooplankton on primary production of phytoplankton ranged from 58.3% d?1 to 83.6% d?1 in different seasons.  相似文献   

14.
The species composition, biomass, abundance and species diversity of zooplankton were determined for samples collected from 12 stations in Sanmen Bay, China, in four cruises from August 2002 to May 2003. Growth of phytoplankton and grazing rates of microzooplankton were measured using the dilution technique. The spatial and temporal variation of zooplankton and its relationship with environmental factors were also analyzed. The results showed that a total of 89 species of zooplankton belonging to 67 genera and 16 groups of pelagic larvae were found in Sanmen Bay. The coastal low-saline species was the dominant ecotype in the study area, and the dominant species were Calanus sinicus, Labidocera euchaeta, Tortanus derjugini, Acartia pacifica, Pseudeuphausia sinica and Sagitta bedoti. Maximum biomass was recorded in August, followed by November and May, and the lowest biomass was recorded in February. Similarly, the highest abundance of zooplankton was observed in August, followed by May, November, and February. Grazing pressure of microzooplankton on phytoplankton in Sanmen Bay existed throughout the year, although the grazing rate of microzooplankton on phytoplankton varied with the season. Estimates for growth rate of phytoplankton ranged from 0.25 d−1 to 0.89 d−1, whereas grazing rate of microzooplankton ranged between 0.18 d−1 and 0.68 d−1 in different seasons. The growth rate of phytoplankton exceeded the grazing rate of microzooplankton in all the seasons. Grazing pressure of microzooplankton on phytoplankton ranged from 16.1% d−1 to 49.1% d−1, and the grazing pressure of microzooplankton on primary production of phytoplankton ranged from 58.3% d−1 to 83.6% d−1 in different seasons.  相似文献   

15.
Dilution experiments were performed to examine the growth and grazing mortality rates of picophytoplankton (<2 μm), nanophytoplankton (2–20 μm), and microphytoplankton (>20 μm) at stations in the Chesapeake Bay (CB), the Delaware Inland Bays (DIB) and the Delaware Bay (DB), in early spring 2005. At station CB microphytoplankton, including chain-forming diatoms were dominant, and the microzooplankton assemblage was mainly composed of the tintinnid Tintinnopsis beroidea. At station DIB, the dominant species were microphytoplanktonic dinoflagellates, while the microzooplankton community was mainly composed of copepod nauplii and the oligotrich ciliate Strombidium sp. At station DB, nanophytoplankton were dominant components, and Strombidium and Tintinnopsis beroidea were the co-dominant microzooplankton. The growth rate and grazing mortality rate were 0.13–3.43 and 0.09–1.92 d−1 for the different size fractionated phytoplankton. The microzooplankton ingested 73, 171, and 49% of standing stocks, and 95, 70, and 48% of potential primary productivity for total phytoplankton at station CB, DIB, and DB respectively. The carbon flux for total phytoplankton consumed by microzooplankton was 1224.11, 100.76, and 85.85 μg C l−1 d−1 at station CB, DIB, and DB, respectively. According to the grazing mortality rate, carbon consumption rate and carbon flux turn over rates, microzooplankton in study area mostly preferred to graze on picophytoplankton, which was faster growing but was lowest biomass component of the phytoplankton. The faster grazing on Fast-Growing-Low-Biomass (FGLB) phenomenon in coastal regions is explained as a resource partitioning strategy. This quite likely argues that although microzooplankton grazes strongly on phytoplankton in these regions, these microzooplankton grazers are passive. Handling editor: K. Martens  相似文献   

16.
Strom  Suzanne 《Hydrobiologia》2002,480(1-3):41-54
Understanding the processes that regulate phytoplankton biomass and growth rate remains one of the central issues for biological oceanography. While the role of resources in phytoplankton regulation (`bottom up' control) has been explored extensively, the role of grazing (`top down' control) is less well understood. This paper seeks to apply the approach pioneered by Frost and others, i.e. exploring consequences of individual grazer behavior for whole ecosystems, to questions about microzooplankton–phytoplankton interactions. Given the diversity and paucity of phytoplankton prey in much of the sea, there should be strong pressure for microzooplankton, the primary grazers of most phytoplankton, to evolve strategies that maximize prey encounter and utilization while allowing for survival in times of scarcity. These strategies include higher grazing rates on faster-growing phytoplankton cells, the direct use of light for enhancement of protist digestion rates, nutritional plasticity, rapid population growth combined with formation of resting stages, and defenses against predatory zooplankton. Most of these phenomena should increase community-level coupling (i.e. the degree of instantaneous and time-dependent similarity) between rates of phytoplankton growth and microzooplankton grazing, tending to stabilize planktonic ecosystems. Conversely, phytoplankton, whose mortality in the sea is overwhelmingly due to microzooplankton grazing, should experience strong pressure to evolve grazing resistence. Strategies may include chemical, morphological, and `nutrient deficit' defenses. Successful deployment of these defenses should lead to uncoupling between rates of phytoplankton growth and microzooplankton grazing, promoting instability in ecosystem structure. Understanding the comparative ecosystem dynamics of various ocean regions will require an appreciation of how protist grazer behavior and physiology influence the coupling between rates of phytoplankton growth and microzooplankton grazing.  相似文献   

17.
Dilution experiments were performed to estimate phytoplankton growth and microzooplankton grazing rates during two Lagrangian surveys in inner and eastern locations of the Eastern North Atlantic Subtropical Gyre province (NAST-E). Our design included two phytoplankton size fractions (0.2–5 µm and >5 µm) and five depths, allowing us to characterize differences in growth and grazing rates between size fractions and depths, as well as to estimate vertically integrated measurements. Phytoplankton growth rates were high (0.11–1.60 d−1), especially in the case of the large fraction. Grazing rates were also high (0.15–1.29 d−1), suggesting high turnover rates within the phytoplankton community. The integrated balances between phytoplankton growth and grazing losses were close to zero, although deviations were detected at several depths. Also, O2 supersaturation was observed up to 110 m depth during both Lagrangian surveys. These results add up to increased evidence indicating an autotrophic metabolic balance in oceanic subtropical gyres.  相似文献   

18.
Pigment-based growth rates of phytoplankton and mortality rates due to microzooplankton grazing were estimated using a dilution method combined with high-performance liquid chromatography (HPLC) pigment analysis in the northwestern North Pacific in autumn 1998. The dilution experiments were conducted at different hydrographic stations in both colder and warmer water masses. No significant difference was found between the growth rate of the phytoplankton community (0.38–0.70 day−1; estimated by chlorophyll a) at the colder and warmer water stations, while the mortality rate (0.15–0.88 day−1; estimated by chlorophyll a) tended to be higher at warmer water stations. The combination of estimates of daily chlorophyll a production and particulate organic carbon (POC) production enabled us to assess the carbon to chlorophyll a ratio (C/chl a) of “new” organic matter produced by living phytoplankton. The method provided an implicit value of the C/chl a of in situ living phytoplankton. The rate estimates from taxon-specific pigments suggested a possibility that chlorophyll b-containing green algae were grazed preferentially by microzooplankton during their active growth, and the standing stock of green algae was more strictly controlled by micrograzer than other algal groups such as diatoms. This result is one possible explanation for the fact that blooms of green algae have not been reported in the open ocean, in contrast with diatoms.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号