Cu(Ⅱ)对海洋浮游植物生长影响的初步研究  

Effects of Cu(Ⅱ)on the Growth of Marine Algae

作　　者：张莹莹[1,2] 王修林[2] 战玉杰[3] 

机构地区：[1]盐城工学院化学与生物工程学院,盐城224000 [2]中国海洋大学化学化工学院,青岛266100 [3]中国海洋大学图书馆,青岛266100

出　　处：《生态毒理学报》2009年第1期114-122,共9页Asian Journal of Ecotoxicology

基　　金：盐城工学院博士启动基金;国家自然科学基金重点项目(No.40136020)

摘　　要：选择赤潮异弯藻(Heterosigma akashiwo Hada)、三角褐指藻(Pheodactylum tricornutum Bohlin)、海洋原甲藻(Prorocentrum micans Ehrenber)、裸甲藻(Gymnodinim sp.)、亚心型扁藻(Platymonas subcordiforus)、旋链角毛藻(Chaetoceros curvisetus Cleve)、中肋骨条藻(Skeletonema costatum(Greville)Cleve)、青岛大扁藻(Platymonashelgolanidica)8种浮游植物,采用一次培养实验方法,研究了重金属Cu(Ⅱ)对海洋浮游植物生长的影响,并在Logistic生长模型的基础上结合Lorentz方程和GaussAmp方程,引入Cu(Ⅱ)浓度项,建立了Cu(Ⅱ)胁迫下海洋浮游植物生长动力学模型——Logistic-W模型,描述了Cu(Ⅱ)存在条件下海洋浮游植物的生长过程.结果表明,较高浓度Cu(Ⅱ)对8种浮游植物的生长普遍具有抑制作用,而较低浓度Cu(Ⅱ)则可促进旋链角毛藻、中肋骨条藻、青岛大扁藻的生长;Lorentz方程可以描述Cu(Ⅱ)浓度对浮游植物生长速率参数的影响,而GaussAmp方程可以描述Cu(Ⅱ)浓度对浮游植物生物量的影响;Cu(Ⅱ)胁迫下浮游植物的生长可用动力学方程Logistic-W描述,实验验证该模型合理,其拟合相关系数R2为0.817～0.993,平均为0.916.论文提出的生长模型可以预测不同浓度Cu(Ⅱ)胁迫下海洋浮游植物的生长情况,也可根据浮游植物的生长情况推测相应海区的Cu(Ⅱ)浓度.Effects of Cu （ Ⅱ ） on the growth of 8 species of marine algae （Chaetoceros curvisetus, Platymonas helgolanidica, Skeletonema costatum （Greville） Cleve, Gymnodinim sp., Pheodactylum tricornutum Bohlin, Heterosigma akashiwo Hada, Prorocentrum micans Ehrenber and Platymonas subcordiforus） were studied using the batch culture experiment. With consideration of effect of Cu（ Ⅱ ） on the growth of marine algae, A growth model, named Logistic-W model, was developed by incorporating Logistic growth model with Lorentz equation and GaussAmp equation. Results showed that high-dose Cu （ Ⅱ ） inhibited the growth of 8 species of marine algae and low-dose Cu （Ⅱ） promoted the growth of marine algae, such as Chaetoceros curvisetus, Platymonas helgolanidica and Skeletonema costatum （Greville） Cleve. Lorentz equation could describe the effect of Cu （ Ⅱ ） on the growth rate constant while GaussAmp equation could describe the effect of Cu （ Ⅱ） on the final biomass of algae. The growth of marine algae under the stress of Cu （ Ⅱ） could be described by the Logistic-W model. It was demonstrated that the growth model showed good fitting for the experimental data and the related coefficients R2 was 0.817-0.993 with an average of about 0.916. The model could predict the growth of marine algae under different concentrations of Cu （Ⅱ）, and deduce the concentration of Cu （ Ⅱ ） according to the growth of marine algae.

关 键 词：Cu(Ⅱ) 海洋浮游植物 生长模型 

分 类 号：X171.5[环境科学与工程—环境科学]