摘要
为明晰藻细胞最基本属性细胞形态在藻种时空分布与竞争演替中扮演的角色,选择来自蓝藻、绿藻等藻门的45个具有不同细胞形态特征的常见藻种,通过实验室分析藻细胞形态特征参数与光合特征间相关关系,并基于于桥水库藻类种群监测数据探究藻类形态时空分布的驱动因素。研究发现,反映藻细胞光合作用过程中捕光潜力的细胞投影面积(CPA)是影响藻种光合特性的关键形态学参数;通过构建CPA与光系统II中调节性能量耗散量子产量(Y(NPQ))、光响应曲线初始斜率(α)、最大电子传递速率(ETRmax)等光合参数建的关系模型,发现CPA与Y(NPQ)呈现强正相关关系(R^(2)=0.31±0.01,p<0.001),Y(NPQ)是影响藻类种群时空分布的关键参数。于桥水库中藻类种群的综合Y(NPQ)具有显著季节性,由春季到夏季逐渐降低,夏季藻类综合Y(NPQ)最低(0.057±0.075),秋冬季呈现增加趋势,冬季藻类综合Y(NPQ)最高(0.072±0.062)。此外,藻类种群综合Y(NPQ)随水深增加呈降低趋势,Y(NPQ)是影响藻类形态空间分布的重要因素。基于于桥水库数据制定了以水体Y(NPQ)为核心的有害藻类预警防控体系,以期为实现针对水源地不同形态有害藻类的预警提供参考。
The aim of this study is to clarify the role of cell morphology,the most basic property of algal cells,in the spatiotemporal distribution and competitive succession of algae species.Therefore,45 common algae species with different cell morphological characteristics from alga,such as cyanobacteria and green algae were selected in this study.The correlation between algal cell morphological characteristics and photosynthetic characteristics was analyzed in the laboratory,and the driving factors of the spatial and temporal distribution of algal morphology were explored based on the algae population monitoring data of Yuqiao Reservoir.It was found that the projected cell area(CPA),which reflected the light-catching potential of algal cells during photosynthesis,was a key morphological parameter affecting photosynthetic characteristics of algal species.By constructing the relationship model between CPA and the regulatory energy dissipation quantum yield(Y(NPQ)),initial slope of photoresponse curve(α),maximum electron transport rate(ETRmax)and other photosynthetic parameters in photosystem II,it is found that there is a strong positive correlation between CPA and Y(NPQ)(R^(2)=0.31±0.01,p<0.001),Y(NPQ)was the key parameter affecting the spatial and temporal distribution of algae population.The comprehensive Y(NPQ)of the algae population in Yuqiao Reservoir showed significant seasonality and gradually decreased from spring to summer.The comprehensive Y(NPQ)of the algae population in summer was the lowest(0.057±0.075),and it showed an increasing trend in autumn and winter.The comprehensive Y(NPQ)of the algae population in winter was the highest(0.072±0.062).In addition,Y(NPQ)of algae population decreased with the increase of water depth,and Y(NPQ)was an important factor affecting the spatial distribution of algae morphology.Based on the data of Yuqiao Reservoir,this study developed an early warning and control system for harmful algae with water body Y(NPQ)as the core,in order to realize the early warning of different forms of harmful algae in water sources.
作者
孙旭
苏命
曹腾心
艾宇帆
厉巍
杨敏
SUN Xu;SU Ming;CAO Tengxin;AI Yufan;LI Wei;YANG Min(East China University of Science and Technology,Shanghai200237,China;State Key Laboratory of Environmental Aquatic Chemistry,Research Center for Eco‐Environmental Sciences,Chinese Academy of Sciences,Beijing100085,China;University of Chinese Academy of Sciences,Beijing100049,China)
出处
《环境工程学报》
CAS
CSCD
北大核心
2023年第10期3148-3158,共11页
Chinese Journal of Environmental Engineering
基金
国家自然科学基金资助项目(52030002,51878649,52170076)
国家重点研发计划项目(2022YFC3203603)
中央高校基本科研业务费专项资金(JKB01221710)
中国科学院青年促进基金。
关键词
形态
光合特性参数
藻类
时空分布
morphology
photosynthetic parameters
algal
spatiotemporal distribution