安徽武昌湖丰、枯水期浮游植物初级生产力特征及其与环境因子的关系  被引量:6

Characteristics of phytoplankton primary productivity in wet and dry seasons and its correlations with environmental factors in Lake Wuchang, Anhui province

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作  者:李学梅[1] 孟子豪 胡飞飞 刘璐 龚森森 朱永久[1] 杨德国[1] LI Xue-mei;MENG Zi-hao;HU Fei-fei;LIU Lu;GONG Sen-sen;ZHU Yong-jiu;YANG De-guo(Key Laboratory of Freshwater Biodiversity Conservation,Ministry of Agriculture and Rural Affairs of China/Yangtze River Fisheries Research Institute,Chinese Academy of Fishery Sciences,Wuhan 430223,China)

机构地区:[1]中国水产科学研究院长江水产研究所,农业农村部淡水生物多样性保护重点实验室,武汉430223

出  处:《淡水渔业》2021年第6期3-10,共8页Freshwater Fisheries

基  金:中国水产科学研究院基本科研业务费(2020XT1302);中国水产科学研究院基本科研业务费(2020TD57);财政部和农业农村部:现代农业产业技术体系专项资金(CARS-46)。

摘  要:浮游植物初级生产力是水域生态系统的主要能量来源,是湖泊合理开展增殖渔业的重要依据。本研究于2019年8月(丰水期)和12月(枯水期)对安徽武昌湖不同样点进行水样采集,测定叶绿素a浓度(Chl-a)、水质理化参数。通过垂向归纳模型(VGPM)估算浮游植物初级生产力,分析其时空分布特征及主要的影响因子。结果显示:武昌湖浮游植物初级生产力出现了明显的季节性差异,丰水期初级生产力均值为(523.56±388.48)mg C/(m2·d),显著高于枯水期均值(53.37±28.05)mg C/(m2·d)。在空间分布上,丰水期大部分湖区生产力水平处于平均值附近,而枯水期生产力分布出现了明显的高值区,为离乡镇较近的湖泊边缘区。Pearson相关性分析显示,丰水期初级生产力与温度(T)和Chl-a浓度呈显著正相关,与固体悬浮物(TSS)和化学需氧量(CODMn)浓度呈显著负相关,而枯水期则与Chl-a浓度和TSS呈显著正相关。进一步采用多元逐步回归分析构建了丰水期和枯水期武昌湖初级生产力与环境因子的回归方程式,分别为Zscore(PPeu)=0.917 Zscore(Chl-a)+0.302 Zscore(SD)-0.175 Zscore(T)和Zscore(PPeu)=0.598 Zscore(T)+0.373 Zscore(Chl-a)-0.039 Zscore(DO)。结果表明武昌湖初级生产力变化主要受到水体T、Chl-a、DO浓度等因子影响。The primary productivity of phytoplankton is the aquatic ecosystem’s main energy source.It also plays an important role in the reasonable development of proliferative fishery in lakes.In this study, water samples from Lake Wuchang were collected in August(wet season) and December(dry season) in 2019 to measure the chlorophyll·a concentration and corresponding physical factors.The phytoplankton primary productivity was calculated by a vertically generalized production model(VGPM),and its spatial and temporal distribution characteristics and the main influencing factors were analyzed.The results showed that there were significant seasonal differences in the primary productivity of phytoplankton in Lake Wuchang.The value of primary productivity in the wet season was(523.56±388.48) mg C/(m2·d),which was significantly higher than that in the dry season(53.37± 28.05) mg C/(m2·d).In the spatial analysis, most of the primary productivity level was near the mean value in the wet season, while it appeared obvious high-value area near the edge of the lake in the dry season.Pearson correlation analysis showed that the primary productivity of phytoplankton in Lake Wuchang was positively correlated with T and Chl-a concentrations and negatively correlated with TSS and CODMn concentrations in the wet season.Meanwhile, it was positively correlated with Chl-a and TSS in the dry season.Furthermore, multiple stepwise regression analysis was used to construct the regression equations between primary productivity and environmental factors in the wet season and the dry season, as Zscore(PPeu)=0.917 Zscore(Chl-a)+0.302 Zscore(SD)-0.175 Zscore(T) and Zscore(PPeu)= 0.598 Zscore(T)+0.373 Zscore(Chl-a)-0.039 Zscore(DO),repectively.The results showed that the primary productivity changes were mainly affected by T,the concentrations of Chl-a and DO in Lake Wuchang.

关 键 词:武昌湖 初级生产力 VGPM模型 Pearson相关性分析 多元逐步回归 

分 类 号:S917.3[农业科学—水产科学]

 

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