白洋淀典型抗生素与底栖藻类群落指标相关性研究

张璐璐, 申立娜, 张玲菲, 秦珊, 姚波, 崔建升. 白洋淀典型抗生素与底栖藻类群落指标相关性研究[J]. 生态毒理学报, 2020, 15(1): 131-145. doi: 10.7524/AJE.1673-5897.20190803001
引用本文: 张璐璐, 申立娜, 张玲菲, 秦珊, 姚波, 崔建升. 白洋淀典型抗生素与底栖藻类群落指标相关性研究[J]. 生态毒理学报, 2020, 15(1): 131-145. doi: 10.7524/AJE.1673-5897.20190803001
Zhang Lulu, Shen Lina, Zhang Lingfei, Qin Shan, Yao Bo, Cui Jiansheng. The Correlation between Periphyton Community Indicator and Typical Antibiotics in Baiyangdian Lake[J]. Asian Journal of Ecotoxicology, 2020, 15(1): 131-145. doi: 10.7524/AJE.1673-5897.20190803001
Citation: Zhang Lulu, Shen Lina, Zhang Lingfei, Qin Shan, Yao Bo, Cui Jiansheng. The Correlation between Periphyton Community Indicator and Typical Antibiotics in Baiyangdian Lake[J]. Asian Journal of Ecotoxicology, 2020, 15(1): 131-145. doi: 10.7524/AJE.1673-5897.20190803001

白洋淀典型抗生素与底栖藻类群落指标相关性研究

    作者简介: 张璐璐(1985-),女,博士,副教授,研究方向为环境变化对湖泊生态系统结构和功能的影响,E-mail:zhanglulu19850703@163.com
  • 基金项目:

    河北省社会科学基金资助项目(HB19YJ023)

  • 中图分类号: X171.5

The Correlation between Periphyton Community Indicator and Typical Antibiotics in Baiyangdian Lake

  • Fund Project:
  • 摘要: 底栖藻类作为湖泊中主要的生产者,其对抗生素较为敏感,目前有关喹诺酮类抗生素(quinolones, QNs)与底栖藻类群落的相关性研究较为缺乏,因此本研究选取白洋淀为研究区,利用超高效液相色谱串联质谱法(HPLC-MS/MS)检测水体QNs浓度,并分析底栖藻类群落结构和功能指标,利用商值法(RQ)计算QNs的生态风险值,建立QNs生态风险与底栖藻类群落指标的相关性。研究结果如下。(1) 白洋淀QNs浓度存在明显时空差异。就空间分布而言,QNs的最高浓度出现在生境1(1 309.80 ng·L-1);就时间变化而言,4月QNs浓度最高;就QNs种类而言,氟甲喹(flumequine, FLU)浓度最高(1 054.38 ng·L-1);(2) 就藻类群落指标的空间分布而言,除藻密度(AD)、叶绿素a(Chl a)、叶绿素b(Chl b)、叶绿素b/a(Chl b/a)、绿藻比例(CHL)、蓝藻比例(CYA)、碱性磷酸酶(APA)、β-葡萄糖苷酶(GLU)、亮氨酸氨基肽酶(LEU)和无灰干重(AFDW)等指标最大值出现在生境2外,其他指标最大值出现在生境3;就时间分布而言,大部分底栖藻类群落指标11月值高于4月和8月;(3) 除FLU的生态风险处于中等水平外,其余QNs生态风险较低;其中,8月生境2的生态风险值最高(RQ最大值为0.9446);(4) AD、Chl a、Chl b、叶绿素c(Chl c)、Chl b/a与RQCIP和RQFLU呈显著相关,其中Chl a与RQFLU的相关性显著(r = 0.827,P<0.01)。结果表明,底栖藻类结构指标与QNs风险值相关性较为显著,因此,可考虑筛选较为敏感的底栖藻类群落结构指标,为富营养化湖泊生态监测方法研究提供理论基础及相关数据支撑。
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  • 收稿日期:  2019-08-03

白洋淀典型抗生素与底栖藻类群落指标相关性研究

    作者简介: 张璐璐(1985-),女,博士,副教授,研究方向为环境变化对湖泊生态系统结构和功能的影响,E-mail:zhanglulu19850703@163.com
  • 1. 河北科技大学环境科学与工程学院, 石家庄 050000;
  • 2. 河北省污染防治生物技术实验室, 石家庄 050000
基金项目:

河北省社会科学基金资助项目(HB19YJ023)

摘要: 底栖藻类作为湖泊中主要的生产者,其对抗生素较为敏感,目前有关喹诺酮类抗生素(quinolones, QNs)与底栖藻类群落的相关性研究较为缺乏,因此本研究选取白洋淀为研究区,利用超高效液相色谱串联质谱法(HPLC-MS/MS)检测水体QNs浓度,并分析底栖藻类群落结构和功能指标,利用商值法(RQ)计算QNs的生态风险值,建立QNs生态风险与底栖藻类群落指标的相关性。研究结果如下。(1) 白洋淀QNs浓度存在明显时空差异。就空间分布而言,QNs的最高浓度出现在生境1(1 309.80 ng·L-1);就时间变化而言,4月QNs浓度最高;就QNs种类而言,氟甲喹(flumequine, FLU)浓度最高(1 054.38 ng·L-1);(2) 就藻类群落指标的空间分布而言,除藻密度(AD)、叶绿素a(Chl a)、叶绿素b(Chl b)、叶绿素b/a(Chl b/a)、绿藻比例(CHL)、蓝藻比例(CYA)、碱性磷酸酶(APA)、β-葡萄糖苷酶(GLU)、亮氨酸氨基肽酶(LEU)和无灰干重(AFDW)等指标最大值出现在生境2外,其他指标最大值出现在生境3;就时间分布而言,大部分底栖藻类群落指标11月值高于4月和8月;(3) 除FLU的生态风险处于中等水平外,其余QNs生态风险较低;其中,8月生境2的生态风险值最高(RQ最大值为0.9446);(4) AD、Chl a、Chl b、叶绿素c(Chl c)、Chl b/a与RQCIP和RQFLU呈显著相关,其中Chl a与RQFLU的相关性显著(r = 0.827,P<0.01)。结果表明,底栖藻类结构指标与QNs风险值相关性较为显著,因此,可考虑筛选较为敏感的底栖藻类群落结构指标,为富营养化湖泊生态监测方法研究提供理论基础及相关数据支撑。

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