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砷污染治理背景下阳宗海浮游植物生物量的时空分布模式及驱动因子

郑昕 孔令阳 陈光杰 陈丽 仇菲 张涛 张昭阳 尚丽 白宁静 陈小林 赵帅营

湖泊科学2024,Vol.36Issue(1):34-42,9.
湖泊科学2024,Vol.36Issue(1):34-42,9.DOI:10.18307/2024.0111

砷污染治理背景下阳宗海浮游植物生物量的时空分布模式及驱动因子

Spatio-temporal distribution and driving factors of phytoplankton biomass in Lake Yang-zong under the background of arsenic pollution treatment

郑昕 1孔令阳 1陈光杰 1陈丽 1仇菲 1张涛 1张昭阳 1尚丽 1白宁静 1陈小林 1赵帅营1

作者信息

  • 1. 云南师范大学地理学部,云南省高原地理过程与环境变化重点实验室,昆明 650500
  • 折叠

摘要

Abstract

Arsenic contamination has become an important environmental issue of some water bodies in China under the background of economic development and basin exploitation.However,limited attention has been paid to the effects of arsenic pollution preven-tion and ecological restoration.Phytoplankton is the key primary producer in lake ecosystems.Arsenic can directly affect the phyto-plankton growth,species succession and primary productivity,and has become a sensitive indicator of arsenic pollution and its eco-logical effects.Lake Yangzong has a long history of arsenic pollution and subsequent remediation efforts.We conducted a seasonal survey on phytoplankton and environmental factors of Lake Yangzong covering the south,central and north parts of the lake from 2015 to 2019.The survey data were used to identify the spatio-temporal pattern and driving factors of phytoplankton biomass,and to evaluate the mechanism of phytoplankton biomass changes and effect of eco-restoration under arsenic pollution and treatment.The results showed that the phytoplankton was mainly composed of Cyanophyta.The phytoplankton biomass was in a range of 0.7-30.4 mg/L,with the lowest value in 2016((3.0±1.8)mg/L)and the highest value in 2017((10.5±8.9)mg/L).The phytoplankton biomass showed significant seasonal variations,but did not show significant spatial difference.The correlation analysis showed that the phytoplankton biomass had a significantly negative correlation with arsenic concentration and transparency,but had a signifi-cantly positive correlation with water temperature and pH.The multivariable linear regression model further showed that temperature and arsenic were the key environmental factors in driving the change of phytoplankton biomass.Thus,the arsenic residues in water body still inhibit phytoplankton growth after remediation in heavy metal polluted lakes,indicating that heavy metal pollutants may have long-term effects due to sediment release and enduring ecotoxicological impacts.

关键词

阳宗海/浮游植物/生物量/砷污染/污染治理

Key words

Lake Yangzong/phytoplankton/biomass/arsenic pollution/pollution treatment

引用本文复制引用

郑昕,孔令阳,陈光杰,陈丽,仇菲,张涛,张昭阳,尚丽,白宁静,陈小林,赵帅营..砷污染治理背景下阳宗海浮游植物生物量的时空分布模式及驱动因子[J].湖泊科学,2024,36(1):34-42,9.

基金项目

国家自然科学基金项目(32060276,31960250,41461096)、云南省基础研究计划项目面上项目(202301AT070079)、云南省科技计划项目(202203AC100002-02)和异龙湖高原浅水湖泊云南省野外科学观测研究站项目(202305AM070002)联合资助. (32060276,31960250,41461096)

湖泊科学

OA北大核心CSTPCD

1003-5427

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