太湖湖岸带浮游植物初级生产力特征及影响因素

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 太湖湖岸带浮游植物初级生产力特征及影响因素 DOI: 10.5846/stxb201207251059 作者: 作者单位: 无锡市太湖湖泊治理有限责任公司,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,无锡市太湖湖泊治理有限责任公司 作者简介: 通讯作者: 中图分类号: 基金项目: 国家水体污染控制与治理科技重大专项资助项目（2012ZX07101-010，2012ZX07101-013）；中国科学院南京地理与湖泊研究所“一三五”资助项目（NIGLAS2012135002）；工信部科技重大专项资助项目（2010ZX03006-006） Characteristic of phytoplankton primary productivity and influencing factors in littoral zone of Lake Taihu Author: Affiliation: Wuxi Taihu Lake Management Co,Ltd,State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences, Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:利用高频溶解氧监测，估算了太湖梅梁湾湖岸带浮游植物初级生产力的高频变化特征。结合同步气象监测及浮游植物、浮游动物和营养盐的周年逐周观测数据，分析了气象和环境条件对富营养化湖泊浮游植物初级生产力的影响。结果发现，高频溶解氧监测估算的初级生产力变化与浮游藻类生物量的变化一致，能够反映出浮游植物生产力的昼夜变化、季节变化等规律。统计分析表明，气温对太湖这一富营养化湖泊初级生产力影响很大；氮的供给与浮游动物的选择性牧食也是影响浮游植物初级生产力的重要因素。湖岸带的水华堆积过程对初级生产力影响巨大，气象、水文过程又加剧了蓝藻水华初级生产力的变化幅度，反映出富营养化湖泊初级生产力可能存在极大的时空不均一性。研究表明，溶解氧高频监测法估算初级生产力能够捕捉到湖泊初级生产力的快速变化过程，可以用于富营养化湖泊初级生产力监测、蓝藻水华灾害预警中。 Abstract:In the lakes lacking higher aquatic plants, phytoplankton is the most important primary producer, and the basis of material circulation and energy flow in the aquatic ecosystems. Knowledge of phytoplankton primary productivity and its influencing factors is fundamental to the understanding of lake ecosystem dynamics and the assessment of lake ecosystem service functions. Although phytoplankton primary productivity in lakes had frequently been monitored and estimated using the black-and-white bottles, carbon isotope, remote sensing and optical data, there has a limited knowledge for phytoplankton primary productivity high-frequency variation and influencing factors. In our study, we analyzed phytoplankton primary productivity characteristics and influencing factors, using the high frequency monitoring data and synchronous anniversary in situ observation data in littoral zone of Meiliang Bay, Lake Taihu in 2010. Because the high frequency automatic monitoring data was missing from May to July, we used screening high frequency monitoring dissolved oxygen data to estimated phytoplankton daily primary productivity. Weekly results showed that the lowest phytoplankton primary productivity was recorded during the period from February to April with the mean daily gross primary productivity (GPP) less than 0.20 mgO2·L-1·h-1. During the period from August to October, phytoplankton primary productivity raised, and it reached the highest throughout the year in the second week of September with the maximal mean daily GPP of 1.34 mgO2·L-1·h-1, net ecosystem productivity (NEP) of 0.44 mgO2·L-1·h-1. During the period from November to December, phytoplankton primary productivity reduced with decreasing water temperature.Correlation analysis showed that the significant relationships were found between main components of phytoplankton (Cyanophyta, Chlorophyta, and Bacillariophyta) and GPP, NEP, and the trend of phytoplankton primary productivity was similar with the change of phytoplankton biomass. Thus the diurnal and seasonal variations of phytoplankton primary productivity can be reflected by the high frequency monitoring dissolved oxygen, making it is feasible to calculate phytoplankton primary productivity using high frequency algal bloom data. Statistical analysis also showed that water temperature is an important factor influencing the change of phytoplankton primary productivity in Lake Taihu. The supply of nitrogen and the selectivity prey of zooplankton were also important for the variations of phytoplankton primary productivity. The special topographic of lakeshore played an essential role in progress of algal piled, then impacted primary productivity; and this change was exacerbated by meteorological and hydrological processes, which reflected spatial and temporal heterogeneity of phytoplankton primary productivity of eutrophic lake. Based on the meteorological factors data during two algae accumulating periods in August and December, primary productivity changes are significantly influenced by meteorological factors. If there were large amounts of algae with Cyanobacteria as the dominant species, adequate sunlight to promote phytoplankton proliferating quickly, and steady wind to drive algae accumulating, phytoplankton primary productivity significantly increased in the lakeshore region. The high frequency dissolved oxygen monitoring can capture those algae accumulating processes. Thus the high frequency dissolved oxygen monitoring can be used in the monitoring of phytoplankton primary productivity and the warning of algal bloom disaster. 参考文献 相似文献 引证文献