期刊
JOURNAL OF GREAT LAKES RESEARCH
卷 39, 期 3, 页码 476-483出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jglr.2013.06.008
关键词
Lake Poyang; Yangtze River; Phytoplankton; Light; Nutrient
资金
- National Basic Research Program of China [2012CB417005]
- Science and Technology Major Project of Jiangxi Province [20114ABG01100]
The composition and both the temporal and spatial distribution of phytoplankton were studied in Lake Poyang; samples were collected every 3 months from January 2009 to October 2011 at 15 sites. The phytoplankton community was found to belong to seven groups, with Bacillariophyta dominating. No significant difference was observed in the phytoplankton community structure at any of the sites (p = 02371), except one site; however, the structure was significantly different with regard to annual and seasonal trends (p = 0.0001 and p < 0.0001, respectively). Aulacoseira granulata, Synedra acus, Fragilaria virescens, and Cuptomonas erosa were the main contributors to the dissimilarity in temporal distribution. Although the nutrient concentrations for 3 years combined were relatively high (mean total nitrogen was 1.719 mg L-1 and mean total phosphorus was 0.090 mg L-1), phytoplankton biomass was low (mean total biomdss of 0.203 mg L-1). The underwater light condition, as indicated by the Secchi depth, was shown to be the principal limiting factor in regulating the growth of phytoplankton, and the transparency coincided with biomass variation on a seasonal level. The effect of nutrients on phytoplankton may be concealed by the water level, which varied over a wide range among different seasons. However, the annual trend for the biomass was associated with the nutrient concentration, which increased yearly and initiated the development of phytoplankton. The biomass is high in the south and low in the north, which may be the result of greater underwater light climate and high nutrient concentrations in the southern area. (C) 2013 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据