The relationships of meteorological factors and nutrient levels with phytoplankton biomass in a shallow eutrophic lake dominated by cyanobacteria, Lake Dianchi from 1991 to 2013

The relationships of meteorological factors and nutrient levels with phytoplankton biomass in a shallow eutrophic lake dominated by cyanobacteria, Lake Dianchi from 1991 to 2013
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DOI:
10.1007/s11356-016-6748-4
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发表时间:
2016-04
影响因子:
5.8
通讯作者:
Qichao Zhou;Yunlin Zhang;D. Lin;Kun Shan;yu luo;Lei Zhao;Zhiwei Tan;Lirong Song
Qichao Zhou;Yunlin Zhang;D. Lin;Kun Shan;yu luo;Lei Zhao;Zhiwei Tan;Lirong Song
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Qichao Zhou;Yunlin Zhang;D. Lin;Kun Shan;yu luo;Lei Zhao;Zhiwei Tan;Lirong Song

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利用1991-2013年的年际和月际数据,分析了气象因子和营养盐水平对滇池外海盆蓝藻优势区浮游植物生物量的影响。年际ln(chl. a)与平均气温、平均最低气温和平均最高气温均呈正相关,Δln(chl. a)与ΔTP呈显著正相关。ln(chl. a)与TP浓度呈正相关,与旱季日照时数和风速呈负相关,与雨季TN和TP浓度呈正相关。此外,TP是最有影响力的因素,影响蓝藻水华动态在整个期间和旱季,和TN和TP是最重要的因素在雨季,确定的相对重要性分析。年际分析结果表明,气象因子和营养盐水平对蓝藻水华的发生有重要的控制作用。这些因素的相对重要性可能会根据降水模式而变化。因此,在水华控制策略中应考虑气候变化调节和富营养化管理。在整个期间和旱季应优先考虑降低TP负荷,而在雨季应首先考虑降低TN和TP负荷。此外,今后应进一步研究更频繁和更完整的长期数据。
Long-term interannual (1991–2013) and monthly (1999–2013) data were analyzed to elucidate the effects of meteorological factors and nutrient levels on phytoplankton biomass in the cyanobacteria-dominated Waihai basin of Lake Dianchi. The interannual ln(chl.a) exhibited positive correlations with the mean air temperature, mean minimum air temperature, and mean maximum air temperature; in addition, a positive relationship between Δln(chl.a) and ΔTP was observed throughout the period. Additionally, ln(chl.a) exhibited a positive correlation with the TP concentration, negative correlations with the sunshine hours and wind speed during the dry season, and positive correlations with the TN and TP concentrations during the rainy season. Furthermore, TP was the most influential factor affecting cyanobacterial bloom dynamics throughout the entire period and during the dry season, and TN and TP were the most important factors during the rainy season, as determined by relative importance analysis. The results of this study based on interannual analysis demonstrated that both meteorological factors and nutrient levels have important roles in controlling cyanobacterial bloom dynamics. The relative importance of these factors may change according to precipitation patterns. Thus, climate change regulation and eutrophication management should be considered in strategies for bloom control. Decreasing the TP load should be prioritized throughout the entire period and during the dry season, and decreasing the TN and TP loads should be considered initially during the rainy season. In addition, further studies of more frequent and complete data acquired over a longer period of time should be conducted in the future.