Long-term joint effect of nutrients and temperature increase on algal growth in Lake Taihu, China.
Long-term joint effect of nutrients and temperature increase on algal growth in Lake Taihu, China.
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DOI：
10.1016/s1001-0742(10)60396-8
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发表时间：
2011-02
影响因子：
6.9
通讯作者：
Chun Ye;Zhemin Shen;Tao Zhang;M. Fan;Yangming Lei;Jianda Zhang
中科院分区：
文献类型：
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作者：
Chun Ye;Zhemin Shen;Tao Zhang;M. Fan;Yangming Lei;Jianda Zhang
为研究全球变暖和富营养化对太湖水体生态系统的影响，采用基于Arrhenius方程修正的Monod增殖模型，利用太湖长期观测数据，定量研究了太湖藻类生物量与营养盐和温度的关系。为了定性评估哪个因素是改进后的模型的限制，温度变量计算使用年平均气温（AT），水温（WT），和他们的平均温度（ST），而衬底变量计算使用年平均总氮（TN），总磷（TP），和他们的加权聚合（R），分别。9条拟合曲线表明，TN和AT是影响藻类生长的两个重要因子;由于藻类光合作用主要在近水面进行，AT限制藻类生长;浮游植物氮渗漏和沉积物内部磷负荷解释了为什么TN是Monod模型中峰值生物量的最佳预测因子。拟合结果表明，年平均气温每升高1.0°C，年平均藻类生物量增加0.145倍。结果还表明，富营养化程度越高的湖泊，AT对藻类生长的影响越大。从而定量评估和预测年升温和富营养化对水生态系统的长期联合影响。
To study how global warming and eutrophication affect water ecosystems, a multiplicative growth Monod model, modified by incorporating the Arrhenius equation, was applied to Lake Taihu to quantitatively study the relationships between algal biomass and both nutrients and temperature using long-term data. To qualitatively assess which factor was a limitation of the improved model, temperature variables were calculated using annual mean air temperature (AT), water temperature (WT), and their average temperature (ST), while substrate variables were calculated using annual mean total nitrogen (TN), total phosphorus (TP), and their weighted aggregate (R), respectively. The nine fitted curves showed that TN and AT were two important factors influencing algal growth; AT limited growth as algal photosynthesis is mainly carried out near the water surface; N leakage of phytoplankton and internal phosphorus load from sediment explains why TN was the best predictor of peak biomass using the Monod model. The fitted results suggest that annual mean algal biomass increased by 0.145 times when annual mean AT increased by 1.0°C. Results also showed that the more eutrophic the lake, the greater the effect AT had on algal growth. Subsequently, the long-term joint effect of annual temperature increase and eutrophication to water ecosystems can be quantitatively assessed and predicted.