Hu Zhenghua, Xiao Qitao, Yang Jinbiao, Xiao Wei, Wang Wei, Liu Shoudong, Lee Xuhui
Yale-NUIST Center on Atmospheric Environment, Jiangsu Key Laboratory of Agricultural Meteorology & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Jiangsu Meteorological Bureau, Nanjing 210008, China.
Int J Environ Res Public Health. 2015 Apr 1;12(4):3691-706. doi: 10.3390/ijerph120403691.
With continuous measurements of dissolved oxygen, temperature, irradiance, and wind speed, as well as frequent measurements of pH, oxidation-reduction potential, and algal chlorophyll, temporal dynamics and drivers of ecosystem metabolism in a large nutrient-rich shallow lake (Lake Taihu) are tested in this study. The results show that the dissolved oxygen concentrations in the lake fluctuate annually. They increase in autumn and winter with a peak value of 14.19 mg·L-1 in winter, and decrease in spring and summer with a trough value of 6.40 mg·L-1 in summer. Gross primary production (GPP), ecosystem respiration (R), and net ecosystem production (NEP) increase in summer, with their peak values in late summer and autumn, and decrease in winter and spring. Mean values of GPP, R and NEP are 1.75 ± 0.06 (Mean ± SE), 1.52 ± 0.05, and 0.23 ± 0.03 g O2 m-3·d-1, respectively. It is also found that water temperature and surface irradiance are the best predictors of GPP and R, while water temperature (wind speed) has a significantly positive (negative) relationship with NEP. The findings in this study suggest that Lake Taihu is a net autotrophic ecosystem, and water temperature and surface irradiance are the two important drivers of lake metabolism.
通过对溶解氧、温度、辐照度和风速进行连续测量，以及对pH值、氧化还原电位和藻类叶绿素进行频繁测量，本研究测试了大型富营养浅水湖泊（太湖）生态系统代谢的时间动态及其驱动因素。结果表明，该湖泊中的溶解氧浓度每年波动。它们在秋冬季节升高，冬季达到峰值14.19mg·L-1，而在春夏季节降低，夏季达到谷值6.40mg·L-1。总初级生产力（GPP）、生态系统呼吸（R）和净生态系统生产力（NEP）在夏季升高，在夏末和秋季达到峰值，而在冬季和春季降低。GPP、R和NEP的平均值分别为1.75±0.06（均值±标准误）、1.52±0.05和0.23±0.03g O2 m-3·d-1。研究还发现，水温与表面辐照度是GPP和R的最佳预测因子，而水温（风速）与NEP呈显著正（负）相关。本研究的结果表明，太湖是一个自养型生态系统，水温和表面辐照度是湖泊代谢的两个重要驱动因素。
