Author
Listed:
- Zhenghua Hu
(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
These authors contributed equally to this work.)
- Qitao Xiao
(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)
- Jinbiao Yang
(Jiangsu Meteorological Bureau, Nanjing 210008, China
These authors contributed equally to this work.)
- Wei Xiao
(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)
- Wei Wang
(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)
- Shoudong Liu
(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)
- Xuhui Lee
(School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA)
Abstract
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 O 2 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.
Suggested Citation
Zhenghua Hu & Qitao Xiao & Jinbiao Yang & Wei Xiao & Wei Wang & Shoudong Liu & Xuhui Lee, 2015.
"Temporal Dynamics and Drivers of Ecosystem Metabolism in a Large Subtropical Shallow Lake (Lake Taihu),"
IJERPH, MDPI, vol. 12(4), pages 1-16, April.
Handle:
RePEc:gam:jijerp:v:12:y:2015:i:4:p:3691-3706:d:47599
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