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Temporal Dynamics and Drivers of Ecosystem Metabolism in a Large Subtropical Shallow Lake (Lake Taihu)

Bibliographic Data

ID15511518
AuthorsZhenghua Hu (0000-0003-4316-776X, Nanjing University of Information Science and Technology, corresponding author), Qitao Xiao (0000-0003-4255-3183, Nanjing University of Information Science and Technology), Jinbiao Yang (Jiangsu Provincial Meteorological Bureau), Wei Xiao (0009-0000-7333-5520, Nanjing University of Information Science and Technology), Wei Wang (0000-0001-5806-2368, Nanjing University of Information Science and Technology), Shoudong Liu (0000-0001-9637-9315, Nanjing University of Information Science and Technology), Xuhui Lee (0000-0003-1350-4446, Yale University)
Year2015
Volume12
Issue4
Pages3691-3706
Publication date2015-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph120403691
PMID25837347
PMCIDPMC4410210
OpenAlexW2028886516
LanguageEN
References cited39

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

Atmospheric sciences · Biology · Botany · Chlorophyll a · Ecosystem · Ecosystem respiration · Geography · Hydrology (agriculture · Irradiance · Lake ecosystem · Primary production · Subtropics · Water level · Aquatic Ecosystems and Phytoplankton Dynamics · Environmental Science · Fish Ecology and Management Studies · Marine and coastal ecosystems · Ecology · Geology

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