Impacts of extreme meteorological events on metabolism of Lake Eymir using high frequency automated lake observation station

Tolunay, Duygu
One year measurements between September 2015 and August 2016 from high frequency automated lake observation station were collected to estimate metabolism of Lake Eymir based on diel oxygen changes. Estimated gross primary production (GPP), respiration (RES) and net ecosystem production (NEP) were used to assess the role of Lake Eymir in carbon cycling and the response of lake ecosystem to extreme meteorological events. In addition to compare different approaches seven distinct k600 methods and five metabolism models were used. According to results, even Lake Eymir has been experiencing eutrophication more than 20 years, the lake acts as carbon source to atmosphere throughout the year except the algal bloom periods. Despite the fact that, during extreme wind events, disruption of thermal stratification induced emission of CO2, mixing of the lake increased unrealistic estimations of metabolism probably due to lack of model inputs. In addition, it has been found that results of piston velocity methods vary more than the results of metabolism models.


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Citation Formats
D. Tolunay, “Impacts of extreme meteorological events on metabolism of Lake Eymir using high frequency automated lake observation station,” M.S. - Master of Science, Middle East Technical University, 2018.