Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes
Ecosystem metabolism and the contribution of carbon dioxide from lakes to the atmosphere can be estimated from free-water gas measurements through the use of mass balance models, which rely on a gas transfer coefficient (k) to model gas exchange with the atmosphere. Theoretical and empirically based models of krange in complexity from wind-driven power functions to complex surface renewal models; however, model choice is rarely considered in most studies of lake metabolism. This study used high-frequency data from 15 lakes provided by the Global Lake Ecological Observatory Network (GLEON) to study how model choice of kinfluenced estimates of lake metabolism and gas exchange with the atmosphere. We tested 6 models of k on lakes chosen to span broad gradients in surface area and trophic states; a metabolism model was then fit to all 6 outputs of k data. We found that hourly values for k were substantially different between models and, at an annual scale, resulted in significantly different estimates of lake metabolism and gas exchange with the atmosphere.
Citation Information
Publication Year | 2016 |
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Title | Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes |
DOI | 10.1080/IW-6.4.836 |
Authors | Hilary Dugan, R. Iestyn Woolway, Arianto Santoso, Jessica Corman, Aline Jaimes, Emily Nodine, Vijay P. Patil, Jacob A. Zwart, Jennifer A. Brentrup, Amy Hetherington, Samantha K. Oliver, Jordan S. Read, Kirsten Winter, Paul Hanson, Emily K. Read, Luke Winslow, Kathleen Weathers |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Inland Waters |
Index ID | 70189339 |
Record Source | USGS Publications Warehouse |
USGS Organization | Office of Water Information |