TY - JOUR
T1 - Delving deeper
T2 - Metabolic processes in the metalimnion of stratified lakes
AU - Giling, Darren P.
AU - Staehr, Peter A.
AU - Grossart, Hans Peter
AU - Andersen, Mikkel René
AU - Boehrer, Bertram
AU - Escot, Carmelo
AU - Evrendilek, Fatih
AU - Gómez-Gener, Lluís
AU - Honti, Mark
AU - Jones, Ian D.
AU - Karakaya, Nusret
AU - Laas, Alo
AU - Moreno-Ostos, Enrique
AU - Rinke, Karsten
AU - Scharfenberger, Ulrike
AU - Schmidt, Silke R.
AU - Weber, Michael
AU - Woolway, R. Iestyn
AU - Zwart, Jacob A.
AU - Obrador, Biel
N1 - Funding Information:
The collaboration was made possible by the activities of Networking Lake Observations in Europe (NETLAKE), funded by the European Corporation in Science and Technology (COST) action ES1201. Ideas for this manuscript were initiated at a NETLAKE workshop organized by PAS, BO and E. Jennings in Roskilde, Denmark. Acquisition of Lake Stechlin data was facilitated by grants from the German Federal Ministry of Education and Research (BMBF; no. 033L041B) and the German Research Foundation (DFG Core Facility; no. GE 1775/2-1) to M.O. Gessner, and from the Leibniz Association (project ?TemBi?; SAW-2011-IGB-2) to P. Casper and HPG. We thank S. A. Berger, C. Engelhardt, M.O. Gessner, M. Lentz, J. C. Nejstgaard and A. Penske for provision of ancillary data from Lake Stechlin. Data from Danish lakes were supported by the Danish Centre for Lake Restoration (CLEAR). Data collection from Lake Abant was funded by the Scientific and Technological Research Council of Turkey (TUBITAK) (Grant No: 111Y059). Data collection for El Gergal Reservoir was supported by EMASESA and projects EU- ENV/UK/000604 and CGL2005-04070. Lake Ontario data was provided by B. Weidel and M. Paufve and funding for data collection at Lake Ontario came from the Great Lakes Restoration Initiative, Great Lakes Fishery Commission, and New York State Department of Conservation. Two anonymous reviewers provided comments that greatly improved this manuscript.
Publisher Copyright:
© 2016 Association for the Sciences of Limnology and Oceanography
PY - 2017/5/1
Y1 - 2017/5/1
N2 - Many lakes exhibit seasonal stratification, during which they develop strong thermal and chemical gradients. An expansion of depth-integrated monitoring programs has provided insight into the importance of organic carbon processing that occurs below the upper mixed layer. However, the chemical and physical drivers of metabolism and metabolic coupling remain unresolved, especially in the metalimnion. In this depth zone, sharp gradients in key resources such as light and temperature co-occur with dynamic physical conditions that influence metabolic processes directly and simultaneously hamper the accurate tracing of biological activity. We evaluated the drivers of metalimnetic metabolism and its associated uncertainty across 10 stratified lakes in Europe and North America. We hypothesized that the metalimnion would contribute highly to whole-lake functioning in clear oligotrophic lakes, and that metabolic rates would be highly variable in unstable polymictic lakes. Depth-integrated rates of gross primary production (GPP) and ecosystem respiration (ER) were modelled from diel dissolved oxygen curves using a Bayesian approach. Metabolic estimates were more uncertain below the epilimnion, but uncertainty was not consistently related to lake morphology or mixing regime. Metalimnetic rates exhibited high day-to-day variability in all trophic states, with the metalimnetic contribution to daily whole-lake GPP and ER ranging from 0% to 87% and < 1% to 92%, respectively. Nonetheless, the metalimnion of low-nutrient lakes contributed strongly to whole-lake metabolism on average, driven by a collinear combination of highlight, low surface-water phosphorous concentration and high metalimnetic volume. Consequently, a single-sensor approach does not necessarily reflect whole-ecosystem carbon dynamics in stratified lakes.
AB - Many lakes exhibit seasonal stratification, during which they develop strong thermal and chemical gradients. An expansion of depth-integrated monitoring programs has provided insight into the importance of organic carbon processing that occurs below the upper mixed layer. However, the chemical and physical drivers of metabolism and metabolic coupling remain unresolved, especially in the metalimnion. In this depth zone, sharp gradients in key resources such as light and temperature co-occur with dynamic physical conditions that influence metabolic processes directly and simultaneously hamper the accurate tracing of biological activity. We evaluated the drivers of metalimnetic metabolism and its associated uncertainty across 10 stratified lakes in Europe and North America. We hypothesized that the metalimnion would contribute highly to whole-lake functioning in clear oligotrophic lakes, and that metabolic rates would be highly variable in unstable polymictic lakes. Depth-integrated rates of gross primary production (GPP) and ecosystem respiration (ER) were modelled from diel dissolved oxygen curves using a Bayesian approach. Metabolic estimates were more uncertain below the epilimnion, but uncertainty was not consistently related to lake morphology or mixing regime. Metalimnetic rates exhibited high day-to-day variability in all trophic states, with the metalimnetic contribution to daily whole-lake GPP and ER ranging from 0% to 87% and < 1% to 92%, respectively. Nonetheless, the metalimnion of low-nutrient lakes contributed strongly to whole-lake metabolism on average, driven by a collinear combination of highlight, low surface-water phosphorous concentration and high metalimnetic volume. Consequently, a single-sensor approach does not necessarily reflect whole-ecosystem carbon dynamics in stratified lakes.
UR - http://www.scopus.com/inward/record.url?scp=85014739126&partnerID=8YFLogxK
U2 - 10.1002/lno.10504
DO - 10.1002/lno.10504
M3 - Article
SN - 0024-3590
VL - 62
SP - 1288
EP - 1306
JO - Limnology and Oceanography
JF - Limnology and Oceanography
IS - 3
ER -