TY  - JOUR
A1  - Rusak, James A.
A1  - Tanentzap, Andrew J.
A1  - Klug, Jennifer L.
A1  - Rose, Kevin C.
A1  - Hendricks, Susan P.
A1  - Jennings, Eleanor
A1  - Laas, Alo
A1  - Pierson, Donald C.
A1  - Ryder, Elizabeth
A1  - Smyth, Robyn L.
A1  - White, D. S.
A1  - Winslow, Luke A.
A1  - Adrian, Rita
A1  - Arvola, Lauri
A1  - de Eyto, Elvira
A1  - Feuchtmayr, Heidrun
A1  - Honti, Mark
A1  - Istvanovics, Vera
A1  - Jones, Ian D.
A1  - McBride, Chris G.
A1  - Schmidt, Silke Regina
A1  - Seekell, David
A1  - Staehr, Peter A.
A1  - Guangwei, Zhu
T1  - Wind and trophic status explain within and among-lake variability of algal biomass
JF  - Limnology and oceanography letters / ASLO, Association for the Sciences of Limnology and Oceanography
N2  - Phytoplankton biomass and production regulates key aspects of freshwater ecosystems yet its variability and subsequent predictability is poorly understood. We estimated within-lake variation in biomass using high-frequency chlorophyll fluorescence data from 18 globally distributed lakes. We tested how variation in fluorescence at monthly, daily, and hourly scales was related to high-frequency variability of wind, water temperature, and radiation within lakes as well as productivity and physical attributes among lakes. Within lakes, monthly variation dominated, but combined daily and hourly variation were equivalent to that expressed monthly. Among lakes, biomass variability increased with trophic status while, within-lake biomass variation increased with increasing variability in wind speed. Our results highlight the benefits of high-frequency chlorophyll monitoring and suggest that predicted changes associated with climate, as well as ongoing cultural eutrophication, are likely to substantially increase the temporal variability of algal biomass and thus the predictability of the services it provides.
Y1  - 2018
U6  - https://doi.org/10.1002/lol2.10093
SN  - 2378-2242
VL  - 3
IS  - 6
SP  - 409
EP  - 418
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Marce, Rafael
A1  - George, Glen
A1  - Buscarinu, Paola
A1  - Deidda, Melania
A1  - Dunalska, Julita
A1  - de Eyto, Elvira
A1  - Flaim, Giovanna
A1  - Grossart, Hans-Peter
A1  - Istvanovics, Vera
A1  - Lenhardt, Mirjana
A1  - Moreno-Ostos, Enrique
A1  - Obrador, Biel
A1  - Ostrovsky, Ilia
A1  - Pierson, Donald C.
A1  - Potuzak, Jan
A1  - Poikane, Sandra
A1  - Rinke, Karsten
A1  - Rodriguez-Mozaz, Sara
A1  - Staehr, Peter A.
A1  - Sumberova, Katerina
A1  - Waajen, Guido
A1  - Weyhenmeyer, Gesa A.
A1  - Weathers, Kathleen C.
A1  - Zion, Mark
A1  - Ibelings, Bas W.
A1  - Jennings, Eleanor
T1  - Automatic High Frequency Monitoring for Improved Lake and Reservoir Management
JF  - Frontiers in plant science
N2  - Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied, by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.
Y1  - 2016
U6  - https://doi.org/10.1021/acs.est.6b01604
SN  - 0013-936X
SN  - 1520-5851
VL  - 50
SP  - 10780
EP  - 10794
PB  - American Chemical Society
CY  - Washington
ER  - 
TY  - JOUR
A1  - Giling, Darren P.
A1  - Staehr, Peter A.
A1  - Grossart, Hans-Peter
A1  - Andersen, Mikkel Rene
A1  - Boehrer, Bertram
A1  - Escot, Carmelo
A1  - Evrendilek, Fatih
A1  - Gomez-Gener, Lluis
A1  - Honti, Mark
A1  - Jones, Ian D.
A1  - Karakaya, Nusret
A1  - Laas, Alo
A1  - Moreno-Ostos, Enrique
A1  - Rinke, Karsten
A1  - Scharfenberger, Ulrike
A1  - Schmidt, Silke R.
A1  - Weber, Michael
A1  - Woolway, R. Iestyn
A1  - Zwart, Jacob A.
A1  - Obrador, Biel
T1  - Delving deeper: Metabolic processes in the metalimnion of stratified lakes
JF  - Limnology and oceanography
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.
Y1  - 2017
U6  - https://doi.org/10.1002/lno.10504
SN  - 0024-3590
SN  - 1939-5590
VL  - 62
SP  - 1288
EP  - 1306
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Brentrup, Jennifer A.
A1  - Williamson, Craig E.
A1  - Colom-Montero, William
A1  - Eckert, Werner
A1  - de Eyto, Elvira
A1  - Großart, Hans-Peter
A1  - Huot, Yannick
A1  - Isles, Peter D. F.
A1  - Knoll, Lesley B.
A1  - Leach, Taylor H.
A1  - McBride, Chris G.
A1  - Pierson, Don
A1  - Pomati, Francesco
A1  - Read, Jordan S.
A1  - Rose, Kevin C.
A1  - Samal, Nihar R.
A1  - Staehr, Peter A.
A1  - Winslow, Luke A.
T1  - The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: an extension of the Plankton Ecology Group (PEG) model
JF  - Inland waters : journal of the International Society of Limnology
N2  - The use of high-frequency sensors on profiling buoys to investigate physical, chemical, and biological processes in lakes is 
increasing rapidly. Profiling buoys with automated winches and sensors that collect high-frequency chlorophyll fluorescence 
(ChlF) profiles in 11 lakes in the Global Lake Ecological Observatory Network (GLEON) allowed the study of the vertical 
and temporal distribution of ChlF, including the formation of subsurface chlorophyll maxima (SSCM). The effectiveness of 3 
methods for sampling phytoplankton distributions in lakes, including (1) manual profiles, (2) single-depth buoys, and (3) 
profiling buoys were assessed. High-frequency ChlF surface data and profiles were compared to predictions from the 
Plankton Ecology Group (PEG) model. The depth-integrated ChlF dynamics measured by the profiling buoy data revealed a 
greater complexity that neither conventional sampling nor the generalized PEG model captured. Conventional sampling 
techniques would have missed SSCM in 7 of 11 study lakes. Although surface-only ChlF data underestimated average water 
column ChlF, at times by nearly 2-fold in 4 of the lakes, overall there was a remarkable similarity between surface and mean 
water column data. Contrary to the PEG model’s proposed negligible role for physical control of phytoplankton during the 
growing season, thermal structure and light availability were closely associated with ChlF seasonal depth distribution. Thus, 
an extension of the PEG model is proposed, with a new conceptual framework that explicitly includes physical metrics to 
better predict SSCM formation in lakes and highlight when profiling buoys are especially informative.
KW  - chlorophyll fluorescence
KW  - Global Lake Ecological Observatory Network (GLEON)
KW  - high-frequency sensors
KW  - PEG model
KW  - phytoplankton
KW  - profiling buoys
KW  - subsurface chlorophyll maximum
Y1  - 2016
U6  - https://doi.org/10.5268/IW-6.4.890
SN  - 2044-2041
SN  - 2044-205X
VL  - 6
SP  - 565
EP  - 580
PB  - Freshwater Biological Association
CY  - Ambleside
ER  -