TY - JOUR A1 - Schmidt, Silke Regina A1 - Gerten, Dieter A1 - Hintze, Thomas A1 - Lischeid, Gunnar A1 - Livingstone, David M. A1 - Adrian, Rita T1 - Temporal and spatial scales of water temperature variability as an indicator for mixing in a polymictic lake JF - Inland waters : journal of the International Society of Limnology N2 - We applied coarse spectral analysis to more than 2 decades of daily near-surface water temperature (WT) measurements from Muggelsee, a shallow polymictic lake in Germany, to systematically characterize patterns in WT variability from daily to yearly temporal scales. Comparison of WT with local air temperature indicates that the WT variability patterns are likely attributable to both meteorological forcing and internal lake dynamics. We identified seasonal patterns of WT variability and showed that WT variability increases with increasing Schmidt stability, decreasing Lake number and decreasing ice cover duration, and is higher near the shore than in open water. We introduced the slope of WT spectra as an indicator for the degree of lake mixing to help explain the identified temporal and spatial scales of WT variability. The explanatory power of this indicator in other lakes with different mixing regimes remains to be established. KW - Lake number KW - polymictic lakes KW - Schmidt stability KW - seasonality KW - spectral analysis KW - variability Y1 - 2018 U6 - https://doi.org/10.1080/20442041.2018.1429067 SN - 2044-2041 SN - 2044-205X VL - 8 IS - 1 SP - 82 EP - 95 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - JOUR A1 - Schmidt, Silke Regina A1 - Lischeid, Gunnar A1 - Hintze, Thomas A1 - Adrian, Rita T1 - Disentangling limnological processes in the time-frequency domain JF - Limnology and oceanography N2 - State variables in lake ecosystems are subject to processes that act on different time scales. The relative importance of each of these processes changes over time, e.g., due to varying constraints of physical, biological, and biogeochemical processes. Correspondingly, continuous automatic measurements at high temporal resolution often reveal intriguing patterns that can rarely be directly ascribed to single processes. In light of the rather complex interplay of such processes, disentangling them requires more powerful methods than researchers have applied up to this point. For this reason, we tested the potential of wavelet coherence, based on the assumption that different processes result in correlations between different variables, on different time scales and during different time windows across the seasons. The approach was tested on a set of multivariate hourly data measured between the onset of an ice cover and a cyanobacterial summer bloom in the year 2009 in the Muggelsee, a polymictic eutrophic lake. We found that processes such as photosynthesis and respiration, the growth and decay of phytoplankton biomass, dynamics in the CO2-carbonate system, wind-induced resuspension of particles, and vertical mixing all occasionally served as dominant drivers of the variability in our data. We therefore conclude that high-resolution data and a method capable of analyzing time series in both the time and the frequency domain can help to enhance our understanding of the time scales and processes responsible for the high variability in driver variables and response variables, which in turn can lay the ground for mechanistic analyses. Y1 - 2018 U6 - https://doi.org/10.1002/lno.11049 SN - 0024-3590 SN - 1939-5590 VL - 64 IS - 2 SP - 423 EP - 440 PB - Wiley CY - Hoboken ER - 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 -