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Sökning: onr:"swepub:oai:DiVA.org:uu-311626" > The potential of hi...

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

Brentrup, Jennifer A. (författare)
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
Williamson, Craig E. (författare)
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
Colom-Montero, William (författare)
Uppsala universitet,Limnologi
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Eckert, Werner (författare)
Yigal Allon Kinneret Limnol Lab, Israel Oceanog & Limnol Res, Migdal, Israel.
de Eyto, Elvira (författare)
Inst Marine, Newport, Mayo, Ireland.
Grossart, Hans-Peter (författare)
Leibniz Inst Freshwater Ecol & Inland Fisheries I, Dept Expt Limnol, Stechlin, Germany.;Univ Potsdam, Inst Biochem & Biol, Potsdam, Germany.
Huot, Yannick (författare)
Univ Sherbrooke, Dept Geomat Appl, Sherbrooke, PQ, Canada.
Isles, Peter D. F. (författare)
Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT USA.
Knoll, Lesley B. (författare)
Univ Minnesota, Itasca Biol Stn, Lake Itasca, MN USA.
Leach, Taylor H. (författare)
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
McBride, Chris G. (författare)
Univ Waikato, Environm Res Inst, Waikato, New Zealand.
Pierson, Don (författare)
Uppsala universitet,Limnologi
Pomati, Francesco (författare)
Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, Dubendorf, Switzerland.
Read, Jordan S. (författare)
US Geol Survey, Ctr Integrated Data Analyt, Middleton, WI USA.
Rose, Kevin C. (författare)
Rensselaer Polytech Inst, Dept Biol Sci, Troy, NY USA.
Samal, Nihar R. (författare)
Univ New Hampshire, Earth Syst Res Ctr, Durham, NH 03824 USA.
Staehr, Peter A. (författare)
Aarhus Univ, Dept Biosci, Roskilde, Denmark.
Winslow, Luke A. (författare)
US Geol Survey, Ctr Integrated Data Analyt, Middleton, WI USA.
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Miami Univ, Dept Biol, Oxford, OH 45056 USA Limnologi (creator_code:org_t)
2016
2016
Engelska.
Ingår i: INLAND WATERS. - 2044-2041 .- 2044-205X. ; 6:4, s. 565-580
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

Nyckelord

chlorophyll fluorescence
Global Lake Ecological Observatory Network (GLEON)
high-frequency sensors
PEG model
phytoplankton
profiling buoys
subsurface chlorophyll maximum

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