Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29466
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Wind and trophic status explain within and among-lake variability of algal biomass: Variability of phytoplankton biomass
Author(s): Rusak, James A
Tanentzap, Andrew J
Klug, Jennifer L
Rose, Kevin C
Hendricks, Susan P
Jennings, Eleanor
Laas, Alo
Pierson, Donald
Ryder, Elizabeth
Smyth, R. L.
White, David S
Winslow, Luke A
Adrian, Rita
Arvola, Lauri
Jones, Ian D
Contact Email: ian.jones@stir.ac.uk
Issue Date: Dec-2018
Date Deposited: 9-May-2019
Citation: Rusak JA, Tanentzap AJ, Klug JL, Rose KC, Hendricks SP, Jennings E, Laas A, Pierson D, Ryder E, Smyth RL, White DS, Winslow LA, Adrian R, Arvola L & Jones ID (2018) Wind and trophic status explain within and among-lake variability of algal biomass: Variability of phytoplankton biomass. Limnology and Oceanography Letters, 3 (6), pp. 409-418. https://doi.org/10.1002/lol2.10093
Abstract: 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.
DOI Link: 10.1002/lol2.10093
Rights: © 2018 The Authors. Limnology and Oceanography published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Notes: Additional co-authors: E de Eyto, H Feuchtmayr, M Honti, V Istvánovics, C G McBride, S R Schmidt, D Seekell, P A Staehr, G Zhu
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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