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Author Title Type [ Year(Asc)]
Borre L, Smyth RL, Howe EA.  2016.  Adapting shoreline and riparian zone management to build resilience and mitigate impacts of climate change. NALMS LakeLine. (Summer 2016):8-13.
Marce R, George P, Buscarinu P, Deidda M, Dunalska J, de Eyto E, G F, Grossart H-P, Istvanovics V, Lenhardt M et al..  2016.  Automatic high frequency monitoring for improved lake and reservoir management. Environmental Science and Technology. 50
Read EK, O'Rourke M, Hong GS, Hanson PC, Winslow LA, Crowley S, Brewer CA, Weathers KC.  2016.  Building the Team for Team Science. Ecosphere. 7(3)
Dunalska J, Wiśniewski G.  2016.  Can we stop the degradation of lakes? Innovative approaches in lake restoration. Ecological Engineering. 95:714-722.
Dugan HA, Woolway RI, Santoso AB, Corman JR, Jaimes A, Nodine ER, Patil VP, Zwart JA, Brentrup J.A., Hetherington AL et al..  2016.  Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes. Inland Waters.
Lima MSonaira, Marques Dda Motta, They NHaig, McMahon KD, Rodrigues LRibeiro, Cardoso Lde Souza, Crossetti LOliveira.  2016.  Contrasting factors drive within-lake bacterial community composition and functional traits in a large shallow subtropical lake. Hydrobiologia.
Woolway RI, Jones ID, Maberly SC.  2016.  Diel surface temperature range scales with lake size. PLoS One. 11(3)
Kangur K, Ginter K, Kangur P, Kangur A, Nõges P, Laas A.  2016.  An estimation of diel metabolic rates of eight limnological archetypes from Estonia using high-frequency measurements. Inland Waters. 6(3):352-363.
Read J.S., Gries C., Read E.K., Klug J., Hanson P., Hipsey M.R., Pierson D..  2016.  Generating community-built tools for data sharing and analysis in environmental networks. Inland Waters. 6(4):637-644.
Bendall ML, Stevens SLR, Chan L-K, Malfatti S, Schwientek P, Tremblay J, Schackwitz W, Martin J, Pati A, Bushnell B et al..  2016.  Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations. The ISME Journal.
Staehr P.A., Brighenti L.S., Honti M., Christensen J., Rose K.C..  2016.  Global patterns of light saturation and photoinhibition of lake primary production. Inland Waters. 6:593-607.
[Anonymous].  2016.  Global patterns of light saturation and photoinhibition of lake primary production. Inland Waters. 6:593-607.
Staehr PA, Brighenti LS, Honti M, Christensen JPA, Rose KC.  2016.  Global patterns of light saturation and photoinhibition of lake primary production. Inland Waters. 4(4):607.
Kangur K, Ginter K, Kangur P, Kangur A, Nõges P, Laas A.  2016.  hanges in water temperature and chemistry preceding a massive kill of bottom-dwelling fish: an analysis of high-frequency buoy data of shallow Lake Võrtsjärv (Estonia). Inland Waters. 6(4)
Smyth R.L., Caruso A., Borre M.A., Zhu G., Hetherington A.L., Jennings E., Klug J.L., Piccolo M.L., Rusak J.A., Weather K.C. et al..  2016.  High-frequency lake data benefits society through broader engagement with citizens, stakeholders, and decision makers: a synthesis of GLEON data use survey and member experiences. . Inland Waters. 6:555-564.
Idrizaj A, Laas A, Anijalg U, Noges P.  2016.  Horizontal differences in ecosystem metabolism of a large shallow lake. Journal of Hydrology. 535
Wolinski L, Modenutti B, Souza MSol, Balseiro E.  2016.  Interactive effects of temperature, ultraviolet radiation and food quality on zooplankton alkaline phosphatase activity. Environmental Pollution. 213:7.
Borre L.  2016.  Lake Suwa’s Shinto Legend and the Oldest Lake Ice Record on Earth: What It Tells Us About Climate Change and Variability. National Geographic Water Currents.
Gonçalves M.A., Garcia F.C., Barroso G.F..  2016.  Morphometry and mixing regime of a tropical lake: Lake Nova (Southeastern Brazil). Anais da Academia Brasileira de Ciências. 88(3):15.
Laas A, de Eyto E, Pierson D, Jennnings E.  2016.  NETLAKE Guidelines for automatic monitoring station development. NETLAKE COST.
Hanson P.C., Weathers K.C., Kratz T.K..  2016.  Networked lake science: how the Global Lake Ecological Observatory Network (GLEON) works to understand, predict, and communicate lake ecosystem response to global change. Inland Waters. 6(4):543-554.
Cremona F, Laas A, Arvola L, Pierson D, Nõges P, Noges T.  2016.  Numerical exploration of the planktonic to benthic primary production ratios in lakes of the Baltic Sea catchment. Ecosystems. :1-15.
Dugan H., Hanson P.C., Weathers K.C..  2016.  Outcomes from the GLEON fellowship program. Training graduate students in data driven network science. AGU Fall Meeting Abstracts.
Brentrup JA, Williamson C.E., Colom-Montero W., Eckert W., de Eyto E., Grossart H.-P., Hout Y., Isles P.D.F., Knoll L.B., Leach T.H. et al..  2016.  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. Inland Waters. 6:565-580.


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