Response of walleye and yellow perch to water-level fluctuations in glacial lakes

2013 ◽  
Vol 21 (2) ◽  
pp. 89-95 ◽  
Author(s):  
D. J. Dembkowski ◽  
S. R. Chipps ◽  
B. G. Blackwell
Keyword(s):  
Water Level ◽  
Yellow Perch ◽  
Water Level Fluctuations ◽  
Glacial Lakes

Do Water Level Fluctuations Influence Production of Walleye and Yellow Perch Young-of-the-Year in Large Northern Lakes?

2016 ◽  
Vol 36 (6) ◽  
pp. 1425-1436 ◽  
Author(s):  
James H. Larson ◽  
David F. Staples ◽  
Ryan P. Maki ◽  
Jon M. Vallazza ◽  
Brent C. Knights ◽  
...  
Keyword(s):  
Water Level ◽  
Yellow Perch ◽  
Water Level Fluctuations ◽  
Young Of The Year

scholarly journals Mercury and water level fluctuations in lakes of northern Minnesota

2017 ◽  
Author(s):  
James H. Larson ◽  
Ryan P. Maki ◽  
Victoria G. Christensen ◽  
Mark B. Sandheinrich ◽  
Jaime F. LeDuc ◽  
...  
Keyword(s):  
Water Level ◽  
Yellow Perch ◽  
Annual Variation ◽  
Mercury Content ◽  
Water Levels ◽  
Mercury Contamination ◽  
Water Level Fluctuations ◽  
Commercial Fishing ◽  
Lake Ecosystems ◽  
Management Regime

AbstractLarge lake ecosystems support a variety of ecosystem services in surrounding communities, including recreational and commercial fishing. However, many northern temperate fisheries are contaminated by mercury. Annual variation in mercury accumulation in fish has previously been linked to water level (WL) fluctuations, opening the possibility of regulating water levels in a manner that minimizes or reduces mercury contamination in fisheries. Here, we compiled a long-term dataset (1997–2015) of mercury content in young-of-year Yellow Perch (Perca flavescens) from six lakes on the border between the U.S. and Canada and examined whether mercury content appeared to be related to several metrics of WL fluctuation (e.g., spring WL rise, annual maximum WL, and year-to-year change in maximum WL). Using simple correlation analysis, several WL metrics appear to be strongly correlated to Yellow Perch mercury content, although the strength of these correlations varies by lake. We also used many WL metrics, water quality measurements, temperature and annual deposition data to build predictive models using partial least squared regression (PLSR) analysis for each lake. These PLSR models showed some variation among lakes, but also supported strong associations between WL fluctuations and annual variation in Yellow Perch mercury content. The study lakes underwent a modest change in WL management in 2000, when winter WL minimums were increased by about 1 m in five of the six study lakes. Using the PLSR models, we estimated how this change in WL management would have affected Yellow Perch mercury content. For four of the study lakes, the change in WL management that occurred in 2000 likely reduced Yellow Perch mercury content, relative to the previous WL management regime.

AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

Water level fluctuations of the lake of Paladru (Isère, France) in the Xth and XIth centuries AD

1985 ◽  
Vol 11 (1) ◽  
pp. 179-183
Author(s):  
Jean-Luc Borel ◽  
Jacques-Léopold Brochier ◽  
Karen Lundström-Baudais
Keyword(s):  
Water Level ◽  
Water Level Fluctuations
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