Statistical relationships between biological parameters and environmental forcings in Lake Erie, 1970s–2010s

Zhang, Hongyan; Wang, Jia, 1957-; Yang, Ting-yi; Lofgren, Brent M.; Chu, Philip

doi:10.25923/6jgm-1x64

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Statistical relationships between biological parameters and environmental forcings in Lake Erie, 1970s–2010s

2018
By Zhang, Hongyan ; Wang, Jia, 1957- ; Yang, Ting-yi ; ...
Series: NOAA technical memorandum GLERL ; 173

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Personal Author:

Zhang, Hongyan ; Wang, Jia, 1957- ; Yang, Ting-yi ; Lofgren, Brent M. ; Chu, Philip

Zhang, Hongyan ; Wang, Jia, 1957- ; Yang, Ting-yi ; Lofgren, Brent M. ; Chu, Philip Less -
Corporate Authors:

Oceanic and Atmospheric Research Laboratories (U.S.) ; Great Lakes Environmental Research Laboratory

Oceanic and Atmospheric Research Laboratories (U.S.) ; Great Lakes Environmental Research Laboratory Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) Less -
Description:

This report investigates interannual variability of biological parameters (diatom, hypoxia area, hypolimnetic oxygen depletion, dissolved oxygen, and phosphate load) and related environmental forcings (annual maximum ice cover, ice duration, wind speed, lake temperature, winter severity index,and four teleconnection patterns: El Niño-Southern Oscillation (ENSO), North Atlantic oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO). The statistical relationships are examined between two variables. Scatter and linear/non-linear regression methods are used to determinate whether they have linear or quadratic (non-linear) relationships. The purpose of this report is to 1) provide users with Lake Erie biological parameters and environmental forcings in as simple as possible format of graphs and tables; 2) explore the possible relationship between a single pair of parameters that are easily digested and applied to resources management, projection, and planning; and 3) lay a foundation towards the construction of multi-variable regression models to hindcast the retrospective measurements and to project seasonal variations of hypoxia and other biological parameters using physical/climate forcings as predictors.
Keywords:

[+]

Diatoms Dissolved Oxygen El Niño Current Environmental Forensics Hypolipemia Hypoxia Ice Sheets Linear Accelerators Management Natural Resources North Atlantic Oscillation Phosphate Minerals Quadratic Fields Regression Analysis Reporting Scattering Amplitude Southern Oscillation Speed Statistics Water Water Temperature Winds
Series:

NOAA technical memorandum GLERL ; 173
DOI:

https://doi.org/10.25923/6jgm-1x64
Document Type:

Technical Memorandum
Place as Subject:

Erie, Lake
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

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urn:sha-512:64e06b1dfe81269b6156708f974f9f5f147eec5dea3d5058c9bc22c06c238134715d47f3e374218b21565e0efd1410326d8af3628c6ddb7bae30eed956ca8a7e
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https://repository.library.noaa.gov/view/noaa/22027/noaa_22027_DS1.pdf
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Statistical relationships between biological parameters and environmental forcings in Lake Erie, 1970s–2010s

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