Iranchild1: Створена сторінка: The relationship of GP, R and NP to chl a was analyzed two ways. The first was via linear regressions [https://en.wikipedia.org/wiki/Quinapyramine Quinapyramine...

2017-02-21T02:04:00Z

Створена сторінка: The relationship of GP, R and NP to chl a was analyzed two ways. The first was via linear regressions [https://en.wikipedia.org/wiki/Quinapyramine Quinapyramine...

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The relationship of GP, R and NP to chl a was analyzed two ways. The first was via linear regressions [https://en.wikipedia.org/wiki/Quinapyramine Quinapyramine] of increasing metabolism and chl a in ML, LM and the lakes combined. The averages of chl a, GP, R?and NP were also compared among ML and LM via t-test. This allowed not only to study how the rates of GP, R and NP change with increasing chl a, but also how the two lakes differed with respect to chl a. Water temperature data were taken at the site when the water was sampled. Surface water temperatures were plotted along with determined GP, R and NP values to see how metabolism varied with temperature. All temperature and metabolism data were combined and each metabolism parameter was plotted against their corresponding temperatures. Exponential regression values were determined for each parameter, based on previous finding of an exponential relationship between phytoplankton growth rate and temperature (Eppley, 1972). The precipitation data are monthly totals taken from the weather underground archive for Muskegon, MI (www.weatherunderground.com). Precipitation analysis was performed by plotting GP, R and NP against the previous 3 months total of precipitation, and GP, R and NP per unit precipitation were all plotted against precipitation. Total daily discharge for periods preceding the sampling date for the Muskegon River from the USGS gage at the Croton Dam (75 km upstream) in Croton, MI, [http://www.selleckchem.com/products/MS-275.html MS-275 concentration] was obtained from the USGS website (http://waterdata.usgs.gov/nwis). A more rigorous analysis was performed to see if total preceding discharge had any relation to variation in GP, R or NP, or if there was a particular time period before sampling that could also explain variation (discharge 15, 30, 45, 60, 75 and 90 days before sampling lag period). GP, R and NP were plotted against these two types of discharge totals. PAR data were obtained from the NOAA GLERL Real-Time Meteorological [http://www.selleckchem.com/products/GDC-0449.html GDC-0449 supplier] Observatory Network met station at the LM field station in Muskegon, MI (http://www.glerl.noaa.gov/metdata/mkg/). The PAR values used to represent the average of the 5-min interval time-series data for the day of incubation. Again, GP, R and NP were plotted against daily average PAR. GP, R and NP per unit PAR were plotted against PAR as well. RESULTS The average rates of pelagic GP, R, NP and the ratio of GP:R along the land-to-lake gradient decreased with increasing distance from Muskegon River (Table?I, Fig.?Fig.2).2). The rates of GP, R and NP were all found to be significantly different from one another along this land-to-lake gradient based on a comparison of the slopes of the regressions (P-value

A Reliable Double Sprain On MS-275 - Історія редагувань

Iranchild1: Створена сторінка: The relationship of GP, R and NP to chl a was analyzed two ways. The first was via linear regressions [https://en.wikipedia.org/wiki/Quinapyramine Quinapyramine...