I'm trying to do a research project into how methane (mgCH4/m2/d) and CO2 flux (mgC02/m2/d) in a Canadian peatland is influenced by temperature, soil temperature, rates of photosynthesis and plant species.
I conducted the research over a period of a few months, taking data on a weekly basis twice a day. I've 'polished' my data sets and removed bad data points which could affect my data.
I've run kolmogorov-smirnov tests to check for normality and the methane and CO2 flux as well as the soil temperature are not normally distributed.
I was originally going to do regression analysis as I've had experience in this before, but as the data is not normally distributed I'm really not sure if I should or not. Can anybody suggest a statistical analysis method which would should the relationship between methane and CO2 flux and my variables?
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