![]() I looked over the data I have so far and I decided to standardize the data first so it proportional abundance per seine, then it seems that either 4th root or log transformation shows rare taxa the same so I went with Log transformed. ![]() I am using PRIMER_e as the stats program. Would I consider stations to be ordered? as they are in an order from upper to lower. I am wondering If I would consider the stations fixed, as I revisited the same spots? I think Month would be considered ordered, as July comes before august. If I look at each estuary individually I will have two factors: Station (Levels: 3 (upper, middle, lower) Factor effect: I think is fixed) and Month (Levels: 2 in 2020 (July, August), 3 in 2021 (June, July, August) Factor effect: fixed). The ultimate goal would be to identify what species appear to drive this change. The response variable is the proportional abundances of species in the estuary. I am also interested in determining if the communities between estuaries differ, but this is not the main question. My main question is if the upper station's community differs from the lower two stations' communities. Environmental data will be collected as well: temperature, salinity, dissolved oxygen, vegetation cover. Five seine net samples will be done at each station. The the estuaries' station are going to be sampled twice: in 2020 (July and August, already completed) and again in 2021 (June, July, August) to account for temporal variation. The two lower sites generally are dominated by seagrass. The upper impacted regions tend to be dominated by macroalgae are are subjected to frequent anoxic events. There are three different estuaries each divided in to three stations: an upper (impacted region), middle (less impacted region), and lower (less impacted region). I am studying the impacts of nitrogen pollution on the near-shore nekton communities. I have never done this before and was wanting a second opinion. I am trying to decide on the best approach for statistical analyses of my data.
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