Phenology of Fish and Invertebrates in Mobile Bay, AL

Jeffrey D. Plumlee, Ph.D., Postdoctoral Fellow at the University of South Alabama

FAMP analysis

Here's a DRAFT Notebook containing R analysis of species samples.

• If you run the Notebook, and make changes you like, save the Notebook, then download locally.

How it fits in OyBcSt

Provides management insights

"The recruitment phenology question is a natural fit with modeled environmental variables because of how strong the relationship appears to be. If we can improve the predictability of recruitment phenology by adding in some additional environmental variables from the historic model runs and use those to predict future recruitment timing that would be highly impactful and very useful to managers.

Uses data from hydrodynamic and ecological modeling

"Because of the FAMP sampling structure we would need environmental variables on a daily-monthly scale for the trawling sites. I think an issue we'll run into is how few samples were collected for some species and some years so the environmental data from the model outputs would be very coarse and averaged bay wide across a relatively long timescale (seasons to years). However, if we can get a historically estimated surface and bottom salinity, DO, Chl a, water temperature over the same years as the FAMP data were collected (1980 - 2020) I can re-run our generalized additive models which I think will be much improved over what we have currently which use real meteorological observations."

This work is a result of research funded by the National Oceanic and Atmospheric Administration's RESTORE Science Program under award NA19NOS4510194.

For reference:

• How to Use Binder and R for Reproducible Research, by Erik Marsja
• The Turing Way