Yesterday’s meeting notes

In the third installment of our “what does all of this actually mean” meetings, Micah, Alex, Emma, Brent, Laura, Steven and I discussed the progress we’ve made integrating all of our data into one cohesive story.

Notes:

• Dissolved oxygen measurements
  • FB most eelgrass dominated, higher pH, could have daily super saturation (DO > 12)
    • Need to do literature survey to verify measurements are “real”
  • Padilla Bay: DO ~ 19.3 max for sensors that never come out of the water
• Should clip DO, pH and salinity data
  • Conservative one hour/one foot clipping
  • Use Union for SK tidal data
  • Just use bare for all sites
  • Correcting values to the right mean salinity from sensors can be difficult, lead to discrepancies
  • End drops in salinity and pH could be burials
• Can examine brief window of environmental data one or two days before sampling
• Number of low tides could be interesting
  • ex. Lots of drops in salinity at WB –> could number of low tides affect protein expression?
• Eelgrass extent as an explanatory variable
  • Global eelgrass effect could override any bare sites?
• Biomarker data
  • Ignore fatty acid data for now since there’s a low sample size
  • Final height is a proxy for growth
  • FB grew the most, CI grew the least
  • Tissue mass highest in FB, then PG. WB, SK, and CI were similar

Next steps:

• Figure out biomarker comparison table code
• Scrub data
• Make environmental variable table
  • Average
  • Median
  • Maximum
  • Minimum
  • Standard deviation/variance
  • Number of observations above/below SD/2 SDs
  • Number of exposures/low tides
  • Days exposed
  • Total time exposed