Environmental Data Meeting Part 3

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.


  • 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
Written on December 1, 2017