Dataset: Turbulence settlement: fig.8 - Royal Soc. Open Sci. (2015)
Deployment: Gaylord_Turb-Settlement

Fig 8 data from Hodin et al (2015) Royal Soc. Open Sci. - sand dollar settlement and turbulence
Principal Investigator: 
Brian Gaylord (University of California-Davis, UC Davis-BML)
Co-Principal Investigator: 
Dr Matthew Ferner (San Francisco State University, SFSU-RTC)
Dr Christopher Lowe (Stanford University - Hopkins, Stanford-HMS)
Dr Matthew Ferner (San Francisco State University, SFSU-RTC)
BCO-DMO Data Manager: 
Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Current State: 
Final no updates expected
Version Date: 

Figure 8. Precompetent larvae primed by turbulence exposure settle at a smaller size. (a) Mean test area in 12-day-old juveniles (n=49) deriving from turbulence exposure (approx. 2 W kg−1 for 3 min) while precompetent, compared to 15-day-old competent juveniles (n =29) never exposed to turbulence. Shown are standard Tukey box plots with the dots as outliers. Representative 12-day-old turbulence-exposed juvenile (b) and 15-day-old control juvenile (c) from this experiment, photographed at the same magnification.
White dotted lines indicate the major and minor axes of the ellipses used to estimate cross-sectional test area. Note also the relatively shorter spines in (b), another indication of the precocious state of these turbulence-induced juveniles. Scale bars, 100μm. The effect size here (mean size on day 15−mean size on day 12) is 19 437 μm2.

See Hodin et al (2015) for full details.

Related Reference:
Hodin J, Ferner MC, Ng G, Lowe CJ, Gaylord B. 2015. Rethinking competence in marine life cycles: ontogenetic changes in the settlement response of sand dollar larvae exposed to turbulence. Royal Society Open Science. 2: 150114. doi: 10.1098/rsos.150114.

Related Datasets:
Turbulence settlement: fig.3
Turbulence settlement: fig.4-6_Batches A & B
Turbulence settlement: fig.4-6_Batch C
Turbulence settlement: fig.6b
Turbulence settlement: fig.7
Turbulence settlement: fig.8 bootstrap

More information about this dataset deployment