Comparison of Relative Abundance by two devices

Here is a comparison of the relative abundance of different taxa sampled by the two devices. MOCNESS data shown are for all plankton larger than 0.934mm.

Code
rm(list = ls())
library(cowplot)
library(ggplot2)
library(DT)
library(EcotaxaTools)
plot_list <- readRDS('../Output/main_fig_02_rel-contribution.rds')
dat_list <- readRDS('../Output/data_02_rel-contrib.rds')
Code
plot_grid(plot_list$moc_comp + theme(axis.text.x = element_text(angle = 45,
                                                                hjust = 1),
                                     legend.key.size = unit(.25,'cm'),
                                     legend.text = element_text(size = 6),
                                     legend.position = 'bottom',
                                     plot.background = element_blank()), 
          plot_list$uvp+ theme(axis.text.x = element_text(angle = 45,
                                                          hjust = 1),
                               legend.key.size = unit(.25,'cm'),
                               legend.text = element_text(size = 6),
                               legend.position = 'bottom',
                               plot.background = element_blank(),
                               axis.title.y = element_blank()))

The proportion of copepods is similar albeit slightly larger in the MOCNESS compared to the UVP. However, the proportion of other taxa are very different between the two sampling methods. The MOCNESS has a much larger portion of Chaetognaths and Shrimp-like crustaceans. The UVP has a large portion of Trichodesmium and Rhizaria, which are nearly unsampled by the MOCNESS. This is unsurprising as the MOCNESS is known to destroy fragile organisms (like Trichodesmium and Rhizaria). There is only an overlap of comparable organisms for Copepods, Chaetognaths, Annelids, Shrimp-like Crustaceans, and Ostracods/Cladoerans.

Pooling across all Tows/Casts we can get a general Sense of how the UVP and MOCNESS sample different taxonomic groups.

Code
datatable(dat_list$moc_filtered_all, rownames = F, colnames = c('Taxa','Percent Contribution'),
          caption = 'Relative Contribution of taxa collected by MOCNESS which were above 0.934')
Code
datatable(dat_list$uvp_all, rownames = F, colnames = c('Taxa','Percent Contribution'),
          caption = 'Relative Contribution of taxa imaged by the UVP')

Below are data which correspond to the figures shown above:

Code
datatable(dat_list$moc_filtered, rownames = F, colnames = c('Taxa','Percent Contribution','Tow'),
          caption = 'Relative Contribution of taxa collected by MOCNESS which were above 0.934 Separated by cast')
Code
datatable(dat_list$uvp, rownames = F, colnames = c('Taxa','Percent Contribution','Tow'),
          caption = 'Relative Contribution of taxa imaged by the UVP. Separated by month and time of day')