Many predatory marine fishes undergo ontogenetic diet and habitat shifts as they grow. Most fishery datasets, such as catch records, length frequencies, and stomach contents, create a series of snapshots, with each captured fish representing a single timepoint during the lifespan. Chemical archives, such as eye lenses, preserve information regarding several life stages for each individual. With this work, the authors demonstrate that eye-lens isotope value profiles can enhance fisheries datasets and may provide a method of recreating diet and movement histories for species without long-term biological information.

bt.vecchio.2022

Format

The data frame 288 × 9 contains the following columns:

fish_idcharactershark identifier
speciesnumericscientific name
locationcharacterlocation code
longitudenumericlongitude of capture
latitudenumericlatitude of capture
lamina_x.diameternumericlens diameter prior to removal of lamina x (in mm)
lamina_x_positionnumericradial midpoint of the lamina (in mm)
d13cnumericeye lenses carbon isotope ratios (‰)
d15nnumericeye lenses nitrogen isotope ratios (‰)

Details

The dataset contains 36 red grouper Epinephelus morio of d13C and d15N bulk values in sequential eye-lens laminae from the Gulf of Mexico, summer 2013.

Instrument: CF-IRMS (continuous flow isotope ratio mass spectrometer)

Source

Vecchio, J. L., & Peebles, E. B. (2022). Lifetime-scale ontogenetic movement and diets of red grouper inferred using a combination of instantaneous and archival methods. Environmental Biology of Fishes, 1-20. https://doi.org/10.1007/s10641-022-01210-2

Data availability are available at https://doi.org/10.7266/N77D2S4S

Traversing the paper's information via Semantic Scholar ID 9409e26847c35f1d3ca794cd94dc24d6d1181eb0 using S2miner package

Author

Liuyong Ding, ly_ding@126.com

Concepts

eye lenses, stable isotope, d13C, d15N

Examples

### copy data into 'dat'
dat <- bt.vecchio.2022
tibble::tibble(dat)
#> # A tibble: 288 × 9
#>    fish_id species         location longitude latitude lamina_x.diameter lamina_x_position  d15n  d13c
#>    <chr>   <chr>           <chr>        <dbl>    <dbl>             <dbl>             <dbl> <dbl> <dbl>
#>  1 Fish_13 Epinephelus mo… 12-100       -89.5     28.6              12.5             11.0   15.7 -16.1
#>  2 Fish_02 Epinephelus mo… SL1-1150     -88.6     29.0              12.4             11.4   15.5 -16.0
#>  3 Fish_05 Epinephelus mo… SL1-1150     -88.6     29.0              11.2              9.94  15.8 -16.6
#>  4 Fish_08 Epinephelus mo… SL1-1150     -88.6     29.0              11.2              9.94  15.1 -16.5
#>  5 Fish_09 Epinephelus mo… SL1-1150     -88.6     29.0              12.1             10.7   15.1 -16.6
#>  6 Fish_12 Epinephelus mo… SL1-1150     -88.6     29.0              13.2             11.4   15.2 -16.4
#>  7 Fish_15 Epinephelus mo… SL5-100      -85.4     28.6              11.7              9.94  13.1 -17.6
#>  8 Fish_15 Epinephelus mo… SL5-200      -86.1     28.5              12.5             10.9   14.3 -17.1
#>  9 Fish_19 Epinephelus mo… SL5-200      -86.1     28.5              11.4              9.86  13.7 -17.5
#> 10 Fish_20 Epinephelus mo… SL5-200      -86.1     28.5              13.5             11.7   13.9 -17.2
#> # ℹ 278 more rows

if (FALSE) {
### load package
library(dplyr)
library(ggplot2)

### eye lenses d13C
ggplot(data = dat,aes(lamina_x.diameter, d13c)) +
  geom_point(aes(group = fish_id),shape = 1, size = 2)+
  geom_line(aes(group = fish_id),
            show.legend = F, na.rm = T) +
  facet_wrap(fish_id ~ ., scales = "free_y") +
  xlab("Eye lens diameter (mm)") +
  ylab(expression(delta * ""^13 * "C" * " (‰)")) +
  theme_bw() +
  theme(
    panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
    panel.background = element_blank(), axis.line = element_line(colour = "black"),
    text = element_text(size = 10), legend.title = element_blank(),
    plot.title = element_text(face = "bold")
  )
### eye lenses d15N
ggplot(data = dat,aes(lamina_x.diameter, d15n)) +
  geom_point(aes(group = fish_id),shape = 1, size = 2)+
  geom_line(aes(group = fish_id),
            show.legend = F, na.rm = T) +
  facet_wrap(fish_id ~ ., scales = "free_y") +
  xlab("Eye lens diameter (mm)") +
  ylab(expression(delta * ""^15 * "N" * " (‰)")) +
  theme_bw() +
  theme(
    panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
    panel.background = element_blank(), axis.line = element_line(colour = "black"),
    text = element_text(size = 10), legend.title = element_blank(),
    plot.title = element_text(face = "bold")
  )
}