bt.pereira.2019.RdIn this study, the authors used Sr isotopic markers recorded in otoliths of wild and farmed commercialized pirarucu (Arapaima spp.) to evaluate their prediction potential to trace the fishes origin.
bt.pereira.2019The data frame 4,148 × 5 contains the following columns:
| specimen_code | character | specimen id |
| distance | integer | distance from fish otolith cores – edge transects (unit: micron) |
| oto_sr8786 | numeric | variation of 87Sr/86Sr measured by LAfs-MC-ICPMS |
| fish_origin | character | wild fish and farmed fish |
| region | character | region of captured |
The dataset contains wild and farmed commercialized pirarucu (Arapaima spp.) otolith strontium isotope profiles. Variation of 87Sr/86Sr values measured by LAfs-MC-ICPMS on wild fish otolith cores – edge transects.
Wild fish specimens that lived in environments with the largest fluctuation of river water Sr isotope ratios over time presented the largest Sr isotope variations in otoliths.
Instrument: fs-LA-MC-ICP-MS (femtosecond laser ablation multi-collector inductively coupled plasma mass spectrometer)
Scan speed: 5um/s
Pereira, L. A., Santos, R. V., Hauser, M., Duponchelle, F., Carvajal, F., Pecheyran, C., ... & Pouilly, M. (2019). Commercial traceability of Arapaima spp. fisheries in the Amazon basin: can biogeochemical tags be useful?. Biogeosciences, 16(8), 1781--1797. https://doi.org/10.5194/bg-16-1-2019
Data availability are available at https://doi.org/10.5281/zenodo.2646436
Traversing the paper's information via Semantic Scholar ID 313992f560c0c54460e235a4963016148dd61033 using S2miner package
otolith, stable isotope, Sr8786
### copy data into 'dat'
dat <- bt.pereira.2019
tibble::tibble(dat)
#> # A tibble: 4,148 × 5
#> specimen_code distance oto_sr8786 fish_origin region
#> <chr> <int> <dbl> <chr> <chr>
#> 1 I1 0 0.710 wild Central Amazon
#> 2 I1 5 0.710 wild Central Amazon
#> 3 I1 10 0.710 wild Central Amazon
#> 4 I1 15 0.710 wild Central Amazon
#> 5 I1 20 0.711 wild Central Amazon
#> 6 I1 25 0.710 wild Central Amazon
#> 7 I1 30 0.710 wild Central Amazon
#> 8 I1 35 0.710 wild Central Amazon
#> 9 I1 40 0.710 wild Central Amazon
#> 10 I1 45 0.710 wild Central Amazon
#> # ℹ 4,138 more rows
if (FALSE) {
### Sr profile figure
library(dplyr)
library(ggplot2)
ggplot(data = dat,aes(distance, oto_sr8786))+
geom_line(aes(col = fish_origin),show.legend = F,linewidth = 0.02, na.rm = T)+
facet_grid(region~ fish_origin)+
labs(
x = (expression(
paste("distance from fish otolith cores – edge transects (", mu, "m)",
sep = ""))),
y = (expression(paste(
{}^"87",
"Sr/",
{}^"86",
"Sr"
)))
)+
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")
)
}