bt.tang.2023.RdYellowfin seabream Acanthopagrus latus is an economically important species in this area; however, the distribution of its spawning grounds and habitat use patterns remain unknown. The authors unlocked A. latus migration patterns and habitat use in Wanshan Islands, Pearl River Estuary, determined using otolith microchemical analysis.
bt.tang.2023The data frame 84,471 × 16 contains the following columns:
| fish_id | integer | fish identifier |
| location | character | location of capture |
| distance | numeric | distance from the core to the edge of otolith (um) |
| sr_ca | numeric | otolith Sr:Ca (x1000) |
| li_ca | numeric | otolith Li:Ca |
| na_ca | numeric | otolith Na:Ca |
| mg_ca | numeric | otolith Mg:Ca |
| si_ca | numeric | otolith Si:Ca |
| mn_ca | numeric | otolith Mn:Ca |
| fe_ca | numeric | otolith Fe:Ca |
| co_ca | numeric | otolith Co:Ca |
| ni_ca | numeric | otolith Ni:Ca |
| cu_ca | numeric | otolith Cu:Ca |
| zn_ca | numeric | otolith Zn:Ca |
| sb_ca | numeric | otolith Sb:Ca |
| ba_ca | numeric | otolith Ba:Ca |
The dataset contains 92 otolith samples of Acanthopagrus latus were collected from three geographic areas (MW: Qi'ao Island Mangrove Water Habitat; OW: Yamen Estuary Oyster Farm Water Habitat; RW: Dong'ao-Guishan Island Reef Water Habitat), and the concentrations of Sr and Ca along the shortest axis of the vertical otolith annual or lunar rings were measured to span the entire life cycle of A. latus, with the core and edge areas corresponding to environmental characteristics at birth and capture, respectively.
Instrument: LA-ICP-MS (laser ablation-inductively coupled plasma mass spectrometry)
Beam diameter: 10um
Reference materials: NIST-610,NIST-612 (National Institutes of Standards and Technology glass standard)
Tang, G., He, Z., Liu, Y., Xiao, Y., Bi, S., Sun, Y., ... & Li, C. (2023). Acanthopagrus latus migration patterns and habitat use in Wanshan Islands, Pearl River Estuary, determined using otolith microchemical analysis. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2023.1104528
Traversing the paper's information via Semantic Scholar ID 2f8ea5c22581cb0c2132b620ac722e8a29e6c260 using S2miner package
otolith, trace element, Sr/Ca, Li/Ca, Na/Ca,Mg/Ca, Si/Ca, Mn/Ca, Fe/Ca, Co/Ca, Ni/Ca, Cu/Ca,Zn/Ca, Sb/Ca, Ba/Ca
### copy data into 'dat'
dat <- bt.tang.2023
tibble::tibble(dat)
#> # A tibble: 84,471 × 16
#> fish_id location distance sr_ca li_ca na_ca mg_ca si_ca mn_ca fe_ca co_ca
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Q1 MW 0 3.37 -0.000000896 0.00940 0.000202 0.00277 1.31e-4 -1.75e-4 1.41e-5
#> 2 Q1 MW 0.806 3.19 -0.0000202 0.00919 0.000196 -0.0108 9.85e-5 8.16e-4 -1.53e-5
#> 3 Q1 MW 1.61 3.60 0.00000949 0.0101 0.000210 0.0114 2.44e-4 2.74e-4 -3.33e-6
#> 4 Q1 MW 2.42 3.37 -0.0000216 0.00957 0.000242 -0.0000842 1.05e-4 1.24e-4 1.04e-6
#> 5 Q1 MW 3.22 3.34 -0.0000108 0.00890 0.000201 -0.0116 1.29e-4 4.06e-4 -1.16e-5
#> 6 Q1 MW 4.03 3.57 0.0000170 0.0108 0.000168 -0.00900 1.63e-4 -3.03e-5 -3.86e-6
#> 7 Q1 MW 4.84 3.32 -0.0000177 0.0101 0.000304 0.00715 1.52e-4 1.34e-4 -1.30e-5
#> 8 Q1 MW 5.64 3.61 -0.000000982 0.00978 0.000193 -0.00845 1.57e-4 1.35e-4 1.14e-6
#> 9 Q1 MW 6.45 3.96 -0.00000111 0.0120 0.000242 0.0229 1.37e-4 7.07e-4 -4.10e-6
#> 10 Q1 MW 7.25 3.42 0.00000437 0.00953 0.000174 0.0136 1.38e-4 -2.66e-5 1.07e-6
#> # ℹ 84,461 more rows
#> # ℹ 5 more variables: ni_ca <dbl>, cu_ca <dbl>, zn_ca <dbl>, sb_ca <dbl>, ba_ca <dbl>
if (FALSE) {
### load package
library(dplyr)
library(ggplot2)
### otolith sr/ca
ggplot(data = dat, aes(distance, sr_ca)) +
geom_line(aes(colour = location, group = fish_id), show.legend = F, na.rm = T) +
facet_grid(location ~ ., scales = "free_y") +
xlab("Distance from the core to the edge of otolith (um)") +
ylab("Otolith Sr:Ca (x1000)") +
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")
)+
scale_y_continuous(limits = c(0,10))
}