Unclocking life history of spinyhead croaker using otolith microchemistry

Otolith microchemistry provides valuable information about the environmental history of individual fish, but few studies have considered the influence of population or stock on life history traits. This study used the Sr/Ca ratio as an index of habitat use of spinyhead croaker Collichthys lucidus from 2 different populations (northern and southern China populations), including lifetime otolith microchemistry profiles (n = 63 fish) and determinations of natal habitat selection (n = 352 fish).

bt.zhang.2022a

Format

The data frame 263,263 × 7 contains the following columns:

fish_id	integer	fish identifier
distance	numeric	distance from otolith core (um)
oto_sr_ca	numeric	otolith sr:ca (mmol/mol)
body_length	numeric	body length (mm)
sex	character	fish sex
location	character	location of capture
region	character	region of capture

Details

This dataset contains 63 otolith microchemistry profiles of spinyhead croaker Collichthys lucidus (Sciaenidae) from Chinese coastal waters.

Instrument: LA-ICP-MS (laser ablation-inductively coupled plasma mass spectrometry)

Beam diameter: 20um

Scan speed: 5um/s

Reference materials: NIST-610,NIST-612 (National Institutes of Standards and Technology glass standard)

Source

Zhang, S., Jiang, Y., Li, M., Zhu, J., Xu, S., & Chen, Z. (2022). Life history of spinyhead croaker Collichthys lucidus (Sciaenidae) differentiated among populations from Chinese coastal waters. Aquatic Biology, 31, 65-76. https://doi.org/10.3354/ab00754

Data are provided by Dr. zhang zhangshuai@scsfri.ac.cn.

Traversing the paper's information via Semantic Scholar ID 4c262747fa1ee5788cb4d3ae818f688b4c5ac513 using S2miner package

Author

Liuyong Ding, ly_ding@126.com

Concepts

otolith, trace element, Sr/Ca

Examples

### copy data into 'dat'
dat <- bt.zhang.2022a
tibble::tibble(dat)
#> # A tibble: 263,263 × 7
#>    fish_id distance oto_sr_ca body_length sex   location           region        
#>    <chr>      <dbl>     <dbl>       <dbl> <chr> <chr>              <chr>         
#>  1 DDC-01         2      5.03        109. F     Yalu River Estuary Northern China
#>  2 DDC-01         3      5.00        109. F     Yalu River Estuary Northern China
#>  3 DDC-01         3      4.84        109. F     Yalu River Estuary Northern China
#>  4 DDC-01         4      4.90        109. F     Yalu River Estuary Northern China
#>  5 DDC-01         4      4.99        109. F     Yalu River Estuary Northern China
#>  6 DDC-01         5      4.94        109. F     Yalu River Estuary Northern China
#>  7 DDC-01         6      4.86        109. F     Yalu River Estuary Northern China
#>  8 DDC-01         6      4.83        109. F     Yalu River Estuary Northern China
#>  9 DDC-01         7      5.07        109. F     Yalu River Estuary Northern China
#> 10 DDC-01         8      5.12        109. F     Yalu River Estuary Northern China
#> # ℹ 263,253 more rows

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


### otolith sr/ca
ggplot(data = dat, aes(distance, oto_sr_ca)) +
  geom_line(aes(colour = sex, group = fish_id), show.legend = F, na.rm = T) +
  facet_grid(sex ~ region, scales = "free_y") +
  xlab("Distance from otolith core (um)") +
  ylab("Sr/Ca (mmol/mol)") +
  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")
  )
}