The goal of this study was to determine if otolith chemistry could be used to reconstruct the habitats occupied by individual Clear Lake Hitch. Study objectives included determining the relative importance of natal habitats and early life migration histories that have contributed to the production and adult recruitment of Clear Lake Hitch.

bt.feyrer.2019

Format

The data frame 2,007 × 11 contains the following columns:

fish_idcharacterfish identifier
distancenumericdistance from the core to the edge of otolith (um)
sr8786numericotolith 87Sr/86Sr (permil)
sr8786_normnumericotolith sr8786 norm
standar_errornumericstandar error of sr8786
sr_vnumericsr v
datenumericdate of capture
lattitudenumericlattitude (NAD83)
longitudenumericlongitude (NAD83)
lengthnumericfish length (mm)
weightcharacterbody weight (g)

Details

The dataset includes four seperate files of data for a project that examined the strontium isotopic composition of otoliths of 46 Clear Lake Hitch Lavinia exilicauda chi. Otoliths examined in this study were from randomly-sampled individual Clear Lake Hitch that recruited into the adult population in Clear Lake. The fish were collected in June and July 2017. Strontium isotopic composition (87Sr/86Sr ) in otoliths was determined with a multicollector LA-ICP mass spectrometer (LA-ICMPS; Nu Plasma HR, Nu Instrument, Inc.) interfaced with a Nd : YAG 213-nm laser (New Wave Research UP213) at the University of California, Davis.

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

Beam diameter: 40um

Reference materials: NIST-987 (National Institutes of Standards and Technology)

Source

Feyrer, F., Whitman, G., Young, M., & Johnson, R. C. (2019). Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperilled potamodromous cyprinid Clear Lake hitch Lavinia exilicauda chi. Marine and Freshwater Research70(12), 1689-1697. https://doi.org/10.1071/MF18264

Data availability are available at https://doi.org/10.5066/P9IX7L5V

Traversing the paper's information via Semantic Scholar ID 19fc02676d9a25c4a9896dc543d17f716ccb8c3c using S2miner package

Author

Liuyong Ding, ly_ding@126.com

Concepts

otolith, stable isotope, Sr8786

Examples

### copy data into 'dat'
dat <- bt.feyrer.2019
tibble::tibble(dat)
#> # A tibble: 2,007 × 11
#>    fish_id     distance sr8786 sr8786_norm standar_error  sr_v date  lattitude longitude length weight
#>    <chr>          <dbl>  <dbl>       <dbl>         <dbl> <dbl> <chr>     <dbl>     <dbl>  <int>  <int>
#>  1 CLH_2017_0…     9.97  0.707       0.707     0.000117   3.03 7/20…      39.0     -123.    280    425
#>  2 CLH_2017_0…    30.4   0.706       0.707     0.0000649  3.52 7/20…      39.0     -123.    280    425
#>  3 CLH_2017_0…    42.1   0.707       0.707     0.0000982  3.10 7/20…      39.0     -123.    280    425
#>  4 CLH_2017_0…    65.7   0.706       0.706     0.0000614  4.52 7/20…      39.0     -123.    280    425
#>  5 CLH_2017_0…    67.8   0.706       0.706     0.0000598  4.30 7/20…      39.0     -123.    280    425
#>  6 CLH_2017_0…   113.    0.706       0.706     0.000104   4.47 7/20…      39.0     -123.    280    425
#>  7 CLH_2017_0…   156.    0.706       0.706     0.000077   4.23 7/20…      39.0     -123.    280    425
#>  8 CLH_2017_0…   191.    0.706       0.706     0.0000489  4.26 7/20…      39.0     -123.    280    425
#>  9 CLH_2017_0…   234.    0.706       0.706     0.0000688  4.11 7/20…      39.0     -123.    280    425
#> 10 CLH_2017_0…   273.    0.706       0.706     0.0000814  4.03 7/20…      39.0     -123.    280    425
#> # ℹ 1,997 more rows

if (FALSE) {
library(dplyr)
library(ggplot2)

### Sr stable isotope
ggplot(data = dat, aes(distance,sr8786)) +
  geom_line(aes(group = fish_id),show.legend = F, na.rm = T, colour = "blue") +
  labs(
    x = expression(paste("Distance from the core to the edge of otolith (", 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")
  )
}