bt.alo.2019.RdTo document migratory life histories of native galaxiids and introduced salmonids from a wide latitudinal range in Chilean Patagonia, otolith microchemistry data were analysed using a recursive partitioning approach to test for diadromy.
bt.alo.2019The data frame 64,351 × 10 contains the following columns:
| fish_id | integer | fish identifier |
| file_id | character | file identifier |
| species | character | scientic name |
| family | character | family of species |
| location | character | location of capture |
| ontogenetic_stage | character | ontogenetic stage |
| transect_quality | character | transect quality: F(GOOD transect, edge-core-edge, good quality, easy to interpret); H(half transect, edge to core); P(partial transect, edge – core – extra data without reaching the next edge); O(FLAGGED transect that failed to go through the core and may or may not be complete from one edge to the next) |
| inferred_migration_pattern | character | inferred migration pattern |
| distance | integer | relative transect distance (5um) |
| sr_ca | numeric | otolith sr:ca (mmol/mol) |
This study was to document migratory life histories of native galaxiids and introduced salmonids from a wide latitudinal range in Chilean Patagonia (39–48°S). Otolith microchemistry data were analysed using a recursive partitioning approach to test for diadromy in Patagonian river fishes.
Instrument: LA-ICP-MS (laser ablation-inductively coupled plasma mass spectrometry)
Beam diameter: 50um
Scan speed: 5um/s
Reference materials: FEBS-1 (National Research Council Canada, Institute for National Measurement Standards Ottawa, ON, Canada)
Alò, D., Correa, C., Samaniego, H., Krabbenhoft, C. A., & Turner, T. F. (2019). Otolith microchemistry and diadromy in Patagonian river fishes. PeerJ, 7, e6149. https://doi.org/10.7717/peerj.6149
Data availability are available at https://doi.org/10.6084/m9.figshare.6387665.v2
Traversing the paper's information via Semantic Scholar ID f3fbf9d38b442b7a2027f2e3faed1291ef41f76f using S2miner package
otolith, trace element, Sr/Ca
### copy data into 'dat'
dat <- bt.alo.2019
tibble::tibble(dat)
#> # A tibble: 64,351 × 10
#> fish_id file_id species family location ontogenetic_stage transect_quality inferred_migration_p…¹
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 2 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 3 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 4 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 5 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 6 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 7 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 8 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 9 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> 10 4359 040.txt Aplochit… Galax… Valdivi… adult F catadromous
#> # ℹ 64,341 more rows
#> # ℹ abbreviated name: ¹inferred_migration_pattern
#> # ℹ 2 more variables: distance <int>, sr_ca <dbl>
if (FALSE) {
### load package
library(dplyr)
library(ggplot2)
### otolith sr/ca
ggplot(data = dat, aes(distance, sr_ca)) +
geom_line(aes(colour = species, group = fish_id), show.legend = F, na.rm = T) +
facet_grid(species ~ transect_quality, scales = "free_y") +
xlab("Relative transect distance (5um)") +
ylab("otolith 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")
)
}