DOI: 10.5061/dryad.pk0p2ngq2
title: Simulated trapping and trawling exert similar selection on fish morphology

description: Commercial fishery harvest can influence the evolution of wild fish
 populations. Our knowledge of selection on morphology is however limited,
 with most previous studies focusing on body size, age and maturation.
 Within species, variation in morphology can influence locomotor ability,
 possibly making some individuals more vulnerable to capture by fishing
 gears. Additionally, selection on morphology has the potential to
 influence other foraging, behavioural, and life-history related traits.
 Here we carried out simulated fishing using two types of gears: a trawl
 (active gear) and trap (a passive gear), to assess morphological
 trait-based selection in relation to capture vulnerability. Using
 geometric morphometrics, we assessed differences in shape between high and
 low vulnerability fish, showing that high vulnerability individuals
 display shallower body shapes regardless of gear type. For trawling, low
 vulnerability fish displayed morphological characteristics that may be
 associated with higher burst-swimming, including a larger caudal region
 and narrower head, similar to evolutionary responses seen in fish
 populations responding to natural predation. Taken together, these results
 suggest that divergent selection can lead to phenotypic differences in
 harvested fish populations.
description: This is a grouped dataset created in the R programming language.
 Data should be used in conjunction with an R script which is found as
 supplementary materials in the associated article. The dataset will is
 used to recreate the statistical analyses presented in the
 article.
description: File structure: file
 name: <strong>gdf.all - global dataset of all
 fish</strong> coords: procrustes shapes for each
 fish<br> Csize: centroid size for each fish<br> treat: factor
 indicating what group fish belonged to (high vulnerability or low
 vulnerability)<br> gear: gear of each fish<br> sex: sex of
 each fish<br> mass: mass of each fish<br> length: length of
 each fish file
 name: <strong>gdf.tra</strong> and
 <strong>gdf.trw</strong> -<strong> </strong>Similar to gdf.all but subsetted for each gear file name: <strong>trap.list </strong>and <strong>trawl.list -</strong> Contain raw morphological coordinates for fish  fish: raw morphological coordinates taken from fish<br> length: factor indicating what group fish belonged to (high vulnerability or low vulnerability) file name:<strong> fin.df = </strong>data used for caudal area and caudal aspect ratio models<br> <br> caudal_height: caudal height for each fish in mm<br> caudal_area: caudal area for each fish in mm sq<br> gear: gear of each fish<br> treatment: factor indicating what group fish belonged to (high vulnerability or low vulnerability)<br> tag.id: elastomer tag code for each fish<br> w.weight: mass of each fish in grams<br> sl.length: standard length of each fish in mm<br> sex: sex of each fish Below are the packages and versions used to reproduce analysis. R version 4.1.2 (2021-11-01)<br> Platform: x86_64-w64-mingw32/x64 (64-bit)<br> Running under: Windows 10 x64 (build 19042) Matrix products: default locale:<br> [1] LC_COLLATE=English_United Kingdom.1252  LC_CTYPE=English_United Kingdom.1252<br> [3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C<br> [5] LC_TIME=English_United Kingdom.1252 attached base packages:<br> [1] stats     graphics  grDevices utils     datasets  methods   base other attached packages:<br>  [1] bootStepAIC_1.2-0 smatr_3.4-8       MASS_7.3-54       caret_6.0-90      lattice_0.20-45   geomorph_4.0.1<br>  [7] Matrix_1.3-4      rgl_0.108.3       RRPP_1.1.2        forcats_0.5.1     stringr_1.4.0     dplyr_1.0.7<br> [13] purrr_0.3.4       readr_2.0.2       tidyr_1.1.4       tibble_3.1.5      ggplot2_3.3.5     tidyverse_1.3.1