DOI: 10.5061/dryad.z08kprrmt
title: Data from: Rescue or murder? The effect of prey adaptation to the predator subjected to fisheries

description: The concept of “indirect evolutionary rescue” refers to the evolutionary
 adaptation of an interacting species that can save a focal species from
 extinction in an unfavorable environment. Although theories suggest that
 indirect evolutionary rescue may have essential impacts on catchments in
 the context of fisheries where artificial selection pressure from fishing
 can drive evolution, its generality and conditions remain uncertain. In
 this study, by investigating how prey adaptation affects the persistence
 of a predator subjected to selective harvest with an eco-evolutionary
 predator-prey model, we find that prey adaptation tends to deteriorate
 (facilitate) predator persistence when predator’s evolvability is high
 (low). In the system where the predator possesses high evolvability,
 selection by fisheries inhibits a predator’s adaptation to prey, allowing
 the prey to escape predation by adaptation. Prey adaptation will affect
 predator persistence negatively, leading to evolutionary murder.
 Conversely, in the system where the predator’s evolvability is low, the
 removal of predator individuals by fisheries relaxes predation pressure on
 prey, making the prey less defensive. Vulnerable prey affects predator
 persistence positively, resulting in indirect evolutionary rescue. The
 context-dependent response of natural resources to fisheries identified in
 this study suggests that the eco-evolutionary interplay should be
 considered for better natural resource management.
description: In this study, we create an eco-evolutionary predator-prey system
 with mathematical analysis, to investigate the effect of prey adaptation
 to predator persistence. Here, we provide our
 simulation code written with R, and simulation data. With the code and
 data, our result can be reproduced.
description: # Data from: Rescue or murder? The effect of prey adaptation to the
 predator subjected to fisheries ## Description of file structure We supply
 an R script ("**Simulation code.R**") and four CSV files
 containing simulation data for Figures 2, 3, and 4.  1\.
 "**Simulation code.R**" * This script, written for R version
 4.2.1, can simulate the UB case, LB case, and general cases. The
 corresponding modifications for each case are indicated in the annotations
 within the script. 2\. "**Simulation data in UB case for Figure
 2**" and "**Simulation data in LB case for Figure 2**" *
 These files provide the population densities (x, y) and body sizes (u, v)
 at each time step under different scenarios. * The columns
 "x_NE", "y_NE", "u_NE", and "v_NE"
 refer to the population densities and body sizes in the non-evolvable prey
 scenario. * The columns "x_E", "y_E", "u_E",
 and "v_E" refer to the population densities and body sizes in
 the evolvable prey scenario. 3\. "**Simulation data in general cases
 for Figure 3**" and "**Simulation data in general cases for
 Figure 4**" * In these files, the columns "es" and
 "em" provide the parameter values after log-transformation. *
 The columns "x_pre", "y_pre", "u_pre", and
 "v_pre" represent the densities and body sizes at the
 pre-harvest equilibrium. * The columns "x_aft_NE",
 "y_aft_NE", "u_aft_NE", and "v_aft_NE" show
 the densities and body sizes at the post-harvest equilibrium for
 non-evolvable prey. * The columns "x_aft_E",
 "y_aft_E", "u_aft_E", and "v_aft_E" show the
 same for evolvable prey. * The "Relative change of x",
 "Relative change of y", "Relative change of u", and
 "Relative change of v" columns are used to generate Figure 4.