Data from: Rescue or murder? The effect of prey adaptation to the predator subjected to fisheries
Data files
Sep 20, 2024 version files 948.52 KB
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README.md
1.70 KB
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Simulation_data_in_general_cases_for_Figure_3.csv
17.87 KB
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Simulation_data_in_general_cases_for_Figure_4.csv
749.41 KB
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Simulation_data_in_LB_case_for_Figure_2.csv
82.51 KB
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Simulation_data_in_UB_case_for_Figure_2.csv
97.03 KB
Abstract
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.
README: 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.
Methods
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.