Global warming affects foraging efficiency of fish by influencing mutual interference
Data files
Feb 12, 2025 version files 15.89 KB
Abstract
Predator-prey interactions underpin ecological dynamics from population to ecosystem scales, affecting population growth and influencing community stability. One of the classic methods to study these relationships is the functional response (FR) approach, measuring resource use across resource densities. Global warming is known to strongly mediate consumer-resource interactions, but the relevance of prey and predator densities remains largely unknown. Elevated temperature could increase consumer energy expenditure, which needs to be compensated by greater foraging activity. However, such greater activity may concurrently result in a higher encounter rate with other consumers, which potentially affects their total pressure on resource population because of synergistic or antagonistic effects among multiple predators. We performed a laboratory experiment using three densities of a fish predator (pumpkinseed, Lepomis gibbosus) (one, two, and four specimens), two temperatures (25 and 28 oC), and six prey densities. Using the FR approach, we investigated the combined effects of elevated temperature and predator and prey density on consumer’s foraging efficiency. We observed a reduced maximum feeding rate at the higher temperature for single predators. The foraging efficiency of predators in groups was generally associated with antagonistic interactions, whose strength was greater for higher predator densities, but was further mediated by the temperature. Specifically, we observed a general decrease in antagonistic interactions in elevated compared to the ambient water temperature for multiple predator groupings. Irrespective of temperature, antagonistic multiple predator effects increased with predator density and peaked unimodally at intermediate prey densities, indicating multiple dimensions of density-dependence which interact to supersede the effects of warming. This study shows that increasing temperature affects the per capita performance of predators, but that this effect is dampened with increasing predator densities. Their adaptive response to temperature consists of limited food intake and further reduced intraspecific interactions. Including conspecifics as food competitors may thus offer more realistic outcomes compared to widely-used experiments with only single predator individuals, which could overestimate the effect of increasing temperature.
https://doi.org/10.5061/dryad.9ghx3fftk
Description of the data and file structure
The authors collected all data included during the experiment. The compressed .zip file contains .csv files with the raw data and additional data necessary to recreate all the statistical analyses related to the study. It also includes the code prepared in R open software.
Files and variables
File: Augustyniak_et_al._Global_warming_affects_mutual_interference.zip
Description:
exp.csv - the file contains raw data collected during the experiment. Variables:
Tank ID - experimental unit identifier
Species - fish species used, for clarity
Temperature - water temperature (degrees Celsius): "Current (25)" represents the ambient temperature scenario, "Elevated (28)" represents the warming scenario
Predator density - number of predator individuals placed in particular experimental unit
Day - test day (experiment last 6 days in total)
Initial prey density - initial density of prey individuals (gammarids) provided at the start of the experiment (6 prey densities were offered for each predator density)
No. alive prey left - number of prey individuals left alive after 1 hour of the experiment
No. prey eaten - number of prey individuals eaten during the experiment (the difference between Initial prey density and No. alive prey left)
size.csv - the file contains fish size measurements. Variables:
Fish_id - fish identifier
temp - water temperature: "ambient" correspond to 25 degrees Celsius, "warming" to 28 degrees Celsius
sl - fish standard length, in mm
size difference.csv - the file contains differences in standard length between fish placed in the same experimental unit (did not contain experimental units with one predator individual). Variables:
tank_id - experimental unit identifier
temp - water temperature: "ambient" correspond to 25 degrees Celsius, "warming" to 28 degrees Celsius
difference - difference in standard length between the biggest and the smallest fish in the same tank, in mm
exp_param.csv - Functional response parameters obtained via the statistical analyses. Variables:
Estimate - parameter (a or h, explained in "parameters" variable) estimate, modelled via equation (1) (random predator equation) in the manuscript
Std.Error - standard error of the estimate from the model
parameters - parameter of interest: "a" is the attack rate, "h" is the handling time
Predator - treatment identificator: "amb" and "war" correspond to "ambient" and "warming" temperature, respectively, and following numbers inidicate predator density (1, 2 or 4)
CI - confidence intervals for parameter estimates, calculated as 1.96 x Std.Error
ISNT.csv - data to estimate the non-trophic interactions strength. Variables:
IS - interaction strength, calculated using the equation (3) in the manuscript (prey eaten/initial prey density from exp.csv)
P - the predicted consumption for each density from the population dynamic model, used to determine ISP in the same way as IS
ISP - predicted interaction strength using the equation (3) in the manuscript, with P as preay eaten
ISNT - non-trophic interaction strength, the difference between IS and ISP
Global warming affect mutual interference.R - Rcode necessary to recreate all the statistical analyses used
Code/software
Rcode is provided in "Global warming affects mutual interference.R" file. It was created and used with R open software, ver 4.2.1. The list of packages needed is provided at the beginning of the code.
