Thermal performance curves dataset based on Littorina littorea from different locations along a latitudinal gradient: Physiological and life history traits
Data files
Dec 03, 2025 version files 311.79 KB
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best_AIC_combination_selection.R
4.18 KB
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CTmax.xlsx
32.61 KB
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Feeding_rate.xlsx
18.22 KB
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Growth_dataset.xlsx
81.57 KB
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Litto_locations.xlsx
9.85 KB
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Map_Figure1.R
2.42 KB
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Metabolic_rate.csv
34.10 KB
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Models_and_plots_for_each_variable.R
16.49 KB
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Plot_figure3.R
8.37 KB
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README.md
3.94 KB
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Rmax_bootstrap_CI.R
4.94 KB
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Survival.xlsx
71.74 KB
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Thermal_breadth_bootstrap_CI.R
5.61 KB
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Topt_bootstrap_CI.R
5.04 KB
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TPC_estimation_CI.xlsx
12.72 KB
Abstract
Intraspecific variation in functional traits may indicate adaptation to environmental gradients and is crucial to understanding species distributions and range dynamics. We tested the hypotheses that: (1) thermal performance of Littorina littorea follows a countergradient cline, reflecting compensation in northern individuals and (2) local differentiation occurs at the range limits of its non-native Atlantic distribution.
Snails from 10 locations, spanning 10° of latitude and approximately 1700 km, were exposed to a gradient of 12 temperatures in the laboratory, and survival, growth, feeding, metabolic rate and heat tolerance were measured. Thermal performance curves obtained were compared and used to calculate performance parameters: that is, thermal optimum, maximum performance and thermal breadth.
Snails from the northern and southern range edges exhibited a gradual divergence in growth performance parameters relative to central populations. Snails from colder northern locations exhibited greater survival, feeding rate and heat tolerance when exposed to higher temperatures.
The dataset can be used in meta-analyses focused on evaluating differences among taxa and populations in thermal performance of functional traits, as well as thermal tolerance and acclimation capacity.
The dataset regards physiological measurements of Survival, Growth, Feeding rate, Metabolic rate, and CTmax measured in L. littorea individuals after an exposure period of 30 days to 12 temperature levels.
Description of the data and file structure
This dataset is composed on 5 excel files and 1 csv file. Each of them contain the raw data used for the analyses of the paper. The analysed variable are Survival, Growth, Feeding rate, Metabolic rate, CTmax. "CTmax.xlsx" Columns = Population (code), Temperature (Temperature of exposure, C°), CTMax (°C), Latitude (°), MeanSST (Summer mean Sea surface temperature, °C), SeasonLength (Day), MaxSST (Maximal SST, °C), Spawnmeansst (Mean SST of the spawning period, °C), Upper25thperc (Upper 25th percentile SST, °C), Upper10thperc (°C).
"Feeding_rate.xlsx" Columns = Temperature (Temperature of exposure, C°), CTMax (°C), Latitude (°), MeanSST (Summer mean Sea surface temperature, °C), SeasonLength (Day), MaxSST (Maximal SST, °C), Spawnmeansst (Mean SST of the spawning period, °C), Upper25thperc (Upper 25th percentile SST, °C), Upper10thperc (°C), lastrate (feeding rate, g day-1) Size2 (size at the end of exposure, mm).
"Growth_dataset.xlsx" Columns = Shellgrowth (growth of the shell after exposure, mm), Temperature (Temperature of exposure, C°), CTMax (°C), Latitude (°), MeanSST (Summer mean Sea surface temperature, °C), SeasonLength (Day), MaxSST (Maximal SST, °C), Spawnmeansst (Mean SST of the spawning period, °C), Upper25thperc (Upper 25th percentile SST, °C), Upper10thperc (°C).
"Metabolic_rate.csv" Columns = MO2 (metabolic rate O2 h-1), Population (code), Temperature (Temperature of exposure, C°), CTMax (°C), Latitude (°), MeanSST (Summer mean Sea surface temperature, °C), SeasonLength (Day), MaxSST (Maximal SST, °C), Spawnmeansst (Mean SST of the spawning period, °C), Upper25thperc (Upper 25th percentile SST, °C), Upper10thperc (°C).
"Survival.xlsx" Columns = Survival (Until end of exposure, 1 = alive, 0 = dead), Population (code), Temperature (Temperature of exposure, C°), CTMax (°C), Latitude (°), MeanSST (Summer mean Sea surface temperature, °C), SeasonLength (Day), MaxSST (Maximal SST, °C), Spawnmeansst (Mean SST of the spawning period, °C), Upper25thperc (Upper 25th percentile SST, °C), Upper10thperc (°C).
"TPC_estimation_CI.xlsx" columns = MeanSST (Summer mean Sea surface temperature, °C), Corresponding location (code) ,Param (type of parameter) Estimation (value of the parameter) CI_Lower (lower confidence interval) CI_Upper (upper confidence interval).
Code/Software
The code files (.R) are: "best_AIC_combination_selection.R" - the code used to select the best model through every combinations of factors and polynomial degrees - , "Models and plots for each variable.R" - The models selected for each variable and the plots created based on these models - , "Rmax bootstrap CI.R", "Thermal breadth bootstrap CI.R", "Topt bootstrap CI.R" - The bootstrap methodology used to extract TPC parameters (Rmax, Topt, Breadth, respectively) from predictions based on the selected model for Feeding rate and Growth and their correspondant confidence intervals - , "Models_and_plots_for_each_variable.R" - The models with plot for each variable -, "Rmax_bootstrap_CI.R" - Rmax bootstrap to obtain the confidence intervals of the parameter -, "Thermal_breadth_bootstrap_CI.R" - Thermal breadth bootstrap to obtain the confidence intervals of the parameter -, "Topt_bootstrap_CI.R" - Thermal optimum bootstrap to obtain the confidence intervals of the parameter -, "Map_Figure1.R" - Code used to make the map of figure 1, using the data from "Litto_locations.xlsx" - , "Plot_figure3.R" - Code to create the plot of Figure 3 based on "TPC_estimation_CI.xlsx" data -.