Data from: Strong and weak environmental perturbations cause contrasting restructure of ant transportation networks
Data files
Feb 27, 2025 version files 482.71 KB
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empirical_edges.csv
326.96 KB
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empirical_nodes.csv
146.82 KB
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README.md
8.93 KB
Abstract
Dynamic transportation networks are embedded in all levels of biological organisation. Ever-growing anthropogenic disturbances and an increasingly variable climate highlight the importance of understanding how these networks restructure under environmental perturbations. Polydomous wood ants provide a convenient model system to study the resilience of self-organising multi-source multi-sink transportation networks. We used ten years of longitudinal empirical data on both unperturbed and experimentally manipulated colony networks to develop and validate a comprehensive dynamic simulation model to study network restructuring after resource removal. We performed simulation experiments to study the effects of excluding food sources with varying importance, either temporarily or permanently, imitating pulse and press perturbations of the networks. We found that removing heavily used resources, corresponding to a strong targeted perturbation, persistently decreased network efficiency, unlike random or weak perturbations. We also found that strong perturbations had excessively adverse effects on robustness and function, reducing the networks’ ability to withstand potential future perturbations. When transportation networks develop around the efficient use of a few key resources, they may be unable to quickly recover from the loss of these through self-organized restructuring. Our findings highlight the importance of considering the interaction of perturbation strength and network structure in studying transportation network dynamics.
The original empirical data used in this study, including network edges and nodes, is available for direct download as empirical_edges.csv and empirical_nodes.csv within the uploaded files and is also contained in Ant_networks_Code_and_Data.zip (see the 'Input' folder inside the ZIP file). A detailed description of all uploaded data, code, and results is listed below.
The study aims to improve our understanding of the structural changes happening in multi-sink multi-source transport networks in response to environmental perturbations. We designed to model to accurately describe the structure, dynamics, and perturbation responses of wood ant (Formica lugubris) colony networks.
We provide a complete, detailed model description, following the ODD (Overview, Design concepts, Details) protocol [1–3] in the Supplementary Material document.
The project is implemented in R 4.2.3. See Supplementary Methods S1.4 and sessionInfo.txt for more details. Execute Run_simulations.R to run simulation experiments. The results will be saved in "./Output/" in a folder named by the date and time when the simulations started.
List of files in 'Ant_networks_Code_and_Data.zip'
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Input
- Empirical data
- empirical_edges.csv - Empirical data: network edges. ATTENTION! This file must be copied to the location
./Input/Empirical data/for the code to run. - empirical_nodes - Empirical data: network nodes. ATTENTION! This file must be copied to the location
./Input/Empirical data/for the code to run. - Colony_6.png - Example empirical colony map. See S1.2.4 Colony maps
- Colony_10.png - Example empirical colony map. See S1.2.4 Colony maps
- empirical_edges.csv - Empirical data: network edges. ATTENTION! This file must be copied to the location
- Empirical_network_statistics.R - Calculation of network measures on the empirical networks
- Model_parameters.R - Estimates empirical and defines non-estimated parameters
- Empirical data
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Output
- Empirical_statistics - The calculated empirical network measures
- empirical_stats.csv - Empirical network measures
- empirical_stats.rds - Empirical network measures
- Model_parameters
- estimated_parameters.csv - List of parameters estimated from the empirical data
- estimated_parameters.rds - List of parameters estimated from the empirical data
- gravity_parameters.csv - Estimated parameters for the gravity model
- gravity_parameters.rds - Estimated parameters for the gravity model
- not_estimated_parameters.csv - List of not estimated parameters
- not_estimated_parameters.rds - List of not estimated parameters
- MS_Figures
- Figure_ERC.pdf - Figure 2
- Figure_ERC.png - Figure 2
- Figure_NT.pdf - Figure 3
- Figure_NT.png - Figure 3
- Simulation run 2023-06-27 15_29_43 - The simulation results used for the study. Extract the zip file before use!
- Empirical_statistics - The calculated empirical network measures
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Supplementary_Methods.pdf - Detailed model description
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Supplementary_Methods.Rmd - Rmarkdown files preparing Supplementary Methods S1
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Supplementary_Results.Rmd - Rmarkdown files preparing Supplementary Methods S2
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Supplementary_references.bib - BibLatex file with the references for the Supplementary Materials
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Validation_report_template.Rmd - Rmarkdown template called by Run_simulations.R to prepare the validation report
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Experiment_report_template.Rmd - Rmarkdown template called by Run_simulations.R to prepare individual reports on the experiments
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List_of_parameters.Rmd - Rmarkdown template called by Run_simulations.R to prepare a list of the used parameters
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Model_code.R - The codebase for running simulation experiments
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Run_simulations.R - Runs the exclusion experiments, prepares the validation and result reports, and generates individual reports for the experiments
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sessionInfo.txt - Information on R and package versions
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sessionInfo_all.txt - Detailed information on packages
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Simulation_results_template.Rmd - Rmarkdown template called by Run_simulations.R to prepare the results report
Data file Description:
empirical_nodes.csv
This dataset contains information about the nodes in the network, including nests and trees, across different years. Each row represents a nest or tree at a specific time.
- network_ID (Character): Unique identifier for the colony network on a specific date (e.g., "10_2012-07-26").
- colony (Character): Unique identifier for the colony (e.g., "10", "2b", "6").
- date (Character, format: DD/MM/YYYY): Date when data was collected.
- node_ID (Character): Unique identifier for the node, including colony information (e.g., "10_N1").
- ID (Character): Simple identifier for the node within the colony (e.g., "N1", "N10").
- x (Numeric, relative spatial coordinate): X-coordinate of the node.
- y (Numeric, relative spatial coordinate): Y-coordinate of the node.
- species (Character): Node type, either "nest" (ant nest) or "tree" (foraging tree).
- nest_size (Numeric, mound volume in cm³): Estimated size of the nest based on mound volume. Trees have a value of 1.
- year (Integer): Year of data collection.
- tree_type (Character): Type of tree, either "regular" or "excl. tree" (excluded from foraging in the experiment).
- treatment (Character): Experimental treatment type, either "exclusion" (tree excluded from foraging) or "control" (unmanipulated colony).
- dataset (Character): Classification of the data as "Estimation" (2012–2016 pre-experiment), "Empirical exclusion" (2017–2021 exclusion treatment), or "Empirical control" (2017–2021 control treatment).
empirical_edges.csv
This dataset contains information about foraging and internest trails between wood ant nests and trees across multiple years. Each row represents an edge (trail) in the network.
- colony (Character): Unique identifier for the colony (e.g., "2b", "6", "9").
- date (Character, format: DD/MM/YYYY): Date when data was collected.
- distance (Numeric, meters): Length of the trail between two nodes (nest-to-nest or nest-to-tree).
- from (Character): Identifier of the starting node (nest or tree) of the trail.
- from_ID (Character): Unique identifier for the starting node, including colony information (e.g., "2b_N1").
- from_ID_date (Character): Unique identifier for the starting node with date information (e.g., "2b_N1_2012-07-26").
- from_nest_size (Numeric, mound volume in cm³): Estimated size of the starting nest based on mound volume.
- from_x (Numeric, relative spatial coordinate): X-coordinate of the starting node.
- from_y (Numeric, relative spatial coordinate): Y-coordinate of the starting node.
- network_ID (Character): Unique identifier for the colony network on a specific date (e.g., "2b_2012-07-26").
- strength (Numeric, ants/mm): Trail strength measured as the number of ants per millimeter.
- to (Character): Identifier of the ending node (nest or tree) of the trail.
- to_ID (Character): Unique identifier for the ending node, including colony information (e.g., "2b_T1").
- to_ID_date (Character): Unique identifier for the ending node with date information (e.g., "2b_T1_2012-07-26").
- to_nest_size (Numeric, mound volume in cm³): Estimated size of the ending nest based on mound volume.
- to_x (Numeric, relative spatial coordinate): X-coordinate of the ending node.
- to_y (Numeric, relative spatial coordinate): Y-coordinate of the ending node.
- trail_ID (Character): Unique identifier for the trail, including colony and date (e.g., "2b_2012-07-26_N1_T1").
- trail_type (Character): Type of trail, either "foraging" (nest-to-tree) or "internest" (nest-to-nest).
- tree_type (Character): Type of tree used, either "regular" or "focal" (for experimental purposes).
- year (Integer): Year of data collection.
- treatment (Character): Experimental treatment type, either "exclusion" (tree excluded from foraging) or "control" (unmanipulated colony).
- dataset (Character): Classification of the data as "Estimation" (2012–2016 pre-experiment), "Empirical exclusion" (2017–2021 exclusion treatment), or "Empirical control" (2017–2021 control treatment).
References
- Grimm V et al. 2006 A standard protocol for describing individual-based and agent-based models. Ecol. Model. 198, 115–126. (doi:10.1016/j.ecolmodel.2006.04.023)
- Grimm V, Berger U, DeAngelis DL, Polhill JG, Giske J, Railsback SF. 2010 The ODD protocol: A review and first update. Ecol. Model. 221, 2760–2768. (doi:10.1016/j.ecolmodel.2010.08.019)
- Grimm V et al. 2020 The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism. J. Artif. Soc. Soc. Simul. 23. (doi:10.18564/jasss.4259)
Methods: How was this dataset collected?
This dataset was collected from a long-term study on nine polydomous wood ant (Formica lugubris) colony networks at Longshaw Estate, Peak District, UK (N53°18’33”, E1°36’96”), spanning the period 2012–2021. Colony mapping followed the protocol of Ellis & Robinson (2015) and was conducted annually in late summer (July–August), coinciding with peak ant activity.
Data collection involved:
- Nest and Foraging Mapping: Actively used nests and the trees they foraged on were recorded.
- Trail Measurement: Internest and foraging trail lengths were measured, and trail strength was assessed by recording the distance required to count ten ants at the midpoint of each trail. This recorded distance was then converted into ants per millimeter (ants/mm) for further analysis.
- Nest Population Estimation: The mound-volume technique (Chen & Robinson, 2013) was used to estimate nest sizes.
- Previous Empirical Perturbation Experiment (2017–2021): Five colonies underwent a tree exclusion experiment in a previously published study, where a major foraging tree was temporarily blocked for one year to analyze network adaptation. Five other colonies served as controls. See Burns et al. (2021) for details.
How has it been processed?
The dataset was pre-processed to extract relevant model parameters and validate simulations:
- 2012–2016 data were used for parameter estimation, defining network structures such as nest density, trail lengths, foraging behaviors, and colony size.
- 2017–2021 data were categorized for model validation, comparing control and exclusion-treated colonies to assess network adaptation.
- The original data are stored in CSV format. The csv files (empirical_edges.csv and empirical_nodes.csv) are available for direct download and are also contained in Ant_networks_Code_and_Data.zip (see the 'Input' folder inside the ZIP file).
For a complete description of the methodology and dataset structure, refer to the Supplementary Methods (S1.2) and the included README file.
References
Burns DDR, Franks DW, Parr C, Robinson EJH. 2021. Ant colony nest networks adapt to resource disruption. Journal of Animal Ecology 90, 143–152. doi:10.1111/1365-2656.13198
Ellis S, Robinson EJH. 2015. The role of non-foraging nests in polydomous wood ant colonies. PLOS ONE 10, e0138321. doi:10.1371/journal.pone.0138321
Chen Y-H, Robinson EJH. 2013. A comparison of mark–release–recapture methods for estimating colony size in the wood ant Formica lugubris. Insectes Sociaux 60, 351–359. doi:10.1007/s00040-013-0300-z
- Piross, Imre Sándor; Lecheval, Valentin; Powell, Scott et al. (2025). Data from: Strong and weak environmental perturbations cause contrasting restructure of ant transportation networks. Zenodo. https://doi.org/10.5281/zenodo.10610577
- Piross, Imre Sándor; Lecheval, Valentin; Powell, Scott et al. (2025). Data from: Strong and weak environmental perturbations cause contrasting restructure of ant transportation networks. Zenodo. https://doi.org/10.5281/zenodo.10610576
- Piross, Imre Sándor; Lecheval, Valentin; Powell, Scott et al. (2025). Strong and weak environmental perturbations cause contrasting restructure of ant transportation networks. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2024.2342
