Dataset DOI: 10.5061/dryad.kd51c5bkh

Description of the data and file structure

These data are for the manuscript "Multi-species sensory networks and social foraging strategies: implications for population decline in procellariiform seabirds" 

A description of every variable in the model can be found in the supplemental information, table S1. Additional information about the variables are listed here:

For the files that contain the phrase “Fig_3,” or “Fig_4” the variables are described here:

·         Species1 or Species2: The “species” for the birds. In all cases “Set Manual” was used, and the bird’s body length and flight speed were set manually, rather than using the pre-selection.

·         N-Species1 or N-Species2: The number of birds in species 1 or species 2, respectively

·         S1-DR or S2-DR: The detection distance (or vision) that the agent can detect another agent in units of body-lengths. This value is multiplied by the agent’s body length to get the value in meters or patches.

·         S1-Olfaction or S2-Olfaction: The olfactory abilities of the agent. Can be either low, high, or none. These values are described in the main text.

·         Strategy: The movement strategy the animal used while foraging. These options are described in the main text.

·         S1-Flight-Speed-MpS or S2-Flight-Speed-MpS: The speed that the agents move, in meters per second

·         S1-Body-Length-Meters or S2-Body-Length-Meters: The agent’s body length, in meters

·         Seed: The model seed (controls the randomization of variables)

·         [step]: The tick, or step time, at which the model terminated. If this value is less than 3600 then the model terminated early, indicating that at this time all of the agents had either found the food or exited the map

·         (count turtles with [did-find-food = 1]): The number of agents that successfully found the food

·         (count turtles with [did-find-food = 1 and ever-find-odor = 0]): The number of agents that successfully found the food, but never found the odor

·         (count turtles with [did-find-food = 1 and ever-find-odor = 1]): The number of agents that successfully found the food, and found the odor at some point in time

·         (allfoundodor): The number of agents that found the odor at some point in time

·         (count turtles): The number of agents still on the map at the time the model ended

The files that contain the phrase “Parameterizing” contain some of the variables describes above, in addition to some of the following variables:

·         Rate-Of-Puff-Radius-Increase: The rate at which the puff’s radius increases over time (as a function of diffusion) in meters/s

·         Odor-Source-Release-Rate: The rate at which puffs are being generated by the food source, in puffs/s

·         Eddy-Diffusivity: The exponent which sets the small-scale eddy diffusion coefficient. This value is the exponent X in 10^X (for example, a value of -1 results in 0.1 m2/s, while a value of 1 results in 10 m2/s)

·         weight-flocking: The amount to which the agents prioritize moving towards flockmates versus moving crosswind (the weighting for the flocking heading) where 1 = only flocking, and 0 = only moving crosswind

·         Time-Per-Turn: The total amount of time that elapses in between directional changes once the odor plume has been lost (i.e. the amount of time they continue to move upwind, and then the amount of time they maintain each heading before turning in the opposite direction during the zigzags)

·         zig-zag-heading-offset: The angle relative to “upwind” that the birds take during the zigzag headings (i.e. the direction they face during the zigzags, where 0 = upwind, and 90 = crosswind)

·         max-turning-radius-degrees-per-second: The maximum angle the birds are ever able to turn per second (their “roll angle”)

·         max-align-cohere-turn-degrees-per-second: The maximum angle the birds turn when aligning and cohering per second. Should not exceed the maximum turning radius

·         max-separate-turn-degrees-per-second: The maximum angle the birds turn when separating per second. Should be very small, as this is only a slight adjustment to prevent collisions

·         Denominator-For-Relationship-Between-DR-and-MinSep: The denominator which controls the relationship between DR and the minimum separation between birds (i.e. the minimum spacing between birds in a group) which is set as minimum separation = DR / denominator. The minimum separation value in meters as a function of this denominator is shown in the corresponding S1 or S2 Minimum Separation monitors

Files and variables

File: Netlogo_Model_v16.nlogo

The Netlogo model used to generate all data.

File: Code_for_Publication_Combined_Main_and_Supp_for_Dryad.Rmd

The code for analyzing all models and generating all figures

File: Fig_3A_BBA_v1.csv

The data used to generate figure 3A for the Black-browed Albatross (BBA) for seeds 1:100.

File: Fig_3A_BBA_v2.csv

The data used to generate figure 3A for the Black-browed Albatross (BBA) for seeds 101:500.

File: Fig_3A_WSP.csv

The data used to generate figure S5A, which is equivalent to figure 3A but for the Wilson's storm petrel (WSP).

File: Fig_3A_WCP.csv

The data used to generate figure S6A, which is equivalent to figure 3A but for the White-chinned petrel (WCP).

File: Fig_3A_Wandering_Albatross.csv

The data used to generate figure S7A, which is equivalent to figure 3A for the Wandering Albatross (WA).

File: Fig_3B_BBA_pop_5.csv

The data used to generate figure 3B for the BBA for a population of 5 birds.

File: Fig_3B_BBA_pop_10.csv

The data used to generate figure 3B for the BBA for a population of 10 birds.

File: Fig_3B_BBA_pop_20.csv

The data used to generate figure 3B for the BBA for a population of 20 birds.

File: Fig_3B_WSP.csv

The data used to generate figure S5B, which is equivalent to figure 3B but for the WSP.

File: Fig_3B_WCP.csv

The data used to generate figure S6B, which is equivalent to figure 3B but for the WCP.

File: Fig_3B_Wandering_Albatross.csv

The data used to generate figure S7B, which is equivalent to figure 3B but for the WA.

File: Fig_4_BBA_and_WCP.csv

The data used to generate figure 4 for the BBA and WCP.

File: Fig_4_WSP.csv

The data used to generate figure S5C, which is equivalent to figure 4 but for the WSP.

File: Fig_4_WCP.csv

The data used to generate figure S6C, which is equivalent to figure 4 but for the WCP.

File: Fig_4_Wandering_Albatross.csv

The data used to generate figure S7C, which is equivalent to figure 4 but for the WA.

File: Fig_4_BBA.csv

The data used to generate figure S8, which is equivalent to figure 4 but all of the birds are BBA.

File: Parameterizing_Sensitivity_Analysis.csv

The data used to generate table S2.

File: Parameterizing_Odor_Plume.csv

The data used to generate figures S1 and S2.

File: Parameterizing_MinSep.csv

The data used to generate figure S3.

File: Parameterizing_ZigZag.csv

The data used to generate figure S4.

Code/software

Modeling was done using the agent-based software, Netlogo, version 6.2.2.

Results were analyzed and plotted in R, version 4.3.1.

Access information

Other publicly accessible locations of the data:

• Github Repo