Data from: Information use and resource competition: an integrative framework
| Main Authors: | Lee, Alexander E. G., Ounsley, James P., Coulson, Timothy, Rowcliffe, J. Marcus, Cowlishaw, Guy, Coulson, Tim |
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| Format: | info dataset Journal |
| Terbitan: |
, 2016
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4989678 |
Daftar Isi:
- Organisms may reduce uncertainty regarding how best to exploit their environment by collecting information about resource distribution. We develop a model to demonstrate how competition can facilitate or constrain an individual's ability to use information when acquiring resources. Since resource distribution underpins both selection on information use and the strength and nature of competition between individuals, we demonstrate interdependencies between the two that should be common in nature. Individuals in our model can search for resources either personally or by using social information. We explore selection on social information use across a comprehensive range of ecological conditions, generalising the producer-scrounger framework to a wide diversity of taxa and resources. We show that resource ecology – defined by scarcity, depletion rate, and monopolisability – determines patterns of individual differences in social information use. These differences suggest co-evolutionary processes linking dominance systems and social information use, with implications for the evolutionary demography of populations.
- Mean group-level scrounging probabilitiesMean group-level scrounging probabilities (column 5) for different, fixed values of N (column 1), a/F (column 2), c (column 3), and lambda (column 4). Data generated in R, representing numerical approximations of analytical solutions provided in manuscript.mean_tactic_group_level.csvMean individual-level scrounging probabilities and relative fitnessMean probabilities of scrounging behaviour (column 8), amount of resource consumed (column 7), and relative fitness (see manuscript for definition) (column 6) for individuals of different social ranks (column 5) across different fixed values of N (column 1), a/F (column 2), c (column 3) and lambda (column 4). Data generated in R. Probabilities, consumption rates, and fitnesses are computational approximations of analytical solutions provided in manuscript.means_individual_level.csv