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Data from: The ecology of spider sociality – A spatial model Vásárhelyi, Zsóka; Scheuring, István; Avilés, Leticia
Description
<b>Abstract</b><br/>
The emergence of animal societies offers unsolved problems for both evolutionary and ecological studies. Social spiders are specially well suited to address this problem given their multiple independent origins and distinct geographical distribution. Based on long term research on the spider genus <em>Anelosimus</em>, we developed a spatial model that recreates observed macroecological patterns in the distribution of social and subsocial spiders. We show that parallel gradients of increasing insect size and disturbance (rain, predation) with proximity to the lowland tropical rainforest would explain why social species are concentrated in the lowland wet tropics, but absent from higher elevations and latitudes. The model further shows that disturbance, which disproportionately affects small colonies, not only creates conditions that require group living, but also tempers the dynamics of large social groups. Similarly simple underlying processes, albeit with different players on a somewhat different stage, may explain the diversity of other social systems.</p>
</p>; <b>Methods</b><br />
This dataset was created by a spatial computer model written in python. The dataset contains the main results, further results can be re-generated by the python code, or its minor variants, available as a supplement of our publication.</p>
The modelled grid incorporates parallel gradients of insect size and disturbance in a square lattice grid, one end of which represents a high elevation tropical cloudforest, the other, a lowland tropical rainforest. As we move from the cloudforest to the rainforest, insects get larger and disturbances more severe. Each node can be inhabited by a single colony of either a subsocial or a social spider species, as inspired by those in the genus <em>Anelosimus</em>.</p>; <b>Usage notes</b><br />
readme.txt -> help</p>
</p>
FOLDERS</p>
basic_setting -> the model with the basic parameters</p>
test_preysize_hyp -> test of the prey size hypothesis</p>
test_disturbance_hyp -> test of the disturbance hypothesis</p>
control_preysize_hyp -> control for the prey size hypothesis</p>
control_disturbance_hyp -> control for of the disturbance hypothesis</p>
</p>
FILES WITHIN FOLDERS</p>
col_sizes.txt -> records colony sizes at 1 arbitrary position in each environment</p>
data_allsizes -> descriptive statistics for all social colony sizes averaged throughout the last 100 generations</p>
data_social -> descriptive statistics on all social colonies within each generation</p>
data_subsocial -> descriptive statistics on all subsocial colonies within each generation</p>
parameters -> main parameters of the simulation</p>
population -> records the whole grid (both populations) in the last two generations</p>
Item Metadata
| Title |
Data from: The ecology of spider sociality – A spatial model
|
| Creator | |
| Date Issued |
2022-02-02
|
| Description |
<b>Abstract</b><br/>
The emergence of animal societies offers unsolved problems for both evolutionary and ecological studies. Social spiders are specially well suited to address this problem given their multiple independent origins and distinct geographical distribution. Based on long term research on the spider genus <em>Anelosimus</em>, we developed a spatial model that recreates observed macroecological patterns in the distribution of social and subsocial spiders. We show that parallel gradients of increasing insect size and disturbance (rain, predation) with proximity to the lowland tropical rainforest would explain why social species are concentrated in the lowland wet tropics, but absent from higher elevations and latitudes. The model further shows that disturbance, which disproportionately affects small colonies, not only creates conditions that require group living, but also tempers the dynamics of large social groups. Similarly simple underlying processes, albeit with different players on a somewhat different stage, may explain the diversity of other social systems.</p> </p>; <b>Methods</b><br /> This dataset was created by a spatial computer model written in python. The dataset contains the main results, further results can be re-generated by the python code, or its minor variants, available as a supplement of our publication.</p> The modelled grid incorporates parallel gradients of insect size and disturbance in a square lattice grid, one end of which represents a high elevation tropical cloudforest, the other, a lowland tropical rainforest. As we move from the cloudforest to the rainforest, insects get larger and disturbances more severe. Each node can be inhabited by a single colony of either a subsocial or a social spider species, as inspired by those in the genus <em>Anelosimus</em>.</p>; <b>Usage notes</b><br /> readme.txt -> help</p> </p> FOLDERS</p> basic_setting -> the model with the basic parameters</p> test_preysize_hyp -> test of the prey size hypothesis</p> test_disturbance_hyp -> test of the disturbance hypothesis</p> control_preysize_hyp -> control for the prey size hypothesis</p> control_disturbance_hyp -> control for of the disturbance hypothesis</p> </p> FILES WITHIN FOLDERS</p> col_sizes.txt -> records colony sizes at 1 arbitrary position in each environment</p> data_allsizes -> descriptive statistics for all social colony sizes averaged throughout the last 100 generations</p> data_social -> descriptive statistics on all social colonies within each generation</p> data_subsocial -> descriptive statistics on all subsocial colonies within each generation</p> parameters -> main parameters of the simulation</p> population -> records the whole grid (both populations) in the last two generations</p> |
| Subject | |
| Type | |
| Notes |
Dryad version number: 3</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/-TiTxMHExXE8Rx6CJ36KXpZ2JkLhEOG53uVwEC9qtfg</p> Storage size: 10068222</p> Visibility: public</p> |
| Date Available |
2021-11-05
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| Provider |
University of British Columbia Library
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| License |
CC0 Waiver
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| DOI |
10.14288/1.0406468
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| URI | |
| Publisher DOI | |
| Grant Funding Agency |
Hungarian Scientific Research Fund; Natural Sciences and Engineering Research Council of Canada; Hungary’s Economic Development and Innovation Operative Program*
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| Rights URI | |
| Aggregated Source Repository |
Dataverse
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Licence
CC0 Waiver