Renata Diaz 2021-04-17
We compare the results for very small communities (fewer than 2000 possible SADs in the feasible set) to larger communities within each dataset.
Only three of our datasets - Mammal Communities, Misc. Abundance, and FIA - have appreciable numbers of very small communities. We use 2000 possible SADs as a cutoff because it splits these datasets into reasonably large subsets of both “large” and “small” communities.
Proportions of communities in these datasets with fewer than 2000 possible SADs:
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
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The proportions of communities with >/\< 2000 possible SADs with extreme percentile scores for each dataset.
For dissimilarity, approximately 5% of communities would have extreme scores by chance. For all other metrics, this would be approximately 2.5%.
In the direction of effects usually seen:
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In the opposite direction:
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Breadth indices (top) and percentile scores (bottom) for communities with fewer than 2000 possible SADs, or more than 2000 possible SADs, from FIA, Mammal Community, and Misc. Abundance datasets.
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