Fig. 6.
Differences in community composition using data from 13 counties that had at least 50 data points in each dataset. A) Non-metric multidimensional scaling ordination showing that bee community compositions were significantly different (perMANOVA, P < 0.001, R2 = 0.35). B) The number of species from each county that were found only in collection, in both datasets, or only in iNaturalist data. These numbers are analogous to those from the Venn diagram (Fig. 4) but at the county instead of state level. Collections had 4.2 times more unique species per county than iNaturalist (t14.3 = 7.5, P < 0.001).

Differences in community composition using data from 13 counties that had at least 50 data points in each dataset. A) Non-metric multidimensional scaling ordination showing that bee community compositions were significantly different (perMANOVA, P < 0.001, R2 = 0.35). B) The number of species from each county that were found only in collection, in both datasets, or only in iNaturalist data. These numbers are analogous to those from the Venn diagram (Fig. 4) but at the county instead of state level. Collections had 4.2 times more unique species per county than iNaturalist (t14.3 = 7.5, P < 0.001).

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