The work I presented showed that prioritizing detections across all shorebird species based on the model using eBird data resulted in the greatest overall value across all budgets. Since then, I have also been able to demonstrate that achieving the same biodiversity target cost up to $165705.09 USD more when using professional monitoring data compared to community science data. The difference in cost was greater for American Avocet, Long and short- billed Dowitcher, and Western Sandpiper, and was generally greater at higher biodiversity targets. Additionally, using eBird data resulted in higher biodiversity values compared to prioritizations based on selecting the cheapest properties. eBird data therefore provides valuable information that improves decisions beyond just reserving more money for action.