Is there a way of generating a list of taxa for a given county that iNat automatically votes as “captive/cultivated”? I like to go through observations for taxa that I know trigger the iNat auto-vote and add a countervote to those that seem wild (in my area, Japanese maples, magnolias, ginkgos, the odd hosta of the woods, etc.), since I think many users are unaware of this iNat ‘feature’ (and one doesn’t receive notifications for DQA votes).
I would like to do this for all such taxa in my county (well, all plants at least), not just the ones I’ve already noticed, but I don’t actually know how to find them systematically. Per the help page, this would be taxa for which there are at least 10 observations in a given county and 80% of those observations are “captive/cultivated.” Any advice appreciated!
you can’t filter for a count of observations per taxon, but you can get a list of captive taxa in your county. from that, pick out the taxa that have 10+ observations, and get a count of all observations in the county for each of those taxa. then use the observation counts from each of the result sets to calculate the % captive for each of the taxa, and eliminate any that fall below the 80% threshold.
because the observations change over time, the list will change over time as you add or subtract observations. each time you want to get an updated list, you’d have to repeat the process from scratch.
For anyone curious, there are apparently 329 plant taxa in Washington, DC* that meet the 80%+ threshold for the automatic iNat casual vote (and 188 of those are 100% casual). There are 22,583 total observations of those taxa, which makes up 12% of all plant observations in the district (I suspect this is a higher percentage than most counties, as it is a very urban area).
I may have to rethink going through all of these casual records, but now I can at least pick out taxa over the threshold that I know have the potential to escape. It will also be useful for looking at non-casual observations in taxa that are just below the 80% cutoff, to see if any of those are improperly marked as ‘wild’, and thus potentially boosting the taxon above the automatic cutoff. So very helpful.
*changed from Montgomery County in links above, but will also be looking at that in the future.