A few weeks ago while on a hike, I encountered a fungal infection of multiple conifers that I couldn’t identify, with needles seemingly fused together into mats. I couldn’t find it in lists of common conifer infections, and the computer vision wasn’t even able to ID it as a fungus. With the help of @…

Good question! I don’t think there is an agreed-upon standard here. The only thing I would say no to is putting observations from different sites together. But otherwise you could put a few from one site together, or you could do one sighting for each infected tree (but that gets tedious). It’s …

One thing I could see being interesting in making each separate infected individual its own observation is that the geotags create somewhat of a local cross section at one point in time of the severity as a function of altitude, and because its growth is highly dependent on snow pack depth that migh…

[image] wildskyflower: However, it would also wildly skew the frequency and location of occurrence statistics iNat is not designed to accurately represent/record abundance of species across space and time, so this shouldn’t be a concern/reason for you not to post them. All 131 observations of…

[image] wildskyflower: it would probably be enough that it would kick herpotrichia juniperi over the threshold to be included in the computer vision I may be wrong, but I think I remember reading that iNat requires not just a certain minimum number of observations but also a threshold number …

No, there shouldn’t be a certain amount of observers.

Based on my reading here, the criteria for number of observers stopped being used in the 2020 model: https://www.inaturalist.org/blog/31806-a-new-vision-model though it’s a little vague. "Lastly, in recent models, a taxon must have at least 100 verifiable observations and at least 50 with a commu…

Etiquette Of Splitting Observations of Fungal Blight

General

susanhewitt August 9, 2021, 1:41pm 7

But that used to be the case a few years ago.

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Etiquette Of Splitting Observations of Fungal Blight

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