(I started that. I tried. I gave up, sorry)
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Love it :)
And yes I saw a lot of trees in Burkina Faso!! (@lotteryd )
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We got two new complexes in the spiderworld today and I started sorting all those observations sitting at family a bit… however, I am still (or again) getting nauseous after a while of screen work, so I only do small bits each day at the moment… will probably not reach my goal of hitting 100.000 IDs this year
…need to divide my screentime between IDing and uploading the few observations I myself have still in the pipeline…
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I need to spend less time IDing and work on uploading my backlog
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Did about 200 IDs today. Southeast Texas plants with high level IDs mostly from 2016-2019.
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About 4300 IDs in the last month.
And yet so many more to go.
(Just needed a moment of solidarity with other identifiers.)
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Mission Impossible. August for Africa. Plants … has taken me to 102K IDs. I D. I Diana am an ID addict.
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I rarely look at the numbers, but if I do I look at https://www.inaturalist.org/observations?place_id=any&subview=map&view=identifiers for world. After a Fungi rampage I was at 42, which is a good literary reference to remember. Post-fungi has been all MI Africa. Now it says 33. Woo! Catch me if you can! ;)
This really takes me back to having a “cell marathon” at eyewire.org, where citizen scientists “compete” for fun, and as a result generate high quality publishable research results. Win-win situation by the end. :)
From what I can guess, a number of the high volume coarsely/unlabeled plant sets are coming from researchers in the field, maybe some on their way to earning degrees. I’m happy to help them out as a sort of untutored assistant!
Edit: Which reminds me, if these folks come back to their data here (rather than processing in the lab from just downloading all the coarse records, or whatever), they’ll need “onboarding”. The wiki tutorial for that is still on my to-do list… Later, I’m vacationing in Africa right now. :)
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For me is already Friday!
But I don’t have much time as ironically I have to actually ID my samples, the last days I’ve tried to go back on unknown from my country and go through the Marine Life project obs from South America. A lot to ID out there
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Ranking continental US and Canada for number of needs ID
per square km
- District of Columbia
- Massachusetts
- New Jersey
- Maryland
- Connecticut
- Delaware
- Rhode Island
- Vermont
- California
- New Hampshire
- Virginia
- New York
- Ohio
- North Carolina
- Pennsylvania
Total Needs ID
- California
- Texas
- Ontario
- New York
- British Columbia
- North Carolina
- Virginia
- Florida
- Ohio
- Pennsylvania
- Massachusetts
- Maryland
- Washington
- Illinois
- Oregon
% of verifiable obs
- Wyoming
- Iowa
- Utah
- Indiana
- Idaho
- North Carolina
- Tennessee
- Georgia
- Colorado
- Massachusetts
- Connecticut
- Michigan
- Missouri
- Nebraska
- Montana
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Massachusetts is second per square km?!? Oh, dear. I live in Massachusetts and try very hard to make lots of IDs in Massachusetts and New England as a whole. Guess I better stop sleeping!
(Actually, I bet it’s that high because LOTS of people make iNat observations here, which is a good thing.)
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Massachusetts is 44% needs ID (others range 48-27%)
I’m going to start working on North Carolina
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I see Wyoming at the top of the % Needs ID list.
I have been keeping tabs on the Greater Yellowstone Ecosystem, and new plant observations are slowing down. Unknowns are in check. All posts with missing dates have a notification/educational comment.
I have a backlog of 166 pages of plants from this season to review. I will probably be able to improve <5% at this point because I occasionally filter for the ones I know best. Then onto the statewide unknowns for Wyoming, Montana, and Idaho. After that learning more to ID more???
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OK, I feel somewhat better now, but I still want to bring that percentage down to, say, 43%. I’m being realistic here because I know how much work this will take. At least I know something about the biodiversity in Massachusetts; I bet I couldn’t help all that much in North Carolina.
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North Carolina is big but it can be split into three regions, which are available as places on iNat so you can narrow your focus a little bit. The biggest of the three is NC Piedmont with over half of the observations in the state (56%) and a good amount of unknowns in the state (62%). I find a lot of plants in there that look planted. I mostly check the NC mountains, which is the second largest by observations (29%) and unknowns (24%). Smallest area is the NC coastal plain with 15% of the observations and 14% of the unknowns in the state. I admit while I spread out into the Piedmont every now and then, I rarely tackle the coastal plain because it has a lot of beach-associated observations that I can’t ID.
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I chose North Carolina since among the per sq km list the plants there are most like where I usually ID (southeast Texas and Louisiana). Also it shows up on all 3 lists.
@annkatrinrose thanks for letting me know about the regions. Of those, I know the most about the coastal plain. So far I’ve been searching for species I know very well that don’t have any look-alikes. With those I can move a large number to RG pretty quickly. And also finding a few that are incorrectly IDed. I’ll check out high level IDed plants on the coastal plain later.
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I managed to clean out the pisaurids in Europe today, which had been piling up 20 pages again over the time I did ID less.
I also did some quickfire rounds just for fun: setting the filter to spiders maximally IDed to suborder, leave the location blanc and just do the ones that come easy to me, lifting them to family or genus, not bothering too much with whether I could actually provide a finer ID unless they are really super easy. Those are fun and take me all around the world
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I did some Lichen vs Plant today. Lots of confusion of lichens with liverworts or mosses. Only saw one hornwort vs lichen.
This is the URL I use: https://www.inaturalist.org/observations/identify?iconic_taxa=unknown&order_by=updated_at&ident_taxon_id=311249%2C56327%2C64615&without_taxon_id=311249%2C56327%2C64615&place_id=any
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I get confused a lot, so I’ll have to go through that for practice sometime!
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I’m trying my best!
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