Certainly, some photos are better than others. I try to photograph a subject in such a way that honors the specimen. I much admire my iNat colleagues for some truly excellent work. Sometimes, I just have to take a photo to document something. The lighting may be poor. The background may be plain. The animal may be dead. The subjects may be in flagrante delicto. Indeed, there is at least one iNat site dedicated to cataloging breeding behavior. There is even a Dead Mammals project. Nonetheless and despite my best efforts, I've had some outright failures by my own admission.

My dead rat is resoundingly ignored. Yet the dead racoon, deer, and pelican are immediately identified. The pelican is even adding to a birding site.

Rat - https://www.inaturalist.org/observations/60387910

Raccoon - https://www.inaturalist.org/observations/56669404

Deer - https://www.inaturalist.org/observations/52553644

Pelican - https://www.inaturalist.org/observations/61457522

Yet my brother-in-law's very clear photo of two flesh flies in the act receives profound inattention. Whereas, the much cuter Western Leaf-cutter bee photo, from a refreshing front perspective is adorable. Thank you catchang for your beautiful work. The bee's face was so cute and it antennae so jaunty that I must of looked at the picture five times before I noticed the bee beneath it.

Common Flesh Flies - https://www.inaturalist.org/observations/59191860

Cute bee photo - https://www.inaturalist.org/observations/61973069

Yes, the good, the bad, and the ugly are all here with us in life and online. All we can do is try to capture a better photo when possible, admire the excellent work of our colleagues, and pardon ourselves for posting the occasional bad photo when our impulse to document is greater than our compunction.

Soon this group will be full of people and I won't be able to do it all.
This is how to help:
Comment letting me know you want to help.
Then when I need help you can help pick the best, we will have an even number for ings we have to do ex. They are 6(six) Observations we need to pick. We will each pick 3.
Comment to let me know you want to help :)
If deside you want to help but when I need help you can't that is okay as you can stop at any time
To comment you need to use the website. On the website? Great, if not click here: https://www.inaturalist.org/projects/the-weekly/journal/43241-want-to-help

Have questions? Just comment
To comment you need to use the website, to get the website click here: https://www.inaturalist.org/projects/the-weekly/journal/43240-questions

Welcome user!
Welcome to our group!
The Weekly picks the best observations every week BUT out of the observations YOU get the pick the top one! To pick to top one all you have to do is vote!

How to vote:
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This link is to help

Tamias sciurus is commonly encountered in Jefferson City and MOFWIS (https://mdc12.mdc.mo.gov/applications/mofwis/Mofwis_Summary.aspx?id=0500014) indicates they occur in Boone County. But I've never seen one here, and we have no observations on iNaturalist for the county. I know it's a little thing, but I thought I'd reach out and see if any of you have seen them in the county. I won't try to establish this as a precedent for trying to fill in the full biodiversity information holes for the county, but this one bugs me for some unknown (and probably silly) reason.
@chert_hollow
@ericfritz
@eric930
@sarahmosteller
@ebeckett
@nlmurray
@cnaturejoy
@sjm517
@bioteachk
@rebekahh

Also, thanks to all of you for your contributions to biodiversity information in the county and beyond.

고려곤충연구소 김정환 소장님과 다녀온 네팔 곤충 이야기는 97년 과학동아 9월호에 실려있다.

https://www.inaturalist.org/calendar/taewoo/1997/7/17
https://www.inaturalist.org/calendar/taewoo/1997/7/18
https://www.inaturalist.org/calendar/taewoo/1997/7/19
https://www.inaturalist.org/calendar/taewoo/1997/7/20
https://www.inaturalist.org/calendar/taewoo/1997/7/21
https://www.inaturalist.org/calendar/taewoo/1997/7/22
https://www.inaturalist.org/calendar/taewoo/1997/7/23
https://www.inaturalist.org/calendar/taewoo/1997/7/24
https://www.inaturalist.org/calendar/taewoo/1997/7/25
https://www.inaturalist.org/calendar/taewoo/1997/7/26
https://www.inaturalist.org/calendar/taewoo/1997/7/27

1997년 7월 17일, 우리는 홍콩을 경유하여 네팔의 수도 카트만두로 떠나는 비행기에 올랐다. 객실에 오르자마자 열대 아시아 특유의 향신료 냄새가 코를 찔렀는데 비행기 안은 마치 우리의 시골 기차 칸과 비슷한 분위기여서 여기저기 짐을 잔뜩 든 사람들이 자리를 찾아 헤매는 동안 머리 속엔 이 비행기가 과연 뜰 수 있을까 하는 생각이 들었다. 그러나 이윽고 비행기의 창밖은 아래로 수많은 하얀 구름이 깔리고 성층권보다 더 높이 올라온 듯한 차가운 느낌의 저녁놀을 바라보다가 늦은 밤, 불빛이 반짝거리는 공항에 착륙하였다. 유창한 한국말로 안내를 받으며 MBC 드라마 '산' 의 촬영팀이 묶었다던 한국관으로 향했다.

7월 18일 카트만두의 아침, 고다바리 식물원, 포카라

아침 일찍 맑은 공기를 마시며 일어나 숙소의 옥상에서 카트만두시의 전경을 한 컷 촬영했다. 아기자기하면서 드넓은 하늘이 가득한 아름다운 도시였다. 오전에 왕가의 별장이었던 고다바리식물원에 도착해 곤충을 관찰했다. 커다란 나비가 곳곳에서 날고 굵은 나무줄기마다 곤충들의 허물과 작은 사건들이 발견되었다. 희고 붉은 화려한 색상의 대형 상투벌레는 머리에 툭 튀어나온 부분이 마치 우리 조상들의 상투모양처럼 특이한데 가까운 친척인 매미충과 마찬가지로 놀라게 하니 훌쩍 뛰어 날아올라 저만치 도망을 가버렸다. 그리고 낮고 약한 소리로 우는 소형의 매미 종류, 녹색날개와 빨간 눈의 매미, 가시가 돋은 대벌레가 보였다. 왕잠자리나 줄베짱이처럼 우리나라에서 보던 것과도 동일한 곤충도 있었다.

오후에는 본격적인 히말라야 탐사를 위해 차를 타고 '포카라' 로 이동했다. 중간 중간에 쉬는 틈을 타서 곤충상을 보았는데 낯익은 우리의 곤충이 발견되기도 하지만 한국에서 크기가 컸던 녀석이 여기서는 작아 보이고 작았던 녀석은 커 보이는 등 약간씩 다른 느낌이 들었다. 빛깔도 왠지 차이가 있었다. 아무래도 곤충의 먹이가 되는 이 곳의 식생이 우리와는 많이 다르기 때문일 것이다. 이국적인 나비와 잠자리들, 금속광의 딱정벌레를 보았다. 늦은 오후 도착한 포카라에는 비가 내리기 시작했는데 정확히 4시 무렵이 되면 비가 쏟아지는 이곳 날씨는 참으로 인상적이었다. 더운 낮동안 증발한 수증기가 두꺼운 구름을 만들고 오후가 되면 빗방울이 되어 다시 그대로 낙하하는 것이다. 저녁을 먹고 나서 내리는 비를 보며 쉬고 있는데 바지에 뭔가가 붙어 있었다. 장수풍뎅이의 암컷이 식당 불빛에 날아왔다가 나를 알아보고 내려앉은 것이다. 기특한 녀석!

7월 19일-23일 히말라야 탐사

이른 아침, 포카라의 유명한 호수를 구경했다. 과조차 알 수 없는 전혀 낯선 곤충들이 나를 즐겁게 하였다. 그런데 카메라 자세를 잡기 위해 풀 속에서 이리저리 움직이던 나는 일순간 고통에 찬 비명을 속으로 지르고 말았다. 어떤 종류의 풀에 팔뚝을 긁혔는데 마치 수 백만 볼트의 전기가 통하는 것 같은 극심한 고통이 밀려와 한참을 꼼짝하지 못했다. 그것은 쐐기풀의 일종으로 잎에 많은 독가시가 무시무시하게 돋아 있는 것을 미쳐 보지 못한 것이다. 나중에야 안내인이 "Very dangerous!" 라고 말해주었는데 이미 때는 늦은 후였다. 그 후로 이 풀만 보면 슬슬 그 주변을 피해 다니게 되었다. 호수 주변에는 많은 잠자리 종류가 있었고 날개가 다 찢어지도록 짝짓기 경쟁과 영역 다툼을 하는 큰 잠자리들을 목격하였다.

드디어 도착한 히말라야의 아래에서 가장 먼저 나를 맞아주는 녀석은 메뚜기들이었다. 고산지방의 메뚜기는 날개를 소실하는 경향이 많고 지역집단으로 갈라져 많은 유전적 변이를 가지는데 역시 유충처럼 보이는 것들이 전부 날개가 퇴화한 메뚜기 종류들이었다. 놀라운 보호색으로 나무껍질 표면에 완전히 위장하고 있는 여치 종류도 있었다. 색깔이 화려한 종류는 자신의 모습을 거리낌없이 드러내며 활동하는데 몸에는 분명히 독이 있을 것이다. 자신을 방어하기 위해 독성분을 품은 식물과 이를 먹기 위해 또 진화하는 곤충들, 유독식물과 유독곤충이 쉽게 발견되었다. 그 외에 바구미류, 가뢰, 꽃무지 등의 딱정벌레가 눈에 띄었으며 확실히 우리 것보다 울긋불긋 치장이 요란하다.

저 멀리 눈덮힌 산 정상이 시원하게만 보이는데 그 아래는 무척이나 더운 아열대의 날씨가 우리를 쉽게 지치게 하였다. 산길의 곳곳에 간이 숙박시설인 lodge가 있어서 틈틈이 쉴 수 있었다. 그들이 즐겨 마시는 밀크티와 더운 차를 마시며 갈증을 달랬다. 눈에 띠는 것은 코카콜라 상표들, "이 높은 곳까지도?" 하는 생각이 들었다.

7월 20일, 역시나 밤새 내리던 비는 뚝 그치고 맑은 아침 날씨가 우리를 기다려 주었다. 네팔은 아주 전형적인 산악국가로 산과 더불어 계곡이 잘 발달하였다. 더구나 우기라서 매일밤 비가 내리는데 곳곳에서 물이 흐르니 자연히 수서곤충상이 발달하였다. 낮에 해가 쨍쨍할 때에는 무척이나 다양한 종류의 잠자리들이 날아다니거나 주위에 내려앉았다. 우리 나라에도 분포하는 된장잠자리와 밀잠자리류가 많았고 날개에 점박이 무늬가 특이한 꼬마잠자리, 배가 아주 빨갛거나 파란 여러 가지 좀잠자리류가 많았다.

그런데 밀림이 우거진 지역에서 만난 곤충이 아닌 불청객, 거머리는 정말 흡혈귀로 타고난 생물이었다. 우리나라의 거머리를 떠올리면 논에서 일하다가 물 속에서 다리에 들러붙는 것으로 생각하기 쉬운데 이 곳의 거머리는 육지산이다. 산길가 주변에 늘어진 풀 아래를 보면 거기에 마치 낙하산병처럼 대기하고 있는 거머리 부대를 볼 수 있다. 지나가던 사람이던, 동물이던 간에 뭔가가 이 풀을 툭 건드리게 되면 거머리들은 잽싸게 그 대상에게로 이동하기 위해 숨은 난리를 피운다. 나는 운동화에 뭔가가 들어간 느낌이 들어서 신발을 벗어 보니 으잉? 핏자국이? 어느새 운동화로 기어들어간 거머리가 양말 위로 그 지독한 주둥이를 붙이고 피를 빨고 있었던 것이다. 거머리가 상처를 낸 곳은 피가 잘 멈추지도 않는다. 마치 질기디 질긴 생고무같아서 발로 밟아도 죽지 않는 이 흡혈귀의 공격을 그 후로도 대 여섯 번 이상 당했는데 언제나 내 몸에 주의를 기울여야 녀석들을 예방할 수 있을 것이다. 롯지에서 만난 어떤 염소의 목에서도 굵은 핏방울 자국이 있었고 통통해진 거머리는 동그란 원형이 되어 몰래 떨어져 나간다. 이곳의 야생동물은 이 흡혈귀에게 많은 희생이 있을 듯 했다.

첩첩산으로 이어진 히말라야에서 만난 이 곳 사람들은 원시적인 수단으로 생필품을 비롯한 여러 물건들을 아래에서부터 위로 지어 날랐다. 나귀 떼가 잔뜩 짐을 싣고 힘든 산행을 하거나 사람이 직접 무거운 물건을 지고 날랐다. 그러나 이들의 표정은 그렇게 삶에 쪼들린 인상을 주지 않았고 오히려 우리가 곤충을 사진에 담는 작업을 할 때에 가까이 다가와서 호기심 어린 표정으로 그들의 관심을 나타냈다. 물질문명이 인간의 삶의 질을 높였는지는 몰라도 마음속의 평온과 행복까지 가져다 줄 수는 없을 것이다. 나는 이 곳에서 힘들고 낮은 생활 수준을 보았지만 오히려 평화로운 그들의 눈매에 깊은 인상을 받게 되었다.

히말라야의 전경이 모두 보이는 롯지의 마당에서 단체 촬영을 하고 하산을 시작했다. 푸른 금속광의 부전나비와 쐐기풀나비, 나무껍질로 위장한 나무사마귀, 꽃사마귀 등등의 곤충을 뒤로 하고 다음 일정으로 향했다.

7월 24일-27일 치트완 국립공원 탐사

7월 24일 치트완 야생국립공원으로 이동했다. 우리를 환영하는 호텔의 부지배인은 나보다 2살이 많은 검은 머리의 젊고 매력적인 남자였다. 호텔에서는 밤에 관광객을 위한 쑈가 벌어졌는데 네팔 고유의 춤과 노래를 볼 수 있는 기회였다. 위의 남자 지배인이 내 기억에 남는 이유는 바로 여기서 열정적으로 춤추는 모습을 보았기 때문이다. 이 친구는 우리의 곤충탐사에도 깊은 관심을 보였으며 우리가 떠나는 날까지 친절하게 안내해 주었다. 이곳 프로그램에 따라 사파리 차를 타고 코뿔소 구경도 하고 코끼리 등에 올라타고 주변도 둘러보았다. 코끼리 모는 사람은 가다가도 연신 풀을 뜯고 딴청을 피우는 코끼리를 다루기 위해 강철로 만든 갈고리로 연신 코끼리의 머리를 내려쳤다. 그래도 녀석에게는 가려운 정도밖에 느껴지지 않는지 무척이나 말을 안 들었다. 코끼리가 지나간 초원에는 금방 신선하고 거대한 똥덩어리가 만들어지는데 그 엄청난 양은 놀라웠다. 그리고 보니 이 곳에는 소똥구리가 무척이나 많을 듯 했는데 내려서 샅샅이 조사해 보지 못해 아쉬움이 남았다. 여기저기 뚫려 있는 구멍들은 필시 녀석들의 본거지인 것만 같았다.

이 곳에서는 야간 촬영을 주로 하였다. 어리여치가 낮잠을 끝내고 나뭇잎 위에 모습을 드러냈고 대벌레류가 쉽게 발견되었는데 이들은 주로 안전한 밤중에 돌아다니며 잎을 갉아먹었다. 불빛에 조그맣고 까만 사마귀가 날아왔는데 매우 특이한 행동이 관찰되었다. 낫같은 앞다리를 서로 모아서 좌로 한번 우로 한번 접었다가 폈다가 하는데 사마귀의 이런 행동은 나에게 무척이나 흥미로왔다. 공원의 호텔 주변 가로등에는 많은 곤충이 모여들었고 커다란 철써기(Mecopoda elongata) 암컷도 관찰할 수 있었다. 그밖에 바퀴 종류가 꽤 여럿 있었는데 교미하느라 정신없는 한 쌍을 촬영하였다. 갈색 줄무늬가 있는 사슴벌레 암컷도 발견했다. 그러나 밤에는 정말 모기가 무척이나 많아서 매우 짜증스러웠다. 국립공원을 떠나던 날, 강가에서 나비가 무리지어 물을 빠는 장면을 목격했다. 나비의 군무는 마치 딴 세상에 온 것처럼 환상적이다.

7월 28일 서울로

전체적으로 네팔의 곤충상은 우리나라보다 훨씬 다양했고 비슷한 유사종들도 많이 볼 수 있어서 한반도와의 지리적인 연관성도 생각해 볼 수 있었다.

We are at 1,150 observations and 26 species. Can we get 30 species and 1,500 observations before the end of the year? Thank you to everyone who has been photographing our amazing birds of prey.

Google started with FreeBase
De soorten gaan van WikiData naar Encyclopedia of Life..en van EOL naar iNaturalist.
EOL took 291,000 common names in 279 languages from WikiData (20)
EOL haalde 91,000 locale soorten uit 279 languages van WikiData (20)
Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Google started with FreeBase

Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Mmatching iNat taxa to Wikidata items would not rely on strings, as suggested earlier in this thread, but on Wikidata’s and iNat’s IDs. Every Wikidata item has a free-form label in multiple languages. While the text label is subject to change, the numeric ID of the item (what Wikidata calls a “QID”) is persistent. E.g. item Q630829 2 represents Larus occidentalis and it has labels in 47 different languages. Each Wikidata item also contains links to the corresponding Wikipedia articles, when they exist. There are currently Wikipedia articles about Larus occidentalis in 28 language editions, from English to Navajo or Hungarian. Finally, each Wikidata item also contains links to many external databases in the Identifiers section, for example the item about Larus occidentalis links to 21 other databases, from NCBI to eBird etc.

Now, one of these identifiers is the iNaturalist Taxon ID. We created this property a while ago for the purpose of reconciling iNat taxa and Wikidata items and, as far as I can tell, it has been extensively populated in Wikidata (it’s currently used by over half a million Wikidata items 1). The first batch of iNat IDs mapped to Wikidata via Mix’n’Match got imported by a script (since the property didn’t exist at that time), but future edits made in Mix’N’Match should go live on Wikidata immediately. I don’t know how often Magnus Manske refreshes the Mix’N’Match catalog with new data dumps from iNat but we can ask him :)
So why does this all matter? Having an iNat ID—>Wikidata QID mapping means that it’s straightforward to automatically retrieve all the associated Wikipedia articles for a given iNat taxon, irrespective of spelling or variation in the title. How to best ingest these links depends on what works best for iNaturalist, but this is by far the best mechanism to have correct matches from iNat to Wikipedia instead of relying on heuristics that match labels.
Finally, I’d like to make a case for adding a Wikidata link directly in the “More info” list. There’s a lot of information about taxa in Wikidata that would be valuable to iNat users, if the link were displayed alongside GBIF, BOLD, Google Scholar and others.
https://forum.inaturalist.org/t/use-wikidata-to-link-to-appropriate-wikipedia-articles-in-all-languages/5538/16

Google started with FreeBase
De soorten gaan van WikiData naar Encyclopedia of Life..en van EOL naar iNaturalist.
EOL took 291,000 common names in 279 languages from WikiData (20)
Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Google started with FreeBase

Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Mmatching iNat taxa to Wikidata items would not rely on strings, as suggested earlier in this thread, but on Wikidata’s and iNat’s IDs. Every Wikidata item has a free-form label in multiple languages. While the text label is subject to change, the numeric ID of the item (what Wikidata calls a “QID”) is persistent. E.g. item Q630829 2 represents Larus occidentalis and it has labels in 47 different languages. Each Wikidata item also contains links to the corresponding Wikipedia articles, when they exist. There are currently Wikipedia articles about Larus occidentalis in 28 language editions, from English to Navajo or Hungarian. Finally, each Wikidata item also contains links to many external databases in the Identifiers section, for example the item about Larus occidentalis links to 21 other databases, from NCBI to eBird etc.

Now, one of these identifiers is the iNaturalist Taxon ID. We created this property a while ago for the purpose of reconciling iNat taxa and Wikidata items and, as far as I can tell, it has been extensively populated in Wikidata (it’s currently used by over half a million Wikidata items 1). The first batch of iNat IDs mapped to Wikidata via Mix’n’Match got imported by a script (since the property didn’t exist at that time), but future edits made in Mix’N’Match should go live on Wikidata immediately. I don’t know how often Magnus Manske refreshes the Mix’N’Match catalog with new data dumps from iNat but we can ask him :)
So why does this all matter? Having an iNat ID—>Wikidata QID mapping means that it’s straightforward to automatically retrieve all the associated Wikipedia articles for a given iNat taxon, irrespective of spelling or variation in the title. How to best ingest these links depends on what works best for iNaturalist, but this is by far the best mechanism to have correct matches from iNat to Wikipedia instead of relying on heuristics that match labels.
Finally, I’d like to make a case for adding a Wikidata link directly in the “More info” list. There’s a lot of information about taxa in Wikidata that would be valuable to iNat users, if the link were displayed alongside GBIF, BOLD, Google Scholar and others.
https://forum.inaturalist.org/t/use-wikidata-to-link-to-appropriate-wikipedia-articles-in-all-languages/5538/16

Before I came to Cape Town several years ago for my postdoctoral studies, little was known about Schoenus in southern Africa. In fact, the cosmopolitan Schoenus nigricans was the only known species of the genus in the region. However, Tetraria, a genus of closely related sedges, was well-documented in southern Africa.

The transfer of species from Epischoenus & Tetraria to Schoenus

My first endeavour was to split the southern African Schoenus from Tetraria and Epischoenus. Previous molecular analyses showed that the genus Tetraria consisted of species that were distantly related, and that some of these were more closely related to Schoenus species than to the other southern African Tetraria. Furthermore, almost all Epischoenus species were found to be closely related to Schoenus. Based on these new insights, Muthama Muasya and myself transferred 24 species of Epischoenus and Tetraria into an expanded Schoenus. Our work was featured in the following publication:

Taxonomic realignment in the southern African Tetraria (Cyperaceae, tribe Schoeneae; Schoenus clade): doi:10.1016/j.sajb.2017.06.011

Three extensive taxonomic revisions of the southern African Schoenus

Our work had only started. Now it was time to jump into the details!

We started by revising two of the most conspicuous of the southern African Schoenus, which are Schoenus compar and Schoenus pictus. Based on the previous analyses, we knew that these two species were closely-related. We also had fairly strong evidence that there were other similar species in this group that were fairly widespread, such as what is now Schoenus arenicola and Schoenus pseudoloreus. This first revision also included the description of three new species to science: Schoenus aureus, Schoenus megacarpus and Schoenus filiculmis. Interestingly, species in this group sometimes have a sticky substance on their stem bases or flowering heads.

A taxonomic revision of Schoenus compar - Schoenus pictus and allies (Cyperaceae, tribe Schoeneae) with three new species described from South Africa: doi:10.1016/j.sajb.2017.11.020

The next step was revising the difficult and confusing Schoenus cuspidatus group. The differences among species in this group are slight and many had been lumped as S. cuspidatus in the past. When one looks at these species in the field and examines specimens, there are slight differences between species. Moreover, it is common for species in this group to co-occur, but in slightly different microhabitats.

For the most part, many of the species in the S. cuspidatus group have a similar form of flower, but with small differences. Visible differences also exist in the bases of the plants and in the fruits.

We decided to divide this revision in two parts because of the size of the group and the difficulties in handling the taxonomy:

A taxonomic revision of Schoenus cuspidatus and allies (Cyperaceae, tribe Schoeneae)—Part 1: doi:10.1016/j.sajb.2018.11.021

A taxonomic revision of Schoenus cuspidatus and allies (Cyperaceae, tribe Schoeneae)—Part 2: doi:10.1016/j.sajb.2019.12.015

The remaining taxonomy to tackle was that of the species formerly in the genus Epischoenus. These species tend to be leafless and prefer more damp habitats compared to the other southern African Schoenus. The revision of this group included 11 species, including three new to science: Schoenus crinitus, Schoenus rigidus and Schoenus selinae.

A taxonomic revision of the Epischoenus group of Schoenus (Cyperaceae, tribe Schoeneae): 10.1016/j.sajb.2020.08.029

The papers mentioned above were all published in South African Journal of Botany.

Even more new species

After our preparation of the respective taxonomic revisions, we discovered several other species that had not yet been described. Furthermore, we transferred one species to the rank of species which had previously been a variety of Tetraria. Some of these species are closely-related to S. compar and S. pictus (Schoenus albovaginatus, Schoenus comparoides and Schoenus triticoides), while others fit in more with the S. cuspidatus group (Schoenus inconspicuus). We are still not sure which group Schoenus bracteosus fits in with, as it might be from hybrid origin.

Muthama and I published the first paper describing new species in Phytotaxa:

Three new species and a new combination among Southern African Schoenus (Cyperaceae, tribe Schoeneae): 10.11646/phytotaxa.401.4.4

We recently described a new species with the help of Doug Euston-Brown, also in Phytotaxa. Doug brought us an important specimen at a critical time and helped with the writing of the paper:

Schoenus inconspicuus (Cyperaceae, tribe Schoeneae): a new species from Southern Africa: 10.11646/phytotaxa.440.3.6

Still more new species to be described

The cabinets of the Bolus herbarium contain two new species yet to be described. Further evidence is still needed before we describe them. That being said, we would love to have new specimens of them.

I am also confident that there are several other new species out there, waiting for others (such as you) to find them. I have looked at thousands of specimens over the last several years and there are lots of things that just look odd and don't fall in with any of the previously described species.

неправильный какой-то проект.
я хотел отобрать деревья, которые старыми назвать нельзя (см old trees), но достаточно вместительные для упитанной дриады. назовем это sacred trees. а тут всякая поросль лезет. придется отбирать в ручную, хоть бы и отсюда. Непонимаю как сделан проект old trees - только наблюдения отобраные участниками, как так настроить?

Google started with FreeBase
De soorten gaan van WikiData naar Encyclopedia of Life..en van EOL naar iNaturalist.

Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Google started with FreeBase

Language Support
Language support in EOL v3 is in continuous development, but many features are internationalized. Here's where things stand at the moment:

The interface- navigating EOL in different languages:

Thanks to our collaborators at translatewiki and their corps of volunteer translators, the full EOL basic interface navigation is available in Arabic, Brazilian Portuguese, English, Finnish, French, Macedonian, Piedmontese, Traditional Chinese and Turkish. Read more about becoming a volunteer translator.

Common or vernacular names for taxa:

We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

Articles:
We have articles in many languages. The article tab has a language filter, which is set to English by default. We hope soon to make that default setting configurable in your EOL profile.

Structured data:
Our valiant translatewiki community

One of the great advantages of structured attribute and interaction data is that it is very efficient to translate. Commonly used data terms like "body length" and "predator" in our taxon page summaries are translated by the translatewiki community, and many place names have translations available from our geographic terms providers, geonames and wikidata. We have harvested the common names holdings of the wikidata, which include just over 291,000 names in 279 languages. We also have >93,000 common names in 130 languages added by valiant EOL members to fill gaps they observed over the past ten years. You can search EOL by any of these names and find them in the names tab of any taxon page.

https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#The_Netherlands
https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Gender_distribution_in_the_candidates_for_the_Dutch_general_election_2017
From Freebase to Wikidata: The Great Migration
https://static.googleusercontent.com/media/research.google.com/nl//pubs/archive/44818.pdf
https://www.eol.org/docs/what-is-eol/language-support
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf
https://www.wikidata.org/wiki/Wikidata:WikiProject_Freebase
https://www.wikidata.org/wiki/Wikidata:WikiProject_Biodiversity

iNaturalist (Q16958215) is a citizen science project focused on biodiversity. It has a large community of enthusiasts, of which some are also active in the various Wikimedia communities. This wikiproject aims at improving the cross-pollination between iNaturalist and Wikimedia communities. Wikimedia Commons is an ideal platform to source iNaturalist with observations while iNaturalist with its high-grade annotations of observations provides valuable references to Wikidata statements. "Research grade" observations are incorporated into other online databases such as Global Biodiversity Information Facility (Q1531570). iNaturalist supports many Wikimedia-compatible licensing options, including CC0 (Q6938433), Creative Commons Attribution (Q6905323) and Creative Commons Attribution-ShareAlike (Q6905942). Snippets from Wikipedia are also used on iNaturalist to describe individual taxa.
https://upload.wikimedia.org/wikipedia/commons/4/4a/Biodiversity_Next_conference_poster_on_Wikimedia_and_iNaturalist.pdf

EOL took 291,000 common names in 279 languages from WikiData
EOL took 291,000 common names in 279 languages from WikiData (20)

Mmatching iNat taxa to Wikidata items would not rely on strings, as suggested earlier in this thread, but on Wikidata’s and iNat’s IDs. Every Wikidata item has a free-form label in multiple languages. While the text label is subject to change, the numeric ID of the item (what Wikidata calls a “QID”) is persistent. E.g. item Q630829 2 represents Larus occidentalis and it has labels in 47 different languages. Each Wikidata item also contains links to the corresponding Wikipedia articles, when they exist. There are currently Wikipedia articles about Larus occidentalis in 28 language editions, from English to Navajo or Hungarian. Finally, each Wikidata item also contains links to many external databases in the Identifiers section, for example the item about Larus occidentalis links to 21 other databases, from NCBI to eBird etc.

Now, one of these identifiers is the iNaturalist Taxon ID. We created this property a while ago for the purpose of reconciling iNat taxa and Wikidata items and, as far as I can tell, it has been extensively populated in Wikidata (it’s currently used by over half a million Wikidata items 1). The first batch of iNat IDs mapped to Wikidata via Mix’n’Match got imported by a script (since the property didn’t exist at that time), but future edits made in Mix’N’Match should go live on Wikidata immediately. I don’t know how often Magnus Manske refreshes the Mix’N’Match catalog with new data dumps from iNat but we can ask him :)
So why does this all matter? Having an iNat ID—>Wikidata QID mapping means that it’s straightforward to automatically retrieve all the associated Wikipedia articles for a given iNat taxon, irrespective of spelling or variation in the title. How to best ingest these links depends on what works best for iNaturalist, but this is by far the best mechanism to have correct matches from iNat to Wikipedia instead of relying on heuristics that match labels.
Finally, I’d like to make a case for adding a Wikidata link directly in the “More info” list. There’s a lot of information about taxa in Wikidata that would be valuable to iNat users, if the link were displayed alongside GBIF, BOLD, Google Scholar and others.
https://forum.inaturalist.org/t/use-wikidata-to-link-to-appropriate-wikipedia-articles-in-all-languages/5538/16

Дорогие друзья! Dear all! Подходит к концу октябрь, и поступление новых наблюдений вновь сократилось. Эксперты, окончательно переключившись на неразобранные завалы бэклога, заметно его сократили в этот раз. Итак, на счётчике сегодня 830 000 наблюдений в проекте "Флора России"! Для очередной десятитысячной отметки нашему сообществу потребовалось ровно 6,5 дней (в прошлый раз на 10 тысяч ушло 6 дней и 4 часа). За эти семь дней число наблюдателей флоры России выросло на 88 человек, а число выявленных и подтверждённых видов выросло на 13 таксонов. We've got another milestone on the counter - 830,000 observations in the "Flora of Russia" project! For the 10-thousandth mark, our community spent 6.5 days (comparing to 6 days and 4 hours spent for previous 10K). During these days, the number of observers of the flora of Russia increased by 88 folks. We've got 13 new identified and confirmed species. За последние 7 суток всего 185 человек из 10,6 тыс. наблюдателей смогли выйти на улицу, сделать хотя бы одно наблюдение в природе и загрузить его на iNaturalist. Впрочем, даже малыми силами участники, побывавшие за неделю на природе, сделали большую работу - в этот раз доля свежих полевых наблюдений составила 21% (против 79%, поступивших из ранних архивов пользователей или вытащенных экспертами из бэклога). Over the past 7 days, 185 people have been able to go outside, make at least a single observation in nature and upload it to iNaturalist. This time, the proportion of fresh field observations was 21% versus 79% that came from early archives or pulled by the experts from the backlog. Давайте снова зафиксируем статистику для истории. 830 000 наблюдений наш проект достиг 23 октября 2020 г. в 23:31 MSK. The project reached 830,000 observations in October 23, 2020 at 23:31 MSK. Статистика проекта / Project stats: 830 106 наблюдений - 6 965 видов - 4 122 эксперта - 10 652 наблюдателя | 830,106 observations - 6,965 species - 4,122 experts - 10,652 observers Статистика антипроекта / Anti-project stats: 126 648 наблюдений - 5 121 вид - 1 514 экспертов - 7 296 наблюдателей | 126,648 observations - 5,121 species - 1,514 experts - 7,296 observers С прошлого замера проект вырос на 10,1 тыс. наблюдений, а антипроект резко сократился - сразу на 3,1 тыс. наблюдений. Это значит, что сейчас лучшее время для загрузки архивов! Почему? Посмотрите на движение данных за последние семь дней:

2 076 свежих наблюдений было залито, определено и попало в проект;
3 885 архивных наблюдений было залито, определено и попало в проект;
4 130 архивных наблюдений из антипроекта было определено и попало в проект;
491 свежее наблюдение было залито, но пока не определено и попало в антипроект;
968 архивных наблюдений было залито, но пока не определено и попало в антипроект;

До миллиона нам осталось набрать 170 000 наблюдений, т.е. загрузить 127 500 новых наблюдений (из которых 102 000 надо будет определить) и вытащить из постоянно пополняемого бэклога ещё 68 000 наблюдений. Темпами последних дней на это уйдет 111 дней, не меньше (к 11.02.2021).

1. Самые активные участники (число наблюдений) | Top-observers (number of observations)

Место | Rank	Пользователь | User	Наблюдений | Observations	Видов | Species
1	@apseregin	27224	1782
2	@dni_catipo	15901	944
3	@panasenkonn	15165	1074
4	@velibortravoved	12612	691
5	@melodi_96	10870	947
6	@katerina_kashirina	10428	1176
7	@vladimir_teplouhov	10417	501
8	@taimyr	9920	1270
9	@dryomys	9857	777
10	@a-lapin	8747	608
11	@eduard_garin	7961	831
12	@ledum	7535	1364
13	@max_сarabus	7119	561
14	@pavel_golyakov	6878	891
15	@vadim_prokhorov	6866	1109
16	@alzov	6666	725
17	@convallaria1128	6562	1477
18	@julia_shner	6288	641
19	@npz	6086	559
20	@tatyanazarubo	5785	645
21	@olga2019kuryakova	5534	541
22	@sokolkov2002	5380	720
23	@sapsan	5362	1167
24	@aleksandrebel	5228	966
25	@yurii_basov	4997	588
26	@olegdavydov	4988	405
27	@smsergey	4953	642
28	@fedor_kondrachuk	4808	498
29	@yaroslavmagazov	4584	458
30	@kildor	4355	763
31	@svetlana-bogdanovich	4337	1024
32	@svetlanakutueva	4108	498
33	@dinanesterkova	4049	676
34	@alebedev	4044	492
35	@borisbolshakov	4018	560
36	@aleks-khimin	3956	641
37	@mallaliev	3794	1222
38	@kiramarch	3756	555
39	@maxim_ismaylov	3724	379
40	@phlomis_2019	3716	1149

2. Самые активные участники (число видов) | Top-observers (number of species)

Место | Rank	Пользователь | User	Наблюдений | Observations	Видов | Species
1	@ramazan_murtazaliev	3468	1783
2	@apseregin	27224	1782
3	@convallaria1128	6562	1477
4	@vvolkotrub	3435	1379
5	@ledum	7535	1364
6	@taimyr	9920	1270
7	@mallaliev	3794	1222
8	@katerina_kashirina	10428	1176
9	@sapsan	5362	1167
10	@phlomis_2019	3716	1149
11	@svdudov	1963	1133
12	@vadim_prokhorov	6866	1109
13	@panasenkonn	15165	1074
14	@lenatara	2899	1044
15	@svetlana-bogdanovich	4337	1024
16	@aleksandrebel	5228	966
17	@melodi_96	10870	947
18	@dni_catipo	15901	944
19	@dinasafina	3452	896
20	@mihail13	1557	891
21	@pavel_golyakov	6878	891
22	@eduard_garin	7961	831
23	@ev_sklyar	2854	793
24	@dryomys	9857	777
25	@kildor	4355	763
26	@allaverkhozina	2530	755
27	@ggularijants	1374	743
28	@gen_ok	1452	740
29	@sesquicentennial	3436	736
30	@alzov	6666	725
31	@sokolkov2002	5380	720
32	@naturalist16000	2689	719
33	@birdchuvashia	2783	696
34	@velibortravoved	12612	691
35	@vladimirarkhipov	1200	684
36	@epopov	1433	679
37	@dinanesterkova	4049	676
38	@tomegatherion	2471	659
39	@ocanire	1946	651
40	@tatyanazarubo	5785	645

3. Статистика региональных проектов (наблюдения) | Regional projects' stats (observations)

Место | Rank	Проект | Project	Наблюдений | Observations
1	Флора Подмосковья | Moscow Oblast Flora	80470
2	Флора Москвы | Flora of Moscow	71989
3	Флора Брянской области | Bryansk Oblast Flora	39026
4	Флора Курской области | Kursk Oblast Flora	30333
5	Флора Тульской области | Tula Oblast Flora	29612
6	Флора Нижегородской области | Nizhny Novgorod Oblast Flora	29007
7	Флора Новосибирской области | Novosibirsk Oblast Flora	27315
8	Флора Свердловской области | Sverdlovsk Oblast Flora	22936
9	Флора Севастополя | Sevastopol Flora	22866
10	Флора Алтайского края | Altai Krai Flora	22610
11	Флора Иркутской области | Irkutsk Oblast Flora	22417
12	Флора Омской области | Omsk Oblast Flora	20656
13	Флора Крыма | Flora of the Crimea	19451
14	Флора Татарстана | Tatarstan Flora	19054
15	Флора Чувашии | Chuvash Republic Flora	19029
16	Флора Воронежской области | Voronezh Oblast Flora	18844
17	Флора Мордовии | Flora of Mordovia	17779
18	Флора Ярославской области | Yaroslavl Oblast Flora	17353
19	Флора Башкирии | Bashkortostan Flora	17164
20	Флора Владимирской области | Vladimir Oblast Flora	16066
21	Флора Камчатки | Kamchatka Flora	15096
22	Флора Костромской области | Kostroma Oblast Flora	13322
23	Флора Челябинской области | Chelyabinsk Oblast Flora	12158
24	Флора Ленинградской области | Leningrad Oblast Flora	10906
25	Флора Тверской области | Tver Oblast Flora	10625
26	Флора Краснодарского края | Krasnodar Krai Flora	10202
27	Флора Санкт-Петербурга | St Petersburg Flora	9692
28	Флора Приморского края | Primorsky Krai Flora	9258
29	Флора Самарской области | Samara Oblast Flora	9077
30	Флора Югры | Flora of Khanty-Mansi Autonomous Okrug	9002
31	Флора Красноярского края | Krasnoyarsk Krai Flora	8983
32	Флора Калининградской области | Kaliningrad Oblast Flora	8539
33	Флора Дагестана | Dagestan Flora	8304
34	Флора Калужской области | Kaluga Oblast Flora	7926
35	Флора Тюменской области | Tyumen Oblast Flora	7419
36	Флора Белгородской области | Belgorod Oblast Flora	7275
37	Флора Пермского края | Perm Krai Flora	6806
38	Флора Томской области | Tomsk Oblast Flora	5939
39	Флора Кировской области | Kirov Oblast Flora	5502
40	Флора Удмуртии | Udmurt Republic Flora	4222
41	Флора Бурятии | Buryat Republic Flora	4190
42	Флора Саратовской области | Saratov Oblast Flora	4051
43	Флора Кемеровской области | Kemerovo Oblast Flora	4012
44	Флора Республики Алтай | Altai Republic Flora	3976
45	Флора Волгоградской области | Volgograd Oblast Flora	3832
46	Флора Карелии | Flora of Karelia	3786
47	Флора Рязанской области | Ryazan Oblast Flora	3736
48	Флора Мурманской области | Murmansk Oblast Flora	3676
49	Флора Липецкой области | Lipetsk Oblast Flora	3480
50	Флора Сахалинской области | Sakhalin Oblast Flora	3238
51	Флора Ростовской области | Rostov Oblast Flora	2997
52	Флора Архангельской области | Arkhangelsk Oblast Flora	2925
53	Флора Карачаево-Черкесии | Flora of Karachay-Cherkessia	2773
54	Флора Амурской области | Amur Oblast Flora	2666
55	Флора Псковской области | Pskov Oblast Flora	2597
56	Флора Ульяновской области | Ulyanovsk Oblast Flora	2584
57	Флора Курганской области | Kurgan Oblast Flora	2511
58	Флора Ивановской области | Ivanovo Oblast Flora	2355
59	Флора Ямало-Ненецкого АО | Flora of Yamalo-Nenets Autonomous Okrug	2351
60	Флора Пензенской области | Penza Oblast Flora	2300
61	Флора Новгородской области | Novgorod Oblast Flora	2159
62	Флора Вологодской области | Vologda Oblast Flora	2041
63	Флора Марий Эл | Mari El Flora	1882
64	Флора Хакасии | Flora of Khakassia	1845
65	Флора Астраханской области | Astrakhan Oblast Flora	1582
66	Флора Ставрополья | Stavropol Krai Flora	1278
67	Флора Оренбургской области | Orenburg Oblast Flora	1234
68	Флора Адыгеи | Flora of Adygea	1154
69	Флора Тамбовской области | Tambov Oblast Flora	1153
70	Флора Забайкальского края | Zabaykalsky Krai Flora	1109
71	Флора Смоленской области | Smolensk Oblast Flora	1072
72	Флора Чукотки | Flora of Chukotka	982
73	Флора Коми | Komi Republic Flora	863
74	Флора Хабаровского края | Khabarovsk Krai Flora	680
75	Флора Орловской области | Oryol Oblast Flora	648
76	Флора Кабардино-Балкарии | Flora of Kabardino-Balkaria	559
77	Флора Якутии | Flora of Yakutia	555
78	Флора России - потеряшки | Flora of Russia - lost-and-found	304
79	Флора Тувы | Tyva Republic Flora	277
80	Флора Магаданской области | Magadan Oblast Flora	237
81	Флора Чечни | Chechen Republic Flora	184
82	Флора Северной Осетии | Flora of North Ossetia	154
83	Флора Еврейской АО | Flora of Jewish Autonomous Oblast	111
84	Флора Ненецкого АО | Flora of Nenets Autonomous Okrug	81
85	Флора Калмыкии | Flora of Kalmykia	53
86	Флора Ингушетии | Flora of Ingushetia	36

4. Статистика региональных проектов (виды) | Regional projects' stats (species)

Место | Rank	Проект | Project	Видов | Species
1	Флора Дагестана | Dagestan Flora	2009
2	Флора Крыма | Flora of the Crimea	1678
3	Флора Приморского края | Primorsky Krai Flora	1529
4	Флора Севастополя | Sevastopol Flora	1434
5	Флора Краснодарского края | Krasnodar Krai Flora	1413
6	Флора Подмосковья | Moscow Oblast Flora	1265
7	Флора Брянской области | Bryansk Oblast Flora	1247
8	Флора Алтайского края | Altai Krai Flora	1245
9	Флора Москвы | Flora of Moscow	1230
10	Флора Курской области | Kursk Oblast Flora	1229
11	Флора Свердловской области | Sverdlovsk Oblast Flora	1226
12	Флора Воронежской области | Voronezh Oblast Flora	1222
13	Флора Красноярского края | Krasnoyarsk Krai Flora	1158
14	Флора Иркутской области | Irkutsk Oblast Flora	1157
15	Флора Татарстана | Tatarstan Flora	1103
16	Флора Башкирии | Bashkortostan Flora	1065
17	Флора Нижегородской области | Nizhny Novgorod Oblast Flora	1041
18	Флора Новосибирской области | Novosibirsk Oblast Flora	1028
19	Флора Тульской области | Tula Oblast Flora	1022
20	Флора Костромской области | Kostroma Oblast Flora	934
21	Флора Владимирской области | Vladimir Oblast Flora	933
22	Флора Камчатки | Kamchatka Flora	930
23	Флора Бурятии | Buryat Republic Flora	908
24	Флора Ярославской области | Yaroslavl Oblast Flora	908
25	Флора Мордовии | Flora of Mordovia	887
26	Флора Белгородской области | Belgorod Oblast Flora	885
27	Флора Чувашии | Chuvash Republic Flora	868
28	Флора Республики Алтай | Altai Republic Flora	858
29	Флора Омской области | Omsk Oblast Flora	831
30	Флора Ростовской области | Rostov Oblast Flora	830
31	Флора Самарской области | Samara Oblast Flora	822
32	Флора Тверской области | Tver Oblast Flora	817
33	Флора Челябинской области | Chelyabinsk Oblast Flora	788
34	Флора Томской области | Tomsk Oblast Flora	786
35	Флора Амурской области | Amur Oblast Flora	783
36	Флора Сахалинской области | Sakhalin Oblast Flora	776
37	Флора Волгоградской области | Volgograd Oblast Flora	767
38	Флора Карачаево-Черкесии | Flora of Karachay-Cherkessia	759
39	Флора Пермского края | Perm Krai Flora	756
40	Флора Ленинградской области | Leningrad Oblast Flora	748
41	Флора Архангельской области | Arkhangelsk Oblast Flora	746
42	Флора Калининградской области | Kaliningrad Oblast Flora	743
43	Флора Калужской области | Kaluga Oblast Flora	739
44	Флора Кемеровской области | Kemerovo Oblast Flora	737
45	Флора Кировской области | Kirov Oblast Flora	675
46	Флора Саратовской области | Saratov Oblast Flora	662
47	Флора Тюменской области | Tyumen Oblast Flora	661
48	Флора Югры | Flora of Khanty-Mansi Autonomous Okrug	657
49	Флора Санкт-Петербурга | St Petersburg Flora	655
50	Флора Рязанской области | Ryazan Oblast Flora	623
51	Флора Пензенской области | Penza Oblast Flora	619
52	Флора Удмуртии | Udmurt Republic Flora	608
53	Флора Псковской области | Pskov Oblast Flora	605
54	Флора Липецкой области | Lipetsk Oblast Flora	586
55	Флора Ульяновской области | Ulyanovsk Oblast Flora	544
56	Флора Хакасии | Flora of Khakassia	539
57	Флора Вологодской области | Vologda Oblast Flora	513
58	Флора Марий Эл | Mari El Flora	512
59	Флора Мурманской области | Murmansk Oblast Flora	511
60	Флора Адыгеи | Flora of Adygea	501
61	Флора Новгородской области | Novgorod Oblast Flora	501
62	Флора Карелии | Flora of Karelia	495
63	Флора Ивановской области | Ivanovo Oblast Flora	485
64	Флора Ставрополья | Stavropol Krai Flora	477
65	Флора Забайкальского края | Zabaykalsky Krai Flora	465
66	Флора Курганской области | Kurgan Oblast Flora	462
67	Флора Оренбургской области | Orenburg Oblast Flora	457
68	Флора Ямало-Ненецкого АО | Flora of Yamalo-Nenets Autonomous Okrug	444
69	Флора Смоленской области | Smolensk Oblast Flora	394
70	Флора Хабаровского края | Khabarovsk Krai Flora	336
71	Флора Тамбовской области | Tambov Oblast Flora	327
72	Флора Якутии | Flora of Yakutia	319
73	Флора Коми | Komi Republic Flora	314
74	Флора Кабардино-Балкарии | Flora of Kabardino-Balkaria	307
75	Флора Чукотки | Flora of Chukotka	302
76	Флора Орловской области | Oryol Oblast Flora	281
77	Флора Астраханской области | Astrakhan Oblast Flora	280
78	Флора России - потеряшки | Flora of Russia - lost-and-found	232
79	Флора Тувы | Tyva Republic Flora	208
80	Флора Чечни | Chechen Republic Flora	146
81	Флора Северной Осетии | Flora of North Ossetia	128
82	Флора Магаданской области | Magadan Oblast Flora	122
83	Флора Еврейской АО | Flora of Jewish Autonomous Oblast	71
84	Флора Ненецкого АО | Flora of Nenets Autonomous Okrug	55
85	Флора Ингушетии | Flora of Ingushetia	33
86	Флора Калмыкии | Flora of Kalmykia	33

5. Топ-наблюдатели за 7 дней (по числу видов) | 7-days top-observers (species)

Место | Rank	Пользователь | User	Наблюдений | Observations	Видов | Species
1	@a-lapin	303	115
2	@naturalist35399	119	81
3	@taimyr	93	72
4	@svetlana-bogdanovich	90	65
5	@vladimirbakutov	77	54
6	@julia_shner	54	44
7	@yaroslavmagazov	45	41
8	@max_сarabus	65	40
9	@dryomys	44	39
10	@marina_sad	41	38
11	@npz	38	36
12	@naturalist38499	37	35
13	@svg52	53	35
14	@tanniii66	37	34
15	@daba	32	32
16	@fedor_kondrachuk	58	28
17	@natalia_trifuz	29	27
18	@nikesiberian	29	27
19	@borisbolshakov	27	26
20	@naturalist10224	33	26
21	@aleks-khimin	29	25
22	@wrrite	28	23
23	@sesquicentennial	23	20
24	@tatiana_karpenko	19	19
25	@zviruha	21	19
26	@prokhozhyj	19	18
27	@alex_iosipenko	18	17
28	@tomegatherion	20	17
29	@evgenyboginsky	20	16
30	@marina-privalova	16	16
31	@sergeydrozdov	17	16
32	@velialily	15	15
33	@ikskyrskobl	19	14
34	@naturalist12789	14	14
35	@olga_k	14	14
36	@tatyanazarubo	14	14
37	@idonaturenotonlyu	13	13
38	@olegdavydov	20	13
39	@disertinsky	12	12
40	@sergey100	12	12

6. Топ-поставщики видов за 7 дней (поле + архив) | 7-days top species uploaders (field & archives)

Место | Rank	Пользователь | User	Наблюдений | Observations	Видов | Species
1	@apseregin	580	388
2	@svetlana-bogdanovich	360	239
3	@panasenkonn	362	205
4	@dni_catipo	406	192
5	@a-lapin	303	115
6	@smsergey	148	114
7	@alzov	291	103
8	@naturalist35399	123	83
9	@julia_shner	132	80
10	@taimyr	93	72
11	@tatyanazarubo	83	71
12	@cava	80	58
13	@aleksandrebel	58	56
14	@vladimirbakutov	78	55
15	@asur	62	51
16	@salmin	66	51
17	@tomegatherion	65	48
18	@oleg_kosterin	73	47
19	@npz	56	46
20	@dinanesterkova	49	45
21	@rucfavin	103	45
22	@lenatara	46	44
23	@marina-privalova	49	43
24	@saganss_kaganov	49	43
25	@nikolay_grudanov	43	41
26	@yaroslavmagazov	45	41
27	@ivan_savinov	44	40
28	@max_сarabus	65	40
29	@dryomys	44	39
30	@kgrebennikov	55	39
31	@marina_sad	41	38
32	@dinasafina	45	37
33	@anna_efimova	36	36
34	@naturalist38499	38	36
35	@svg52	53	35
36	@naturalist10224	45	34
37	@tanniii66	37	34
38	@daba	33	33
39	@fedor_kondrachuk	58	28
40	@kildor	33	28

7. Самые активные эксперты для загруженных за 7 дней наблюдений (поле + архив) | Top-experts for the last 7 days uploads (field & archives)

Место | Rank	Пользователь | User	Определений | IDs
1	@convallaria1128	1236
2	@julia_shner	834
3	@allaverkhozina	820
4	@madmanserg	566
5	@igor_kuzmin	525
6	@davydovbotany	368
7	@phlomis_2019	259
8	@taimyr	238
9	@aleks-khimin	238
10	@prokhozhyj	202
11	@svg52	176
12	@alex_iosipenko	175
13	@natalia_gamova	161
14	@naturalist12789	149
15	@mallaliev	102
16	@subaya	78
17	@eduard_garin	68
18	@mihail13	64
19	@justcorpse	58
20	@daba	53

Напоминаем всем участникам, что мы объявили конкурс "Белые пятна" для стимулирования сбора данных по флоре отстающих регионов. Предварительное объявление о конкурсе размещено тут, положение будет опубликовано до 1 марта 2021 г. Приглашаем всех участников iNaturalist подписываться не только на проект МГУ "Флора России", но и на региональные страницы этого портала и на антипроект. В паспорте каждого наблюдения будет, таким образом, отражена как ссылка на общероссийский проект (в т.ч. ещё до того, как растение определено), так и региональная принадлежность наблюдения. Для написания данного поста использован конвертер текстовых и табличных данных, который осуществляет разметку текста. Конвертер разработал Константин Романов (@kildor). Если у вас есть свои проекты, то вам эта ссылка, уверен, пригодится!

What's great about iNat is the people. And I have to credit the great people behind the scenes who created and maintain the platform. Sure identifying fantastic stuff is fun and there are some amazing photos; but, some of the interactions are just great. You have to be pretty humble and willing to be wrong. Admit your mistakes. Thank your teachers, and keep moving forward. It's a pretty fantastic place where you can share your passion for fungi and find yourself in the company of great scientists and naturalists.

Hi Everyone,

A recent record from October 14th indicates the presence of Bombus impatiens, a non-native bumble bee used for greenhouse pollination. See observation here: https://www.inaturalist.org/observations/63274417

If you have some time and are willing to go to University Heights to check if you can find more of them, this would help in knowing if there is an established population there.

Managing invasive species is an important aspect of preserving the safety of our native bees. A lot of bee scientists and advocates for our native bees rely on records from us citizen scientists to gather field data. Your help would be greatly appreciated.

Thanks you :)

Patricia

뒷산에 올라가 관찰한 곤충 사진으로 가장 오래전에 남아있는 장면이다.

https://www.inaturalist.org/calendar/taewoo/1996/7/7

접사 카메라를 구비한 이후로 거의 매주 주말마다 가까운 산이나 공원으로 곤충을 찍으러 다녔다.

We did it everyone! Thank you to everyone who participated in CQ's first ever virtual BioBlitz! We are so impressed with how many observations that were gathered over the past 3 weeks. These observations help us document the plants and animals in Pine Valley Park. Shout out to our members with the most observations. We will be in contact with you about prizes. Congrats!

jillerbeth: 39 observations
cheeky4252: 28 observations
imhere: 27 observations

One final request: if you have time, please take our short survey so we can learn about your overall experience with the BioBlitz. This will also help us learn how we can improve for any future virtual BioBlitz.

BioBlitz Follow-Up Survey: https://www.surveymonkey.com/r/57XM6DC

On one of our first days of training in September, we all watched as a raptor flew to a perch in a tree right outside of our office. It sat there for minute, then flew off just as quickly as it landed. On a short walk this afternoon, a few of us spotted the bird again! Treading lightly this time, we were able to watch it go from perching on a light pole to eating a meal in a nearby tree (it must have caught something earlier). But what was it eating? Rat, pigeon, squirrel, a smaller bird? We scanned the area below the nest and found a few feathers, but many questions remain. We'll be sure to keep an eye out for this park resident in the coming weeks. What birds do you see around your neighborhood?

Hey guys,
Passerine migration has died down for the most part now, with the exception of some straggling flycatchers and warblers but sparrows are still moving in force. Typically Northwest Winds in Chicago are favorable for moving raptors like Northern Goshawk and Golden Eagle along with other birds like Phalaropes (Red-necked and Red), Townsend's Solitaire, Spotted and/or Green-tailed Towhees, Sage Thrasher and other western birds. Northeast winds can also be favorable for Northern Goshawk, any potential Jaegers (Pomarine, Parasitic, and even though it's pretty late, Long-tailed is still possible), and finches like White-winged and Red Crossbills, Evening Grosbeaks and Redpolls (Common and Hoary). Those are all pretty good for Chicago, and a certain someone (I'm looking at you @ieobrien) would greatly appreciate any notifications that one of these have showed up in Cook County. Even flyovers matter.

Onto other more random rarities, Starting about this week, until pretty much Thanksgiving, really odd birds tend to show up in really odd places. Whether it's a King Eider on a cemetery lawn or an Ancient Murrelet on Lake Michigan, extremely rare birds like to show up. If you can't bird far away from home, walk to your nearest little park and search the White-throated Sparrow flock for any impostors like a Golden-crowned or Harris's Sparrows. Go to the local cemetery and find the trees with berries, or find the large American Robin flock and comb it for a Townsend's Solitaire or a Varied Thrush. If you live near the lakefront or even a large inland body of water, look for lost water birds like Western, Eared or Red-necked Grebes, odd ducks like Harlequin Duck or Barrow's Goldeneye. (BAGO will be more inland, like on a large pond or lake). Go find the big Canada Goose flock and look for a Brant. Some gulls to look for that could show up on any pond, lake, river or any body of water include California, Mew, Slaty-backed, Glaucous-winged Gulls, Black-legged Kittiwakes and others. Most rare finches will likely be flyovers, so knowing the flight calls of crossbills is pretty important from now until the end of the year. November and December is also a good time to look for odd birds like orioles and other bright and colorful birds. If you keep your bird feeders up, you might get a Bullock's Oriole or a Black-headed Grosbeak. It might seem completely ridiculous to say, but yes, find the chickadees and other small birds and search for warblers from the west like Hermit or Black-throated Gray. If you find a large flock of Cedar Waxwings, search it for a Bohemian. Mountain Bluebird could be hanging out with some robins too, or it could be completely lonely sitting on a post at a prairie/grassland. All of these birds could be seen in Cook County basically from now on. It's also still not too late for a Cattle Egret either. We just need people looking!

There are some absurd sounding birds that aren't 100% impossible, but are extremely unlikely to show up include Northern Wheatear, any southern kingbirds like Tropical, Couch's or Gray. (Tropical/Couch's are pretty much only distinguished by voice, so if you see it, also try to hear it!) Any swallows you see could be Violet-green, and any swift could be a Vaux's. A Great Kiskadee showed up in NE Indiana a couple Decembers ago, so that's another large flycatcher to look out for. A Hammond's Flycatcher showed up in Central Wisconsin last winter, so that's yet another western flycatcher to look out for. Rufous Hummingbird is always one to look out for. PLEASE KEEP YOUR HUMMINGBIRD FEEDERS UP!!! Basically if you see a hummingbird in the winter coming to your feeder, it is likely a Rufous. There is the chance for an Anna's or Broad-tailed too. Ferruginous Hawk could be soaring around in the more open parts of the county, or sitting on a light pole out in the fields to the south in Cook. Great Cormorant has showed up in Ohio consistently for a few years, so there's no telling why there hasn't been one in Illinois hanging out on the various piers, breakwalls and jetties. Pacific Loon could show up on the lakefront as well as King Eider, and Ancient Murrelet.

I wouldn't go so far as to say to expect the unexpected, but go out with the mindset that you could find something unusual or super rare for the next few weeks! (Emphasis on could).

That's all for now, and I'll see ya next time,
Simon

The buffalo gourd (Cucurbita foetidissima) is in the cucumber family and related to cucumbers, squash, and pumpkins. This fall-ripening gourd has many common names including stinking gourd due to the foul odour produced by the crushed flowers. This odour along with many chemical compounds in the plant deter insects that would otherwise feast upon it. Spread across the western states, this gourd has a rich history of traditional, domestic, culinary, and medicinal uses. It can be recognized by the sprawling vine which grows in patches, fuzzy triangular leaves, yellow five pointed flowers in the summer, and green to yellow round gourds in the fall. There have been multiple iNaturalist observations of buffalo gourd in Coconino National Forest in the last month, so be on the lookout! Happy Gourd Season!

Since the beginning of quarantine I was completely isolated in my home and only went outside to walk my dog. However, I moved into the city last week and realize now more than ever how important it is to go outside and how therapeutic communing with nature can be. There is so much beauty in the world around us and it is a shame to stay indoors and not interact with and learn about nature and its vastness.
For my first few observations, I added a picture of a Monarch butterfly that I took at my home in Long Island, and a picture of beautiful flowers I saw in the middle of a largely desert area in Israel. In addition, I walked around Morningside Heights and to Riverside Park today and took pictures of some stunning flowers that I saw. Previously, I had not thought of Manhattan as a home for flowers and nature and am excited to discover aspects to the city I haven't noticed before. This project is a great opportunity to get outside, observe the world around me, and share pictures of organisms that I find.

This small brown fly, observed by @malisaspring in Ohio this July, turns out to represent a new family for iNaturalist! These are also apparently the first live photos of this family ever taken. Many thanks to Martin Hauser @phycus and Norm Woodley for their help with the identification. Distinguishing features are illustrated here.

It just goes to show that crazy new material is still turning up even in the most well-collected parts of North America on iNaturalist, and it only takes one observation!

Hello, everyone!

Within this project, the most observed species is Silene latifolia (now it is more than 18 000 observations!). It is widely distributed - Eurasia, North Africa, North America; it was even found in Argentina, Australia, and New Zealand. But this plant quite often is confused with Silene vulgaris, Silene noctiflora, or even Saponaria officinalis. Here are the easiest features to separate them.

The first thing to look at is the number of styles (parts of the pistil). Silene latifolia (https://www.inaturalist.org/observations/63225452) has 5 styles; S. vulgaris and S. noctiflora - 3 ( https://www.inaturalist.org/observations/62903348 ); Saponaria officinalis -2 (https://www.inaturalist.org/observations/61984254).
The second feature is the number of teeth, by which the fruit (capsule) is opened. Silene latifolia has 10 teeth (https://www.inaturalist.org/observations/62631469), S. vulgaris, and S. noctiflora - 6 (https://www.inaturalist.org/observations/61478292), Saponaria officinalis - 4 (https://www.inaturalist.org/observations/59782253).
The last trait for easy identifying these species are calyces. Silene latifolia has prominently 10-veined (in staminate flowers) or 20-veined (in pistillate), tubular (becoming ovate in pistillate flowers) calyces with long hairs ("male" flowers - https://www.inaturalist.org/observations/62610994, "female" - https://www.inaturalist.org/observations/62614234). Silene noctiflora has 10-veined, ovate-elliptic, narrowed to both ends calyx with anastomosing veins in the upper part and long, narrow, often recurved in fruit lobes, covered with glandular hairs (https://www.inaturalist.org/observations/63025091). Silene vulgaris has inflated glabrous calyx with reticulate venation (https://www.inaturalist.org/observations/62615878). Saponaria officinalis has long tubular glabrous (rarely with scattered trichomes) calyces (https://www.inaturalist.org/observations/62322139),
A little addition. As you may have noticed, Silene latifolia has "male" flowers with stamens only, and "female" flowers with pistil (which has 5 styles ) and without stamens.

I hope, this info will resolve confusion and help you to identify these species.
Enjoy yourself and nature!

The annual celebration for our region's most famous feline isn't cancelled, oh joy.

https://www.nbclosangeles.com/the-scene/p-22-day-will-stride-onto-our-screens-mountain-lion-fans/2448446/?amp

The annual celebration for our region's most famous feline isn't cancelled, oh joy.

https://www.nbclosangeles.com/the-scene/p-22-day-will-stride-onto-our-screens-mountain-lion-fans/2448446/?amp

Search for "CMC Bird Strikes" in projects to join. With Migrating birds passing through the region, CMC want to know how many birds die from window strikes. During the months of November and December, if you find a bird that has died near a window, please document it and mark the observation as "dead." With your help we can try to reduce the number of birds dying by window strikes moving forward.

Monday, October 19, 2020 was a day for seeing lots of tiny feathers floating on waves in the San Francisco Bay and landing in among the reeds and other detritus on the beach. Since it was a windy day and impossible to photograph these feathers in situ, I brought them home to photograph and measure them, then took them back where I found them.

There were hundreds of birds swimming on the water, including: coots, pied-billed grebes, mallards, cormorants, and others.

All of a sudden, dozens of birds took flight. There was a disturbance in the water. Then we saw a harbor seal! I've never seen one this far south in the bay. What a treat! But the birds didn't think so.

Search for "CMC Birds" in projects to join. For the months of November and December, make observations of as many birds around the Greater Cincinnati area as possible! Migrating birds will be flying south for the winter and you will probably find some amazing birds by just keeping your eyes and ears open. Share pictures or even sound clips of what you find on adventures or even in your own backyard.

50 Amazing Animal Bridges And Crossings That Save 1000s Of Animals Every Year:
https://www.boredpanda.com/bridges-for-animals-around-the-world/