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Walk in Weston, CT

I decided to complete the Fall semester at home following Thanksgiving break. I took my 4-year-old sister for a walk on a cool, clear-skied 54-degree afternoon. Living in the suburbs, we are surrounded by a lot of trees, reservoirs, and forest areas. We walked around our neighborhood and through the woods. We saw birds (that were difficult to capture on camera), bushes, leaves, moss, trees, and plants. There were a lot of ferns around as well as moss and lichen covering a lot of trees and rocks. The walk was a short relaxing break from school work to spend some time with family and enjoy the fresh air.

Posted on December 05, 2020 02:33 by gardnesq gardnesq | 8 observations | 0 comments | Leave a comment
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December Update

Hello! Our new mantra - I hope you are healthy and doing what you can to stay safe. CoVid is on an unfortunate tear through our lives, impacting everything.

Our Dragonfly season is nearly done - if not complete already (I'm missing them already). To that end, please have your 2020 (or earlier) observations submitted as soon as possible. I will be exporting data and going through my load process for a new version of the Ohio Odonata database.

There is a new Ohio Odonata Society (OOS) newsletter (December 2020). You may or may not be aware of the OOS - a group of Dragonfly enthusiasts that typically has an annual meeting and generally supports Odonata activities in the state. If you didn't get the newsletter, and think you should have, please let me know. Also, if you're not an OOS member but would like to see the newest newsletter, send your name and email address to jlem@woh.rr.com - or message me through iNat at jimlem.

best regards - Jim

Posted on December 04, 2020 23:52 by jimlem jimlem | 0 comments | Leave a comment
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Paucity of observations

I haven't been posting many observations this fall. There's not much worth observing, at least not in the plant world. Most species of fall-flowering plants have taken the year off, having received so little rain. The drought has also cut down on the numbers of other organisms. The McDowell Sonoran Conservancy's fall butterfly count was substantially lower this year than last. But in pursuit of observations for this desert mistletoe quick-quest, I photographed some drought-stressed individuals, and even found a flower. I also documented something I've been witnessing out my window, as the desert cottontails are resorting to nibbling the bark of palo verde trees to get them through the drought.

Posted on December 04, 2020 23:24 by stevejones stevejones | 16 observations | 1 comment | Leave a comment
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2,000 Butterflies Counted So Far, Western Monarch Takes an Astonishing Step Closer to Extinction.

Two years ago, when volunteers counted only 27,212 monarch butterflies in the Xerces Society’s annual Western Monarch Thanksgiving Count, it meant the butterflies had crossed a threshold identified by scientists as the point past which western migratory monarchs were likely to become extinct.

https://baynature.org/2020/12/04/with-fewer-than-2000-butterflies-counted-western-monarch-takes-an-astonishing-step-closer-to-extinction/

Posted on December 04, 2020 23:14 by biohexx1 biohexx1 | 1 comment | Leave a comment
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Great work!

Wow everyone!

Congratulations on taking so many wonderful photos this week. It's been great to see the broad range of species you've found so far.

We can't wait to see the discoveries you make over the weekend. We hope you're enjoying exploring Victoria's beautiful parks!

The Parks Victoria Volunteer Team

Posted on December 04, 2020 20:56 by parksvictoria parksvictoria
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Wow 978 observations and counting!

Can you believe we have 978 observations and 372 species so far within the boundaries of the Manly War Memorial State Park.

Jump into the project as there are some amazing photos.
twan3253’s Eastern Water Dragon (Intellagama lesuerii lesueurii)
https://inaturalist.ala.org.au/observations/64214386

And Laurie_Wilson’s magnificent Diamond Python (Morelia spilota spilota).
https://static.inaturalist.org/photos/105463092/large.jpg?1606195659

Don’t forget to look down whilst walking as the terrestrial orchids are popping up;
Gillbsydney’s Bonnet Orchid (Cryptostylis erects)
https://static.inaturalist.org/photos/103425240/large.jpeg?1604723282

Let’s see if we can see out 2020 with 1000 observations!

Posted on December 04, 2020 20:52 by vicky_viking vicky_viking | 0 comments | Leave a comment
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Vote for the jockes(week 1)

Vote you jockes in the comments!
To view the jockes go to https://www.inaturalist.org/projects/nature-joke-contest
To comment you need to use the website. On the website? Great, if not click this link: https://www.inaturalist.org/projects/nature-joke-contest/journal/44516-vote-for-the-jockes-week-1

Posted on December 04, 2020 20:09 by myles678 myles678 | 0 comments | Leave a comment
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8,057 unidentified observations in Illinois in 2020

As of 4 Dec. at 1:48PM, there are 8,057* observations made in Illinois in 2020 that have no label at all!

Link to help identify: https://www.inaturalist.org/observations/identify?iconic_taxa=unknown&order_by=random&place_id=35&year=2020

Ways to help with the backlog:

  • Add an ID; even if a "coarse" one like kingdom or family - it can help bring it to the attention of identifiers of these groups
  • Mark as captive/cultivated if appropriate (keyboard shortcut on the Identify page is x
  • Use the Frequently Used Responses for issues that commonly pop up

View a quick tutorial on how to efficiently use the Identify page here.

Happy IDing!

*And that's just Needs ID obs! There are even more casual obs, e.g. of cultivated plants, which are outside the scope of this project. Interested in IDing those? Here's a link.

Posted on December 04, 2020 19:50 by bouteloua bouteloua | 0 comments | Leave a comment
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Maps about the potential distribution of the giant resin bee Megachile sculpturalis in the world

A spanish study with some intresting maps about the possible distrubtion of Megachile sculpturalis in the World. Specially in the northern hemisphere.

https://www.sciencedirect.com/science/article/pii/S2351989420309069

Posted on December 04, 2020 18:31 by frank007 frank007 | 1 comment | Leave a comment
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Ladybugs Defense

As a defense mechanism ladybugs produce a foul smelling hemolymph that seeps from their leg joins and leaves a yellow stain. Ladybug larvae can ooze alkaloids from their abdomens. Their coloration is a signal to their toxicity to potential predators. Many insect eating birds and animals avoid eating things in black and red colors.

Posted on December 04, 2020 16:35 by kamraj73 kamraj73 | 0 comments | Leave a comment
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Observation Nation Winners September and October / Concours des BioObservateurs : gagnants pour septembre et octobre

Season’s greetings CWF Observation Nation members!

Thank you so much for all of you who joined our CWF Observation Nation project. An additional thanks and congratulation to all those who participated in our contest and achieved observation milestones of 300, 750 and 1,000. Your prizes will be on their way soon. If you haven’t received a prize waiver, email davidd@cwf-fcf.org. A special congratulations to our monthly prize draw winners for September and October:

September Winners: Paul Pratt – observer / Michael Newell – identifier

October Winners: Jason Headley – observer / Caleb Catto – identifier

Our contest closed on October 31st, 2020, but it doesn’t end there. We’ll have more initiatives designed to inspire your use of iNaturalist coming in 2021, including the City Nature Challenge event in late April (find details at CityNatureChallenge.org). Your continued observations are extremely valuable to biodiversity tracking and wildlife conservation in Canada. Thank you again for being a part of CWF’s Observation Nation. From all of us here at the Canadian Wildlife Federation, we wish you a happy holiday season!
    
Joyeuses Fêtes, chers BioObservateurs de la FCF!

Merci d’être membre des BioObservateurs, et félicitations à tous ceux qui ont participé au concours et atteint les étapes des 300, 750 et 1000 observations! Vous recevrez vos prix bientôt. Si vous n’avez pas encore reçu le formulaire pour réclamer votre prix, veuillez écrire à davidd@cwf-fcf.org. Nous souhaitons également féliciter les gagnants des tirages de septembre et octobre :

Gagnants de septembre : Paul Pratt – observateur / Michael Newell – identificateur

Gagnants d’octobre : Jason Headley – observateur / Caleb Catto – identificateur

Notre concours s’est terminé le 31 octobre, mais ce n’est pas fini! Nous aurons de nouvelles initiatives en 2021, dont le Défi nature urbaine à la fin avril (détails au CityNatureChallenge.org, en anglais). Plus vous ajouter d’observations, plus elles permettent de surveiller la biodiversité au Canada et de conserver la faune et la flore. Merci encore de faire partie des BioObservateurs de la FCF. De la part de tout le personnel ici à la Fédération canadienne de la faune, nous vous souhaitons un très joyeux temps des Fêtes!

Posted on December 04, 2020 16:32 by cwf_cbrant cwf_cbrant | 0 comments | Leave a comment
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What Ladybugs Eat

Lady bugs feed on soft-bodied insects. Some insects ladybugs love to eat scale insects, whiteflies, mites, and aphids. A hungry adult ladybug can eat 50 aphids per day. It's estimated they eat 5,000 aphids over their lifetime.

Posted on December 04, 2020 16:32 by kamraj73 kamraj73 | 0 comments | Leave a comment
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Ladybugs Life Cycle

A ladybugs lifecycle begins when a batch of bright yellow les are laid on a branch that is near a food source. They hatch into larvae in about four to ten days. They spend around three weeks feeding. Once they have ate enough they will build a pupa. A pupa is an insect in its inactive immature form between larva and adult. Within seven to ten days they will become adults and live for approximately one year.

Posted on December 04, 2020 16:29 by kamraj73 kamraj73 | 0 comments | Leave a comment
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Ladybugs Colors

Ladybugs are most often red or yellow with black spots. Nearly every color of the rainbow is found in some species of ladybug. Some can be as plain as black and white. Some ladybugs are exotic as dark blue and orange. Some species are spotted whereas some have stripes or checkers. Their color patterns are connected to the area which they live.

Posted on December 04, 2020 16:27 by kamraj73 kamraj73 | 0 comments | Leave a comment
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Ladybugs vs. Asian Beetles

Ladybugs have no M shape of white on their black head. They are harmless, control garden pests, live outdoors, and are good for the environment.

Asian Lady Beetles have an M shape of white on their black head. They are aggressive and sometimes bite. They are harmful to dogs, invade homes, and leave behind an odor and yellow fluid.

Posted on December 04, 2020 16:22 by kamraj73 kamraj73 | 0 comments | Leave a comment
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Join us tonight (7 pm-8 pm PST) for free online talk by marine biologist, Jim Carlton!

Please join us for our first free online Lakeside Chat program this Fri 7-8 pm by zoom. Marine biologist Jim Carlton is going to talk about an enigmatic little invertebrate that is found only at the lake and was key to his figuring out marine invasions via ballast water. He'll also talk about his pathway to becoming a scientist. We are opening the room with "warm-up" activities at 6:45 pm to bring in and hopefully engage a wide audience including families. (Jim is an Oakland High graduate!)
Please register via eventbrite, so that you can receive the Zoom link.

Title: An Unsolved Mystery: The Enigmatic Beach-Hopper of Lake Merritt
Fri, Dec 4, 2020 7:00 PM-8:00 PM 30 min talk + Q&A by Zoom
Event URL:https://lakemerritt-mystery_drjimcarlton.eventbrite.com

Best wishes,
Katie Noonan
Rotary Nature Center Friends

Posted on December 04, 2020 13:43 by ktnoon ktnoon | 0 comments | Leave a comment
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Join us tonight for free onine zoom talk by marine biologist, Jim Carlton!

Please join us for our first free online Lakeside Chat program this Fri 7-8 pm by zoom. Marine biologist Jim Carlton is going to talk about an enigmatic little invertebrate that is found only at the lake and was key to his figuring out marine invasions via ballast water. He'll also talk about his pathway to becoming a scientist. We are opening the room with "warm-up" activities at 6:45 pm to bring in and hopefully engage a wide audience including families. (Jim is an Oakland High graduate!)
Please register via eventbrite, tso that you can receive the Zoom link.

Title: An Unsolved Mystery: The Enigmatic Beach-Hopper of Lake Merritt
Fri, Dec 4, 2020 7:00 PM-8:00 PM 30 min talk + Q&A by Zoom
Event URL:https://lakemerritt-mystery_drjimcarlton.eventbrite.com

Best wishes,
Katie Noonan
Rotary Nature Center Friends

Posted on December 04, 2020 13:41 by ktnoon ktnoon | 0 comments | Leave a comment
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Pl@ntNet vs. iNaturalist

Дорогие друзья!

Вчера и сегодня я провёл некоторое время в изучении веб-версии базы данных Pl@ntNet, которая является основным конкурентом iNaturalist в категории "Приложения для автоматического распознавания растений", а с недавнего времени в категории "Публикация данных в GBIF".

Dear friends!

Yesterday and today I spent some time exploring the web version of the Pl@ntNet database, which is the main competitor to iNaturalist in the automated plant recognition apps and more recently as active GBIF publisher. English translation is given below.

Необходимость такого изучения была связана с тем, что Pl@ntNet обновил свои массивы в GBIF:

В этих двух массивах значится 63 132 записи с основной территории России (https://www.gbif.org/occurrence/search?country=RU&publishing_org=da86174a-a605-43a4-a5e8-53d484152cd3) плюс 2 640 записи по Крыму (https://www.gbif.org/occurrence/search?publishing_org=da86174a-a605-43a4-a5e8-53d484152cd3&gadm_gid=UKR.20_1&gadm_gid=UKR.4_1)

Соответственно, я знакомился с их базой вот через эту (единственную) точку входа: https://identify.plantnet.org/ . Общее впечатление: массив большой, перспективный, но работать с ним (пока?) совершенно невозможно. Людей, которые сандалят свои данные на Pl@ntNet откровенно жалко, поскольку это совершенно односторонний процесс: положить можно, взять оттуда что-то нельзя. Впрочем, большинство пользователей Pl@ntNet используют его исключительно как автоматический определитель, даже не зная о том, что их данные куда-то идут и с ними что-то можно делать.

Теперь по частностям (которых оооочень много). Постараюсь быть объективным, хотя эта объективная реальность однозначно на стороне iNaturalist. Советую любопытствующим зарегистрироваться на Pl@ntNet и попытаться сымитировать свою деятельность на iNaturalist в новой среде. Это примерно то, чем я занимался. Наблюдения и короткие заметки даны ниже. Это даже не сравнение двух систем, а рассказ о PlantNet для тех, кто знаком с iNaturalist.

0) В Pl@ntNet только сосудистые растения. Кто из нас хотя бы раз не фотографировал гриб или бабочку? Туда вы их не загрузите. А в iNaturalist любым живым организмам будут только рады.

1) Проекты. Можно создавать, но только обратившись в головной офис Pl@ntNet. Проектов мало: 6 общих и 19 географических. Только что они начали развивать микропроекты: их 8 штук. Список тут: https://identify.plantnet.org/ . Общие и географические имеют организации-партнёры.

2) Нет общей точки входа в общую базу (аналога нашего https://www.inaturalist.org/observations). Кнопка "Explore" есть в панельках проектов. При этом непонятно, как соотносятся проекты между собой: в проекте World Flora, который должен включать всё, значится 4,258,944 изображений. Но в GBIF 10,429,008 записей. Догадки ниже.

3) В "наблюдении" (пример - https://identify.plantnet.org/the-plant-list/observations/1006029539, то же самое в GBIF - https://www.gbif.org/occurrence/2974487841) в самой базе Pl@ntNet вся география скрыта, но доступна через GBIF, если наблюдение туда попало. Насколько загрублено это местонахождение при этом - не ясно. Например, на видовых картах (например, https://identify.plantnet.org/the-plant-list/species/Asphodeline%20lutea%20(L.)%20Rchb./data) точки закартированы с точностью 1 км - об этом предупреждает дисклеймер.

4) В целом наблюдение на Pl@ntNet содержит очень мало информации: фото, название, функцию анонимного определения, грубую оценку качества (за/против), автора, дату. Есть закладка с обсуждением находки. Всё.

5) Веб-версия Pl@ntNet доступна на трёх языках: английский, китайский, французский. Базы русских названий растений, естественно, тоже нет.

6) Чтобы что-то поопределять, надо выбрать вид, пролистать до мозаики из фоток и листать их, переходя по необходимости из листалки фотографий в наблюдение, в котором и вписывается правильное название. При этом, напомню, никаких географических фильтров.

7) Культурные и дикие растения перемешаны. Отделить одно от другого руками нельзя. Непривычно и кажется анахронизмом.

8) Датасеты в GBIF состоят из двух штук: https://www.gbif.org/dataset/7a3679ef-5582-4aaa-81f0-8c2545cafc81 (794 тыс. наблюдений, идут из базы, имеют индекс "o-" в ID) и https://www.gbif.org/dataset/14d5676a-2c54-4f94-9023-1e8dcd822aa0 (9,6 млн наблюдений, их в базе нет - это запросы на определение от юзеров, которые не сохраняют потом картинку в базу, но машина им определяет растение с вероятностью 90% и выше, имеют индекс "q-" в ID). Самое тёмное в этой истории - хранит ли Pl@ntNet в принципе фотографии таких эфемерных запросов (летом их число за всё время существования оценивалось в 150 млн штук) или только короткий лог. В любом случае, проверить правильность определения наблюдений второго датасета нельзя - картинок для них нет ни в GBIF, ни в Pl@ntNet.

9) Боевая проверка надежности данных. Взял подряд из GBIF 48 наблюдений флоры Краснодарского края из первого датасета Pl@ntNet (из 173, которые числятся в категории "верифицированных вручную"). Неверно определено: 13 штук (27%). Пыльцеголовник под видом ландыша, зеленчук кавказский в качестве мелиссы, клевер ползучий под видом гибридного, гулявник Лезеля в качестве свербиги и т.д. Сугубо культурные: 12 штук (25%). Тюльпаны, сортовые ирисы, айва, ландыши с грядок. Зайти внутрь базы и отметить культурные нельзя. Просто нет такой функции. Таксономия: в попытке переопределить не смог даже среди синонимов найти Erythronium caucasicum и Rubus hirtus. Там вообще один принятый Erythronium. Зато я дернул из их базы Galeobdolon caucasicum.

10) В таксономии есть таксономические авторы. С научной точки зрения это абсолютно правильно. То, чего не хватает для солидности на iNaturalist.

11) Ещё из однозначных плюсов Pl@ntNet: при работе движка ИИ указана в процентах вероятность определения. Попробовал на хорошо снятой адоксе Adoxa moschatellina (https://identify.plantnet.org/the-plant-list/observations/1003554108 ): вероятность 99,79%, другие варианты не предложены. На iNaturalist, как вы знаете, будет написано без процентов: "Это скорее всего род Adoxa". Потом первым вариантом Adoxa moschatellina. А потом обязательно в довесок еще 7 приблудных видов. На Pl@ntNet предлагается в неясных случаях десять видов (с процентами), потом можно посмотреть следующие 10 и т.д. Этот момент однозначно лучше проработан на Pl@ntNet. Хотя история с предложением рода, семейства или трибы на iNaturalist является очень сильной фишкой для неизвестных для ИИ видов.

12) Только 4 фотографии на одно наблюдение - не больше. Таково ограничение Pl@ntNet. Это скорее минус. Обязательно нужно указать, какая это запчасть (орган или общий вид).

13) Откопал рекомендации по съемке для Pl@ntNet: формально требования к качеству высокие (но пролистывая базу понял, что им не всегда следуют). Вот официальная инструкция-инфографика с блюющими смайликами: https://plantnet.org/wp-content/uploads/2017/08/bonne_photoen@0.5x.png . Крайне спорно. Особенно постулат: "This is not a plant, this is hand holding a plant" [это не растение, это рука, которая держит растение]. Сколько я сэкономил времени и сил, снимая колоски злаков и осок, зажимая их между пальцами!

14) Вернёмся к пункту 2. Как считают число фоток в проекте? Не поверете: по-видимому, складывают фотографии всех видов из базового чеклиста проекта (например, все фото со всего мира всех видов, которые отмечены в США). Получается, что в коморском проекте 426.5 тыс. фоток 698 видов. А на деле... 22 фотографии в GBIF (https://www.gbif.org/occurrence/search?country=KM&dataset_key=7a3679ef-5582-4aaa-81f0-8c2545cafc81).

15) Нет журналов проектов и участников, нет форума, нет разнообразной статистики, нет csv-выгрузок, нет загрузки шейп-файлов, нет календаря, нет профиля, нет уведомления и панели мониторинга, нет возможности для массовых загрузок, нет биоблицев.

В общем, в заключение так и хочется сказать: товарищи, если у вас кто-то из друзей и знакомых пользуется Pl@ntNet, их нужно срочно и любыми способами в этом разубедить. Эти люди могут принести гораздо больше пользы науке с помощью iNaturalist. Еще пару лет назад Pl@ntNet гораздо лучше определял растений России, поскольку "рос" из Франции. Сейчас iNaturalist в среднем сравнялся по качеству автоматических определений, а для России из-за заметного роста базы и использования географических подсказок (в Pl@ntNet их нет) делает их уже гораздо увереннее.

Возможно, в этом посте буду что-то дописывать. Ссылкой на эту запись можно делиться, чтобы переубедить сомневающихся.


The need for my short study was due to the fact that Pl@ntNet updated its datasets in GBIF:

Two datasets contain 63,132 records from the mainland Russia (https://www.gbif.org/occurrence/search?country=RU&publishing_org=da86174a-a605-43a4-a5e8-53d484152cd3) and 2,640 records from the Crimea (https: //www.gbif.org/occurrence/search?publishing_org=da86174a-a605-43a4-a5e8-53d484152cd3&gadm_gid=UKR.20_1&gadm_gid=UKR.4_1)

Accordingly, I got acquainted with their database through this (single) entry point: https://identify.plantnet.org/. General impression: the Pl@ntNet is large, very promising, but it is absolutely impossible to work with it (yet?). It is a pity for people who upload their data to Pl@ntNet, because this is a completely one-sided process: you can put something, but you can't take something from there. However, most Pl@ntNet users use it exclusively as an automatic identifier, not even knowing that their data is going somewhere and something can be done with it.

Now, some particular issues (of which there are sooooo many). I will try to be objective, although this objective reality is definitely on the side of iNaturalist. I advise the curious ones to register on Pl@ntNet and try to simulate their activities on iNaturalist in a new environment. This is roughly what I was doing. Observations and short notes are given below.

1) Projects. You can create them, but only by contacting the Pl@ntNet head office. There are few projects - 6 general and 19 geographic. They have just started developing micro-projects, there are eight of them. The list is here: https://identify.plantnet.org/. General and geographic projects have partner organizations.

2) There is no single entry point to the whole database (something like https://www.inaturalist.org/observations). The "Explore" buttons are situated in the project panels. At the same time, it is unclear how the projects relate to each other: in the "World Flora" project, which should include everything, there are 4,258,944 images. But there are 10,429,008 entries in GBIF. My guesses are below.

3) In "observation" (example - https://identify.plantnet.org/the-plant-list/observations/1006029539, same in GBIF - https://www.gbif.org/occurrence/2974487841) within the Pl@ntNet database, locality and even administrative unit is hidden, but accessible through GBIF, if observation is there. It is unclear how coarse this location is. For example, on view maps (for example, https://identify.plantnet.org/the-plant-list/species/Asphodeline%20lutea%20(L.)%20Rchb./data) points are mapped with an accuracy of 1 km with a warning disclaimer.

4) In general, an observation on Pl@ntNet contains very little information: photo, species name, function of anonymous identification, rough quality assessment (for / against), author, date. There is a tab with a discussion of the record. That's all.

5) Pl@ntNet web version is available in three languages: English, Chinese, French. There is no database of national (e.g. Russian) vernacular plant names.

6) In order to define something, you need to choose a species, scroll to a mosaic of photos and flip through them, moving, if necessary, from a photo leaflet to an observation, where you can enter the correct name. At the same time, let me remind you, there are no geographic filters.

7) Cultivated and wild plants are mixed. You cannot separate one from the other manually. Seems anachronistic.

8) Datasets of Pl@ntNet in GBIF consist of two parts: https://www.gbif.org/dataset/7a3679ef-5582-4aaa-81f0-8c2545cafc81 (794K observations from the database, have an "o-" index in the identifier) and https://www.gbif.org/dataset/14d5676a-2c54-4f94-9023-1e8dcd822aa0 (9.6M observations, they are not in the database - these are ephemeral enquiries for automatic identification from users who do not save the image to the database later, but the machine identifies a plant with a confidence of 90% and higher, they have an index "q-" in the identifier). The darkest thing in this story is whether Pl@ntNet stores, in principle, photographs of such ephemeral queries (in the summer, their number was estimated at 150M throughout its existence) or only a short log. In any case, it is impossible to check the correctness of determining the observations of the second dataset - there are no pictures for them either in GBIF or in Pl@ntNet.

9) Data reliability check. I took 48 observations of the flora of Krasnodar Krai (Black Sea coast, Russia) from GBIF in a row from the first Pl@ntNet dataset (out of 173 observations, which are listed as "manually verified"). Incorrectly identified: 13 observations (27%). Surely cultivated: 12 observations (25%). You cannot go inside the base and mark cultural ones. There is simply no such function. Taxonomy: in an attempt to make a correct identification, I could not find Erythronium caucasicum and Rubus hirtus even among synonyms. There is generally one accepted Erythronium. But I pulled Galeobdolon caucasicum from their database.

10) There are taxonomic authors in taxonomy. This is absolutely correct. That is what we are missing on iNaturalist!

11) Another unambiguous advantage of Pl@ntNet: when the AI ​​engine is running, the confidence is indicated as a percentage. I tried it on a well-filmed adoxa moschatellina (https://identify.plantnet.org/the-plant-list/observations/1003554108 ): 99.79% confidence, no other options suggested. iNaturalist, as you know, will show you: "We are almost sure that this belongs to the genus Adoxa" and Adoxa moschatellina as a top-species superseded by seven more stray species. On Pl@ntNet, in unclear cases, ten species are offered (with confidence percentages), then you can see the next ten, etc. This point is definitely better outworked on Pl@ntNet. Although the story with the suggestion of a genus, family or tribe on iNaturalist is a very strong feature for species unknown to AI.

12) Only 4 photos per observation are possible on Pl@ntNet - no more. This is rather a minus. It is imperative to indicate which part it is (organ or general view).

13) I dug up the shooting recommendations for Pl@ntNet: formally, the quality requirements are high (but scrolling through the base I realized that they are not always followed). Here is the official infographic instruction with puking emoticons: https://plantnet.org/wp-content/uploads/2017/08/bonne_photoen@0.5x.png. Extremely controversial. Especially the postulate: "This is not a plant, this is a hand holding a plant". How much time and effort I saved by photographing spikelets of grasses and sedges, pinching them between my fingers!

14) Let's go back to point 2. How is the number of photos in the project counted? Apparently, they add photographs of all species from the basic checklist of the project (for example, all photographs from all over the world of all species listed for the USA). It turns out that there are 426.5K photos of 698 species in the Comoros project. But in fact... just 22 photos in GBIF (https://www.gbif.org/occurrence/search?country=KM&dataset_key=7a3679ef-5582-4aaa-81f0-8c2545cafc81 ).

15) No project journals, no personal journals, no forum, no various statistics, no csv uploads, no shapefile uploads, no calendar, no profile, no notifications and dashboard, no bulk uploads, no bioblitzes.

In conclusion, I just want to say: comrades, if any of your friends and acquaintances use Pl@ntNet, they need to be urgently and by any means dissuaded from doing this. These people can bring much more contribution to science with the help of iNaturalist. A couple of years ago, Pl@ntNet was much better at AI identifying plants from Russia, since it "grew" from France. Now iNaturalist, on average, has caught up in the quality of automatic definitions, and for Russia, due to the noticeable growth of the base and the use of geographic hints (there are none in Pl@ntNet), it makes them much more confident.

Perhaps, in this post I will add something. The link to this post can be shared to convince doubters.

Posted on December 04, 2020 12:37 by apseregin apseregin | 0 comments | Leave a comment
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Итоги ноября

Всего за ноябрь 2020 года по состоянию на 4 декабря в проект "Птицы Кировской области" добавлено 435 наблюдений от 13 наблюдателей. Учтено 54 вида птиц .

Топ самых наблюдаемых птиц ноября 2020 года:

  1. Большая синица - 39 наблюдений
  2. Полевой воробей - 32
  3. Снегирь - 26
    4-7. Ворон - 24
    4-7. Обыкновенный поползень - 24
    4-7. Европейская сорока - 24
    4-7. Пухляк - 24

  4. Обыкновенная чечетка - 20
  5. Серая ворона - 19
  6. Сойка - 15

Самыми редкими наблюдаемыми видами ноября 2020 года стали коноплянка, черный дятел, трехпалый дятел, обыкновенная овсянка, глухарь (Кирово-Чепецкий район), полярная сова, тетерев, грач, морянка, обыкновенный гоголь, чирок-свистунок, орлан-белохвост (г. Киров), воробьиный сыч, белобровик, оляпка (Слободской район)

В ноябре 2020 птиц в Кировской области наблюдали: @anisimov-43; @elena-votinceva; @vyatka; @woodmen19; @kalinogor; @tintaryng; @annajolka_kz; @lilmars; @lyuda59; @vladimir_perminov; @m-sokolov; @ilyanelyubin; @vyatich_from_kirov.

Posted on December 04, 2020 11:45 by anisimov-43 anisimov-43 | 0 comments | Leave a comment
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Journal 4

Posted on December 04, 2020 06:01 by dianelys dianelys | 4 observations | 0 comments | Leave a comment
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Journal 4

Posted on December 04, 2020 06:00 by edwardm3 edwardm3 | 7 observations | 0 comments | Leave a comment
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last journal

Posted on December 04, 2020 04:29 by maddyolivas maddyolivas | 3 observations | 0 comments | Leave a comment
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寶二水庫 物種調查

以下只是個人對12/1物調活動的簡單回憶紀錄。感謝寶二水庫請彭國棟老師與美蘭老師帶領這次物調,老師學養深厚,特徵辨析清楚,讓我獲益良多。真希望能有多點機會跟著彭老師做自然觀察。

全日晴朗,溫度適中,唯獨九降風猛吹,行走壩上周邊的馬路,雖有繫帽帶,仍令人擔心帽子隨時會被突來的陣風刮走。還好木棧道風小很多,下面的公園區域風勢也較小。
有生以來頭次遇到TW全年未有陸上颱風警報,(有海上颱風警報嗎?)導致風城久旱,景觀異加蕭瑟,看到的動物不多。
先後看到小鷿鵜2隻、回程時幾隻鸕鶿潛水覓食,有一小群白鷺在遠岸水邊。
木棧道前種不少竹柏,草地有很多穗花木蘭,因久旱大多枯黃偶有零星的綠,老師教我們要跪趴在地才好找尋小小灰蝶,TW姬小灰蝶等迷你蝶,他們真的好小,因此常被忽略,也因此他們有恃無恐,不大因為人類在近處就會急著要飛走,可惜我的手機無法拍清楚這麼小的目標。觀察美蘭老師用的相機是Nikon的類單,有一夥伴的手機,google pixel,可以把微小的動物拍清楚,據她說還可拍銀河,完全不遜於以照相功能著稱的iPhone,但價格也高達NT$27000。我想只要好對焦,我還是買類單就好,光學變焦畢竟比數位變焦真實具體。

草地上還看到一隻翅膀已灰黯,邊緣有點破損的橙帶藍尺蛾,祝福牠。
木棧道風小多了,看到黑脈樺斑蝶、有一隻黑色大型蝶快速飛過,好像是黑樹蔭蝶,還有TW黃斑蛺蝶、TW黃蝶,真的挺少的,都躲到這裡避風。如果這個避風處能好好營造,讓蝴蝶蜜源食草豐富,這裡或可成為另一冬季賞蝶的幽谷。

菲律賓榕又名金氏榕,摸起來的粗糙度,一點都不遜於澀葉榕。 老師說兩者的葉子大小明顯可辨,菲律賓榕小,而糙葉榕明顯大。但看下面資料大小差別1~2cm,對經驗不豐的我,還是很難區別。
Ref:

  1. 菲律賓榕與澀葉榕
  2. 菲律賓榕
  3. 澀葉榕

木棧道除了多看到些蝶外,就是蜻蜓,今天有不少善變,幾隻公的,較多隻母的。母善變翅膀黃色,透明度較高,不似公善變紅的濃。老師說母善變,較喜歡待在森林,公的則喜歡空曠地。
中間還看到一個葉對生,全緣,像酸藤但缺乏紅脈的小爬藤,老師說有可能是武靴藤、或與酸藤極像的同乳藤屬的兄弟--乳藤
Ref:

  1. 酸藤
  2. 乳藤
  3. 乳藤 (含與酸藤的比較)
  4. 武靴藤

出了木棧道看到水溝都乾涸了 ,直到有一處因有水管漏水(用噴的) 才見生機。
水裡有野慈菇、很多青萍,---萍水相逢
原本只見少少的蜻蜓、豆娘,也因有水而精彩,不僅種類變多,數量也變多, 水裡甚至還可看到成群的小小野生蝦子。
在這裡果然只看到公善變,而無母善變的蹤跡,公善變也真如老師所言,喜歡固定停棲一處,飛出去繞一下下,就又回停原處。
Ref: 青萍 紫萍

謬謬在水溝末段林邊(有筆筒樹殘株)拔出一條蘆竹,
老師說蘆竹直直不分枝;台灣蘆竹會分枝,我找不到兩者現成外觀的比較資料。只能閱讀其個別資料,發現似乎比較好的分別是兩者喜歡的生育環境有所差異,台灣蘆竹喜歡長在陡坡,懸垂著長,而蘆竹則愛直立、正著長。蘆竹分布廣,民生用途多。台灣蘆竹則是護坡的好植物,尤其愛長在大坡度的陡峻山坡,是水土保持的先驅植物。
Ref:

  1. 台灣蘆竹
    台灣蘆竹 精簡版
    覆蓋陡峻坡地的綠色地毯--台灣蘆竹

  2. 製蘆竹吸管 營造環保生態

蘆葦 與開卡蘆是一掛,前者多在出海口,後者多在內陸河川
這裡的是五節芒;白背芒在草嶺,
老師說他們的基因都很像,屬連續變異,但目前仍被歸為不同種。但也有不少人認為他們各為同一種。
Reference:

  1. 蘆葦、菅、芒比一比 蘆葦vs.菅芒
  2. 開卡蘆

回程上木棧道前,看到大捲尾吃寬腹螳螂, 初始慢慢剝,怕螳螂手腳的刺嗎?
老師說大捲尾尾巴特長,整體看起來頭較小卷尾小,嘴基常見小白點,全黑,比較安靜,偶而Gi---Ju,Gi---Ju;小捲尾尾巴短,整體看起來頭較大,嘴基無白點,黑金紫,聒噪許多,有很多不同聲音

印象中今天見到的蜻蜓有:善變、杜松、初腰、杜松、樂仙、霜白 (應改名紅黑比較貼切!)、侏儒、薄翅、金黃、鼎脈、弓背
豆娘也很多:但我不記得名字。
老師也說了各種蜻蜓豆娘喜歡的環境,但都隨著錄音檔編碼錯誤,用VLC轉檔時的錯誤操作而不見,真的非常可惜。
也有看到松鼠pon(.-muei(4)-su(--2),也聽到小捲尾與綠繡眼的聲音,老師很厲害只要聽到遙遠的小聲音就可辨別牠是甚麼的叫聲,自然觀察的高手就是要到這樣的境界。

扶輪公園有很多斷頭大樹,老師說這些移植的大樹都會長不好,應該從樹苗開始種,才會長得好,我想起日前看劉東啟老師的影片,也呼應這講法。

因聖誕節將至,新聞報導紐約市因疫情,今年的聖誕樹地標比往年都要高,畫面鷹架搭很高,超過10公尺一定有,想起台灣向來便宜行事,要移植大樹就砍頭,不像美國人只為2個月應景的聖誕樹完整保留樹頭樹身。又想起多年前至俄羅斯旅遊,正巧遇到重鋪柏油路,為確保馬路平整,他們還都先把人孔蓋全移開。反觀台灣,從未見過有任何單位如此做!就連重鋪也未必把舊的馬路先刨除,在鄉間往往直接往上疊,所以馬路越來越高到後來高過住家地面! 在宜蘭更過分,竟把人孔蓋做在住家裡!對公部門的抱怨,不禁想起近日因缺水,不少河道/溝圳紛紛被從源頭關閉而呈完全乾涸狀,那裡原生的野生生物毫無生機,日後就算放水,這些野生族群還能回來嗎? 印象中看過非洲某種魚類會在旱季鑽入土裡,到雨季才又鑽出來,台灣河道不少被可惡的地方公部門水泥化,就算台灣的水生生物也有這樣的本領也了無生機!台灣這些地方政客以超級喜好工程而聞名,因這些大小工程可上下手,何時才能省下這些公鏜,不做這些不但無謂,還破壞環境的工程呢!? 就連市立的文化局/圖書館也能落成不到20年,無安全餘慮、也不見不符需求,就因現任營建背景的市長的最後任期,而拆掉重建,而拆掉重建又豈止文化局/圖書館!就我所見青青草原的大門、人行道,鐵道路的人行道,全都拆掉重建,而下水道接管工程還未落實完成呢!日前查到官方數據>50%,但友人家幾年前曾被通知要做,後來卻被虛晃一招,不知是否也被納入已接管完成?想到這裡不禁又要詛咒起這些可惡的地方勢力、政客!

Posted on December 04, 2020 04:17 by helen0 helen0 | 18 observations | 0 comments | Leave a comment
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Myrtle rust season is upon us

As we come into the myrtle rust season (this disease thrives in warm, wet conditions), now is the time to be looking out for yellow spores. Researchers studying myrtle rust in the field are getting their summer field work underway, and you can help by keeping your eyes peeled as well. Spores are popping up across Auckland (thanks to everyone uploading pictures of these) and pustules have recently been seen by scientists in Taranaki. Thanks to those who have also reported the disease in other areas including Northland, Rotorua, Coromandel and on the East Cape. Given the local climate, these areas are likely hot spots for the disease, and further observations will help confirm this. Seen it somewhere else? Upload your pictures and help us understand what's going on out there.

Posted on December 04, 2020 02:47 by reneejohansen reneejohansen | 4 comments | Leave a comment
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The race is heating up - post your pics by 11 December to win!

The race is closing fast for most observations posted in the project, with the addition of Annica Schoo this week! The race is currently between Maggie and Annica for most observations! Who will join up and knock them out of the competition this weekend??

Upload any nature pictures that you’ve been sitting on OR get out this weekend and snap some pics (moths on your kitchen window, butterflies or crawleys in the garden could see you in the running!). As long as you join the project and upload them to iNaturalist before 11 December they’re eligible (and still contribute to science) 😊

Get out this weekend and snap some nature pics & share them with us – you could still take home one of the prizes for:

  • Top threatened species find
  • Creepiest Crawley
  • Most posts/observations made during this time
  • Best Platypus sighting

Using iNaturalist I’ve discovered there have been recent platypus sightings near me so I’m headed out this weekend to try and sight one for the first time!

Happy exploring!
Carmen.

Posted on December 04, 2020 00:39 by carmensm carmensm | 0 comments | Leave a comment
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observations

Posted on December 03, 2020 23:52 by lotusm lotusm | 16 observations | 0 comments | Leave a comment
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Tohono Chul Self-Guided Animal Phenology Trail Guide

You can find a guide to the animals whose phenology is being followed at Tohono Chul here:

https://www.inaturalist.org/guides/12829

Posted on December 03, 2020 22:22 by hoganajjg hoganajjg | 1 comment | Leave a comment
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EcoFlora Survey - please participate!

Denver Botanic Gardens would appreciate your participation in the following EcoFlora survey by clicking on the link below:

EcoFlora Survey

This short survey will let us know your thoughts (answers are anonymous)! We value your feedback and this will help us continue to build upon and improve this project. Thank you!

Posted on December 03, 2020 21:04 by jackerfield jackerfield | 0 comments | Leave a comment
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Who eats whom?

Bradley Allf is a PhD student at North Carolina State University in the USA. He kindly agreed to share with us a project he did for a programming class that you might be interested in.

For this project, he created a food web of all the observations of animal predation or herbivory recorded in the project Interactions (s Afr).
You can see the food web, and a general outline of his process, in the link below.

Bradley says:
"This project was really neat and allowed me to get a sense for what kinds of observations on animal feeding people were making in Southern Africa and recording for your project. This project actually inspired me to start my own iNaturalist project to record animal feeding observations all over the world to (someday) create a sort of hub of feeding ecology and global food web. You can find that project here (https://www.inaturalist.org/projects/who-eats-who). "

If you are interested, please check out what Bradley found: https://rpubs.com/brad7280/whoeatswhosafrica

A nice example, how, just by recording interactions, one can contribute to great science!

Posted on December 03, 2020 20:52 by tonyrebelo tonyrebelo | 2 comments | Leave a comment
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