3. joulukuuta 2020

European Bird Atlas 2020 EBBA2 on Youtube Today(40)

10:00–14:00 CET)
Watch live here: https://youtu.be/Al9_LzJxhQ0
Agenda
First session
chair Mark Eaton
10:00–10:10
Opening the event
Mark Eaton, EBCC Chair, Royal Society for Protection of Birds, Gabriel Gargallo, director,
Catalan Ornithological Institute
10:10–10:25
The story of European Breeding Bird Atlas 2
Verena Keller, chair of the Atlas Steering Committee, EBCC, Swiss Ornithological Institute
10:25–10:40
General patterns of bird distribution and change in Europe
Sergi Herrando, EBBA2 coordination team, EBCC, Catalan Ornithological Institute
10:40–10:55
Distribution, abundance and change in selected species
Petr Voříšek, EBBA2 coordination team, EBCC, Czech Society for Ornithology
10:55–11:05 Break
11:05–11:20
Use of EBBA2 results for policy
Maria Luisa Paracchini, Joint Research Centre
11:20–11:35
Use of EBBA2 data in research
Aleksi Lehikoinen, EBCC, University of Helsinki
11:35–12:05
Interpreting and using EBBA2 results
Discussion session in which Verena Keller, Sergi Herrando, Petr Voříšek, Maria Luisa
Paracchini and Aleksi Lehikoinen will be available for questions.
12:05–12:15 Break
Second session
chair Ruud Foppen
12:15–12:25
European Russia Bird Atlas: done
Mikhail Kalyakin, EBCC, Zoological Museum of the Moscow University
12:25–12:35
Ukrainian contribution to EBBA2: challenges and lessons
Tatiana Kuzmenko, Ukrainian Society for Protection of Birds
12:35–12:45
Selected experiences from the 3rd Danish breeding bird atlas (2014–17)
Thomas Vikstrøm, Danish Ornithological Society
12:45–13:00
Beyond EBBA2: from atlas to monitoring
Alena Klvaňová, EBBA2 coordination team, EBCC, Czech Society for Ornithology
13:00–13:10
Time for questions. Mikhail Kalyakin, Tatiana Kuzmenko, Thomas Vikstrøm and Alena
Klvaňová will be available for questions.
13:10–14:00
Making EBBA2 happen – the national perspective
Feedback from the countries contributing to EBBA2: a series of short talks by national
coordinators of atlas work:
 Using advantages of Armenia to organize country-wide data collection
Karen Aghababyan
 Data-rich and data-poor, maximising EBBA2 coverage in the UK
Dawn Balmer, Justin Walker, David Noble
 Atlas of birds in breeding season (Spain)
Blas Molina, Juan Carlos del Moral, Aaron Nebreda
 Hungarian Bird Atlas (2021) – based on Hungarian PECBMS and EBBA2 data
Tibor Szép
 Collecting data for the European breeding birds atlas in Bulgaria Stoycho Stoychev
 Contribution of structured and unstructured data to EBBA2 – The case of Portugal
Carlos Godinho, Júlia Almeida, Joaquim Teodósio, Domingos Leitao
 The EBBA2 experience in Greece Danae Portolou
 EBBA2 in Poland – challenges and lessons learnt Tomasz Wilk, Tomasz Chodkiewicz
 National contribution to EBBA2 – Croatia Vlatka Dumbovic Mazal

iNaturalist is a not-for-profit initiative making a global impact on biodiversity by connecting people to nature with technology. We know some of you have seen these fundraising messages because they have been closed more than 10,355 times since we started asking in earnest last week. Thank you to the 0.2% of the community who are donors!
If you've been waiting for the right moment to chip in, here's what your gift can do:
-$13 stores 10,000 observation photos for a year
-$28 sends one day's worth of email updates
-$112 stores 1 million observation photos for 1 month
-$333 keeps iNat servers running for 24 hours

Literatuur, Referenties

view-source:https://www.anoleannals.org/2017/09/13/help-train-inaturalists-artificial-intelligence-to-identify-anole-species-from-photographs/
https://www.inaturalist.org/posts/44244-kun-je-de-inaturalist-app-goed-gebruiken-om-buitenshuis-organismen-op-naam-te-brengen-38
https://forum.inaturalist.org/t/iphone-photos-missing-location-accuracy/7352/16
https://forum.inaturalist.org/t/improving-location-accuracy-on-observations/1767
https://www.tandfonline.com/doi/abs/10.1080/00219266.2020.1739114
https://www.geoawesomeness.com/how-accurate-is-your-smartphones-gps-in-an-urban-jungle/
https://www.inaturalist.org/posts/44091-help-mee-om-de-herkenning-in-inaturalist-te-verbeteren-31
https://www.inaturalist.org/observations/map?user_id=earthknight#4/62.615/7.315 Heatmap
HASH4 is zoomlevel of heatmap
HASH4 beteekend zoom niveau van de Heatmap
Presentation Discord material here: https://docs.google.com/presentation/d/1eraaVSWOyWc2vYHcG9x6XHcrDXwR6UotoZR45NPU_aU/edit?usp=sharing 2

GPS issues on Camera's

https://forum.inaturalist.org/t/improving-location-accuracy-on-observations/1767/119

European Bird Atlas 2020 EBBA2 on Youtube Today(40)

Lähetetty 3. joulukuuta 2020 11:49 käyttäjältä ahospers ahospers | 1 kommentti | Jätä kommentti

1. joulukuuta 2020

Computer Vision Nearby Injection, het toevoegen van bekende Top10 soorten uit de omgeving

By Kueda
Let op de Nearby Injection en recnete forum posts

Blijkbaar wordt de TOP100 gebruikt
https://forum.inaturalist.org/t/identification-quality-on-inaturalist/7507

I gave a talk on data quality on iNaturalist at the Southern California Botanists 2019 symposium recently, and I figured some of the slides and findings I summarized would be interesting to everyone, so here goes.

Accuracy of Identifications in Research Grade Observations

Some of you may recall we performed a relatively ad hoc experiment to determine how accurate identifications really are. Scott posted some of his findings from that experiment in blog posts (here and here), but I wanted to summarize them for myself, with a focus on how accurate “RG” observations are, which here I’m defining as obs that had a species-level Community Taxon when the expert encountered them. Here’s my slide summarizing the experiment:

And yes, https://github.com/kueda/inaturalist-identification-quality-experiment/blob/master/identification-quality-experiment.ipynb does contain my code and data in case anyone wants to check my work or ask more questions of this dataset.

So again, looking only at expert identifications where the observation already had a community opinion about a species-level taxon, here’s how accuracy breaks down for everything and by iconic taxon:



Some definitions
  • accurate: identifications where the taxon the expert suggested was the same as the existing observation taxon or a descendant of it
  • inaccurate: identifications where the taxon the expert suggested was not same as the existing observation taxon and was also not a descendant or ancestor of that taxon
  • too specific: identifications where the taxon the expert suggested was an ancestor of the observation taxon
  • imprecise: identifications where the taxon the expert suggested was a descendant of the observation taxon

Close readers may already notice a problem here: my filter for “RG” observation is based on whether or not we think the observation had a Community Taxon at species level at the time of the identifications, while my definitions of accuracy are based on the observation taxon. Unfortunately, while we do record what the observation taxon was at the time an identification gets added, we don’t record what the community taxon, so we can’t really differentiate between RG obs and obs that would be RG if the observer hadn’t opted out of the Community Taxon. I’m assuming those cases are relatively rare in this analysis.

Anyway, my main conclusions here are that

  • about 85% of Research Grade observations were accurately identified in this experiment
  • accuracy varies considerably by taxon, from 91% accurate in birds to 65% accurate in insects

In addition to the issues I already raised, there were some serious problems here:



Since I was presenting to a bunch of Southern California botanists, I figured I’d try repeating the analysis assuming some folks in the audience were infallible experts, so I exported identifications by jrebman, naomibot, and keirmorse (all SoCal botanists I trust) and made the same chart:



jrebman has WAY more IDs in this dataset than either of the other two botanists, and he’s added way more identifications than were present in the 2017 Identification Quality Experiment. I’m not sure if he’s infallible, but he’s a well-established systematic botanist at the San Diego Natural History Museum, so he’s probably as close to an infallible identifier as we can get.

Anyway, note that we’re a good 8-9 percentage points more accurate here. Maybe this is due to a bigger sample, maybe this is due to Jon’s relatively unbiased approach to identifying (he’s not looking for Needs ID records or incorrectly identified records, he just IDs all plants within his regions of interest, namely San Diego County and the Baja peninsula), maybe this pool of observations has more accurate identifiers than observations as a whole, maybe people are more interested in observing easy-to-identify plants in this set of parameters (doubtful). Anyway, I find it interesting.

That’s it for identification accuracy. If you know of papers on this or other analyses, please include links in the comments!

Accuracy of Automated Suggestions

I also wanted to address what we know about how accurate our automated suggestions are (aka vision results, aka “the AI”). First, it helps to know some basics about where these suggestions come from. Here’s a schematic:

The model is a statistical model that accepts a photo as input and outputs a ranked list of iNaturalist taxa. We train the model on photos and taxa from iNaturalist observations, so the way it ranks that list of output taxa is based on what it’s learned about what visual attributes are present in images labeled as different taxa. That’s a gross over-simplification, of course, but hopefully adequate for now.

The suggestions you see, however, are actually a combination of vision model results and nearby observation frequencies. To get those nearby observations, we try to find a common ancestor among the top N model results (N varies with each new model, but in this figure N = 3). Then we look up observations of that common ancestor within 100km of the photo being tested. If there are observations of taxa in those results that weren’t in the vision results, we inject them into the final results. We also re-order suggestions based on their taxon frequencies.

So with that summary in mind, here’s some data on how accurate we think different parts of this process are.

Model Accuracy (Vision only)



There are a lot of ways to test this, but here we’re using photos of taxa the model trained on exported at the time of training but not included in that training as inputs, and “accuracy” is how often the model recommends the right taxon for those photos as the top result. We’ve broken that down by iconic taxon and by number of training images. I believe the actual data points here are taxa and not photos, but Alex can correct me on that if I’m wrong.

So main conclusions here are

  1. Median accuracy is between 70 and 85% for taxa the model knows about
  2. Accuracy varies widely within iconic taxa, and somewhat between iconic taxa
  3. Number of training images makes a difference (generally more the better, with diminishing returns)

Overall Accuracy (Vision + Nearby Obs)



This chart takes some time to understand, but it’s the results of tests we perform on the whole system, varying by method of defining accuracy (top1, top10, etc) and common ancestor calculation parameters (what top YY results are we looking at for determining a common ancestor, what combined vision score threshold do we accept for a common ancestor).

My main conclusions here are

  1. The common ancestor, i.e. what you see as “We’re pretty sure it’s in this genus,” is very accurate, like in the 95% range
  2. Top1 accuracy is only about 64% when we include taxa the model doesn’t know about. That surprised me b/c anecdotally it seems higher, but keep in mind this test set includes photos of taxa the model doesn’t know about (i.e. it cannot recommend the right taxon for those photos), and I’m biased toward seeing common stuff the model knows about in California
  3. Nearby observation injection helps a lot, like 10 percentage points in general

Conclusions

  1. Accuracy is complicated and difficult to measure
  2. What little we know suggests iNat RG observations are correctly identified at least 85% of the time
  3. Vision suggestions are 60-80% accurate, depending on how you define “accurate,” but more like 95% if you only accept the “we’re pretty sure” suggestions

Hope that was interesting! Another conclusion was that I’m a crappy data scientist and I need to get more practice using iPython notebooks and the whole Python data science stack.

https://forum.inaturalist.org/t/identification-quality-on-inaturalist/7507

Lähetetty 1. joulukuuta 2020 18:19 käyttäjältä ahospers ahospers | 0 kommenttia | Jätä kommentti

30. marraskuuta 2020

GPS uinvertainty..Gussing interlocate

https://inaturalist.ca/projects/nhic-rare-species-of-ontario/journal/28376-making-your-observations-more-valuable-for-conservation-location-uncertainty
We've been busy reviewing records in the project and have to say we're blown away by the number of people submitting so many observations that can be used to update the provincial record - thanks to all of you for your hard work!

For now, we wanted to share some tips for improving on two common issues we have encountered when reviewing records: location uncertainty.

Location uncertainty is really important because it tells us how accurate the reported location is. Most handheld GPS units (including phones) can record locations up to about 10 m accuracy. The more accurate the location, the better our ability to ensure the correct location is identified as being important to a species.

Issue 1: no location uncertainty reported
You can create a record in iNaturalist and record the location perfectly, but in some cases there will be no location uncertainty attached to it - just a location and coordinates. In these cases we don't know how accurate/inaccurate the reported location is which makes it hard to assess the record, and especially whether the location is important for conservation (e.g. is the species in suitable habitat or likely just passing through an area). Some times, phones can't get a GPS signal and use triangulation from cell towers to estimate a crude location (or just report the location of the nearest cell tower). The most common cause is taking a photo and then importing it into iNaturalist.

https://inaturalist.ca/projects/nhic-rare-species-of-ontario/journal/28376-making-your-observations-more-valuable-for-conservation-location-uncertainty

https://www.inaturalist.org/taxon_changes/85816 https://www.inaturalist.org/flags/512528 Flag for Taxon: Subspecies Dorycnium pentaphyllum germanicum

Nee het is gedupliceerd en in de achtergrond can fijsntraal. Als je op de 'i 'klit en doorklit zie je Dagkoekoeksbloem (Silene dioica)
https://www.inaturalist.org/observations/65846783
Other picture Silene diocia, press 'i' and one can see the related other observations to this photo on the right
https://www.inaturalist.org/observations/65815765

Relations Photo
https://www.inaturalist.org/photos/105996536

Lähetetty 30. marraskuuta 2020 09:59 käyttäjältä ahospers ahospers | 0 kommenttia | Jätä kommentti

28. marraskuuta 2020

Sovon Landelijke Dag online Youtube(39)

https://www.sovon.nl/nl/content/evenementpagina-landelijke-dag-2020
https://www.sovon.nl/nl/content/blokkenschema-landelijke-dag-2020
https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf https://www.sovon.nl/nl/sprekers_LD https://www.sovon.nl/faq-landelijke-dag

1 Boerenland Vogels Landelijke Dag stream

https://youtu.be/y2HTgBBlaz4
https://www.youtube.com/watch?v=y2HTgBBlaz4&feature=emb_logo https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf

2 VisEters Lezingen NOU Nederlandse Ornithologische Unie

https://www.sovon.nl/nl/content/blokkenschema-landelijke-dag-2020
https://youtu.be/0L_w4HUkk4U
https://www.youtube.com/watch?v=0L_w4HUkk4U&feature=youtu.be https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf

3 JaarRond TuinTelling 3

https://youtu.be/YL8xBGBhLQI
https://www.youtube.com/watch? v=YL8xBGBhLQI&feature=share&fbclid=IwAR3GJvZsJOOCnZAFg2oqyQ9eAuP9T0B-JmQqdNmLI8S1ZE6QmS8z7PInzYw https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf

4 PodCast Begijn Le Bleu Landelijke Dag stream 4

https://youtu.be/LZShIz5SEG0 Sovon Landelijke Dag online https://www.sovon.nl/nl/content/blokkenschema-landelijke-dag-2020 https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf

5 Kijken, Reizen, Spitsbergen, DigitScopen

https://youtu.be/LZShIz5SEG0 Sovon Landelijke Dag online https://www.sovon.nl/nl/content/blokkenschema-landelijke-dag-2020 https://www.sovon.nl/sites/default/files/doc/programma_landelijke_dag_2020.pdf

6 Referenties, Literatuur

https://lowland-ecology.network/
Lähetetty 28. marraskuuta 2020 10:35 käyttäjältä ahospers ahospers | 5 kommenttia | Jätä kommentti

24. marraskuuta 2020

Kun je de iNaturalist App goed gebruiken om buitenshuis organismen op naam te brengen (38)

https://www.tandfonline.com/doi/abs/10.1080/00219266.2020.1739114?

In deze publicatie is een opkomende smartphone app van de website iNaturalist bekeken tijdens de opleiding van eerste jaars studenten biologie om de taxonomie van aquatische ecosystemen(Meren en beken) en Vaste grond ecosystemen (bomen en bladafval ecologie, bodemkunde). De oefeningen betroffen het op naam brengen van organismes met de gewone standard veldgidsen en de standaard wetenschappelijk sleutels en dit werd vergeleken met de bepaling van de taxonomie mbv iNaturalist app adhv de fotos die de studenten in het veld gemaakt hadden.

Ook achteraf werden er onderzoeken gedaan aan de populariteit van deze iNat app., of ze deze app in de toekomst wilden gaan gebruiken en moesten ze aangeven hoe goed deze app een organisme op naam kon brengen. vergeleken met de ouderwetse veldgidsen en wetenschappelijke dichotome sleutels. Het bleek dat de iNaturalist app goed werkte voor organismen die in de vastegrond stonden als de fotos die de studenten gemaakt hadden van goede kwaliteit was. Als je alleen goede of uitstekende fotos gebruikte was 92% tot 97% van de uitkomsten van iNaturalist correct.
Samengevat gaf de iNaturalist app een grotere taxonomisch antwoord met goede wetenschappelijke en Nederlandse, locale namen met daarbij ook waardevolle achtergrondinformatie waardoor de belangstelling van de studenten gewekt werd.

scroll=top&needAccess=true&journalCode=rjbe20 We evaluated an emerging smartphone application, iNaturalist, to increase taxonomic identification and engage first-year undergraduate biology majors in outdoor laboratories of aquatic ecosystems (stream and lake ecology) and terrestrial ecosystems (tree and leaf litter ecology). Labs involved identifying organisms using both standard field guides and keys, and comparing taxonomic identifications using the iNaturalist smartphone application derived from student images of organisms. Students were given post-laboratory surveys which assessed their preference for this increasingly popular smartphone application, whether they were more likely to use the application in the future and rate its ability and ease of use to properly identify organisms compared to traditional keys/field guides. This iNaturalist application worked most consistently for students with terrestrial organisms, when images were of sufficient quality. However, when only medium-high to high-quality photos were used, iNaturalist identifications ranged from 92.3% to 97.3% proper biological taxonomic classifications to standard organismal levels for an introductory biology course. Overall, iNaturalist provided greater taxonomic resolution with proper scientific and common names and additional natural history information for many organisms, piquing student interest. Incorporating this smartphone technology may increase identification of local biodiversity and student engagement in the biological sciences.

KEYWORDS: iNaturalist, smartphone application, species identification, science learning, taxonomy

Kun je de iNaturalist App goed gebruiken om buitenshuis organismen op naam te brengen (38)

https://www.tandfonline.com/doi/abs/10.1080/00219266.2020.1739114

We thank Wingate University Biology Department for supplying materials used in field identification and members of the Wingate Research and Review board for approval of project. We also thank several undergraduate laboratory assistants with their help in development of this laboratory, including Diana Chap, Javier Escobar, Emily Barbee, Christy Thompson, Spencer Campbell and Allison Santana.

iNaturalist is a not-for-profit initiative making a global impact on biodiversity by connecting people to nature with technology. We know some of you have seen these fundraising messages because they have been closed more than 10,355 times since we started asking in earnest last week. Thank you to the 0.2% of the community who are donors!
If you've been waiting for the right moment to chip in, here's what your gift can do:
-$13 stores 10,000 observation photos for a year
-$28 sends one day's worth of email updates
-$112 stores 1 million observation photos for 1 month
-$333 keeps iNat servers running for 24 hours

Literatuur, Referenties

view-source:https://www.anoleannals.org/2017/09/13/help-train-inaturalists-artificial-intelligence-to-identify-anole-species-from-photographs/
https://www.inaturalist.org/posts/44244-kun-je-de-inaturalist-app-goed-gebruiken-om-buitenshuis-organismen-op-naam-te-brengen-38
https://forum.inaturalist.org/t/iphone-photos-missing-location-accuracy/7352/16
https://forum.inaturalist.org/t/improving-location-accuracy-on-observations/1767
https://www.tandfonline.com/doi/abs/10.1080/00219266.2020.1739114
https://www.geoawesomeness.com/how-accurate-is-your-smartphones-gps-in-an-urban-jungle/
https://www.inaturalist.org/posts/44091-help-mee-om-de-herkenning-in-inaturalist-te-verbeteren-31
https://www.inaturalist.org/observations/map?user_id=earthknight#4/62.615/7.315 Heatmap
HASH4 is zoomlevel of heatmap
HASH4 beteekend zoom niveau van de Heatmap
Presentation Discord material here: https://docs.google.com/presentation/d/1eraaVSWOyWc2vYHcG9x6XHcrDXwR6UotoZR45NPU_aU/edit?usp=sharing 2

GPS issues on Camera's

https://forum.inaturalist.org/t/improving-location-accuracy-on-observations/1767/119

https://www.inaturalist.org/taxon_changes/85816 https://www.inaturalist.org/flags/512528 Flag for Taxon: Subspecies Dorycnium pentaphyllum germanicum

Nee het is gedupliceerd en in de achtergrond can fijsntraal. Als je op de 'i 'klit en doorklit zie je Dagkoekoeksbloem (Silene dioica)
https://www.inaturalist.org/observations/65846783
Other picture Silene diocia, press 'i' and one can see the related other observations to this photo on the right
https://www.inaturalist.org/observations/65815765

Relations Photo
https://www.inaturalist.org/photos/105996536

Lähetetty 24. marraskuuta 2020 21:50 käyttäjältä ahospers ahospers | 4 kommenttia | Jätä kommentti

Transplantatie Krabbescheer door Noorderzijlvest bij DeHeld Gravenburg(37)

Nalv Protest van IVN Groningen
GESCHREVEN DOOR
Jan Been Jan Been
Verslaggever

Waterschap Noorderzijlvest is dinsdag aan de Natalie Barneykade in Stad begonnen met het terugbrengen van krabbenscheer. De waterplant is belangrijk voor de zeldzame libel de groene glazenmaker, die een jaar geleden plotseling verdween uit de sloot. Deze Groene Glazenmaker deed nog mee aan de verkiezing Soort van de Provincie Groningen.

Natuureducatie-organisatie IVN Groningen-Haren diende een klacht in, die leidde tot de hersteloperatie van dinsdag.

In de sloot gestort
De transplantatie gebeurt met een maaiboot die grote plakken krabbenscheer uit een sloot tussen de Jakob Israël de Haanstraat en de Jacob Schorerstraat uit het water vist en naar een aanhanger brengt. De waterplant wordt vervolgens enkele honderden meters verderop in de sloot bij de Natalie Barneykade gestort. Het waterschap gaat ervan uit dat-ie vanaf volgend voorjaar weer aangroeit.

Harold van Oosten van Noorderzijlvest: 'We hebben onderzocht waarom de plant een jaar geleden zomaar verdwenen was. We hebben geen verklaring kunnen vinden. Het is gebeurd tijdens opschoningswerkzaamheden. Wij hebben daar geen opdracht voor gegeven. Wie dat wel heeft gedaan, hebben we niet meer kunnen achterhalen.'

Krabbenscheer mag niet zomaar verwijderd worden
Toch voelt Noorderzijlvest zich verantwoordelijk voor het herstel. Het is haar eigen sloot en het schap werkt met de landelijke Gedragscode Flora en Fauna waarin staat dat de krabbenscheer niet zomaar mag worden verwijderd.

'Als je het weghaalt dan moet je de helft laten staan. Gelukkig komt de krabbenscheer hier in De Held veel voor. We halen de helft weg uit deze sloot en transplanteren dat naar de plek waar het verdwenen is.'

De krabbenscheer (linksonder) is teruggestort in de sloot aan de Natalie Barneykade (Foto: Jan Been/RTV Noord)
Berber de Jong, ecoloog bij Noorderzijlvest: 'De krabbenscheer is een inheemse plant. Hoe het kan dat hij in de sloten in De Held zo goed gedijt weten we niet. Het is geen beschermde plant, maar omdat hij van groot belang is voor de groene glazenmaker zijn we er heel voorzichtig mee.'

Het belang van krabbenscheer
De groene glazenmaker is afhankelijk van de krabbenscheer. De libelle legt zijn eitjes aan de onderkant van het blad van de waterplant en doet dat alleen bij deze soort. De Jong: 'Noorderzijlvest vindt biodiversiteit belangrijk en daarom is het van belang om de krabbenscheer omwille van de glazenmaker zoveel mogelijk te beschermen. Vandaar dat we deze 'transplantatie' zijn begonnen.'

Transplantatie Krabbescheer door Noorderzijlvest bij DeHeld Gravenburg(37)
Zie ook Berend Botje
https://www.rtvnoord.nl/nieuws/764524/Noorderzijlvest-transplanteert-krabbenscheer-in-stadswijk-De-Held
https://www.rtvnoord.nl/nieuws/202994/Slepende-rechtszaak-over-zeldzame-libelle-na-tien-jaar-ten-einde
https://www.inaturalist.org/observations/map?user_id=earthknight#4/62.615/7.315 Heatmap

https://www.inaturalist.org/taxon_changes/85816 https://www.inaturalist.org/flags/512528 Flag for Taxon: Subspecies Dorycnium pentaphyllum germanicum

Nee het is gedupliceerd en in de achtergrond can fijsntraal. Als je op de 'i 'klit en doorklit zie je Dagkoekoeksbloem (Silene dioica)
https://www.inaturalist.org/observations/65846783
Other picture Silene diocia, press 'i' and one can see the related other observations to this photo on the right
https://www.inaturalist.org/observations/65815765

Relations Photo
https://www.inaturalist.org/photos/105996536

Lähetetty 24. marraskuuta 2020 21:33 käyttäjältä ahospers ahospers | 0 kommenttia | Jätä kommentti

Hoe maak je een leuke Profielpagina met interessante links(36)

Opbouw van een ProfielPagina met links

Taxa en families die leuk zijn om te volgen:
Bombus (only the "easy" species) in de zuidkant van deU.S. [ID guide | ID modal]
Apiomerus assassin insecten in de U.S. [species | ID modal]
Zelus assassin insecten in de U.S. and Canada [ID guide | species | ID modal (U.S. and Canada)]
Perillus stink insecten in de U.S. [species | ID modal]
Alydidae (broad-headed insecten) [Notes on Alydus ID | ID modal (U.S. and Canada)]
Mantidflies in the U.S. [species | ID modal (U.S. and Canada)]
Arabidea species in Texas [ID guide | species | ID modal]
Agalinis (false foxglove) species in Texas [ID guide | species | ID modal]
Anemones (the wildflowers) in Texas, OK [ID guide | Pollination ecology | ID modal]
Geomys (gophers) in North America [ID information | species]
lepidoptera of the genus Microtheoris [species | distinguishing characters | ID modal]

Projecten en Diversen

ID Gidsen door anderen gemaakt

iNat Tips & Tricks

I recommend not agreeing to an ID just because someone else gave that ID--only ID things based on your OWN knowledge and research.

https://forum.inaturalist.org/t/how-to-use-inaturalists-search-urls-wiki/63/13 to search for voucher numbers https://www.inaturalist.org/observations?place_id=any&subview=grid&field:Voucher%20Number(s)= >

Meerdere soorten in een Verspreidingskaart

2 Manieren om Veel Soorten op EEN verspreidingskaar te tonen. Hier worden vierNorth American soorten van Clintonia displayed in een verspreidingskaart getoond: https://www.inaturalist.org/taxa/map?taxa=53794,76401,118725,51647 13

Galapagea, megasperma, insularis, helleni,Query1, Query2, Query3, Query4, Tabs Vertical, Horizontal

https://www.inaturalist.org/observations/compare?s=eyJxdWVyaWVzIjpbeyJuYW1lIjoiUXVlcnkgMSIsInBhcmFtcyI6InRheG9uX2lkPTUzNzk0In0seyJuYW1lIjoiUXVlcnkgMiIsInBhcmFtcyI6InRheG9uX2lkPTc2NDAxIn0seyJuYW1lIjoiUXVlcnkgMyIsInBhcmFtcyI6InRheG9uX2lkPTExODcyNSJ9LHsibmFtZSI6IlF1ZXJ5IDQiLCJwYXJhbXMiOiJ0YXhvbl9pZD01MTY0NyJ9XSwidGFiIjoibWFwIiwidGF4b25GaWx0ZXIiOiJub25lIiwidGF4b25GcmVxdWVuY2llc1NvcnRJbmRleCI6MCwidGF4b25GcmVxdWVuY2llc1NvcnRPcmRlciI6ImFzYyIsIm1hcExheW91dCI6ImNvbWJpbmVkIiwiaGlzdG9yeUxheW91dCI6ImNvbWJpbmVkIiwiaGlzdG9yeUludGVydmFsIjoid2VlayJ9 Hieronder een van de mooiste ‘hidden’ tools io iNaturalist. Nog mooier is door het toevoegen van legend and label the maps, like so (you’ll need to zoom in manually). It would be even better if it would accept taxon names, perhaps quoted, rather than IDs

Legend and label Galapagea, megasperma, insularis, helleni, Query3, Query4, Tabs Vertical, Horizontal,

https://www.inaturalist.org/observations/compare?s=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%3D%3D

Referenies, Links Handige Bookmarks Velden, Determinaties, Commentaar, Taxa

Identifications (replace the taxon ID with any taxon om alle waarnemingen bij een bepaalde familie of Taxon te vinden an active taxon, also other useful params)
Comments (as mentioned above)
Observation fields (Zoeken op waarnemingsvelden)
Ungrafted taxa (for curators, Diit onderdeel is voor een deel al opgeschoondthis page so not as necessary) https://forum.inaturalist.org/t/how-to-learn-more-about-the-inaturalist-site-itself-also-hidden-features-and-useful-links-that-exist-but-dont-appear-on-the-dashboard/18269/7 UNDOCUMENTED..Je kunt op meerdere foto licenties zoeken in een Vraag zoals Alle Waarnemingen met de Licentie “free work” (volgens Wikipedia): https://www.inaturalist.org/observations?photo_license=CC0,CC-BY,CC-BY-SA&place_id=any&subview=grid 2 Volgnes de API documentation beteeknd de the &current parameter dat de “most recent ID on a observation by a user”,maar eht is een beetje vaag. Perhaps the best thing to do is browse your own identifications with &current=false. Mine are at URL: https://www.inaturalist.org/identifications?user_id=trscavo&current=false 3 Je zult dan zien dat alle Determinaties, dentifications die in de lijst staan crossed out, teruggetrokken of overruled zijn met een opvolgende identification. https://forum.inaturalist.org/t/wiki-observing-identifying-wildlife/15332 Wiki
Lähetetty 24. marraskuuta 2020 15:40 käyttäjältä ahospers ahospers | 1 kommentti | Jätä kommentti

23. marraskuuta 2020

that by default the species tab on explore should represent this ‘field guide’ (35)

Blijkbaar post compleet gemist
https://forum.inaturalist.org/t/options-for-the-best-way-to-handle-non-established-obs-e-g-escaped-released-pets/16684

Our opinion is that by default the species tab on explore should represent this ‘field guide’ scope of a place

If they are that dominant, aren’t they very likely to be encountered and should be included when using explore as an informal ‘field guide’?

https://forum.inaturalist.org/t/options-for-the-best-way-to-handle-non-established-obs-e-g-escaped-released-pets/16684

If they are that dominant, aren’t they very likely to be encountered and should be included when using explore as an informal ‘field guide’?

no - they represent a tiny tiny subset of the observations so they don’t have a noticeable impact on the observations tab on the explore page - but because the diversity is more or less unbounded (in theory any animal species can be in captivity and can briefly escape/be dumped and be observed) they have a very noticeable impact on species tab of the explore page. For example in my CA reptiles example escaped/released pets represent about 0.02% of observations but about 20% of species




1 Like

arboretum_amy



September 25, 2020, 8:08pm

#15




loarie:


This would mean that captive/cultivated observations would be in Needs ID and Research. But we would add an additional set of search filters to Explore that default to excluding Casual, Captive/Cultivated, and Non-established observations by default.

https://forum.inaturalist.org/t/options-for-the-best-way-to-handle-non-established-obs-e-g-escaped-released-pets/16684

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Lähetetty 23. marraskuuta 2020 01:04 käyttäjältä ahospers ahospers | 1 kommentti | Jätä kommentti

22. marraskuuta 2020

Nathan and Cassi Saari's tips (bouteloua) and tricks pos

https://www.inaturalist.org/journal/nathantaylor7583
Cassi Saari's tips (bouteloua) and tricks pos
https://www.inaturalist.org/pages/tips_tricks_nz
https://www.inaturalist.org/people/pfau_tarleton

Since starting out on iNaturalist, I've learned a lot of nifty tricks about how to maneuver the website more efficiently. The following is pretty much a list of those for my own reference (i.e., copy and pasting), but hopefully, others will find it helpful too. I know a lot of this is pretty simple stuff to some of you. Also, be sure to remove the space after each "< " when actually using hyperlinks and when embedding pictures.

Hyperlinks
Basic format: < a href="[link]">[text]< /a>
For instance, to link to BONAP, I would type in the following without a space after each "< ":
< a href="http://bonap.net/NAPA/Genus/Traditional/County">BONAP< /a>

Embedding images
Embedding images basic format: < img src="[image link]" width=100%>
For instance, to embed the first image from this link, I would type the following without a space after each "< ":
< img src="https://static.inaturalist.org/photos/13118244/original.jpeg?1516912953" width=100%>
The link can be found by right clicking on the image you want and clicking "Copy Image Address". You can also vary the size of the photo by changing the "width" part. For instance the above address will end up with this:

However, if you modify the text to:
< img src="https://static.inaturalist.org/photos/13118244/original.jpeg?1516912953" width=50%>
it will look like this:

Bold, italics, or crossed out text
Basic format: < b>[bold text]< /b>, < i>[italic text]< /i>, or < s>[crossed out text]< /s>
You can also get bold and italic text by typing < b>< i>[text]< /b>< /i> or any other combination. You can even have all three.

Creating extra spaces.
Basic format: < br>
iNaturalist will only allow one space between paragraphs and I occasionally want more. What follows is a space followed by the < br> followed by another space:

This is what three spaces look like without < br>:

Helpful link extensions
When searching for observations, I had always wished that there was a "not" function (e.g., plants but not flowering plants or Texas but not Gaines County). It turns out there is, but it is a little more complicated than I thought. To do this, you have to add the following extensions to the end of the link. On any of these, you can exclude as many variables as you would like by adding another extension onto the previous extension. This will work for both where you can search observations and in identify.

Keep in mind that the first extension will be separated from the main part of the link by "?". Any additional extensions will be separated by "&".

Exclude taxa:
Basic format: &without_taxon_id=[Taxon ID]
Example without the extension: https://www.inaturalist.org/observations?place_id=any&subview=grid&taxon_id=47126
Example without the extension: https://www.inaturalist.org/observations?place_id=any&subview=grid&taxon_id=47126&without_taxon_id=47125
The above example includes plants but excludes flowering plants (Taxon ID: 47125).

Exclude places:
Basic format: &not_in_place=[Location ID]
Example without the extension: https://www.inaturalist.org/observations/identify?place_id=92937
Example without the extension: https://www.inaturalist.org/observations/identify?place_id=92937&not_in_place=2737&not_in_place=1207
The above example includes all observations from the Llano Estacado except the counties of Lubbock (Place ID: 2737) and Midland (Place ID: 1207).

If you want more information or more items to exclude, please go here. This is where I found out about it in the first place.

Custom bounding box
Modifying a trick I picked up here.
Basic format: &nelat=[northeast corner latitude]&nelng=[northeast corner longitude]&swlat=[southwest corner latitude]&swlng=[southwest corner longitude]
If I wanted to see all the Opuntia observations from south of Midland, west of Garden City, east of Fort Stockton, and north of Langtry, I wouldn't be able to do this with the "redo search in map" feature. However, if you really want that custom location, you can track down the coordinates of the northeast and southwest corners of the bounding box you want and plug them into the format above. In the example, it would look like this:

Extension: &nelat=32.006531&nelng=-101.504131&swlat=29.835352&swlng=-102.800566
Actual link: https://www.inaturalist.org/observations?nelat=32.006531&nelng=-101.504131&place_id=any&swlat=29.835352&swlng=-102.800566&taxon_id=47902

Note that neither the box nor the dots on the map will show up when you do this, but the greater specificity can be worth it. Another advantage, this will also work in identify:

https://www.inaturalist.org/observations/identify?taxon_id=47902&nelat=32.006531&nelng=-101.504131&swlat=29.835352&swlng=-102.800566

Searching for observations with annotations
Basic extension: &term_id=[#]&term_id=[#]
This will require two extensions, one for the type of annotation (like sex) and one for the actual annotation (like male). Add without_ between & and term for observations without an annotation. What follows is a list of IDs for each annotation.

  1. lifestage: -2. adult -3. teneral -4. pupa -5. nymph -6. larva -7. egg -8. juvenile -16. subimago
  2. sex: -10. femle -11. male
  3. plant phenology: -13. flowering -14. fruiting -15. budding

To display only observations of plants in flower, you would add the extension: &term_id=12&term_id=13. You can see this in the example here: https://www.inaturalist.org/observations?place_id=64815&subview=grid&taxon_id=47126&term_id=12&term_value_id=13

Other useful links:
Cassi Saari's tips (bouteloua) and tricks post
Russell Pfau's (pfau_tarleton) journal posts (good tips in several journal posts)
NatureWatch NZ Tips and tricks page
iNaturalist google group
HTML tags

Other useful tips:
Searching for IDs you've made
https://www.inaturalist.org/journal/nathantaylor7583
https://www.inaturalist.org/pages/tips_tricks_nz

Find old comments

Comments on my observations:
https://inaturalist.nz/comments?for_me=true

Comments by me:
https://inaturalist.nz/comments?mine=true

All comments:
https://inaturalist.nz/comments

Search for keyword in comments:
https://inaturalist.nz/comments?commit=Search&q=wellington

And combine options to search for particular comments by me:
https://inaturalist.nz/comments?mine=true&commit=Search&q=wellington

Find someones identifications of a particular species

https://www.inaturalist.nz/identifications?user_id=tony_wills&taxon_id=4690
Further useful tips:

Cassi Saari's iNat tips & tricks
Russell Pfau's iNat tips & tricks
https://www.inaturalist.org/people/pfau_tarleton

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Lähetetty 22. marraskuuta 2020 21:53 käyttäjältä ahospers ahospers | 0 kommenttia | Jätä kommentti

Lookup tables

species group 1 Birds 1

species group 2 Mammals 2

species group 3 Reptiles and Amphibians 3

species group 4 Butterflies 4

species group 5 Dragonflies 5

species group 6 Insects (other) 6

species group 7 Molluscs 7

species group 8 Moths 8

species group 9 Fish 9

species group 10 Plants 10

species group 11 Mushrooms 11

species group 12 Mosses and Lichens 12

species group 13 Other Arthropods (Arthropoda) 13

species group 14 Locusts and Crickets (Orthoptera) 14

species group 15 Bugs, Plant Lice and Cicadas 15

species group 16 Beetles 16

species group 17 Hymenoptera 17

species group 18 Diptera 18

species group 19 Algae, Seaweeds and other unicellular organisms 19

species group 20 Other Invertebrates 20

species group 30 Disturbances 30

Status N Not approved 0

Status J approved 0

Status O not investigated 0

Status I Review in progress 0

Status U Cannot be validated (yet) 0

Status A Approved, based on knowledge rules 0

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Lähetetty 22. marraskuuta 2020 21:52 käyttäjältä ahospers ahospers | 0 kommenttia | Jätä kommentti