
03:04:03
Does the Dennis et al. (2016) method represent an improvement to the Schmucki et al.' s Regional GAM method? Or they are basically the same?

03:04:03
Thanks Reto, will check!

03:04:38
I am doing everything in dplyr so I probably made a mistake somewhere ... :-D

03:07:14
Hi Andreu - it's a merge of the two really - describing phenology climatically as in Schmucki et al but using the more efficient Dennis et al method

03:09:09
Thanks!

03:19:52
Perhaps I am too quick, but in the European tend analysis within region is latitude taken into account when determining the flight phenology per species?

03:23:55
Within a climate region is assumed to be the same. As far as I know altitude is not included as well.

03:24:24
Yes that's right - although it would be possible.

03:24:59
Would be worth to try?

03:25:45
As the climate regions are geographical (so the result of clustering), I guess the effect of altitude would be more important than latitude.

03:26:07
Or better: differences in altitude within a climate region

03:27:29
Our experience is that generally the small improvements to the flight period do not make much difference at the later stages of the GAI. But if flight periods are the main interest then it is worth complicating the model

03:28:09
Ah, so you tested the potential improvements. Thanks.

03:29:07
Not formally, but it would good thing to do......maybe you have time :-)

03:29:22
Ok, a challenge...

03:29:43
...in Corona times.

03:30:00
:-)

03:37:04
For those of us with a large latitude range, it would be interesting to hear a bit about how/when to take that into account (for instance, orange tip stops flying in mid June in the South and in late July up North

05:03:50
Thanks for the reminder about recording

05:04:32
Thank you!

05:05:49
When 2 visits (transect counts) fall on the same week (i.e. say Mon + Sun) >> you take it into account when preparing your data for analysis?

05:07:14
Emily or Reto can confirm but when working on weekly data and there are multiple visits then the average counts per species are taken

05:08:05
or you can work with TimeUnit = 'd'

05:14:06
@Reto can you talk a bit louder?

05:17:58
There was a problem when I was entering the transect data into our online data base. I can enter species names but I can not enter no of individuals for per species. I still have the data. So may be later I will contact with David Roy to help me with this. Because it is important to be able to analyse the abundance.

05:18:29
hi Ozge, shall we have a separate Zoom meeting to discuss?

05:18:57
Later this week?

05:19:10
yes please

05:21:52
Friday afternoon Cyprus time 15.00 is ok with me. If it is ok with you, I am happy to learn. So it is 13.00 UK time.

05:23:09
That is good for me, I will setup a Zoom and send you a link and appointment for that time. If anyone else wants a follow-up discussion about anything BMS-related we can also arrange

05:24:46
Thank you so much.

05:25:47
How is the weight of the data done exactly?

05:26:16
based on how well the flight season is covered by counts

06:16:03
Q1 is the plan to include the workshop functions in embs or BRCindicators (i.e. to have them documented & vignetted)?

06:16:21
It would be very good if we can get recordings. Because we can pause the recording and run R with our data easily. This was very nice, but some things it was too fast to catch up.

06:17:25
I’m also interested into get recordings.

06:17:34
Q2 I am still concerned about phenology, we have species that may have 3 generations in the South and one in the North. I am worried that the filtering against the flight curve might cut out or severely limit the Northern observations

06:17:36
Also in some of the presentations there were some suggested papers we can read. Is it possible to send us list of important papers, so we can read later and learn.

06:19:52
Any in-depth studdy/knowledge on how well geographical regions work for the newly accessing BMS's? Eg. which new BMS's data can be used together (joined) to complement each other's data when calculating trends etc.?If not yet looked into: any plans to do it?

06:22:10
It was very nice online workshop anyway. Very useful information on data analysis. Thanks a lot for making it possible.

06:25:59
Great job Emily and Reto! Many thanks ...

06:26:51
yes well done!!! thanks

06:27:37
Yes, thank you for this workshop. Very useful, and a lot to process now !

06:28:11
It was very usefull and I enjoyed it. Thanks!

06:29:15
Thank you very much for this useful workshop! :-)

06:29:27
Very happy I could join. Very useful, thank you!!

06:29:49
It was very interesting. Thanks a lot! Pity of the Wagingen beer indeed.

06:29:53
Thank you very much for organizing the workshop and preparing the material!

06:29:57
Great workshop, many thanks!

06:29:59
Thank you all for the workshop >> it was useful and as smooth as it gets :-)

06:30:06
Thanks a lot!

06:30:14
Thank you, it was really usefull!

06:30:16
Thank you for this great workshop!

06:30:20
Merci !! It was very overwhelming to learn and see people from all europe :)

06:30:23
Would be good to have some follow up!

06:30:26
Many thanks

06:30:31
Thank you very much! I am happy that I could join the meeting! Now I need to tame the functions and to become familar with them :-)

06:30:39
Thank you very much. I’m hope to take part of this workshops. Now is time to put every thing in practice at home. Best regards!

06:30:42
Thanks! That was very good. Bye!

06:30:43
Thanks for the great workshop! Super helpful:)

06:30:48
Thanks a lot for everything!

06:30:59
Thanks for the presentations!!

06:31:16
thank you for everything! Really nice and useful meeting

06:32:19
The material uploaded on the website is very useful! thanks for your efforts 👍