Chickadees are hard to take photos of

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See?

I think I’ve been in Canada almost two months now. It’s hard to say as the initial turmoil of moving to a new country slowly changes into everyday routine. This generally involves getting up, trying to do some science until some time in the evening and drinking far too much tea.

I’ve met my study species properly now. A few weekends ago we went for a walk at a place called Muddy Lake (currently frozen and definitely not muddy). When walking along the paths you will generally be followed by a cloud of chickadees, who live in hope that you will be one of the many people that feed them. They whiz around your head, dancing from branch to branch, waiting for the food to be provided. If you DO have food, they will quite cheerfully eat out of your hand.

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Despite their tameness taking a photo of them in a more natural setting is challenging, due to their dislike of sitting still for more than a second.

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As well as having met my study species properly, I’ve also been working to get to grips with both social network analysis and the study of personality in animals. I had a passing interest in both of these topics before, but now I’m having to rapidly learn about how these analyses are done.

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Chickadees are highly social and tend to move about in small flocks. We have information about which birds were with which other birds at feeders.This is generated by special feeders which can identify individual birds fitted with RFID readers.

Picture1An RFID feeder, photo by Teri Jones

We also have information about how certain birds reacted to personality tests as well as which birds are dominant and which are subordinate. There are quite a few interesting questions we could answer by bringing these datasets together. Wrangling the various files together is and working out how to analyse them is the main thing I’m currently dealing with. This involves spending a lot of time shuffling data about in R. I’m also trying to automate and improve some of the workflow for generating this type of data.

We’ve  had a few quite heavy snowfalls. This was my building the day after a particularly severe one:

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and this was the window to our office on the same day as the sun was steadily blotted out:

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A few weeks ago I gave a departmental seminar on my ENTIRE PHD. This involved talking for longer than I ever had before, which made it very easy to lose track of time. I was extremely afraid of speaking for too long and boring everyone to death.

Picture2So many slides!

I felt it went quite well. My main mistake was towards the end. I glanced at a clock (the WRONG clock) as it turned out and was convinced I’d gone overtime. I sped up for the last few slides (which is unfortunate as they are the most interesting) and then apologised at the end for speaking for so long. As it turned out, I’d looked at the wrong clock and came in under time. At least it left lots of time for the many questions, which hopefully indicate that people are interested in what I spent about four years of life doing.

I have been finding time to try and do some more CANADIAN things. For example, I’ve now tried Poutine which according to Wikipedia is Canada’s national food. It’s basically chips, cheese and gravy. I think that undersells it, it’s warm, tasty, cheesy, potatoey goo.

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I also ambled up to Winterlude (a winter festival thing held in Ottawa), where the international ice sculpture championship:IMG_0759OWL

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This included a demonstration of ice carving, which is apparently mostly done with powertools now!

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I clearly need to find some more CANADIAN things to do. Someone mentioned something called Nanaimo bars..

 

Snowy owls, snowmobile trails and beaver tails

So I think I’ve been in Canada for nearly two weeks now. I am gradually learning things.

For example, when someone talks about getting beaver tails, they actually mean some sort of delicious pastry:

beavertailDEEP FRIED BEAVER!

I also learned how to write some basic video analysis stuff in python, and that a single chickadee in a controlled environment is an easier thing to track than multiple shags on the ocean:vlcsnap-2016-01-23-23h49m11s193I learnt that they deliberately thicken the ice here:

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This is so the canal (which I walk along on the way to the office) can be turned into a massive ice skating rink. It opened for the first time today. I saw many people gliding effortlessly along, as well as some children being dragged along on sleds, which looks more my speed.  Since I got here I have occasionally been asked if I skate, to which I give a rueful laugh. I don’t think me and skates would really mix.

Another thing I learned is that batteries drain very quickly in the cold weather. Today myself and the grad students in my research group went to see if our lab vehicle still worked after sitting in a garage for a month or so. The answer was, it didn’t.

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Battery is flat.

However once a man from the Canadian AA turned up and jump started it, the car had to be driven somewhere to charge the battery. So I got to go on jaunt to one of the field sites where chickadees are studied, alongside a snowmobile trail. This was great as I was keen to get out of the city and see some Canadian countryside, and see some chickadees in the wild.

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We found many chickadees, but also a bald eagle!

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Eeeeeeagle!

Shortly after seeing this I left the trail to go and look at a heap of rusty farm machinery buried in the snow. When I came back to the path, I knew something was afoot. It was then that I learnt that Canadian ambushes are exceptionally polite, as I was warned I might want to put my binoculars away:

12615379_10208372060120941_7821439240601366873_oArg! (Photo by Teri Jones)

It was then decided that we would head back toward Ottawa and try and find some snowy owls that had been reported in the area. On the way we would stop for “Timbits”. I did not know who Tim was, or the answers to any related questions. I found out:

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It seems that Timbits are a big box full of the centres of various doughnuts! These tided us by as we headed toward where we might find snowy owls.

We stopped at the edge of a field in the general area where the owls had been seen. We all climbed out of the car and had a general scan of the trees and hedgerows. Nothing. We got back in the car to try a different spot. This was rather similar to my previous experience of attempting to see specific birds, so I wasn’t overly hopeful about finding a snowy owl in an expanse of snowy fields.

Then Shannon who had been looking out of the moving car with her binoculars (I am fairly certain doing this would make me carsick) suddenly spotted something on an electricity pylon in the middle of a field. We parked as close as we could to have a look. The post was quite a distance from the road, but through our binoculars we could clearly see a snowy owl! I had never even seen an owl in daylight, let alone that clearly.

I tried to get a picture but even at maximum zoom it wasn’t enormously clear.

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Still, the view through the binoculars was great. We stood and watched the owl for a bit, before deciding to head back down the road to try and find the female that was also supposed to be about. Once again I was sceptical. I think I’d just said finished muttering something along those lines when I suddenly has to ask:

“What’s that on the post?”

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There, on a post right next to the road was another snowy owl. We parked up right next to it, getting a much better view than before. I decided I had to try and take a photo.

It was at this point was once again reminded that batteries drain incredibly fast in the cold. Like the car earlier, my camera refused to start up. I fumbled with the various spare batteries. None of them worked. This was absolutely typical but luckily the owl was fairly accomodating. Eventually through luck and the strategic warming up the batteries, my camera finally fired up:

owl1OWL!

Tomorrow: statistics course!