Preparing for fieldwork

By which I mean, preparing for my fieldwork.. other people’s fieldwork has already begun. I’m helping!

Fieldwork in a field

I’m assisting with open field personality trials of chickadees captured for Megan’s work. This involves setting up cameras, then introducing a bird to a cage and recording the birds movements for 10 minutes (to see how long it took for the bird to contact all four corners of the cage), introducing a novel object to the cage (to see how long it took the bird to approach it)  then extracting the bird. This is the tricky bit.

I’m also preparing for my own fieldwork, prototyping new designs of RFID feeders:

Early experiment with new tubes, new anti-squirrel cages

The idea is that the opaque tube so that birds can’t necessarily tell if a feeder is empty or not. At the same time I’ve been setting up more RFID boards and building more antennae.

First I solder coils to plugs.

Then I half fill glass tubes with resin. This was mainly an exercise in stopping my hands sticking to the tubes! I then embedded the coil into the resin and then filled the remaining space with more resin.

 

 

 

 

 

 

 

Finally we attach these antennae to the feeding ports using more resin.

In other news, I’ve been partaking in another Canadian activity, I’ve been to my first ice hockey game! Oh, apparently the word “ice” is superfluous. Anyway, I went to the season opener, the Ottawa Senators vs the Toronto Blue Jays. It was very exciting!

 

 

 

 

 

 

 

Both sides scored 3, the Blue Jays goals all by the same person (apparently it was also his debut game too). Eventually it went to something like extra time, where Ottawa finally won. Definitely a very cool experience!

NAOC Washington

Image may contain: aeroplane, sky and outdoor

Passing the last ISBE location on the way

After a stint in the UK I was off to a different conference, this time closer to my (current) home in Washington DC. The North American Ornithological Conference 2016. My boss had been invited to speak in a social network symposium, and sent me along instead.

I was staying in the same hotel that the conference was in. It was somewhat fancier than the previous conference’s accommodation, which had been university halls.

I had a day before I started, so I did some sightseeing. Most of Washington’s tourist hot spots are conveniently within walking distance of each other.

Image may contain: people standing, sky, tree, grass, outdoor and nature

Image may contain: one or more people, sky, tree, plant, outdoor, nature and water

.. and so forth.

Before the conference officially began I attended a workshop on social networks, which was incredibly helpful in term of introducing me to new ways that social networks could be used and plotted. As I’ve said, I still feel I’m very new to social network analysis, and had been very focused on my own system. Both this workshop and the symposium I spoke in had so many different ways of applying network techniques, that would not have occurred to me otherwise.

The conference proper began the next day with a plenary from a NASA astronaut candidate

There were an enormous number of simultaneous talks, not to mention the hundreds of posters. It was a very well organised conference.

I wasn’t the only chickadee talk

Image may contain: one or more people, tree, plant, sky, outdoor and nature

The banquet was in the zoo!

 

Image may contain: outdoor

The day after the conference finished I managed to get around a few more of the Smithsonian museums (I’d done the air and space on the day before the conferences starts). Then it was time to head back to Ottawa. I’d been away for about a month.

I found both of these summer conference extremely valuable, in terms of thinking about future work and in generally being inspiring. Now however, back to work..

Chickadees are hard to take photos of

image

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.

chickadee

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.

IMG_3046

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.

IMG_3050

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:

12734285_10153563559802054_2903874915728631094_n

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

12718241_10153577600197054_8652879118166444072_n

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.

12742628_10153550946112054_1518076879411992022_n

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

IMG_0758almostashag?

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

IMG_0771Swan?

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:

IMG_20160120_104210059

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.

12572967_10153515288752054_7931590786820510579_n

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.

IMG_2971

We found many chickadees, but also a bald eagle!

eagle

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:

timbits

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.

IMG_2982Owl?

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?”

IMG_2990

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!

Gemeinsame Nahrungssuche bei Krähenscharben

headerOr, my new paper:

Social foraging European shags: GPS tracking reveals birds from neighbouring colonies have shared foraging grounds

has been published.

From the German translation of my title and abstract I have learnt that the German for shag is Krähenscharben. This paper based on my first year of fieldwork and data from the FAME project is now available from Journal of Ornithology! The paper looks at the movement and behaviour of shags foraging in the Isles of Scilly using high resolution GPS data, showing that most individuals forage in the same areas within the islands.

After the tale of woe that was my first year of fieldwork, it’s nice to see the data collected finally producing something tangible. The paper also uses some of my rafting dataset , which I hope to release a more detailed study of at some point in the future.

There is a full text version on Researchgate at some point in the future.

As stated at the bottom of the article, many people helped with this: A big thankyou to Richard Bufton, David Evans, Liz Mackley and the volunteers who assisted with data collection. Thanks to Vicky Heaney for population data and advice! Finally thanks to everyone at the Isles of Scilly wildlife trust for their invaluable assistance and for permission to work on the islands!

EDIT: Link to journal now fixed and full text now available on researchgate.

Virtual birds

A few months ago I gave a talk at the ASAB Easter conference in Sheffield about how I’m analysing the foraging rafts using collective behaviour. Of course, what with one thing and another, the work wasn’t as far along as I would have liked. After I got back from fieldwork and crunched the new data, I decided it was time to look at this work again.

One of the main reasons for pushing this work is that I am giving another talk on this at an international conference. In New York. In a few weeks. Do not let my restrained tones hide how terrified/excited I am about this.

The conference is ISBE, the Internation Society of Behavioural Ecologists. I applied for a talk back at the beginning of the year and several months later, here we are:

program

 

(Last talk of the day, hopefully some people will be awake)

I’d really better get some results together hadn’t I?

To recap what I had already done:

-Extracted positions of individual birds from video.

vlcsnap-00028-Tracked these individuals and then used these positions to create trajectories.

– Ran these trajectories through a correction matrix, to account for any distortions the camera might introduce

– Created code to remove unrealistic tracks.

– Wrote further functions that I can use to manually delete and merge tracks.

– Extracted the dive and surface events

dsplot

– Created various graphing functions, such as taking the corrected trajectories and plotting them back to their original positions to check my working.

vlcsnap-00030

What I have done in the last week (working frantically):

– Created a simulation based on zonal interaction models. Virtual birds that mooooooove.

– Wrote code that will compare the real data with my models, using things like radial density.

relpos– Added the ability for my virtual birds to DIVE.

– Modified simulation so the birds can react to these dive and surface events.

What am I doing now?

So the goal now is to produce results by choosing the simulation that best matches up with the data. In order to do this I need to choose the best “weight” for each of the things that might affect a birds movement (the effect of repulsion from other birds vs. the effect of attraction to other birds for example). I am currently exploring these weights manually, but eventually I need to run some code to optimise each of these weights for each piece of data.

I’d also like to add some more complicated diving rules (At the moment diving is totally random) where they will be influenced by other dives. I then need to come up with ways of checking this method of diving against the data, to determine how realistic this sort of behaviour is..

I fly out to New York in a few weeks. This is why I spend my weekends locked in the office.

Just to finish up here is a video from one of my early simulations with some random parameters. Those birds can’t seem to get away from each other fast enough! I suspect they might also need a bit more autonomous movement to stop them doing the crazy little dance when they can’t find other birds.

 

 

St. Agnes

I’ve been spending a few days on St. Agnes, sorting out a couple of MSc students, Anna and Lucy who arrived on Monday. After the storm on Saturday which managed to ground the undergraduates, I have to confess I was a little nervous about the impression the Isles of Scilly might make on them.

As it happened, it looked like this:

ag1

ag2

Well, that’s the Scillies for you!

After getting them set up on the campsite, the real work began. Lucy and Anna are carrying out very similar work to my study last year, but around St Agnes. This allows us to fill in some areas on our maps of rafting behaviour that I couldn’t observe from St Mary’s, but knew rafts formed. So on Monday afternoon we began to work out patrols around the perimeter of the island and decide on appropriate observation points on those patrol routes.

Then we had a barbecue. It’s tough in the field sometimes!

I stayed with my friend Bob, who I first met staying in the Woolpack in my first year of fieldwork, working on land-bird surveys. I believe he was supposed to stay for 6 months, but the Isles do have a habit of grabbing people.

The next day was once again stupidly sunny, but we couldn’t stop to enjoy it. There was more island to be walked and methodology to be learned. And I spotted our first rafts of the season, which Anna and Lucy proceeded to practice observing.

ag3

With some help..

ag4

Guys! Guys! Hey guys! Whaddya looking at?

ag5

Oooo, birds.

I returned to St Mary’s today and tomorrow must continue my own fieldwork. Though there was a brief reality check this morning, with some standard Scillies wind and drizzle, the sun came out again this afternoon. If this continues, I’m going to need a stronger sunscreen!

a6