Tag: Oregon Coast

Gray Whale Goofs

Hello there!  Florence here, signing in from Newport.  We had a fantastic trip south to Port Orford, and tracked another 53 whales bringing our season total up to 117 so far! This morning, we were back out at Boiler Bay and spent 5 hours staring at empty water – in keeping with the theme of this post, field work does not always go as planned.

Our two study areas couldn’t be more different.  At the Boiler Bay State Wayside, we are approximately 18 meters off the water.  In Port Orford, we are perched on the side of a 63 meter tall cliff. This extra height greatly increases our range and accuracy as well as changing the angle of our photography and the type of photo analysis we can do.  We’re quite excited to have a top down view of our whales, because the photos we are capturing will allow us to use certain photogrammetry techniques to measure the length and girth of the individuals.  With luck, when we compare the photos from the beginning of the season (now) to the end of our study (September) we may be able to see a change in the height of the post-cranial fat deposit, which would indicate a successful foraging season.  Gray whales do not eat from the beginning of their southward migration, through the breeding and calving season, until they reach productive foraging grounds at the end of their northward migration.  This means that all their sustenance for 6+ months is derived from their summer foraging success.  Did you know that they even generate their own water through an oxidation reaction which creates ‘metabolic water’ from their blubber stores?  So it will be rather fantastic if we manage to measure the change in whale body condition over the course of the summer – particularly if we are able to spot any mother-calf pairs who will have had an especially grueling journey north.

A foraging behavior where the whale turns on its side in shallow water. The triangle of the fluke resembles a shark fin
Sharking: A foraging behavior where the whale turns on its side in shallow water. The triangle of the fluke resembles a shark fin

So, while our photo database is advancing nicely, technical difficulties are to be expected when you’re in the field, and sometimes, troubleshooting takes longer than you would like it to.  This evening, let me introduce you to the elusive species known as ‘the Chinese land whale.’  It is a very rare breed which spontaneously generates itself from misaligned computer files.

When the theodolite beeps as we ‘mark’ a whale, a pair of horizontal and vertical angles are getting sent from the machine to a program called ‘Pythagoras’ on the laptop. Given our starting coordinates and a few other variables, the program auto-calculates for us the latitude and longitude of that whale.  While we hoped it would be a simple matter to upload these coordinates to Google Earth to visualize the tracklines, it turns out that Pythagoras stores the East/West hemisphere information in a separate column, so if we just plot the raw numbers, our whale tracks end up in the middle of a field in rural China! Hence, the rare ‘Chinese land whale’.  Now that we know the trick, it is not so difficult to fix, but we were quite surprised the first time it happened!

If you dont have your hemisphere correctly labeled, you end up in China instead of Oregon.
If you don’t have your hemisphere correctly labeled, you end up in China instead of Oregon.

Of course, that is not the only thing that has gone wrong with visualizing the tracklines.  When we first got to Graveyard Point survey site, it turns out that we had set our azimuth (our reference angle) the wrong direction from true north, so all our whales seemed to be foraging near the fish and chips restaurant in the middle of town.

If the azimuth is incorrectly referenced, you might end up on land instead of in the water.
If the azimuth is incorrectly referenced, you might end up on land instead of in the water.

After discovering that in order to rotate something 180degrees, you simply need to alter the azimuth angle by 90degrees, (we’re still not sure why this is working), the whales left the fish and chips to us and returned to the harbor.  Anyways, now that we’ve figured out these glitches, we can focus on identifying individual whales, and figuring out which track-lines might be repeat visitors.

Once all the kinks got worked out - the real trackline! Dont worry, whale 60 did not go through the jetty, thats an artifact of the program wanting to draw straight lines from point a to b. more likely we simply missed a surface as it transited around the point of the jetty.
Once all the kinks got worked out – the real trackline! Dont worry, whale 60 did not go through the jetty, thats an artifact of the program wanting to draw straight lines from point a to b. more likely we simply missed a surface as it transited around the point of the jetty.

In other outreach news, the OSU media department came out to the field and interviewed us a few weeks ago (on a day that the theodolite and computer were refusing to talk to each other due to a faulty connector cable – which is always delightful when one is trying to showcase research in progress). The resulting article has been posted should you wish to take a look:

http://oregonstate.edu/ua/ncs/archives/2015/aug/researchers-studying-oregon%E2%80%99s-%E2%80%9Cresident-population%E2%80%9D-gray-whales

More shallow sharking behavior
More shallow sharking behavior
Well known for having the shortest, toughest baleen of any of the great whales, here you can see the plates in its mouth!
Well known for having the shortest, toughest baleen of any of the great whales, here you can see the plates in its mouth!

Until next time,

Team Ro”buff”stus

Following Tracks: A Summer of Research in Quantitative Ecology

**GUEST POST** written by Irina Tolkova from the University of Washington.

R, a programming language and software for statistical analysis, gives me an error message.

I mull it over. Revise my code. Run it again.

Hey, look! Two error messages.

…

I’m Irina, and I’m working on summer research in quantitative ecology with Dr. Leigh Torres in the GEMM Lab. Ironically, as much as I’m interested in the environment and the life inhabiting it, my background is actually in applied math, and a bit in computer science.

vl-dsc04212

(Also, my background is the sand dunes of Florence, OR, which are downright amazing.)

When I mention this in the context of marine research, I usually get a surprised look. But from firsthand experience, the mindsets and skills developed in those areas can actually be very useful for ecology. This is partly because both math and computer science develop a problem-solving approach that can apply to many interdisciplinary contexts, and partly because ecology itself is becoming increasingly influenced by technology.

Personally, I’m fascinated by the advancement in environmentally-oriented sensors and trackers, and admire the inventors’ cleverness in the way they extract useful information. I’ve heard about projects with unmanned ocean gliders that fly through the water, taking conductivity, temperature, depth measurements (Seaglider project by APL at the University of Washington), which can be used for oceanographic mapping. Arrays of hydrophones along the coast detect and recognize marine mammals through bioacoustics (OSU Animal Bioacoustics Lab), allowing for analysis of their population distributions and potentially movement. In the GEMM lab, I learned about light and small GPS loggers, which can be put on wildlife to learn about their movement, and even smaller lighter ones that determine the animal’s general position using the time of sunset and sunrise. Finally, scientists even made artificial nest mounds which hid a scale for recording the weight of breeding birds — looking at the data, I could see a distinctive sawtooth pattern, since the birds lost weight as they incubated the egg, and gained weight after coming home from a foraging trip…

On the whole, I’m really hopeful for the ecological opportunities opened up by technology. But the information coming in from sensors can be both a blessing and a curse, because — unlike manually collected data — the sample sizes tend to be massive. For statistical analysis, this is great! For actually working with the data… more difficult. For my project, this trade-off shows as R and Excel crash over the hundreds of thousands of points in my dataset… what dataset, you might ask? Albatross GPS tracking data.

In 2011, 2012, and 2013, a group of scientists (including Dr. Leigh!) tagged grey-headed albatrosses at Campbell Island, New Zealand, with small GPS loggers. This was done in the summer months, when the birds were breeding, so the GPS tracks represent the birds’ flights as they incubated and raised their chicks. A cool fact about albatrosses: they only raise one chick at a time! As a result, the survival of the population is very dependent on chick survival, which means that the health of the albatrosses during the breeding season, and in part their ability to find food, is critical for the population’s sustainability. So, my research question is: what environmental variables determine where these albatrosses choose to forage?

The project naturally breaks up into two main parts.

  • How can we quantify this “foraging effort” over a trajectory?
  • What is the statistical relationship between this “foraging effort metric” and environmental variables?

Luckily, R is pretty good for both data manipulation and statistical analysis, and that’s what I’m working on now. I’ve just about finished part (1), and will be moving on to part (2) in the coming week. For a start, here are some color-coded plots showing two different ways of measuring the “foraging value” over one GPS track:

track89518

Most of my time goes into writing code, and, of course, debugging. This might sound a bit dull, but the anticipation of new results, graphs, and questions is definitely worth it. Occasionally, that anticipation is met with a result or plot that I wasn’t quite expecting. For example, I was recently attempting to draw the predicted spatial distribution of an albatross population. I fixed some bugs. The code ran. A plot window opened up. And showed this:

pretty_circles

I stared at my laptop for a moment, closed it, and got some hot tea from the lab’s electronic kettle, all the while wondering how R came up with this abstract art.

All in all, while I spend most of my time programming, my motivation comes from the wildlife I hope to work for. And as any other ecologist, I love being out there on the Oregon coast, with the sun, the rain, sand, waves, valleys and mountains, cliff swallows and grey whales, and the rest of our fantastic wild outdoors.

SONY DSC

Irina5

Surveying Harbor Porpoises on the Oregon Coast!

Hello Gemm lab readers!

Spring has officially made it to the Oregon coast.  The smells of blooming flowers are lingering in the air at the Hatfield Marine Science Center (HMSC), the seagulls are hovering around our afternoon BBQ’s, the local whale watching tour boats are zipping through the jetty’s to catch sight of all the whales still hovering in the area, and my team and I are right behind them as the field season is upon us in full force!

My name is Amanda Holdman and I am a master’s student in the Oregon State University’s Department of Fisheries and Wildlife and Marine Mammal Institute. Our lab, the geospatial ecology of marine megafuana, or GEMM lab for short, focuseharbor-porpoises_569_600x450s on the ecology, behavior and conservation of marine megafauna including cetaceans, pinnipeds, seabirds, and sharks. My research in particular is centered around the cetacean species that inhabit Oregon’s near coastal waters. While the cetacean order includes over 80 species, 30 of which can be found in Oregon, I am specifically targeting the small and charismatic harbor porpoise! I am hoping to answer questions about seasonal and diel patterns, and the drivers of these patterns to create a better understanding of the porpoise community off the coast of Newport.

To accomplish this, I have been using a couple different survey methods! Over the last year or so I have been conducting marine mammal visual surveys with a crew of observers, binoculars, cameras and lifejackets.  We’ve been very fortunate to work alongside and partner up with a number of labs and projects taking place at HMSC — including Sarah Henkel’s Benthic Ecology Lab, Jay Peterson’s Zooplankton Ecology Project, and Rob Suryan’s Seabird Oceanography Lab — who’ve invited us to share their boat time and join in on cruises to spot marine mammals. We had some motivating cruises with last year’s field season (bow riding pacific white sided dolphins and a possible fin whale sighting!) but now that the summer season is around the corner, It’s time to recruit additional observers and get everyone up to date on their safety certifications (at sea safety, first aid, etc.)

10511604_10152778085291070_5111035247949699751_o

Porpoise-1

While we currently have about 6-8 boat trips a month, I am not only just looking  for harbor porpoises, I’m also listening for them. To complement the visual surveys, I’ve added an acoustic component to my research, with the help of the Oregon State Research Collective for Applied Acoustics lab (ORCAA). This allows me to survey for harbor porpoises even under the worst sea conditions, when boat trips are unavailable. Odontocetes, such as the harbor porpoise use echolocation to navigate and forage and can be identified acoustically by their frequency range. While a full-depth analysis of last summer’s data hasn’t yet been accomplished, I was able to take a quick peek and MAN IT LOOKS GOOD! Both harbor porpoise and killer whale vocalizations were identified – you can check out the spectrogram below! This combination of using visual and acoustic surveys will help us answer when the porpoises are in our near waters, and where there primary hang-outs are!

REEF-20140612-231045
Visual representation of an echolocation clicks emitted by a feeding harbor porpoise

But springtime isn’t just for fieldwork, it’s also for course work! This quarter, my lab mate Erin Picket and I have enrolled into Julia Jones “Arcaholics anonymous” class, an introductory spatial statistics and GIS course that helps us piece together all the hard work we’ve put towards data collection to look for trends of animal distributions across space and time. This is the first time for both of us that we  get to upgrade our excel spreadsheets into a visual representation of our data! There will be more updates to come soon on how our projects are unfolding, but if you can’t wait til then, feel free to follow along with our class website!