By Dawn Barlow, PhD student, Department of Fisheries & Wildlife, Geospatial Ecology of Marine Megafauna Lab
When people hear that I study blue whales, they often ask me questions about what it’s like to be close to the largest animal on the planet, where we do fieldwork, and what data we are interested in collecting. While I love time at sea, my view on a daily basis is rarely like this:
More often than not, it looks something like this:
In my application letter to Dr. Leigh Torres, I wrote something along the lines of “while I relish remote fieldwork, I also find great satisfaction in the analysis process.” This statement is increasingly true for me as I grow more proficient in statistical modeling and computer programming. When excitedly telling my family about how I am trying to model relationships between oceanography, krill, whales, and satellite imagery, I was asked what I meant by “model”. Put simply, a model is a formula or equation that we can use to describe a pattern. I have been told, “all models are wrong, but some models work.” What does this mean? While we may never know exactly every pattern of whale feeding behavior, we can use the data we have to describe some of the important relationships. If our model performance is very good, then we have likely described most of what drives the patterns we see. If model performance is poor, then there is more to the pattern that we have not yet captured in either our data collection or in our analytical methods. Another common saying about models is, “A model is only ever as good as the data you put into it.” While we worked hard during field seasons to collect a myriad of data about what could be influencing blue whale distribution patterns, we inevitably could not capture everything, nor do we know everything that should be measured.
So, how do you go about finding the ‘best’ model? This question is what I’ve been grappling with over the last several weeks. My goal is to describe the patterns in the krill that drive patterns in whale distribution, the patterns in oceanography that drive patterns in the krill, and the patterns in the oceanography that drive patterns in whale distribution. The thing is, we have many metrics to describe oceanographic patterns (surface temperature, mixed layer depth, strength of the thermocline, integral of fluorescence, to name just a few), as well as several metrics to describe the krill (number of aggregations, aggregation density, depth, and thickness). When I multiplied out how many possible combinations of predictor variables and parameters we’re interested in modeling, I realized this meant running nearly 300 models in order to settle on the best ten. This is where programming comes in, I told myself, and caught my breath.
I’ve always loved languages. When I was much younger, I thought I might want to study linguistics. As a graduate student in wildlife science, the language I’ve spent the most time learning, and come to love, is the statistical programming language R. Just like any other language, R has syntax and structure. Like any other language, there are many ways in which to articulate something, to make a particular point or reach a particular end goal. Well-written code is sometimes described as “elegant”, much like a well-articulated piece of writing. While I certainly do not consider myself “fluent” in R, it is a language I love learning. I like to think that the R scripts I write are an attempt to eloquently uncover and describe ecological patterns.
Rather than running 300 models one by one, I wrote an R script to run many models at a time, and then sort the outputs by model performance. I may look at the five best models of 32 options in order to select one. But this is where Leigh reminds me to step back from the programming for a minute and put my ecologist hat back on. Insight on the part of the modeler is needed in order to discern between what are real ecological relationships and what are spurious correlations in the data. It may not be quite as simple as choosing the model with the highest explanatory power when my goal is to make ecological inferences.
So, where does this leave me? Hundreds of models later, I am still not entirely sure which ones are best, although I’ve narrowed it down considerably. My programming proficiency and confidence continue to grow, but that only goes so far in ecology. Knowledge of my study system is equally important. So my workflow lately goes something like this: write code, try to interpret model outputs, consider what I know about the oceanography of my study region, re-write code, re-interpret the revised results, and so on. Hopefully this iterative process is bringing us gradually closer to an understanding of the ecology of blue whales on a foraging ground… stay tuned.
By Alexa Kownacki, Ph.D. Student, OSU Department of Fisheries and Wildlife, Geospatial Ecology of Marine Megafauna Lab
It all started with a paper. On Halloween, I sat at my desk, searching for papers that could answer my questions about bottlenose dolphin metabolism and realized I had forgotten to check my email earlier. In my inbox, there was a new message with an attachment from Dr. Leigh Torres to the GEMM Lab members, saying this was a “must-read” article. The suggested paper was Martin A. Schwartz’s 2008 essay, “The importance of stupidity in scientific research”, published in the Journal of Cell Science, highlighted universal themes across science. In a single, powerful page, Schwartz captured my feelings—and those of many scientists: the feeling of being stupid.
For the next few minutes, I stood at the printer and absorbed the article, while commenting out loud, “YES!”, “So true!”, and “This person can see into my soul”. Meanwhile, colleagues entered my office to see me, dressed in my Halloween costume—as “Amazon’s Alexa”, talking aloud to myself. Coincidently, I was feeling pretty stupid at that moment after just returning from a weekly meeting, where everyone asked me questions that I clearly did not have the answers to (all because of my costume). This paper seemed too relevant; the timing was uncanny. In the past few weeks, I have been writing my PhD research proposal —a requirement for our department— and my goodness, have I felt stupid. The proposal outlines my dissertation objectives, puts my work into context, and provides background research on common bottlenose dolphin health. There is so much to know that I don’t know!
When I read Schwartz’s 2008 paper, there were a few takeaway messages that stood out:
People take different paths. One path is not necessarily right nor wrong. Simply, different. I compared that to how I split my time between OSU and San Diego, CA. Spending half of the year away from my lab and my department is incredibly challenging; I constantly feel behind and I miss the support that physically being with other students provides. However, I recognize the opportunities I have in San Diego where I work directly with collaborators who teach and challenge me in new ways that bring new skills and perspective.
Drawing upon experts—albeit intimidating—is beneficial for scientific consulting as well as for our mental health; no one person knows everything. That statement can bring us together because when people work together, everyone benefits. I am also reminded that we are our own harshest critics; sometimes our colleagues are the best champions of our own successes. It is also why historical articles are foundational. In the hunt for the newest technology and the latest and greatest in research, it is important to acknowledge the basis for discoveries. My data begins in 1981, when the first of many researchers began surveying the California coastline for common bottlenose dolphins. Geographic information systems (GIS) were different back then. The data requires conversions and investigative work. I had to learn how the data were collected and how to interpret that information. Therefore, it should be no surprise that I cite literature from the 1970s, such as “Results of attempts to tag Atlantic Bottlenose dolphins, (Tursiops truncatus)” by Irvine and Wells. Although published in 1972, the questions the authors tried to answer are very similar to what I am looking at now: how are site fidelity and home ranges impacted by natural and anthropogenic processes. While Irvine and Wells used large bolt tags to identify individuals, my project utilizes much less invasive techniques (photo-identification and blubber biopsies) to track animals, their health, and their exposures to contaminants.
Struggling is part of the solution. Science is about discovery and without the feeling of stupidity, discovery would not be possible. Feeling stupid is the first step in the discovery process: the spark that fuels wanting to explore the unknown. Feeling stupid can lead to the feeling of accomplishment when we find answers to those very questions that made us feel stupid. Part of being a student and a scientist is identifying those weaknesses and not letting them stop me. Pausing, reflecting, course correcting, and researching are all productive in the end, but stopping is not. Coursework is the easy part of a PhD. The hard part is constantly diving deeper into the great unknown that is research. The great unknown is simultaneously alluring and frightening. Still, it must be faced head on. Schwartz describes “productive stupidity [as] being ignorant by choice.” I picture this as essentially blindly walking into the future with confidence. Although a bit of an oxymoron, it resonates the importance of perseverance and conviction in the midst of uncertainty.
Now I think back to my childhood when stupid was one of the forbidden “s-words” and I question whether society had it all wrong. Maybe we should teach children to acknowledge ignorance and pursue the unknown. Stupid is a feeling, not a character flaw. Stupidity is important in science and in life. Fascination and emotional desires to discover new things are healthy. Next time you feel stupid, try running with it, because more often than not, you will learn something.
By Dominique Kone, Masters Student in Marine Resource Management
Over the past year, the GEMM Lab has been investigating the ecological factors associated with a potential sea otter reintroduction to Oregon. A potential reintroduction is not only of great interest to our lab, but also to several other researchers, managers, tribes, and organizations in the state. With growing interest, this idea is really starting to gain momentum. However, the best path forward to making this idea a reality is somewhat unknown, and will no doubt take a lot of time and effort from multiple groups.
In an effort to catalyze this process, the Elakha Alliance – led by Bob Bailey – organized the Oregon Sea Otter Status of Knowledge Symposium earlier this month in Newport, OR. The purpose of this symposium was to share information, research, and lessons learned about sea otters in other regions. Speakers – primarily scientists, managers, and graduate students – flew in from all over the U.S. and the Canadian west coast to share their expertise and discuss various factors that must be considered before any reintroduction efforts begin. Here, I review some of the key takeaways from those discussions.
To start the meeting, Dr. Anne Salomon – an associate professor from Simon Fraser University – and Kii’iljuus Barbara Wilson – a Haida Elder – gave an overview of the role of sea otters in nearshore ecosystems and their significance to First Nations in British Columbia. Hearing these perspectives not only demonstrated the various ecological effects – both direct and indirect – of sea otters, but it also illustrated their cultural connection to indigenous people and the role tribes can play (and currently do play in British Columbia) in co-managing sea otters. In Oregon, we need to be aware of all the possible effects sea otters may have on our ecosystems and acknowledge the opportunity we have to restore these cultural connections to Oregon’s indigenous people, such as the Confederated Tribes of Siletz Indians.
The symposium also involved several talks on the recovery of sea otter populations in other regions, as well as current limitations to their population growth. Dr. Lilian Carswell and Dr. Deanna Lynch – sea otter and marine conservation coordinators with the U.S. Fish & Wildlife Service – and Dr. Jim Bodkin – a sea otter ecologist – provided these perspectives. Interestingly, not all stocks are recovering at the same rate and each population faces slightly different threats. In California, otter recovery is slowed by lack of available food and mortality due to investigative shark bites, which prevents range expansion. In other regions, such as Washington, the population appears to be growing rapidly and lack of prey and shark bite-related mortality appear to be less important. However, this population does suffer from parasitic-related mortality. The major takeaway from these recovery talks is that threats can be localized and site-specific. In considering a reintroduction to Oregon, it may be prudent to investigate if any of these threats and population growth limitations exist along our coastline as they could decrease the potential for sea otters to reestablish.
Dr. Shawn Larson – a geneticist and ecologist from the Seattle Aquarium – gave a great overview of the genetic research that has been conducted for historical (pre-fur trade) Oregon sea otter populations. She explained that historical Oregon populations were genetically-similar to both southern and northern populations, but there appeared to be a “genetic gradient” where sea otters near the northern Oregon coast were more similar to northern populations – ranging to Alaska – and otters from the southern Oregon coast were more similar to southern populations – ranging to California. Given this historic genetic gradient, reintroducing a mixture of sea otters – subsets from contemporary northern and southern stocks – should be considered in a future Oregon reintroduction effort. Source-mixing could increase genetic diversity and may more-closely resemble genetic diversity levels found in the original Oregon population.
At the end of the meeting, an expert panel – including Dr. Larson, Dr. Bodkins, Dr. Lynch, and Dr. Carswell – provided their recommendations on ways to better inform this process. To keep this brief, I’ll discuss the top three recommendations I found most intriguing and important.
Gain a better understanding of sea otter social behavior. Sea otters have strong social bonds, and previous reintroductions have failed because relocated individuals returned to their capture sites to rejoin their source populations. While this site fidelity behavior is relatively understood, we know less about the driving mechanisms – such as age or sex – of those behaviors. Having a sound understanding of these behaviors and their mechanisms could help to identify those which may hinder reestablishment following a reintroduction.
When anticipating the impacts of sea otters on ecosystems, investigate the benefits too. When we think of impacts, we typically think of costs. However, there are documented benefits of sea otters, such as increasing species diversity (Estes & Duggins 1995, Lee et al. 2016). Identifying these benefits – as well as to people – would more completely demonstrate their importance.
Investigate the human social factors and culture in Oregon relative to sea otters, such as perceptions of marine predators. Having a clear understanding of people’s attitudes toward marine predators – particularly marine mammals – could help managers better anticipate and mitigate potential conflicts and foster co-existence between otters and people.
While much of the symposium was focused on learning from experts in other regions, I would be remiss if I didn’t recognize the great talks given by a few researchers in Oregon – including Sara Hamilton (OSU doctoral student), Dr. Roberta Hall (OSU emeritus professor), Hannah Wellman (University of Oregon doctoral student), and myself. Individually, we spoke about the work that has already been done and is currently being done on this issue – including understanding bull kelp ecology, studying sea otter archaeological artifacts, and a synthesis of the first Oregon translocation attempt. Collectively, our talks provided some important context for everyone else in the room and demonstrated that we are working to make this process as informed as possible for managers. Oregon has yet to determine if they will move forward with a sea otter reintroduction and what that path forward will look like. However, given this early interest – as demonstrated by the symposium – we, as researchers, have a great opportunity to help guide this process and provide informative science.
Estes, J. A. and D. O. Duggins. 1995. Sea otters and kelp forests in Alaska: generality and variation in a community ecological paradigm. Ecological Monographs. 65: 75-100.
Lee, L. C., Watson, J. C., Trebilco, R., and A. K. Salomon. 2016. Indirect effects and prey behavior mediate interactions between an endangered prey and recovering predator. Ecosphere. 7(12).
By Lisa Hildebrand, MSc student, OSU Department of Fisheries and Wildlife, Geospatial Ecology of Marine Megafauna Lab
Science is truly meaningful because it is shared amongst colleagues and propagated to the wider public. There are many mediums through which information dissemination can occur. A common and most rigorous form is the peer-review scientific publication of papers. The paper approval process is vigorous, can last a long time – sometimes on the scale of several years – and is therefore an excellent way of vetting science that is occurring all over the world in many different disciplines. New studies build upon the results and downfalls of others, and therefore the process of research and communication of knowledge is continuous.
However, scientific journals and the publications within them can be quite exclusive; they are often only accessible to certain members of the scientific community or of an educational institution. For a budding scientist who is not affiliated with an institution, it can be very hard to get your hands on current research. Having said that, this issue is slowly becoming inconsequential since open access and free journals, such as PeerJ, are becoming more prevalent.
Something that is perhaps more restrictive is the amount of topic-specific jargon used in publications. While a certain degree of jargon is to be expected, it can sometimes overwhelm a reader to the point where the main findings of the research become lost. This typically tends to be the case for those just at the beginning of their scientific journeys, however I have also known professors to comment on confusing sections of publications due to the heavy use of specific jargon.
Conferences on the other hand offer an opportunity to disseminate meaningful science in a more open and (sometimes) more laid-back setting (this may not always be true depending on the field of science and the calibre of the conference). Researchers of a particular field congregate for a few days to learn about current research efforts, ponder potential collaborations, peruse posters of new studies, and argue over which soccer team is going to win the next World Cup. That is the beauty of conferences – it is very possible to get to know each other on a personal level. These face-to-face opportunities are especially beneficial to students as this relaxed atmosphere lends itself to asking questions and engaging with scientists that are leaders in their fields.
Just over a week ago, the GEMM Lab had the opportunity to do all of the above-mentioned things. PI Dr Leigh Torres and I participated in the Marine Technology Summit (MTS) in Newport, OR, a “mini-conference” at which shiny, new technologies for use in marine applications were introduced by leading, and many local, tech companies. While Leigh and I are not technologists, we are ecologists that have greatly benefitted from recent, rapid advances in technology. Both of our gray whale (Eschrichtius robustus) research projects use different technologies to unveil hitherto unknown ecological aspects of these marine mammals.
Leigh presented her research that involves flying drones over gray whales that grace the Oregon coastal waters in the spring and summer. Through these flights, many previously undocumented gray whale behaviours have been captured and quantified1, such as headstands, nursing and jaw snapping (check out the video below). Furthermore, still images from the videos have been used to perform photogrammetry to assess health and body condition of the whales2. These drone flights have added a wealth of valuable data to the life histories of individual whales that previously were assessed mainly through photo-identification and genetics. This still fairly new approach to assess health by using drones can be relatively cost-effective, which has always been one of Leigh’s key aims throughout her research so that methods are accessible to many scientists. These productive drones used by the GEMM Lab are commercially available (yup, just like the ones you see on the shelves at your local Best Buy!).
The use of cost-effective technologies is a common theme in the GEMM Lab and is also central to my research. The estimation of zooplankton density is vital to my project to determine whether gray whales in Port Orford select areas of high prey density over areas with less dense prey. However, the traditional technology used to quantify prey densities in the water column are often bulky or expensive. Instead, we developed a relatively cheap method of measuring relative zooplankton density using a GoPro camera that we reel down through the water column from a downrigger attached to our research kayak. While we are unable to exactly quantify the mass of zooplankton in the water column, we have been successful in accessing changes in relative prey density by scoring screenshots of the footage.
While our drones and GoPro technology is not without error, technology rarely is. In truth, we lost our GoPro for several days after it became stuck in a rock crevice and Leigh’s team regrettably lost a drone to the depths of the ocean this summer. This technology reality was part of the reason I presented at the MTS as I wanted to involve technologists to find solutions to some of the problems I have experienced. Needless to say, I got a lot of excellent input from many different people, for which I am very grateful. In addition to developing new opportunities to collaborate, I was very content to sit in the audience and hear about the ground-breaking new marine technologies that are in development. Below are short descriptions of two new technologies I learned about that are revolutionising the marine world.
ASV Unmanned Marine Systems develop autonomous surface vehicles that are powered by renewable energies (solar panels and wind turbines). These vessels are particularly useful for oceanographic monitoring as they are more capable than weather buoys and much more cost effective than manned weather ships or research vessels. Additionally, they can be used for a lot of different marine science applications including active acoustic fisheries monitoring, water quality monitoring, and cetacean tracking. Some models even have integrated drones that are launched and retrieved autonomously.
The Ocean Cleanup is a company that develops technologies to clean garbage out of our oceans. There is presently a large mission underway by The Ocean Cleanup to combat the Great Pacific Garbage Patch (GPGP). The GPGP is essentially a large island in the middle of the North Pacific Ocean comprised of diverse plastic particles – wrappers, polystyrene, fishing line, plastic bags, the list is endless3. A recent study estimates the amount of plastic in the GPGP to be at least 79 thousand tonnes of ocean plastic4. Unfortunately, the GPGP is not the only one of its kind. The Ocean Cleanup hopes to reduce this massive plastic accumulation with the development of a system made up of a 600-m long floater that sits on the ocean’s surface with a 3-m deep skirt attached below it. The skirt will collect debris while the float will prevent plastic from flowing over it, as well as keep the whole system afloat. The system arrived at the GPGP last Wednesday and the team of over 80 engineers, researchers, scientists and computational modellers have successfully installed the system. The team posts frequent updates on their Twitter and I would highly recommend you follow this possibly revolutionary technology.
While attending the MTS, it felt like there are no bounds for the types of marine technology that will be developed in the future. I am excited to see what ecologists working with technicians can develop to keep applying technology to address challenging questions and conservation issues.
Torres, L., et al., Drone up! Quantifying whale behaviour from a new perspective improves observational capacity.Frontiers in Marine Science, 2018. 5, DOI:10.3389/fmars.2018.00319.
Burnett, J.D., et al., Estimating morphometric attributes on baleen whales using small UAS photogrammetry: A case study with blue and gray whales, 2018.Marine Mammal Science. DOI:10.1111/mms.12527.
Kaiser, J., The dirt on the ocean garbage patches. Science, 2018. 328(5985): p. 1506.
Lebreton, L., et al., Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic. Scientific Reports, 2018. 8(4666).
I am finally starting my 3rd and last year of my PhD. Just a year left and yet so many things to do. As per department requirements, I still need to take some class credits, but what classes could I take? In this short amount of time it is important to focus on my research project and on what could help me better understand the many branches of the project and what could improve my analyses. Thinking of that, both my advisor (Dr. Leigh G. Torres) and I agreed that it would be useful for me to take a class on remote sensing. So, I could learn more about this field, as well as try to include some remote sensing analyses in my project, such as sea surface temperature (SST) and chlorophyll (i.e., as a productivity indicator) conditions over the years we have collected data on gray whales off the Oregon coast.
Our photogrammetry data indicates that whales gradually increased their body condition over the feeding seasons of 2016 and 2018, while 2017 is different. Whales were still looking skinny in the middle of the season, and we were not collecting many fecal samples up to that point (indicating not much feeding). These findings made us wonder if this was related to delayed seasonal upwelling events and consequently low prey availability. These questions are what motivated me the most to join this class so that we might be able to link environmental correlates with our observations of gray whale body condition.
If we stop to think about what remote sensing is, we have already been implementing this method in our project since the beginning, as my favorite definition for remote sensing is “the art of collecting information of objects or phenomenon without touching it”. So, yes, the drone is a type of sensor that remotely collects information of objects (in this case, whales).
However, satellites, all the way up in the space, are also remotely sensing the Earth and its objects and phenomena. Even from thousands of km above Earth, these sensors are capable of generating a great amount of detailed data that is easily and freely accessible (i.e., NASA, NOAA), and can be used for multiple applications in different fields of study. Satellites are also able to collect data from remote areas like the Antarctica and the Arctic, as well as other areas that are not easily reached by humans. One important application of the use of satellite imagery is wildlife monitoring.
For example, satellite data was used to detect variation in the abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, Antarctica (LaRue et al., 2011). Because this is a well-studied seal population, the object of this study was to test if satellite imagery could produce reliable abundance estimates. The authors used high-resolution (0.6 m) satellite imagery (from satellites Quick-Bird-2 and WorldView-1) to compare counts from the ground with counts from satellite images in the same locations at the same time. This study demonstrated a reliable methodology for further studies to replicate.
Satellite imagery was also applied to estimate colony sizes of Adélie penguins in Antarctica (LaRue et al., 2014). High-resolution (0.6 m) satellite imagery combined with spectral analysiswas used to estimate the sizes of the penguin breeding colonies. Ground counts were also used in order to check the reliability of the applied method. The authors then created a model to predict the abundance of breeding pairs as a function of the habitat, which was identified terrain slope as an important component of nesting density.
The identification of whales using satellite imagery is also possible. Fretwell et al. (2014)pioneered this method by successfully identifing Southern Right Whales (Eubalaena australis) in the Golfo Nuevo, Península Valdés, in Argentina in satellite images. By using very high-resolution satellite imagery (50 cm resolution) and a water penetrating coastal band that was able to see deeper into the water column, the researchers were able to successfully identify and count the whales (Fig. 04). The importance of this study was very significant, since this species was extensively hunted from the 17ththrough to the 20thcentury. Since then, the species has shown a strong recovery, but population estimates are still at <15% of historical estimates. Thus, being able to use new tools to identify, count and monitor individuals in this recovering population is a great development, especially in remote and hard to reach areas.
Polar bears (Ursus maritimus) have also been studied in the Foxe Basin, in Nunavut and Quebec, Canada (LaRue et al., 2015). Researchers used high-resolution satellite imagery in an attempt to identify and count the bears, but spectral signature differences between bears and other objects were insufficient to yield useful results. Therefore, researchers developed an automated image differencing, also known as change detection, that identifies differences between remotely sensed images collected at different times and “subtract of one image from another”. This method correctly identified nearly 90% of the bears. The technique also generated false positives, but this problem can be corrected by a manual review.
Figure 05 shows the difference in resolution of two types of satellite imagery, the panchromatic (0.6 m resolution) and the multispectral (2.4 m resolution). LaRue et al. (2015)decided not to use the multispectral imagery due to resolution constraints.
A more recent study is being conducted by my fellow OSU Fisheries and Wildlife graduate student, Jane Dolliveron breeding colonies of three species of North Pacific albatrosses (Phoebastria immutabilis, Phoebastria nigripes, and Phoebastria albatrus)(Dolliver et al., 2017). Jane is using high-resolution multispectral satellite imagery (DigitalGlobe WorldView-2 and -3) and image processing techniques to enumerate the albatrosses. They are also using albatross species at multiple reference colonies in Hawaii and Japan (Fig. 06) to determine species identification accuracy and required correction factor(s). This will allow scientists to accurately count unknown populations on the Senkakus, which are uninhabited islands controlled by Japan in the East China Sea.
Using satellite imagery to count seals, penguins, whales, bears and albatrosses is just the start of this rapidly advancing technology. Techniques and resolutions are continuously improving. Methods can also be applied to many other endangered species, especially in remote areas, providing data on presence, abundance, annual productivity, population estimates and trends, changes in distribution, and breeding ground usage.
Other than directly monitoring wildlife, satellite images can also provide information on the environmental variables that can be related to wildlife presence, abundance, productivity and distribution.
Gentemann et al. (2017), for example, used satellite data from NASA to analyze SST variations along the west coast of the United States from 2002 to 2016. The NASA Jet Propulsion Laboratory produces global, daily, 1 km, multiscale ultra-high resolution, motion-compensated analysis of SST, and incorporates SSTs from eight different satellites. Researchers were able to identify warmer than usual SSTs (also called anomalies) along the Washington, Oregon, and California coasts from January 2014 to August 2016 (Fig.07) relative to previous years. This marine heat wave started in the Gulf of Alaska and ended in Southern California, where SST reached a maximum temperature anomaly of 6.2°C, causing major disturbances and substantial economic impacts.
Changes in SST and winds may alter events such as the coastal upwelling that supplies nutrients to sustain a whole food chain. A marine heat-wave event as described by Gentemann et al. (2017)could have significant impacts on the health of the marine ecosystem in the subsequent season (Gentemann et al., 2017).
These findings may even relate to our questions regarding the poor gray whale body condition we noticed in 2017: this marine heat wave that lasted until August 2016 along the US west coast could have impacted the ecosystem in the subsequent season. However, I must conduct a more detailed study to determine if this heat wave was related or if another oceanographic process was involved.
So, whether remotely sensed data is generated by satellites, drones, thermal imagery, robots (as I previously wrote about), or another type of technology, it can have important and informative applications to monitor wildlife or environmental variables associated with their ecology and biology. We can take advantage of remotely sensed technology to aid wildlife conservation efforts.
Dolliver, J., et al., Multispectral processing of high resolution satellite imagery to determine the abundance of nesting albatross. Ecological Society of America, Portland, OR, United States., 2017.
Fretwell, P. T., et al., 2014. Whales from Space: Counting Southern Right Whales by Satellite. Plos One. 9,e88655.
Gentemann, C. L., et al., 2017. Satellite sea surface temperatures along the West Coast of the United States during the 2014–2016 northeast Pacific marine heat wave. Geophysical Research Letters. 44,312-319.
LaRue, M. A., et al., 2014. A method for estimating colony sizes of Adélie penguins using remote sensing imagery. Polar Biology. 37,507-517.
LaRue, M. A., et al., 2011. Satellite imagery can be used to detect variation in abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, Antarctica. Polar Biology. 34,1727–1737.
LaRue, M. A., et al., 2015. Testing Methods for Using High-Resolution Satellite Imagery to Monitor Polar Bear Abundance and Distribution. Wildlife Society Bulletin. 39,772-779.
By Dawn Barlow, PhD student, Geospatial Ecology of Marine Megafauna Lab, Department of Fisheries and Wildlife, Oregon State University
Sun on my face and wind in my hair, scanning the expanse of blue. Forty minutes on, twenty minutes off, from sunrise until sunset, day after day. Hours of seemingly empty blue, punctuated by graceful black-footed albatrosses wheeling and gliding over the swells, by the splashing approach of a curious group of Pacific white-sided dolphins coming to play in the bow of the ship, by whale spouts on the horizon and the occasional breaching humpback. A flurry of data entry—geographic coordinates, bearing and distance from the ship, number of animals, species identification, behavior—and then back to blue.
I’ve just returned from the Northern California Current (NCC) ecosystem cruise aboard NOAA ship Bell M. Shimada. My role on board was the marine mammal observer, logging marine mammal sightings during the transits between sampling stations. We surveyed and sampled between Cape Mears, Oregon and Trinidad, California, from right along the coast out to 200 nautical miles offshore. Resources in the marine environment are patchy, and our coastline is highly productive. This diversity in environmental conditions creates niche habitats for many species, which is one reason why surveying and sampling across a broad geographic range can be so informative. We left Newport surrounded by gray whales, feeding in green, chilly waters at temperatures around 12°C. Moving west, the marine mammal and seabird sightings were increasingly sparse, the water increasingly blue, and the surface temperature warmed to a balmy 17°C. We had reached offshore waters, an ocean region sometimes referred to as the “blue desert”. For an entire day I didn’t see a single marine mammal and only just a few seabirds, until a handful of common dolphins—more frequently seen in warm-temperate and tropical waters to the south—joined the ship at sunset. As we transited back inshore over the productive Heceta Bank, the water became cooler and greener. I stayed busy logging sightings of humpback and gray whales, harbor porpoise and Dall’s porpoise, pacific white-sided dolphins and sea lions. These far-ranging marine predators must find a way to make a living in the patchy and dynamic ocean environment, and therefore their distribution is also patchy—aggregated around areas of high productivity and prey availability, and occasionally seen transiting in between.
Here are a few cruise highlights:
Curious groups of common dolphins (Delphinus delphis) came to play in the bow wake of the ship and even checked out the plankton nets when they were deployed. Common dolphins are typically found further south, however we saw several groups of them in the warmer waters far offshore.
Common dolphins (Delphinus delphis). Photo: Dawn Barlow.
Common dolphins (Delphinus delphis). Photo: Dawn Barlow.
Common dolphins (Delphinus delphis). Photo: Dawn Barlow.
Common dolphins (Delphinus delphis). Photo: Dawn Barlow.
Ocean sunfish (Mola mola) will occasionally lay themselves flat at the surface so that seabirds will pick them clean of any parasites. I was delighted to observe this for the first time just off Newport! There were several more sunfish sightings throughout the cruise.
A masked booby (Sula dactylatra) hung around the ship for a bit, 16 nautical miles from shore, just south of the Oregon-California border. Considered a tropical species, a sighting this far north is extremely rare. While masked boobies are typically distributed in the Caribbean and tropical Pacific from Mexico to Australia, one found its way to the Columbia River in 2006 (first record in the state of Oregon) and another showed up here to Newport in 2015 – reportedly only the second to be recorded north of Mendocino County, California. Perhaps this sighting is the third?
Masked booby (Sula dactylatra). Photo: Dawn Barlow.
While most of my boat-based fieldwork experiences have been focused on marine mammal research, this was an interdisciplinary cruise aimed at studying multiple aspects of the northern California current ecosystem. There were researchers on board studying oceanography, phytoplankton and harmful algal blooms, zooplankton, and microplastics. When a group of enthusiastic scientists with different areas of expertise come together and spend long days at sea, there is a wonderful opportunity to learn from one another. The hydroacoustic backscatter on the scientific echosounder prompted a group discussion about vertical migration of plankton one evening. Another evening I learned about differences in energetic content between krill species, and together we mused about what that might mean for marine predators. This is how collaborations are born, and I am grateful for the scientific musings with so many insightful people.
Thank you to the Shimada crew and the NCC science team for a wonderful cruise!
By Alexa Kownacki, Ph.D. Student, OSU Department of Fisheries and Wildlife, Geospatial Ecology of Marine Megafauna Lab
From September 22nd through 30th, the GEMM Lab participated in a STEM research cruise aboard the R/V Oceanus, Oregon State University’s (OSU) largest research vessel, which served as a fully-functioning, floating, research laboratory and field station. The STEM cruise focused on integrating science, technology, engineering and mathematics (STEM) into hands-on teaching experiences alongside professionals in the marine sciences. The official science crew consisted of high school teachers and students, community college students, and Oregon State University graduate students and professors. As with a usual research cruise, there was ample set-up, data collection, data entry, experimentation, successes, and failures. And because everyone in the science party actively participated in the research process, everyone also experienced these successes, failures, and moments of inspiration.
Dr. Leigh Torres, Dr. Rachael Orben, and I were all primarily stationed on flybridge—one deck above the bridge—fully exposed to the elements, at the highest possible location on the ship for best viewing. We scanned the seas in hopes of spotting a blow, a splash, or any sign of a marine mammal or seabird. Beside us, students and teachers donned binoculars and positioned themselves around the mast, with Leigh and I taking a 90-degree swath from the mast—either to starboard or to port. For those who had not been part of marine mammal observations previously, it was a crash course into the peaks and troughs—of both the waves and of the sightings. We emphasized the importance of absence data: knowledge of what is not “there” is equally as important as what is. Fortunately, Leigh chose a course that proved to have surprisingly excellent environmental conditions and amazing sightings. Therefore, we collected a large amount of presence data: data collected when marine mammals or seabirds are present.
When someone sighted a whale that surfaced regularly, we assessed the conditions: the sea state, the animal’s behavior, the wind conditions, etc. If we deemed them as “good to fly”, our licensed drone pilot and Orange Coast Community College student, Jason, prepared his Phantom 4 drone. While he and Leigh set up drone operations, I and the other science team members maintained a visual on the whale and stayed in constant communication with the bridge via radio. When the drone was ready, and the bridge gave the “all clear”, Jason launched his drone from the aft deck. Then, someone tossed an unassuming, meter-long, wood plank overboard—keeping it attached to the ship with a line. This wood board serves as a calibration tool; the drone flies over it at varying heights as determined by its built-in altimeter. Later, we analyze how many pixels one meter occupied at different heights and can thereby determine the body length of the whale from still images by converting pixel length to a metric unit.
Finally, when the drone is calibrated, I radio the most recent location of our animal. For example, “Blow at 9 o’clock, 250 meters away”. Then, the bridge and I constantly adjust the ship’s speed and location. If the whale “flukes” (dives and exposes the ventral side of its tail), and later resurfaced 500 meters away at our 10 o’clock, I might radio to the bridge to, “turn 60 degrees to port and increase speed to 5 knots”. (See the Hidden Math Lesson below). Jason then positions the drone over the whale, adjusting the camera angle as necessary, and recording high-quality video footage for later analysis. The aerial viewpoint provides major advantages. Whales usually expose about 10 percent of their body above the water’s surface. However, with an aerial vantage point, we can see more of the whale and its surroundings. From here, we can observe behaviors that are otherwise obscured (Torres et al. 2018), and record footage that to help quantify body condition (i.e. lengths and girths). Prior to the batteries running low, Jason returns the drone back to the aft deck, the vessel comes to an idle, and Leigh catches the drone. Throughout these operations, those of us on the flybridge photograph flukes for identification and document any behaviors we observe. Later, we match the whale we sighted to the whale that the drone flew over, and then to prior sightings of this same individual—adding information like body condition or the presence of a calf. I like to think of it as whale detective work. Moreover, it is a team effort; everyone has a critical role in the mission. When it’s all said and done, this noninvasive approach provides life history context to the health and behaviors of the animal.
Hidden Math Lesson: The location of 10 o’clock and 60 degrees to port refer to the exact same direction. The bow of the ship is our 12 o’clock with the stern at our 6 o’clock; you always orient yourself in this manner when giving directions. The same goes for a compass measurement in degrees when relating the direction to the boat: the bow is 360/0. An angle measure between two consecutive numbers on a clock is: 360 degrees divided by 12-“hour” markers = 30 degrees. Therefore, 10 o’clock was 0 degrees – (2 “hours”)= 0 degrees- (2*30 degrees)= -60 degrees. A negative degree less than 180 refers to the port side (left).
Our trip was chalked full of science and graced with cooperative weather conditions. There were more highlights than I could list in a single sitting. We towed zooplankton nets under the night sky while eating ice cream bars; we sang together at sunset and watched the atmospheric phenomena: the green flash; we witnessed a humpback lunge-feeding beside the ship’s bow; and we saw a sperm whale traveling across calm seas.
On this cruise, our lab focused on the marine mammal observations—which proved excellent during the cruise. In only four days of surveying, we had 43 marine mammal sightings containing 362 individuals representing 9 species (See figure 1). As you can see from figure 2, we traveled over shallow, coastal and deep waters, in both Washington and Oregon before inland to Portland, OR. Because we ventured to areas with different bathymetric and oceanographic conditions, we increased our likelihood of seeing a higher diversity of species than we would if we stayed in a single depth or area.
Number of sightings
Total number of individuals
Pacific white-sided dolphin
Northern right whale dolphin
California sea lion
Figure 1. Summary table of all species sightings during cruise while the science team observed from the flybridge.
Figure 2. Map with inset displaying study area and sightings observed by species during the cruise, made in ArcMap. (Image source: Alexa Kownacki).
Even after two days of STEM outreach events in Portland, we were excited to incorporate more science. For the transit from Portland, OR to Newport, OR, the entire science team consisted two people: me and Jason. But even with poor weather conditions, we still used science to answer questions and help us along our journey—only with different goals than on our main leg. With the help of the marine technician, we set up a camera on the bow of the ship, facing aft to watch the vessel maneuver through the famous Portland bridges.
Video 1. Time-lapse footage of the R/V Oceanus maneuvering the Portland Bridges from a GoPro. Compiled by Alexa Kownacki, assisted by Jason Miranda and Kristin Beem.
Prior to the crossing the Columbia River bar and re-entering the Pacific Ocean, the R/V Oceanus maneuvered up the picturesque Columbia River. We used our geospatial skills to locate our fellow science team member and high school student, Chris, who was located on land. We tracked each other using GPS technology in our cell phones, until the ship got close enough to use natural landmarks as reference points, and finally we could use our binoculars to see Chris shining a light from shore. As the ship powered forward and passed under the famous Astoria-Megler bridge that connects Oregon to Washington, Chris drove over it; he directed us “100 degrees to port”. And, thanks to clear directions, bright visual aids, and spatiotemporal analysis, we managed to find our team member waving from shore. This is only one of many examples that show how in a few days at sea, students utilized new skills, such as marine mammal observational techniques, and honed them for additional applications.
Great science is the result of teamwork, passion, and ingenuity. Working alongside students, teachers, and other, more-experienced scientists, provided everyone with opportunities to learn from each other. We created great science because we asked questions, we passed on our knowledge to the next person, and we did so with enthusiasm.
Check out other blog posts written by the science team about the trip here.
Fieldwork often comes with the unexpected. It is the reason why field work is so exciting – not only discovering something new about a species and ecosystem, but it is also often the catalyst for the development of novel ideas and projects. However, designing a successful field campaign to a new location (and acquiring funding) requires preconceived expectations that are not too far off from reality. Working with colonial breeding seabirds and pinnipeds has its advantages since these animals are predictably found at their colonies during the breeding period. However, breeding failures can be worse than expected (see my blog on red-legged kittiwakes) and as I just learned, sometimes almost everything can be surprising.
I will list them here from slightly mundane to the very surprising.
1) First of all, it was winter and I expected it to be cold.
This is probably a case of me not doing my pre-field season research, but it was pleasantly not as cold as I expected. Generally, the temperatures were above freezing, which made doing everything much easier. Of course, I still wore lots of layers and drank lots of hot drinks, but overall it was fairly mild. It was also less windy and less rainy than I had imagined and we had some beautiful sunny days.
Our last night on the island. Still bundled Up. Photo (c) Kayleigh Jones
Inside our tent. Photo: (c) Kayleigh Jones
Sunrise over west Falkland. Photo (c) R. Orben
2) I had hay fever!
Not something usually anticipated for winter field work, but the tussac grass was flowering and that left me with itchy eyes, a stuffy nose and lots of sneezes. I should mention that tussac grass is everywhere and many of the tussacs are taller than a person!
Tussac grass in bloom. Photo (c) Rachael Orben
A tiny tussac. Photo (c) Rachael Orben
We camped in the middle of the tussacs. Photo (c) Kayleigh Jones
In the tussacs. Photo (c) Rachael Orben
Now for the science surprises.
3) FEMALE Fur Seals took foraging trips That were much longer than we had anticipated.
We had a couple of females leave the colony and go on foraging trips for 10 days, others for ~2 weeks, and others for over 3 weeks! Previous work on the island indicated that female fur seals might take 4.1 +/- 2 day trips (Thompson et al. 2003). Fortunately, we were on the island for the long-haul (6-weeks shower free) so we were able to wait them out and retrieve the tags (and the data) when the females came home. The differences in trip duration could simply reflect annual changes in prey availability, but we know very little about what fur seals are eating, especially during the winter (Baylis et al. 2013).
Female fur seal nursing pup. Photo (c) Kayleigh Jones
South American Fur Seal with biologging tags attached. She went on a foraging trip, returned to the island and then we recaught her to remove the devices. Photo (c) Rachael Orben
Nursing female fur seals and pups at the top of the hill. Photo (c) Rachael Orben
4) albatrosses were attending their colony.
As a reminder, this was the middle of winter. Generally, black-browed albatrosses do not return to their colonies until September since they lay eggs in October (Strange, 1992). There weren’t many birds the day we arrived in mid-July (n=9), but even so, that was odd enough that I began taking photos of the colony each day with the plan to count birds and quantify colony attendance.
Black-browed albatrosses on their nest in late winter. Photo (c) Rachael Orben
Just a small proportion of birds were in attendance. Photo (c) Rachael Orben
Black-browed albatrosses sitting on their nests. Photo (c) Rachael Orben
…and for the most surprising of all…
5) South American Sea Lions males were killing and eating female South American fur seals!
We were slow to realize what was happening since it was so unexpected. After we deployed our tracking tags on fur seals we spent many hours at the colony simply observing. We started to see things that didn’t quite make sense. Females cautiously approaching the water. Male sea lions hanging out in the water. Then Dr. Baylis saw a male sea lion go up into the colony and grab a pup and eat it! Shortly after that, we saw two male sea lions chase a female out of the water and up the hill towards the colony. One male eventually came back down to a tide pool with a female he had killed in his mouth. From that point, it because very clear what was happening and we saw multiple kills.
It is unknown how often male southern sea lions eat fur seals, but it has been observed in the Falklands before, both in the 1970s and in more recent years (Gentry & Johnson 1981). Worldwide, sea lions are known to occasionally eat fur seal pups (Gentry & Johnson 1981, Harcourt 1993, Bradshaw et al. 1998), but people have rarely observed sea lions predating females.
Sea lions on patrol. Photo R. Orben
Giant petrels following a sea lion who has just made a kill. Photo R. Orben
South American Sea Lion killing a small fur seal. Photo R. Orben
Lion-in-wait. Photo R. Orben
After a kill caracaras and vultures picked the carcasses clean. Photo R. Orben
Patrolling sea lion. Photo R. Orben
Sea lions eating a fur seal. Photo R. Orben
Our three scientific surprises are really what field work is all about. We came home with the tracking data we were hoping for and we came home with something arguably more valuable. We can use these new observations to make informed hypotheses about how marine predators fit into the ecosystem in ways that before our visit to Bird Island we would have never have expected. Hopefully, we will have a chance to go back!
Seal team 3. Kayleigh Jones, Rachael Orben, and Alastair Baylis.
Looking out towards the fur seals. Photo: Kayleigh Jones
Baylis AMM, Arnould JPY, Staniland IJ (2013) Diet of South American fur seals at the Falkland Islands. Marine Mammal Sci 30:1210–1219
Bradshaw CJA, Lalas C, Mcconkey S (1998) New Zealand sea lion predation on New Zealand fur seals. New Zealand Journal of Marine and Freshwater Research 32:101–104
Gentry RL, Johnson JH (1981) Predation by sea lions on northern fur seal neonates. Mammalia 45
Harcourt R (1993) Individual variation in predation on fur seals by southern sea lions (Otaria byronia) in Peru. Canadian Journal of Zoology 71:1908–1911
Strange, IJ (1992) Field Guide to the Wildlife of the Falkland Islands and South Georgia (Collins Pocket Guide)
Thompson DR, Moss S, Lovell P (2003) Foraging behaviour of South American fur seals Arctocephalus australis: extracting fine scale foraging behaviour from satellite tracks. Mar Ecol Prog Ser 260:285–296
By Dominique Kone, Masters Student in Marine Resource Management
An ecologist’s research may involve some combination of fieldwork and lab work. Yet, with modern advances in quantitative tools, such as models, computer-based research is becoming more popular. Furthermore, as the predictive capacity of models improve, they are becoming valuable to decision-makers to forecast how marine environments may respond to management decisions or phenomenon like climate change. While this type of research is important to society, I’ve often wondered if and how researchers may benefit by stepping away from their computer, every now and then, to observe the very subjects they’re studying.
For my thesis, I’m conducting an ecological assessment of a potential sea otter reintroduction to the Oregon coast. Through this work, I spend most of my time working at a desktop, analyzing spatial layers, and researching and synthesizing the literature. While I’ve learned a great deal about sea otters and the Oregon Coast, I felt that I needed to gain a better contextual understanding of this area, especially as someone from outside the region. Luckily, this summer, I had the perfect opportunity to explore this great state. Here, I share just some of the places I visited this past summer, what I’ve learned from my travels, and how these explorations have given me a deeper appreciation for the Oregon Coast and the implications of my research.
For those of you unfamiliar with Oregon geography, the Oregon Coast is an expansive area stretching from Warrenton, which borders the Columbia River, in the north to the Oregon-California border just south of Brookings (approximately 362 miles). However, if we divide this area into three geographic regions – northern, central, and southern – some noticeable regional differences become apparent, both in terms of local topography and human use and visitation.
Relative to the northern and central coastlines, the geology of southern coastline (approximately Coos Bay to Brookings) is much more complex – comprising of rocky shorelines, sheltered coves and inlets, islands, and calm estuaries (overall, less sandy beaches). The region also appears to support a relatively higher biomass of macroalgae, including kelp. Taken altogether, the presence of these physical features appears to make the southern coast potentially suitable sea otter habitat, an important prerequisite of reintroduction efforts.
In contrast, the northern and central coastlines are predominantly comprised of sandy shorelines. However, these stretches of beaches are sometimes disrupted by complex and rocky habitat and have some of the largest estuaries and bays found along the entire Oregon Coast – such as Yaquina Bay, Tillamook Bay, and the Columbia River – all of which could also be potentially suitable habitat for sea otters. Furthermore, while you can find some kelp in these regions (i.e. Yaquina Head Lighthouse), these beds appear to be more dispersed and less dense than along the southern coast. By observing these features in person this summer, I came away with a much greater sense of just how biogeographically unique each of these regions is, as well as what it truly means for habitat to be “suitable”.
Aside from these physical characteristics, I also came away with a greater sense of the type of people who live and visit these regions. Along the Oregon Coast, dozens of towns, cities, unincorporated communities, and census-designated places are called home by some 653,112 people (State of Oregon. 2012). Yet, the southern coast is much less populated than the rest of the Oregon Coast. In fact, only 13% (people in Coos and Curry County) of the Oregon Coast population lives along the southern coast (State of Oregon. 2012). During my visit to the southern region, I noticed the typical beach-goers and overnight campers at various state parks, but there were not nearly as many in the northern and central regions. This demographic disparity is not surprising, given each region’s location in the state. The northern and central coasts are much closer to highly-populated cities such as Portland, Salem, Corvallis, and Eugene, potentially making them more accessible to weekend or seasonal visitors. In southern Oregon, the nearest in-land cities include Roseburg, Grants Pass, and Medford, but these populations pale in comparison to those in the central and northern regions.
After spending some time on the Oregon Coast, I wonder how these communities may be impacted by sea otters if they were to be reintroduced. Tourism and recreation are a huge part of the Oregon Coast lifestyle and economy. If managers were to bring sea otters back to Oregon, we could potential see an increase in visitation – as sea otters are an iconic and charismatic species – particularly to communities on the southern coast where sea otters may be more likely to establish. This increased tourism may come in the form of tourist redistribution from the northern and central coast to the southern region, an increase in overall tourists from all over the state, or even an influx from outside the state. Although these predictions are premature and based only on my recent observations, it is important to consider the societal impacts of sea otter reintroduction to our local communities.
To brings things back full circle, my coastal adventures provided me with a much deeper understanding of the uniqueness of the Oregon coast, as well as the people who call it home. Having this sound understanding is not only important for me as I conduct my research, but it is also vitally important for managers who are considering a sea otter reintroduction as this action could have coast-wide or localized impacts on these communities. If managers decide to move forward with a reintroduction effort, they could look at other regions along the U.S. west coast that currently have sea otters to assess how wildlife tourism is managed in these communities. For me, I’m glad I decided to step way from the computer to experience this beautiful area because it has provided me with a perspective I could not get from my data and models.
By Lisa Hildebrand, MSc student, OSU Department of Fisheries and Wildlife, Geospatial Ecology of Marine Megafauna Lab
To many people, six weeks may seem like a long time. Counting down six weeks until your favourite TV show airs can feel like time dragging on slowly (did anyone else feel that way waiting for Blue Planet II to be released?). Or crossing off the days on your calendar toward that much-needed holiday that is still six weeks away can feel like an eternity. It makes sense that six weeks should feel like a long time. After all, six weeks are approximately a ninth of an entire year. Yet, I can assure you that if you asked anyone on my research team this summer whether six weeks was a long time, they would all say no.
As I watched each of my interns present our research to a room of 50 engaged community members (Fig. 1) after our six week research effort, I couldn’t help but feel an overwhelming sense of pride for all of them at how far they had come during the course of the field season.
On the very first day of our two-week training back in July, I gave my team an introductory presentation covering gray whales, their ecology, what the next six weeks would look like, how this project had developed and its results to date (Quick side-note here: I want to give a huge shout out to Florence and Leigh as this project would not be what it is today without their hard work and dedication as they laid the groundwork for it three years ago and have continued to improve and expand it). I remember the looks on my interns’ faces and the phrase that comes to mind is ‘deer in headlights’. It isn’t surprising that this was the case as this internship was the first time any of them had done marine mammal field work, or any kind of field work for that matter. It makes me think back to my first taste of field work. I was a fresh high school graduate and volunteering with a bottlenose dolphin research group. I remember feeling out of place and unsure of myself, both in terms of data collection skills but also having to live with the same people I had worked with all day. But as the first few days turned into the first few weeks, I grew into my role and by the end of my time there, I felt like an expert in what I was doing. Based on the confidence with which my interns presented our gray whale foraging ecology research to an audience just over a week ago, I know that they too had become experts in these short six weeks. Experts in levelling a theodolite, in sighting a blow several kilometres out from our cliff site, in kayaking in foggy conditions, in communicating effectively in high stress situations – the list goes on and on.
While you may have read the previous blog posts written by each of my interns in the last four weeks and thus have a sense of who they are, I want to tell you a little more about each of these hardworking undergraduates that played a large role in making this year’s Port Orford gray whale season so effective. Although we did not have any local high school interns this year, the whole team hails from Oregon, specifically from Florence, Sweet Home and Portland.
Haley Kent (Fig. 2), my co-captain and Marine Studies Initiative (MSI) intern, an Environmental Science major, is going into her senior year at OSU this fall. She is focused and driven, which I know will enable her to pursue her dream of becoming a shark researcher (I can’t even begin to describe her excitement when we saw the thresher shark on our GoPro video). I couldn’t have asked for a better right hand person for my first year taking over this project and I am excited to see what results she will reveal through her project of individual gray whale foraging preferences. Also, Haley has a big obsession for board games and provided the team with many evenings of entertainment thanks to Munchkin and King of Tokyo.
Dylan Gregory (Fig. 3) is transferring from Portland Community College and is going to be an OSU junior this fall. Not only was Dylan always extremely helpful in working with me to come up with ways to troubleshoot or fix gear, but his portable speaker and long list of eclectic podcasts always made him a very good cliff team partner. He was also Team Whale Storm’s main chef in the kitchen, and while some of his dishes caused tears & sweat among some team members (Dylan is a big fan of spices), there were never any leftovers, indicating how delicious the food was.
Robyn Norman (Fig. 4) will be a sophomore at OSU this fall and her commitment to zooplankton identification has been invaluable to the project. Last year when she was a freshman, Robyn was given our zooplankton samples from 2017, a few identification guides and instructions on how to use the dissecting microscope, before she was left to her own devices. Her level of independence and dedication as a freshman was incredible and I am very grateful for the time and skills she has given to this work. Besides this though, Robyn always brought an element of happiness to the room and I can speak on behalf of the rest of the team, that when she was gone for a week on a dive trip, the house did not feel the same without her.
Hayleigh Middleton (Fig. 5), a fresh high school graduate and freshly turned 18 during the project, is starting as a freshman at OSU this fall. She is extremely perceptive and would (thankfully) often remind others of tasks that they had forgotten to do (like take the batteries out of the theodolite or to mention the Secchi depth on the GoPro videos). I was very impressed by Hayleigh’s determination to continue working on the kayak despite her propensity for sea sickness (though after a few days we did remedy this by giving her raw ginger to chew on – not her favourite flavour or texture but definitely very, very effective!). She is inquisitive about almost everything and I know she will do very well in her first year at OSU.
Thank you, Team Whale Storm (Fig. 6), for giving me six weeks of your summer and for making my first year as project leader as seamless as it could have been! Without each and every one of you, I would not have been able to survey for 149.2 hours on the cliff, collect over 300 zooplankton samples, identify 31 gray whales, or launch a tandem kayak at 6:30 am every morning.
My interns were not the only ones to experience many “firsts” during this field season. I learned many new things for the first time right alongside them. While taking leadership is not a foreign concept to me, these six weeks were my first real experience of leading a project and a team for a sustained period of time. Managing teams, delegating tasks and compiling data felt gratifying because I felt like I was exactly where I should be (Fig. 7).
I dealt with many daunting tasks, yet thanks to the support of my interns, as well as Tom (Port Orford field station’s incredible station manager), Florence and Leigh, I learned how to resolve my problems: I fixed and replaced broken or lost gear (I am not a very mechanically inclined person; Fig. 8), budgeted food for five hungry people doing tiring field work (I’ve only ever budgeted for one person previously), and taught people how to use gear that I had not often used before (I can say now that the theodolite and I are friends, but this wasn’t the case for the first few weeks…).
In the lead up to the summer field season this year, Leigh said to me, in one of the many emails we exchanged, that leading the project was a big task but that it was just six weeks long. She suggested that I rest up and get organised as much as I could ahead of time because, after all, the data collected this summer was going to be my thesis data, so I would want it to be as good as possible. Looking back, she couldn’t have been more right – the six weeks simply flew by, I did need the rest she had advised, and it definitely was a big task. I can’t wait for it to happen all over again next summer.