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<\/a><\/figure>\n\n\n\nFigure 1. Aerial image of a PCFG gray whale off the Oregon Coast.\u00a0<\/em><\/p>\n\n\n\n How did I end up getting involved with the GEMM Lab? I was first accepted into Scarlett Arbuckle\u2019s research-based class in fall term 2022, which is centered around partnering with a mentor for a research project. Having explored the various fields of research at HMSC, I contacted Leigh Torres with interest in getting involved in the GEMM Lab and to establish a research project suitable for a totally inexperienced, international, undergraduate student. Thankfully, Leigh forwarded my email to KC Bierlich who offered to be my mentor for the class, and the rest is history! I first began analyzing drone imagery to measure length and body condition of\u00a0 PCFG gray whales, which provided an opportunity to get involved with the lab and gain experience using the photogrammetry software MorphoMetriX (Torres & Bierlich, 2020) (see KC\u2019s blog<\/em><\/a>), which is used to make morphometric measurements of whales. Viewing drone imagery of whales sparked my interest in how they use their blowholes (otherwise called \u2018nares\u2019) to replenish their oxygen stores; this led to us establishing a research project for the class where we tested if we could use MorphoMetriX to measure blowholes from drone imagery.<\/p>\n\n\n\n Extending this project into winter and spring terms (via research credits) has enabled me to continue working with Leigh and KC, as well as to collaborate with Clara Bird and Jim Sumich. Thanks to KC, who has patiently guided me through the ins and outs of working on a research project, I now feel more confident handling and manipulating large datasets, analyzing drone footage (i.e., differentiating between behavioral states, recording breathing sequences, detecting when a whale is exhaling vs inhaling, etc.), and speaking in public (although I still get pretty bad stage fright, but I think that is a typical conundrum undergrads face). Whatsmore, applying R<\/em> – a programming language used for statistical analysis and data visualization, which I have been trying to wrap my head around for years – to my own dataset has helped me greatly enhance my skills using it. <\/p>\n\n\n\n So, what exciting things have we been working on this year? Given that we often cannot simply study a whale from inside a laboratory – due to size-related logistical implications – we must use proxies (i.e., a variable that is representative of an immeasurable variable). Since cetaceans must return to the surface to offload carbon dioxide and replenish their oxygen stores, measuring their breath frequency and magnitude is one way to study a whale\u2019s oxygen consumption, in turn offering insight into its energy expenditure (Williams, 1999). Blowholes are one proxy we can use to study breath magnitude. Blowholes can be utilized in this way by measuring inhalation duration (the amount of time a whale is inhaling, which is based on a calculation developed by Jim Sumich) and blowhole area (the total area of a blowhole) to gauge variations in tidal volume (the amount of air flowing in and out of the lungs).<\/p>\n\n\n\n Measuring inhalation duration and blowhole area is important because a larger blowhole area (i.e., one that is more dilated) and a longer inhalation duration is indicative of higher oxygen intake, which can infer stress. For example, in this population, higher stress levels are associated with increased vessel traffic (Lemos et al., 2022), and skinnier whales have higher stress levels compared to chubby, healthy whales (Lemos, Olsen, et al., 2022). Hence, measuring the variation around blowholes could be utilized to predict challenges whales face from climate change and anthropogenic disturbance, including fishing (Scordino et al., 2017) and whale watching industry threats (Sullivan & Torres, 2018) (see Clara\u2019s blog<\/em><\/a>), as well as to inform effective management strategies. Furthermore, measuring the variables inhalation duration and blowhole area could help to identify whether whales are taking larger breaths associated with certain \u2018gross behavior states\u2019, otherwise known as \u2018primary states\u2019, which include: travel, forage, rest, social (Torres et al., 2018). This could enable us to assess the energetic costs of different foraging tactics (i.e., head standing, side-swimming, and bubble blasting (Torres et al., 2018), as well as consequences of disturbance events, on an individual and population health perspective.\u00a0<\/p>\n\n\n\n Inhalation duration has been explored in the past by using captive animals. For example, there have been studies on heart rate and breathing of bottlenose dolphins in human care facilities (Blawas et al., 2021; Fahlman et al., 2015). Recently, Nazario et al. (2022) was able to measure inhalation duration and blowhole area using suction-cup video tags. Her study led us to consider if it was possible to measure the parameters and variation around respiration by measuring blowhole area and inhalation duration of PCFGs from drone imagery. We employed MorphoMetriX to study the length, width, and area of a blowhole (Figure 2<\/em>). Preliminary analyses verified that the areas of the left and right blowholes are very similar (Figure 3<\/em>); this finding saved us a lot of time because from thereon we only measured either the left or right side. Interestingly, we see some variation in blowhole area within and across individuals (Figure 4<\/em>). This variation changes within individuals based on primary state. For example, the whales \u201cGlacier\u201d, \u201cNimbus\u201d, and \u201cRat\u201d show very little variation whilst traveling but a large amount whilst foraging. Comparatively, \u201cDice\u201d shows little variation whilst foraging and large variation whilst traveling. Whilst considering cross-individual comparisons, we can see that \u201cSole\u201d, \u201cRat\u201d, \u201cNimbus\u201d, \u201cHeart\u201d, \u201cGlacier\u201d, \u201cDice\u201d, and \u201cCoal\u201d each exhibit relatively large amounts of variation, yet \u201cMahalo\u201d, \u201cLuna\u201d, \u201cHarry\u201d, \u201cHummingbird\u201d and \u201cBatman\u201d exhibit very little. One potential reason for some individuals displaying higher levels of variation than others could be higher levels of exposure to disturbance events that we were unable to measure or evaluate in this study.<\/p>\n\n\n\n Figure 2. How we measured the length, width, and area of a blowhole using MorphoMetriX.<\/em><\/p>\n\n\n\n Figure 3. Data driven evidence that the left and the right blowhole areas are very similar.\u00a0<\/em><\/p>\n\n\n\n Figure 4. Variation in blowhole area amongst individual PCFG whales. The hollow circles represent the means, and the color represents the primary state the whale is exhibiting, foraging (purple) vs. traveling (blue), which will be further explored in Clara\u2019s PhD.<\/em><\/p>\n\n\n\n Now, we are venturing into June and are at a stage where we (KC, Clara, Jim, Leigh, and I) are preparing to publish a manuscript! What a way to finish such a fantastic year! The transition from a 3-month-long pilot study to a much larger data analysis and eventual preparation for a manuscript has been a monumental learning experience. If anybody had told me a year ago that I would be involved in publishing a body of work – especially one that is so meaningful to me – I would simply not have believed them! We hope this established methodology for measuring blowholes will help other researchers carry out blowhole measurements using drone imagery across different populations and species. Further research is required to explore the differences in inhalation duration and blowhole area between different primary states, specifically across different foraging tactics.<\/p>\n\n\n\n It has been a great privilege working with the GEMM Lab these past months, and I was grateful to be included in their monthly lab meetings, during which members gave updates and we discussed recently published papers. Seeing such an enthusiastic, kind, and empathic group of people working together taught me what working in a supportive lab could look and feel like. In spite of relocating from Corvallis to Bend after my first term, I was happy to be able to continue working remotely for the lab for the remainder of my time (even though I was ~200 miles inland). I thoroughly enjoyed living in Corvallis, highlights of which were scuba diving adventures to the Puget Sound and coastal road trips with friends. The appeal to move arose from Bend\u2019s reputation as an adventure hub – with unlimited opportunities for backcountry ski access – as well as its selection of wildlife ecology courses (with a focus on species specific to central Oregon). I moved into \u2018Bunk & Brew\u2019 (Bend\u2019s only hostel, which is more like a big house of friends with occasional hostel guests) on January 1st<\/sup> after returning from spending Christmas with friends in my old home in Banff, Canada. I have since been enjoying this wonderful multifaceted lifestyle; working remotely in the GEMM Lab, attending in-person classes, working part-time at the hostel, as well as skiing volcanoes (Mount Hood, Middle and South Sister (Figure 5<\/em>) or climbing at Smith Rock during my days off. Inevitably, I do miss the beautiful Oregon coast, and I will always be grateful for this ideal opportunity and hope this year marks the start of my marine megafauna career!<\/p>\n\n\n\n Figure 5. What I get up to when I\u2019m not studying blowholes! (This was taken at 5am on the long approach to Middle and North Sister. North Sister is the peak featured in the backdrop).<\/em><\/p>\n\n\n\n <\/p>\n\n\n\n References<\/strong><\/p>\n\n\n\n Blawas, A. M., Nowacek, D. P., Allen, A. S., Rocho-Levine, J., & Fahlman, A. (2021). Respiratory sinus arrhythmia and submersion bradycardia in bottlenose dolphins (Tursiops truncatus<\/em>). Journal of Experimental Biology<\/em>, 224<\/em>(1), jeb234096. https:\/\/doi.org\/10.1242\/jeb.234096<\/p>\n\n\n\n Fahlman, A., Loring, S. H., Levine, G., Rocho-Levine, J., Austin, T., & Brodsky, M. (2015). Lung mechanics and pulmonary function testing in cetaceans. Journal of Experimental Biology<\/em>, 218<\/em>(13), 2030\u20132038. https:\/\/doi.org\/10.1242\/jeb.119149<\/p>\n\n\n\n Lemos, L. S., Haxel, J. H., Olsen, A., Burnett, J. D., Smith, A., Chandler, T. E., Nieukirk, S. L., Larson, S. E., Hunt, K. E., & Torres, L. G. (2022). Effects of vessel traffic and ocean noise on gray whale stress hormones. Scientific Reports<\/em>, 12<\/em>(1), 18580. https:\/\/doi.org\/10.1038\/s41598-022-14510-5<\/p>\n\n\n\n Lemos, L. S., Olsen, A., Smith, A., Burnett, J. D., Chandler, T. E., Larson, S., Hunt, K. E., & Torres, L. G. (2022). Stressed and slim or relaxed and chubby? A simultaneous assessment of gray whale body condition and hormone variability. Marine Mammal Science<\/em>, 38<\/em>(2), 801\u2013811. https:\/\/doi.org\/10.1111\/mms.12877<\/p>\n\n\n\n Nazario, E. C., Cade, D. E., Bierlich, K. C., Czapanskiy, M. F., Goldbogen, J. A., Kahane-Rapport, S. R., van der Hoop, J. M., San Luis, M. T., & Friedlaender, A. S. (2022). Baleen whale inhalation variability revealed using animal-borne video tags. PeerJ<\/em>, 10<\/em>, e13724. https:\/\/doi.org\/10.7717\/peerj.13724<\/p>\n\n\n\n Scordino, J., Carretta, J., Cottrell, P., Greenman, J., Savage, K., & Scordino, J. (2017). Ship Strikes and Entanglements of Gray Whales in the North Pacific Ocean. Cambridge: International Whaling Commission, 1924\u20132015<\/em>.<\/p>\n\n\n\n Sullivan, F. A., & Torres, L. G. (2018). Assessment of vessel disturbance to gray whales to inform sustainable ecotourism: Vessel Disturbance to Whales. The Journal of Wildlife Management<\/em>, 82<\/em>(5), 896\u2013905. https:\/\/doi.org\/10.1002\/jwmg.2146<\/a>2<\/p>\n\n\n\n Sumich, J. L. (1994). Oxygen extraction in free-swimming gray whale caves. Marine Mammal Science<\/em>, 10<\/em>(2), 226\u2013230. https:\/\/doi.org\/10.1111\/j.1748-7692.1994.tb00266.x<\/p>\n\n\n\n Torres, W., & Bierlich, K. (2020). MorphoMetriX: A photogrammetric measurement GUI for morphometric analysis of megafauna. Journal of Open Source Software<\/em>, 5<\/em>(45), 1825. https:\/\/doi.org\/10.21105\/joss.01825<\/a><\/p>\n\n\n\n Torres, L. G., Nieukirk, S. L., Lemos, L., & Chandler, T. E. (2018). Drone Up! Quantifying Whale Behavior From a New Perspective Improves Observational Capacity. Frontiers in Marine Science<\/em>, 5<\/em>, 319. https:\/\/doi.org\/10.3389\/fmars.2018.00319 By Annie Doron, Undergraduate Intern, Oregon State University, GEMM Laboratory\u00a0\u00a0 Hey up! My name is Annie Doron, and I am an undergraduate Environmental Science student from the University of Sheffield (UK) on my study year abroad. One of my main motivations for undertaking this year abroad was to gain experience working in a marine megafauna … Continue reading Title: \u201cBlown away\u201d: measuring the blowholes of whales from drones<\/span><\/a><\/p>\n","protected":false},"author":11422,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[636310,1310686,1310535],"tags":[1310790,140586,214862,635445,634945,513,1310791,148762,164122,214860],"class_list":["post-5175","post","type-post","status-publish","format-standard","hentry","category-gray-whale-foraging-ecology-and-vessel-disturbance","category-behavior-and-body-condition","category-oregon-whale-distribution","tag-blowholes","tag-conservation","tag-drones","tag-gemm-lab","tag-gray-whales","tag-marine-mammals","tag-nares","tag-oregon-coast","tag-photogrammetry","tag-uas"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/posts\/5175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/users\/11422"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/comments?post=5175"}],"version-history":[{"count":1,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/posts\/5175\/revisions"}],"predecessor-version":[{"id":5181,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/posts\/5175\/revisions\/5181"}],"wp:attachment":[{"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/media?parent=5175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/categories?post=5175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/gemmlab\/wp-json\/wp\/v2\/tags?post=5175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/a><\/figure>\n\n\n\n<\/a><\/figure>\n\n\n\n<\/a><\/figure>\n\n\n\n<\/a><\/figure>\n\n\n\n
Williams, T. M. (1999). The evolution of cost efficient swimming in marine mammals: Limits to energetic optimization. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences<\/em>, 354<\/em>(1380), 193\u2013201. https:\/\/doi.org\/10.1098\/rstb.1999.0371<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"