1 00:00:00,030 --> 00:00:04,040 [ocean sounds] [music throughout] 2 00:00:04,060 --> 00:00:08,240 Narrator: Cape Cod, MA is known for its beautiful beaches. 3 00:00:08,260 --> 00:00:12,390 This scenic landscape is also home 4 00:00:12,410 --> 00:00:16,410 to one of the most frequent marine mammal stranding sites in the world. 5 00:00:24,600 --> 00:00:20,510 [dolphin breathing] 6 00:00:24,620 --> 00:00:28,730 these animals to strand. 7 00:00:28,750 --> 00:00:32,940 What has been proven is that a quick and efficient response in these moments 8 00:00:32,960 --> 00:00:35,320 is a matter of life and death. 9 00:00:35,320 --> 00:00:39,340 Katie Moore: If we can get there quickly and provide supportive care they have a much better prognosis 10 00:00:39,340 --> 00:00:40,960 in terms of survival. 11 00:00:40,960 --> 00:00:44,380 Narrator: Katie Moore works on the front lines, as the Deputy Vice President of Conservation and Animal Welfare at the International Fund for Animal Welfare. 12 00:00:44,500 --> 00:00:48,760 Conservation and Animal Welfare at the International Fund for Animal Welfare. 13 00:00:49,420 --> 00:00:53,460 Through Moore’s fine-tuned rescue efforts, she has increased the survival rate 14 00:00:53,470 --> 00:00:57,560 from 14% to 75%, but the question remains: 15 00:00:57,580 --> 00:01:01,260 Could it be possible to predict, rather than 16 00:01:01,260 --> 00:01:03,800 react to, these events? 17 00:01:03,880 --> 00:01:08,920 Katie Moore: If we develop an algorithm that pieces together the different variables 18 00:01:09,060 --> 00:01:13,120 that may be causing mass strandings or driving driving them, 19 00:01:13,280 --> 00:01:16,520 we'd have the ability to then prevent them. 20 00:01:16,520 --> 00:01:21,820 We can have teams out on the shore, looking for animals in those hotspots, knowing that all those variables 21 00:01:21,980 --> 00:01:26,300 have come together, and this is the likely point in time where we are likely to see it. 22 00:01:26,330 --> 00:01:30,380 We can also have teams ready to respond, so that if they do strand, we are there that much faster, 23 00:01:30,400 --> 00:01:33,200 and more animals will survive the event. 24 00:01:33,200 --> 00:01:40,160 Narrator: In Cape Cod, the annual number of stranded animals ranges from less than 10 to over 200. 25 00:01:40,480 --> 00:01:43,640 Some of the most affected species include 26 00:01:43,640 --> 00:01:46,940 pilot whales and whitesided dolphins, 27 00:01:46,950 --> 00:01:51,050 creatures that are typically found in deeper water, rather than along the coast. 28 00:01:51,070 --> 00:01:55,110 The ongoing search for answers began 400 miles 29 00:01:55,130 --> 00:01:59,220 away at the Bureau of Ocean Energy Management in Sterling, VA. 30 00:01:59,240 --> 00:02:03,410 There, fellow marine biologist Desray Reeb had some initial thoughts on 31 00:02:03,420 --> 00:02:06,620 triggers for these events. 32 00:02:06,620 --> 00:02:10,440 Desray Reeb: For the large proportion of these strandings the animals 33 00:02:10,440 --> 00:02:15,540 are across the ages, in pretty good health, and there's no really 34 00:02:15,740 --> 00:02:19,900 immediate evidence as to why they actually strand. 35 00:02:19,920 --> 00:02:23,800 [water sound] Narrator: Geomagnetic perception, 36 00:02:23,800 --> 00:02:27,020 the ability to navigate using Earth’s magnetic field, 37 00:02:27,020 --> 00:02:30,460 is a feature thought to exist in marine mammals. 38 00:02:30,460 --> 00:02:34,360 Could changes in the magnetic field confuse the animals? 39 00:02:34,440 --> 00:02:39,460 All the way down to the sea floor, Sensors like magnetometers can detect changes 40 00:02:39,460 --> 00:02:44,960 in Earth's magnetic field - called geomagnetic pulses or storms - 41 00:02:44,980 --> 00:02:49,780 One cause of such changes is activity from the sun known as space weather. 42 00:02:49,780 --> 00:02:54,100 Desray Reeb: Geomagnetic perception is one of the theories. 43 00:02:54,100 --> 00:02:57,180 I thought, well, hmmm...if a magnetometer 44 00:02:57,200 --> 00:03:01,020 can pick it up, maybe the animals actually can pick it up. 45 00:03:01,020 --> 00:03:05,040 Dr. Reeb brought her hypothesis to Antti Pulkkinen, Research Astrophysicist 46 00:03:05,040 --> 00:03:10,280 from the Heliophysics department at NASA’s Goddard Space Flight Center in Greenbelt, MD. 47 00:03:10,280 --> 00:03:13,560 Antti Pulkkinen: The coolest thing was we realized 48 00:03:13,580 --> 00:03:17,660 that nobody had really taken a cold, hard data science analysis look at this problem 49 00:03:17,680 --> 00:03:21,760 Narrator: By combining Katie’s records 50 00:03:21,780 --> 00:03:25,880 on marine mammal strandings in Cape Cod and Antti’s records of the changes in Earth’s magnetic field, 51 00:03:25,900 --> 00:03:29,970 the team of researchers had a starting point. 52 00:03:29,990 --> 00:03:34,080 Katie Moore: What we are trying to look at here was if there was a potential driver or 53 00:03:34,100 --> 00:03:38,230 relationship or correlation between the occurrence of mass strandings 54 00:03:38,240 --> 00:03:40,240 and any solar activity. 55 00:03:40,240 --> 00:03:46,320 Antti Pulkkinen: So, the data we have correlated or analyzed so far is information about local geomagnetic conditions. 56 00:03:46,420 --> 00:03:50,580 We have long data records from geophysical observatories 57 00:03:50,580 --> 00:03:54,120 of the local geomagnetic field variations 58 00:03:54,120 --> 00:03:56,840 and marine mammal strandings. 59 00:03:56,840 --> 00:04:01,000 Narrator: When the team analyzed all the data, they found that measurements from the the same 60 00:04:01,000 --> 00:04:03,000 time period or random time periods 61 00:04:03,000 --> 00:04:07,080 produced similar results, meaning that there is no obvious 62 00:04:07,100 --> 00:04:11,260 relationship between geomagnetic changes and stranding in Cape Cod. 63 00:04:11,280 --> 00:04:15,420 If space weather wasn’t the trigger, what could be? 64 00:04:15,440 --> 00:04:19,540 Desray Reeb: The easy fix correlation between the geomagnetic pulse 65 00:04:19,560 --> 00:04:23,710 and “Ohh! A stranding!” doesn't seem to be very 66 00:04:23,730 --> 00:04:27,780 evident, but what it does show is that there are multiple variables 67 00:04:27,800 --> 00:04:31,890 involved in this equation. The geomagnetic storms could 68 00:04:31,910 --> 00:04:35,990 be one very small part of it - significant still - but 69 00:04:36,010 --> 00:04:40,210 it looks like there are multiple oceanographic and environmental elements 70 00:04:40,230 --> 00:04:44,290 Narrator: The scientists considered what other variables 71 00:04:44,310 --> 00:04:48,340 may exist in the air or water that could change animal behavior. 72 00:04:48,360 --> 00:04:52,470 Tides or winds could be disruptive. 73 00:04:52,480 --> 00:04:56,520 Ocean color - measurements of the water’s chemical and particle content - 74 00:04:56,520 --> 00:04:59,380 could reflect changes in the food chain. 75 00:04:59,380 --> 00:05:02,480 Perhaps sea surface temperature 76 00:05:02,480 --> 00:05:04,720 was a factor too. 77 00:05:04,730 --> 00:05:08,740 With the help of data from NASA Earth Science missions, they could also explore these possibilities. 78 00:05:08,760 --> 00:05:12,860 [Antti talks to team] 79 00:05:12,880 --> 00:05:17,000 Narrator: With more data in hand, it was time to expand the team. 80 00:05:17,020 --> 00:05:21,100 They recruited statisticians, and the expertise of NASA Earth Science 81 00:05:21,120 --> 00:05:25,220 data analyst and oceanographer Erdem Karaköylü. 82 00:05:25,240 --> 00:05:29,290 Erdem Karaköylü: A data set, no matter its shape or content, it always 83 00:05:29,300 --> 00:05:31,260 has a story to tell. 84 00:05:31,260 --> 00:05:36,240 Trying to figure out how the different data are connected 85 00:05:36,240 --> 00:05:39,660 requires a wide diversity of stills and background knowledge. 86 00:05:39,940 --> 00:05:42,800 Katie Moore: For example, I'll be explaining 87 00:05:42,800 --> 00:05:45,740 how a mass stranding how we respond to try and understand why 88 00:05:45,760 --> 00:05:49,850 we are presenting the data in a certain way, and my colleagues from NASA will look at me and ask 89 00:05:49,870 --> 00:05:53,970 questions that I wouldn't think to ask, because I take for granted my understanding, and they are coming 90 00:05:53,980 --> 00:05:56,920 at it from a totally new angle with no background. 91 00:05:56,920 --> 00:06:01,020 Narrator: The group hopes to combine these data sets in a way that reveals a pattern, allowing them to predict 92 00:06:01,020 --> 00:06:05,900 the likelihood and location of mass strandings before they happen. 93 00:06:05,900 --> 00:06:09,940 Desray Reeb: We've really just slowly peeled the first layer of this onion back. 94 00:06:10,400 --> 00:06:13,800 I think there is so many more layers 95 00:06:13,800 --> 00:06:16,940 that still need to be addressed and looked at. 96 00:06:16,940 --> 00:06:22,680 I hope that we can actually find additional collaborators and funding partners to really bring all the data 97 00:06:22,800 --> 00:06:26,860 that is really available to really give this the study 98 00:06:26,860 --> 00:06:29,580 and the scrutiny that it deserves. 99 00:06:29,580 --> 00:06:35,140 Antti Pulkkinen: And we are also going to make all these data sets available to the entire scientific community, 100 00:06:35,180 --> 00:06:39,280 so that we can utilize the entire scientific community to attack and approach this problem. 101 00:06:39,280 --> 00:06:42,080 and approach this problem. 102 00:06:42,080 --> 00:06:47,400 Narrator: The project’s legacy rests not only in a predictive tool, but also as an example 103 00:06:47,560 --> 00:06:50,020 for collaborative research moving forward. 104 00:06:50,020 --> 00:06:54,980 Erdem Karaköylü: I think that there will be other things to take and run with, 105 00:06:55,040 --> 00:06:59,600 get new ideas, maybe add more data. I'm hoping also that it will be a model 106 00:06:59,780 --> 00:07:05,840 for how projects can then be open to the wider public. 107 00:07:06,000 --> 00:07:08,660 [rescue volunteers talking] 108 00:07:08,660 --> 00:07:12,180 Narrator: With the potential for an even broader collaboration ahead, 109 00:07:12,190 --> 00:07:16,380 Katie's rescue team is optimistic that they will gain a deeper 110 00:07:16,400 --> 00:07:20,460 understanding of strandings - and ultimately - save more lives. 111 00:07:20,480 --> 00:07:24,640 Katie Moore: The ability to release animals after they have stranded is tremendous. 112 00:07:24,660 --> 00:07:29,200 When we do that, that's the best feeling in the world after all that hard work. 113 00:07:29,200 --> 00:07:32,820 Desray: those questions that seem unanswerable, 114 00:07:32,840 --> 00:07:37,010 if you give them time, and support, 115 00:07:37,030 --> 00:07:41,090 and effort, and put people on them, we can do amazing things. 116 00:07:41,110 --> 00:07:45,190 [music] 117 00:07:45,200 --> 00:07:48,240 [water sounds] 118 00:07:48,240 --> 00:07:53,200 learn more at www.nasa.gov/beachings 119 00:07:53,360 --> 00:07:56,920 special thanks to International Fund for Animal Welfare. 120 00:07:57,140 --> 00:08:00,040 All marine mammal stranding activities are conducted by 121 00:08:00,080 --> 00:08:02,400 International Fund for Animal Welfare under a permit agreement 122 00:08:02,400 --> 00:08:04,880 with the National Oceanic and Atmospheric Administration. 123 00:08:04,980 --> 00:08:08,280 special thanks to Bureau of Ocean Energy Management 124 00:08:08,280 --> 00:08:12,340 [tone] NASA Heliophysics