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 00:00:16,430 --> 00:00:20,510 [dolphin breathing] 6 00:00:20,530 --> 00:00:24,600 [dolphin breathing] Narrator: Scientist know very little about what causes 7 00:00:24,620 --> 00:00:28,730 these animals to strand. 8 00:00:28,750 --> 00:00:32,940 What has been proven is that a quick and efficient response in these moments 9 00:00:32,960 --> 00:00:37,000 is a matter of life and death. 10 00:00:37,020 --> 00:00:41,150 Katie Moore: If we can get there quickly and provide supportive care they have a much better prognosis 11 00:00:41,170 --> 00:00:45,290 in terms of survival. 12 00:00:45,310 --> 00:00:49,400 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. 13 00:00:49,420 --> 00:00:53,450 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 --> 00:01:01,680 Could it be possible to predict, rather than 16 00:01:01,700 --> 00:01:05,780 react to, these events? 17 00:01:05,800 --> 00:01:09,920 Katie Moore: If we develop an algorithm that pieces together the different variables 18 00:01:09,940 --> 00:01:13,990 that may be causing mass strandings or driving driving them, 19 00:01:14,010 --> 00:01:18,090 we'd have the ability to then prevent them. 20 00:01:18,110 --> 00:01:22,250 We can have teams out on the shore, looking for animals in those hotspots, knowing that all those variables 21 00:01:22,270 --> 00:01:26,310 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 --> 00:01:34,490 and more animals will survive the event. 24 00:01:34,510 --> 00:01:38,700 Narrator: In Cape Cod, the annual number of stranded animals ranges from less than 10 to over 200. 25 00:01:38,720 --> 00:01:42,880 Some of the most affected species include 26 00:01:42,900 --> 00:01:46,930 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 00:02:03,430 --> 00:02:07,550 triggers for these events. 32 00:02:07,570 --> 00:02:11,630 Desray Reeb: For the large proportion of these strandings the animal 33 00:02:11,650 --> 00:02:15,730 are across the ages, in pretty good health, and there's no really 34 00:02:15,750 --> 00:02:19,900 immediate evidence as to why they actually strand. 35 00:02:19,920 --> 00:02:24,060 [water sound] Narrator: Geomagnetic perception, 36 00:02:24,080 --> 00:02:28,240 the ability to navigate using Earth’s magnetic field, 37 00:02:28,260 --> 00:02:32,330 is a feature thought to exist in marine mammals. 38 00:02:32,350 --> 00:02:36,430 Could changes in the magnetic field confuse the animals? 39 00:02:36,450 --> 00:02:40,460 sensors like magnetometers can detect changes 40 00:02:40,480 --> 00:02:44,960 - called geomagnetic pulses or storms - 41 00:02:44,980 --> 00:02:36,760 One cause of such changes is activity from the sun known as space weather. 42 00:02:36,780 --> 00:02:48,890 Sensors like magnetometers can detect changes 43 00:02:48,910 --> 00:02:53,000 Desray Reeb: Geomagnetic perception is one of the theories. 44 00:02:53,020 --> 00:02:57,180 I thought, well, hmmm...if a magnetometer 45 00:02:57,200 --> 00:03:01,270 can pick it up, maybe the animals actually can pick it up. 46 00:03:01,290 --> 00:03:05,370 Dr. Reeb brought her hypothesis to Antti Pulkkinen, Research Astrophysicist 47 00:03:05,390 --> 00:03:09,410 from the Heliophysics department at NASA’s Goddard Space Flight Center in Greenbelt, MD. 48 00:03:09,430 --> 00:03:13,560 Antti Pulkkinen: The coolest thing was we realized 49 00:03:13,580 --> 00:03:17,660 that nobody had really taken a cold, hard data science analysis look at this problem 50 00:03:17,680 --> 00:03:21,760 Narrator: By combining Katie’s records 51 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, 52 00:03:25,900 --> 00:03:29,970 the team of researchers had a starting point. 53 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 54 00:03:34,100 --> 00:03:38,230 relationship or correlation between the occurrence of mass strandings 55 00:03:38,250 --> 00:03:42,320 and any solar activity. 56 00:03:42,340 --> 00:03:46,400 Antti Pulkkinen: So, the data we have correlated or analyzed so far is information about local geomagnetic conditions. 57 00:03:46,420 --> 00:03:50,570 We have long data records from geophysical observatories 58 00:03:50,590 --> 00:03:54,610 of the local geomagnetic field variations 59 00:03:54,630 --> 00:03:58,800 and marine mammal strandings. 60 00:03:58,820 --> 00:04:02,980 Narrator: When the team analyzed all the data, they found that measurements from the the same 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 00:04:52,490 --> 00:04:56,530 Ocean color - measurements of the water’s chemical and particle content - 74 00:04:56,550 --> 00:05:00,580 Perhaps sea surface temperature 75 00:05:00,600 --> 00:05:04,710 was a factor too. 76 00:05:04,730 --> 00:05:08,740 With the help of data from NASA Earth Science missions, they could also explore these possibilities. 77 00:05:08,760 --> 00:05:12,860 [Antti talks to team] 78 00:05:12,880 --> 00:05:17,000 Narrator: With more data in hand, it was time to expand the team. 79 00:05:17,020 --> 00:05:21,100 They recruited statisticians, and the expertise of NASA Earth Science 80 00:05:21,120 --> 00:05:25,220 data analyst and oceanographer Erdem Karaköylü. 81 00:05:25,240 --> 00:05:29,290 Erdem Karaköylü: A data set, no matter its shape or content, it always 82 00:05:29,310 --> 00:05:33,380 has a story to tell. 83 00:05:33,400 --> 00:05:37,500 Trying to figure out how the different data are connected requires a wide diversity of stills and background knowledge. 84 00:05:37,520 --> 00:05:41,670 Katie Moore: For example, I'll be explaining 85 00:05:41,690 --> 00:05:45,740 how a mass stranding how we respond to try and understand why 86 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 87 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 88 00:05:53,990 --> 00:05:58,150 at it from a totally new angle with no background. 89 00:05:58,170 --> 00:06:02,260 Narrator: The group hopes to combine these data sets in a way that reveals a pattern, allowing them to predict the likelihood 90 00:06:02,280 --> 00:06:06,320 and location of mass strandings before they happen. 91 00:06:06,340 --> 00:06:10,380 Desray Reeb: We've really just slowly peeled the first layer of this onion back. 92 00:06:10,400 --> 00:06:14,520 I think there is so many more layers 93 00:06:14,540 --> 00:06:18,680 that still need to be addressed and looked at. 94 00:06:18,700 --> 00:06:22,780 I hope that we can actually find additional collaborators and funding partners to really bring all the data 95 00:06:22,800 --> 00:06:26,850 that is really available to really give this the study 96 00:06:26,870 --> 00:06:30,980 and the scrutiny that it deserves. 97 00:06:31,000 --> 00:06:35,160 Antti Pulkkinen: And we are also going to make all these data sets available to the entire scientific community, 98 00:06:35,180 --> 00:06:39,270 so that we can utilize the entire scientific community to attack and approach this problem. 99 00:06:39,290 --> 00:06:43,440 and approach this problem. 100 00:06:43,460 --> 00:06:47,550 Narrator: The project’s legacy rests not only in a predictive tool, but also as an example 101 00:06:47,570 --> 00:06:51,690 for collaborative research moving forward. 102 00:06:51,710 --> 00:06:55,770 Erdem Karaköylü: I think that there will be other things that that people might be able to take and run with 103 00:06:55,790 --> 00:06:59,770 maybe add more data. I'm hoping also that it will be a model 104 00:06:59,790 --> 00:07:03,820 for how projects can then be open to the wider public. 105 00:07:03,840 --> 00:07:07,980 [rescue volunteers talking] 106 00:07:08,000 --> 00:07:12,170 Narrator: With the potential for an even broader collaboration ahead, 107 00:07:12,190 --> 00:07:16,380 Katie's rescue team is optimistic that they will gain a deeper 108 00:07:16,400 --> 00:07:20,460 understanding of strandings - and ultimately - save more lives. 109 00:07:20,480 --> 00:07:24,640 Katie Moore: The ability to release animals after they have stranded is tremendous. 110 00:07:24,660 --> 00:07:28,720 When we do that, that's the best feeling in the world after all that hard work. 111 00:07:28,740 --> 00:07:32,820 Desray: those questions that seem unanswerable, 112 00:07:32,840 --> 00:07:37,010 if you give them time, and support, 113 00:07:37,030 --> 00:07:41,090 and effort, and put people on them, we can do amazing things. 114 00:07:41,110 --> 00:07:45,190 [music] 115 00:07:45,210 --> 00:07:49,390 [water sounds] 116 00:07:49,410 --> 00:07:55,490 learn more at www.nasa.gov/beachings 117 00:07:55,510 --> 00:07:58,540 special thanks to International Fund for Animal Welfare. 118 00:07:58,560 --> 00:08:00,070 All marine mammal stranding activities are conducted by 119 00:08:00,090 --> 00:08:00,830 International Fund for Animal Welfare under a permit agreement 120 00:08:00,850 --> 00:08:01,600 with the National Oceanic and Atmospheric Administration. 121 00:08:01,620 --> 00:08:07,670 special thanks to Bureau of Ocean Energy Management 122 00:08:07,690 --> 00:08:13,780 [tone] NASA Heliophysics 123 00:08:13,800 --> 00:08:13,780 [spacecraft beeps] NASA 124 00:08:13,800 --> 00:08:21,147 [spacecraft beeps] NASA's Goddard Space Flight Center www.nasa.gov/goddard