WEBVTT FILE 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