1 00:00:01,501 --> 00:00:04,879 (water splashing) 2 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.MX 3 00:00:04,963 --> 00:00:09,009 NARRATOR: There are some places where a day at the beach... 4 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.MX 5 00:00:09,926 --> 00:00:16,307 can turn into an unexpected encounter with the ocean's top predator. 6 00:00:16,391 --> 00:00:17,475 (gurgling) 7 00:00:17,934 --> 00:00:18,977 (dramatic music) 8 00:00:19,686 --> 00:00:20,812 WOMAN: There's sharks out here? Right now? 9 00:00:22,230 --> 00:00:24,149 SURFER: Look at that. I'm shaking like a leaf. 10 00:00:26,276 --> 00:00:28,528 DR. CHRIS LOWE: We're seeing things that I just never expected 11 00:00:28,611 --> 00:00:30,613 -I would see. -BOYS: Oh my god! 12 00:00:30,697 --> 00:00:31,698 It's a different ocean. 13 00:00:33,450 --> 00:00:34,868 MAN: This is Jaws unfolding. 14 00:00:35,493 --> 00:00:36,494 (shouts) 15 00:00:38,079 --> 00:00:39,664 (splashing, gurgling) 16 00:00:40,248 --> 00:00:43,251 (gurgling) 17 00:00:45,253 --> 00:00:48,256 (tense music) 18 00:00:49,257 --> 00:00:51,259 NARRATOR: Santa Barbara, California. 19 00:00:52,052 --> 00:00:57,348 The golden coast. Home to world-famous beaches. 20 00:00:57,432 --> 00:00:59,809 (splashing) 21 00:00:59,893 --> 00:01:04,773 And now, large numbers of great white sharks. 22 00:01:06,524 --> 00:01:08,026 SURFER: Oh my god, right under the board. 23 00:01:08,985 --> 00:01:11,279 (dramatic music) 24 00:01:11,821 --> 00:01:15,366 LESTER HOLT: Great white sharks getting way too close up and down the coast. 25 00:01:15,825 --> 00:01:18,953 NARRATOR: The surge in sightings is hitting the headlines. 26 00:01:19,037 --> 00:01:23,166 KAYAKER: It was like a foot from my face, grabbing onto the kayak right here. 27 00:01:23,249 --> 00:01:24,542 SURFER: Oh my gosh, dude. 28 00:01:24,626 --> 00:01:26,336 NARRATOR: And with shark numbers still going up... 29 00:01:26,920 --> 00:01:29,130 (rumbling) 30 00:01:29,214 --> 00:01:32,467 ...a team of scientists have come to investigate. 31 00:01:35,095 --> 00:01:39,307 Chris Lowe's SharkLab have some big questions to answer. 32 00:01:40,642 --> 00:01:43,436 LOWE: We have lots of sharks. We have lots of people. 33 00:01:45,688 --> 00:01:47,482 The public are wondering what's going on, 34 00:01:47,565 --> 00:01:49,609 what are the sharks doing here, and is it safe 35 00:01:49,692 --> 00:01:51,361 for my kids to swim or surf in this beach? 36 00:01:52,028 --> 00:01:52,987 (gurgling) 37 00:01:53,071 --> 00:01:54,739 NARRATOR: With public safety at stake... 38 00:01:55,949 --> 00:01:59,577 they must attempt an ambitious new scientific experiment. 39 00:02:00,995 --> 00:02:03,873 (rock music) 40 00:02:03,957 --> 00:02:05,792 (boats roaring) 41 00:02:05,875 --> 00:02:10,255 One day, three miles of Californian coast, 42 00:02:11,464 --> 00:02:13,466 and seven boats. 43 00:02:14,676 --> 00:02:16,678 (rumbling) 44 00:02:17,303 --> 00:02:20,140 This is a great white stakeout. 45 00:02:21,558 --> 00:02:22,517 The aim? 46 00:02:23,726 --> 00:02:27,105 Find out how many sharks cruise Santa Barbara's waters 47 00:02:28,523 --> 00:02:31,025 and understand what's bringing them here. 48 00:02:32,735 --> 00:02:39,200 Crucial data that could change how sharks and people share the water forever. 49 00:02:42,120 --> 00:02:43,746 The stage has been set for today, 50 00:02:43,830 --> 00:02:46,708 and now I'm just really excited to finally get out there and see what we find. 51 00:02:47,584 --> 00:02:50,128 PATRICK REX: This has, to my knowledge, never been done before. 52 00:02:51,129 --> 00:02:54,048 -NARRATOR: Joining the mission... -ANDY CASAGRANDE: SharkLab, do you copy? 53 00:02:54,132 --> 00:02:57,385 NARRATOR: ...is filmmaker Andy Casagrande. 54 00:02:57,468 --> 00:02:59,846 CASAGRANDE: While the SharkLab is in charge of the science, 55 00:02:59,929 --> 00:03:03,683 I'll be filming the entire event. The science, the people, and the sharks. 56 00:03:04,851 --> 00:03:06,978 NARRATOR: To stay on top of the action, 57 00:03:07,061 --> 00:03:10,899 Andy has brought the ultimate in nonstop aerial surveillance. 58 00:03:11,232 --> 00:03:14,402 CASAGRANDE: Drones are some of the coolest technology on the planet, 59 00:03:14,485 --> 00:03:18,072 but you gotta land them to change batteries. But, this drone is different. 60 00:03:18,156 --> 00:03:20,867 I'm powering this drone from the boat from a tether 61 00:03:20,950 --> 00:03:24,579 which is going to allow me to fly essentially nonstop. 62 00:03:24,662 --> 00:03:27,498 Just like great white sharks, they never stop swimming, 63 00:03:27,582 --> 00:03:29,709 and this drone's never going to stop flying. 64 00:03:29,792 --> 00:03:31,669 It's the perfect tool for the stakeout. 65 00:03:32,503 --> 00:03:33,713 (click) 66 00:03:33,796 --> 00:03:37,217 NARRATOR: Drones will be key to the success of today's mission. 67 00:03:38,343 --> 00:03:41,429 They can search vast areas of water at speed. 68 00:03:42,889 --> 00:03:48,311 And provide an incredible new perspective on these elusive predators. 69 00:03:49,896 --> 00:03:52,899 (dramatic music) 70 00:03:52,982 --> 00:03:54,317 (splashing) 71 00:03:54,400 --> 00:03:56,945 (gurgling) 72 00:03:59,239 --> 00:04:01,741 Great whites grow up to 20 feet long. 73 00:04:04,285 --> 00:04:07,288 And can pack over 5,000 pounds of muscle. 74 00:04:11,209 --> 00:04:15,546 Yet despite their size, they often go unnoticed. 75 00:04:18,591 --> 00:04:22,220 A type of camouflage known as counter-shading 76 00:04:22,303 --> 00:04:24,806 gives these sharks the predatory edge. 77 00:04:26,933 --> 00:04:29,894 They're dark on top, but pale underneath. 78 00:04:31,980 --> 00:04:33,356 So, under water, 79 00:04:34,232 --> 00:04:38,695 they blend into the background, whether seen from above... 80 00:04:40,154 --> 00:04:41,864 or below. 81 00:04:44,659 --> 00:04:46,411 But all that changes... 82 00:04:49,706 --> 00:04:51,040 from the air. 83 00:04:51,124 --> 00:04:55,211 CASAGRANDE: Alright! Here we go! Tethered drone taking off. 84 00:04:55,295 --> 00:04:59,340 -(beep, whirring) -(beeping) 85 00:04:59,424 --> 00:05:04,887 NARRATOR: From high in the sky, a shark's camouflage can't hide them, 86 00:05:04,971 --> 00:05:07,348 and their cover will be blown. 87 00:05:08,516 --> 00:05:10,518 CASAGRANDE: Let's try to find some sharks here. 88 00:05:10,601 --> 00:05:12,353 (whirring) 89 00:05:16,357 --> 00:05:18,901 NARRATOR: The best view of what's below the surface 90 00:05:20,778 --> 00:05:22,780 comes from high above. 91 00:05:24,073 --> 00:05:26,951 Andy's drone scans from the sky. 92 00:05:30,079 --> 00:05:32,206 -(laughter) -And while down at water level, 93 00:05:33,041 --> 00:05:35,376 it looks like every other day at the beach... 94 00:05:36,753 --> 00:05:39,672 -(waves crashing) -(chatter) 95 00:05:40,381 --> 00:05:42,091 the view from above... 96 00:05:43,760 --> 00:05:44,802 Whoa, whoa, right there! 97 00:05:50,016 --> 00:05:52,518 NARRATOR: ...reveals a very different story. 98 00:05:54,520 --> 00:05:59,609 A drone's-eye view detects an unmistakable silhouette. 99 00:06:01,694 --> 00:06:03,071 Now, you see it. 100 00:06:04,655 --> 00:06:06,074 Now, you don't. 101 00:06:09,744 --> 00:06:13,247 CASAGRANDE: It's pretty incredible. There's sharks everywhere. 102 00:06:14,749 --> 00:06:16,959 Literally right under the boards of these people. 103 00:06:18,086 --> 00:06:20,922 Right under their noses, and they don't even see it! 104 00:06:22,048 --> 00:06:23,549 NARRATOR: Down at water-level, 105 00:06:24,717 --> 00:06:27,720 glare and reflections can easily distract, 106 00:06:28,721 --> 00:06:31,766 hiding what looks obvious from high above. 107 00:06:32,392 --> 00:06:34,769 (dramatic music) 108 00:06:38,356 --> 00:06:41,317 CASAGRANDE: I got a lot of sharks in the area. This is incredible. 109 00:06:41,943 --> 00:06:46,447 NARRATOR: It looks too close for comfort, but are people in danger? 110 00:06:46,531 --> 00:06:48,449 (gurgling) 111 00:06:53,162 --> 00:06:56,124 Despite Santa Barbara's increase in shark sightings, 112 00:06:56,916 --> 00:07:01,671 there hasn't been a fatal shark bite here in almost a decade. 113 00:07:03,506 --> 00:07:07,093 A stat that today's survey will help unpack. 114 00:07:07,635 --> 00:07:09,929 (motors running) 115 00:07:11,639 --> 00:07:13,724 -CASAGRANDE: Synchronize watches. -(watches beeping) 116 00:07:13,808 --> 00:07:16,394 Alright, great white stakeout, here we go! 117 00:07:16,477 --> 00:07:19,147 (whirring) 118 00:07:21,357 --> 00:07:23,943 CREW MEMBER: Alright, and three, two, one, here we go. 119 00:07:24,026 --> 00:07:26,821 (whirring) 120 00:07:29,532 --> 00:07:30,533 (radio beep) 121 00:07:30,616 --> 00:07:33,369 LOWE: The last sightings have been around 175 meters off the beach. 122 00:07:33,453 --> 00:07:34,454 (radio beep) 123 00:07:35,288 --> 00:07:39,500 NARRATOR: Where the sharks gather changes day to day. 124 00:07:40,334 --> 00:07:42,044 (whirring) 125 00:07:42,128 --> 00:07:47,383 -Drones help the team search the area. -CASAGRANDE: So far, I see a lot of kelp. 126 00:07:50,595 --> 00:07:52,972 They can travel pretty far in a short period of time. 127 00:07:54,140 --> 00:07:55,641 (whirring) 128 00:08:00,146 --> 00:08:02,732 -Chris, how's it looking out there? -(walkie-talkie beep) 129 00:08:03,691 --> 00:08:05,318 LOWE: So far Pat's covered a lot of water 130 00:08:05,401 --> 00:08:07,069 and hasn't seen anything yet. How about you? 131 00:08:07,862 --> 00:08:09,780 CASAGRANDE: I got nothing yet. I'll keep flying, 132 00:08:09,864 --> 00:08:11,616 and if I see anything, I'll let you know. 133 00:08:12,617 --> 00:08:13,493 LOWE: Standing by. 134 00:08:15,119 --> 00:08:16,621 (whirring) 135 00:08:20,124 --> 00:08:21,834 Hey, Patrick, you're almost out of juice. 136 00:08:21,918 --> 00:08:24,420 Maybe it's time to come back and re-battery? 137 00:08:24,504 --> 00:08:26,047 -REX: Roger that. -(radio beep) 138 00:08:27,715 --> 00:08:29,300 Got the birds coming in. 139 00:08:29,383 --> 00:08:33,930 NARRATOR: Leading the SharkLab drone patrol is Patrick Rex. 140 00:08:34,013 --> 00:08:35,264 (drone whirring) 141 00:08:35,348 --> 00:08:37,266 REX: Nice work, gentlemen. 142 00:08:38,309 --> 00:08:40,895 CASAGRANDE: I love drones. Essentially a camera you can put anywhere, 143 00:08:40,978 --> 00:08:42,480 and it's remote control. 144 00:08:42,563 --> 00:08:46,150 But, for science, what exactly are you using these drones for? 145 00:08:46,234 --> 00:08:48,236 Yeah, I mean, it's actually changed the game of ecology. 146 00:08:48,319 --> 00:08:51,280 We can survey quite a large area in a really short amount of time. 147 00:08:51,364 --> 00:08:53,282 So, what I do is I fly about a kilometer away, 148 00:08:53,366 --> 00:08:54,617 following the shoreline, 149 00:08:54,700 --> 00:08:57,495 looking for sharks and people in the same water at the same time. 150 00:08:57,578 --> 00:09:00,248 CASAGRANDE: Sharks and people, so you're going for behavior? 151 00:09:00,331 --> 00:09:01,332 REX: Yeah, exactly. 152 00:09:01,415 --> 00:09:04,168 (waves crashing) 153 00:09:04,252 --> 00:09:05,503 NARRATOR: The team wants to know... 154 00:09:06,629 --> 00:09:08,881 how many sharks are out there. 155 00:09:10,550 --> 00:09:14,428 So, another fleet of drones will run a head count. 156 00:09:14,512 --> 00:09:17,640 (whirring) 157 00:09:17,723 --> 00:09:21,936 Every shark passing through the football field-sized survey area 158 00:09:22,019 --> 00:09:23,854 will be filmed and logged. 159 00:09:23,938 --> 00:09:25,940 (beeping) 160 00:09:27,608 --> 00:09:30,069 But the drones have their limits. 161 00:09:32,738 --> 00:09:35,074 LOWE: The water is murky, and the shark is literally two feet 162 00:09:35,157 --> 00:09:36,826 below the surface. You can't see it. 163 00:09:36,909 --> 00:09:39,120 (tense music) 164 00:09:40,663 --> 00:09:44,292 NARRATOR: The only way to confirm how many sharks are really out there 165 00:09:46,085 --> 00:09:50,423 is to get above... and beneath the surface. 166 00:09:50,506 --> 00:09:52,300 (boat roaring) 167 00:09:52,383 --> 00:09:55,803 Andy is about to witness the ultimate chase. 168 00:09:57,555 --> 00:09:59,098 CASAGRANDE: Coming right across the bow. 169 00:10:07,398 --> 00:10:09,400 (dramatic music) 170 00:10:09,483 --> 00:10:11,485 CASAGRANDE: We're trying to determine what happens 171 00:10:11,569 --> 00:10:15,072 when a beach full of people meet an ocean full of sharks. 172 00:10:15,156 --> 00:10:16,115 (gurgling) 173 00:10:16,198 --> 00:10:18,075 SURFER: Oh my god. Right under the board. 174 00:10:20,870 --> 00:10:24,415 NARRATOR: To understand Santa Barbara's surge in shark sightings, 175 00:10:25,708 --> 00:10:29,211 SharkLab needs to know what numbers they're dealing with. 176 00:10:29,295 --> 00:10:30,713 (beeping) 177 00:10:30,796 --> 00:10:32,506 For the very first time, 178 00:10:32,590 --> 00:10:35,926 they're combining two different techniques. 179 00:10:36,010 --> 00:10:37,094 (whirring) 180 00:10:37,178 --> 00:10:40,097 Drones count sharks from above... 181 00:10:40,973 --> 00:10:45,853 while the next phase of the mission will count them from below. 182 00:10:48,481 --> 00:10:50,691 Fitting sharks with tags. 183 00:10:50,775 --> 00:10:55,780 -(clicking) -(indistinct chatter) 184 00:10:55,863 --> 00:10:59,325 Time for Andy and the team to stalk the stalker. 185 00:11:01,744 --> 00:11:06,832 Great whites are apex predators that hunt using stealth and speed. 186 00:11:07,792 --> 00:11:10,920 They aren't used to being the ones being tailed. 187 00:11:11,712 --> 00:11:14,799 CASAGRANDE: Alright. We got a diver in the water. 188 00:11:18,427 --> 00:11:22,390 (tense music) 189 00:11:27,353 --> 00:11:28,979 The entire team's deployed. 190 00:11:29,063 --> 00:11:31,524 We got two drones up in the sky, three boats, 191 00:11:31,607 --> 00:11:33,192 jet skis. 192 00:11:34,568 --> 00:11:36,821 If the sharks are here, we're going to find them. 193 00:11:36,904 --> 00:11:39,865 (boats rumbling) 194 00:11:47,581 --> 00:11:50,543 Looks like we got one out here about 100 meters. 195 00:11:54,338 --> 00:11:57,633 NARRATOR: Leading the tagging operation is Emily Spurgeon. 196 00:11:58,092 --> 00:12:00,010 SPURGEON: We had to sneak up on these sharks 197 00:12:00,094 --> 00:12:03,139 while they're swimming at the surface and use a pole spear or a harpoon. 198 00:12:03,222 --> 00:12:05,850 We'll just jab the tag right at the dorsal fin 199 00:12:05,933 --> 00:12:07,518 and give them a new bit of jewelry. 200 00:12:07,601 --> 00:12:10,187 -(click) -CREW MEMBER: Yes! 201 00:12:14,024 --> 00:12:16,026 SPURGEON: We essentially are doing a dance with the sharks. 202 00:12:16,110 --> 00:12:18,154 (rock music) 203 00:12:18,237 --> 00:12:19,447 We call it the do-si-do. 204 00:12:23,117 --> 00:12:25,119 We'll just circle dance with these sharks. 205 00:12:25,202 --> 00:12:26,829 (indistinct chatter) 206 00:12:36,046 --> 00:12:37,256 -(click) -(splash) 207 00:12:38,716 --> 00:12:41,635 (beeping) 208 00:12:41,719 --> 00:12:44,555 NARRATOR: Each tag gives off a unique sound. 209 00:12:45,347 --> 00:12:49,977 It can't be heard by sharks or people, but can be picked up 210 00:12:50,060 --> 00:12:54,356 by the 27 underwater receivers rigged along this coast. 211 00:12:55,357 --> 00:12:59,612 LOWE: Every time a shark swims within 300 yards of one of those receivers, 212 00:12:59,695 --> 00:13:02,740 the receiver will log the time, the date, and the ID number. 213 00:13:02,823 --> 00:13:05,242 So think of it like E-ZPass on the toll road. 214 00:13:05,326 --> 00:13:07,745 -CREW MEMBER: Woo-hoo! -(click) 215 00:13:08,788 --> 00:13:09,830 Perfect! 216 00:13:11,665 --> 00:13:15,711 NARRATOR: Problem is to get the tracking data, 217 00:13:16,545 --> 00:13:18,005 you need to go fetch it. 218 00:13:19,965 --> 00:13:22,968 Diving deep into shark-filled waters. 219 00:13:23,761 --> 00:13:25,387 CASAGRANDE: Great white sharks, murky water. 220 00:13:25,471 --> 00:13:27,014 -What could go wrong, right? -REX: Let's do it. 221 00:13:27,097 --> 00:13:28,599 (splash) 222 00:13:28,682 --> 00:13:30,184 (gurgling) 223 00:13:33,521 --> 00:13:36,273 NARRATOR: With water visibility this bad, 224 00:13:36,357 --> 00:13:39,819 the divers have no idea what's right behind them. 225 00:13:43,364 --> 00:13:47,910 Andy joins the mission, camera in hand, ready to film 226 00:13:47,993 --> 00:13:49,995 any unexpected visitors. 227 00:13:50,079 --> 00:13:52,081 (gurgling) 228 00:13:59,755 --> 00:14:02,758 Data collected and device reset. 229 00:14:03,592 --> 00:14:08,931 It's a shark-free dive. Just another 26 receivers to go. 230 00:14:09,014 --> 00:14:10,891 (rock music) 231 00:14:13,018 --> 00:14:15,104 Below and above water, 232 00:14:17,147 --> 00:14:19,024 it's a huge team effort. 233 00:14:23,028 --> 00:14:26,782 And today's research is crucial to the long-term goal 234 00:14:26,866 --> 00:14:30,327 of keeping people and sharks safe 235 00:14:31,370 --> 00:14:34,748 in California and across the globe. 236 00:14:37,418 --> 00:14:40,296 Because Santa Barbara isn't the only place 237 00:14:40,379 --> 00:14:42,631 -to attract these predators. -(distant siren) 238 00:14:42,715 --> 00:14:44,216 (beach chatter) 239 00:14:45,843 --> 00:14:48,220 DR. CATHERINE MACDONALD: The list of coastal US cities 240 00:14:48,304 --> 00:14:50,222 that has a shark population 241 00:14:50,306 --> 00:14:52,975 is every US coastal city that I can think of. 242 00:14:53,809 --> 00:14:57,479 It would be much easier to identify one city with no sharks. 243 00:14:59,148 --> 00:15:01,358 NARRATOR: One of these urban shark spots 244 00:15:01,442 --> 00:15:04,778 lies just 200 miles south of Santa Barbara. 245 00:15:08,616 --> 00:15:10,117 La Jolla, California... 246 00:15:12,453 --> 00:15:14,246 where the beaches are packed... 247 00:15:17,833 --> 00:15:19,585 with sharks. 248 00:15:20,544 --> 00:15:23,505 But unlike the more recent sightings at Santa Barbara, 249 00:15:24,506 --> 00:15:29,303 sharks have been coming here for over 70 years. 250 00:15:33,098 --> 00:15:35,559 And when this old school shark hot-spot... 251 00:15:35,643 --> 00:15:36,852 (yelling) 252 00:15:36,936 --> 00:15:40,731 ...meets new school tech, the view... 253 00:15:40,814 --> 00:15:42,191 (whirring) 254 00:15:42,274 --> 00:15:45,945 from high above is unbelievable. 255 00:15:47,905 --> 00:15:50,074 Over 400 leopard sharks 256 00:15:51,450 --> 00:15:55,412 swimming amongst beach-goers, surfers, and boarders. 257 00:15:56,956 --> 00:15:59,083 (dramatic music) 258 00:16:00,459 --> 00:16:02,836 DR. ANDREW NOSAL: This site is unique because it's in an urban area. 259 00:16:02,920 --> 00:16:06,548 I mean, here we are along one of the most popular beaches in the United States. 260 00:16:08,634 --> 00:16:12,638 And so, we have these leopard sharks mixing it up with sunbathers 261 00:16:12,721 --> 00:16:15,766 and people getting in the water, and so it kinda gives new meaning 262 00:16:15,849 --> 00:16:18,268 to the hackneyed phrase "shark-infested waters." 263 00:16:18,352 --> 00:16:21,689 (tense music) 264 00:16:24,191 --> 00:16:26,485 NARRATOR: But a bird's-eye view of this hot-spot 265 00:16:26,568 --> 00:16:29,071 is just the beginning of the story. 266 00:16:30,906 --> 00:16:33,117 Drop back below the surface 267 00:16:34,076 --> 00:16:36,954 and things get even more mysterious. 268 00:16:41,500 --> 00:16:45,421 Leopard sharks are so called because of their striking markings. 269 00:16:50,092 --> 00:16:51,969 Like their big cat namesake, 270 00:16:53,178 --> 00:16:55,097 they are perfect predators. 271 00:16:57,141 --> 00:16:59,476 Their spots act as camouflage, 272 00:17:02,021 --> 00:17:06,066 as they stalk their prey, cruising the shallows, 273 00:17:07,192 --> 00:17:10,446 before a final pounce. 274 00:17:12,322 --> 00:17:14,658 (gurgling) 275 00:17:16,160 --> 00:17:18,454 But swimmers here can bathe easy. 276 00:17:19,204 --> 00:17:23,333 Leopard sharks only eat prey like crabs and octopus. 277 00:17:27,421 --> 00:17:32,843 But here in La Jolla, California, even they are off the menu. 278 00:17:41,977 --> 00:17:44,855 These sharks seem to have lost their appetite. 279 00:17:47,691 --> 00:17:49,943 And that has Andy puzzled. 280 00:17:50,819 --> 00:17:53,322 They're just swimming. You don't see them do really anything. 281 00:17:55,240 --> 00:17:57,993 NARRATOR: If the sharks aren't here to hunt, 282 00:17:58,869 --> 00:18:01,455 then why come to such a busy beach? 283 00:18:02,498 --> 00:18:03,999 (tense music) 284 00:18:04,083 --> 00:18:05,751 NOSAL: Oh, that's a shark. 285 00:18:05,834 --> 00:18:07,878 -MAN: You got it? -NOSAL: Okay, I'm gonna... 286 00:18:07,961 --> 00:18:11,381 NARRATOR: It was only by Andy studying individual sharks... 287 00:18:11,465 --> 00:18:12,716 NOSAL: Yeah, we got it. 288 00:18:13,759 --> 00:18:15,511 NARRATOR: ...that he made a breakthrough. 289 00:18:16,053 --> 00:18:17,096 NOSAL: Nice big shark. 290 00:18:18,222 --> 00:18:22,267 NARRATOR: Because these sharks are hiding a secret. 291 00:18:28,273 --> 00:18:29,900 (dramatic music) 292 00:18:29,983 --> 00:18:31,068 NARRATOR: Every summer... 293 00:18:36,657 --> 00:18:39,493 La Jolla's beaches face a shark takeover. 294 00:18:44,873 --> 00:18:46,375 NOSAL: Yeah, we got it. 295 00:18:47,251 --> 00:18:51,547 NARRATOR: Shark scientist Andy Nosal is close to revealing why. 296 00:18:51,964 --> 00:18:53,966 NOSAL: So, we definitely have a female here. 297 00:18:55,676 --> 00:18:58,178 NARRATOR: There's something different about these sharks. 298 00:19:01,598 --> 00:19:03,934 NOSAL: We're going to get ready to do an ultrasound on her now 299 00:19:04,476 --> 00:19:06,395 because we want to see if she is pregnant. 300 00:19:07,813 --> 00:19:12,484 NARRATOR: Leopard sharks can have anywhere between six to 36 babies. 301 00:19:14,111 --> 00:19:17,406 NOSAL: Alright, so I see movement here. I see a moving embryo. 302 00:19:18,323 --> 00:19:22,244 -So, this shark is definitely pregnant. -NARRATOR: In fact, 303 00:19:22,327 --> 00:19:26,373 almost all of the leopard sharks here are pregnant. 304 00:19:28,917 --> 00:19:34,882 So, for almost every shark, there's at least another six inside. 305 00:19:37,676 --> 00:19:40,470 NOSAL: Now, that we know that these sharks 306 00:19:40,554 --> 00:19:43,140 are all mature females, and not just that, they're all pregnant, 307 00:19:44,141 --> 00:19:46,310 the way I look at them has changed, right? 308 00:19:46,393 --> 00:19:49,104 I don't just see them as sharks now. I see them as moms... 309 00:19:49,188 --> 00:19:50,689 (gurgling) 310 00:19:51,899 --> 00:19:55,194 ...swimming around, taking care of their babies. 311 00:19:56,695 --> 00:19:59,615 Alright, I think she's ready. Off you go. 312 00:20:01,116 --> 00:20:02,743 (gurgling) 313 00:20:02,826 --> 00:20:07,331 NARRATOR: La Jolla, California, is a magnet for shark moms-to-be. 314 00:20:08,582 --> 00:20:09,833 But why? 315 00:20:11,126 --> 00:20:15,297 The answer could have something to do with another shark hot-spot. 316 00:20:17,132 --> 00:20:20,510 One that's over 7,000 miles away, 317 00:20:20,594 --> 00:20:22,471 on another continent. 318 00:20:22,971 --> 00:20:25,224 (dramatic music) 319 00:20:26,642 --> 00:20:27,768 Here in Israel, 320 00:20:28,644 --> 00:20:31,688 sightings of dusky sharks are rare. 321 00:20:31,772 --> 00:20:33,190 (gurgling) 322 00:20:33,273 --> 00:20:39,446 Except for this beach, where every winter... 323 00:20:41,114 --> 00:20:43,450 gangs of 10-foot predators 324 00:20:44,743 --> 00:20:48,789 swim fin to limb with the local beach crowd. 325 00:20:48,872 --> 00:20:51,333 (splashing) 326 00:20:58,173 --> 00:21:01,885 And that's not even the craziest thing about this place. 327 00:21:02,886 --> 00:21:03,887 This is. 328 00:21:03,971 --> 00:21:06,390 (dramatic music) 329 00:21:08,767 --> 00:21:12,896 An aerial view shows 40 to 50 sharks 330 00:21:14,731 --> 00:21:16,733 making a site visit 331 00:21:17,985 --> 00:21:19,820 to a power plant. 332 00:21:24,241 --> 00:21:27,244 (water roaring) 333 00:21:29,329 --> 00:21:31,164 So, what's the attraction? 334 00:21:34,835 --> 00:21:38,547 A drone's-eye view shows they gather at the water outlets... 335 00:21:38,630 --> 00:21:41,675 (water roaring) 336 00:21:41,758 --> 00:21:44,928 ...where water, used to cool the plant's turbines, 337 00:21:45,012 --> 00:21:46,805 is pumped back out to sea. 338 00:21:48,640 --> 00:21:52,102 Up to 18 degrees warmer than the surrounding water. 339 00:21:54,563 --> 00:21:58,734 It creates a coastal hot spa that attracts sharks 340 00:21:59,151 --> 00:22:01,361 and beach-goers. 341 00:22:05,157 --> 00:22:07,576 And like the leopards in La Jolla, 342 00:22:08,493 --> 00:22:11,747 scientists believe these dusky sharks in Israel 343 00:22:13,332 --> 00:22:14,791 are all pregnant. 344 00:22:21,506 --> 00:22:24,551 So could there be a connection between pregnant sharks 345 00:22:24,634 --> 00:22:26,136 and warmer waters? 346 00:22:28,722 --> 00:22:30,557 NOSAL: Most sharks are coldblooded. 347 00:22:32,642 --> 00:22:35,979 So, if they're actively seeking out warm water patches, 348 00:22:36,063 --> 00:22:39,566 they are regulating their body temperature. They're warming it up. 349 00:22:39,649 --> 00:22:41,485 (gurgling) 350 00:22:41,568 --> 00:22:43,570 Our hypothesis is that 351 00:22:43,653 --> 00:22:46,073 they're incubating their developing embryos 352 00:22:46,156 --> 00:22:47,532 in the warm, calm water, 353 00:22:47,616 --> 00:22:50,327 like a mother bird sitting on her eggs to keep them warm 354 00:22:50,410 --> 00:22:53,330 and maintaining that optimal temperature for development. 355 00:22:56,833 --> 00:23:00,504 NARRATOR: If dusky and leopard sharks might be gathering in warm water 356 00:23:00,587 --> 00:23:02,339 to help their babies grow strong... 357 00:23:05,842 --> 00:23:10,389 could water temperature also explain the large gatherings 358 00:23:10,472 --> 00:23:12,682 of great whites in Santa Barbara? 359 00:23:15,560 --> 00:23:19,106 It's a theory the SharkLab team need to test. 360 00:23:22,192 --> 00:23:24,736 Because while the sharks here aren't pregnant, 361 00:23:25,904 --> 00:23:29,491 there is something unusual about them. 362 00:23:29,574 --> 00:23:32,244 What's really interesting about all these sharks 363 00:23:32,327 --> 00:23:33,578 that we're seeing along our beaches... 364 00:23:37,541 --> 00:23:39,960 is that they're all babies. They're all young sharks. 365 00:23:40,043 --> 00:23:42,838 Maybe this is the nursery. 366 00:23:42,921 --> 00:23:44,714 (dramatic music) 367 00:23:45,215 --> 00:23:46,675 NARRATOR: Santa Barbara... 368 00:23:48,135 --> 00:23:50,470 is having a great white baby boom. 369 00:23:52,222 --> 00:23:55,225 So, if you think these six-foot youngsters are big... 370 00:23:56,309 --> 00:23:58,603 just imagine the size of the parents. 371 00:24:04,776 --> 00:24:09,948 This baby shark revelation could help explain the surge in sightings. 372 00:24:10,949 --> 00:24:15,745 We have some hypotheses. White sharks are incubated in a warm mom. 373 00:24:18,999 --> 00:24:22,169 So, we think that female white sharks are probably giving birth 374 00:24:22,252 --> 00:24:24,463 in deeper water somewhere offshore, 375 00:24:24,546 --> 00:24:26,506 and those babies are suddenly exposed to cold water. 376 00:24:27,549 --> 00:24:30,552 And their bodies are so small that they quickly lose the heat. 377 00:24:31,803 --> 00:24:34,973 So, the young sharks actually are very temperature sensitive. 378 00:24:36,016 --> 00:24:39,394 And we think that drives them towards beaches where the water's warmer. 379 00:24:41,897 --> 00:24:45,734 SURFER: Right under the board. I am shaking like a leaf right now. 380 00:24:48,069 --> 00:24:50,238 (waves crashing) 381 00:24:55,911 --> 00:25:00,540 NARRATOR: To confirm their theory and find out if baby great whites 382 00:25:00,624 --> 00:25:02,417 really are here to keep warm... 383 00:25:04,544 --> 00:25:07,214 ...SharkLab must launch the final stage of the stakeout. 384 00:25:07,297 --> 00:25:10,050 -(beeping) -(whirring) 385 00:25:10,133 --> 00:25:12,802 Time to bring in the big guns. 386 00:25:16,181 --> 00:25:20,560 -What is this thing? -This is an autonomous underwater vehicle, 387 00:25:20,644 --> 00:25:24,231 -or an AUV as we call it. -It looks like a shark missile. 388 00:25:24,314 --> 00:25:26,608 Are you studying sharks on the moon now? 389 00:25:26,691 --> 00:25:29,236 SPURGEON: Yeah, this thing is pretty crazy. We can tell it 390 00:25:29,319 --> 00:25:32,030 how deep to dive, so this thing will dive 391 00:25:32,113 --> 00:25:34,950 -about two meters from the bottom. -CASAGRANDE: No way! 392 00:25:36,451 --> 00:25:39,329 NARRATOR: The robot will create a detailed temperature map 393 00:25:39,412 --> 00:25:42,123 of California's new shark nursery. 394 00:25:44,209 --> 00:25:46,586 SPURGEON: Once I get the data that the AUV collects, 395 00:25:46,670 --> 00:25:49,965 I'm able to now match it up with the positions of the sharks 396 00:25:50,048 --> 00:25:53,677 to determine if there's any pattern to where the sharks are moving. 397 00:25:57,847 --> 00:26:00,850 Just like if I'm in a swimming pool, and I get to a cold patch, 398 00:26:00,934 --> 00:26:02,978 I'm gonna keep swimming till I find a warm patch. 399 00:26:04,479 --> 00:26:07,232 And so, I think sharks are making these similar decisions 400 00:26:07,315 --> 00:26:11,194 in the habitat where they are regulating their temperature 401 00:26:11,278 --> 00:26:13,238 and deciding where they wanna be. 402 00:26:16,366 --> 00:26:17,993 Let's get this robot wet! 403 00:26:18,076 --> 00:26:19,578 (rock music) 404 00:26:19,661 --> 00:26:21,746 Okay. See you, buddy. Good luck. 405 00:26:21,830 --> 00:26:23,707 (whirring) 406 00:26:23,790 --> 00:26:26,960 NARRATOR: If there's a connection between great whites and temperature, 407 00:26:27,711 --> 00:26:30,463 this robot will find it. 408 00:26:30,547 --> 00:26:32,632 (whirring) 409 00:26:38,638 --> 00:26:41,975 But over on the east coast, there's one town 410 00:26:42,601 --> 00:26:44,978 that always brings the heat. 411 00:26:46,146 --> 00:26:47,981 Miami, Florida. 412 00:26:49,858 --> 00:26:51,818 Can this beach help explain 413 00:26:51,901 --> 00:26:55,196 the link between sharks and water temperature? 414 00:26:56,323 --> 00:26:59,200 Because it's not only the party-goers and beach-lovers 415 00:26:59,284 --> 00:27:01,244 that cruise these beaches. 416 00:27:03,330 --> 00:27:07,250 Just off shore, a hungry 20-foot shark 417 00:27:07,334 --> 00:27:09,628 is looking for its next meal. 418 00:27:09,711 --> 00:27:12,339 -(gurgling) -(dramatic music) 419 00:27:17,344 --> 00:27:20,347 (tense music) 420 00:27:20,430 --> 00:27:22,641 NARRATOR: Spring break in Miami. 421 00:27:24,476 --> 00:27:27,020 The beaches are pulling in the people. 422 00:27:28,229 --> 00:27:33,526 But less than 100 feet off the coast, another crowd is gathering. 423 00:27:37,572 --> 00:27:40,116 WOMAN 1: Are you kidding me? Like, there's sharks out here right now? 424 00:27:42,243 --> 00:27:45,538 MAN: Like, within swimming distance here? That's a little scary. 425 00:27:49,417 --> 00:27:52,754 WOMAN 2: I'm not wild about that. I feel like there should be a sign. 426 00:27:55,382 --> 00:27:59,761 NARRATOR: Every spring, Miami's beach crowd share the water 427 00:27:59,844 --> 00:28:01,554 with thousands of sharks... 428 00:28:04,683 --> 00:28:08,520 whether they realize it or not. 429 00:28:08,603 --> 00:28:09,979 (splashing) 430 00:28:10,063 --> 00:28:12,065 MACDONALD: The vast majority of human-shark encounters 431 00:28:12,148 --> 00:28:14,109 are encounters that humans don't ever know about. 432 00:28:15,735 --> 00:28:17,278 Sharks have incredible senses. 433 00:28:17,362 --> 00:28:19,197 They know we're there when we don't know they're there. 434 00:28:21,991 --> 00:28:24,202 (engine starting) 435 00:28:24,285 --> 00:28:27,163 NARRATOR: One person that knows exactly what he's looking for... 436 00:28:27,247 --> 00:28:29,457 (roaring) 437 00:28:29,541 --> 00:28:32,544 is shark scientist and pilot Steve Kajiura. 438 00:28:33,128 --> 00:28:35,547 DR. STEPHEN KAJIURA: If those swimmers down there could see all the sharks 439 00:28:35,630 --> 00:28:38,133 that I'm seeing up here, they'd run for the beach. 440 00:28:38,216 --> 00:28:40,343 (rumbling) 441 00:28:40,969 --> 00:28:43,638 NARRATOR: Because an aerial view of the action reveals... 442 00:28:47,142 --> 00:28:50,729 thousands and thousands 443 00:28:51,730 --> 00:28:53,565 of blacktip sharks. 444 00:28:57,068 --> 00:28:58,236 It's a spectacle 445 00:28:59,988 --> 00:29:01,990 only visible from the air. 446 00:29:04,409 --> 00:29:05,952 (rumbling) 447 00:29:06,035 --> 00:29:08,830 Good numbers down there. Beautiful. 448 00:29:08,913 --> 00:29:11,499 NARRATOR: The very best view down into the water 449 00:29:12,167 --> 00:29:13,668 comes from high above it. 450 00:29:15,003 --> 00:29:17,338 (dramatic music) 451 00:29:17,422 --> 00:29:23,595 -(splashing) -(chatter, laughter) 452 00:29:23,678 --> 00:29:26,806 (waves washing ashore) 453 00:29:26,890 --> 00:29:30,143 But why are so many sharks coming to such a busy beach? 454 00:29:32,479 --> 00:29:34,481 (gurgling) 455 00:29:34,564 --> 00:29:39,319 Scientists think that just like their great white cousins in California, 456 00:29:39,402 --> 00:29:41,112 they could be following the heat. 457 00:29:44,908 --> 00:29:48,578 Every year, the blacktips make a 1,000-mile round-trip 458 00:29:48,661 --> 00:29:51,206 up and down the east US coast, 459 00:29:53,500 --> 00:29:56,127 a route that follows the warmest waters 460 00:29:57,003 --> 00:29:59,756 and lands them in Florida every spring. 461 00:30:02,634 --> 00:30:04,385 The exact same time... 462 00:30:05,762 --> 00:30:08,765 ...another group of heat-seekers rolls into town. 463 00:30:10,725 --> 00:30:12,393 But today, 464 00:30:13,978 --> 00:30:15,396 the shark beach party 465 00:30:16,773 --> 00:30:18,942 is about to get crashed. 466 00:30:24,489 --> 00:30:26,282 KAJIURA: Okay, there's a bunch of blacktips. 467 00:30:26,366 --> 00:30:28,034 There's also something much bigger. 468 00:30:29,077 --> 00:30:31,871 NARRATOR: A new visitor sends the blacktips running. 469 00:30:33,289 --> 00:30:35,750 A bigger, hungrier shark. 470 00:30:37,377 --> 00:30:39,170 A predatory hammerhead... 471 00:30:41,548 --> 00:30:43,258 is cruising along the coast. 472 00:30:47,887 --> 00:30:50,557 KAJIURA: Look at that! Cool. 473 00:30:52,517 --> 00:30:54,894 These blacktips are patrolling back and forth along the beach, 474 00:30:57,689 --> 00:31:00,275 and this hammerhead comes from deeper water, 475 00:31:00,358 --> 00:31:02,360 up toward this school of blacktips. 476 00:31:02,986 --> 00:31:04,487 (tense music) 477 00:31:06,239 --> 00:31:08,741 NARRATOR: Hammerheads can reach up to 20 feet... 478 00:31:08,825 --> 00:31:10,451 (gurgling) 479 00:31:11,828 --> 00:31:14,330 ...and weigh up to 1,000 pounds. 480 00:31:17,834 --> 00:31:19,544 Apex predators. 481 00:31:20,545 --> 00:31:23,965 They hunt everything, from octopus to fish, 482 00:31:26,634 --> 00:31:27,594 and even... 483 00:31:30,638 --> 00:31:32,140 ...other sharks. 484 00:31:37,520 --> 00:31:39,522 KAJIURA: We can see the big hammerheads coming in 485 00:31:39,606 --> 00:31:42,066 and chasing these blacktips right up onto the beach. 486 00:31:46,154 --> 00:31:48,531 Because these blacktips are half the size of the hammerhead, 487 00:31:51,242 --> 00:31:53,494 the blacktips are able to get much shallower. 488 00:31:56,164 --> 00:31:58,666 And the hammerhead can't do that. It has to, basically, 489 00:31:58,750 --> 00:32:01,961 turn around and go back into deeper water. 490 00:32:05,757 --> 00:32:09,344 NARRATOR: This time, the hammerhead's going hungry. 491 00:32:12,847 --> 00:32:15,433 Scientists think the blacktip sharks 492 00:32:16,225 --> 00:32:20,104 use these Florida beaches as a refuge from predators. 493 00:32:24,317 --> 00:32:26,527 And back in Santa Barbara... 494 00:32:28,196 --> 00:32:31,199 I got multiple sharks, multiple sharks on the drone here. 495 00:32:31,282 --> 00:32:32,158 MAN: Copy that. 496 00:32:32,659 --> 00:32:35,161 NARRATOR: ...with the survey in its final hour... 497 00:32:35,244 --> 00:32:38,456 LOWE: Keep heading north, maybe try to cover another kilometer. 498 00:32:38,539 --> 00:32:41,292 NARRATOR: ...Chris believes the young great whites 499 00:32:41,376 --> 00:32:43,002 may also have a reason to hide. 500 00:32:48,925 --> 00:32:52,804 While there aren't many predators crazy enough to chew a chunk out of 501 00:32:52,887 --> 00:32:58,226 of an adult great white, it's a different story for youngsters. 502 00:32:58,309 --> 00:33:00,853 LOWE: This is a safe place for them because we don't see 503 00:33:00,937 --> 00:33:04,565 big predators like adult whites sharks or orcas along our beaches. 504 00:33:06,067 --> 00:33:09,362 They're using this to ensure their survival for their first year. 505 00:33:09,445 --> 00:33:12,448 If they can make it through that first year, 506 00:33:13,700 --> 00:33:17,161 there's a really good likelihood they're gonna grow up to be an adult. 507 00:33:18,037 --> 00:33:22,208 NARRATOR: Knowing these nursery waters are crucial to shark survival... 508 00:33:23,793 --> 00:33:25,211 (drone whirring) 509 00:33:25,294 --> 00:33:28,256 ...puts more pressure than ever on today's survey. 510 00:33:29,799 --> 00:33:32,719 CASAGRANDE: From the sky, the drones are picking up sharks 511 00:33:32,802 --> 00:33:34,554 pretty much everywhere. 512 00:33:34,637 --> 00:33:36,389 -How we looking on the AUV? -(radio beep) 513 00:33:36,472 --> 00:33:38,224 SPURGEON: Yeah it's good. We've been seeing the robot 514 00:33:38,307 --> 00:33:40,727 -and the sharks, so that's pretty cool. -(radio beep) 515 00:33:41,561 --> 00:33:43,229 This is our last run in the area. 516 00:33:44,188 --> 00:33:45,565 NARRATOR: The day is winding down. 517 00:33:46,315 --> 00:33:48,317 -(whirring) -CASAGRANDE: Drone's coming in now. 518 00:33:49,152 --> 00:33:52,238 NARRATOR: They've filmed, tagged, and counted. 519 00:33:53,031 --> 00:33:59,203 And when the data is analyzed, even Chris is shocked by the findings. 520 00:33:59,287 --> 00:34:02,373 LOWE: This is the first time we've ever seen anything like this. 521 00:34:07,712 --> 00:34:10,715 (dramatic music) 522 00:34:10,798 --> 00:34:15,928 NARRATOR: In Santa Barbara, the great white stakeout is complete. 523 00:34:16,012 --> 00:34:18,139 CASAGRANDE: What's up, you little shark magnet? 524 00:34:18,222 --> 00:34:20,349 Good job today. 525 00:34:20,433 --> 00:34:23,061 Somebody's getting an extra charge tonight! 526 00:34:23,144 --> 00:34:25,063 -Yes! -(whirring) 527 00:34:29,901 --> 00:34:32,612 NARRATOR: Now, after months of data crunching, 528 00:34:33,613 --> 00:34:36,449 the results for this beach can be revealed. 529 00:34:38,534 --> 00:34:41,079 There are some big surprises. 530 00:34:43,873 --> 00:34:46,667 LOWE: So, the stars really aligned for this day, 531 00:34:46,751 --> 00:34:50,421 and it paid out because we got some truly amazing data. 532 00:34:50,505 --> 00:34:51,756 (tense music) 533 00:34:52,632 --> 00:34:55,885 So, what we can see here in magenta are all the people. 534 00:34:57,011 --> 00:34:59,806 Swimmers, waders, stand-up paddle boarders, 535 00:34:59,889 --> 00:35:01,224 and there's a big pocket of people 536 00:35:01,307 --> 00:35:04,811 right here that are closest to these parking lots right here along the beach. 537 00:35:04,894 --> 00:35:09,315 But then, when we look at the sharks in teal triangles, 538 00:35:09,398 --> 00:35:11,442 we see that they're more spread out, 539 00:35:11,526 --> 00:35:13,569 and there's a big cluster of sharks down here 540 00:35:13,653 --> 00:35:15,696 where there are very few or no people sighted. 541 00:35:15,780 --> 00:35:17,907 (waves washing ashore) 542 00:35:17,990 --> 00:35:21,285 NARRATOR: So far, the sharks seem to be avoiding people. 543 00:35:21,369 --> 00:35:23,287 (drone buzzing) 544 00:35:23,371 --> 00:35:26,165 But, what about the sharks the drones can't see? 545 00:35:27,208 --> 00:35:28,876 CREW MEMBER: Yes! 546 00:35:28,960 --> 00:35:31,879 NARRATOR: Underwater tagging tech helps reveal the full picture. 547 00:35:33,756 --> 00:35:37,802 -CREW MEMBER: Perfect! -NARRATOR: Throw in these tagged sharks, 548 00:35:37,885 --> 00:35:43,891 the yellow triangles, and things suddenly look a lot sharkier. 549 00:35:46,477 --> 00:35:48,980 (gurgling) 550 00:35:49,063 --> 00:35:51,899 LOWE: Now, we see that there are sharks all along this area, 551 00:35:51,983 --> 00:35:55,736 but also off the area where there's the highest concentration of people. 552 00:35:59,323 --> 00:36:02,201 What our data show is that there are sharks, 553 00:36:03,244 --> 00:36:07,623 like 20 or 30, at a beach with potentially 554 00:36:07,707 --> 00:36:10,626 hundreds of thousands of people in the water, in and amongst them. 555 00:36:15,256 --> 00:36:17,216 NARRATOR: An astonishing result. 556 00:36:18,885 --> 00:36:23,723 That means footage like this is just the tip of the iceberg. 557 00:36:25,558 --> 00:36:28,519 So just how many sharks are really out there? 558 00:36:31,189 --> 00:36:33,357 The team's shark count focused on 559 00:36:33,441 --> 00:36:36,986 one football field-sized section of California coast. 560 00:36:37,111 --> 00:36:39,530 (beeping) 561 00:36:40,364 --> 00:36:42,408 LOWE: So, Patrick counted 562 00:36:42,491 --> 00:36:45,411 92 times where a shark had crossed that frame, 563 00:36:45,494 --> 00:36:47,872 and you can see them because they're in different colors. 564 00:36:49,457 --> 00:36:54,921 NARRATOR: In just one day, in one small section of coast, 565 00:36:55,004 --> 00:36:59,759 a shark passed through here almost 100 times. 566 00:37:01,177 --> 00:37:03,804 LOWE: The sharks are just kind of cruising back and forth, 567 00:37:03,888 --> 00:37:06,098 just doing laps through that area. 568 00:37:07,308 --> 00:37:10,770 NARRATOR: The team has revealed a secret shark nursery, 569 00:37:12,104 --> 00:37:14,565 an important safe haven, 570 00:37:14,649 --> 00:37:18,027 right off one of the world's busiest beaches. 571 00:37:22,156 --> 00:37:24,951 But do more sharks up the risk factor? 572 00:37:26,953 --> 00:37:30,248 LOWE: Sharks don't seem to change their path. They're not heading towards people. 573 00:37:30,331 --> 00:37:32,541 (somber music) 574 00:37:33,668 --> 00:37:37,505 Usually, the path seems to be like, "I'm going in this direction, 575 00:37:37,588 --> 00:37:40,258 and there's a person here." 576 00:37:40,341 --> 00:37:42,843 And as long as our thing isn't affecting their thing... 577 00:37:45,638 --> 00:37:47,723 they don't care. 578 00:37:47,807 --> 00:37:50,434 NARRATOR: But if the sharks are ignoring beach-goers... 579 00:37:52,728 --> 00:37:55,523 ...how do you explain footage like this? 580 00:37:55,606 --> 00:37:59,235 SURFER: Oh my god. Right under the board. I'm shaking like a leaf. 581 00:37:59,318 --> 00:38:02,697 LOWE: We do see, on occasion, sharks move towards people. 582 00:38:04,073 --> 00:38:09,203 They may be curious. They could hear sounds and do a blow by. 583 00:38:09,287 --> 00:38:10,913 They'll kinda swim kinda close, and then veer off. 584 00:38:12,498 --> 00:38:15,793 Who knows? Maybe we entertain them while they're swimming around. 585 00:38:18,629 --> 00:38:21,716 NARRATOR: Chris's theory is backed up by the stats. 586 00:38:23,676 --> 00:38:25,344 Over the last decade, 587 00:38:25,428 --> 00:38:29,098 Santa Barbara's beaches have been visited by growing numbers 588 00:38:29,181 --> 00:38:31,892 of sharks and people. 589 00:38:32,893 --> 00:38:35,980 Yet, there's not been a single shark bite. 590 00:38:38,149 --> 00:38:39,650 Great news, 591 00:38:39,734 --> 00:38:42,528 but it's not something to get complacent about. 592 00:38:43,446 --> 00:38:47,450 Sharing the water with a wild animal always brings risks. 593 00:38:50,036 --> 00:38:52,038 And this is where SharkLab 594 00:38:52,121 --> 00:38:55,499 hopes to use the survey data to maximum impact. 595 00:38:57,585 --> 00:39:02,631 By creating the world's first shark forecast. 596 00:39:09,430 --> 00:39:11,932 (tense music) 597 00:39:12,016 --> 00:39:16,270 NARRATOR: The results of a new and ambitious shark survey are in. 598 00:39:17,646 --> 00:39:22,610 Santa Barbara's beaches are packed with sharks. 599 00:39:24,028 --> 00:39:26,947 LOWE: If anybody were to tell me I would go out 600 00:39:27,031 --> 00:39:30,659 right off my front yard in Long Beach and see a dozen white sharks 601 00:39:30,743 --> 00:39:33,162 off the beach, I would have said you're crazy. 602 00:39:39,001 --> 00:39:44,048 NARRATOR: Famous for its golden beaches, California is now a key destination 603 00:39:44,131 --> 00:39:46,926 for a very different kind of beach crowd. 604 00:39:47,009 --> 00:39:48,677 (gurgling) 605 00:39:48,761 --> 00:39:52,681 LOWE: It is one of the most densely- populated beach communities in the world. 606 00:39:52,765 --> 00:39:54,016 (seagull cawing) 607 00:39:54,850 --> 00:39:56,227 We have 22 million people 608 00:39:57,186 --> 00:40:00,898 that live within 60 miles of the coastline between Santa Barbara and San Diego. 609 00:40:02,108 --> 00:40:04,693 And now, that habitat is also 610 00:40:04,777 --> 00:40:07,321 the primary nursery habitat for white sharks. 611 00:40:08,572 --> 00:40:10,574 (gurgling) 612 00:40:12,618 --> 00:40:14,954 SURFER: Oh my god. Right under the board. 613 00:40:15,037 --> 00:40:19,083 LOWE: Now, I, as a shark biologist, cheer, but not everybody cheers with me. 614 00:40:19,625 --> 00:40:22,044 BOY: Oh my god! It's under you guys. 615 00:40:24,422 --> 00:40:25,923 LOWE: There's concern about safety. 616 00:40:26,006 --> 00:40:29,760 There's concern about the economic impacts if there are safety issues. 617 00:40:35,933 --> 00:40:37,351 NARRATOR: What's most worrying 618 00:40:38,769 --> 00:40:42,231 is that nobody knows where the sharks will show up next. 619 00:40:42,815 --> 00:40:46,068 (tense music) 620 00:40:47,445 --> 00:40:49,572 SPURGEON: These hot-spots can change from year to year. 621 00:40:49,655 --> 00:40:53,284 They're not in the same beach every year, and we don't actually know why 622 00:40:53,367 --> 00:40:56,370 the sharks choose which beach that they do. 623 00:40:56,996 --> 00:41:00,416 NARRATOR: But if SharkLab can understand what the attraction is, 624 00:41:01,459 --> 00:41:05,296 there's a chance to get smart about beach safety. 625 00:41:06,255 --> 00:41:09,967 LOWE: I think we might be able to predict where sharks will show up in the future. 626 00:41:11,594 --> 00:41:15,347 NARRATOR: The great white stakeout is part of a much bigger ambition. 627 00:41:15,431 --> 00:41:16,682 (waves washing ashore) 628 00:41:19,727 --> 00:41:23,731 A project that could be a game changer for public safety. 629 00:41:26,066 --> 00:41:30,821 Because once SharkLab know which conditions attract sharks, 630 00:41:30,905 --> 00:41:34,950 whether it's water temperature, or a maybe a threat from their predators, 631 00:41:35,910 --> 00:41:39,288 they might one day be able to use that intel 632 00:41:39,371 --> 00:41:42,875 to predict where and when the sharks will appear next. 633 00:41:44,126 --> 00:41:47,296 REX: What we're trying to be able to do is create a shark forecast. 634 00:41:47,379 --> 00:41:49,507 We can give that to the lifeguards. 635 00:41:49,590 --> 00:41:52,301 We can give that to the public, so that they can make decisions 636 00:41:52,384 --> 00:41:54,011 of where they want to go to the beach that day. 637 00:41:54,094 --> 00:41:55,596 (dramatic music) 638 00:41:56,597 --> 00:41:59,767 CASAGRANDE: Good morning, folks! It'll be about 85, cloudy, 639 00:41:59,850 --> 00:42:01,936 with a chance of sharks. I like that. 640 00:42:02,019 --> 00:42:04,021 Exactly! Some people will surf, and some won't. 641 00:42:04,104 --> 00:42:05,898 SURFER: There you go, Rocco! 642 00:42:05,981 --> 00:42:08,776 NARRATOR: It's an idea that's already being supported 643 00:42:08,859 --> 00:42:10,861 by the Santa Barbara beach crowd. 644 00:42:10,945 --> 00:42:12,780 (splashing) 645 00:42:12,863 --> 00:42:15,950 LOWE: The locals have just come to accept the fact 646 00:42:16,033 --> 00:42:18,285 that there are white sharks off their beach, 647 00:42:18,369 --> 00:42:20,246 and they're adapting their behavior 648 00:42:20,329 --> 00:42:22,706 because the sharks aren't going to change theirs. 649 00:42:22,790 --> 00:42:24,291 (dramatic music) 650 00:42:25,125 --> 00:42:28,587 This is their home. We're just visitors. 651 00:42:31,340 --> 00:42:34,343 NARRATOR: Locals are learning to live in a shark hot-spot. 652 00:42:38,722 --> 00:42:41,850 And while these events may seem new and shocking, 653 00:42:41,934 --> 00:42:42,935 (gurgling) 654 00:42:43,018 --> 00:42:46,146 they are, in fact, a great comeback story. 655 00:42:47,565 --> 00:42:48,983 (waves washing ashore) 656 00:42:49,066 --> 00:42:50,442 LOWE: In the last 100 years, 657 00:42:50,526 --> 00:42:53,654 California's ocean has really seen dramatic changes. 658 00:42:53,737 --> 00:42:55,823 (gurgling) 659 00:42:55,906 --> 00:42:57,241 Commercial fishing, 660 00:42:57,324 --> 00:43:00,786 development, loss of habitat for many marine species. 661 00:43:02,913 --> 00:43:05,416 Chances are if you ate fish tacos in California 662 00:43:05,499 --> 00:43:08,502 back in the early '90s, you ate white shark, and you didn't know it. 663 00:43:10,754 --> 00:43:13,173 But, probably about 40 or 50 years ago, 664 00:43:13,257 --> 00:43:16,969 we started to do things that fixed some of those problems. 665 00:43:18,596 --> 00:43:22,600 In fact, 18% of the coastline is now marine protected areas. 666 00:43:25,686 --> 00:43:31,108 NARRATOR: New environmental protection laws have helped shark numbers return. 667 00:43:32,860 --> 00:43:34,778 (drone whirring) 668 00:43:34,862 --> 00:43:38,324 And now, thanks to new technology, 669 00:43:38,407 --> 00:43:41,952 we're finding ways to safely live alongside them. 670 00:43:42,036 --> 00:43:45,039 (rock music) 671 00:43:47,791 --> 00:43:50,169 LOWE: The fact that white sharks are coming back is a sign 672 00:43:50,252 --> 00:43:52,338 that the whole ecosystem is getting healthier. 673 00:43:55,924 --> 00:43:59,178 To have some success stories like this means 674 00:43:59,261 --> 00:44:00,638 that we can fix things. 675 00:44:05,768 --> 00:44:07,061 It gives you hope.