All language subtitles for Lift.the.Ice.S01E02.The.Ice.is.Alive.1080p.AMZN.WEB-DL.DD+2.0.H.264-playWEB_track3_[eng]

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English Download
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek Download
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,621 --> 00:00:03,072 [gentle music] 2 00:00:09,043 --> 00:00:11,908 [water trickling] 3 00:00:13,013 --> 00:00:14,911 [snow crunches] 4 00:00:14,911 --> 00:00:17,120 [Allison] Oh, okay. 5 00:00:18,052 --> 00:00:20,054 [Allison panting] 6 00:00:20,054 --> 00:00:24,679 Holy moly. 7 00:00:24,679 --> 00:00:27,751 I'm trying to think of where I place my feet. 8 00:00:30,064 --> 00:00:32,756 [dramatic music] 9 00:00:32,756 --> 00:00:33,688 Oh my gosh. 10 00:00:34,793 --> 00:00:36,036 [Allison inhales sharply] 11 00:00:36,036 --> 00:00:38,762 Of all the places they could be hiding, 12 00:00:38,762 --> 00:00:40,937 they had to be down here, didn't they? 13 00:00:42,145 --> 00:00:43,422 [Researcher] Do not drop anything in here. 14 00:00:43,422 --> 00:00:44,389 There's no bottom. 15 00:00:44,389 --> 00:00:45,942 [Researcher] There is nothing. 16 00:00:45,942 --> 00:00:46,632 [Researcher] The lava's only like three quarters 17 00:00:46,632 --> 00:00:47,564 of a mile down. 18 00:00:47,564 --> 00:00:48,876 [Researcher] Careful! 19 00:00:48,876 --> 00:00:50,050 - [rocks clattering] - [Allison] Whoa! 20 00:00:50,050 --> 00:00:51,637 [Researcher] Careful, this one moves. 21 00:00:53,156 --> 00:00:55,779 Oh no. I'm not seeing anything here. 22 00:00:58,230 --> 00:01:00,681 Our typical science spot is gone. 23 00:01:00,681 --> 00:01:03,442 [dramatic music] 24 00:01:03,442 --> 00:01:05,617 [beeping] 25 00:01:08,171 --> 00:01:09,793 [Allison] When I see the ice, 26 00:01:09,793 --> 00:01:12,486 [orchestral music] 27 00:01:12,486 --> 00:01:14,004 it looks barren. 28 00:01:15,247 --> 00:01:17,284 But it's not barren at all. 29 00:01:18,285 --> 00:01:20,149 It's full of life. 30 00:01:20,149 --> 00:01:22,427 It's full of mystery. 31 00:01:22,427 --> 00:01:25,154 It's full of things that could change your world. 32 00:01:25,154 --> 00:01:28,985 [dramatic music] As an ecologist, 33 00:01:28,985 --> 00:01:32,126 I've ventured to the coldest reaches of our planet 34 00:01:32,126 --> 00:01:33,921 to study what's in this ice. 35 00:01:33,921 --> 00:01:36,924 [Researcher] Oh my gosh, it's moving as you're on it. 36 00:01:36,924 --> 00:01:38,615 [dramatic music] 37 00:01:38,615 --> 00:01:42,826 [Allison] Now, I'm on a mission to lift this frozen world 38 00:01:42,826 --> 00:01:45,657 to find out if the things living within it 39 00:01:45,657 --> 00:01:48,246 could save millions of lives. 40 00:01:48,246 --> 00:01:51,801 From miracle microbes hidden in a volcanic glacier, 41 00:01:51,801 --> 00:01:53,320 - We can get in that way. - That way. 42 00:01:53,320 --> 00:01:54,700 [Researcher] As opposed to having to make everybody 43 00:01:54,700 --> 00:01:56,875 claw through little rat tunnels. 44 00:01:56,875 --> 00:01:58,601 [Allison] to a remarkable animal 45 00:01:58,601 --> 00:02:00,465 actually living within the ice. 46 00:02:00,465 --> 00:02:02,708 If there's a place to really understand the future, 47 00:02:02,708 --> 00:02:03,882 it's here. 48 00:02:03,882 --> 00:02:05,401 [Allison] To bleeding glaciers 49 00:02:05,401 --> 00:02:07,817 opening a window into our future. 50 00:02:07,817 --> 00:02:09,267 You can see the obvious hazard. 51 00:02:09,267 --> 00:02:11,579 A lot of this has opened up in the last month or so. 52 00:02:12,891 --> 00:02:14,582 But the clock is ticking. 53 00:02:15,756 --> 00:02:18,483 We're losing ice at a phenomenal rate. 54 00:02:18,483 --> 00:02:19,863 [glacier booms] 55 00:02:19,863 --> 00:02:21,382 And so the race to find out 56 00:02:21,382 --> 00:02:25,835 how these mysteries shape our world is absolutely critical. 57 00:02:25,835 --> 00:02:28,838 [glaciers cracking] 58 00:02:30,771 --> 00:02:33,325 [somber music] 59 00:02:40,781 --> 00:02:42,990 [pensive music] 60 00:02:42,990 --> 00:02:45,337 My journey starts here on the road, 61 00:02:45,337 --> 00:02:47,995 to one of the most famous volcanoes in history. 62 00:02:50,825 --> 00:02:53,380 On the West Coast of the US, 63 00:02:53,380 --> 00:02:55,934 nestled amongst the Cascades Mountain Range, 64 00:02:55,934 --> 00:02:58,902 is the infamous Mount St. Helens. 65 00:02:58,902 --> 00:03:03,804 This still-active volcano is now home to a bizarre glacier. 66 00:03:04,977 --> 00:03:07,117 Its ice is rumored to contain organisms 67 00:03:07,117 --> 00:03:09,741 that could save millions of lives 68 00:03:09,741 --> 00:03:13,883 from a threat that doctors at the CDC are highly aware of. 69 00:03:13,883 --> 00:03:15,850 [Arjun] Antibiotics are prescribed 70 00:03:15,850 --> 00:03:19,095 thousands of time every day for the treatment 71 00:03:19,095 --> 00:03:21,408 and management of common infections. 72 00:03:21,408 --> 00:03:23,755 The problem is, is that over time 73 00:03:23,755 --> 00:03:26,275 bacteria have become resistant 74 00:03:26,275 --> 00:03:28,242 to the antibiotics that we have. 75 00:03:28,242 --> 00:03:31,072 So instead of being able to treat someone 76 00:03:31,072 --> 00:03:32,660 who has an infection, 77 00:03:32,660 --> 00:03:34,904 we have to stand helplessly by. 78 00:03:37,320 --> 00:03:38,632 In the United States, 79 00:03:38,632 --> 00:03:41,669 there are about three million people 80 00:03:41,669 --> 00:03:45,328 who get those antibiotic-resistant infections every year, 81 00:03:45,328 --> 00:03:47,813 and more than 30,000 of those people 82 00:03:47,813 --> 00:03:50,195 die from those infections. 83 00:03:50,195 --> 00:03:51,990 When you extrapolate that number, 84 00:03:51,990 --> 00:03:54,095 perhaps to a global estimate, 85 00:03:54,095 --> 00:03:56,960 I mean we're talking about tens of millions 86 00:03:56,960 --> 00:03:58,583 that are affected. 87 00:03:58,583 --> 00:04:00,378 [Arjun] It's critically important 88 00:04:00,378 --> 00:04:03,312 that we get new antibiotics. 89 00:04:05,175 --> 00:04:08,731 Which is why I'm heading to Mount St. Helens. 90 00:04:08,731 --> 00:04:11,112 Because if we want new antibiotics, 91 00:04:11,112 --> 00:04:12,390 we'll likely find them 92 00:04:12,390 --> 00:04:15,703 in the most inhospitable places imaginable. 93 00:04:16,601 --> 00:04:19,086 My safety gear, it's dialed in. 94 00:04:20,708 --> 00:04:23,401 Attaching my avalanche beacon. 95 00:04:23,401 --> 00:04:25,817 I already have my Gortex on because it's gonna be wet. 96 00:04:27,163 --> 00:04:29,683 These are the guys leading us into this dark 97 00:04:29,683 --> 00:04:31,443 and dangerous realm. 98 00:04:31,443 --> 00:04:34,066 But this isn't Roberto's first rodeo. 99 00:04:34,066 --> 00:04:35,654 I've already got the slides. 100 00:04:35,654 --> 00:04:36,483 [Richard] Yeah. 101 00:04:36,483 --> 00:04:37,725 You already have them? 102 00:04:37,725 --> 00:04:38,519 [Roberto] Yeah, it's over here. 103 00:04:38,519 --> 00:04:40,003 [Allison] Since 2017, 104 00:04:40,003 --> 00:04:43,110 he and his colleague Rick have been hunting for microbes 105 00:04:43,110 --> 00:04:46,113 deep in the bowels of this active volcano. 106 00:04:46,113 --> 00:04:49,289 [helicopter whirring] 107 00:04:52,084 --> 00:04:54,432 Number one thing on this helicopter is 108 00:04:54,432 --> 00:04:56,054 that taileron back there. 109 00:04:56,054 --> 00:04:57,573 [helicopter whirring] 110 00:04:57,573 --> 00:04:59,299 All right, good luck everyone. 111 00:05:00,576 --> 00:05:01,784 [upbeat music] 112 00:05:01,784 --> 00:05:06,789 [helicopter whining] [helicopter sputtering] 113 00:05:10,206 --> 00:05:12,967 [Allison] Mount St. Helens might look calm now, 114 00:05:16,177 --> 00:05:19,629 but you should never underestimate an active volcano. 115 00:05:20,975 --> 00:05:23,323 [dramatic music] [volcano booming] 116 00:05:23,323 --> 00:05:25,808 [Pilot] We are directly over Mount St. Helen's right now, 117 00:05:25,808 --> 00:05:28,500 and there is no question at all that the volcanic activity 118 00:05:28,500 --> 00:05:29,743 has begun. 119 00:05:29,743 --> 00:05:32,055 You can see smoke and ash pouring 120 00:05:32,055 --> 00:05:34,403 from the top of the mountain. 121 00:05:34,403 --> 00:05:38,130 So in spring of 1980, there was an earthquake 122 00:05:38,130 --> 00:05:41,271 at Mount St. Helen's, and within three minutes, 123 00:05:41,271 --> 00:05:44,274 the top of Mount St. Helen's exploded off 124 00:05:44,274 --> 00:05:45,793 in a violent eruption. 125 00:05:47,277 --> 00:05:49,003 [piano music] [volcano booming] 126 00:05:49,003 --> 00:05:51,351 Nearly a cubic mile of material 127 00:05:51,351 --> 00:05:53,353 was blown off the top of the mountain. 128 00:05:54,457 --> 00:05:57,149 Along with an estimated 57 people, 129 00:05:57,149 --> 00:06:00,221 the blast killed virtually every single plant and animal 130 00:06:00,221 --> 00:06:01,913 in the whole surrounding area. 131 00:06:04,467 --> 00:06:08,057 You're looking at the deadliest eruption in US history. 132 00:06:09,334 --> 00:06:11,957 It effectively sterilized the landscape. 133 00:06:13,165 --> 00:06:14,684 Inside the crater, 134 00:06:14,684 --> 00:06:18,343 nothing survived, bar a few microbes. 135 00:06:19,793 --> 00:06:22,934 Even today, the area looks to be a barren landscape, 136 00:06:24,453 --> 00:06:26,662 but you can't keep microbes down for long, 137 00:06:28,388 --> 00:06:32,599 which is why we're here. [helicopter sputtering] 138 00:06:38,467 --> 00:06:42,850 Whoa! [helicopter sputtering] 139 00:06:42,850 --> 00:06:44,369 Coming up on this glacier, 140 00:06:44,369 --> 00:06:47,890 there's steam, like vents coming out of the caves, 141 00:06:47,890 --> 00:06:51,065 and there's these enormous openings in the mountain. 142 00:06:51,065 --> 00:06:53,171 Just incredible. 143 00:06:53,171 --> 00:06:56,588 [pensive music] 144 00:06:56,588 --> 00:06:59,936 This volcanic eruption created this enormous crater 145 00:06:59,936 --> 00:07:02,283 within the center of the volcano. 146 00:07:03,457 --> 00:07:06,564 That crater is shaded almost all year long, 147 00:07:06,564 --> 00:07:08,738 and the most incredible thing is happening. 148 00:07:10,499 --> 00:07:13,916 A glacier is growing within the crater of the volcano. 149 00:07:15,642 --> 00:07:16,884 It's actually one of the youngest 150 00:07:16,884 --> 00:07:19,922 and fastest-growing glaciers on earth. 151 00:07:22,200 --> 00:07:24,340 So they're scouting that to see if we can get in 152 00:07:24,340 --> 00:07:25,583 - that way, - That way. 153 00:07:25,583 --> 00:07:27,688 as opposed to having to make everybody 154 00:07:27,688 --> 00:07:30,001 claw through little rat tunnels. 155 00:07:30,001 --> 00:07:31,312 We'll do it if we have to. 156 00:07:32,452 --> 00:07:34,108 So the entrance is super chill. 157 00:07:34,108 --> 00:07:35,627 Any belays to approach? 158 00:07:35,627 --> 00:07:37,146 I'd just say people need to keep their harnesses on 159 00:07:37,146 --> 00:07:39,804 for rescue, everything's a walk and it's pretty chill. 160 00:07:40,943 --> 00:07:43,083 [pensive music] 161 00:07:43,083 --> 00:07:45,775 [ice crunches] 162 00:07:45,775 --> 00:07:48,778 But what these experienced explorers consider chill, 163 00:07:48,778 --> 00:07:51,022 is not exactly a walk in the park. 164 00:07:52,057 --> 00:07:53,542 Let me give you a look, 165 00:07:53,542 --> 00:07:56,441 what our dissent into the entrance is gonna look like. 166 00:07:56,441 --> 00:07:57,407 Check this out. 167 00:07:58,512 --> 00:08:00,307 It's steaming. 168 00:08:00,307 --> 00:08:02,930 As you can see, there's a lot of loose rock. 169 00:08:04,380 --> 00:08:07,176 It just blows my mind that we're entering a glacier 170 00:08:07,176 --> 00:08:09,178 sitting on an active volcano. 171 00:08:10,559 --> 00:08:12,284 From this perspective, it looks pretty gnarly. 172 00:08:12,284 --> 00:08:13,769 It looks pretty steep. 173 00:08:13,769 --> 00:08:18,774 [rocks clattering] [pensive music] 174 00:08:25,228 --> 00:08:28,404 Oh! [rocks clattering] 175 00:08:29,509 --> 00:08:32,339 [Ellison panting] 176 00:08:37,068 --> 00:08:40,347 And now I'm realizing, why I love the ocean. 177 00:08:40,347 --> 00:08:43,453 Because even if you fall in, you're buoyant. 178 00:08:44,627 --> 00:08:46,802 But whoa, this is crazy. 179 00:08:48,286 --> 00:08:52,393 My heart was like raging. 180 00:08:52,393 --> 00:08:57,398 [somber music] [Ellison panting] 181 00:08:57,847 --> 00:08:58,572 Oh God. 182 00:09:01,402 --> 00:09:04,751 As I quickly catch my breath, I'm asking myself 183 00:09:04,751 --> 00:09:07,236 how Roberto came up with this crazy idea, 184 00:09:08,651 --> 00:09:10,342 and I remembered something he said, 185 00:09:10,342 --> 00:09:12,517 back in our pre-expedition briefing. 186 00:09:12,517 --> 00:09:15,037 [pensive music] 187 00:09:15,037 --> 00:09:17,418 Antibiotics are sort of unique in that way 188 00:09:17,418 --> 00:09:21,181 compared to other drugs, because if you keep using them, 189 00:09:21,181 --> 00:09:23,597 they will tend to lose their effectiveness, 190 00:09:23,597 --> 00:09:26,427 simply because the microbes will learn to basically 191 00:09:26,427 --> 00:09:27,946 - [Researcher] Evolve. - evolve. 192 00:09:27,946 --> 00:09:31,018 And so the crisis is that, if we don't find new antibiotics, 193 00:09:31,018 --> 00:09:33,158 we're gonna run out of antibiotics. 194 00:09:33,158 --> 00:09:35,298 We know it from other scientists 195 00:09:35,298 --> 00:09:38,267 that there are antibiotic-resistant microbes 196 00:09:38,267 --> 00:09:42,167 in places that humans have never accessed before. 197 00:09:42,167 --> 00:09:44,998 So if there are antibiotic-resistant microbes present, 198 00:09:44,998 --> 00:09:47,207 there must be microbes making antibiotics. 199 00:09:49,278 --> 00:09:53,454 Antibiotics are actually weapons made by microbes. 200 00:09:53,454 --> 00:09:55,042 Let me show you why. 201 00:09:55,042 --> 00:09:58,632 Here are two colonies fighting over space and food. 202 00:09:59,806 --> 00:10:02,049 They bombard each other with chemical arsenals 203 00:10:02,049 --> 00:10:03,603 designed to kill on contact. 204 00:10:05,018 --> 00:10:07,158 These are what we call antibiotics. 205 00:10:08,677 --> 00:10:11,127 Battles like this are happening all around us, 206 00:10:11,127 --> 00:10:14,130 inside us, and in environments all over the world. 207 00:10:15,787 --> 00:10:19,549 But sometimes, immune bacteria can appear in a colony 208 00:10:19,549 --> 00:10:21,931 that is immune to the enemy's attacks. 209 00:10:22,967 --> 00:10:25,141 Now that it has the upper hand, 210 00:10:25,141 --> 00:10:28,144 it can reproduce at will, until it's offspring 211 00:10:28,144 --> 00:10:30,491 become the sole victors of the battle. 212 00:10:32,390 --> 00:10:34,495 Each time we attack these infections 213 00:10:34,495 --> 00:10:37,084 using the same antibiotic drugs, 214 00:10:37,084 --> 00:10:40,605 we are strengthening their chances to resist. 215 00:10:40,605 --> 00:10:43,608 So we need new kinds of weapons. 216 00:10:43,608 --> 00:10:45,506 And so I thought, well, 217 00:10:45,506 --> 00:10:48,993 why not try and look at this extreme environment? 218 00:10:48,993 --> 00:10:51,754 They're the microbes that are gonna be the unique ones 219 00:10:51,754 --> 00:10:54,792 that we don't tend to find in most common environments. 220 00:10:56,345 --> 00:11:00,590 And so we went looking at these samples from the ice caves, 221 00:11:00,590 --> 00:11:02,420 and we're taking them back to the college, 222 00:11:02,420 --> 00:11:06,458 and students there are looking to see if any microbes grow 223 00:11:06,458 --> 00:11:08,702 that will make new antibodies. 224 00:11:08,702 --> 00:11:10,704 [rocks clattering] 225 00:11:10,704 --> 00:11:13,811 - [Ellison panting] - Ooh! 226 00:11:15,467 --> 00:11:18,988 The scalloping is amazing and so bizarre. 227 00:11:20,818 --> 00:11:24,787 But these shapes are just proof, that the magma below us 228 00:11:24,787 --> 00:11:27,410 is constantly changing this glacier. 229 00:11:28,722 --> 00:11:30,310 In the past, 230 00:11:30,310 --> 00:11:32,588 this is where we hang a right and go down to our site. 231 00:11:32,588 --> 00:11:33,934 But it's gone. 232 00:11:35,349 --> 00:11:37,282 Yeah, I don't think we're gonna sample in here. 233 00:11:38,456 --> 00:11:39,871 We're still gonna go down and check out. 234 00:11:39,871 --> 00:11:41,045 But we're still gonna go down and check. 235 00:11:41,045 --> 00:11:42,322 There's other fumaroles down there, 236 00:11:42,322 --> 00:11:43,703 so, we'll exchange it for another. 237 00:11:43,703 --> 00:11:45,152 But he said that, 238 00:11:45,152 --> 00:11:47,983 "That area, that's usually very large," 239 00:11:47,983 --> 00:11:48,811 [Researcher] Yeah. 240 00:11:48,811 --> 00:11:49,778 has now shrunk down 241 00:11:49,778 --> 00:11:50,848 to being a very small area. 242 00:11:52,781 --> 00:11:54,403 Even if the site is gone, 243 00:11:54,403 --> 00:11:57,855 there may still be potential bacterial sites down here. 244 00:11:57,855 --> 00:12:00,927 Roberto's microbes love extremes of temperature. 245 00:12:00,927 --> 00:12:04,896 So this thermal camera will help us find any hotspots. 246 00:12:04,896 --> 00:12:08,072 Okay, so it's pretty cool, pointing right there. 247 00:12:08,072 --> 00:12:11,213 - Yes. - Reading -1.7. 248 00:12:11,213 --> 00:12:12,455 - Yeah. - Celsius. 249 00:12:12,455 --> 00:12:13,802 - In here. - [Researcher] There you go. 250 00:12:13,802 --> 00:12:15,355 Down there. 251 00:12:15,355 --> 00:12:16,321 [Allison] Down here, it's getting really warm colors, 252 00:12:16,321 --> 00:12:18,599 and we're like at 6.97, 253 00:12:18,599 --> 00:12:20,636 - Yep. - 7.3 degrees Celsius. 254 00:12:21,810 --> 00:12:24,916 These hotspots are called fumaroles. 255 00:12:24,916 --> 00:12:29,783 They vent heat and toxic gases from deep inside the volcano. 256 00:12:29,783 --> 00:12:33,476 Down here in the dark and the cold, 257 00:12:33,476 --> 00:12:36,410 any microbes that generate antibiotic compounds 258 00:12:36,410 --> 00:12:39,482 may be growing using those volcanic gases. 259 00:12:39,482 --> 00:12:43,797 Ooh, yeah, this one's like 10, 11 degrees Celsius. 260 00:12:44,971 --> 00:12:48,008 But 10 degrees is hardly a volcanic temperature 261 00:12:48,008 --> 00:12:50,562 worthy of our extreme microbes. 262 00:12:50,562 --> 00:12:52,875 So it's decided that there's little point 263 00:12:52,875 --> 00:12:54,739 sampling this area. 264 00:12:54,739 --> 00:12:57,500 So, typically going this direction, 265 00:12:57,500 --> 00:13:00,331 we have a very large cathedral-type hallway 266 00:13:00,331 --> 00:13:01,573 - that we can go down. - [Allison] Yeah. 267 00:13:01,573 --> 00:13:03,472 And go down to our fumeroles, 268 00:13:03,472 --> 00:13:04,680 which are usually 269 00:13:04,680 --> 00:13:06,061 - nice and warm. - [Allison] Yeah. 270 00:13:06,061 --> 00:13:07,510 But this year, 271 00:13:07,510 --> 00:13:09,858 that is now closed, three years in a row now, 272 00:13:09,858 --> 00:13:11,273 and it hadn't really changed much. 273 00:13:11,273 --> 00:13:12,481 - [Allison] Yeah. - This site, 274 00:13:12,481 --> 00:13:15,760 the cave has, but this was a big change. 275 00:13:15,760 --> 00:13:17,658 So we're not gonna be able to access those sites 276 00:13:17,658 --> 00:13:19,212 on this expedition. 277 00:13:19,212 --> 00:13:21,386 [Researcher] Probably not. 278 00:13:21,386 --> 00:13:23,492 So we know that things and conditions 279 00:13:23,492 --> 00:13:25,735 can change quickly down here. 280 00:13:25,735 --> 00:13:29,429 Either the volcano has moved over the course of the year, 281 00:13:29,429 --> 00:13:31,811 or the ice has changed. 282 00:13:31,811 --> 00:13:34,089 And listening to Rick and Roberto, 283 00:13:34,089 --> 00:13:36,367 it sounds like their greatest fear could be 284 00:13:36,367 --> 00:13:38,024 that their sampling site is gone. 285 00:13:40,267 --> 00:13:43,823 While the team regroups to think of solutions, 286 00:13:43,823 --> 00:13:46,826 it gives me a moment to think about how shifting ice 287 00:13:46,826 --> 00:13:48,482 actually plays a big role 288 00:13:48,482 --> 00:13:51,831 in some of my work with ice microbes. 289 00:13:51,831 --> 00:13:55,593 [glacier ice cracking] 290 00:13:55,593 --> 00:13:57,146 Back in 2020, 291 00:13:57,146 --> 00:14:00,253 I took part in the largest polar research expedition 292 00:14:00,253 --> 00:14:01,185 in history. 293 00:14:02,393 --> 00:14:05,189 We took a team from across the world, 294 00:14:05,189 --> 00:14:08,226 to come together, to live on an icebreaker, 295 00:14:08,226 --> 00:14:10,608 and drift across the Central Arctic for a year. 296 00:14:11,747 --> 00:14:15,475 [pensive music] [ice cracking] 297 00:14:15,475 --> 00:14:19,306 I'd forgive you for thinking that sea ice is lifeless, 298 00:14:20,445 --> 00:14:24,104 but it's teeming with tiny organisms, 299 00:14:24,104 --> 00:14:27,383 and some of them have a surprising superpower. 300 00:14:28,833 --> 00:14:31,974 This is how I imagine the Arctic sea ice, 301 00:14:31,974 --> 00:14:35,253 a giant microbial storage vault that unlocks 302 00:14:35,253 --> 00:14:36,979 more and more each year. 303 00:14:38,153 --> 00:14:40,638 These organisms are so small, 304 00:14:40,638 --> 00:14:43,606 even a gust of wind can blow them up into the air 305 00:14:43,606 --> 00:14:44,607 with the sea spray. 306 00:14:46,161 --> 00:14:48,197 These microbes are tiny. [water bubbling] 307 00:14:48,197 --> 00:14:50,441 But they're able to attract water droplets, 308 00:14:50,441 --> 00:14:52,650 like micro-rainmakers. 309 00:14:54,134 --> 00:14:58,035 More microbes means more droplets coming together, 310 00:14:58,035 --> 00:14:59,968 which eventually creates a cloud. 311 00:15:01,452 --> 00:15:04,558 If we're right, more clouds means more heat insulation, 312 00:15:04,558 --> 00:15:06,319 which leads to more melting, 313 00:15:06,319 --> 00:15:09,839 then more microbes are released, and the cycle continues. 314 00:15:11,289 --> 00:15:13,533 But this effect ripples out beyond 315 00:15:13,533 --> 00:15:15,915 just this patch of sea ice. 316 00:15:15,915 --> 00:15:18,918 And the next time you look up into the sky, at a cloud, 317 00:15:18,918 --> 00:15:21,782 you can think that this cloud was potentially built 318 00:15:21,782 --> 00:15:24,440 by these tiny little organisms, 319 00:15:24,440 --> 00:15:26,408 and that these tiny little organisms 320 00:15:26,408 --> 00:15:29,859 are now controlling where there's rain, where there's snow. 321 00:15:31,275 --> 00:15:36,073 We don't know yet exactly what impact more clouds can have. 322 00:15:36,073 --> 00:15:38,316 It could be the butterfly effect, 323 00:15:38,316 --> 00:15:41,423 rippling chaos through our global climate systems. 324 00:15:42,803 --> 00:15:44,426 That's why these icy microbes 325 00:15:44,426 --> 00:15:46,600 are so important for our future. 326 00:15:48,948 --> 00:15:51,605 Spending a year drifting with the Arctic sea ice 327 00:15:51,605 --> 00:15:56,438 taught me that, your job as a scientist is to solve puzzles. 328 00:15:56,438 --> 00:15:59,579 And so when you encounter an obstacle, you have a choice. 329 00:15:59,579 --> 00:16:02,685 You can give up, or you can solve the puzzle. 330 00:16:02,685 --> 00:16:05,343 [pensive music] 331 00:16:06,586 --> 00:16:10,624 They have found another entrance into that area 332 00:16:10,624 --> 00:16:13,041 that will open up, so we can access 333 00:16:13,041 --> 00:16:17,666 different sampling sites of Roberto and Rick's. 334 00:16:17,666 --> 00:16:21,187 And it's down here, you can see, 335 00:16:21,187 --> 00:16:23,672 and our operation team right now is going back in there, 336 00:16:23,672 --> 00:16:26,088 to mark it off and to rig it. 337 00:16:26,088 --> 00:16:28,884 [rocks cracking] 338 00:16:29,816 --> 00:16:31,680 Now I get why they were saying, 339 00:16:31,680 --> 00:16:34,096 "The last route was pretty chill." 340 00:16:34,096 --> 00:16:36,996 This one's on a different level. 341 00:16:36,996 --> 00:16:40,827 Right now, I'm asking myself, why I signed up for this. 342 00:16:44,037 --> 00:16:46,867 I just hope we find what we're looking for down there. 343 00:16:49,456 --> 00:16:51,665 Jeremy, whose idea was this? 344 00:16:52,770 --> 00:16:54,220 [everyone laughing] 345 00:16:54,220 --> 00:16:55,600 [Jeremy] I just wanted to get outta the house man, 346 00:16:55,600 --> 00:16:56,532 I dunno. 347 00:16:56,532 --> 00:16:57,361 [everyone laughing] 348 00:16:57,361 --> 00:17:00,019 [pensive music] 349 00:17:01,779 --> 00:17:03,022 [Researcher] Hand me a bag. 350 00:17:04,023 --> 00:17:04,851 Beautiful. 351 00:17:08,165 --> 00:17:11,237 Ow, that was my favorite shinbone. 352 00:17:16,621 --> 00:17:18,623 Okay, I think I see the end. 353 00:17:19,555 --> 00:17:21,730 [gear crunches] 354 00:17:21,730 --> 00:17:23,214 Do you see how I'm laying? 355 00:17:23,214 --> 00:17:25,492 You're gonna lay like this, and you're gonna have to crawl 356 00:17:25,492 --> 00:17:28,047 for about six feet straight. 357 00:17:28,047 --> 00:17:29,531 It's like a puzzle. 358 00:17:29,531 --> 00:17:31,878 Your body's the piece. 359 00:17:31,878 --> 00:17:33,362 You have to just lay on your shoulder, 360 00:17:33,362 --> 00:17:34,915 take a little water in the face. 361 00:17:34,915 --> 00:17:39,920 [pensive music] [water dripping] 362 00:17:42,061 --> 00:17:44,270 [Allison] It's been squeeze after squeeze, 363 00:17:44,270 --> 00:17:47,859 contorting my body through the cold, and the dark, 364 00:17:47,859 --> 00:17:48,688 and the wet. 365 00:17:50,379 --> 00:17:53,348 [Researcher] Ah, feels good when you can get straight up 366 00:17:53,348 --> 00:17:54,245 and vertical, huh? 367 00:17:54,245 --> 00:17:55,798 [Allison] Yes. 368 00:17:55,798 --> 00:17:58,801 [everyone laughing] 369 00:18:00,044 --> 00:18:01,770 [Allison] Now it's just a casual scramble 370 00:18:01,770 --> 00:18:04,290 down a 200-foot wall of rocks 371 00:18:04,290 --> 00:18:06,050 into the depths of the volcano. 372 00:18:07,534 --> 00:18:09,053 [Researcher] We've found our sample site. 373 00:18:09,053 --> 00:18:11,883 - [Researcher] All right. - [Researcher] Undisturbed. 374 00:18:11,883 --> 00:18:13,437 [pensive music] 375 00:18:13,437 --> 00:18:17,441 We just came down this huge rock slide of boulders, 376 00:18:17,441 --> 00:18:18,890 it's pretty treacherous, 377 00:18:18,890 --> 00:18:20,858 but we found the sampling site, 378 00:18:20,858 --> 00:18:22,687 and this is where we were trying to get to yesterday 379 00:18:22,687 --> 00:18:25,069 that we couldn't reach from the other entrance. 380 00:18:26,243 --> 00:18:28,003 You can already see it's really steamy, 381 00:18:28,003 --> 00:18:29,867 compared to where we were yesterday. 382 00:18:29,867 --> 00:18:32,870 And the thing is, is that there's active fumaroles here. 383 00:18:32,870 --> 00:18:34,699 So there's active volcanic gases 384 00:18:34,699 --> 00:18:36,149 coming out of these boulders, 385 00:18:37,288 --> 00:18:38,979 and we broke out the thermal camera, 386 00:18:38,979 --> 00:18:41,672 so that we could check around these rocks. 387 00:18:41,672 --> 00:18:44,813 So, I'm gonna just point it towards our sampling site, 388 00:18:44,813 --> 00:18:48,127 and you can see that there's a really hot spot 389 00:18:48,127 --> 00:18:50,715 of about 30 degrees centigrade. 390 00:18:52,131 --> 00:18:54,616 So, we're talking about a really significant 391 00:18:54,616 --> 00:18:57,377 temperature difference between where we were yesterday 392 00:18:57,377 --> 00:18:58,551 and where we are now. 393 00:19:00,000 --> 00:19:01,174 The other thing is, 394 00:19:01,174 --> 00:19:02,796 it's not just this spot that's really warm. 395 00:19:02,796 --> 00:19:05,903 There's other spots across the cave, where we've been seeing 396 00:19:05,903 --> 00:19:09,562 these really bright, intense, hot places. 397 00:19:09,562 --> 00:19:12,254 So that's probably why this cave is so big, 398 00:19:12,254 --> 00:19:14,912 it's because these fumaroles are active. 399 00:19:14,912 --> 00:19:16,603 They're creating this steam, 400 00:19:16,603 --> 00:19:21,436 and this warm air is carving this cavern into the glacier. 401 00:19:21,436 --> 00:19:23,265 It's absolutely incredible in here. 402 00:19:23,265 --> 00:19:24,542 I can't even tell you. 403 00:19:24,542 --> 00:19:27,269 It's like a cathedral of ice, it's amazing. 404 00:19:28,753 --> 00:19:32,205 Where we're standing now, was completely sterilized. 405 00:19:32,205 --> 00:19:35,001 The eruption killed practically everything. 406 00:19:35,001 --> 00:19:37,486 So how did these microbes get down here? 407 00:19:37,486 --> 00:19:38,970 [glacier cracking] 408 00:19:38,970 --> 00:19:42,353 The best way to reveal its secrets, is if we lift the ice 409 00:19:42,353 --> 00:19:43,906 from the glacier. 410 00:19:43,906 --> 00:19:47,600 The tiny entrances lead into vast labyrinths of chambers 411 00:19:47,600 --> 00:19:49,809 carved into the underside of the glacier 412 00:19:49,809 --> 00:19:51,914 by the volcano's warmth. 413 00:19:51,914 --> 00:19:55,677 Inside, it's dark and cold and infused 414 00:19:55,677 --> 00:19:59,922 with toxic volcanic gases, like sulfur dioxide. 415 00:19:59,922 --> 00:20:01,130 But in places, 416 00:20:01,130 --> 00:20:04,064 hot fumaroles fueled by the magma underneath 417 00:20:04,064 --> 00:20:06,964 can reach up to 60 degrees Celsius. 418 00:20:06,964 --> 00:20:09,553 It's a tough place for anything to survive, 419 00:20:10,933 --> 00:20:13,557 but the very same entrances we traveled, 420 00:20:13,557 --> 00:20:18,044 are also a gateway for microbes carried by wind and storms. 421 00:20:19,494 --> 00:20:21,944 The conditions inside kill off the majority of them, 422 00:20:23,118 --> 00:20:25,085 but we are looking for the rare few 423 00:20:25,085 --> 00:20:27,502 who have the ability to survive down here. 424 00:20:28,882 --> 00:20:32,645 This unique environment is unlike any other on the planet. 425 00:20:32,645 --> 00:20:36,269 The conditions are so harsh that the microbes found here, 426 00:20:36,269 --> 00:20:39,065 can't be found in any other place on earth. 427 00:20:39,065 --> 00:20:42,413 These organisms are potentially so special and so different 428 00:20:42,413 --> 00:20:45,002 from microorganisms that we would find on the surface, 429 00:20:45,002 --> 00:20:48,902 we have the best chances of discovering new antibiotics 430 00:20:48,902 --> 00:20:50,663 from these unique organisms. 431 00:20:50,663 --> 00:20:51,629 [upbeat music] 432 00:20:51,629 --> 00:20:53,631 So we got to the sampling site, 433 00:20:53,631 --> 00:20:56,255 and we've taken some photographs. 434 00:20:56,255 --> 00:20:59,085 It looks intact, it doesn't look like much, 435 00:20:59,085 --> 00:21:00,259 no offense guys, 436 00:21:00,259 --> 00:21:03,262 but it's a fluorescent, orange paracord, 437 00:21:03,262 --> 00:21:08,267 and underneath a boulder is two slides sitting vertically, 438 00:21:09,716 --> 00:21:11,477 and the slides are exposed to the air, and they're trapping 439 00:21:11,477 --> 00:21:15,274 whatever microbes decide to grow on the glass slide. 440 00:21:15,274 --> 00:21:18,518 It's a very small area, very basic, 441 00:21:18,518 --> 00:21:21,487 but super cool, that it's all like functioning. 442 00:21:23,834 --> 00:21:26,492 With all of the setbacks getting to the site, 443 00:21:26,492 --> 00:21:28,701 we're running out of time to get our samples, 444 00:21:28,701 --> 00:21:31,151 and get out before nightfall. 445 00:21:31,151 --> 00:21:32,877 [Researcher] All right, here we go. 446 00:21:34,465 --> 00:21:35,397 How much do you want? 447 00:21:35,397 --> 00:21:37,054 [Researcher] Five to 10 grams. 448 00:21:37,054 --> 00:21:38,883 [Researcher] All right, I won't put a ton in. 449 00:21:38,883 --> 00:21:40,989 Let me know what you think of this amount. 450 00:21:42,680 --> 00:21:43,992 Good. 451 00:21:43,992 --> 00:21:45,234 [Researcher] It's good? All right. 452 00:21:45,234 --> 00:21:48,099 [Allison] 22 dash three and 22 dash four, 453 00:21:48,099 --> 00:21:49,929 away from fumerole. 454 00:21:51,655 --> 00:21:53,173 Here you go. 455 00:21:53,173 --> 00:21:55,106 [Researcher] That's good, that'll be enough. 456 00:21:55,106 --> 00:21:56,660 We're going to take that sediment 457 00:21:56,660 --> 00:21:58,109 back to the lab, 458 00:21:58,109 --> 00:22:01,043 and we're going to actually try to grow bacteria 459 00:22:01,043 --> 00:22:02,148 from those sediments. 460 00:22:03,908 --> 00:22:08,361 These bacteria may have antibiotics potential. 461 00:22:10,570 --> 00:22:12,952 [dramatic music] [fire flaring] 462 00:22:12,952 --> 00:22:17,681 I've never been in a situation, where I've been asked to do 463 00:22:17,681 --> 00:22:22,686 so much physical and mental work to recover a single sample. 464 00:22:23,583 --> 00:22:27,346 Oh my gosh. [gentle music] 465 00:22:27,346 --> 00:22:30,590 This landscape is a playground for explorers. 466 00:22:30,590 --> 00:22:33,835 It's not necessarily where you think that the things 467 00:22:33,835 --> 00:22:36,631 and the medicine that will save our lives, 468 00:22:36,631 --> 00:22:39,496 and increase human well-being all around the world, 469 00:22:39,496 --> 00:22:42,361 you don't think of this place as being the source 470 00:22:42,361 --> 00:22:46,054 of that information, that knowledge, and that material, 471 00:22:46,054 --> 00:22:47,158 but it is. 472 00:22:47,158 --> 00:22:51,680 [helicopter sputtering] [gentle music] 473 00:22:51,680 --> 00:22:54,407 [dramatic music] 474 00:22:56,202 --> 00:22:59,067 Ultimately, that's what makes our frozen realm 475 00:22:59,067 --> 00:23:01,656 so unique and so special. 476 00:23:03,105 --> 00:23:06,592 The very things that make our icy realms so inhospitable, 477 00:23:06,592 --> 00:23:09,491 are what make them invaluable to science. 478 00:23:11,148 --> 00:23:13,702 Our samples are now being rushed down to Roberto's lab 479 00:23:13,702 --> 00:23:14,531 for testing. 480 00:23:16,291 --> 00:23:18,845 However, this whole phenomenon of living snow 481 00:23:18,845 --> 00:23:23,056 and creatures in the ice, isn't always a good thing. 482 00:23:23,056 --> 00:23:25,645 [gentle music] 483 00:23:27,716 --> 00:23:28,993 In New Zealand, 484 00:23:28,993 --> 00:23:30,857 a team of scientists is preparing to head 485 00:23:30,857 --> 00:23:32,583 to the Southern Alps, 486 00:23:32,583 --> 00:23:35,172 to investigate the mystery of glaciers 487 00:23:35,172 --> 00:23:36,622 that seem to be bleeding. 488 00:23:38,175 --> 00:23:40,280 [Researcher] That's coming with us on the first flight. 489 00:23:40,280 --> 00:23:41,592 [Researcher] So, I just throw that off? 490 00:23:41,592 --> 00:23:43,214 [Researcher] Yeah, yeah, yeah. 491 00:23:44,595 --> 00:23:47,011 [Allison] Phil is pairing his expertise in algae, 492 00:23:47,011 --> 00:23:50,118 with John's skills in environmental instruments. 493 00:23:51,602 --> 00:23:54,536 Together, they've designed and built a piece of equipment, 494 00:23:54,536 --> 00:23:57,401 especially for this expedition. 495 00:23:57,401 --> 00:23:59,230 It's just that, there's a construction in there 496 00:23:59,230 --> 00:24:01,440 that creates the vortex. 497 00:24:01,440 --> 00:24:03,580 [helicopter whining] 498 00:24:03,580 --> 00:24:05,927 [Pilot] Four pegs we turn at the Tasman Saddle, 499 00:24:05,927 --> 00:24:08,550 and we'll probably shut down up here. 500 00:24:08,550 --> 00:24:09,724 [Operator] Copy that. 501 00:24:09,724 --> 00:24:14,591 [helicopter whining] [upbeat music] 502 00:24:25,809 --> 00:24:29,640 This work is based on the very significant bushfires 503 00:24:29,640 --> 00:24:33,437 that happened in Australia, summer of 2019, 2020. 504 00:24:34,369 --> 00:24:36,371 [bushfires crackling] 505 00:24:36,371 --> 00:24:37,510 [Allison] We all know 506 00:24:37,510 --> 00:24:40,375 how devastating those bushfires were. 507 00:24:40,375 --> 00:24:44,137 So much loss of wildlife and habitat in Australia. 508 00:24:46,070 --> 00:24:50,109 The intense heat sent ash all the way to South America, 509 00:24:50,109 --> 00:24:52,387 over 7,000 miles away. 510 00:24:53,526 --> 00:24:56,080 You could even smell the smoke in the air. 511 00:24:59,256 --> 00:25:03,743 On the way, it dumped ash all over New Zealand's glaciers. 512 00:25:03,743 --> 00:25:06,781 John and Phil actually came up here at the time 513 00:25:06,781 --> 00:25:09,577 to first study this event. 514 00:25:09,577 --> 00:25:12,096 They witnessed these caramel-colored glaciers 515 00:25:12,096 --> 00:25:13,719 with their own eyes. 516 00:25:15,790 --> 00:25:19,207 Phil, John, and their research assistant Alex, 517 00:25:19,207 --> 00:25:22,590 are flying to the largest glacier in New Zealand, 518 00:25:22,590 --> 00:25:23,936 the Tasman Glacier. 519 00:25:25,385 --> 00:25:28,009 It was one location heavily affected by the ash fall, 520 00:25:28,009 --> 00:25:30,425 from the Australian bushfires. 521 00:25:30,425 --> 00:25:33,324 [Pilot] From the wide mouth to the base, six five North. 522 00:25:35,257 --> 00:25:36,707 [Allison] And the team is out here 523 00:25:36,707 --> 00:25:40,711 to discover the impact of this ash on their icy habitat. 524 00:25:42,610 --> 00:25:46,786 The snow might look white now, but if they're right, 525 00:25:46,786 --> 00:25:49,409 the ash might trigger a chain of events, 526 00:25:49,409 --> 00:25:51,584 that could lead to the downfall of glaciers, 527 00:25:51,584 --> 00:25:53,862 both here and around the world. 528 00:25:53,862 --> 00:25:55,346 [Phil] You can see the obvious hazards. 529 00:25:55,346 --> 00:25:56,831 [John] Yeah. 530 00:25:56,831 --> 00:25:59,385 A lot of this has opened up in the last month or so. 531 00:25:59,385 --> 00:26:04,321 [gentle music] [helicopter sputtering] 532 00:26:05,564 --> 00:26:08,083 [door thuds] 533 00:26:08,083 --> 00:26:09,395 [rucksack thuds] 534 00:26:09,395 --> 00:26:13,330 [helicopter sputtering] 535 00:26:13,330 --> 00:26:16,540 We can't really move much around here without the rope on. 536 00:26:16,540 --> 00:26:18,024 [John] No. 537 00:26:18,024 --> 00:26:19,543 And although anything big is still gonna be obvious, 538 00:26:19,543 --> 00:26:22,201 there may be smaller things that are a little bit hidden, 539 00:26:22,201 --> 00:26:23,409 but just notice, 540 00:26:23,409 --> 00:26:24,548 see how there's some rocks in the snow there. 541 00:26:24,548 --> 00:26:26,792 So there is an active rockfall area, 542 00:26:26,792 --> 00:26:29,415 so just be on the listen and look out 543 00:26:29,415 --> 00:26:30,968 for anything coming down there. 544 00:26:31,969 --> 00:26:34,696 [dramatic music] 545 00:26:44,430 --> 00:26:46,535 When we first saw the snow after those fires, 546 00:26:46,535 --> 00:26:50,436 it was caramel-colored, and really abnormally wet 547 00:26:50,436 --> 00:26:51,402 to walk across. 548 00:26:53,335 --> 00:26:55,544 It was pretty clear that the dust was changing 549 00:26:55,544 --> 00:26:56,787 the albedo of the snow. 550 00:26:58,686 --> 00:27:00,032 In the simplest terms, 551 00:27:00,032 --> 00:27:02,655 you can think of albedo as the amount of light 552 00:27:02,655 --> 00:27:04,484 that's reflected from a surface. 553 00:27:06,072 --> 00:27:10,214 Pure white snow has an incredibly high albedo. 554 00:27:10,214 --> 00:27:14,218 About 90% of all of the sun's radiation is bounced safely 555 00:27:14,218 --> 00:27:18,913 back into space, keeping the surface and our planet cool. 556 00:27:20,397 --> 00:27:23,400 But when contaminants like ash from distant bushfires 557 00:27:23,400 --> 00:27:27,335 tarnish the surface, they change the albedo. 558 00:27:27,335 --> 00:27:30,718 The darker things get, the lower the albedo, 559 00:27:30,718 --> 00:27:33,168 meaning more sunlight is absorbed. 560 00:27:33,168 --> 00:27:35,619 This means the ice will begin to melt. 561 00:27:36,827 --> 00:27:38,104 [Phil] Did you see the ash layers 562 00:27:38,104 --> 00:27:39,658 still really visible in the seracs down? 563 00:27:39,658 --> 00:27:41,798 Oh, you can even see it from here actually. 564 00:27:41,798 --> 00:27:42,971 [Researcher] Oh yes, you can too, 565 00:27:42,971 --> 00:27:45,284 and the ones further down as well. 566 00:27:45,284 --> 00:27:47,631 I thought it was gonna be gone on the first storm, 567 00:27:47,631 --> 00:27:49,219 that we'd never see it again, 568 00:27:49,219 --> 00:27:52,015 and therefore it'd be just a fleeting summertime thing, 569 00:27:52,015 --> 00:27:53,395 and as soon as the first storm came, 570 00:27:53,395 --> 00:27:55,570 it would just be buried and you'd never see it. 571 00:27:55,570 --> 00:27:58,366 But two winters it's gone through, and it's still there. 572 00:27:59,505 --> 00:28:00,989 [gentle music] 573 00:28:00,989 --> 00:28:03,129 [Allison] There may be more to the albedo story, 574 00:28:03,129 --> 00:28:06,477 than just the ash from distant fires. 575 00:28:06,477 --> 00:28:08,479 This ash might be providing food 576 00:28:08,479 --> 00:28:10,274 for something living in the ice, 577 00:28:11,862 --> 00:28:14,727 which is why the glaciers are turning blood-red. 578 00:28:16,625 --> 00:28:19,559 Snow algae are these single cell organisms 579 00:28:19,559 --> 00:28:20,768 that are just like plants. 580 00:28:20,768 --> 00:28:24,426 They photosynthesize, and living in the snow, 581 00:28:24,426 --> 00:28:26,118 they're this bright red color, 582 00:28:26,118 --> 00:28:30,536 that turns the snow into sort of a watermelon slushy. 583 00:28:30,536 --> 00:28:32,262 Under the right conditions, 584 00:28:32,262 --> 00:28:35,403 snow algae can explode in population, 585 00:28:36,507 --> 00:28:38,855 just like algal blooms in the oceans. 586 00:28:40,235 --> 00:28:41,720 [Phil] One of the things we want to find out, 587 00:28:41,720 --> 00:28:44,343 is if the bushfire ash can trigger these blooms. 588 00:28:45,827 --> 00:28:47,449 So, we're on the hunt for algae. 589 00:28:48,830 --> 00:28:51,315 [Researcher] We're gonna have to go down over the side, 590 00:28:51,315 --> 00:28:53,559 and find somewhere where it's been blown off. 591 00:28:53,559 --> 00:28:55,561 So we can see the the old snow, 592 00:28:55,561 --> 00:28:57,011 which has some color to it, 593 00:28:57,011 --> 00:28:59,807 and might have some organisms in there. 594 00:28:59,807 --> 00:29:02,499 [wind whistling] 595 00:29:03,914 --> 00:29:05,744 [Phil] Where mate, over by the rocks you reckon? 596 00:29:05,744 --> 00:29:06,745 [Researcher] Yeah. 597 00:29:09,299 --> 00:29:10,300 [Phil] No? 598 00:29:11,680 --> 00:29:12,509 You mean here? 599 00:29:13,959 --> 00:29:15,581 There's probably a big hole under that. 600 00:29:15,581 --> 00:29:18,204 [pensive music] 601 00:29:18,204 --> 00:29:20,655 There might be quite good if I can get to it. 602 00:29:20,655 --> 00:29:23,313 [pensive music] 603 00:29:25,246 --> 00:29:27,835 [Phil panting] 604 00:29:30,389 --> 00:29:32,460 Be as good as I'm gonna get, I'm sure. 605 00:29:32,460 --> 00:29:34,600 [pole crunching] 606 00:29:34,600 --> 00:29:36,705 Oh, we found some brown snow. 607 00:29:36,705 --> 00:29:38,535 Who knows, might have something in it. 608 00:29:40,364 --> 00:29:42,953 [gentle music] 609 00:29:44,127 --> 00:29:45,749 [Allison] They need to get their snow sample 610 00:29:45,749 --> 00:29:48,234 back to the field lab to check for any algae, 611 00:29:50,823 --> 00:29:53,584 especially since the daylight is fading fast. 612 00:29:54,862 --> 00:29:57,450 [upbeat music] 613 00:30:01,627 --> 00:30:05,424 In the box, we have quite an old field microscope. 614 00:30:05,424 --> 00:30:06,632 I thought it might be interesting 615 00:30:06,632 --> 00:30:07,875 to have a look at these samples, 616 00:30:07,875 --> 00:30:10,463 and see if there's any kind of life in them. 617 00:30:10,463 --> 00:30:11,637 [lamp clicks] 618 00:30:11,637 --> 00:30:12,983 Well, there will be dust. 619 00:30:14,122 --> 00:30:16,124 I don't know if there's gonna be algae. 620 00:30:19,956 --> 00:30:21,923 [gentle music] 621 00:30:21,923 --> 00:30:25,582 There's definitely some dust particles from the bushfires. 622 00:30:25,582 --> 00:30:29,551 I'm just looking for something that might be alive. 623 00:30:31,001 --> 00:30:32,761 Here we go, that was easy. 624 00:30:33,935 --> 00:30:36,351 Hm, that's snow algae I think. 625 00:30:37,870 --> 00:30:41,115 So one of the ideas that I'm developing in this project, 626 00:30:41,115 --> 00:30:45,982 is about the effect of bushfire dust on the algae and snow. 627 00:30:45,982 --> 00:30:50,469 And one possibility is because the dust is very high in iron 628 00:30:50,469 --> 00:30:51,711 and it's already known 629 00:30:51,711 --> 00:30:54,093 that has fertilized the Tasman Sea, 630 00:30:54,093 --> 00:30:56,820 and led to unusually large blooms 631 00:30:56,820 --> 00:30:58,960 of phytoplankton in the ocean. 632 00:30:58,960 --> 00:31:02,274 Whether the same thing might happen in snow? 633 00:31:02,274 --> 00:31:05,070 If the forest fire ash did that, 634 00:31:05,070 --> 00:31:07,141 it would be even worse for glaciers, 635 00:31:07,141 --> 00:31:09,695 because the blood red color of snow algae 636 00:31:09,695 --> 00:31:12,111 also reduces the albedo. 637 00:31:12,111 --> 00:31:15,874 So if bushfire ash and dust fertilizes snow algae, 638 00:31:15,874 --> 00:31:18,255 then the effect could be twice as bad. 639 00:31:19,843 --> 00:31:21,224 Let me just break this down, 640 00:31:21,224 --> 00:31:22,915 and explain what's happening here. 641 00:31:24,365 --> 00:31:27,920 The Australian forest fire ash falls onto the snow, 642 00:31:27,920 --> 00:31:30,889 providing a tasty snack for the tiny algae 643 00:31:30,889 --> 00:31:32,752 living on the glacier surface. 644 00:31:33,650 --> 00:31:34,962 With enough ash, 645 00:31:34,962 --> 00:31:36,895 they might be sent into overdrive, 646 00:31:36,895 --> 00:31:39,414 creating massive red algal blooms 647 00:31:39,414 --> 00:31:41,451 that look like spilled blood. 648 00:31:43,142 --> 00:31:45,386 Without the pristine white surface 649 00:31:45,386 --> 00:31:47,491 to reflect the sun's radiation, 650 00:31:47,491 --> 00:31:50,149 the algal bloom lowers the glacier's albedo. 651 00:31:51,633 --> 00:31:54,913 Instead of absorbing just 10% of the sun's energy, 652 00:31:54,913 --> 00:31:58,606 the glacier now absorbs more than 30% of the heat, 653 00:31:58,606 --> 00:31:59,779 tripling the melt. 654 00:32:01,091 --> 00:32:02,748 So, the first step of the experiment 655 00:32:02,748 --> 00:32:03,680 is to figure out 656 00:32:03,680 --> 00:32:06,027 the effect of the ash by itself, 657 00:32:06,027 --> 00:32:08,340 before we can start to factor in the algae. 658 00:32:09,962 --> 00:32:12,585 [gentle music] 659 00:32:15,795 --> 00:32:17,314 But up here, 660 00:32:17,314 --> 00:32:19,144 you never know what weather you're going to wake up to. 661 00:32:19,144 --> 00:32:21,560 [door thuds] 662 00:32:22,526 --> 00:32:24,252 We really need sunshine, 663 00:32:24,252 --> 00:32:28,049 ideally a perfect blue sky because if we have patchy cloud, 664 00:32:28,049 --> 00:32:29,948 we can't correct for that, 665 00:32:29,948 --> 00:32:33,330 if the light conditions change while measuring albedo. 666 00:32:33,330 --> 00:32:35,954 We can either do it under perfect blue sky 667 00:32:35,954 --> 00:32:38,404 or perfect whiteout, but nothing in between. 668 00:32:39,578 --> 00:32:41,062 I think the sun is gonna come out 669 00:32:41,062 --> 00:32:44,410 and go away again probably, so that's not good for us. 670 00:32:44,410 --> 00:32:47,275 But yeah, we'll just have to see what happens. 671 00:32:47,275 --> 00:32:49,864 [upbeat music] 672 00:32:59,425 --> 00:33:00,702 [ax crunches] 673 00:33:00,702 --> 00:33:01,876 [Researcher] Once you put the dust on, 674 00:33:01,876 --> 00:33:02,670 - it'll be all right. - Yeah, yeah. 675 00:33:02,670 --> 00:33:04,189 [Allison] Luckily, 676 00:33:04,189 --> 00:33:07,502 we've escaped the massive Australian forest fires this year. 677 00:33:07,502 --> 00:33:10,436 But that means Phil and John need to mock up 678 00:33:10,436 --> 00:33:12,300 these real-world events. 679 00:33:12,300 --> 00:33:16,925 This device creates a custom, mini dust storm on demand. 680 00:33:16,925 --> 00:33:20,860 Phil and John then use a light sensor and a reference plate 681 00:33:20,860 --> 00:33:22,379 called the Spectralon plate, 682 00:33:22,379 --> 00:33:24,933 to see how it changes the albedo. 683 00:33:24,933 --> 00:33:27,971 But science in the field always takes a little bit 684 00:33:27,971 --> 00:33:29,248 of trial and error. 685 00:33:29,248 --> 00:33:30,215 [Researcher] Not on. 686 00:33:32,527 --> 00:33:33,735 [spark blitzes] 687 00:33:33,735 --> 00:33:35,116 [Researcher] Oh, what was that? 688 00:33:35,116 --> 00:33:38,982 [Researcher] I don't know, shouldn't happen. 689 00:33:41,433 --> 00:33:44,712 [Researcher] Might've blown the fuse. 690 00:33:47,197 --> 00:33:48,129 [Researcher] Have you found it? 691 00:33:48,129 --> 00:33:49,372 Oh, I know what's happened. 692 00:33:49,372 --> 00:33:51,029 It was actually touching on one of these bolts 693 00:33:51,029 --> 00:33:52,478 just sticks out slightly, no? 694 00:33:55,240 --> 00:33:56,413 [Researcher] Hey. 695 00:33:56,413 --> 00:33:57,621 [Researcher] Yes. 696 00:33:57,621 --> 00:34:00,521 [Researcher] Phew! 697 00:34:00,521 --> 00:34:02,212 [Researcher] I don't like seeing sparks. 698 00:34:03,386 --> 00:34:04,904 So we do five with the Spectralon. 699 00:34:04,904 --> 00:34:06,389 [Researcher] Yep. 700 00:34:06,389 --> 00:34:08,080 [Researcher] Take it off, we do five with the blank snow. 701 00:34:08,080 --> 00:34:09,150 Just the white snow? 702 00:34:09,150 --> 00:34:10,082 [Researcher] Yep. 703 00:34:10,082 --> 00:34:10,910 Then we apply the dust? 704 00:34:10,910 --> 00:34:12,119 [Researcher] Yep. 705 00:34:12,119 --> 00:34:13,223 [Researcher] Then we take five measurements. 706 00:34:13,223 --> 00:34:14,500 [Researcher] Yep. 707 00:34:14,500 --> 00:34:15,708 [Researcher] Once we've done them all, 708 00:34:15,708 --> 00:34:16,502 we can clean the snow up after that. 709 00:34:16,502 --> 00:34:16,640 [Researcher] Yep. 710 00:34:17,676 --> 00:34:19,195 [Allison] To you and me, 711 00:34:19,195 --> 00:34:21,852 that basically means they compare the snow's ability 712 00:34:21,852 --> 00:34:24,648 to reflect the sun's heat before and after 713 00:34:24,648 --> 00:34:27,134 they blast it with their mini dust storm. 714 00:34:28,894 --> 00:34:31,069 Then they'll know exactly how much dust 715 00:34:31,069 --> 00:34:32,829 affects the glaciers' albedo. 716 00:34:34,279 --> 00:34:37,696 The clouds are just about the worst kind of clouds, 717 00:34:37,696 --> 00:34:40,008 'cause they're wispy ones. 718 00:34:40,008 --> 00:34:42,839 That mean the light environment changes constantly, 719 00:34:42,839 --> 00:34:44,634 which is exactly what we don't want, 720 00:34:46,084 --> 00:34:48,362 but we might be able to just sniffle a bit of time 721 00:34:48,362 --> 00:34:51,054 where it's perfectly clear, if we are very lucky. 722 00:34:52,228 --> 00:34:53,160 [Researcher] So should we turn this off 723 00:34:53,160 --> 00:34:54,920 until the clouds come around? 724 00:34:54,920 --> 00:34:58,061 [Researcher] There's a bit of clear stuff coming maybe, 725 00:34:58,061 --> 00:34:59,476 but it's not gonna be for long. 726 00:34:59,476 --> 00:35:00,788 Yeah. 727 00:35:00,788 --> 00:35:02,479 [plate crunches] 728 00:35:02,479 --> 00:35:03,411 [Researcher] We're not quite sure 729 00:35:03,411 --> 00:35:04,930 how long we need it for. 730 00:35:04,930 --> 00:35:06,725 We're just gonna try and do it as quickly as possible. 731 00:35:07,829 --> 00:35:09,624 [Allison] The clock's really ticking 732 00:35:09,624 --> 00:35:12,351 to get the science done in time, 733 00:35:12,351 --> 00:35:14,457 but no one can control the weather. 734 00:35:15,389 --> 00:35:16,321 Ah, it's no good John. 735 00:35:16,321 --> 00:35:17,356 The cloud's over again. 736 00:35:17,356 --> 00:35:18,909 Ah, yeah. 737 00:35:18,909 --> 00:35:20,048 [Researcher] It's gonna be tricky. 738 00:35:20,048 --> 00:35:21,602 The trouble with today is that 739 00:35:21,602 --> 00:35:23,328 it's just coming and going all the time. 740 00:35:23,328 --> 00:35:24,432 - Just have to wait. - [John] Yep. 741 00:35:24,432 --> 00:35:25,399 That's all we can do. 742 00:35:27,987 --> 00:35:30,542 [Allison] This is just a classic example 743 00:35:30,542 --> 00:35:34,546 of science schools meeting the reality of fieldwork. 744 00:35:34,546 --> 00:35:37,514 They've come all this way with specialist equipment 745 00:35:37,514 --> 00:35:41,725 just to stand here and stare at the sky for hours. 746 00:35:43,175 --> 00:35:45,695 But scientists are famously patient. 747 00:35:47,145 --> 00:35:47,973 [Researcher] It might be all right John, 748 00:35:47,973 --> 00:35:49,181 it's still going up or? 749 00:35:49,181 --> 00:35:50,389 [Researcher] No, it's steady now. 750 00:35:50,389 --> 00:35:51,770 [Researcher] Okay, let's do it. 751 00:35:53,047 --> 00:35:55,429 [Researcher] Okay, pop it on. 752 00:35:55,429 --> 00:35:57,327 [Researcher] We are tentatively happy. 753 00:35:57,327 --> 00:35:59,778 We'll be happy when the money's in the bank, 754 00:35:59,778 --> 00:36:01,607 when the data are on the hard drive. 755 00:36:03,989 --> 00:36:05,370 [Researcher] All right, now we'll put the dust on. 756 00:36:05,370 --> 00:36:06,819 [Researcher] Yeah, you put the dust on. 757 00:36:10,271 --> 00:36:12,411 [equipment thuds] 758 00:36:12,411 --> 00:36:14,102 [Researcher] Okay. 759 00:36:16,208 --> 00:36:17,899 [Researcher] Okay. 760 00:36:21,524 --> 00:36:24,182 [Allison] This might be their only weather window, 761 00:36:24,182 --> 00:36:27,944 so they've got to make hay or dust while the sun shines. 762 00:36:29,221 --> 00:36:31,085 - [Researcher] Are you ready? - [Researcher] Yep. 763 00:36:31,085 --> 00:36:31,913 [Researcher] Spectralon first. 764 00:36:31,913 --> 00:36:33,156 [Researcher] Yep. 765 00:36:33,156 --> 00:36:34,537 [Researcher] Oh, we have to be quick. 766 00:36:34,537 --> 00:36:36,194 If not, we won't get the last one. 767 00:36:36,194 --> 00:36:37,747 [Researcher] Yeah, got it. 768 00:36:37,747 --> 00:36:38,989 [Researcher] I'm not sure 769 00:36:38,989 --> 00:36:40,577 that we've got full sun anymore, John. 770 00:36:40,577 --> 00:36:41,820 [Researcher] This is the last one anyway. 771 00:36:41,820 --> 00:36:44,857 [dramatic music] 772 00:36:44,857 --> 00:36:46,618 One, two, three, four, five. 773 00:36:46,618 --> 00:36:49,448 [Researcher] Yep, that's a wrap. 774 00:36:50,829 --> 00:36:53,141 [Researcher] I feel quite pleased, but you know, 775 00:36:53,141 --> 00:36:55,696 it's frustrating the clouds, 776 00:36:55,696 --> 00:36:58,077 they just have to be right for us, 777 00:36:58,077 --> 00:37:00,287 but it's good to at least have one in the bag. 778 00:37:01,978 --> 00:37:03,186 [Researcher] It's good. 779 00:37:03,186 --> 00:37:03,980 [Researcher] We've got some numbers 780 00:37:03,980 --> 00:37:04,739 to play with at least. 781 00:37:04,739 --> 00:37:06,465 [ice jiggling] 782 00:37:06,465 --> 00:37:09,088 [gentle music] 783 00:37:11,470 --> 00:37:14,128 [Researcher] Another day of pushing back the frontiers. 784 00:37:14,128 --> 00:37:16,855 [woman laughing] 785 00:37:19,064 --> 00:37:20,686 [Researcher] That's a relief today. 786 00:37:20,686 --> 00:37:22,895 We've been organizing and thinking about this 787 00:37:22,895 --> 00:37:24,345 for such a long time, I mean, 788 00:37:24,345 --> 00:37:26,485 it's been years that's sort of in the making really. 789 00:37:26,485 --> 00:37:27,969 And it all came together. 790 00:37:27,969 --> 00:37:31,697 We recorded something like a 160 files, 791 00:37:31,697 --> 00:37:34,459 and each file would have at least a couple of thousand 792 00:37:34,459 --> 00:37:35,460 data points on them. 793 00:37:36,944 --> 00:37:38,670 So today, we looked at albedo 794 00:37:38,670 --> 00:37:40,810 from different amounts of dust on the snow. 795 00:37:42,260 --> 00:37:44,400 We need to analyze all of our data, 796 00:37:44,400 --> 00:37:46,505 but ultimately we'll be able to say what the effect 797 00:37:46,505 --> 00:37:48,335 of the bushfire dust is on melting. 798 00:37:49,681 --> 00:37:51,752 Then we can go one step further and grow the snow algae, 799 00:37:51,752 --> 00:37:54,064 to see if they can change things even more. 800 00:37:54,927 --> 00:37:55,997 [gentle music] 801 00:37:55,997 --> 00:37:58,068 Just looking at the plots today, 802 00:37:58,068 --> 00:38:00,623 you could see it had an effect, like they, 803 00:38:00,623 --> 00:38:03,211 they physically changed in their appearance. 804 00:38:04,385 --> 00:38:08,113 So clearly the bushfire dust speeds up melting, 805 00:38:08,113 --> 00:38:10,218 and to see more or less in real time 806 00:38:10,218 --> 00:38:12,773 what was the effect of that, is quite sobering. 807 00:38:12,773 --> 00:38:14,740 [water trickling] 808 00:38:14,740 --> 00:38:16,639 [Allison] The fact that the same dust 809 00:38:16,639 --> 00:38:19,400 is triggering huge algal blooms as well, 810 00:38:19,400 --> 00:38:22,748 means the implications could be much more severe. 811 00:38:22,748 --> 00:38:25,475 The impacts of that albedo double whammy 812 00:38:25,475 --> 00:38:29,410 will then be felt far beyond just the Tasman Glacier. 813 00:38:29,410 --> 00:38:31,067 Glacial systems are, 814 00:38:32,171 --> 00:38:35,830 they're of extreme importance to humanity, 815 00:38:35,830 --> 00:38:38,419 because they act as natural water towers. 816 00:38:38,419 --> 00:38:42,561 So in summer, they give up their water sort of gradually, 817 00:38:42,561 --> 00:38:44,322 not in a rush like a flood. 818 00:38:44,322 --> 00:38:46,220 And so that's very useful for things 819 00:38:46,220 --> 00:38:50,466 like hydroelectricity generation, irrigation, 820 00:38:50,466 --> 00:38:51,881 other human uses of water. 821 00:38:53,469 --> 00:38:56,506 It's important to understand how quickly snow melts, 822 00:38:56,506 --> 00:38:59,544 and how quickly glaciers may recede, 823 00:38:59,544 --> 00:39:03,513 because it has this knock-on effect to the way we use water 824 00:39:03,513 --> 00:39:04,618 as a society. 825 00:39:05,826 --> 00:39:08,415 What we're seeing now in more recent years, 826 00:39:08,415 --> 00:39:11,245 are bushfires that are larger, that burn longer, 827 00:39:11,245 --> 00:39:14,213 that burn hotter, that are more prevalent. 828 00:39:14,213 --> 00:39:17,458 They're bringing all of this material into the atmosphere 829 00:39:17,458 --> 00:39:19,667 and it's deposited all around the world, 830 00:39:19,667 --> 00:39:22,670 including on glaciers far, far away. 831 00:39:24,154 --> 00:39:25,535 What this means is, is that 832 00:39:25,535 --> 00:39:28,158 there's a very, very strong linkage and feedback 833 00:39:28,158 --> 00:39:32,370 between bushfires and glacial ecosystems around the world. 834 00:39:33,785 --> 00:39:37,409 So, these studies will help us better predict connections 835 00:39:37,409 --> 00:39:40,481 and feedbacks that would otherwise have been overlooked. 836 00:39:40,481 --> 00:39:42,449 [gentle music] 837 00:39:42,449 --> 00:39:45,210 Back from our mission on Mount St. Helen's, 838 00:39:45,210 --> 00:39:46,936 I'm hoping we've not overlooked 839 00:39:46,936 --> 00:39:49,214 any potentially life-saving microbes. 840 00:39:50,457 --> 00:39:53,114 Roberto has downed his crampons and carabiners, 841 00:39:53,114 --> 00:39:54,392 and donned his lab coat, 842 00:39:55,531 --> 00:39:57,740 which I hope means he has some results. 843 00:39:59,155 --> 00:40:00,915 You might be able to see here, there's a halo, 844 00:40:00,915 --> 00:40:03,608 a huge halo around these two bacteria here. 845 00:40:03,608 --> 00:40:06,438 So we test these ice cave bacteria 846 00:40:06,438 --> 00:40:09,165 against bacteria that caused disease in humans. 847 00:40:10,546 --> 00:40:14,308 [Allison] Roberto's Petri dish is a bacterial battlefield. 848 00:40:14,308 --> 00:40:17,967 He has pitted our ice cave microbes against close relatives 849 00:40:17,967 --> 00:40:21,419 of the untreatable strains, to see if they can beat them. 850 00:40:22,696 --> 00:40:25,284 This one here is Staphylococcus epidermidis, 851 00:40:25,284 --> 00:40:27,425 a close relative of Staphylococcus aureus, 852 00:40:27,425 --> 00:40:29,357 and which can cause skin infections. 853 00:40:29,357 --> 00:40:31,670 It's quite resistant to antibiotic treatment. 854 00:40:31,670 --> 00:40:33,223 It can also get worse than a skin infection. 855 00:40:33,223 --> 00:40:36,675 It can spread throughout the blood to the whole body, 856 00:40:36,675 --> 00:40:39,195 and that's septicemia. 857 00:40:39,195 --> 00:40:40,403 And if that happens, 858 00:40:40,403 --> 00:40:42,923 and you cannot be treated for antibiotics, 859 00:40:42,923 --> 00:40:44,027 you could end up dying. 860 00:40:45,339 --> 00:40:46,961 So those two bacteria, 861 00:40:46,961 --> 00:40:50,586 the ice cave bacteria in the middle of those halos 862 00:40:50,586 --> 00:40:52,588 are producing some sort of a chemical, 863 00:40:52,588 --> 00:40:53,968 probably an antibiotic. 864 00:40:53,968 --> 00:40:55,556 Oh wow. 865 00:40:55,556 --> 00:40:58,283 Is this the holy grill we've been looking for? 866 00:41:00,630 --> 00:41:03,461 We know there are super strains of microbes out there, 867 00:41:03,461 --> 00:41:06,912 impervious to any kind of antibiotic we throw at them, 868 00:41:08,327 --> 00:41:10,295 but they've never met the extremophile bacteria 869 00:41:10,295 --> 00:41:12,815 that we found inside the volcano, 870 00:41:12,815 --> 00:41:15,783 and they've not evolved defenses against their attacks. 871 00:41:17,164 --> 00:41:19,684 But we're seeing here, could be the start 872 00:41:19,684 --> 00:41:22,238 of a brand new antibiotic treatment. 873 00:41:23,653 --> 00:41:25,413 So it's actually really exciting that we are finding 874 00:41:25,413 --> 00:41:28,555 ice cave bacteria that are making an antibiotic, 875 00:41:28,555 --> 00:41:30,557 that is killing off a relative 876 00:41:30,557 --> 00:41:34,388 of an extremely dangerous disease-causing human pathogen. 877 00:41:35,527 --> 00:41:36,459 It's so cool, it's really cool. 878 00:41:36,459 --> 00:41:37,736 - [Roberto laughs] - Yeah. 879 00:41:39,186 --> 00:41:42,051 We're in this arms race against bacteria, 880 00:41:42,051 --> 00:41:45,226 and we're trying to develop tools to combat them. 881 00:41:45,226 --> 00:41:47,919 As we develop more tools to fight back against them, 882 00:41:47,919 --> 00:41:50,335 they develop adaptations to fight back 883 00:41:50,335 --> 00:41:51,923 against those antibiotics. 884 00:41:53,407 --> 00:41:56,514 And so, how remarkable is it, that in this expedition, 885 00:41:56,514 --> 00:41:58,619 we've found solutions, 886 00:41:58,619 --> 00:42:01,795 compounds that could save our lives today 887 00:42:01,795 --> 00:42:04,073 and the lives of future generations. 888 00:42:06,558 --> 00:42:09,527 And extreme microbes aren't the only lifeforms 889 00:42:09,527 --> 00:42:13,116 hidden in our ice that could revolutionize medical science. 890 00:42:14,014 --> 00:42:16,085 [dramatic music] 891 00:42:16,085 --> 00:42:19,467 I'm actually traveling not far from Mount St. Helen's. 892 00:42:20,848 --> 00:42:23,989 I'm traveling about 50 miles North to Mount Rainier, 893 00:42:23,989 --> 00:42:25,473 to find the largest creature 894 00:42:25,473 --> 00:42:28,925 to actually live within the ice. 895 00:42:28,925 --> 00:42:31,549 They've rarely been captured on camera, 896 00:42:31,549 --> 00:42:34,517 but this is what I'm looking for. 897 00:42:34,517 --> 00:42:35,622 Ice worms. 898 00:42:35,622 --> 00:42:38,625 This footage is amazing and really rare. 899 00:42:38,625 --> 00:42:40,212 So few people have seen them, 900 00:42:40,212 --> 00:42:43,457 and I mean they're a complete mystery to us. 901 00:42:44,838 --> 00:42:47,841 This is one of the only places in the world 902 00:42:47,841 --> 00:42:50,188 where you can find ice worms. 903 00:42:50,188 --> 00:42:52,190 Few animals have evolved to live 904 00:42:52,190 --> 00:42:54,779 in such an inhospitable habitat. 905 00:42:54,779 --> 00:42:57,091 Looking at organisms that live in extreme environments, 906 00:42:57,091 --> 00:42:59,266 they have these amazing adaptations 907 00:42:59,266 --> 00:43:01,717 that have evolved over millennia, and as humans, 908 00:43:01,717 --> 00:43:04,754 you have to think, what do they know about their environment 909 00:43:04,754 --> 00:43:06,549 that we can learn from them. 910 00:43:06,549 --> 00:43:08,516 [dramatic music] 911 00:43:08,516 --> 00:43:11,554 Ice worms aren't easy to find, 912 00:43:11,554 --> 00:43:13,521 but I'm determined to track them down, 913 00:43:13,521 --> 00:43:16,007 because I've heard their adaptations could save lives. 914 00:43:16,007 --> 00:43:17,940 Hey Scott, finally great to meet you. 915 00:43:17,940 --> 00:43:19,182 Hey Alli. 916 00:43:19,182 --> 00:43:20,632 Scott is one of the few people in the world 917 00:43:20,632 --> 00:43:23,566 who knows where to find ice worms. 918 00:43:23,566 --> 00:43:25,016 [helicopter whining] 919 00:43:25,016 --> 00:43:28,744 The only problem is, getting to them won't be easy. 920 00:43:28,744 --> 00:43:31,436 [pensive music] 921 00:43:34,025 --> 00:43:37,097 This year we had a really wet, snowy spring, 922 00:43:37,097 --> 00:43:40,272 and so there's a lot more snow up here than usual. 923 00:43:40,272 --> 00:43:42,102 So, we'll hopefully get a sense 924 00:43:42,102 --> 00:43:44,242 of what route we wanna take. 925 00:43:44,242 --> 00:43:46,624 [pensive music] 926 00:43:46,624 --> 00:43:50,110 So, Mount Rainier actually is a pretty dangerous place. 927 00:43:50,110 --> 00:43:53,631 It's one of the snowiest places in the United States. 928 00:43:53,631 --> 00:43:57,842 On average, it gets 15 meters of snow each year, 929 00:43:57,842 --> 00:43:59,119 and with that amount of snowfall, 930 00:43:59,119 --> 00:44:03,537 there are inherent dangers, avalanches, 931 00:44:03,537 --> 00:44:06,264 serac falls and crevasses. 932 00:44:07,748 --> 00:44:09,957 You can just see how intense 933 00:44:09,957 --> 00:44:12,926 and extreme that environment is. 934 00:44:12,926 --> 00:44:17,102 There's tons of snow, but lots of jagged mountain edges. 935 00:44:17,102 --> 00:44:19,380 So this big ice ball here is the Nisqually ice ball, 936 00:44:19,380 --> 00:44:22,590 and it's one of the main places that has a lot of ice worms. 937 00:44:22,590 --> 00:44:25,421 All these little cracks are 20-feet wide, 938 00:44:25,421 --> 00:44:27,457 and 40 or 60-feet deep. 939 00:44:27,457 --> 00:44:30,253 This mountain holds most of the ice in the lower 48 states, 940 00:44:30,253 --> 00:44:32,428 in the lower latitudes of the US. 941 00:44:32,428 --> 00:44:34,188 So if there's a place to really understand 942 00:44:34,188 --> 00:44:36,639 the future of ice worms and what's going on with them, 943 00:44:36,639 --> 00:44:37,467 it's here. 944 00:44:37,467 --> 00:44:39,055 [pensive music] 945 00:44:39,055 --> 00:44:42,610 From the air, we've picked out a potentially safe route, 946 00:44:42,610 --> 00:44:45,855 but we still need support from Scott's colleague Peter, 947 00:44:45,855 --> 00:44:48,271 and a pair of local mountain guides. 948 00:44:49,479 --> 00:44:53,000 And it's about 2.1 miles from here, 949 00:44:53,000 --> 00:44:55,934 and 1800 feet of elevation. 950 00:44:55,934 --> 00:45:00,870 [dramatic music] [ice crunches] 951 00:45:03,597 --> 00:45:05,357 This mountain is enormous, 952 00:45:05,357 --> 00:45:07,774 and it creates its own weather system. 953 00:45:07,774 --> 00:45:11,225 Can really feel the power of nature up here. 954 00:45:13,193 --> 00:45:17,128 5 billion ice worms can live on a single glacier. 955 00:45:17,128 --> 00:45:18,854 How do they do it? 956 00:45:18,854 --> 00:45:21,649 [dramatic music] 957 00:45:22,996 --> 00:45:24,273 [Scott] Well, what's pretty wild is that, I mean, 958 00:45:24,273 --> 00:45:25,895 they're ice worms, they live in ice, 959 00:45:25,895 --> 00:45:28,415 but you set them to be this like really cold, tolerant, 960 00:45:28,415 --> 00:45:29,727 extreme organism, 961 00:45:31,867 --> 00:45:33,420 but they can't freeze. 962 00:45:33,420 --> 00:45:35,146 They freeze, they die. 963 00:45:35,146 --> 00:45:36,319 [Allison] But that's right on the edge. 964 00:45:36,319 --> 00:45:37,873 [Scott] They're living right on the edge 965 00:45:37,873 --> 00:45:38,805 of what they can tolerate, 966 00:45:38,805 --> 00:45:40,185 but they do really well here. 967 00:45:45,190 --> 00:45:48,055 Ooh, Scott, is this the ice worm? 968 00:45:48,055 --> 00:45:49,608 This little thing, right here. 969 00:45:49,608 --> 00:45:50,678 [Scott] Oh yeah, it is. 970 00:45:50,678 --> 00:45:52,957 [gentle music] 971 00:45:52,957 --> 00:45:54,165 [Allison] Is it okay to 972 00:45:54,165 --> 00:45:55,097 [Scott] Yeah, yeah, yeah, pick it up. 973 00:45:55,097 --> 00:45:55,891 [Allison] just keep it up. 974 00:45:55,891 --> 00:45:56,926 [Scott] Yeah. 975 00:45:56,926 --> 00:45:58,169 And kind of look at it. 976 00:45:59,446 --> 00:46:01,897 I mean, he's moving. 977 00:46:01,897 --> 00:46:03,519 So they're the largest organism on earth 978 00:46:03,519 --> 00:46:06,108 that spends its whole life cycle in ice, so they're totally- 979 00:46:06,108 --> 00:46:07,903 Whoa, whoa, whoa, back it up, largest. 980 00:46:07,903 --> 00:46:09,111 So this is the largest? 981 00:46:09,111 --> 00:46:10,112 [Scott] I mean, we would love to be wrong, 982 00:46:10,112 --> 00:46:11,665 [Allison] Glacier ice. 983 00:46:11,665 --> 00:46:13,184 I would love to hear about something newly discovered. 984 00:46:13,184 --> 00:46:14,599 [Peter] Glacial megafauna. 985 00:46:14,599 --> 00:46:15,842 Yeah. 986 00:46:15,842 --> 00:46:19,086 So every day they have this cyclical emergence, 987 00:46:19,086 --> 00:46:20,536 where they'll come out, 988 00:46:20,536 --> 00:46:22,055 they'll come to the surface later in the day, 989 00:46:22,055 --> 00:46:24,505 to get some sunshine, but also to feed. 990 00:46:25,955 --> 00:46:29,269 [Allison] Life for an ice worm is no walk in the park. 991 00:46:29,269 --> 00:46:31,581 To eat, they have to come up to the surface 992 00:46:31,581 --> 00:46:33,204 to snack on snow algae, 993 00:46:34,412 --> 00:46:36,345 but the surface can be deadly for them. 994 00:46:38,865 --> 00:46:40,349 Despite their name, 995 00:46:40,349 --> 00:46:45,354 ice worms will die just 0.1 degrees below freezing, 996 00:46:46,804 --> 00:46:48,529 and the glacier's surface temperature swings massively 997 00:46:48,529 --> 00:46:50,083 from day to night. 998 00:46:50,083 --> 00:46:52,361 So the worm's time window is small. 999 00:46:53,845 --> 00:46:55,640 So where have they all been hiding? 1000 00:46:56,503 --> 00:46:57,435 [pensive music] 1001 00:46:57,435 --> 00:46:59,851 [ice cracking and booming] 1002 00:46:59,851 --> 00:47:02,889 This is what is happening below the ice. 1003 00:47:04,511 --> 00:47:05,926 At night, 1004 00:47:05,926 --> 00:47:08,687 the temperatures on the surface drop well below freezing, 1005 00:47:10,137 --> 00:47:13,692 but just under the surface there's an insulated oasis 1006 00:47:13,692 --> 00:47:16,972 for the ice worms that hovers just above the freezing point. 1007 00:47:18,594 --> 00:47:19,871 When the sun rises, 1008 00:47:19,871 --> 00:47:22,943 its warmth slowly starts to make its way down 1009 00:47:22,943 --> 00:47:25,290 to the ice worm sanctuary. 1010 00:47:25,290 --> 00:47:28,431 The rising temperature eventually warms enough of the ice 1011 00:47:28,431 --> 00:47:30,848 to allow the worms to safely travel to the surface 1012 00:47:30,848 --> 00:47:32,332 where the can feed. 1013 00:47:35,714 --> 00:47:38,441 Question is, are the conditions right today 1014 00:47:38,441 --> 00:47:40,271 for the worms to make their commute? 1015 00:47:44,378 --> 00:47:46,415 [upbeat music] 1016 00:47:46,415 --> 00:47:47,243 There they are. 1017 00:47:48,313 --> 00:47:50,384 This is incredible, Scott. 1018 00:47:50,384 --> 00:47:52,352 There's really a lot of them. 1019 00:47:52,352 --> 00:47:54,906 [upbeat music] 1020 00:47:56,770 --> 00:47:59,669 They're really just like emerging out of the snow. 1021 00:47:59,669 --> 00:48:01,119 You can actually see some of them, 1022 00:48:01,119 --> 00:48:05,365 like this one right here, it's clearly an on the way up. 1023 00:48:05,365 --> 00:48:06,745 Wow. 1024 00:48:06,745 --> 00:48:08,747 It's like a meadow of worms. 1025 00:48:08,747 --> 00:48:11,336 [upbeat music] 1026 00:48:13,649 --> 00:48:16,894 These ice worms are emerging out of the snow pack 1027 00:48:16,894 --> 00:48:18,516 as I speak. 1028 00:48:18,516 --> 00:48:20,069 It's incredible. 1029 00:48:20,069 --> 00:48:23,866 Just in a matter of maybe 10 to 15 minutes, 1030 00:48:23,866 --> 00:48:27,283 there's hundreds of ice worms surrounding me. 1031 00:48:27,283 --> 00:48:30,321 Just take a look at the surface of the snow, 1032 00:48:30,321 --> 00:48:33,220 and this is just right within my reach, 1033 00:48:33,220 --> 00:48:34,842 centimeters away from me. 1034 00:48:34,842 --> 00:48:39,468 There's ice worms everywhere, literally everywhere. 1035 00:48:40,918 --> 00:48:44,093 Now that we've found them, our work can really begin. 1036 00:48:45,474 --> 00:48:47,683 These worms have adaptations that help them survive 1037 00:48:47,683 --> 00:48:49,927 more than just the shifting temperatures. 1038 00:48:51,549 --> 00:48:53,102 Scott is studying their genes 1039 00:48:53,102 --> 00:48:55,518 to try and unravel these mysteries. 1040 00:48:57,106 --> 00:48:59,729 There's really a lot of them coming out. 1041 00:48:59,729 --> 00:49:02,042 [Scott] Yeah, let's grab a few for the genomic work. 1042 00:49:02,042 --> 00:49:04,665 [Allison] Let me just get my hands ready. 1043 00:49:06,046 --> 00:49:07,565 They're the perfect candidate 1044 00:49:07,565 --> 00:49:10,671 for understanding the extremes of UV tolerance in animals. 1045 00:49:10,671 --> 00:49:13,951 I mean, they live in some of the most UV-intense places 1046 00:49:13,951 --> 00:49:15,711 in the world. 1047 00:49:15,711 --> 00:49:17,195 Yeah, I mean, 1048 00:49:17,195 --> 00:49:18,956 this environment isn't just extreme because it's cold. 1049 00:49:18,956 --> 00:49:20,785 I mean it's also hostile, because of like, 1050 00:49:20,785 --> 00:49:23,857 there's a very, very intense bright light 1051 00:49:23,857 --> 00:49:25,203 that we're experiencing, 1052 00:49:25,203 --> 00:49:27,343 but obviously the worms are experiencing 1053 00:49:27,343 --> 00:49:29,104 at a whole another level. 1054 00:49:29,104 --> 00:49:32,659 Sunlight is also bouncing back onto them from the snow. 1055 00:49:34,316 --> 00:49:35,834 We've done some tests, 1056 00:49:35,834 --> 00:49:37,767 and they're one of the most UV-tolerant invertebrates 1057 00:49:37,767 --> 00:49:38,699 in the world, 1058 00:49:38,699 --> 00:49:40,218 if not the most UV-tolerant. 1059 00:49:40,218 --> 00:49:43,463 And so one of the ways that they manage the UV exposure, 1060 00:49:43,463 --> 00:49:44,671 is through pigmentation. 1061 00:49:47,053 --> 00:49:50,815 This is what makes ice worms so black. 1062 00:49:50,815 --> 00:49:53,921 It comes from the pigment melanin, 1063 00:49:53,921 --> 00:49:56,062 covering not just the worm's skin, 1064 00:49:56,062 --> 00:49:58,098 but also its internal organs. 1065 00:49:59,548 --> 00:50:02,689 If you extracted all of the melanin from an ice worm, 1066 00:50:02,689 --> 00:50:05,864 it wouldn't look too different from a common earthworm 1067 00:50:05,864 --> 00:50:07,487 in your garden. 1068 00:50:07,487 --> 00:50:09,558 But an earthworm wouldn't last long 1069 00:50:09,558 --> 00:50:12,561 against the intense UV radiation from above 1070 00:50:12,561 --> 00:50:14,183 and reflecting from below. 1071 00:50:16,013 --> 00:50:18,567 The melanin absorbs the damaging sunlight 1072 00:50:18,567 --> 00:50:21,673 before it can affect the worm's DNA, 1073 00:50:21,673 --> 00:50:24,297 meaning it can also sit longer in the sun, 1074 00:50:24,297 --> 00:50:25,850 keeping it warm. 1075 00:50:25,850 --> 00:50:28,404 I'm suspicious that these worms are doing 1076 00:50:28,404 --> 00:50:31,718 more than just blocking out the UV through melanin, 1077 00:50:31,718 --> 00:50:34,790 that they actually have really high-powered DNA 1078 00:50:34,790 --> 00:50:36,412 and repair pathways. 1079 00:50:36,412 --> 00:50:40,623 [bell chimes] [cells trickling] 1080 00:50:40,623 --> 00:50:42,763 Damaged DNA in humans can cause 1081 00:50:42,763 --> 00:50:45,387 all sorts of medical ailments. 1082 00:50:45,387 --> 00:50:46,595 For example, 1083 00:50:46,595 --> 00:50:49,011 skin cancer in humans is often caused 1084 00:50:49,011 --> 00:50:51,910 by overexposure to UV radiation, 1085 00:50:51,910 --> 00:50:55,880 which can alter a cell's DNA making it behave abnormally. 1086 00:50:57,054 --> 00:50:58,607 Interestingly enough, 1087 00:50:58,607 --> 00:51:01,403 ice worms live in an environment where they're inundated 1088 00:51:01,403 --> 00:51:02,818 with UV radiation, 1089 00:51:02,818 --> 00:51:05,717 but they seem to have mechanisms of DNA repair 1090 00:51:05,717 --> 00:51:07,202 that help them compensate 1091 00:51:07,202 --> 00:51:09,445 for that intense amount of exposure. 1092 00:51:10,929 --> 00:51:13,518 If we could tap into and understand 1093 00:51:13,518 --> 00:51:15,762 how they're repairing their DNA, 1094 00:51:15,762 --> 00:51:18,799 we could maybe address how we can solve the damage 1095 00:51:18,799 --> 00:51:22,079 that's caused in cells that cause cancer. 1096 00:51:22,079 --> 00:51:23,942 These elusive creatures promise 1097 00:51:23,942 --> 00:51:26,635 exciting medical breakthroughs. 1098 00:51:26,635 --> 00:51:28,223 So it's important to study them, 1099 00:51:28,223 --> 00:51:32,123 before climate change transforms their habitat. 1100 00:51:32,123 --> 00:51:34,850 These ice worms are the largest animal 1101 00:51:34,850 --> 00:51:38,888 that lives their entire life in a glacial ecosystem, 1102 00:51:38,888 --> 00:51:42,651 but they serve as a model for us to understand 1103 00:51:42,651 --> 00:51:45,240 what diversity exists in the cryosphere, 1104 00:51:45,240 --> 00:51:47,345 and what that means for us. 1105 00:51:47,345 --> 00:51:50,452 What if it turns out that ice worms hold the key 1106 00:51:50,452 --> 00:51:53,731 to understanding how we can repair DNA 1107 00:51:53,731 --> 00:51:56,009 and reduce the risk of cancer? 1108 00:51:56,009 --> 00:51:57,424 That's a possibility. 1109 00:51:57,424 --> 00:51:59,875 We don't know yet if that's going to happen, 1110 00:51:59,875 --> 00:52:02,395 but by being here and studying these worms, 1111 00:52:02,395 --> 00:52:04,500 we're getting closer to understanding 1112 00:52:04,500 --> 00:52:05,915 what they could tell us. 1113 00:52:10,196 --> 00:52:14,959 When we look at ice across our planet, it looks barren, 1114 00:52:18,307 --> 00:52:22,449 but what we've discovered is that it's not barren at all. 1115 00:52:22,449 --> 00:52:23,761 It's full of life, 1116 00:52:25,797 --> 00:52:29,042 but ice is still this extreme environment, 1117 00:52:30,561 --> 00:52:34,012 and these organisms that live on and in ice 1118 00:52:34,012 --> 00:52:36,049 are clinging onto that environment, 1119 00:52:36,049 --> 00:52:38,983 and have these really unique adaptations. 1120 00:52:38,983 --> 00:52:41,779 [gentle music] 1121 00:52:41,779 --> 00:52:46,024 I set out to lift the ice off of these organisms 1122 00:52:46,024 --> 00:52:50,132 to understand their unique power and potential. 1123 00:52:50,132 --> 00:52:53,204 And what we've seen is that these tiny organisms 1124 00:52:53,204 --> 00:52:58,071 that live within the ice, have the power to change the world 1125 00:52:58,071 --> 00:52:59,969 and the way we live within it. 1126 00:52:59,969 --> 00:53:02,317 [dramatic music] 1127 00:53:02,317 --> 00:53:04,767 I've seen firsthand the changes that are happening 1128 00:53:04,767 --> 00:53:06,113 to our cryosphere, 1129 00:53:07,253 --> 00:53:09,738 and it's a race against time for us to uncover 1130 00:53:09,738 --> 00:53:12,741 the power of living snow. 1131 00:53:12,741 --> 00:53:15,502 [dramatic music] 1132 00:53:21,059 --> 00:53:23,648 [upbeat music] 86747

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.