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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,990 --> 00:00:07,610 Australia is home to one of the world's most iconic zoos, Taronga, stretching 2 00:00:07,610 --> 00:00:14,490 from the shores of Sydney's famous harbour to the vast western plain 3 00:00:14,490 --> 00:00:15,910 zoo in Dubbo. 4 00:00:17,050 --> 00:00:22,390 But in a world that's ever -changing, every single birth we have is vitally 5 00:00:22,390 --> 00:00:25,690 important. One thing always stays the same. 6 00:00:25,910 --> 00:00:28,250 There comes a time when you just have to let go. 7 00:00:29,260 --> 00:00:30,980 The love these teams have. 8 00:00:31,380 --> 00:00:33,040 Two little lion cubs. 9 00:00:34,160 --> 00:00:37,160 For the thousands of animals in their care. On 10 00:00:37,160 --> 00:00:42,760 this episode. 11 00:00:43,060 --> 00:00:44,019 Poo is incredible. 12 00:00:44,020 --> 00:00:48,180 Who's poo in the zoo? You can't be shy or scared of it. You've just got to deal 13 00:00:48,180 --> 00:00:48,699 with it. 14 00:00:48,700 --> 00:00:49,860 The serious business. 15 00:00:50,220 --> 00:00:54,780 So we've actually got a nice fresh pile of poo right here. Of animal business. 16 00:00:55,340 --> 00:00:56,420 Unlabeled the poo guy. 17 00:00:57,740 --> 00:00:59,220 X -ray vision. 18 00:00:59,480 --> 00:01:04,099 The computer can get an idea of what a shingleback looks like. Taronga wages 19 00:01:04,099 --> 00:01:09,080 against the animal smugglers. This will save thousands of shinglebacks smuggled 20 00:01:09,080 --> 00:01:10,740 out of Australia every year. 21 00:01:11,060 --> 00:01:14,200 And welcome to the school of rock. 22 00:01:15,300 --> 00:01:19,240 Teaching these sweet birds to make some tweet tweet music. 23 00:01:19,740 --> 00:01:22,600 The playback is having an impact and is being successful. 24 00:01:22,880 --> 00:01:25,700 It's become the core part of our breeding program. 25 00:01:34,160 --> 00:01:40,040 It's a well -known fact of nature that what goes in must also come out. 26 00:01:43,280 --> 00:01:47,240 Poo at the zoo is something that most people don't get to see, but we deal 27 00:01:47,240 --> 00:01:53,000 it every single day, and there's a lot of it. We produce up to 30 tons a month. 28 00:01:53,080 --> 00:01:55,120 That's like 400 tons a year. 29 00:01:55,400 --> 00:02:02,120 Just one elephant alone produces around 100 kilograms of poo every day. 30 00:02:02,720 --> 00:02:06,540 Picking up poo or dealing with it is one of the most basic things you do as a 31 00:02:06,540 --> 00:02:10,940 zookeeper. So you can't be shy or scared of it. You've just got to deal with it. 32 00:02:11,240 --> 00:02:14,600 It might not be one of the most enjoyable parts of the job, but it's 33 00:02:14,600 --> 00:02:15,600 interesting. 34 00:02:16,940 --> 00:02:19,480 Very fragrant poop, but not bad. 35 00:02:19,840 --> 00:02:24,320 It doesn't smell bad. It smells very good. It smells like fresh hay, really. 36 00:02:24,540 --> 00:02:29,580 You can see how fibrous it is. People make paper out of elephant poop because 37 00:02:29,580 --> 00:02:30,780 it's so fibrous. 38 00:02:31,420 --> 00:02:32,700 Isn't that beautiful? 39 00:02:33,500 --> 00:02:37,580 Paper aside, the poo at Taronga has other uses too. 40 00:02:37,960 --> 00:02:42,220 It's a great way to grow an animal's sense of smell through a variety of 41 00:02:42,220 --> 00:02:43,220 enrichment activities. 42 00:02:43,700 --> 00:02:46,920 I have a morning present. I've got a nice fresh bucket of poo. 43 00:02:48,650 --> 00:02:52,110 In the wild, obviously, they would be coming across things like this all the 44 00:02:52,110 --> 00:02:57,030 time. So they need to identify smells. Obviously, if they were tracking herds 45 00:02:57,030 --> 00:03:01,470 and things like that, they need to identify fresh faeces. And we use it to 46 00:03:01,470 --> 00:03:02,650 enhance those skills. 47 00:03:03,760 --> 00:03:07,400 It's something that's obviously a dirty part of the job that the keepers have to 48 00:03:07,400 --> 00:03:10,760 do, but it's also a really scientific part of the job. We get a lot of 49 00:03:10,760 --> 00:03:14,860 information from poo. So I'm obviously interested in what goes in and what 50 00:03:14,860 --> 00:03:19,080 out, and generally poop will give us a lot of information as to what happens in 51 00:03:19,080 --> 00:03:20,080 the middle. 52 00:03:20,180 --> 00:03:25,640 From that poo sample, they're going to be able to extract information which is 53 00:03:25,640 --> 00:03:27,460 hopefully going to confirm she's pregnant. 54 00:03:27,700 --> 00:03:31,800 In fact, every sample has its own unique story to tell. 55 00:03:32,780 --> 00:03:37,620 And, just like the animals at Taronga, it arrives in all shapes and sizes. 56 00:03:38,000 --> 00:03:41,920 Right now we're going to look at koala poop, and that's one of our smaller 57 00:03:41,920 --> 00:03:42,879 in the zoo. 58 00:03:42,880 --> 00:03:48,180 Now normally koalas, we want 120 to 150 pellets a day, and that shows that 59 00:03:48,180 --> 00:03:49,180 they're in good health. 60 00:03:50,020 --> 00:03:51,780 Oh, but it smells lovely and fresh. 61 00:03:52,000 --> 00:03:55,260 It smells just like eucalyptus leaves. I would actually put this in a diffuser 62 00:03:55,260 --> 00:03:56,260 in my home if I could. 63 00:03:56,600 --> 00:03:57,720 Oh, just one more. 64 00:03:59,180 --> 00:04:03,020 Yes, very, very fresh. And I do like herbivore feces. It always smells like 65 00:04:03,020 --> 00:04:04,880 fresh mown hay or whatever they're eating. 66 00:04:06,200 --> 00:04:09,920 Yes, the keepers are counting the fecal pellets if it is in a pellet form like 67 00:04:09,920 --> 00:04:14,380 this. But they're also checking to see, is the consistency good? You know, is it 68 00:04:14,380 --> 00:04:19,279 firm? Is it moist enough? The keepers keep track and they score the poop for 69 00:04:20,620 --> 00:04:23,680 And when that score from the keepers is not good... 70 00:04:23,920 --> 00:04:29,920 Michelle, Australia's only zoo nutritionist and part -time poo 71 00:04:29,920 --> 00:04:31,000 who you're going to call. 72 00:04:31,800 --> 00:04:35,840 So do they have regular toileting areas or is it different every day? 73 00:04:36,220 --> 00:04:37,260 There is some. 74 00:04:37,930 --> 00:04:41,570 consistency to where they will go. It tends to be, so you can see a little bit 75 00:04:41,570 --> 00:04:45,690 here, at the base of a feeding station where a bucket might be. 76 00:04:46,150 --> 00:04:50,510 Today, it's a different kind of monkey business that has keepers worried. 77 00:04:50,830 --> 00:04:51,830 There's a bit more here. 78 00:04:52,110 --> 00:04:56,910 The fact that I haven't actually seen any solid poo from them today might 79 00:04:56,910 --> 00:05:00,690 suggest that they both actually have diarrhea because normally we would see a 80 00:05:00,690 --> 00:05:02,370 normal poo from one of them. 81 00:05:03,470 --> 00:05:07,010 If you have a look at that, Michelle, you can see how watery that is. 82 00:05:07,400 --> 00:05:10,320 I mean, that's a complete grade five, you know, which we'd never want to see. 83 00:05:10,420 --> 00:05:13,420 Yeah. And we haven't seen it for a long time. And a couple of days ago, it was 84 00:05:13,420 --> 00:05:15,180 quite formed. Yeah. Yep. Yeah. 85 00:05:15,540 --> 00:05:18,780 So, Michelle, if you have a look at that, this is an old poo, but you can 86 00:05:18,780 --> 00:05:21,780 that it is formed. So, this is what we would like to see more often. 87 00:05:22,000 --> 00:05:25,340 Yeah. So, this, I mean, when we're looking, we're talking this could 88 00:05:25,400 --> 00:05:28,820 now it's older and dry. Yeah. But maybe it was between a two and a three. I 89 00:05:28,820 --> 00:05:29,719 think so, yeah. 90 00:05:29,720 --> 00:05:33,120 And we do normally see that consistency in their poo. 91 00:05:33,440 --> 00:05:36,060 This is what we're seeing right now. What we're seeing today is this. 92 00:05:37,420 --> 00:05:41,800 It's not looking good. Textbook 5 out of 5 fecal consistency, and that means 93 00:05:41,800 --> 00:05:42,800 that it's... 94 00:05:43,120 --> 00:05:44,240 basically completely liquid. 95 00:05:44,500 --> 00:05:48,520 But we're just going to try and see if this is just a one -off thing. Maybe 96 00:05:48,520 --> 00:05:51,400 a fluke, a little bit of stress in their life that we are not really aware of, 97 00:05:51,440 --> 00:05:55,080 could be part of a breeding thing, maybe some hormones that have changed. 98 00:05:55,300 --> 00:05:58,380 We're just going to investigate this a little bit further, give it a couple of 99 00:05:58,380 --> 00:06:00,640 days, see if it improves over time. 100 00:06:01,160 --> 00:06:06,940 And if it doesn't, we'll probably be looking at trying to investigate a 101 00:06:06,940 --> 00:06:09,980 of different factors that can contribute to this kind of fecal consistency. 102 00:06:15,120 --> 00:06:16,120 Oh, what have I got? 103 00:06:16,540 --> 00:06:17,540 Num, num, num. 104 00:06:17,660 --> 00:06:22,620 Every keeper at Taronga, whether it's at Western Plains in Dubbo... Very good 105 00:06:22,620 --> 00:06:26,320 guys, hey? ..or in Sydney... Oh, here we go. Good girl. 106 00:06:26,680 --> 00:06:29,140 ..is passionate about the animals in their care. 107 00:06:29,480 --> 00:06:34,760 For these staff, it's actually a calling that's many, many years in the making. 108 00:06:35,040 --> 00:06:35,859 Hey, hello. 109 00:06:35,860 --> 00:06:36,900 Oh, everybody's here. 110 00:06:37,220 --> 00:06:39,660 It certainly was for reptile keeper Stu. 111 00:06:39,980 --> 00:06:43,420 His love for his scaly friends is infectious. 112 00:06:44,140 --> 00:06:46,800 I've always been into snakes ever since I was a little bloke. 113 00:06:47,420 --> 00:06:48,420 Hello, buddy. 114 00:06:48,860 --> 00:06:53,280 The more I learnt about snakes and I'd ask the snake books for Christmas and 115 00:06:53,280 --> 00:06:57,320 go for walks down the bush, I think my mum really figured out that it's 116 00:06:57,320 --> 00:07:00,300 not a phase, that this could be a passion or this could be something that 117 00:07:00,300 --> 00:07:02,200 might be into for his whole life. 118 00:07:02,540 --> 00:07:06,080 Yeah, so I've really got to thank my mum for really nurturing my passion when it 119 00:07:06,080 --> 00:07:07,080 comes to reptiles. 120 00:07:16,620 --> 00:07:17,620 Hello, mate. 121 00:07:17,940 --> 00:07:19,280 Now, this is Oliver. 122 00:07:19,780 --> 00:07:23,840 Oliver is our olive python, so he's one of the largest constricting snakes that 123 00:07:23,840 --> 00:07:24,779 we've got here. 124 00:07:24,780 --> 00:07:28,680 Whenever we access Oliver's exhibit, we do have to be a little bit careful, but 125 00:07:28,680 --> 00:07:30,740 he is a completely non -venomous snake. 126 00:07:31,120 --> 00:07:34,680 We've got to make sure that we don't surprise him, just like any animal, even 127 00:07:34,680 --> 00:07:37,840 any person. No one likes to be surprised after they've just woken up. 128 00:07:39,800 --> 00:07:43,940 If a snake is moving fast, there's a reason. If a snake is biting, there's a 129 00:07:43,940 --> 00:07:48,110 reason. We want to let Oliver know that we're here, so I often have a good look. 130 00:07:48,190 --> 00:07:51,870 Okay, so he's definitely spotted me now because he's just raised his head right 131 00:07:51,870 --> 00:07:55,710 up. He looks extremely alert. And another way I can tell that he's alert 132 00:07:55,710 --> 00:07:56,709 tongue. 133 00:07:56,710 --> 00:08:00,490 The position that he's in right now is a pre -strike position. 134 00:08:00,930 --> 00:08:04,110 He'll do it with his mouth closed. He never strikes with his mouth open. 135 00:08:08,050 --> 00:08:11,930 Initially, he wasn't sure what was coming into his home. Once he realised 136 00:08:11,930 --> 00:08:13,810 me, he's got no fear. 137 00:08:14,700 --> 00:08:19,500 We can pick Oliver up and we can move him around his enclosure. When we need 138 00:08:19,500 --> 00:08:23,260 clean his exhibit or we might need to feed him if he's not in a good spot, we 139 00:08:23,260 --> 00:08:25,040 can pick him up and move him around. 140 00:08:29,280 --> 00:08:33,820 The olive python gets its name due to the colour of its body. It is olive in 141 00:08:33,820 --> 00:08:38,000 colour. But under the right light, you will see all the colours of the rainbow. 142 00:08:40,179 --> 00:08:42,940 Oliver is a python and all pythons are constricted. 143 00:08:43,240 --> 00:08:46,840 That means they wrap around their food and squeeze it. For this reason, they 144 00:08:46,840 --> 00:08:49,160 have to have large, muscular bodies. 145 00:08:50,200 --> 00:08:54,320 They are one of Australia's largest species of pythons. They could grow up 146 00:08:54,320 --> 00:08:59,560 kilos, and some pythons can subdue prey that is 100 % of their body weight. 147 00:08:59,800 --> 00:09:03,640 So if he's a 30 kilo python, he could eat a 30 kilo food item. 148 00:09:04,960 --> 00:09:07,240 They will only constrict their food. 149 00:09:07,460 --> 00:09:10,320 So as long as I don't smell like a rabbit, I should be okay. 150 00:09:10,970 --> 00:09:13,770 Oliver is definitely one of my favourites and that's because I've been 151 00:09:13,770 --> 00:09:15,350 after him for about 10 years. 152 00:09:15,710 --> 00:09:17,290 But also his demeanour. 153 00:09:17,550 --> 00:09:22,570 He's a very large mate that we can pick up with relative safety. 154 00:09:23,710 --> 00:09:28,870 But as large as he may be, when it comes to Stu sharing his love for all things 155 00:09:28,870 --> 00:09:33,950 reptile, his next house call shows that size clearly doesn't matter. 156 00:09:39,560 --> 00:09:44,720 Many of the animals at Taronga's two zoos are ambassadors for species 157 00:09:44,720 --> 00:09:46,380 by wildlife trafficking. 158 00:09:46,880 --> 00:09:50,840 And it's not just overseas animals that suffer this cruel fate. 159 00:09:51,560 --> 00:09:56,620 In fact, this iconic Australian lizard is a prime target. 160 00:09:56,980 --> 00:10:01,780 So shingleback is called a shingleback lizard due to all of these shingles or 161 00:10:01,780 --> 00:10:03,280 body coat of armour. 162 00:10:03,930 --> 00:10:07,870 The shingleback lizards, I like to say, are the most romantic lizards in 163 00:10:07,870 --> 00:10:11,630 Australia. That's because they're monogamous, which means that they mate 164 00:10:11,630 --> 00:10:16,810 life. There's been a recent study which has followed a pair for over 30 years, 165 00:10:16,950 --> 00:10:18,310 which is just absolutely amazing. 166 00:10:21,690 --> 00:10:26,170 Unfortunately, they're really popular in the illegal pet trade. 167 00:10:26,450 --> 00:10:31,390 So most of the shinglebacks here at Taronga are rescued or have been 168 00:10:31,390 --> 00:10:32,390 confiscated. 169 00:10:33,360 --> 00:10:38,880 Reggie here was found in a suitcase on the way to Japan by border force and 170 00:10:38,880 --> 00:10:40,960 brought to Taronga as his home. 171 00:10:41,580 --> 00:10:46,500 Reggie does have a partner. Her name is Georgie. We haven't had any babies yet, 172 00:10:46,540 --> 00:10:47,540 but hopefully soon. 173 00:10:48,000 --> 00:10:53,320 While Reggie was found and given a new life at Taronga, there's thousands that 174 00:10:53,320 --> 00:10:54,360 aren't so lucky. 175 00:10:55,400 --> 00:11:00,240 So Taronga has joined the fight to help, and Phoebe is collaborating with other 176 00:11:00,240 --> 00:11:01,700 scientists around the world. 177 00:11:02,040 --> 00:11:04,940 to try and put a stop to this barbaric practice. 178 00:11:05,480 --> 00:11:11,860 Illegal wildlife trade is the second greatest cause of global species loss 179 00:11:11,860 --> 00:11:15,600 billion dollar industry across the world and a multi -million dollar industry 180 00:11:15,600 --> 00:11:17,660 here in Australia, criminal industry. 181 00:11:18,000 --> 00:11:23,260 And many of these animals are smuggled through the post and we need ways to 182 00:11:23,260 --> 00:11:24,940 detect them to stop this crime. 183 00:11:25,360 --> 00:11:29,760 And to help do that, Phoebe is supplying the most important element. 184 00:11:30,410 --> 00:11:35,450 We get hundreds of thousands of wildlife coming through every year. They might 185 00:11:35,450 --> 00:11:40,470 have died by being hit by a car or some disease process and we take them and use 186 00:11:40,470 --> 00:11:42,570 them to see if we can forward science. 187 00:11:42,930 --> 00:11:47,210 One example is this poor shingleback. I've noticed it's got a bit of a stumpy 188 00:11:47,210 --> 00:11:52,250 arm so it might have lost a front limb there. You can also see that it's been 189 00:11:52,250 --> 00:11:56,050 post -mortem to check for diseases which we do for all our animals here at 190 00:11:56,050 --> 00:11:57,050 Taronga. 191 00:11:58,360 --> 00:12:02,880 shinglebacks, particularly, are Australia's most trafficked animal out 192 00:12:02,880 --> 00:12:07,580 Australia. People find them quite cute to have a male and a female pair as 193 00:12:07,880 --> 00:12:12,860 So a pair of these can go for anywhere between $30 ,000 and $40 ,000. 194 00:12:15,440 --> 00:12:20,800 Probably as heavily trafficked as the shingleback is its cousin. 195 00:12:21,480 --> 00:12:25,100 The blue -tongued, or the eastern blue -tongued lizard in this case, you might 196 00:12:25,100 --> 00:12:28,920 see blue -tongued lizards in and around Sydney. They're very common around these 197 00:12:28,920 --> 00:12:32,360 parts and very highly sought after across the world. 198 00:12:32,800 --> 00:12:38,960 So, in death, these reptiles are actually saving lives, helping fight the 199 00:12:38,960 --> 00:12:40,360 illegal wildlife trade. 200 00:12:41,050 --> 00:12:44,010 So this is an eastern water dragon and they come through the wildlife hospital 201 00:12:44,010 --> 00:12:44,989 quite often. 202 00:12:44,990 --> 00:12:49,190 And even though they're not heavily trafficked, they are really important 203 00:12:49,190 --> 00:12:52,930 to develop this database of different shapes and sizes of lizards. 204 00:12:53,990 --> 00:12:59,410 As part of that process, Phoebe is about to deliver these lizards to the very 205 00:12:59,410 --> 00:13:02,490 front line of Sydney's campaign to stop smuggling. 206 00:13:04,790 --> 00:13:08,990 Coming up, a special recipe for a very... 207 00:13:09,240 --> 00:13:10,240 Special Bongo. 208 00:13:10,400 --> 00:13:13,800 This powdery stuff here called Loosen Up, it just helps with his gut. 209 00:13:14,020 --> 00:13:18,100 And why a love song will actually save this bird's life. 210 00:13:18,360 --> 00:13:21,140 The whole population was reduced down to probably just a couple of thousand 211 00:13:21,140 --> 00:13:22,680 birds. Something had to be done. 212 00:13:29,940 --> 00:13:35,760 Both of Taronga's vast campuses are dedicated to the conservation of some of 213 00:13:35,760 --> 00:13:37,660 world's most endangered animals. 214 00:13:38,410 --> 00:13:42,450 one of which is the sweetly named Regent Honey Eater. 215 00:13:43,890 --> 00:13:49,010 The Regent Honey Eater used to be a really abundant bird in southeastern 216 00:13:49,010 --> 00:13:54,710 Australia, potentially in the many thousands of birds in flocks. But in the 217 00:13:54,710 --> 00:13:58,330 early 90s, the whole population was reduced down to probably just a couple 218 00:13:58,330 --> 00:14:03,290 thousand birds. And at that point, the zoo and people outside the zoo knew that 219 00:14:03,290 --> 00:14:04,290 something had to be done. 220 00:14:04,990 --> 00:14:07,110 Some birds were brought into the zoo. 221 00:14:07,660 --> 00:14:10,380 in the late 90s to begin a breeding program. 222 00:14:11,340 --> 00:14:12,520 Hi, Miss Pink. 223 00:14:13,680 --> 00:14:14,880 Where's your babies today? 224 00:14:15,320 --> 00:14:20,060 Since then, we've released over 300 birds into the wild to bolster that 225 00:14:20,060 --> 00:14:22,940 population. Get ready to join the flock. 226 00:14:23,280 --> 00:14:28,960 And to keep the momentum going after such a successful breeding program, Ben 227 00:14:28,960 --> 00:14:31,080 has his sights set even higher. 228 00:14:31,420 --> 00:14:36,180 His next target, increasing the birds' reproductive rate in the wild. 229 00:14:36,730 --> 00:14:39,370 But this challenge is an even trickier one. 230 00:14:39,650 --> 00:14:43,510 It's an evolving process. We're learning as we go. Research that we've done has 231 00:14:43,510 --> 00:14:49,510 told us that the ability to sing a song when the birds are released is really 232 00:14:49,510 --> 00:14:53,150 important for the survival of the birds once they get out in the wild. 233 00:14:55,450 --> 00:15:00,290 So one of the challenges with breeding region honey eaters is their song is 234 00:15:00,290 --> 00:15:02,190 different to the ones in the wild. 235 00:15:06,010 --> 00:15:10,210 Naturally, there'd be huge flocks of these birds and they'd have the 236 00:15:10,210 --> 00:15:14,010 to hear lots of other males singing during the breeding season and learn 237 00:15:14,010 --> 00:15:15,010 song. 238 00:15:15,370 --> 00:15:20,970 But in the zoo, the young just don't have that opportunity to learn in the 239 00:15:20,970 --> 00:15:22,630 way that they used to in the wild. 240 00:15:22,970 --> 00:15:27,550 And to make things even harder for Ben and his team, one of the honey eaters' 241 00:15:27,610 --> 00:15:31,290 greatest talent is proving to be one of their biggest problems. 242 00:15:31,730 --> 00:15:35,310 It's actually an amazing mimic and in some ways that... 243 00:15:35,610 --> 00:15:37,690 It's prize but also downfall, really. 244 00:15:40,110 --> 00:15:44,270 They're hearing other birds around them. It might be other birds that are in a 245 00:15:44,270 --> 00:15:48,590 nearby aviary or it might be wild birds that live in the zoo grounds as well. 246 00:15:50,310 --> 00:15:53,850 And they're starting to mimic bits of those other bird calls. 247 00:15:55,050 --> 00:15:59,330 We're worried that that might be now becoming a barrier to birds that are 248 00:15:59,330 --> 00:16:01,770 released, to finding mates. 249 00:16:02,270 --> 00:16:06,330 and also forming those big flocks that they would naturally form in the wild. 250 00:16:06,910 --> 00:16:10,870 So, to help the birds hit the right note... We'll put one over there and one 251 00:16:10,870 --> 00:16:11,870 over here. 252 00:16:11,970 --> 00:16:16,230 ...speakers are being installed in their aviaries to broadcast the life -saving 253 00:16:16,230 --> 00:16:20,910 love song of the wild regent honey eaters. We're trying to teach the birds 254 00:16:20,910 --> 00:16:25,730 are in the zoo the song that they need to learn so they can get out and sing 255 00:16:25,730 --> 00:16:26,730 right song in the wild. 256 00:16:27,390 --> 00:16:29,810 When the training is complete... 257 00:16:30,240 --> 00:16:33,300 Ben will put their singing skills to the test. 258 00:16:40,140 --> 00:16:43,320 For all the keepers at Taronga... Good morning. 259 00:16:43,560 --> 00:16:44,560 Hey, Kundu. 260 00:16:44,920 --> 00:16:49,520 ..carefully planning and monitoring animal nutrition is a crucial part of 261 00:16:49,520 --> 00:16:54,160 job. We're in a Kundu, the bongo's barn, and what we're going to do today before 262 00:16:54,160 --> 00:16:57,940 we clean his exhibit is give him a bit of food. So I've got some pellets here 263 00:16:57,940 --> 00:16:59,540 and a bit of other... 264 00:16:59,880 --> 00:17:03,600 Nice stuff that he can have with his morning lock in. So we just put those 265 00:17:03,600 --> 00:17:09,240 pellets in here in his trough so that he's nice and away from the door when we 266 00:17:09,240 --> 00:17:10,240 bring him inside. 267 00:17:10,300 --> 00:17:15,400 And then we give him some of this powdery stuff here called Loosen Up. It 268 00:17:15,400 --> 00:17:16,400 helps with his gut. 269 00:17:16,440 --> 00:17:20,940 He's a little bit old, so he needs a little bit of a extra push in the 270 00:17:20,940 --> 00:17:23,599 sometimes. And this will make his poos come out nice and easy. 271 00:17:23,859 --> 00:17:25,640 So we just sort of sprinkle that on there. 272 00:17:27,280 --> 00:17:31,640 And then we also give him some linseed oil. And that basically just tastes 273 00:17:31,640 --> 00:17:32,439 really nice. 274 00:17:32,440 --> 00:17:37,120 He's got a little bit of extra stuff in there that he really loves. Tastes 275 00:17:37,120 --> 00:17:37,939 really good. 276 00:17:37,940 --> 00:17:39,360 So we spray that on there. 277 00:17:39,760 --> 00:17:42,420 And now we can head on out and we'll bring him in. 278 00:17:42,720 --> 00:17:47,720 With Akundo's breakfast sorted, Jacob now has the opportunity to see for 279 00:17:47,720 --> 00:17:51,960 the results of his work and just how smoothly things are running. 280 00:17:52,200 --> 00:17:55,480 At the other end. And now we can head out and start cleaning. 281 00:17:56,590 --> 00:17:59,750 So when we clean the exhibit, we obviously want to make sure we get rid 282 00:17:59,750 --> 00:18:03,570 the poo in the exhibit, not just to keep it clean, but also to keep it free of 283 00:18:03,570 --> 00:18:04,770 things like disease and pests. 284 00:18:05,150 --> 00:18:09,370 One thing as well that's really important is we want to make sure that 285 00:18:09,370 --> 00:18:13,090 the poo that we do get is in really good condition as well. 286 00:18:13,850 --> 00:18:17,390 So we've actually got a nice fresh pile of poo right here. 287 00:18:19,530 --> 00:18:22,890 So Ikundu is an ungulate, and what you see is quite common in a lot of 288 00:18:22,890 --> 00:18:26,020 ungulates. but they have these kind of nice little pellet formations, much like 289 00:18:26,020 --> 00:18:30,600 giraffes. And what you find is when you break one open, his poo has got a lot of 290 00:18:30,600 --> 00:18:34,440 green stuff in it, which is actually hay and lettuce and whatnot. 291 00:18:34,660 --> 00:18:35,960 So it actually doesn't smell that bad. 292 00:18:36,180 --> 00:18:39,360 And a lot of that is not really processed that well through their 293 00:18:39,360 --> 00:18:42,520 system, which is one of the reasons. Whereas if you compare it to something 294 00:18:42,520 --> 00:18:45,840 a lion or another carnivore, their poo is often quite smelly. 295 00:18:47,540 --> 00:18:51,140 And people like Michelle, our nutritionist, who keeps track of all 296 00:18:51,420 --> 00:18:55,880 our animal's diet, is really interested in our poo and that way she knows that 297 00:18:55,880 --> 00:19:00,220 what she's doing is right and we know that our animals are really good and 298 00:19:00,220 --> 00:19:01,220 healthy too. 299 00:19:01,680 --> 00:19:07,060 But due to Akundu's age and history, Michelle's keen to start testing him 300 00:19:07,060 --> 00:19:10,320 regularly. Hey guys, how are you? I'm good, how are you? 301 00:19:10,520 --> 00:19:11,520 Good, come on in. 302 00:19:13,679 --> 00:19:17,680 Akundo is an older bongo, and he's been with us for quite a while. He's had a 303 00:19:17,680 --> 00:19:20,240 couple of gastrointestinal issues, so we're going to do a couple of different 304 00:19:20,240 --> 00:19:23,700 things today. We're going to look at his fecal consistency to make sure it's the 305 00:19:23,700 --> 00:19:28,540 right size and shape and texture, and then we're also going to look at the pH, 306 00:19:28,800 --> 00:19:32,960 and that can be kind of a canary in the mine if there's problems in terms of his 307 00:19:32,960 --> 00:19:37,880 acid balance, and see if we need to do any kind of medical procedures or 308 00:19:37,880 --> 00:19:42,920 or not we need to modify his diet because he's just an older animal and we 309 00:19:42,920 --> 00:19:44,660 to make sure he's healthy. make sure that he's getting all the nutrition that 310 00:19:44,660 --> 00:19:45,660 needs. 311 00:19:46,780 --> 00:19:51,900 Still to come, Taronga takes on the smugglers. We're teaching computers to 312 00:19:51,900 --> 00:19:53,340 for shapes of animals. 313 00:19:53,880 --> 00:19:58,920 And Stu's reptile road tour rolls on. This little guy here would be no more 314 00:19:58,920 --> 00:20:00,140 30 centimetres long. 315 00:20:00,360 --> 00:20:01,660 He's the world's smallest python. 316 00:20:07,900 --> 00:20:10,800 About half an hour west of Taronga Zoo... 317 00:20:11,000 --> 00:20:15,760 There's a massive Australia Post facility where scanning technology used 318 00:20:15,760 --> 00:20:20,940 bombs and other terrorist threats is now also being used to detect wildlife. 319 00:20:21,480 --> 00:20:23,040 This is where it all happens. 320 00:20:23,480 --> 00:20:28,680 Phoebe has brought reptile specimens from Taronga to help in a world -first 321 00:20:28,680 --> 00:20:34,480 project to fight the illegal wildlife trade, a multi -billion dollar global 322 00:20:34,480 --> 00:20:35,480 industry. 323 00:20:36,280 --> 00:20:38,100 This here is the RTC 110. 324 00:20:38,460 --> 00:20:39,460 So this is our machine. 325 00:20:39,540 --> 00:20:41,680 So this is, it's really, really big, tall enough. 326 00:20:41,980 --> 00:20:45,500 This is where the x -rays are. And then we come all the way down here. And this 327 00:20:45,500 --> 00:20:48,420 is where we put them. That's right. Great. So what do we have today? 328 00:20:48,680 --> 00:20:53,200 I've got an awesome selection today. Some reptiles. Great. And most 329 00:20:53,360 --> 00:20:54,360 the shingleback. 330 00:20:54,380 --> 00:20:55,640 Gosh, this one's really big. 331 00:20:55,880 --> 00:21:00,120 Yeah, he is. What we're looking for is that iconic shape. But the good thing 332 00:21:00,140 --> 00:21:01,300 what you can do is you can probably... 333 00:21:01,680 --> 00:21:04,760 Put it back in the bag. Yep. Because with the x -rays, they'll just shoot 334 00:21:04,760 --> 00:21:08,960 through this material so the computer can get an idea of what a shingle back 335 00:21:08,960 --> 00:21:09,699 looks like. 336 00:21:09,700 --> 00:21:10,800 We're going to place it here. 337 00:21:11,060 --> 00:21:13,460 Yep. So let's go. Bye, shingle back. 338 00:21:14,060 --> 00:21:17,540 There it goes. So we'll follow it as we come through. I'm going to introduce you 339 00:21:17,540 --> 00:21:20,860 to Kira from the Department of Agriculture, Water and the Environment. 340 00:21:21,120 --> 00:21:22,039 Girl power. 341 00:21:22,040 --> 00:21:22,899 Hey, how are you? 342 00:21:22,900 --> 00:21:25,680 And here's our sample already on the screen. Oh, wow. 343 00:21:26,980 --> 00:21:30,740 You obviously can't see the bag that the lizard is in. 344 00:21:31,420 --> 00:21:32,520 We can zoom in. 345 00:21:33,740 --> 00:21:36,040 Look how clear that is. That brings out more detail. 346 00:21:36,400 --> 00:21:37,580 You can see the eyes. 347 00:21:37,820 --> 00:21:38,960 So much detail. 348 00:21:39,800 --> 00:21:43,300 The unique thing about this is we've gone from 2D to 3D. 349 00:21:43,620 --> 00:21:48,280 3D allows us to look in and around the object. So if someone is smuggling an 350 00:21:48,280 --> 00:21:52,900 animal like this, we can look in and around items such as rice cookers or 351 00:21:52,980 --> 00:21:56,840 Yeah, so important because they're nearly always inside things, aren't 352 00:21:56,840 --> 00:22:01,410 effect. They're training the computer to recognise the different animals being 353 00:22:01,410 --> 00:22:06,490 smuggled. And the most intelligent part of this tech is what's known as a 354 00:22:06,490 --> 00:22:07,490 bounding box. 355 00:22:07,530 --> 00:22:10,630 It'll place items in a box and know what it is. 356 00:22:11,150 --> 00:22:16,110 So the bounding box has put, there's a threat there, which alarms the officer 357 00:22:16,110 --> 00:22:18,390 say, we need to look at this. Yeah, OK. 358 00:22:19,280 --> 00:22:23,100 We're teaching computers to look for shapes of animals, density. 359 00:22:23,440 --> 00:22:27,160 In terms of lizards, they've all got feet and claws. These are the types of 360 00:22:27,160 --> 00:22:31,080 things that we're looking for to allow computers to learn what to look for and 361 00:22:31,080 --> 00:22:33,400 to look for the items in a complicated scenario. 362 00:22:34,520 --> 00:22:38,120 Let's have a look at a variety of species and see how different they look 363 00:22:38,120 --> 00:22:39,520 machine. So what do you have? 364 00:22:40,340 --> 00:22:44,460 So we've got the eastern blue tongue. So really heavily trafficked as well. 365 00:22:45,020 --> 00:22:48,500 We've also got an eastern water dragon. It's interesting body shape, so I think 366 00:22:48,500 --> 00:22:51,860 it's great just to add contrast to the shingleback and the blue tongue. 367 00:22:53,520 --> 00:22:58,220 And now we can pretend to be a smuggler by placing it in luggage. I love adding 368 00:22:58,220 --> 00:22:59,220 it in the luggage. 369 00:23:00,560 --> 00:23:04,660 The good thing is it's really quick, so it means it can process a lot of bags in 370 00:23:04,660 --> 00:23:05,639 a short time. 371 00:23:05,640 --> 00:23:06,680 And ta -da! 372 00:23:07,220 --> 00:23:09,860 That's amazing, and you can really see the three different shapes. 373 00:23:11,040 --> 00:23:13,900 Recognising what those shapes actually have in common... 374 00:23:14,120 --> 00:23:16,040 is what the computer needs to learn. 375 00:23:16,600 --> 00:23:18,260 These animals all look different. 376 00:23:18,460 --> 00:23:22,280 This one here has a really nice long tail, which is unique to that animal. 377 00:23:22,280 --> 00:23:26,060 in essence, essentially what we're training the algorithm to look for is 378 00:23:26,060 --> 00:23:30,280 these animals have a curved body. They've got a skeleton. They're made up 379 00:23:30,280 --> 00:23:34,300 meat, that juicy component that will differentiate these animals, say, for 380 00:23:34,300 --> 00:23:38,040 example, in comparison to an apple. These are the key things that we're 381 00:23:38,040 --> 00:23:42,120 for in the algorithm that will allow us to try and detect, at least. 382 00:23:42,560 --> 00:23:49,000 illegal wildlife trafficking yeah amazing phoebe is about to find out just 383 00:23:49,000 --> 00:23:55,960 smart this technology has already become as part 384 00:23:55,960 --> 00:24:01,400 of reptile keeper stew's rounds he's checking in on some of his favorite 385 00:24:01,400 --> 00:24:08,240 while oliver australia's largest python enjoys his 386 00:24:08,240 --> 00:24:09,540 freshly cleaned exhibit 387 00:24:10,570 --> 00:24:12,930 Right, now we've got something very special. 388 00:24:13,810 --> 00:24:20,070 It's a tiny python with a peculiar name that now has Stu's undivided attention. 389 00:24:22,390 --> 00:24:24,110 Alright, this is little Joe. 390 00:24:24,330 --> 00:24:29,150 Joe is one of my favourites. He's actually named after my housemates 391 00:24:29,150 --> 00:24:30,150 they're both little terrors. 392 00:24:30,910 --> 00:24:36,490 Now what makes little Joe so important, so special, he's the world's smallest 393 00:24:36,490 --> 00:24:37,490 python. 394 00:24:37,640 --> 00:24:42,400 This is an adult pygmy python, and this little guy here would be no more than 30 395 00:24:42,400 --> 00:24:43,400 centimetres long. 396 00:24:44,080 --> 00:24:49,020 Found over in Western Australia, they do like the rocky outcrops. He is that top 397 00:24:49,020 --> 00:24:53,320 predator of these tiny little skinks and geckos that are cruising around those 398 00:24:53,320 --> 00:24:54,320 rocky outcrops. 399 00:24:56,180 --> 00:24:57,700 Joe is a constrictor. 400 00:24:58,260 --> 00:25:02,560 If little Joe was to wrap around my thumb and squeeze, he would stop the 401 00:25:02,560 --> 00:25:05,140 circulating to and from my thumb in several minutes. 402 00:25:05,630 --> 00:25:10,250 And it just goes to show just how powerful constrictors are. Even one this 403 00:25:10,250 --> 00:25:11,930 could do that sort of damage. 404 00:25:12,610 --> 00:25:17,230 It's definitely one of my favourites. And I think a lot of it comes down to 405 00:25:17,230 --> 00:25:23,850 is something with no arms, no legs, no ears and practically blind able to be so 406 00:25:23,850 --> 00:25:25,370 successful out in nature? 407 00:25:26,570 --> 00:25:27,570 Amazing. 408 00:25:28,230 --> 00:25:31,770 And I love being able to educate people that snakes are not evil. 409 00:25:32,380 --> 00:25:37,660 They're not nasty, mindless killers. These are wild animals that deserve our 410 00:25:37,660 --> 00:25:40,480 respect and we should give them a bit of a wide berth. 411 00:25:40,960 --> 00:25:46,680 Coming up, the high -tech business of business. We're going to make a poo 412 00:25:46,680 --> 00:25:49,680 because that's what we're going to need to do for the second part of our testing 413 00:25:49,680 --> 00:25:55,160 today. And why curious cats are bad news for these feather -tailed gliders. 414 00:25:55,500 --> 00:25:58,960 When you're as small as these guys in the wild, you're kind of mourning for 415 00:25:58,960 --> 00:25:59,960 of other species. 416 00:26:06,800 --> 00:26:11,760 Working so intimately with the animals at the zoo is often a very profound 417 00:26:11,760 --> 00:26:13,980 experience for Taronga's keepers. 418 00:26:14,380 --> 00:26:20,320 It's our job as keepers to make sure that we keep her healthy, well -fed, 419 00:26:20,520 --> 00:26:26,140 stress -free, because that's going to help her be able to keep these cubs nice 420 00:26:26,140 --> 00:26:27,140 and safe. 421 00:26:27,720 --> 00:26:30,180 For every high they celebrate... 422 00:26:30,510 --> 00:26:32,710 There's also the loads they battle through. 423 00:26:32,970 --> 00:26:36,150 Doesn't make it any easier though to have lots of them today. 424 00:26:38,290 --> 00:26:42,670 Keeper Paul has experienced them all while working with this amazing little 425 00:26:42,670 --> 00:26:43,670 native. 426 00:26:46,190 --> 00:26:51,590 This is one of my favourite areas because in here we've got feather 427 00:26:51,590 --> 00:26:53,950 gliders. They're a marsupial. 428 00:26:54,510 --> 00:26:58,450 And they're very tiny marsupial. I think we often think about marsupials and 429 00:26:58,450 --> 00:27:00,570 immediately think a kangaroo or a koala. 430 00:27:00,790 --> 00:27:02,270 These are so much smaller. 431 00:27:03,710 --> 00:27:04,850 This is fully grown. 432 00:27:05,230 --> 00:27:08,710 So you can imagine they are so tiny when they're born. So when they're born 433 00:27:08,710 --> 00:27:11,390 after 17 days, which is such a short pregnancy. 434 00:27:11,790 --> 00:27:15,410 And the babies are about the size when they're born of a grain of rice. So they 435 00:27:15,410 --> 00:27:16,910 are so, so tiny. 436 00:27:18,450 --> 00:27:21,650 They call it a feather -tailed glider because they've got a tail that looks 437 00:27:21,650 --> 00:27:25,330 like a feather. And they're not like a ring -tailed possum that can wrap it 438 00:27:25,330 --> 00:27:28,890 around a tree and support their whole weight on it, but they can use it for 439 00:27:28,890 --> 00:27:31,470 steering. So when they glide, it's like a rudder for them. 440 00:27:31,710 --> 00:27:33,610 And they can glide from tree to tree. 441 00:27:34,190 --> 00:27:39,070 And the other thing is, on each of their digits on their feet, they've got a 442 00:27:39,070 --> 00:27:40,850 tiny, tiny piece of skin. 443 00:27:41,470 --> 00:27:44,670 And it's like a little, it's spongy, so it's like a sucker. 444 00:27:45,050 --> 00:27:49,350 So it means that when they're running on a tree, They just adhere to it, so they 445 00:27:49,350 --> 00:27:53,130 can run on a smooth surface, which is very useful. When you're as small as 446 00:27:53,130 --> 00:27:57,030 guys in the wild, you're kind of mourning tea for lots of other species, 447 00:27:57,730 --> 00:28:02,370 reptiles, mammals. So the best thing you can do when you're this tiny and cute 448 00:28:02,370 --> 00:28:04,230 is escape quickly. 449 00:28:04,790 --> 00:28:09,750 But unfortunately, the very existence of one other species in particular has 450 00:28:09,750 --> 00:28:14,050 made any chance of escape near impossible for this tiny glider. 451 00:28:14,290 --> 00:28:16,210 So everybody who has a cat... 452 00:28:16,780 --> 00:28:22,320 who lets it out at night these are fair game and you can probably bet your 453 00:28:22,320 --> 00:28:26,600 bottom dollar that if your cat brings something home and spits it out on your 454 00:28:26,600 --> 00:28:30,560 kitchen floor and you're going oh i wonder what that was it could be a 455 00:28:30,560 --> 00:28:35,340 feathertail glider so so many of them are taken by people's pets which is a 456 00:28:35,340 --> 00:28:36,340 great great shame 457 00:28:37,230 --> 00:28:40,670 I think the easiest way is think about your own backyard. 458 00:28:41,050 --> 00:28:44,790 And there's so many things you can do to make it safer for wildlife. 459 00:28:45,030 --> 00:28:49,450 Be it a feather -tailed glider, be it a ring -tailed possum, be it a bandicoot. 460 00:28:50,040 --> 00:28:54,360 and maybe keep your pets in like if you keep your dog in at night you're 461 00:28:54,360 --> 00:28:57,760 probably going to have a better relationship with your neighbors because 462 00:28:57,760 --> 00:29:02,040 not upsetting them because as soon as any wildlife is using your garden your 463 00:29:02,040 --> 00:29:06,080 garden could be part of the wildlife corridor you don't know that and so 464 00:29:06,080 --> 00:29:09,440 guys are using your garden to travel through to somewhere else so that they 465 00:29:09,440 --> 00:29:13,780 feed but if you've got cats out at night and you've got dogs barking what chance 466 00:29:13,780 --> 00:29:14,780 do they have 467 00:29:15,750 --> 00:29:21,270 In 1991, the one -cent coin had a feather -tailed glider on it, and around 468 00:29:21,270 --> 00:29:22,850 that time they were taken out of circulation. 469 00:29:23,350 --> 00:29:25,370 I don't want it to end up like the one -cent coin. 470 00:29:25,590 --> 00:29:27,990 I don't want it to disappear off the face of the earth. 471 00:29:38,290 --> 00:29:41,970 Ikundu, the ageing bongo, has a history of stomach problems. 472 00:29:42,590 --> 00:29:47,290 But before the vets are called in, nutritionist Michelle wants to conduct a 473 00:29:47,290 --> 00:29:48,290 messy tests. 474 00:29:48,470 --> 00:29:50,710 Hey guys, how are you? I'm good, how are you? 475 00:29:50,910 --> 00:29:55,570 Good, come on in. To see if she can get to the bottom of his gastrointestinal 476 00:29:55,570 --> 00:29:58,630 problems. Perfect position for us here. Yeah, very good. 477 00:29:59,450 --> 00:30:03,270 Okay, so is this typical of a kundu's poop then? Yeah, this is really good. 478 00:30:03,270 --> 00:30:05,410 is what we want to see, nice pellet -like formation. 479 00:30:05,830 --> 00:30:09,450 Cool, so, I mean, you've got one of these as well, right? 480 00:30:09,690 --> 00:30:11,030 So if we compare it to that. 481 00:30:11,630 --> 00:30:13,690 That looks pretty textbook. Yeah, definitely looks too. 482 00:30:13,930 --> 00:30:18,650 Yeah. So there's a couple of tests that you can do just to kind of monitor his 483 00:30:18,650 --> 00:30:21,770 fecal consistency or his digestive state. 484 00:30:22,330 --> 00:30:27,570 pH of his feces is a good indication of the pH in his rumen or his hindgut. And 485 00:30:27,570 --> 00:30:32,930 that can be a kind of a canary in the mine if there's problems in terms of his 486 00:30:32,930 --> 00:30:35,650 acid balance in his rumen. 487 00:30:36,780 --> 00:30:40,060 but he's looking like he's sitting between a six and a seven which is what 488 00:30:40,060 --> 00:30:46,200 want yeah ideally for a really good um gut health we're looking for between 489 00:30:46,200 --> 00:30:51,090 of a six and a half to seven and a half This is obviously a color chart that you 490 00:30:51,090 --> 00:30:54,810 have to sort of visually pick the number. But this will give us a digital 491 00:30:54,810 --> 00:30:59,510 readout. And so it might be 6 .2 or 6 .3. And that means that you'll be able 492 00:30:59,510 --> 00:31:03,530 see it more incrementally change if something happens. A lot easier to score 493 00:31:03,530 --> 00:31:04,529 well. Yes. 494 00:31:04,530 --> 00:31:09,230 Though the initial signs are looking good, Michelle has not finished sticking 495 00:31:09,230 --> 00:31:11,250 her nose into a kundu's business. 496 00:31:11,730 --> 00:31:14,530 Just yet. Well, cool. Then you know what we're going to do? We're going to make 497 00:31:14,530 --> 00:31:17,550 a poo slurry because that's what we're going to need to do for the second part 498 00:31:17,550 --> 00:31:19,590 of our testing today. 499 00:31:20,190 --> 00:31:21,890 So, let's see. 500 00:31:22,950 --> 00:31:24,630 Maybe we've got about 100 grams there, right? 501 00:31:24,870 --> 00:31:30,170 Yeah. So if you just want to pour the water in. Okay. You say when. That's 502 00:31:30,750 --> 00:31:33,030 What I'm going to do is... 503 00:31:33,520 --> 00:31:34,580 Oh, it's very nice and firm. 504 00:31:34,940 --> 00:31:38,500 Also, we're going to be doing some fecal particle size testing, and that's where 505 00:31:38,500 --> 00:31:40,620 we're looking at the fiber size in his feces. 506 00:31:41,160 --> 00:31:44,820 That's an indication of his dental health, because they have to get through 507 00:31:44,820 --> 00:31:48,760 gatekeeper first, and that means they have to chew all of that fiber up to a 508 00:31:48,760 --> 00:31:52,520 reasonable size where it goes into their rumen and the microbes have a chance to 509 00:31:52,520 --> 00:31:53,520 work on it. 510 00:31:53,880 --> 00:31:57,660 We've got a special poo sieve here that we're going to use. Specially labeled 511 00:31:57,660 --> 00:32:00,540 poo. So what we're going to do here... 512 00:32:00,840 --> 00:32:04,800 is sift that through oh sorry watch your feet all right splash back and we're 513 00:32:04,800 --> 00:32:11,700 going to try and get as much of the fibers and see the fiber size and 514 00:32:11,700 --> 00:32:18,560 it's kind of that whole i don't remember i ate corn thing yes so that if it's 515 00:32:18,560 --> 00:32:22,140 coming through hole in the feces that means that they're probably not chewing 516 00:32:22,140 --> 00:32:25,920 that well right and you can kind of take the larger ones and say okay i'm going 517 00:32:25,920 --> 00:32:27,420 to measure how long that one is 518 00:32:28,170 --> 00:32:29,690 And that's about three centimeters. 519 00:32:30,030 --> 00:32:33,690 Exactly. And so if you go through and you see that there's some longer than 520 00:32:33,690 --> 00:32:36,690 that, for example, you want it to be quite consistent. 521 00:32:36,890 --> 00:32:40,250 But then he's likely an older animal with some dental problems already. 522 00:32:40,490 --> 00:32:43,710 And so we wouldn't expect it to be that consistent. 523 00:32:44,030 --> 00:32:48,410 But over time, that might change. You might see much larger fibers coming in 524 00:32:48,410 --> 00:32:51,210 well because he's still pretty good at processing it. Yeah. Awesome. 525 00:32:51,930 --> 00:32:55,990 That's really, really helpful. I'm sure that'll help our team out very, very 526 00:32:55,990 --> 00:32:56,990 much when we're monitoring. 527 00:32:58,459 --> 00:33:03,480 and as he ages, it'll definitely be a good management strategy to make sure 528 00:33:03,480 --> 00:33:05,920 nice and healthy, his teeth are in good condition and his guts are in good 529 00:33:05,920 --> 00:33:06,920 condition as well. 530 00:33:07,000 --> 00:33:12,340 Having Michelle and Angie come down to look at that gives us a good sign that 531 00:33:12,340 --> 00:33:17,080 know that we're doing our job really well and that Akundu is in great health 532 00:33:17,080 --> 00:33:19,420 it's something we can keep monitoring over time as he gets older. 533 00:33:20,420 --> 00:33:24,340 Spending your days digging into poo may not be everyone's cup of tea. 534 00:33:24,860 --> 00:33:28,540 But when you consider what can be learned from it, Paul wouldn't want to 535 00:33:28,540 --> 00:33:31,880 anywhere else. I get labelled the poo guy of Taronga. 536 00:33:37,940 --> 00:33:42,640 Taronga scientists are getting ready to serenade the zoo's regent honey eaters. 537 00:33:43,820 --> 00:33:47,700 One of the challenges with breeding regent honey eaters in the zoo 538 00:33:47,980 --> 00:33:52,840 we're really good at breeding them. Our keepers have bred them for over 20 years 539 00:33:52,840 --> 00:33:53,840 now and we've had... 540 00:33:54,190 --> 00:33:55,190 Huge success. 541 00:33:55,730 --> 00:34:00,690 But one of the things we've noticed is their song is different to the ones in 542 00:34:00,690 --> 00:34:01,690 the wild. 543 00:34:01,830 --> 00:34:06,190 So what we're trying to do is we're trying to teach the birds that are in 544 00:34:06,190 --> 00:34:11,050 zoo the song that they need to learn so they can get out and sing the right song 545 00:34:11,050 --> 00:34:12,009 in the wild. 546 00:34:12,010 --> 00:34:15,530 And to do this properly, they need to start them young. 547 00:34:15,989 --> 00:34:19,070 This is one of our breeding aviaries. This is the region honey eater. 548 00:34:19,570 --> 00:34:23,290 We've got breeding pairs on either side of us here. 549 00:34:23,850 --> 00:34:27,510 and then this aviary in the middle is what we call our crèche aviary and this 550 00:34:27,510 --> 00:34:30,250 where the young will go once they've left their parents. 551 00:34:30,510 --> 00:34:34,610 So what we're doing is we're putting these speakers into the aviary and we're 552 00:34:34,610 --> 00:34:39,010 going to play the songs of wild region honey eaters from these speakers and 553 00:34:39,010 --> 00:34:43,949 that's going to simulate there being a much bigger flock of birds here than 554 00:34:43,949 --> 00:34:47,370 there is and that's going to give those young birds the opportunity to learn how 555 00:34:47,370 --> 00:34:52,230 to sing the correct wild type song that we want them to sing when we release 556 00:34:52,230 --> 00:34:53,230 them. 557 00:34:54,540 --> 00:34:57,820 It's all feeding back to a central location. 558 00:34:58,520 --> 00:35:04,880 So we're loading some wild thongs onto the computer, collected from birds, 559 00:35:04,920 --> 00:35:10,100 primarily in the Blue Mountains, which is a mountain range on the western 560 00:35:10,100 --> 00:35:11,620 outskirts of Sydney. 561 00:35:11,820 --> 00:35:15,300 And that's one of the last strongholds of region honey -eater breeding 562 00:35:15,300 --> 00:35:16,300 territory. 563 00:35:16,620 --> 00:35:19,720 Yeah, that sounds great. Yeah, good. That's good. Yeah. 564 00:35:21,160 --> 00:35:23,480 With the playlist ready to rock... 565 00:35:23,770 --> 00:35:25,690 It's time to start the tweeting. 566 00:35:28,590 --> 00:35:34,030 We constructed a playback schedule that mimics the natural variation of song 567 00:35:34,030 --> 00:35:38,590 during the day because we don't want to just play one song over and over again. 568 00:35:38,630 --> 00:35:43,550 They'd start to ignore it. So instead, we play multiple songs from different 569 00:35:43,550 --> 00:35:48,550 individuals and we simulate the normal dawn chorus that you might see in Birds 570 00:35:48,550 --> 00:35:49,550 in the Wild. 571 00:35:49,560 --> 00:35:53,040 Then during the day, there might be a bit of a lull and then a bit of a peak 572 00:35:53,040 --> 00:35:54,040 again in the afternoon. 573 00:35:54,380 --> 00:35:57,520 And that just makes it as natural as possible. 574 00:35:58,600 --> 00:36:02,820 And like any good concert, there's the all -important sound check. 575 00:36:03,760 --> 00:36:08,360 And what we use that for is to be able to check how they've learnt and what 576 00:36:08,360 --> 00:36:10,220 their song sounds like as they get older. 577 00:36:10,540 --> 00:36:15,700 And when we look at the recordings, we can see that they get more and more like 578 00:36:15,700 --> 00:36:17,560 and closer to that wild song. 579 00:36:18,700 --> 00:36:21,760 The playback is having an impact and is being successful. 580 00:36:21,980 --> 00:36:25,180 It's become the core part of our breeding program. 581 00:36:26,780 --> 00:36:30,820 When we put them back in the wild, they can sing like all the other ones and 582 00:36:30,820 --> 00:36:34,000 hopefully find a mate and produce more region honey -eaters. 583 00:36:39,340 --> 00:36:45,360 Today, keeper Danielle is braving the rain and checking in on two of Taronga's 584 00:36:45,360 --> 00:36:46,360 newest residents. 585 00:36:47,230 --> 00:36:51,670 It is a really wet day, but even when it's wet, us keepers just do exactly 586 00:36:51,670 --> 00:36:52,669 we do on a sunny day. 587 00:36:52,670 --> 00:36:53,970 We just wear our gear. 588 00:36:55,870 --> 00:36:59,530 Here at Taronga, we've got two new binturong. They're really exciting, very 589 00:36:59,530 --> 00:37:02,630 young males. We haven't had young animals in a long time. 590 00:37:02,990 --> 00:37:07,990 Previously, we had an old male, Emmet, and he lived out his twilight years, and 591 00:37:07,990 --> 00:37:09,530 now we've got Rimbo and Kamiri. 592 00:37:10,150 --> 00:37:14,970 They're very agile, and they are the coolest animal in the whole entire zoo. 593 00:37:18,410 --> 00:37:22,950 The Binturong are incredibly unique. If you have a look at their face, they've 594 00:37:22,950 --> 00:37:28,570 been described as a face a bit like a cat, a body a little bit like a bear, so 595 00:37:28,570 --> 00:37:32,290 some people call them bear cats, and they've got that prehensile tail. 596 00:37:32,530 --> 00:37:37,350 And their prehensile tail is so muscular, they can hang upside down from 597 00:37:37,370 --> 00:37:38,370 even on the tip. 598 00:37:38,750 --> 00:37:45,550 Being this close to Khmeri, you can really smell him. He smells like 599 00:37:45,550 --> 00:37:47,510 really nice. 600 00:37:47,950 --> 00:37:48,950 smelling animal. 601 00:37:49,570 --> 00:37:53,610 Probably not the scent you'd expect from a carnivorous mammal. 602 00:37:54,490 --> 00:38:00,710 They can actually fold their feet in half, which enables them to climb on 603 00:38:00,710 --> 00:38:06,030 the thinnest wire. They can eat hanging upside down like a bat. They can twist 604 00:38:06,030 --> 00:38:09,430 their top half of their body and their lower half of their body in different 605 00:38:09,430 --> 00:38:12,890 directions, which means they can turn unique corners. 606 00:38:13,270 --> 00:38:17,430 But no matter which way they turn, they can't escape this rain. 607 00:38:17,950 --> 00:38:19,310 not that they want to. 608 00:38:19,610 --> 00:38:26,010 This exhibit is perfect for Bintra. It actually reflects their natural habitat 609 00:38:26,010 --> 00:38:32,470 of Southeast Asia, the rainforest environment, this huge fig tree, and 610 00:38:32,470 --> 00:38:37,990 go all the way to the very, very top, and they love to sun themselves up 611 00:38:38,390 --> 00:38:41,270 And they have a spectacular view of the harbour. 612 00:38:42,170 --> 00:38:47,680 Despite amazing views in every direction, there's only one direction 613 00:38:47,680 --> 00:38:48,680 will be looking. 614 00:38:49,540 --> 00:38:51,820 Benderong are my absolute favourite animal. 615 00:38:52,260 --> 00:38:56,220 They're very unique. Not many people actually see them, even though they're 616 00:38:56,220 --> 00:39:00,700 here. And I love pointing out, look up! Look how high they can climb! 617 00:39:00,960 --> 00:39:02,380 They smell like popcorn! 618 00:39:03,260 --> 00:39:04,460 They're so cute! 619 00:39:05,060 --> 00:39:08,640 They're just incredible animals, and working with them, you have to actually 620 00:39:08,640 --> 00:39:10,560 build their trust and build a rapport. 621 00:39:10,980 --> 00:39:14,140 They're very much creatures of habit. They like their routine. 622 00:39:15,790 --> 00:39:19,330 Just to have that relationship with them, worth everything. 623 00:39:22,550 --> 00:39:27,090 Next, it's a dirty job, but I guess someone's got to do it. 624 00:39:27,350 --> 00:39:30,210 Unfairly, I get labelled the poo guy of Taronga. 625 00:39:34,830 --> 00:39:38,970 As we've seen, Taronga Zoo does a lot with their animals' waste. 626 00:39:39,830 --> 00:39:43,130 But one member of staff gets so close to the poo. 627 00:39:43,720 --> 00:39:46,320 He's been given an unfortunate nickname. 628 00:39:48,060 --> 00:39:50,900 Unfairly, I get labelled the poo guy of Taronga. 629 00:39:51,540 --> 00:39:56,480 Go down to elephants one morning, watch them get the big shovels out and push 630 00:39:56,480 --> 00:40:00,880 that poo into those big bins. Watch the keepers rake the giraffe up, picking up 631 00:40:00,880 --> 00:40:01,880 their poo every day. 632 00:40:02,000 --> 00:40:06,120 But because I have to request the poo to come down for examination, I'm labelled 633 00:40:06,120 --> 00:40:07,120 the poo guy. 634 00:40:07,440 --> 00:40:10,740 But Paul has an extremely important job at the zoo. 635 00:40:11,230 --> 00:40:14,090 one that almost every department relies on. 636 00:40:14,610 --> 00:40:19,050 One of the main roles here at Taronga Wildlife Hospital Pathology Laboratory 637 00:40:19,050 --> 00:40:24,890 the receiving of tons, and I mean tons, of faecal samples every year. But 638 00:40:24,890 --> 00:40:31,150 essentially any animal in the zoo, birds, reptiles, amphibians, we will at 639 00:40:31,150 --> 00:40:33,430 get a faecal sample at least once every year. 640 00:40:33,630 --> 00:40:36,930 And there's lots of different reasons why we actually get the faecal samples 641 00:40:36,930 --> 00:40:38,010 submitted to the lab. 642 00:40:38,760 --> 00:40:42,100 But unfortunately, all the time, you know, we are looking for parasites. 643 00:40:42,880 --> 00:40:46,500 Sometimes they can be very microscopic, so we have to use the microscope to 644 00:40:46,500 --> 00:40:47,500 visualise them. 645 00:40:47,760 --> 00:40:52,100 In this case, these are two examples of some tapeworms. They're very fettuccine 646 00:40:52,100 --> 00:40:53,400 or spaghetti looking. 647 00:40:54,140 --> 00:40:57,580 You know, there are good parasites and there are bad parasites. The bad 648 00:40:57,580 --> 00:41:01,140 parasites are obviously the ones that are causing disease. Is the animal 649 00:41:01,140 --> 00:41:03,700 diarrhoea? Is it losing blood and things like that? 650 00:41:04,250 --> 00:41:07,770 But parasites actually have a health perspective in many, many different 651 00:41:07,770 --> 00:41:11,850 animals. Ruminant animals, for example, need parasites in their gut to help 652 00:41:11,850 --> 00:41:13,230 ferment the food that they're eating. 653 00:41:13,610 --> 00:41:17,730 Chimpanzees we know have a parasite called troglodytella, big word, but they 654 00:41:17,730 --> 00:41:20,310 need that to break down all that cellulose that they're eating. 655 00:41:22,730 --> 00:41:27,070 This is a reason why we need to monitor sort of the type of parasites that we're 656 00:41:27,070 --> 00:41:31,310 seeing. along with the quantity of parasites they were seeing, and giving 657 00:41:31,310 --> 00:41:35,010 vets that information to decide then whether they need to intervene or not. 658 00:41:35,310 --> 00:41:40,610 So whilst Paul knows he may occasionally be the butt of jokes, he also knows 659 00:41:40,610 --> 00:41:45,330 this is serious business and will always remain one of the most useful 660 00:41:45,330 --> 00:41:48,310 diagnostic tools the zoo have at their disposal. 661 00:41:48,950 --> 00:41:52,610 Pooh is incredible, you know, and people will go, they roll their eyes. 662 00:41:53,100 --> 00:41:56,840 Stinky, horrible stuff. We've all changed to nappy. We know what it's 663 00:41:56,840 --> 00:42:00,140 really, there's so much valuable information that we can get from 664 00:42:00,140 --> 00:42:04,360 species samples. So we use that information to help benefit future 665 00:42:04,360 --> 00:42:05,740 of animals in our care. 666 00:42:10,540 --> 00:42:12,280 And this is Kira. Hi, Kira. 667 00:42:13,080 --> 00:42:17,780 A day after helping train the security screening machine to detect smuggled 668 00:42:17,780 --> 00:42:23,660 wildlife... Phoebe is about to find out just how clever this technology has 669 00:42:23,660 --> 00:42:24,880 already become. 670 00:42:25,600 --> 00:42:28,140 This is the type of information that we saw yesterday. 671 00:42:28,340 --> 00:42:31,660 So then you'll notice as we go along we've got the images and these are the 672 00:42:31,660 --> 00:42:36,580 types of images that over time will enable us to detect these animals in the 673 00:42:36,580 --> 00:42:40,660 trafficking route. So this is the first starting point but in the future if we 674 00:42:40,660 --> 00:42:42,020 take a look at this next picture. 675 00:42:42,750 --> 00:42:48,230 And you'll notice that it has that bounding box around the lizard. And this 676 00:42:48,230 --> 00:42:51,690 the algorithm in play because this has shown that the algorithm has been able 677 00:42:51,690 --> 00:42:54,710 detect this, in fact, is a lizard. 678 00:42:55,010 --> 00:42:56,010 So clever! 679 00:42:56,270 --> 00:43:01,730 But this is just the beginning for this world -first collaboration to help stop 680 00:43:01,730 --> 00:43:02,830 animal trafficking. 681 00:43:03,530 --> 00:43:08,170 So in terms of other species as well, like birds and I know sugar gliders are 682 00:43:08,170 --> 00:43:09,590 exotic pet over in the States. 683 00:43:09,810 --> 00:43:14,050 Will the technology look for other species as well in the future? If we 684 00:43:14,050 --> 00:43:17,630 to, and that's what's exciting. So we're evolving, which is great. And so as we 685 00:43:17,630 --> 00:43:22,050 continue to evolve to collect more information on trafficking, but also to 686 00:43:22,050 --> 00:43:25,930 ahead of the traffickers, we can definitely include those in teaching our 687 00:43:25,930 --> 00:43:29,190 computers to look for sugar gliders and lizards, for example. 688 00:43:29,770 --> 00:43:33,150 There's no doubt staying ahead of the smugglers will be a challenge. 689 00:43:33,470 --> 00:43:38,530 But with people like Phoebe and Vanessa on the case, the future will hopefully 690 00:43:38,530 --> 00:43:43,450 look a little safer for Australia's amazing reptiles like Reggie. 691 00:43:43,750 --> 00:43:48,210 This will save thousands of shinglebacks smuggled out of Australia every year 692 00:43:48,210 --> 00:43:52,170 and the numbers of them are depleting in the wild. We might not have any left in 693 00:43:52,170 --> 00:43:56,810 50 years if this continues at this rate. But with this technology, we will keep 694 00:43:56,810 --> 00:43:58,830 these amazing creatures in our own backyard. 63645

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