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Autumn has well and truly arrived. Plenty of squirrels out and about, | :00:08. | :00:15. | |
gnawing and storing. And the raptors are calling and soaring. And my | :00:16. | :00:25. | |
foxes are pawing. We are here to celebrate the most colourful time of | :00:26. | :00:26. | |
year. Welcome to Autumnwatch. Hello and welcome to Autumnwatch | :00:27. | :00:55. | |
2017! It is our second evening from the National Trust Sherborne park | :00:56. | :00:59. | |
estate in Gloucestershire and we are alive and we have a mission to bring | :01:00. | :01:02. | |
you the very best of British wildlife at this time of year. | :01:03. | :01:07. | |
Without delay, hesitation, stopping to pay ?200, passing go, let's take | :01:08. | :01:12. | |
a look at our thermal camera which is out on the estate at the moment. | :01:13. | :01:16. | |
There is something there, what do you reckon? You can see here is. It | :01:17. | :01:26. | |
is a field mouse! British wildlife! We bring you a mouse. It is sweet. | :01:27. | :01:36. | |
Look! Very good. Very sweet. Moments ago, we were looking at this, as | :01:37. | :01:41. | |
ever, the wildlife let us down slightly, this is a deer, it looks | :01:42. | :01:48. | |
like a fallow deer. But it is behind the gate! Yes, it is, a fallow deer. | :01:49. | :01:56. | |
There she is. Yes. We will be coming back to those later in the | :01:57. | :02:01. | |
programme. OK. Last night, rather to our surprise, most of the action | :02:02. | :02:06. | |
took place down on the Sherborne brook. Let's go live to the brook. | :02:07. | :02:13. | |
There it is. Absolutely... Absolutely nothing! There should be | :02:14. | :02:20. | |
back there, don't worry but there was one! We just missed it. But lots | :02:21. | :02:24. | |
and lots has been going on down there. We filmed this just last | :02:25. | :02:31. | |
night. This was a real shock. An otter, I think the best one we have | :02:32. | :02:35. | |
seen since we came to Sherborne. They were very elusive in the | :02:36. | :02:40. | |
spring. They were. It was pouring its way over the bottom am looking | :02:41. | :02:45. | |
for fish. That fallen branches are kind of highway for mice and | :02:46. | :02:51. | |
rodents. The stars of the show! There was a bat and boom! The tawny | :02:52. | :02:56. | |
owl comes in and tries to nail the mouse. We think the mouse got away | :02:57. | :03:02. | |
but the tawny owl is getting its eye in. It goes off and it is keeping | :03:03. | :03:09. | |
watch on the log and boom, a rat! It manages to escape and swims away to | :03:10. | :03:13. | |
live another day. But the tawny owl is not finished. He has a sit down, | :03:14. | :03:18. | |
thinking, "I've got this nailed now, there are lots of things walking up | :03:19. | :03:22. | |
and down and I'm going to wait to ambush them again". Somewhere in the | :03:23. | :03:27. | |
background now, another rat, coming across. Will it come? LAUGHTER | :03:28. | :03:38. | |
Yes! And a rat got away again, it let go. Good effort, though. But | :03:39. | :03:44. | |
that really amazes me because it is really noisy down there, I was | :03:45. | :03:48. | |
there, there is a weir and everything but owls hunt would | :03:49. | :03:53. | |
sound? It's very noisy, it has got abusing its eyesight, seeing the | :03:54. | :03:56. | |
animals and recognising it is a highway, and it is that in the tree, | :03:57. | :04:00. | |
using its eyes but not it is. I'm surprised it is trying to take adult | :04:01. | :04:06. | |
rats, average weight, 230 grams, a tawny owl's average weight is about | :04:07. | :04:11. | |
470 grams, so it's of its own body weight and big rats can be up to | :04:12. | :04:14. | |
600. They are robust and have a fierce bite but as we know, the | :04:15. | :04:17. | |
tawny owl is a formidable predator. We saw them a couple of years ago | :04:18. | :04:21. | |
taking wood pigeons and magpies so adult rats, most owls and things | :04:22. | :04:24. | |
like kestrel and barn owls would not take on an adult like that but we | :04:25. | :04:30. | |
got. A big meal. Ricardo Fuller tawny owls! That was all in | :04:31. | :04:34. | |
black-and-white but at Waterwatch we are about colour, so let's see some | :04:35. | :04:42. | |
colourful animals in the river. That's beautiful! A brown trout, | :04:43. | :04:47. | |
youngster, all those gorgeous colours, red spots down its flanks. | :04:48. | :04:52. | |
How big do you think it is? You said yesterday they vary in size. A | :04:53. | :04:59. | |
couple of metres? How do you know that? About the size of a great | :05:00. | :05:05. | |
white! Will have do lower some rulers into the water. Isn't it a | :05:06. | :05:12. | |
beautiful fish? Lovely animals. Is or colour? Yes, please. Rustic | :05:13. | :05:17. | |
orange and electric blue, the Kingfisher, and depending on the | :05:18. | :05:20. | |
size of the drought we just saw, the Kingfisher could be fishing for that | :05:21. | :05:25. | |
very trout because they do gophers more drought. Minnows, sticklebacks. | :05:26. | :05:30. | |
Great to see it down. -- they do go for small crowd. Now you can sure | :05:31. | :05:35. | |
few ornithological knowledge, was it a male or female Kingfisher? I don't | :05:36. | :05:41. | |
know, I didn't see it close up, was it a male? It was a female, they | :05:42. | :05:45. | |
wear lipstick, the bottom of their bill is red. I was not paying | :05:46. | :05:50. | |
attention to the bill. You would know it otherwise! Some of the | :05:51. | :05:55. | |
wildlife we have at Sherborne and we are live here but not just here | :05:56. | :05:58. | |
because Gillian is in Bournemouth and we saw her yesterday and she was | :05:59. | :06:03. | |
in this fabulous garden where they have regular fox visitors. But she | :06:04. | :06:07. | |
is not just sitting back enjoying the spectacle. No, she is the boxes | :06:08. | :06:13. | |
to the test. Yes, I am in a suburb of Bournemouth | :06:14. | :06:17. | |
because this garden has become a for urban foxes. That is because the | :06:18. | :06:23. | |
owners have been feeding foxes for decades and they come here every | :06:24. | :06:28. | |
single night without fail. Let's get a really good look at this. They are | :06:29. | :06:35. | |
out here right now. I know they look really tame but these are wild | :06:36. | :06:41. | |
animals. If I reached to open the door, they would be off like a shot | :06:42. | :06:46. | |
and isn't that how it should be? Wild animals driving in amongst our | :06:47. | :06:50. | |
homes and Gardens. While we have been here, we have been treated to | :06:51. | :06:54. | |
this kind of sight a lot, seen about six individuals, and go in the last | :06:55. | :06:59. | |
few days but more recently, I was treated to a really close encounter. | :07:00. | :07:06. | |
For most of us, seeing foxes is a fleeting glimpse down the lane. But | :07:07. | :07:12. | |
check this out! This is what happens when you spend 16 years being really | :07:13. | :07:17. | |
dedicated and leaving food out for these animals, like Sandy has. We | :07:18. | :07:21. | |
have been watching them for the last few weeks. It is amazing how | :07:22. | :07:26. | |
different each individual is. This one is really bold. It comes right | :07:27. | :07:34. | |
up close. It is really quite used to seeing people in here and movement. | :07:35. | :07:39. | |
Often, the TV is on and there are people in here talking at the lights | :07:40. | :07:40. | |
are on and this is what it does. It is really, really amazing | :07:41. | :07:55. | |
opportunity to watch individual foxes learn about their | :07:56. | :07:57. | |
characteristics and what makes them so successful in our cities and | :07:58. | :08:04. | |
suburbs. Now that fox we saw there is the one | :08:05. | :08:09. | |
that the owners called Teardrop. We think he is a male, he is a | :08:10. | :08:13. | |
subadult, born this spring and he is one of the foxes that really engage | :08:14. | :08:17. | |
with a scientific experiment we set up with the help of Dr Dawn Scott at | :08:18. | :08:22. | |
the University of Brighton. What we set out to do was to test the | :08:23. | :08:25. | |
problem-solving skills, the intelligence of urban foxes. Here is | :08:26. | :08:33. | |
what we saw on last night's show. This is the single string | :08:34. | :08:38. | |
experiment. It is phase one of the experiment and that is a fox called | :08:39. | :08:42. | |
Blondie, who grabs hold of the cube, startled herself but then comes back | :08:43. | :08:49. | |
and grabbed the reward. The other one, Teardrop, here, with those dark | :08:50. | :08:56. | |
patches on its muzzle, and like Blondie, Teardrop pulled the string | :08:57. | :09:02. | |
and gets the reward. So this was just the first two Knights of the | :09:03. | :09:06. | |
experiment. Both foxes figured it out but Teardrop is the one that | :09:07. | :09:12. | |
really ran with it. Once Teardrop figured out the single | :09:13. | :09:18. | |
string experiment, he came back and each time we reset the experiment | :09:19. | :09:23. | |
and baited it again, he would come back and he really started to have | :09:24. | :09:28. | |
some fun with this and started pulling so he broke the Fox Box | :09:29. | :09:33. | |
experiment. There he is, getting his reward. This is clearly one clever | :09:34. | :09:41. | |
Fox. In just two Knights, he got the experiment right in six out of seven | :09:42. | :09:47. | |
attempts. So what happened when we decided to take it to the next | :09:48. | :09:56. | |
level? We moved from one string to a two string experiment, still with | :09:57. | :10:01. | |
just one roared, of course, -- one reward, a piece of chicken but given | :10:02. | :10:05. | |
the choice, would Teardrop pull on the right string? Let's see what | :10:06. | :10:13. | |
happens. Now, here we are. The food is on the bottom of the two strings. | :10:14. | :10:22. | |
And here comes Teardrop. But he goes for the first string he sees, Paul | :10:23. | :10:28. | |
that it and there is no food, no reward. He is confused. -- pulls it. | :10:29. | :10:35. | |
This is not how it has been. But he keeps looking. Second try, again, he | :10:36. | :10:42. | |
just goes to the first string he sees and again, same result, no | :10:43. | :10:48. | |
food. It was not until hours later that he finally went to the right | :10:49. | :10:54. | |
string and pulled his reward. And there he goes, snatching it out. | :10:55. | :11:00. | |
Now, clearly, Teardrop looks like he struggled with that and we did sort | :11:01. | :11:08. | |
of worry, and we outfoxed the Fox? Perhaps he just needed a bit more | :11:09. | :11:12. | |
time so that is what we gave him and we will find out what happened later | :11:13. | :11:15. | |
in the show. Back to you, Martin and Michaela. | :11:16. | :11:21. | |
I could watch that all night long. I'm thinking I'm going to go back | :11:22. | :11:25. | |
and test my foxes. We are on to the start of something, Fox Mastermind | :11:26. | :11:33. | |
Uk. You could make that. Probably not in Perspex but nothing else. | :11:34. | :11:39. | |
Would it be successful? I think so but it is a very smart box. We were | :11:40. | :11:43. | |
catching up on some of the bird that had not quite fledged when we left | :11:44. | :11:47. | |
in Springwatch, the barn owls and the kestrels and they'll | :11:48. | :11:50. | |
successfully fledged but what about the other raptors that we were | :11:51. | :11:54. | |
watching? The bothered and the kite? Let's take a look. We have a single | :11:55. | :11:58. | |
buzzard in the nest that was being very well cared for by its parents | :11:59. | :12:02. | |
and eating an enormous range of food. Here, it is enjoying an | :12:03. | :12:06. | |
earthworm. Well, it's got stuck around his head but it is serving | :12:07. | :12:09. | |
its purpose. The kites were fantastic, extraordinary views into | :12:10. | :12:13. | |
the nest of the individuals and by the time we left them, they were | :12:14. | :12:17. | |
branching, they had left the nest and were practising their wing | :12:18. | :12:21. | |
flapping. The naturalists at the National Trust continue to watch | :12:22. | :12:24. | |
them and I'm pleased that -- to say that the kites fledged soon | :12:25. | :12:27. | |
afterwards and the bothered as well. What happened to them? Within the -- | :12:28. | :12:33. | |
within about 70 days, the kites would have been independent, finding | :12:34. | :12:36. | |
food for themselves and at that stage, they can travel great | :12:37. | :12:42. | |
distances. One went 1020 kilometres to Iceland. When it comes to | :12:43. | :12:46. | |
breeding age, two or three, they come back and most of them come back | :12:47. | :12:50. | |
and read within 22 kilometres of where they were hatched, and similar | :12:51. | :12:54. | |
for the bothered. At the moment, the buzzard has probably drifted off a | :12:55. | :12:57. | |
long way but it will probably come back to breed within 12 kilometres | :12:58. | :13:01. | |
of the estate. It would be great to come back in three years and see | :13:02. | :13:05. | |
them nesting! That is how they should increase the numbers. Those | :13:06. | :13:12. | |
were the raptors at Sherborne but I have to say my favourite nest was at | :13:13. | :13:14. | |
Salisbury Cathedral, the peregrine nest. We had two adults that nested | :13:15. | :13:19. | |
at the top of Salisbury Cathedral and they had a chick but when it was | :13:20. | :13:24. | |
19 days old, a foster chick was introduced into the nest by the | :13:25. | :13:29. | |
RSPB. It was found often. It was amazing because it was very quickly | :13:30. | :13:34. | |
accepted by both parents who provided a range of food and both | :13:35. | :13:40. | |
chicks thrived. They were given names, after rivers, one was called | :13:41. | :13:50. | |
Dean Andy Frost one was called T20. This is the update. When we left | :13:51. | :13:54. | |
them, they were just a few weeks away from fledging. You can see | :13:55. | :13:59. | |
Wylie is the one in the front, full feathers and Dean is the one at the | :14:00. | :14:03. | |
back with a bit of down. After we left them, the cameras stayed on and | :14:04. | :14:07. | |
there was plenty of wing flapping and there was a view attempted | :14:08. | :14:12. | |
efforts at fledging. -- a few attempted. You can see that Wylie is | :14:13. | :14:16. | |
the one doing more of the flying but this is Dean, look at this, a | :14:17. | :14:20. | |
valiant effort, did not quite make it that time. As expected, Wylie was | :14:21. | :14:27. | |
the first at 46 days old, on the 28th of June. Followed a few days | :14:28. | :14:33. | |
later by Dean on the 2nd of July at 44 days old. Both of them stayed | :14:34. | :14:38. | |
around the cathedral, exactly what we would expect and both were still | :14:39. | :14:43. | |
being fed by the parents and that would go on for at least another | :14:44. | :14:48. | |
couple of months. It was a really heart-warming story and it is even | :14:49. | :14:50. | |
more heart-warming to know that both of them successfully fledged. We | :14:51. | :14:55. | |
were given fantastic privilege to views of them. It was amazing but | :14:56. | :15:00. | |
where are they now? Slightly different with peregrines than it is | :15:01. | :15:03. | |
with Stoke and foxes where the females stay and the males | :15:04. | :15:06. | |
disappear. With peregrines, as we noticed a couple of years ago, it is | :15:07. | :15:12. | |
the males that tend to stay, as we noticed in Bath a couple of years | :15:13. | :15:14. | |
ago. They were both males but whether they are still on territory, | :15:15. | :15:18. | |
we don't know, we have not had any reports of the coloured rings but we | :15:19. | :15:22. | |
know where the female is because she was the first-ever adult peregrine | :15:23. | :15:24. | |
fitted with a satellite tracking device in the UK and we put it on in | :15:25. | :15:29. | |
the summer. This is going to be great news, giving us new science | :15:30. | :15:32. | |
and better informing conservation but it means we also know exactly | :15:33. | :15:36. | |
where she goes. She was active in the summer here, Salisbury Cathedral | :15:37. | :15:41. | |
in the centre, quite a small range of about 36 square compass, not | :15:42. | :15:48. | |
travelling far to find food for youngsters but this is where she is | :15:49. | :15:53. | |
active now, a massive increase in range, up to 197 square kilometres, | :15:54. | :15:56. | |
all the way to Stonehenge at the top and covering a much broader area and | :15:57. | :16:02. | |
probably catching a much greater range of food with all the wildlife | :16:03. | :16:08. | |
and waders in the area at the moment. We will follow her | :16:09. | :16:10. | |
throughout the winter and bring you an update. Fantastic to get the | :16:11. | :16:16. | |
data, really interesting but what is even more fantastic, of all the | :16:17. | :16:21. | |
raptors that we had an Springwatch, kestrels, barn owls, buzzards, red | :16:22. | :16:25. | |
kite and peregrine falcons, all of them successfully fledged. That's | :16:26. | :16:30. | |
remarkable. We like a bit of good news! | :16:31. | :16:36. | |
Yesterday, we talked about how the changing climate brought rare birds | :16:37. | :16:41. | |
on to our shores to breed. It is not just birds, we have attracted some | :16:42. | :16:47. | |
stunning insects as well. It's the end of September, and in | :16:48. | :17:00. | |
London's Richmond Park, change is in the air. As verdant green gives way | :17:01. | :17:08. | |
to rustic red, and some residents are making their Mark in this | :17:09. | :17:09. | |
ancient royal park. But while a cacophony of noise and | :17:10. | :17:20. | |
announces the brash presence of ringnecked parakeets, strange scars | :17:21. | :17:29. | |
on Waterside branches are a far more subtle clue to a far more recent | :17:30. | :17:30. | |
coloniser. The Willow Emerald damselfly. Last | :17:31. | :17:51. | |
night's residue from the dew adds a jewel-like quality to her body. But | :17:52. | :17:58. | |
after drying off, a flick of this female's wings launches her into the | :17:59. | :17:59. | |
air. Resting nearby is another Willow | :18:00. | :18:17. | |
Emerald. At first glance, it's indistinguishable from the female. | :18:18. | :18:20. | |
But upon closer inspection, a pair of prominent pincer, gives the game | :18:21. | :18:31. | |
away. It is a male. There is no time to waste for either sex, for the | :18:32. | :18:36. | |
damselflies, the short days autumn are the time to breed. Like tiny | :18:37. | :18:42. | |
helicopters, the damselflies dance in the autumnal sun. Males vying for | :18:43. | :18:47. | |
a female, and the chance to reproduce. The sky is full of | :18:48. | :18:54. | |
courting couples. But to mate successfully, the male needs to get | :18:55. | :18:58. | |
a good grip. The female, held tightly around the | :18:59. | :19:04. | |
back of the head with the male's class was, brings her abdomen up to | :19:05. | :19:12. | |
mate with him. He mustn't let go. Other males won't hesitate to knock | :19:13. | :19:16. | |
him off. Like other damselflies, the pairs's | :19:17. | :19:27. | |
contorted bodies create a contorted ring. But unlike other species, the | :19:28. | :19:31. | |
Willow Emeralds won't lay their eggs in water. Instead, they choose a | :19:32. | :19:38. | |
more unusual and much drier location - the trees. | :19:39. | :19:49. | |
The female uses a specially designed over positive to pierce the bark, | :19:50. | :19:54. | |
Lei Li two! In a tiny hole below the surface. | :19:55. | :20:00. | |
Now that he knows this pairing has been a success, the male wastes no | :20:01. | :20:09. | |
time in heading off to search for another damsel. Leaving this female | :20:10. | :20:16. | |
to continue to carefully deposit the next generation. This egg laying | :20:17. | :20:23. | |
behaviour is unique in the damselfly world. | :20:24. | :20:31. | |
The eggs will over winter in the butt, insulated and away from most | :20:32. | :20:35. | |
predators, ensuring a high survival rate. Come spring, the eggs will | :20:36. | :20:42. | |
hatch, and the nymphs will drop directly into the water nursery | :20:43. | :20:47. | |
below. First recording in any numbers in | :20:48. | :20:55. | |
2009, these enchant in creatures and the tell-tale scars they leave are | :20:56. | :20:59. | |
likely to become an ever more familiar sight as the climate warms, | :21:00. | :21:06. | |
and our Summers stretch out. The dazzling dance of the damselflies is | :21:07. | :21:10. | |
an autumn spectacle that is here to stay. | :21:11. | :21:16. | |
They're absolutely enchanting. When you look at them in close up like | :21:17. | :21:23. | |
that, they are really beautiful. There are at least 56 different | :21:24. | :21:26. | |
species of dragonfly and damselfly in the UK. They are difficult to | :21:27. | :21:32. | |
tell apart. It is not easy to tell a damselfly from a dragonfly, so there | :21:33. | :21:36. | |
is a handy online guide that you can check out on the website. A good | :21:37. | :21:42. | |
news story with the damselflies come to the UK. But you will know there | :21:43. | :21:46. | |
is bad news in the insect world, a group of German entomologist | :21:47. | :21:51. | |
amateurs started measuring the biomass of large flying insects, the | :21:52. | :21:58. | |
biomass being their body weight. We can represent that, therefore, as | :21:59. | :22:04. | |
the baseline in their study. They continue to record this all the way | :22:05. | :22:10. | |
up until last year. This is what they found. There has been a decline | :22:11. | :22:15. | |
in large flying insect biomass in Germany of 75%. There are no studies | :22:16. | :22:23. | |
that have been conducted in the UK, which run in parallel to this, but | :22:24. | :22:27. | |
given that it is Germany and the man management is the same as in the UK, | :22:28. | :22:32. | |
we can imagine a similar situation is happening here. You may think | :22:33. | :22:36. | |
climate is responsible, changes in the climate, but critical analysis | :22:37. | :22:40. | |
of this data reveals climate is not to blame. It might be habitat | :22:41. | :22:45. | |
fragmentation, loss of habitat. That could be playing a role, but | :22:46. | :22:52. | |
whatever, this is justifiably being described as an ecological | :22:53. | :22:55. | |
catastrophe, with far-reaching consequences. If you lose all these | :22:56. | :23:00. | |
insects, it has a massive impact further up the food chain. We have | :23:01. | :23:05. | |
already seen that. Great partridges, for instance, we have monitored | :23:06. | :23:10. | |
these birds for some time. Between 1970 and 2014, they have enjoyed a | :23:11. | :23:15. | |
92% decline. Spotted flycatchers, a different sort of bird, but in that | :23:16. | :23:21. | |
period, again, they have declined by 86%. These are just a couple of | :23:22. | :23:27. | |
species dependent on these insects. Of course, everyone is grabbing for | :23:28. | :23:32. | |
a smoking gun, and one of the success suspect culprits are | :23:33. | :23:37. | |
in June this year, a particular group of pesticides was proven to | :23:38. | :23:45. | |
have harmful effects on both honeybees and wild bees. An entirely | :23:46. | :23:51. | |
separate, another controversial chemical, it has been shown to be | :23:52. | :23:55. | |
harmful to insects. One thing is click on what we need is more | :23:56. | :23:59. | |
rigorous, robust science to be conducted very, very quickly, so we | :24:00. | :24:04. | |
can understand this, and it can inform our decision-making. It | :24:05. | :24:09. | |
really very, very urgent. It's shocking news, isn't it. As you say, | :24:10. | :24:14. | |
we need more data. That takes time and a change of policy will also | :24:15. | :24:20. | |
take time. What can we do? There is something we can do and it is very | :24:21. | :24:25. | |
simple, it is this - plant wild flowers. In spring but, we talked | :24:26. | :24:30. | |
about plant pots for pollinators, and encouraging people to plant wild | :24:31. | :24:38. | |
flowers. If you managed to plant a wild flower meadow, even better. It | :24:39. | :24:43. | |
is so important to have flowers throughout the year. Autumn, it is | :24:44. | :24:48. | |
important to not over manicure them, then we'd stuff out. Ivy is | :24:49. | :24:56. | |
important, let it grow. It is vital as a late nectar source for | :24:57. | :25:01. | |
pollinators. Lots of information on our website about that. As you said, | :25:02. | :25:07. | |
it is a catastrophe, isn't it. An absolute catastrophe. Do you know, | :25:08. | :25:12. | |
Chris, I think humans, as a species, are good at reacting when we are in | :25:13. | :25:17. | |
complete and utter crisis mode. This is a crisis mode, so we need to | :25:18. | :25:21. | |
react. Let's move from despair to desire, Martin... | :25:22. | :25:27. | |
What sort of desire, Chris? Autumnwatch wouldn't be Autumnwatch | :25:28. | :25:27. | |
if we didn't have rotting dear. We have been lucky enough over the | :25:28. | :25:42. | |
years to record the deer at it. A most spectacular sight, red deer, | :25:43. | :25:46. | |
they are willing to offer all, to lose their lives for the chance to | :25:47. | :25:50. | |
mate with the female. Look at that. Here is a sika deer, it not natural, | :25:51. | :25:57. | |
from China, they have been in the wild for 160 years. And look at | :25:58. | :26:04. | |
this, the fallow, a beautiful deer, often in parks with those great big | :26:05. | :26:09. | |
antlers, trying to entice the females. | :26:10. | :26:14. | |
The thing is, when we have managed to fill those deer rutting, we have | :26:15. | :26:24. | |
done it in a park, not like here in Sherborne. They are fully wild deer. | :26:25. | :26:31. | |
They are here, but you have to look closely. If you come with me, let's | :26:32. | :26:35. | |
have a look. You can see, hear, it is what they call a browse line. | :26:36. | :26:41. | |
Deer have gone along here and nipped off bits of the hedge. You get a | :26:42. | :26:46. | |
gap, which is not obvious. Here is something I have found. Look at | :26:47. | :26:52. | |
that. That Bramble on the end has been nipped off by a deer. They love | :26:53. | :26:56. | |
a juicy bit of Bramble. You can see that at home if you go out into the | :26:57. | :27:01. | |
woods. We know for sure there are some deer here, but what types of | :27:02. | :27:07. | |
deer, what deer are here? I met up with the estate's deer | :27:08. | :27:12. | |
manager, Bill win. He has worked here for 23 years, and if anyone can | :27:13. | :27:14. | |
help us find the Amat, Bill can. We assume the position, and settle | :27:15. | :27:26. | |
down. Bill has gone off, because he knows the woods so well, he is | :27:27. | :27:30. | |
trying to gently push deer in my direction. I don't know if it's | :27:31. | :27:36. | |
going to work. But I've got to be really quiet, and sit absolutely | :27:37. | :27:37. | |
still. Bill, I did manage to film | :27:38. | :28:17. | |
something. I saw something belt across there. Back in the wood, I | :28:18. | :28:24. | |
saw another one over at nearly 100 acre field. Two! Plus, a fallow. | :28:25. | :28:36. | |
I've seen a Brown flash. That sums it up. Thanks very much indeed, | :28:37. | :28:42. | |
anyway. You are welcome. 6-0. You'll saw six, I saw none. | :28:43. | :28:48. | |
There are much more obvious signs of deer if you know where to look. Bill | :28:49. | :28:52. | |
took me to have a look. This looks like, to the uninitiated, | :28:53. | :29:01. | |
a muddy area, but there is more to it than that. This is a fallow but | :29:02. | :29:09. | |
scrape, made during the rut to Mark his territory, and to let all the | :29:10. | :29:14. | |
local females know he is around. And he will be your innate into it, he | :29:15. | :29:19. | |
will do all this fraying of the branches all around his scrape. I | :29:20. | :29:25. | |
can see down here, I suppose the size of the slot box. That of the | :29:26. | :29:33. | |
beast. That is quite deep. And there is a nice smell, a pungent smell. I | :29:34. | :29:42. | |
am afraid that is the smell of rutty but. He has glands on his head and | :29:43. | :29:47. | |
his feet. This is both for other bucks, that are intimidated by this. | :29:48. | :29:53. | |
But also saying he is a big and attractive guide to the females. | :29:54. | :30:01. | |
"Come and join me." That is it! Despite all of Bill Mac's help, I | :30:02. | :30:09. | |
didn't see a single deer. So I set the wild camera team a challenge, | :30:10. | :30:13. | |
could they go out in Sherborne and film the deer and tell us what | :30:14. | :30:19. | |
species are really here. This is a little much Jack, a | :30:20. | :30:25. | |
Marmite dear, some people don't like them. They are not a natural | :30:26. | :30:30. | |
speeches, they are invasive. But they are spreading across the | :30:31. | :30:34. | |
country. That is one. This is a roe deer, with that lovely white button | :30:35. | :30:41. | |
and the moustache you can see. Two species, and the next one is | :30:42. | :30:45. | |
fantastic, just what you might expect to see, really hard to see, | :30:46. | :30:50. | |
hidden in the woods, you can tell with the great antlers, this is a | :30:51. | :30:54. | |
fallow deer, a magnificent buck stopped I have never seen antlers as | :30:55. | :30:57. | |
big as that, they looked like polished walnut, absolutely | :30:58. | :31:01. | |
gorgeous. He is not just hanging about in the woods, there is a | :31:02. | :31:08. | |
female there as well. You can hear that belching call, here is the | :31:09. | :31:10. | |
female. Watch carefully. There it is. That is a fallow dear | :31:11. | :31:23. | |
meeting! Hats off to the camera team to mount -- for managing to film | :31:24. | :31:28. | |
that. Hand-macro mating is very quick, a single trust. Let's peer | :31:29. | :31:32. | |
into the darkness and see if we can see any deer with our live camera. | :31:33. | :31:39. | |
Oh, no! A moment ago, we saw this and there is a deer. It looks like a | :31:40. | :31:44. | |
fallow to me, they are surprisingly big, fallow deer, and they have an | :31:45. | :31:47. | |
astonishing ability for such a big animal to just melt into the | :31:48. | :31:53. | |
undergrowth, quite extraordinary. Lovely. Great to see. We have at | :31:54. | :31:57. | |
last seen a couple, there are three species here. Have you seen any deer | :31:58. | :32:04. | |
at all since we have been here? I have, Martin, Michaela and I saw | :32:05. | :32:08. | |
some driving in in the car this morning! Isn't it just the way, as | :32:09. | :32:12. | |
they say. Do you know what? It made us feel really good because we know | :32:13. | :32:16. | |
increasingly that nature can make us feel good. People have started going | :32:17. | :32:21. | |
out into the woods, and in days of yore, this would have been a hippie | :32:22. | :32:24. | |
action but now we think there is some good science behind it. One of | :32:25. | :32:28. | |
the things we know physiologically is that our eyes are especially | :32:29. | :32:33. | |
adapted to see well in the green and green yellow part of the spectrum. | :32:34. | :32:39. | |
We can see more colour in that part of the colour spectrum that is | :32:40. | :32:42. | |
visible to us than in any other part -- part which indicates we have been | :32:43. | :32:47. | |
involved to be in that environment, not the built environment which we | :32:48. | :32:51. | |
find so much more stressful. But we all know, Chris, I know if I feel | :32:52. | :32:55. | |
stressed during the day and I'm behind my laptop although, as soon | :32:56. | :32:59. | |
as I go and walk my dog, Rio, either in the mountain, which I love, or | :33:00. | :33:03. | |
the beach, I instantly feel better, the stress comes off your shoulders | :33:04. | :33:07. | |
and you are the same? Yes, I go out every morning with a scratch and it | :33:08. | :33:10. | |
undeniably makes me feel better. But this is not just about feeling, this | :33:11. | :33:15. | |
is not just a subjective thing any longer, scientists have investigated | :33:16. | :33:18. | |
this and they have seen that the saliva recall is, the measuring | :33:19. | :33:22. | |
stress, goes down and also our heart rate and blood pressure goes down | :33:23. | :33:25. | |
and the amount of natural killer cells in our body goes up, natural | :33:26. | :33:30. | |
killer cells are those which attack things like viral infections and | :33:31. | :33:34. | |
tumours. It is even thought that we imbibe and take in from the | :33:35. | :33:38. | |
atmosphere, the wooded atmosphere, certain chemicals that promote the | :33:39. | :33:40. | |
development of these cells in our body. Science is beginning to prove | :33:41. | :33:46. | |
that natural therapy definitely works. Look at you and I, we spend a | :33:47. | :33:52. | |
lot of time outdoors and we are completely rounded, grounded, | :33:53. | :33:56. | |
healthy individuals! It does not always work! On a serious note, | :33:57. | :34:00. | |
though, we know connecting with the outdoors can have a profound effect | :34:01. | :34:05. | |
on us. For lyrical poet Marchant Barron, who suffers from cerebral | :34:06. | :34:10. | |
palsy, connecting with wildlife and the outdoors gives him a voice. With | :34:11. | :34:15. | |
the help of his friends and support team and the staff at Westonbirt | :34:16. | :34:19. | |
Arboretum, he tells us in his own words how nature inspires him. | :34:20. | :34:26. | |
When I'm with trees, I feel they know me. | :34:27. | :34:31. | |
Just being with a tree sparks my poetry. | :34:32. | :34:40. | |
Their stillness ripens my words. Trees are my sanctuary. Take Army, | :34:41. | :35:00. | |
like a hand on my shoulder. -- they calm me. Whatever is happening in my | :35:01. | :35:09. | |
life, this sense of alwaysness comforts me. For him, poetry is his | :35:10. | :35:16. | |
voice, it is where you get a true insight into what he thinks and how | :35:17. | :35:21. | |
he sees the world. I think it is the piece that he finds in trees, the | :35:22. | :35:26. | |
quiet, just a place where he can get away from the world for a bit and | :35:27. | :35:32. | |
just really connect with nature. They seem to make him feel very calm | :35:33. | :35:37. | |
and still. They are almost listening to him and watching him. I have | :35:38. | :35:48. | |
always written poetry in my head. My dream was to have my words floating | :35:49. | :35:52. | |
in the autumn trees like a piece of art. When my poems are put within | :35:53. | :35:57. | |
the tree, there's a direct connection with that tree, a | :35:58. | :36:02. | |
conversation. In a book, this may be lost. The Arboretum is a library of | :36:03. | :36:09. | |
trees, holding people's fractured stories. When I saw the horse | :36:10. | :36:20. | |
chestnut, I fell in love. This old, playful tree has spread its roots | :36:21. | :36:26. | |
and looks as if it is wondering. It made me think, even when we are | :36:27. | :36:30. | |
tethered, we are free, which is true for us all. | :36:31. | :36:33. | |
We can be tethered, yet we are free in our minds. | :36:34. | :36:38. | |
The dipping of branches into and out of the earth creates adventitious | :36:39. | :36:45. | |
roots. It made me laugh to hear how this horse chestnut's roots were | :36:46. | :36:52. | |
indeed adventurers. I saw how this tree pushes on through the soil to | :36:53. | :36:54. | |
fill the earth with its joyful shape so this tree became tangled foot and | :36:55. | :36:59. | |
will always be an adventurer. The tethered wonder reaches out, as | :37:00. | :37:13. | |
muscled trunks stretch in the morning light. Entangled with | :37:14. | :37:22. | |
languorous limbs, a shadow spill. Sinew to hands got spiked, crusted | :37:23. | :37:34. | |
fruit. Blood burst. Polished leather strong and the grounds of Amber, an | :37:35. | :37:44. | |
bar, honeyed gold, a tumble full. -- Amber, always. Remember battles? The | :37:45. | :37:51. | |
miss then clip, click, split of conkers, playful. | :37:52. | :38:03. | |
This ring of six yews creates a shelter belt. EV sheltered and | :38:04. | :38:13. | |
enclosed in Evergreen. I wanted this poem to be about sanctuary and how | :38:14. | :38:20. | |
sanctuary is not always light. In darkness, we find the light. I | :38:21. | :38:26. | |
believe that the trees know our darkness. Dealing with darkness is | :38:27. | :38:36. | |
about being and waiting. Hallowed. Wait, don't rush through the | :38:37. | :38:45. | |
darkness. Watch the yews paint evergreen on this cloistered eclipse | :38:46. | :38:55. | |
of sky. Outside, seeds pirouette. Here, colours cool. Winds harsh | :38:56. | :39:05. | |
within the wooded henge. Gather your shadows in this route flock to | :39:06. | :39:13. | |
resting place. -- root-locked resting place. Leave them to pale in | :39:14. | :39:16. | |
the moonlight. Ahead, the path awakes with maples. | :39:17. | :39:26. | |
It makes me feel the most complete I can be. I know myself more. | :39:27. | :39:38. | |
But for me, this project is all about the trees and having people | :39:39. | :39:52. | |
Fantastic. Great to see Marchant Barron's ambition realised, with the | :39:53. | :40:14. | |
poetry at Westonbirt but you have to admire people who can take a broad | :40:15. | :40:18. | |
experience, personalise it, distil it and put it into some beautiful | :40:19. | :40:22. | |
form which is instantly communicable to everyone else. That is what | :40:23. | :40:27. | |
poetry is about and he mastered it, absolutely superb. Let's go back to | :40:28. | :40:30. | |
Bournemouth now to see how Gillian is getting on with her foxes. | :40:31. | :40:37. | |
Well, I'm feeling very close to nature as well because right now, we | :40:38. | :40:45. | |
have got our star, Teardrop, who has been feeding. We have been watching | :40:46. | :40:50. | |
it all this time feeding out there. He's just dashed off but it has just | :40:51. | :40:55. | |
been lovely to be able to observe, to watch all this behaviour. There | :40:56. | :40:59. | |
was a vixen in here. They had a little play, chasing each other | :41:00. | :41:02. | |
around and it is just wonderful but it is not just foxes that come to | :41:03. | :41:08. | |
this garden. A few days ago, I was treated to another encounter with a | :41:09. | :41:15. | |
more surprising urban resident. As if it was not enough to have | :41:16. | :41:19. | |
foxes in your garden, there's a badger that is just on the scene! I | :41:20. | :41:29. | |
can't believe how close it came. It is incredible to see them all | :41:30. | :41:34. | |
together like this. They are very tolerant of each other. Foxes and | :41:35. | :41:37. | |
badgers have a kind of unsteady truce. They are known to share the | :41:38. | :41:43. | |
same boroughs and they share a lot of traits they are both omnivores, | :41:44. | :41:47. | |
they are quite experimental with their food. So that means they are | :41:48. | :41:51. | |
both quite successful and take advantage of places like this. While | :41:52. | :41:57. | |
the foxes are very curious, they will investigate different parts of | :41:58. | :42:01. | |
the garden, the badgers have a set run and they know where the food is | :42:02. | :42:06. | |
and they make a beeline for it. And then they just settle in and chow | :42:07. | :42:11. | |
down. Foxes have been able to move into towns and cities and suburbs | :42:12. | :42:18. | |
but this is not usual. These badgers are here because a relic of woodland | :42:19. | :42:24. | |
just outside, at the back of this garden, and it means there is a | :42:25. | :42:28. | |
habitat for them to retreat to but because Sandy has put in years of | :42:29. | :42:34. | |
dedication and love feeding these animals, this is the sort of treat | :42:35. | :42:41. | |
that she has in her garden. What a treat it is. I really have to | :42:42. | :42:48. | |
say a massive thank you to Sandy and Bruce Haslam for letting us take | :42:49. | :42:51. | |
over their home and providing this place where we can see foxes and | :42:52. | :42:56. | |
badgers in the same place. It is not just a treat. It has actually been | :42:57. | :43:00. | |
really useful to see how these really different animals have | :43:01. | :43:05. | |
reacted to our Fox Box experiment and, well, the foxes took to it | :43:06. | :43:08. | |
pretty well but how did the badgers react? | :43:09. | :43:19. | |
Well, that is what the badger thought of the Fox Box experiment! | :43:20. | :43:27. | |
It is just as well, to be honest because badgers are like these | :43:28. | :43:30. | |
little bulldozers, little tanks and they would have just completely | :43:31. | :43:34. | |
destroyed the experiment. If you remember, we were trying to get to | :43:35. | :43:39. | |
see if Teardrop would get through phase two of the experiment. Just to | :43:40. | :43:45. | |
remind you, phase two was taking the experiment on from one string, onto | :43:46. | :43:49. | |
two springs but still with just one reward. -- two strings. Not sweet, a | :43:50. | :43:56. | |
piece of chicken, of course, but we were going to keep moving the reward | :43:57. | :44:00. | |
back and forth to make sure Teardrop did not start to favour one string | :44:01. | :44:05. | |
over the other. And if you remember, Teardrop really struggled with this. | :44:06. | :44:11. | |
So given a bit more time, let's see how he got on. | :44:12. | :44:19. | |
So you can see that the food is on the top but Teardrop goes to the | :44:20. | :44:22. | |
string that he found the food on the last time and pulls it back and gets | :44:23. | :44:28. | |
no reward. We reset and he comes back. This time, we see something | :44:29. | :44:36. | |
new. He pulls a little bit but then he stops and he looks, he really | :44:37. | :44:44. | |
looks and sniffs and it is like he is really trying to work out, he can | :44:45. | :44:48. | |
see the little morsel committees trying to work out where the food | :44:49. | :44:52. | |
is, he decides it is on the right-hand side and he gives it an | :44:53. | :44:57. | |
almighty tug and get the food. We keep resetting the experiment at | :44:58. | :45:00. | |
each time he tries, the more he does it, he gets better and better. And | :45:01. | :45:06. | |
again, he goes back and checks which one has it and pulls the string and | :45:07. | :45:16. | |
again, gets the reward. And it is worth it, he's got it. So this was | :45:17. | :45:22. | |
run over six nights and he just got better and better, to the point | :45:23. | :45:27. | |
where the last three nights, he got this right 100% of the time. Now by | :45:28. | :45:33. | |
all accounts, it looks like Teardrop was learning so we took this to Dawn | :45:34. | :45:41. | |
Scott and what was interesting was that she was not surprised at all | :45:42. | :45:45. | |
because dogs can do this and of course, foxes are closely related to | :45:46. | :45:50. | |
dogs. So we decided we had to up the ante again and we took the | :45:51. | :45:55. | |
experiment on to phase three which involved crossing the strings like | :45:56. | :46:08. | |
that. Leaving just one reward again. Would Teardrop figure out which | :46:09. | :46:10. | |
string connected to the reward and pull the right string? This is | :46:11. | :46:17. | |
something that dogs cannot do. So, Martin and Michaela, what do you | :46:18. | :46:21. | |
think? Is Teardrop smarter than the average dog? | :46:22. | :46:26. | |
Tricky. Definitely, yes. My dog could easily beat the fox. Mine | :46:27. | :46:38. | |
could definitely not. We will find out, anyway. Gillian will join us on | :46:39. | :46:41. | |
Thursday to give us the results of that final experiment. How amazing | :46:42. | :46:46. | |
is that garden gnome, but only do they have foxes, but badgers as | :46:47. | :46:51. | |
well. That is something Dawn Scott was interested in in the spring, | :46:52. | :46:57. | |
when she asked for your help with a scheme she was launching called | :46:58. | :47:01. | |
Spring tails. She wanted clips of interactions with different mammals | :47:02. | :47:06. | |
in the garden. What was the top mammal? Who beat who when it came to | :47:07. | :47:12. | |
food? Amazing, actually. 700 people sent in. Brilliant. It is brilliant. | :47:13. | :47:21. | |
Thank you to everyone that sent some in. 600 were analysed. Let's look at | :47:22. | :47:27. | |
some of them. This is from Chris down, this is cats and a fox. Keep | :47:28. | :47:32. | |
an eye on the cat in the foreground, and look to the right of them. It | :47:33. | :47:39. | |
was a fox. It came in and the cats saw that fox. I think that's quite | :47:40. | :47:44. | |
surprising. I think they are ganging up. They were. Ganging up in a cruel | :47:45. | :47:53. | |
manner. The next one is Badger versus hedgehog. He is a hedgehog | :47:54. | :48:00. | |
and a badger badgers are often accused of eating hedgehogs. But | :48:01. | :48:05. | |
hedgehogs are digging in! It is like a rugby scrum! I love that, that is | :48:06. | :48:09. | |
brilliant. Do you think the Badger got up and the hedgehog was stuck to | :48:10. | :48:14. | |
his side?! What about hedgehogs versus hedgehog | :48:15. | :48:19. | |
's? We had a lot of clips sent in with this. This particular clip | :48:20. | :48:24. | |
starts off slow, give it a chance, it was viewed by 5.5 million people | :48:25. | :48:37. | |
on Facebook. Doctor Dawn... He just face plants in the food! As well as | :48:38. | :48:41. | |
the common animals you might expect to find in a garden, some people | :48:42. | :48:49. | |
said in an usual clips. This is an otter. There is some food near the | :48:50. | :48:54. | |
middle. The fox comes creeping in behind. We'll be otter comeback was | :48:55. | :49:01. | |
not what will happen if it does? That fox is seen off! When the fox | :49:02. | :49:07. | |
is coming, will he hope that the otter has disappeared? Yes. The | :49:08. | :49:12. | |
otter has gone, or has he? No, he hasn't! He may be coming, but he is | :49:13. | :49:22. | |
a bit of a wuss. A lot of people would think the fox comes out on top | :49:23. | :49:26. | |
in these interactions, but it doesn't. Otters are tough animals | :49:27. | :49:30. | |
when you get up close to them. It is no surprise. Do you want the | :49:31. | :49:36. | |
results? Cats win over foxes. Badger holds the ground over cats. Badgers | :49:37. | :49:42. | |
eat foxes. Who is the top drum? Badgers. -- top trump. Thank you for | :49:43. | :49:50. | |
sending that in. We love it when you get involved. We are challenging you | :49:51. | :49:55. | |
further, because yesterday, we asked you to send in clips of clever | :49:56. | :50:00. | |
animals in your garden. Send those in and we will show them tomorrow. | :50:01. | :50:05. | |
We want things like brainy bats. That would be good. What else could | :50:06. | :50:10. | |
we have? Smart sparrowhawks. That type of stuff! But not dogs! | :50:11. | :50:18. | |
Watching animals is always exciting, whether they are tiny creatures or | :50:19. | :50:26. | |
enormous animals, Lucy Cooke went north... where is my map? Here. | :50:27. | :50:33. | |
Right up north, this is the Isle of Arran. She got into the sea here, | :50:34. | :50:38. | |
she saw one of the biggest animals of them all. | :50:39. | :50:41. | |
Each summer, the world's largest aggregation of basking sharks can be | :50:42. | :50:48. | |
seen off the Scottish coast, feeding on the plankton rich waters around | :50:49. | :50:53. | |
the inner Hebrides. During the autumn, they migrate southwards to | :50:54. | :51:01. | |
their wintering grounds, after reports that some may be stopping | :51:02. | :51:05. | |
here in the Firth of Clyde, a survey was carried out last autumn, proving | :51:06. | :51:10. | |
that a healthy number of sharks did visit last year. | :51:11. | :51:15. | |
One year on, I am joining a research expedition to find out if the Clyde | :51:16. | :51:20. | |
really is a migration hotspot for these ocean giants. Let's go! | :51:21. | :51:31. | |
This is our home for the day. We are packed to the gunwales with friendly | :51:32. | :51:36. | |
scientists and eager tourists. If there are any basking sharks out | :51:37. | :51:39. | |
there, I hope we will spot them because we have enough eyes | :51:40. | :51:42. | |
watching. These people have come from all over. There is someone from | :51:43. | :51:46. | |
Norway. We have had people from Australia, America and even Thailand | :51:47. | :51:52. | |
that have turned up. We have an incredible wildlife spectacle on our | :51:53. | :51:58. | |
doorstop. Head guide looks sadly is in charge of monitoring the sharks, | :51:59. | :52:01. | |
and he is building up a database of their movements. Last year, we saw | :52:02. | :52:08. | |
over 30 shots. We catalogued 26 individuals. Hell do you identify | :52:09. | :52:14. | |
them? We take a photograph of the basking shark. We look at the dorsal | :52:15. | :52:20. | |
fin of the shop. This is essentially what we are looking for. We are | :52:21. | :52:24. | |
looking for these. That is right, the basking shark dorsal fin can be | :52:25. | :52:29. | |
up to a metre high. You have a lot of information on this fin. If you | :52:30. | :52:33. | |
look at the surface, there is distinctive pigmentation. By | :52:34. | :52:40. | |
triangulating these together, we can get a positive ID. You get some | :52:41. | :52:45. | |
distinctively marked Finns. This one has a groove on the apex, hence the | :52:46. | :52:49. | |
name, Group E. I have never seen a basking shark, | :52:50. | :52:58. | |
and I would dearly love to see one today, what do you think our chances | :52:59. | :53:04. | |
are? Our chances are reasonable. We are in the right place at the right | :53:05. | :53:08. | |
time of year, it is a case of the plankton abundance being enough to | :53:09. | :53:13. | |
fee. So we should stop talking and get back to it? Yeah. All right. | :53:14. | :53:22. | |
A good indicator of the presence of sharks is the presence of shark | :53:23. | :53:29. | |
food. We have got different status of pots, mainly smaller ones. At the | :53:30. | :53:35. | |
range of under a millimetre to if you bigger ones, which are 2-3 | :53:36. | :53:40. | |
millimetres. These are the ones the sharks are after. They are tiny | :53:41. | :53:49. | |
blobs of fat, high energy. If you consume enough, you can fuel | :53:50. | :53:52. | |
something as large as a basking shark. Exactly. | :53:53. | :53:57. | |
Yeah. Frustratingly, even with plankton in the area, the sharks | :53:58. | :54:02. | |
continue to interviewed us. But that they are here at all is a minor | :54:03. | :54:05. | |
miracle. For centuries, these beautiful animals were hunted, and | :54:06. | :54:10. | |
the last basking shark was killed in the UK in 1994, right here in the | :54:11. | :54:15. | |
Firth of Clyde. A hunting ban has been in place ever since. If we can | :54:16. | :54:19. | |
prove the sharks are coming back year on year, it will show how | :54:20. | :54:23. | |
effective that ban has been. We have been scanning the water for | :54:24. | :54:28. | |
about five hours. I have to say I am starting to lose hope. But now the | :54:29. | :54:33. | |
wind is coming up, and all of these waves looked like they could be | :54:34. | :54:36. | |
Finns. The thing about basking sharks is they have been | :54:37. | :54:40. | |
inappropriately named, because it implies they lounge around on the | :54:41. | :54:46. | |
surface, but they only spend 10% of the time on the surface. The rest is | :54:47. | :54:52. | |
spent much deeper, and is why they are so mysterious. I have a feeling | :54:53. | :54:56. | |
their mysteries are going to hold for another day for me. | :54:57. | :55:05. | |
Unfortunately, my hunch was spot on. After eight hours on the water, we | :55:06. | :55:10. | |
headed back to shore for a debrief. The area we travelled through today | :55:11. | :55:16. | |
are places where you have seen basking sharks before, why do you | :55:17. | :55:21. | |
think... the guys have been working hard to work on the plankton data. | :55:22. | :55:28. | |
Last year, we had over 6000 per cubic metre squared. Tomorrow is | :55:29. | :55:38. | |
another day and we will be back on the water looking again, looking for | :55:39. | :55:44. | |
Finns on the surface. It's still early days for this | :55:45. | :55:48. | |
research project, and because the basking sharks are just passing | :55:49. | :55:51. | |
through, they only have a really short window to gather data. So, | :55:52. | :55:58. | |
it's easy to understand, really, how these massive animals have managed | :55:59. | :56:03. | |
to remain so mysterious for so many years. Arles admit, I really wish | :56:04. | :56:09. | |
I'd got to see one. But it's always good to have an excuse to come back. | :56:10. | :56:15. | |
Have you ever seen one, Chris? I have come off the Isle of Man. I | :56:16. | :56:24. | |
have, too. I swam with them. I spent some time out by tracing, and I | :56:25. | :56:28. | |
spent a lot of time this year by a cafe where they do lovely green tea. | :56:29. | :56:32. | |
You won't see a basking shark in a cafe. You can look over the water | :56:33. | :56:38. | |
and see the Finns. Did you see one? Know, like Lucy. Why didn't Lucy C | :56:39. | :56:43. | |
one there? It is probably because of the stormy weather. What happens is | :56:44. | :56:47. | |
the plankton, they need it at the surface, the basking sharks. With | :56:48. | :56:53. | |
the stormy weather, they spread over a larger area, or they can be lower. | :56:54. | :56:58. | |
If it is 20 metres down, basking sharks are there, but you will never | :56:59. | :57:03. | |
see them. Whilst we are on the marine environment, if you watched | :57:04. | :57:06. | |
last night, we launched an initiative called sea bird watch. We | :57:07. | :57:12. | |
wanted you to have us count sea birds from photographs put up. I am | :57:13. | :57:21. | |
pleased to say, by 6p and today, 26,994 images have been processed. | :57:22. | :57:32. | |
No less than 236 had been done by one individual. Top work! You are | :57:33. | :57:37. | |
doing well, but you need to do better. The fate of these sorts of | :57:38. | :57:47. | |
birds, they are adorable. Steady... They are impressive. Impressive | :57:48. | :57:54. | |
looking at this. This is just a star. The review was of stargazing | :57:55. | :58:00. | |
live did better armour currently, than the viewers of Autumnwatch. | :58:01. | :58:04. | |
Please, rise to the challenge. Analyse more pictures and help these | :58:05. | :58:09. | |
very adorable, adorable sea birds, and you will find the details on the | :58:10. | :58:21. | |
website. Get your kids to do it. It is half term. It is a good thing to | :58:22. | :58:26. | |
do, get them doing that. That is all we have time for. What have we got | :58:27. | :58:31. | |
coming up tomorrow? Jullien swap 's canines for incisors, she leaves the | :58:32. | :58:35. | |
foxes to go to Cornwall to look at Beevers. | :58:36. | :58:38. | |
And we plunge into the depths of a puddle to find a creature that has | :58:39. | :58:41. | |
been hanging around there since the time of the dinosaurs. | :58:42. | :58:48. | |
Chris and I are going head to head, top gun for us. We may not be | :58:49. | :58:52. | |
allowed to say that. We will find out the top bird, goose or Swan, | :58:53. | :58:56. | |
tomorrow. Really looking forward to that. We hope you have enjoyed the | :58:57. | :59:01. | |
show. We are back tomorrow night, 8pm, BBC Two. See you then. Goodbye! | :59:02. | :59:04. |