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This land of ours, its mountains and valleys, fields and forests, | :00:29. | :00:34. | |
a place to live, a place to work, a place to enjoy. | :00:35. | :00:39. | |
Our landscape teaches us things as well. | :00:40. | :00:44. | |
All around us, there's a vast repository of knowledge | :00:45. | :00:47. | |
and every day brings surprising new discoveries. | :00:48. | :00:55. | |
science and our landscape have gone hand-in-hand. | :00:56. | :01:01. | |
In this edition of Countryfile, we'll be looking at how | :01:02. | :01:04. | |
our landscape has shaped science, and how science has shaped our landscape. | :01:05. | :01:09. | |
And where better than this, Wytham Woods in Oxfordshire. | :01:10. | :01:12. | |
It's probably the most studied stretch of woodland | :01:13. | :01:15. | |
anywhere in the world, and I'll be catching up with scientists | :01:16. | :01:19. | |
who have turned Wytham Woods into a living laboratory. | :01:20. | :01:24. | |
And we'll be looking back at some of the best science | :01:25. | :01:28. | |
Like the time Matt got into a tight spot, | :01:29. | :01:32. | |
beloved of an 18th century naturalist. | :01:33. | :01:36. | |
And he believed the more confined your sphere of observation, | :01:37. | :01:40. | |
the more perfect would be your remarks. | :01:41. | :01:48. | |
Or when Julia discovered the ancient life hidden in rocks. | :01:49. | :01:53. | |
This is the one we found this morning on the beach. | :01:54. | :01:55. | |
JULIA GASPS Look at that! | :01:56. | :01:59. | |
There's your ammonite. That is lovely! | :02:00. | :02:01. | |
And what happened when Adam came face-to-face | :02:02. | :02:05. | |
When you think of pig farming, you just think of, you know, | :02:06. | :02:10. | |
smelly pigs and perhaps sausages and bacon, | :02:11. | :02:13. | |
but this technology is just extraordinary. | :02:14. | :02:26. | |
Wytham Woods are owned by Oxford University. | :02:27. | :02:30. | |
There have been experiments going on here for 70 years. | :02:31. | :02:35. | |
The woods themselves sit just a few miles west of the city of Oxford. | :02:36. | :02:43. | |
It was in these woods that a scientist called Charles Elton | :02:44. | :02:47. | |
made some of his most important discoveries. | :02:48. | :02:50. | |
He had a lifelong passion for national history, and his work | :02:51. | :02:54. | |
here in the 1940s and '50s put the science of ecology on the map. | :02:55. | :02:58. | |
Today, people like Clive Hambler are following in his footsteps, | :02:59. | :03:03. | |
often with nothing more high-tech than water and a nozzle. | :03:04. | :03:07. | |
What I'm trying to do is see if I can find any spiders' webs, | :03:08. | :03:10. | |
and the easiest way to do it is often to make them stand out | :03:11. | :03:13. | |
Why are you looking for the spiders and their webs? | :03:14. | :03:18. | |
Because it turns out that these dead plant stems are often teeming | :03:19. | :03:22. | |
with life, and this is one of Charles Elton's great insights. | :03:23. | :03:25. | |
That the dead material is more important than living material | :03:26. | :03:29. | |
So many people think that animals depend very much on green plants, | :03:30. | :03:36. | |
but in fact, they often depend on them when they're dead. | :03:37. | :03:39. | |
Back in the 1940s, these ideas were revolutionary. | :03:40. | :03:43. | |
They sealed Elton's reputation as the foremost ecologist of his day. | :03:44. | :03:48. | |
His was a different way of looking at the world, which is still | :03:49. | :03:52. | |
Wildlife often depends on having a very large amount of surface | :03:53. | :03:58. | |
to live on, and it needs a damp environment to live in, | :03:59. | :04:01. | |
so a physically complex thing like a tree, a conifer tree, | :04:02. | :04:04. | |
provides a home for lots of wildlife. | :04:05. | :04:08. | |
And so conifers are actually amongst our best habitats for many | :04:09. | :04:11. | |
types of animal. A lot of people don't particularly like conifers. | :04:12. | :04:15. | |
We have plantations of them which get chopped down | :04:16. | :04:18. | |
and people don't want to put any more in their place. Absolutely. | :04:19. | :04:21. | |
But, if you look at the habitats in Britain that have the most | :04:22. | :04:25. | |
animals and most species per square metre, | :04:26. | :04:27. | |
it's conifer woodland, not oak woodland. | :04:28. | :04:30. | |
So, this is the kind of inheritance of Elton, | :04:31. | :04:33. | |
to make people think again about... That's right. | :04:34. | :04:36. | |
..about what are often dismissed as, you know, unnecessary things | :04:37. | :04:41. | |
I mean, he started to look at the world from a very general | :04:42. | :04:45. | |
ecological point of view, so he looked at these structures, | :04:46. | :04:48. | |
he looked at the temperature and the rainfall | :04:49. | :04:50. | |
and the moisture in the air, and he realised that all those things | :04:51. | :04:54. | |
come together, and an animal has its niche, | :04:55. | :04:56. | |
which is how it fits into the ecosystem. | :04:57. | :04:59. | |
And one of Elton's great insights was really understanding | :05:00. | :05:02. | |
what a niche was, and defining what a niche was. | :05:03. | :05:10. | |
Charles Elton continued his work in Wytham Woods | :05:11. | :05:14. | |
His ideas set the tone for scientific study of the environment, | :05:15. | :05:20. | |
and brought about a revolution in thinking about our landscape. | :05:21. | :05:26. | |
Just as, over a century earlier, there had been another huge shift | :05:27. | :05:30. | |
in scientific thinking. But that wasn't down to academia. | :05:31. | :05:34. | |
It was down to an ordinary girl with an extraordinary passion, | :05:35. | :05:38. | |
as Julia found out when she went to Dorset. | :05:39. | :05:42. | |
is one of the best places in the world to find fossils. | :05:43. | :05:56. | |
These cliffs were created by layers of sediment, | :05:57. | :06:07. | |
deposited 150 to 200 million years ago, | :06:08. | :06:09. | |
trapping dead sea creatures and preserving them as fossils. | :06:10. | :06:13. | |
Anyone's allowed to pick up fossils from the beach, but it's easier with | :06:14. | :06:18. | |
a guide, like fossil hunter Paddy Howe from the Lyme Regis Museum. | :06:19. | :06:21. | |
So, what are we looking for along here? | :06:22. | :06:23. | |
I'm looking for stones that might have | :06:24. | :06:25. | |
almost sharp like that, or they're flat. | :06:26. | :06:33. | |
They're not rounded, like most pebbles. | :06:34. | :06:36. | |
Expertly done! Well, there is a small one inside. | :06:37. | :06:46. | |
I was hoping for something better than that. Right. | :06:47. | :06:50. | |
But, er... Are going to throw this back to the ocean? | :06:51. | :06:53. | |
I'll leave that one, and we'll see if we can find some more. | :06:54. | :06:55. | |
What kind of a fossil hunter are you?! | :06:56. | :07:07. | |
'Mmm, maybe it's not so easy after all. | :07:08. | :07:12. | |
'180 million years of history in an instant.' | :07:13. | :07:25. | |
I'm quite happy with that. Some of these will be quite nice. | :07:26. | :07:28. | |
That one's going to be quite nice there. This one, this one. | :07:29. | :07:31. | |
And these ones, we can potentially clean up. | :07:32. | :07:33. | |
So you could clean those up and make them brighter and...? | :07:34. | :07:36. | |
Yeah, absolutely. More attractive? I reckon, yeah. | :07:37. | :07:45. | |
While Paddy polishes up my fossils, I'm going back 200 years, | :07:46. | :07:48. | |
to when Lyme Regis earned its nickname, Fossil Town. | :07:49. | :07:51. | |
Indiana Jones in a bonnet - Mary Anning. | :07:52. | :07:56. | |
collecting fossils to sell to wealthy summer visitors. | :07:57. | :08:02. | |
In 1811, Mary's brother spotted a skull protruding out of a cliff, | :08:03. | :08:06. | |
and over the following months, Mary proceeded to dig out | :08:07. | :08:10. | |
an almost entire skeleton of an ancient crocodile creature. | :08:11. | :08:13. | |
Mary sold it for ?23 - about ?1,000 in today's money. | :08:14. | :08:19. | |
There is a replica in the Lyme Regis Museum. | :08:20. | :08:23. | |
The creature was eventually named an ichthyosaur, | :08:24. | :08:27. | |
and this is what it would have looked like | :08:28. | :08:29. | |
200 million years ago, swimming in Lyme Bay. | :08:30. | :08:35. | |
'Tom Sharpe from Cardiff Museum is a Mary Anning fan.' | :08:36. | :08:41. | |
Do you think she has genuinely influenced | :08:42. | :08:43. | |
fossil hunters today and geologists today? | :08:44. | :08:46. | |
Oh, very much so. I mean, she was a great tourist attraction | :08:47. | :08:49. | |
People came to Lyme Regis to go fossil hunting with Mary Anning. | :08:50. | :08:53. | |
there are fossil shops here in Lyme Regis, and there are collectors | :08:54. | :08:58. | |
here, carrying on the tradition of Mary Anning. | :08:59. | :09:01. | |
She made some significant discoveries | :09:02. | :09:03. | |
she really transformed our view of life in the Jurassic sea, | :09:04. | :09:09. | |
She was finding some remarkable creatures, which no-one had | :09:10. | :09:14. | |
ever seen before, and finding complete examples as well. | :09:15. | :09:17. | |
And she was finding these things at just the right time, | :09:18. | :09:20. | |
when geology was becoming established as a science. | :09:21. | :09:23. | |
So, she was certainly born at the right time, but she was a woman - | :09:24. | :09:26. | |
was she born the right sex? No, she wasn't, really. | :09:27. | :09:29. | |
And she wasn't the right class either. | :09:30. | :09:31. | |
We forget, really, how strongly stratified - | :09:32. | :09:34. | |
almost as well stratified as the rocks are round here - | :09:35. | :09:37. | |
There was no opportunity for her to move up the social scale. | :09:38. | :09:41. | |
She'd probably be one of the world's leading palaeontologists | :09:42. | :09:44. | |
She found the first long-necked plesiosaur | :09:45. | :09:53. | |
and a flying dinosaur, the pterodactyl. | :09:54. | :09:57. | |
In 1830, renowned geologist Henry De la Beche imagined the seas | :09:58. | :10:01. | |
and skies populated by Mary's creatures. | :10:02. | :10:05. | |
She became so well known, her work is said to have inspired | :10:06. | :10:09. | |
"She sells seashells on the seashore". | :10:10. | :10:13. | |
My fossil may not be up to Mary's standard, | :10:14. | :10:16. | |
but I'm hoping that Paddy's been able to clean it up. | :10:17. | :10:20. | |
It's the big moment. Show me what you've got. | :10:21. | :10:22. | |
This is the one we found this morning on the beach. | :10:23. | :10:24. | |
JULIA GASPS Look at that! There's your ammonite. | :10:25. | :10:29. | |
A fossil graveyard made up of hundreds of squid-like creatures | :10:30. | :10:40. | |
that lived in shells. Sadly, it's slowly disintegrating. | :10:41. | :10:45. | |
Richard Edmonds from the Jurassic Coast team | :10:46. | :10:47. | |
Over the last few years, I've noticed there's been some really | :10:48. | :10:54. | |
weird movements down here, ledges pushing and graunching and breaking. | :10:55. | :10:58. | |
We really don't know at the moment. It's a bit of a mystery, | :10:59. | :11:02. | |
but we're not seeing it anywhere else along the Jurassic Coast. | :11:03. | :11:05. | |
And is it something that we should be worried about? | :11:06. | :11:07. | |
No, I mean, this coast is a product of erosion. | :11:08. | :11:11. | |
If it wasn't eroding and changing, it wouldn't be the place it is. | :11:12. | :11:14. | |
We may lose quite a lot of this ammonite pavement, | :11:15. | :11:16. | |
but then, some more of it will appear somewhere else, | :11:17. | :11:19. | |
and we've just got to live with that fact. | :11:20. | :11:21. | |
And that's where Richard's team have gone high-tech, | :11:22. | :11:33. | |
and called in Greg Colley with his helicopter camera. | :11:34. | :11:37. | |
We got some funding from Natural England to fly this | :11:38. | :11:39. | |
helicopter with a camera at really high resolution to make | :11:40. | :11:42. | |
a photomontage, you know, a baseline survey, | :11:43. | :11:45. | |
so that I can come back and actually see what's actually happening, | :11:46. | :11:48. | |
how this beach is changing through time. | :11:49. | :11:58. | |
Whatever the photo survey reveals, Richard's team know | :11:59. | :12:02. | |
they can't save the ammonite pavement from the march of nature. | :12:03. | :12:06. | |
However, every new storm and every landslide exposes fresh wonders | :12:07. | :12:10. | |
and brings the chance of another exciting discovery. | :12:11. | :12:13. | |
is Oxford University's very own living laboratory. | :12:14. | :12:36. | |
A vast outdoor classroom, where ecologists are conducting | :12:37. | :12:40. | |
some of the most important grassland experiments in the world. | :12:41. | :12:47. | |
It may not look much like a laboratory, | :12:48. | :12:49. | |
is leading the way in new thinking about rare habitats. | :12:50. | :12:56. | |
That often means starting with the creepy crawlies. | :12:57. | :13:00. | |
That looks to me, Clive, very much like mincemeat. | :13:01. | :13:06. | |
That's right, and it's going to mimic a piece of carrion, | :13:07. | :13:08. | |
and we're going to see how fast it's removed over the next few days. | :13:09. | :13:15. | |
And what do you suspect is going to take that away? | :13:16. | :13:17. | |
At this time of year, it's often snails and slugs. And there's | :13:18. | :13:20. | |
one I set earlier, where you'll be able to see that that has happened. | :13:21. | :13:24. | |
So this has been here a couple of days, | :13:25. | :13:26. | |
and some of it has already been removed, so there's a little | :13:27. | :13:29. | |
black slug there, and there is a little tiny snail there. | :13:30. | :13:32. | |
It's showing us that, in the scrubland, | :13:33. | :13:36. | |
Whereas, if you put this on grassland nearby, | :13:37. | :13:39. | |
That tells you that to get the most carrion removal, | :13:40. | :13:43. | |
but if you wanted the most pollination, | :13:44. | :13:46. | |
You'd go for lots of flowers in the area. | :13:47. | :13:49. | |
So you can't have everything in one site in conservation. | :13:50. | :13:52. | |
It's a trade-off between different processes, different services. | :13:53. | :14:01. | |
they're looking for past evidence of plants - | :14:02. | :14:05. | |
seeds locked in the soil for decades. | :14:06. | :14:09. | |
just from my soil cores around this site. | :14:10. | :14:17. | |
And that list reads like a Who's Who of classic British wild flowers. | :14:18. | :14:21. | |
Plants like the bittersweet nightshade, | :14:22. | :14:24. | |
and it's normally a representative of more ancient grasslands, or more | :14:25. | :14:40. | |
established grasslands, so we're seeing a real range of types here. | :14:41. | :14:46. | |
Knowing what's there in the soil will help Chris and his team | :14:47. | :14:50. | |
work out how best to manage this trial site. | :14:51. | :14:53. | |
Back in the 18th century, it was a clergyman called Gilbert White | :14:54. | :15:02. | |
who first really looked closely at nature, | :15:03. | :15:06. | |
as Matt found out when he went to visit White's hometown, | :15:07. | :15:08. | |
which flourished into an obsession of observing all living things. | :15:09. | :15:20. | |
Putting pen to paper, he wrote about what he saw. | :15:21. | :15:23. | |
His letters were published as a book, | :15:24. | :15:26. | |
'It is said to be the fourth most published book in the English | :15:27. | :15:33. | |
'language, and it revolutionised the way we look at the natural world. | :15:34. | :15:37. | |
'To find out how, I'm meeting Ronnie Davidson-Houston. | :15:38. | :15:40. | |
'He's been studying Gilbert's life and work since he was ten, | :15:41. | :15:44. | |
'and I'm getting the impression he's a pretty big fan.' | :15:45. | :15:48. | |
I found this book, which was just so beautifully written, | :15:49. | :15:51. | |
so readable, and really appealed to me, and has done ever since. | :15:52. | :15:56. | |
And have you collected all of his works since? Well, I'm still trying. | :15:57. | :15:59. | |
I've got about 1,000 copies, which are now in the museum here. | :16:00. | :16:04. | |
He was a very, very special man, wasn't he? Absolutely. | :16:05. | :16:07. | |
I mean, he's what we call the first ecologist. | :16:08. | :16:10. | |
I mean, he took the whole of nature, including man, in his writing, | :16:11. | :16:15. | |
and he was the person who first started everybody bird-watching. | :16:16. | :16:20. | |
And, of course, he inspired Darwin, among others. | :16:21. | :16:25. | |
Gilbert's love of nature began in the garden | :16:26. | :16:28. | |
of his country home - today, a museum. | :16:29. | :16:30. | |
His passion flourished, and I'm meeting deputy head gardener, | :16:31. | :16:34. | |
Rose Mallion, who's recreating Gilbert's garden | :16:35. | :16:37. | |
Yes, we're planting out our bulb border | :16:38. | :16:47. | |
in accordance with the record Gilbert kept for us | :16:48. | :16:49. | |
and the place in which he planted them. | :16:50. | :16:54. | |
So, shall we pop up there? Yes, let's go up and have a go. | :16:55. | :16:58. | |
OK. So, what you need to do is get the bulb | :16:59. | :17:01. | |
about three times its own depth into the soil, | :17:02. | :17:03. | |
And what else would he have been planting, Rose? | :17:04. | :17:09. | |
He would have been planting double hyacinths, jonquils and tulips. | :17:10. | :17:13. | |
That's what Gilbert called, "the rank clay that required | :17:14. | :17:16. | |
"the labour of years to render it useful"! | :17:17. | :17:18. | |
He's got a lovely turn of phrase, hasn't he? | :17:19. | :17:21. | |
He's got a lovely turn of phrase, yeah! | :17:22. | :17:23. | |
And how did it expand from this border, then, | :17:24. | :17:25. | |
He called himself an outdoor naturalist, and because he was | :17:26. | :17:29. | |
outside, he was able to observe patterns and behaviour, | :17:30. | :17:32. | |
the changes in the season. All those things, | :17:33. | :17:35. | |
because he was out gardening, he noticed. | :17:36. | :17:39. | |
Gilbert's passion for observing wildlife was born. | :17:40. | :17:41. | |
It soon turned into an obsession that would | :17:42. | :17:43. | |
Whilst out in the garden, watching the seasons change | :17:44. | :17:48. | |
and nature at work, he would come and sit in a chair | :17:49. | :17:51. | |
just like this one up here, up on this little mound. | :17:52. | :17:54. | |
Oh! Well, from here, he would soak up his natural | :17:55. | :18:05. | |
surroundings like a sponge, and he believed the more confined | :18:06. | :18:10. | |
your sphere of observation, the more perfect would be your remarks. | :18:11. | :18:18. | |
And this was his sphere - the countryside around his home. | :18:19. | :18:24. | |
His observations were recorded in a series of letters, | :18:25. | :18:27. | |
bound into his book - The Natural History Of Selborne. | :18:28. | :18:31. | |
The 18th-century manuscript is held in the museum, | :18:32. | :18:33. | |
and I've been given special permission to have a look. | :18:34. | :18:37. | |
In his letters, Gilbert was describing things | :18:38. | :18:39. | |
that had never been written down before. | :18:40. | :18:42. | |
Like this, the first ever description of a harvest mouse. | :18:43. | :18:45. | |
"They're much smaller and more slender, | :18:46. | :18:48. | |
"and have more of the squirrel or dormouse colour." | :18:49. | :18:53. | |
Gilbert's peers were describing new species as well. | :18:54. | :18:56. | |
But there was something that Gilbert was alone in doing. | :18:57. | :18:59. | |
He was questioning how animals lived and behaved. | :19:00. | :19:02. | |
Listen to what he said about the nest of a harvest mouse. | :19:03. | :19:05. | |
"Perfectly round, about the size of a cricket ball. | :19:06. | :19:08. | |
"It was so compact and well-filled, how could the dam..." | :19:09. | :19:12. | |
"..come at her young and administer a teat to each?" | :19:13. | :19:17. | |
You can hear the excitement in his words. | :19:18. | :19:21. | |
By writing down his observations and questions, | :19:22. | :19:24. | |
the study of animals in their environment. | :19:25. | :19:29. | |
His words would go on to inspire generations for centuries to come. | :19:30. | :19:34. | |
Gilbert continued his writing up until a few days before he died. | :19:35. | :19:38. | |
And in his last letter, in the manuscript, | :19:39. | :19:41. | |
"I shall here take a respectful leave from you | :19:42. | :19:45. | |
"and from natural history altogether." | :19:46. | :19:59. | |
Charles Elton understood the value of close observation. | :20:00. | :20:05. | |
Earlier, we heard how he was amongst the very first to realise | :20:06. | :20:09. | |
the importance of deadwood to living things. | :20:10. | :20:12. | |
But how do you work out just how much deadwood there is? | :20:13. | :20:19. | |
Well, this is not what I expected to find, Keith! | :20:20. | :20:21. | |
You laying out this huge tape measure in the wood! | :20:22. | :20:24. | |
Well, it's one of the best ways of estimating | :20:25. | :20:26. | |
the amount of deadwood that there is, and deadwood is a really | :20:27. | :20:29. | |
important resource for the invertebrates and fungi | :20:30. | :20:32. | |
and all sorts of things that live here. | :20:33. | :20:34. | |
So, how does it work, then, with this tape measure? | :20:35. | :20:37. | |
and we simply then count the number of pieces of deadwood | :20:38. | :20:43. | |
just count the number of times they cross. | :20:44. | :20:49. | |
That one doesn't cross, so that doesn't count. Those are too small. | :20:50. | :20:55. | |
So, what is all this telling you, then? | :20:56. | :20:59. | |
Well, by some fancy mathematics, you can calculate | :21:00. | :21:03. | |
an estimate of the length of deadwood per hectare. | :21:04. | :21:08. | |
And also, if you've got your rough diameters, | :21:09. | :21:11. | |
just how much deadwood there is in the whole of this wood. | :21:12. | :21:18. | |
We get an estimate of around 40 to 50 cubic metres | :21:19. | :21:23. | |
if we look at that big, old oak tree behind us, | :21:24. | :21:31. | |
that's probably two or three cubic metres, | :21:32. | :21:34. | |
so we're talking about 20 big, old oaks lying down per hectare. | :21:35. | :21:39. | |
And was Elton the first to realise this? | :21:40. | :21:42. | |
He's really one of the pioneers in this sort of work, yes. | :21:43. | :21:46. | |
And, in fact, in his notebooks, in which he kept a sort of diary | :21:47. | :21:50. | |
and in the entry actually for the 9th of November, 1955, | :21:51. | :22:00. | |
we see he says, "Leave all labelled trees unexploited," | :22:01. | :22:03. | |
so these were the ones that he marked. | :22:04. | :22:07. | |
"As far as possible, do this with any other unmarked deadwood." | :22:08. | :22:14. | |
So, Elton's message was, really, leave things where they lay? | :22:15. | :22:17. | |
He was one of the first to really promote that message in a big way. | :22:18. | :22:25. | |
Elton's ideas are now well established, but scientists | :22:26. | :22:29. | |
like Keith are finding out new things from their work at Wytham Woods. | :22:30. | :22:33. | |
Some of the successors to Elton set up a series of plots through | :22:34. | :22:37. | |
the wood, and we've now been coming back to those every ten years, | :22:38. | :22:41. | |
and by combining that with data from Continental studies | :22:42. | :22:45. | |
and North American studies, it's been shown that what the tree | :22:46. | :22:49. | |
canopy here is doing is moderating the effects of climate change, | :22:50. | :22:54. | |
so that the species in the ground flora are not | :22:55. | :22:56. | |
changing as fast as we thought they would be. | :22:57. | :23:00. | |
So, creatures that live out in the open are probably | :23:01. | :23:04. | |
feeling the effects more of climate change than creatures that | :23:05. | :23:08. | |
But we've got to put a caveat there, that obviously, | :23:09. | :23:13. | |
this sheltering effect only applies while the tree canopy is there. | :23:14. | :23:22. | |
Well, I'm glad of this tree canopy in this rain! | :23:23. | :23:25. | |
Coping with climate change is one of the biggest challenges ahead. | :23:26. | :23:32. | |
How will we grow our food in a warming world, | :23:33. | :23:35. | |
That's what Tom went to find out last May. | :23:36. | :23:46. | |
Population is rising, and our climate is changing. | :23:47. | :23:51. | |
We are reaching a critical point where food production will | :23:52. | :23:56. | |
The challenge is so great, that crop science alone may not be enough. | :23:57. | :24:07. | |
That, of course, is nothing new to farming. | :24:08. | :24:13. | |
We used to do most things by hand, like grinding this wheat here, | :24:14. | :24:18. | |
and I can tell you, it is pretty hard work. | :24:19. | :24:22. | |
But then came the agricultural revolution. | :24:23. | :24:25. | |
That meant we could use our new-found engineering expertise | :24:26. | :24:31. | |
to produce machines to help us do the work. | :24:32. | :24:33. | |
but with far less labour and much greater quantities, | :24:34. | :24:39. | |
and that meant we could feed our growing societies and huge cities. | :24:40. | :24:45. | |
Back then, British farming technology was leading the world. | :24:46. | :24:48. | |
a danger the world is overtaking Britain. | :24:49. | :24:57. | |
They're now developing driverless tractors in Germany, | :24:58. | :25:00. | |
are steaming ahead in the race for robotics. | :25:01. | :25:13. | |
So, is Britain keeping up with the pace? | :25:14. | :25:16. | |
Well, these guys in here certainly think so. | :25:17. | :25:22. | |
Harper Adams in Shropshire is one of the only universities in the | :25:23. | :25:26. | |
country dealing with agricultural engineering and robotics. | :25:27. | :25:30. | |
Students here are developing a new generation of farm machinery. | :25:31. | :25:34. | |
This is a quarter scale model of a selective lettuce-harvesting robot. | :25:35. | :25:39. | |
This is Nigel, the farm robot of the future. | :25:40. | :25:42. | |
One day, he'll be able to do everything that one of these | :25:43. | :25:45. | |
big tractors will do, but all on his own. | :25:46. | :25:48. | |
This is mark two of our mechanised harvester, | :25:49. | :25:51. | |
and it's designed to be able to tell the difference between plants | :25:52. | :25:54. | |
which are ready to harvest, without the need for humans. | :25:55. | :25:57. | |
# Harder, better faster, stronger. # | :25:58. | :26:04. | |
These smart machines will make significant savings, | :26:05. | :26:08. | |
and will revolutionise how we treat our plants in the fields. | :26:09. | :26:13. | |
'Professor Simon Blackmore is the course leader | :26:14. | :26:16. | |
'for these engineers of our farming future.' | :26:17. | :26:19. | |
And smart machines isn't just about getting rid of people, is it? | :26:20. | :26:22. | |
You know, making farmers and farm workers redundant? | :26:23. | :26:25. | |
No. We still need farmers, we still need people working the land, | :26:26. | :26:29. | |
but I do see the advent of small, smart machines | :26:30. | :26:33. | |
running around the fields do useful things for us. | :26:34. | :26:35. | |
The student projects are certainly promising, | :26:36. | :26:41. | |
but what about British commercial developments? | :26:42. | :26:44. | |
Rich Walker has created a highly sophisticated gadget that | :26:45. | :26:48. | |
It's truly mesmerising, but really, what is it? | :26:49. | :26:56. | |
We use these all over the world with academics | :26:57. | :27:02. | |
who are trying to understand how humans manipulate objects, | :27:03. | :27:04. | |
so they can make machines that can do those kind of tasks. | :27:05. | :27:09. | |
to be relevant to agriculture and farming. | :27:10. | :27:12. | |
Because we've been looking at how humans do complicated tasks like... | :27:13. | :27:16. | |
Well, I grab that, I twist that, I pull there. | :27:17. | :27:20. | |
And if we can get this robot hand to do those kind of tasks, | :27:21. | :27:23. | |
then we should be able to build machines | :27:24. | :27:25. | |
that can go into fields and orchards and pick fruit and vegetables. | :27:26. | :27:27. | |
And you think this is really something practical | :27:28. | :27:30. | |
for the future of farming, not just a bit of fun for guys like you? | :27:31. | :27:32. | |
It's definitely a bit of fun for guys like us, | :27:33. | :27:35. | |
because we see that in 5, 10, 15 years, these kind of technologies | :27:36. | :27:40. | |
could well have translated out into real applications. Really? | :27:41. | :27:43. | |
Well, in our field, we didn't see the milking robot come, | :27:44. | :27:46. | |
and that's been a huge, huge success in farming. | :27:47. | :27:48. | |
So it's entirely possible that these could get out of the lab | :27:49. | :27:51. | |
Two things are for certain - our population is going up, | :27:52. | :27:57. | |
We are now faced with an opportunity to meet those challenges head-on. | :27:58. | :28:11. | |
JOHN CRAVEN: Tom there, showing how science and technology are already | :28:12. | :28:14. | |
getting to grips with the problems facing our farmers. | :28:15. | :28:17. | |
But can Hollywood give our farmers a helping hand? | :28:18. | :28:21. | |
I've got four different breeds of pig on the farm. | :28:22. | :28:36. | |
and then I've got a pig called an Iron Age, | :28:37. | :28:42. | |
which looks a little bit like a wild boar. | :28:43. | :28:44. | |
The Tamworth, which is big, ginger pig. | :28:45. | :28:48. | |
And then the Gloucestershire Old Spot. | :28:49. | :28:51. | |
And pigs, just like all other farm animals, | :28:52. | :28:52. | |
It doesn't matter whether they're large or small. | :28:53. | :28:57. | |
And they can get an infection in their foot. | :28:58. | :29:00. | |
This area, where they've got two toes, | :29:01. | :29:03. | |
that then needs treating with antibiotics. | :29:04. | :29:06. | |
And also, they can have slightly twisted legs, | :29:07. | :29:11. | |
and that can cause lameness too. It can be a bit of a problem. | :29:12. | :29:14. | |
It's something that farmers have to manage. | :29:15. | :29:17. | |
There you go. Go and get some breakfast. | :29:18. | :29:22. | |
There are more than 400,000 sows in this country | :29:23. | :29:26. | |
and it's thought that about 5% of them are lame. | :29:27. | :29:30. | |
From quite an unusual source. Hollywood. | :29:31. | :29:42. | |
How can blockbuster movies like Avatar, The Matrix, | :29:43. | :29:46. | |
and Lord of the Rings, help a lame pig? | :29:47. | :29:48. | |
I am off to Newcastle University to find out. | :29:49. | :29:56. | |
'The first thing researcher and vet Sophia Stavrakis. | :29:57. | :30:00. | |
'and I have to do is attach some reflectors to a 'pig. | :30:01. | :30:04. | |
I've been working with pegs all my life, | :30:05. | :30:07. | |
and I have never had to put reflective stickers on them before. | :30:08. | :30:14. | |
Sofia, this looks pretty high-tech. What is going on here? | :30:15. | :30:17. | |
I'm using this highly specialised camera system here, | :30:18. | :30:20. | |
in order to prevent lameness in pig production. | :30:21. | :30:24. | |
And basically what we are doing is using 3-D motion capture technology | :30:25. | :30:29. | |
to measure movement, to measure gait in pigs. | :30:30. | :30:32. | |
And gait is the way it walks, it steps, really. Exactly. | :30:33. | :30:36. | |
And that 3-D movement technology is the sort of stuff you would see | :30:37. | :30:40. | |
There are actual Hollywood movies that have been based | :30:41. | :30:44. | |
on animation obtained from such camera systems. | :30:45. | :30:47. | |
They emit infrared light which is reflected by markers on the pig. | :30:48. | :30:54. | |
So, those little dots on the pig are reflecting back to the cameras? | :30:55. | :30:58. | |
They are reflecting back to the cameras. OK. | :30:59. | :31:00. | |
So shall we go and have a look at how it looks like, shall we see? | :31:01. | :31:03. | |
Yeah. Here we see the actual capture of the pig with the markers on. | :31:04. | :31:07. | |
So the marker s moving through the space. Amazing. | :31:08. | :31:10. | |
and you can see the shape of the pig walking across. | :31:11. | :31:15. | |
And so, this is much more than the human eye could detect. Yes. | :31:16. | :31:19. | |
We are filming at a much greater frame rate and this enables us | :31:20. | :31:22. | |
to see more than the human eye would be able to perceive. | :31:23. | :31:26. | |
So, as a pig farmer, when you are picking your females | :31:27. | :31:29. | |
from a herd that you might want to breed from, you can | :31:30. | :31:32. | |
potentially set up a camera, walk the piglets through, | :31:33. | :31:36. | |
and say, look, those ones have got certain angles in the joints | :31:37. | :31:40. | |
which may cause them to be lame in the future, | :31:41. | :31:42. | |
then you won't breed from it, and therefore, genetically, | :31:43. | :31:46. | |
you improve the ability of the pigs to move around. Exactly. | :31:47. | :31:50. | |
So that would enable you to better select for breeding schemes. | :31:51. | :31:53. | |
It is very important for the pig industry. | :31:54. | :31:56. | |
When you think of pig farming, you just think of, you know, | :31:57. | :31:59. | |
smelly pigs, and perhaps sausages and bacon. | :32:00. | :32:02. | |
But this technology is just extraordinary. Yes, isn't it? | :32:03. | :32:05. | |
but Sophia hopes to create a computer model of a healthy pig | :32:06. | :32:14. | |
to use as a reference point to spot potential lameness in pigs. | :32:15. | :32:24. | |
I am not sure this piglet will ever make the dizzy heights | :32:25. | :32:27. | |
of Hollywood, but it is great that farming is embracing | :32:28. | :32:31. | |
new technologies and developments all the time. | :32:32. | :32:34. | |
And even as a small-scale pig farmer, | :32:35. | :32:36. | |
I am warmed by the fact that the industry is in good hands. | :32:37. | :32:40. | |
You want to go back to your mum? PIGLET SQUEALS | :32:41. | :32:50. | |
In Wytham Woods where strange things are going on. | :32:51. | :32:55. | |
High-tech gadgets whir into action. Data is gathered. | :32:56. | :32:59. | |
This is one of the most important experiments happening in these woods. | :33:00. | :33:06. | |
Rather intriguing, Emma. What is happening? | :33:07. | :33:10. | |
So, we are measuring CO2 coming out of the soil. Why are you doing that? | :33:11. | :33:13. | |
why carbon is released as CO2 from the soil. | :33:14. | :33:18. | |
And sometimes it a lot more is released than at other times. | :33:19. | :33:22. | |
And we don't really understand why it happens in the first place. | :33:23. | :33:28. | |
There is more carbon dioxide locked in the soils of forest floors | :33:29. | :33:33. | |
And scientists have noticed that extra release of carbon dioxide | :33:34. | :33:40. | |
Could the answer lies in the amount of leaf litter? | :33:41. | :33:46. | |
Emma's experiment is one of the first to try and find out what is going on. | :33:47. | :33:56. | |
These chambers are measuring the CO2 coming out from the soil. | :33:57. | :34:00. | |
Quite a dramatic rise, isn't it? Yes, there is a lot of CO2 coming out. | :34:01. | :34:04. | |
So if you think atmospheric concentration is | :34:05. | :34:07. | |
somewhere around 390 parts per million, that would be down here. | :34:08. | :34:11. | |
And we are already up over 400 parts per million. | :34:12. | :34:16. | |
This reading is above the current levels in the atmosphere. | :34:17. | :34:21. | |
Add some decaying leaves, and the rise in CO2 is higher still. | :34:22. | :34:31. | |
You can see that the CO2 concentration is rising | :34:32. | :34:33. | |
because we have CO2 coming from the soil below ground, | :34:34. | :34:37. | |
but also the CO2 coming from the litter. | :34:38. | :34:40. | |
So what you are saying is that the leaves that have fallen | :34:41. | :34:43. | |
on the ground are somehow activating the CO2 that is underground? | :34:44. | :34:46. | |
Yes, when you get a sudden pulse of extra dead plant material, | :34:47. | :34:50. | |
like, now, it is autumn, there is a lot of leaf litter returning | :34:51. | :34:53. | |
to the ground, that will stimulate something happening in the soil. | :34:54. | :34:57. | |
And that seems to stimulate something in the soil, | :34:58. | :35:02. | |
So it is a sort of double whammy of CO2 being released? Yes, yeah. | :35:03. | :35:07. | |
Emma's research will last for four years. | :35:08. | :35:17. | |
Hopefully her work will provide some answers to what is causing | :35:18. | :35:22. | |
the release of so much carbon from our forest floors. | :35:23. | :35:31. | |
And that is the job of science. To ask questions and look for answers. | :35:32. | :35:37. | |
Even unusual ones, as Jules found out when he went to Scotland to ask, | :35:38. | :35:42. | |
I'm travelling to a remote part of Highland Perthshire, where at the | :35:43. | :35:52. | |
end of the 18th-century, during the age of Enlightenment and exploration, | :35:53. | :35:56. | |
with an ambitious scheme to weigh the world. | :35:57. | :36:03. | |
Now, measuring the weight of the world is not your everyday | :36:04. | :36:07. | |
sort of experiment, so we're going to find out how they did it, | :36:08. | :36:10. | |
and why they came to a remote corner of Scotland to make it happen. | :36:11. | :36:14. | |
But before we start, I have got a nice little journey on my hands. | :36:15. | :36:20. | |
I am taking a ride on the West Highland Railway. | :36:21. | :36:23. | |
It takes in some of the most rugged and iconic landscape in Scotland. | :36:24. | :36:28. | |
Look at the deer. That is a real picture of Scottish life, isn't it? | :36:29. | :36:34. | |
You know, even on a misty morning such as this, | :36:35. | :36:38. | |
the landscape here is absolutely stunning. | :36:39. | :36:42. | |
But I am not here to soak up the scenery. | :36:43. | :36:49. | |
I am here to find out about one of the most influential | :36:50. | :36:51. | |
230 years ago a team of British scientists, | :36:52. | :36:59. | |
headed by the Astronomer Royal, Nevil Maskelyne, | :37:00. | :37:03. | |
trudged across a landscape such as this for days, | :37:04. | :37:05. | |
To get a sense of what this must have been like, | :37:06. | :37:11. | |
The key to measuring the weight of the Earth | :37:12. | :37:16. | |
Maskelyne and his team had spent over a year of scouring | :37:17. | :37:22. | |
the British Isles for just the right spot. | :37:23. | :37:25. | |
And here, in central Scotland, they found it. | :37:26. | :37:28. | |
That mountain, shrouded in cloud. Schiehallion. | :37:29. | :37:35. | |
To find out why this particular mountain held the key | :37:36. | :37:40. | |
I am meeting up with Dr Martin Hendry from Glasgow University. | :37:41. | :37:45. | |
Hi, Martin. Nice to see you. Nice to see you. | :37:46. | :37:47. | |
Absolutely. We have even arranged for some sunshine. Well, indeed. | :37:48. | :37:53. | |
Now, Martin, how do you go about measuring | :37:54. | :37:57. | |
the weight of the world, with that mountain? | :37:58. | :38:00. | |
Well, the science is quite challenging. | :38:01. | :38:02. | |
It certainly was for the late 18th-century. | :38:03. | :38:05. | |
But actually the principle is fairly easy to explain. | :38:06. | :38:07. | |
Essentially, imagine this was the mountain, Schiehallion. | :38:08. | :38:10. | |
and you know how large it is, what its size is, | :38:11. | :38:14. | |
then basically all you have got to do is scale up | :38:15. | :38:16. | |
from the weight of this stone, to maybe a much bigger one, | :38:17. | :38:18. | |
like this, which would represent the Earth... Which I am sitting on, yes! | :38:19. | :38:21. | |
Absolutely, you are sitting on the earth, | :38:22. | :38:23. | |
and there, you have got an estimate of the weight of the Earth. | :38:24. | :38:26. | |
So, as you say, the principle is relatively straightforward. | :38:27. | :38:28. | |
But why Schiehallion, why this mountain in particular? | :38:29. | :38:31. | |
Well, Maskelyne spent a long time searching for a suitable mountain. | :38:32. | :38:34. | |
He was looking for a mountain that was quite regular in shape, | :38:35. | :38:38. | |
quite geometrical in shape, a bit like a pyramid. | :38:39. | :38:40. | |
Because it is much easier to work out the total size | :38:41. | :38:43. | |
In fact, it was not just Maskelyne involved in that, he was | :38:44. | :38:47. | |
assisted by Charles Hutton, who surveyed the mountain. | :38:48. | :38:50. | |
really invented the whole notion of contour lines, | :38:51. | :38:54. | |
that you see on ordnance survey maps all the time these days. | :38:55. | :38:57. | |
So working out the size was much easier for sure Schiehallion, | :38:58. | :39:00. | |
So, how big, in relation to the rest of the world, is Schiehallion? | :39:01. | :39:05. | |
It is roughly about one million-millionth of the size | :39:06. | :39:09. | |
That, I mean, is a million-millionth of the rest of the planet? | :39:10. | :39:14. | |
To find that out, we have to get up the mountain. | :39:15. | :39:29. | |
you do get a sense that nothing has really changed since Maskelyne's day. | :39:30. | :39:34. | |
How long were they up here working for? Basically, most of the summer. | :39:35. | :39:38. | |
About seven, eight weeks. In every weather? Yeah. | :39:39. | :39:41. | |
It does change so quickly. It does, doesn't it? Yes. | :39:42. | :39:48. | |
Here we are, guys. Halfway up, having struggled through the climb. | :39:49. | :39:51. | |
We have got wet, we are surrounded by midges | :39:52. | :39:54. | |
You said down at the bottom, Martin, that we know, this mountain, | :39:55. | :39:59. | |
Schiehallion, is one million-million times smaller | :40:00. | :40:02. | |
than the rest of the Earth. That's right. | :40:03. | :40:04. | |
And you have dragged me all the way up here to tell me | :40:05. | :40:06. | |
how they figured out just how heavy it was. | :40:07. | :40:09. | |
OK, well, to measure the weight of the mountain, | :40:10. | :40:13. | |
Now, about 100 years before Maskelyne , Newton worked out that | :40:14. | :40:18. | |
gravity is something that everything in the universe experiences. | :40:19. | :40:22. | |
Everything has a gravitational pull towards everything else. | :40:23. | :40:26. | |
And Newton also worked out that if you could measure | :40:27. | :40:29. | |
the gravitational pull something then you could also work | :40:30. | :40:32. | |
out its weight, because gravitational pull | :40:33. | :40:35. | |
What did he use to try and figure out this all out? | :40:36. | :40:39. | |
He would have used a device similar to this. | :40:40. | :40:43. | |
and it indicates the direction of the gravitational pull. | :40:44. | :40:47. | |
So, on flat land, it obviously hangs vertically down towards the Earth. | :40:48. | :40:52. | |
But as you bring the plumb line closer to the mountain, | :40:53. | :40:56. | |
you find that the mountain itself actually gravitationally | :40:57. | :40:59. | |
attracts and pulls the plumb line towards it. | :41:00. | :41:02. | |
So, if you can measure that deflection, you can | :41:03. | :41:04. | |
But this is a very, very small degree of measurement, presumably, | :41:05. | :41:10. | |
How was he able to calculate that back in the late 18th century? | :41:11. | :41:16. | |
Yeah, well, that is why it was a job for the Astronomer Royal. | :41:17. | :41:19. | |
Because he needed to know the true vertical. | :41:20. | :41:21. | |
know the position of the stars, very accurately. | :41:22. | :41:26. | |
You had to make measurements with hundreds of stars, | :41:27. | :41:29. | |
you had to do it all over the mountain, | :41:30. | :41:31. | |
and course, you need clear skies, to do it at night. | :41:32. | :41:33. | |
As Astronomer Royal, Maskelyne's knowledge of the stars meant | :41:34. | :41:37. | |
they could calculate what true vertical was. | :41:38. | :41:39. | |
And therefore, the deflection of the plumb line | :41:40. | :41:42. | |
caused by the gravitational pull of the mountain. | :41:43. | :41:45. | |
He did succeed, he did manage it, so I'm dying to ask, | :41:46. | :41:48. | |
how heavy is this mountain, having climbed halfway up it?! | :41:49. | :41:52. | |
Well, getting on for 1 billion tonnes. 1 billion tonnes. Yes. | :41:53. | :41:56. | |
But what does that mean for the weight of the world? | :41:57. | :41:59. | |
We take our billion tonnes, give or take, | :42:00. | :42:01. | |
and that's you got the weight of the world. | :42:02. | :42:06. | |
So, it is a million million billion tonnes? More or less. More or less! | :42:07. | :42:10. | |
Now, modern techniques can obviously tell us the weight of the world. | :42:11. | :42:14. | |
He got within about 20 percent of the figure that modern techniques | :42:15. | :42:18. | |
would tell us is the true weight of the Earth. | :42:19. | :42:20. | |
And also, he was able to use that estimate to work out | :42:21. | :42:23. | |
the weight of the other planets in our solar system. | :42:24. | :42:25. | |
It is an extraordinary achievement, isn't it, really? Yes. | :42:26. | :42:29. | |
Here, on this, you know, very quiet, empty mountain, in central Scotland. | :42:30. | :42:32. | |
Funding his lengthy research in such a remote location | :42:33. | :42:37. | |
But it proved worthwhile, at least for Maskelyne. | :42:38. | :42:42. | |
His experiment has become one of the most famous, | :42:43. | :42:46. | |
giving him a prominent place in the history of science. | :42:47. | :43:00. | |
From our living laboratory to our living landscape. | :43:01. | :43:04. | |
That is the theme of the 2014 Countryfile calendar. | :43:05. | :43:08. | |
It cost ?9 and comes with free delivery. | :43:09. | :43:11. | |
If you would like one, please visit the Countryfile website. | :43:12. | :43:15. | |
There, you will find all the details you need to order your copy. | :43:16. | :43:20. | |
A minimum of ?4 from the sale of every calendar will | :43:21. | :43:24. | |
go to the BBC Children In Need appeal. | :43:25. | :43:26. | |
In a moment, I will be catching up with scientists behind one | :43:27. | :43:29. | |
of the longest-running bird surveys on the planet. | :43:30. | :43:32. | |
But first, let's go to the weather studio in London, | :43:33. | :43:35. | |
for the Countryfile forecast for the week ahead. | :43:36. | :43:49. | |
Hello. Every year, thousands of birds come flocking to our shores to | :43:50. | :43:57. | |
try and get an easier ride with our winter weather compared to what they | :43:58. | :44:00. | |
could find elsewhere in Europe. Robbins might be your only winter | :44:01. | :44:09. | |
visitor. Last week you sent us pictures with snow around, settling | :44:10. | :44:14. | |
mainly in the northern half of the UK. But very little of that drama | :44:15. | :44:19. | |
coming our way this week. Whenever you see this big area of high | :44:20. | :44:22. | |
pressure, you know the weather will be quiet and the change is gradual. | :44:23. | :44:27. | |
This is blocking Atlantic and Arctic weather systems coming our way. | :44:28. | :44:31. | |
Instead of getting colder, we will start the week old, but we will be | :44:32. | :44:36. | |
getting into the warm colours. Temperatures go up and it gets | :44:37. | :44:39. | |
milder but it does not last too long. By the end of the week we are | :44:40. | :44:45. | |
back into the blue. The main themes this week, with high pressure, dry | :44:46. | :44:49. | |
weather. Patchy frost and for that night and a recovery in temperature. | :44:50. | :44:55. | |
Day by day, starting with Monday morning, fog patches through Wales, | :44:56. | :44:59. | |
western England and into Scotland. The fog may be slow to clear. | :45:00. | :45:07. | |
Temperatures will be held down considerably by that. Some patchy | :45:08. | :45:11. | |
rain heading into northern Scotland with temperatures for now still | :45:12. | :45:14. | |
rooted in single figures. From Monday night and into Tuesday, | :45:15. | :45:18. | |
patchy frost developing with fog patches and holes in the cloud. They | :45:19. | :45:23. | |
will come and go with temperatures coming up and down a bit but there | :45:24. | :45:28. | |
will be poor visibility around as we start on Tuesday. And some rain | :45:29. | :45:32. | |
edging towards northern Scotland. A change in Scotland on Tuesday. The | :45:33. | :45:36. | |
high pressure gets flattened by this weak weather front going through, | :45:37. | :45:42. | |
allowing winds to pick up. Some outbreaks of rain around elsewhere. | :45:43. | :45:45. | |
The winds will still be liked with mist and fog slow to clear. Bright | :45:46. | :45:51. | |
spells around and most places dry. Temperatures in single figures in | :45:52. | :45:55. | |
most places but it is getting mild in northern Scotland. A sign of | :45:56. | :45:59. | |
things to come. That mild air behind this warm front. More of us will see | :46:00. | :46:05. | |
a recovery in temperature on Wednesday but another weather system | :46:06. | :46:09. | |
will approach northern Scotland. That will pep up the rain on | :46:10. | :46:14. | |
Wednesday and the winds. Elsewhere, light winds and mist and fog in | :46:15. | :46:20. | |
southern areas to begin the day, but the southern half of UK will around | :46:21. | :46:27. | |
10 degrees. That weather dies a death. Cloud and some rain on | :46:28. | :46:32. | |
Thursday. Lighter winds in Scotland, but temperatures even in | :46:33. | :46:36. | |
southern areas have moved up. If you take what we are spending on | :46:37. | :46:40. | |
Thursday and compare it to what is average, typical and normal for the | :46:41. | :46:44. | |
final week of November, pretty spot on, and we have not had that for a | :46:45. | :46:49. | |
while. This is the picture at the end of the week with high pressure | :46:50. | :46:53. | |
finally giving way to a more active system from the Atlantic. Some | :46:54. | :46:57. | |
uncertainty about the timing of this front but it will bring a change to | :46:58. | :47:01. | |
Scotland and Northern Ireland, weakening as it moves into England. | :47:02. | :47:05. | |
Showers turning wintry again over the hills of Scotland. And the winds | :47:06. | :47:11. | |
will be colder and north-westerly. But some respite | :47:12. | :47:24. | |
I'm in Oxfordshire where I've been finding out how science | :47:25. | :47:27. | |
has shaped our land and how our land has shaped science. | :47:28. | :47:31. | |
Wytham Woods is the perfect place. It's a real life living laboratory. | :47:32. | :47:37. | |
but it's part of an ongoing study of Wytham's wild birds. | :47:38. | :47:49. | |
Lead scientist Colin Garraway explains. | :47:50. | :47:54. | |
inviting the birds to have a nice meal and then | :47:55. | :47:59. | |
but it's teaching us a lot about bird behaviour. | :48:00. | :48:06. | |
We've got four sparrowhawks set to release. | :48:07. | :48:12. | |
We have every bird in the woods microchipped. | :48:13. | :48:15. | |
We program our data loggers here to recognise certain birds | :48:16. | :48:19. | |
The unsuspecting bird lands on the feeder looking for a free meal. | :48:20. | :48:27. | |
The microchip on its leg triggers the release of the sparrowhawk. | :48:28. | :48:31. | |
How the bird then behaves is what the experiment is designed to test. | :48:32. | :48:37. | |
This is where the sparrowhawk...lands. | :48:38. | :48:42. | |
Yeah. So they have a not so graceful landing into our box. | :48:43. | :48:48. | |
It's a pretty good impression of one, isn't it? Yes. | :48:49. | :48:53. | |
What are you learning from this experiment? | :48:54. | :48:56. | |
We're interested in understanding social relationships | :48:57. | :48:58. | |
and the evolution of how and why birds form flocks. | :48:59. | :49:03. | |
We want to create the perception of predation pressure | :49:04. | :49:06. | |
and look at how that affects the social relationships. | :49:07. | :49:10. | |
Give me an example of what you're seeing. | :49:11. | :49:12. | |
We might see, for example, two birds come in together. | :49:13. | :49:16. | |
If one of them flies off but one of them stays there, | :49:17. | :49:21. | |
we think that that might depend on how strongly | :49:22. | :49:23. | |
The experiment is set up but today conditions are far from ideal. | :49:24. | :49:34. | |
Nevertheless, each team member takes up a different position. | :49:35. | :49:44. | |
To give ourselves the best chance of seeing the experiment in action, | :49:45. | :49:47. | |
we're going to release the sparrowhawk manually. | :49:48. | :49:51. | |
In the box the sparrowhawk has a little hook that is connected to | :49:52. | :49:58. | |
When we create the circuit, by linking these two together, | :49:59. | :50:03. | |
it releases the trigger and the sparrowhawk can fly. | :50:04. | :50:08. | |
This experiment is part of one of the longest-running bird studies | :50:09. | :50:12. | |
What's learned today here is adding to data going back to the late 1940s. | :50:13. | :50:19. | |
Right now, though, it's a case of watching and waiting. | :50:20. | :50:24. | |
Everything is set up now? Yeah, we're ready to go. A few birds are out. | :50:25. | :50:29. | |
Yeah. The fake sparrowhawk is in position. | :50:30. | :50:32. | |
It's ready to go. It should be interesting. | :50:33. | :50:37. | |
Once we've settled down, the birds soon appear. | :50:38. | :50:40. | |
They seem happy enough picking at seeds from the feeder. | :50:41. | :50:45. | |
This could demonstrate strong bonds between them | :50:46. | :50:57. | |
or it could be a sign of something else. | :50:58. | :51:00. | |
when you first hear it that birds actually have personality - | :51:01. | :51:04. | |
birds that are bold, birds that are shy. | :51:05. | :51:08. | |
and social tendencies affect the whole population structure. | :51:09. | :51:16. | |
The way in which the birds here in Wytham Woods are studied in many | :51:17. | :51:21. | |
different circumstances is just one example of how | :51:22. | :51:24. | |
this remarkable place is adding to our understanding | :51:25. | :51:28. | |
That's it from the living laboratory of Wytham Woods. | :51:29. | :51:41. | |
Next week we'll be in the Peak District. | :51:42. | :51:43. | |
I'll be deep underground where new treasure has been discovered | :51:44. | :51:46. | |
and Ellie will be getting on her bike to test out one of | :51:47. | :51:49. | |
the toughest sections of next year's Tour de France. | :51:50. | :51:55. | |
And no fake sparrowhawks! See you then, I hope. Bye for now. | :51:56. | :52:20. | |
'Follow your gut - I mean, what does that mean? | :52:21. | :52:30. | |
'I mean, I defy any married man to tell me that he's not had thoughts.' | :52:31. | :52:33. | |
It's what you do with them thoughts that count. | :52:34. | :52:35. | |
'Do you love Roxy? Or do you think you love Kat more?' | :52:36. | :52:39. |