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These are the user uploaded subtitles that are being translated: 1 00:00:01,334 --> 00:00:04,069 [narrator] Welcome on this episode of Tomorrow's World Today. 2 00:00:04,871 --> 00:00:07,106 We visit the world of production 3 00:00:07,140 --> 00:00:13,178 to learn how one company is helping to salvage trees after wildfires. 4 00:00:15,882 --> 00:00:21,086 And how forestry management helps keep our forests healthy. 5 00:00:23,423 --> 00:00:25,691 From Invention land world headquarters, 6 00:00:25,725 --> 00:00:29,194 here's our host, George Davison. 7 00:00:30,463 --> 00:00:33,866 I love hearing about how companies got their names. 8 00:00:33,900 --> 00:00:36,402 You know, some businesses are named after their founders. 9 00:00:36,436 --> 00:00:39,471 And sometimes, they're named after a place. 10 00:00:39,506 --> 00:00:43,409 But no matter what, there's always thought behind it 11 00:00:43,443 --> 00:00:46,478 and always a good story to tell. 12 00:00:46,513 --> 00:00:49,748 Even an ugly dog like the one in this picture 13 00:00:49,783 --> 00:00:52,684 could be the inspiration for a company's name. 14 00:00:52,719 --> 00:00:56,355 In the 1960s, Einar Vidgrén, 15 00:00:56,389 --> 00:00:59,224 developed a load carrying forest tractor 16 00:00:59,259 --> 00:01:01,660 in a local village workshop. 17 00:01:01,694 --> 00:01:04,596 The machine was made entirely out of recycled parts 18 00:01:04,631 --> 00:01:07,766 and to put it mildly, well, it wasn't the most attractive 19 00:01:07,801 --> 00:01:11,270 piece of machinery that village had ever seen 20 00:01:11,304 --> 00:01:12,838 but, boy, did it work. 21 00:01:12,872 --> 00:01:18,077 And it reminded him of his trusty hunting dog, Ponsse. 22 00:01:18,711 --> 00:01:23,382 Now, this is the very first 23 00:01:23,416 --> 00:01:26,852 drawing of a Ponsse machine. 24 00:01:26,886 --> 00:01:30,989 You see, Ponsse's fur, it was grey and dirty. 25 00:01:31,024 --> 00:01:33,625 The dog just... wasn't all that good looking. 26 00:01:33,660 --> 00:01:36,662 But it was reliable, 27 00:01:36,696 --> 00:01:39,932 and it never came back from a hunting trip empty-handed 28 00:01:39,966 --> 00:01:44,536 So it only made sense to Einari, that he name his trusty 29 00:01:44,571 --> 00:01:47,506 but ugly machine, 30 00:01:47,540 --> 00:01:51,443 after his trusty but ugly dog. 31 00:01:51,478 --> 00:01:55,047 And that's how Ponsse was born. 32 00:01:58,551 --> 00:02:01,553 Ponsse has gone on to become one of the largest 33 00:02:01,588 --> 00:02:05,390 most reliable forest machinery vehicle manufacturers 34 00:02:05,425 --> 00:02:06,458 in the world. 35 00:02:06,493 --> 00:02:10,162 And it's the reliability of their harvester 36 00:02:10,196 --> 00:02:12,364 and their forester 37 00:02:12,398 --> 00:02:17,736 that help to process trees after the 2020 wild fires out in Oregon. 38 00:02:17,770 --> 00:02:21,507 Now, let's go join David, who's out in Oregon 39 00:02:21,541 --> 00:02:25,144 right now, to learn more about this operation. 40 00:02:33,486 --> 00:02:35,721 [David] I'm in Eugene, Oregon, at the site 41 00:02:35,755 --> 00:02:38,457 where the wild fires began last year. 42 00:02:38,491 --> 00:02:40,626 This fire lasted for weeks. 43 00:02:40,660 --> 00:02:43,395 But the biggest loss, in a short amount of time 44 00:02:43,429 --> 00:02:47,132 was when 1.2 million acres burned 45 00:02:47,167 --> 00:02:48,901 in just 72 hours. 46 00:02:48,935 --> 00:02:53,138 And as you can see, I'm surrounded by burnt trees. 47 00:02:53,173 --> 00:02:57,276 Most people would see the remnants of the fire and think... 48 00:02:57,310 --> 00:02:59,745 "This wood is ruined" But that's where they would be wrong. 49 00:02:59,779 --> 00:03:04,016 After a wild fire, a massive cleanup has to take place. 50 00:03:04,050 --> 00:03:08,854 Post-fire salvage not only let's us collect and use wood that was burned 51 00:03:08,888 --> 00:03:11,657 but also helps lower the risk of an accidental fire 52 00:03:11,691 --> 00:03:13,659 happening in the area again. 53 00:03:13,693 --> 00:03:15,761 Converting dead trees into products 54 00:03:15,795 --> 00:03:18,764 Can reduce the amount of carbon dioxide in the air. 55 00:03:18,798 --> 00:03:21,934 Which in turn, can help with climate change. 56 00:03:21,968 --> 00:03:25,671 Ponsse is working here to reclaim the wood that was burned 57 00:03:25,705 --> 00:03:28,740 when the fires happened in the summer of 2020. 58 00:03:28,775 --> 00:03:31,843 They don't have a lot of time, just six months 59 00:03:31,878 --> 00:03:36,014 to process as much wood as they can before it's no longer usable. 60 00:03:36,049 --> 00:03:40,719 I'm meeting Pekka Ruuskanen, President and CEO of Ponsse, North America, 61 00:03:40,753 --> 00:03:43,121 to learn more about the process. 62 00:03:48,561 --> 00:03:50,662 You must be Pekka. 63 00:03:50,697 --> 00:03:53,365 - Oh, Hi David. - Hi, Pekka, you're a man of your word 64 00:03:53,399 --> 00:03:54,733 you said you'd be here and here you are. 65 00:03:54,767 --> 00:03:56,735 Well, I'm always here I was born in the woods. 66 00:03:56,769 --> 00:03:59,705 Heh, I tell you, it's good see you 67 00:03:59,739 --> 00:04:02,441 and I'm glad we could have this conversation. 68 00:04:02,475 --> 00:04:05,877 It was devastating to hear about the 4,000 homes that were destroyed. 69 00:04:05,912 --> 00:04:07,879 And then I get here and I see these trees 70 00:04:07,914 --> 00:04:10,983 and I don't know how any of this is salvageable. 71 00:04:11,017 --> 00:04:14,119 So how does something that has been burned get used again? 72 00:04:37,543 --> 00:04:39,511 Would you like to see them in action? 73 00:04:39,545 --> 00:04:43,148 - I would absolutely love to see them in action. - Let's go and look. 74 00:04:52,525 --> 00:04:56,295 Hey, David, this is Matthew. He's gonna take care of you. 75 00:04:56,329 --> 00:04:59,464 I have to go and take care of some other business but see you guys later. 76 00:04:59,499 --> 00:05:00,599 - See ya. - See ya, Pekka. 77 00:05:00,633 --> 00:05:02,167 - Matt, it's great to meet you. - Nice to meet you, David. 78 00:05:02,201 --> 00:05:06,672 So I'm really excited to learn all I can about these amazing machines you have 79 00:05:06,706 --> 00:05:09,508 and my guess is, this is the harvester. 80 00:05:09,542 --> 00:05:12,611 You are correct. As a matter of fact, this is a Ponsse Ergo. 81 00:05:12,645 --> 00:05:15,947 This machine has 32 feet of reach from the center line of the machine, 82 00:05:15,982 --> 00:05:17,683 where then it takes this harvesting head 83 00:05:17,717 --> 00:05:21,420 wraps it around the tree, a saw bar comes out underneath, 84 00:05:21,454 --> 00:05:24,389 cuts the tree down, then these 3 feed wheels, 85 00:05:24,424 --> 00:05:26,658 pull the tree through the harvesting head where these knives 86 00:05:26,693 --> 00:05:28,860 then take the limbs off the tree, 87 00:05:28,895 --> 00:05:30,696 this wheel in the center measures the length and then a saw bar 88 00:05:30,730 --> 00:05:32,964 comes out again and bucks the tree into logs. 89 00:05:32,999 --> 00:05:36,401 Okay, and now, per tree, how many lengths are you looking for? 90 00:05:36,436 --> 00:05:37,769 It depends on the job. 91 00:05:37,804 --> 00:05:41,273 But overall we're trying to maximize the total value out of the tree. 92 00:05:41,307 --> 00:05:44,476 But this machine also works with another machine called a Forwarder. 93 00:05:44,510 --> 00:05:45,977 Let's go take a look. 94 00:05:51,751 --> 00:05:54,720 [Matthew] And this is the other half of that team. This is the Forwarder. 95 00:05:54,754 --> 00:05:58,090 Wow! These tracks are massive, what's going on with them? 96 00:05:58,124 --> 00:06:01,793 [Matthew] These tracks are a traction aide, they help the machine disperse it's weight 97 00:06:01,828 --> 00:06:03,995 and protect the soil and climb the hill. 98 00:06:04,030 --> 00:06:07,999 When we have extreme slopes we use this traction aide wench underneath as well, 99 00:06:08,034 --> 00:06:10,869 we tie it off to a stump and it helps the machine get to the road. 100 00:06:10,903 --> 00:06:15,040 - I have some operators, let's go see this machine in action. - All right, let's go. 101 00:06:46,172 --> 00:06:48,707 [narrator] There are so many benefits to post-fire salvage 102 00:06:48,741 --> 00:06:50,909 when it comes to keeping our forests healthy. 103 00:06:50,943 --> 00:06:54,079 Not only does it support local timber industries, 104 00:06:54,113 --> 00:06:55,814 but also promotes future forest development 105 00:06:55,848 --> 00:07:00,152 and reduces the chances of fires happening again. 106 00:07:03,556 --> 00:07:05,490 [Matthew] So now we're out on a harvest unit. 107 00:07:05,525 --> 00:07:08,460 Kyle, our harvester operator has set up his machine. 108 00:07:08,494 --> 00:07:10,529 He has his wench strapped off on a stump 109 00:07:10,563 --> 00:07:14,766 and the cable's tight and he's preparing to start opening up a new corridor. 110 00:07:14,801 --> 00:07:16,868 And what this means is, he's gonna go down, 111 00:07:16,903 --> 00:07:19,738 and reach out 32 feet either side of his machine, 112 00:07:19,772 --> 00:07:23,108 cut trees, process them and lay the logs out to the side. 113 00:07:23,142 --> 00:07:26,878 And after he's done with that corridor, then the other machine, 114 00:07:26,913 --> 00:07:28,447 the Forwarder will come by and pick up the logs. 115 00:07:28,481 --> 00:07:31,149 But this is first phase in a multi-step process. 116 00:07:31,184 --> 00:07:33,485 I've noticed a lot of the trees have green tops still so, 117 00:07:33,519 --> 00:07:35,253 how do you know which ones you have to process 118 00:07:35,288 --> 00:07:36,755 and which ones you just leave alone? 119 00:07:36,789 --> 00:07:39,858 [Matthew] Excellent question. In this situation, it's a salvage operation, 120 00:07:39,892 --> 00:07:42,961 most of these trees are already dead and don't know it 121 00:07:42,995 --> 00:07:44,329 or there's a few that might be okay 122 00:07:44,363 --> 00:07:47,699 but they're probably gonna either blow over or die shortly so... 123 00:07:47,733 --> 00:07:49,701 we're taking all the trees in this situation 124 00:07:49,735 --> 00:07:51,670 and then it'll be reforested. 125 00:07:51,704 --> 00:07:54,372 How about we give Kyle a green light, let him go? 126 00:07:54,407 --> 00:07:56,141 - Sounds great to me. - Okay. 127 00:07:56,175 --> 00:07:57,409 Kyle, let go. 128 00:08:05,384 --> 00:08:07,219 [water splashing] 129 00:08:07,253 --> 00:08:09,321 [truck idling] 130 00:08:10,590 --> 00:08:13,191 [water splashing] 131 00:08:14,260 --> 00:08:18,096 [upbeat music playing] 132 00:08:34,914 --> 00:08:39,651 [David] So, Matt, I see this teamwork we were talking about earlier taking place. 133 00:08:39,685 --> 00:08:43,755 Could you tell me exactly what's gonna happen during this dance. 134 00:08:43,789 --> 00:08:47,359 So what's gonna happen here is Kyle is opening up this new corridor, 135 00:08:47,393 --> 00:08:48,660 cutting his way down the hill. 136 00:08:48,694 --> 00:08:50,829 In the meantime, Chewy on the next corridor 137 00:08:50,863 --> 00:08:54,966 is picking up the logs that Kyle had previously cut, putting them in his bunk, 138 00:08:55,001 --> 00:08:57,736 so when he gets it up the hill and he's got all the logs picked up 139 00:08:57,770 --> 00:09:01,439 he'll unhook his cable, drive to the roadside, 140 00:09:01,474 --> 00:09:05,277 unload the logs, make a nice clean pile in preparation for the log truck. 141 00:09:05,311 --> 00:09:08,380 [truck idling] 142 00:09:18,691 --> 00:09:21,126 So, David, we've seen what the machines have done to salvage 143 00:09:21,160 --> 00:09:22,928 as much of the burned timber as possible. 144 00:09:22,962 --> 00:09:25,530 These logs are ready to go to the town, to the sawmill, 145 00:09:25,565 --> 00:09:28,733 to be turned into two-by-fours or two-by-sixes and, eventually, people's homes. 146 00:09:28,801 --> 00:09:31,570 But let me show you what's next in this regenerative process. 147 00:09:31,604 --> 00:09:35,140 - I look forward to it, I'll follow you. - Let's check it out. 148 00:09:36,943 --> 00:09:40,579 [narrator] After a forest fire, there is a short window of time 149 00:09:40,613 --> 00:09:42,948 to collect burnt trees and use them for lumber. 150 00:09:42,982 --> 00:09:47,586 Now that all the wood is collected, it heads over to a mill. 151 00:09:48,621 --> 00:09:50,822 Believe it or not, sawmills actually operate 152 00:09:50,856 --> 00:09:54,025 the same way they have for hundreds of years. 153 00:09:54,060 --> 00:09:56,595 The process may not have changed much, 154 00:09:56,629 --> 00:09:59,598 but the efficiency of milling definitely has. 155 00:09:59,632 --> 00:10:02,167 First, wood has to be debarked. 156 00:10:02,201 --> 00:10:05,570 The bark can be saved, or can be sold as mulch 157 00:10:05,605 --> 00:10:08,707 or even used to fuel the kilns at a sawmill. 158 00:10:08,741 --> 00:10:11,643 Next, each log will go through metal detection. 159 00:10:11,677 --> 00:10:14,813 Making sure they get rid of things like nails, fencing, 160 00:10:14,847 --> 00:10:17,682 Or other metals that could be in the logs. 161 00:10:17,717 --> 00:10:21,519 After that, you really start to see the technological advancements 162 00:10:21,554 --> 00:10:23,588 that have happened in the milling industry. 163 00:10:23,623 --> 00:10:27,425 Lasers can help maximize the amount of lumber from every log. 164 00:10:27,460 --> 00:10:30,829 So there are no unnecessary cuts being made. 165 00:10:30,863 --> 00:10:33,398 The log is cut into the appropriate sizes 166 00:10:33,432 --> 00:10:35,567 and then it is graded and dried. 167 00:10:35,601 --> 00:10:39,537 Either with a kiln, or good old fashioned air drying. 168 00:10:39,572 --> 00:10:44,009 Finally, once it's dry, it's ready to be sold. 169 00:10:52,618 --> 00:10:54,519 [David] So, Matt, what are we looking at here? 170 00:10:54,553 --> 00:10:56,988 [Matthew] What we're looking at is a Ponsse Elephant King 171 00:10:57,023 --> 00:11:00,959 with a water tank which makes it into an initial attack super scheduling. 172 00:11:00,993 --> 00:11:04,896 Machines like this are absolutely valuable in fighting wildfire. 173 00:11:04,930 --> 00:11:08,833 Initial attack is a great opportunity where we can knock down the flames 174 00:11:08,868 --> 00:11:12,470 and help prevent the fire from becoming catastrophic. 175 00:11:12,505 --> 00:11:14,773 [David] How much water can that carry and how long will that last? 176 00:11:14,807 --> 00:11:18,643 2,600 gallons of water, but that machine can pump that out in ten minutes. 177 00:11:18,678 --> 00:11:21,813 [David] So what's the process to kind of, keep that in action. 178 00:11:21,847 --> 00:11:24,883 How do you refill it, keep it going, while fighting a fire? 179 00:11:24,917 --> 00:11:26,718 [Matthew] Good question. So the machine has a couple of ways to do this. 180 00:11:26,752 --> 00:11:29,521 We can either fill it up off another machine, 181 00:11:29,555 --> 00:11:31,690 or it has an internal pump that can be placed 182 00:11:31,724 --> 00:11:34,793 in a water source and it can suck the water up and put it in its tank. 183 00:11:34,827 --> 00:11:37,228 What do you say we turn around and watch it in action? 184 00:11:37,263 --> 00:11:38,563 All right. 185 00:11:38,597 --> 00:11:42,167 [water splashing] 186 00:12:09,795 --> 00:12:13,231 [narrator] We've seen what happens to wood once it's been cleared 187 00:12:13,265 --> 00:12:14,466 But we're not done yet. 188 00:12:14,500 --> 00:12:15,700 Let's head back to the clearing 189 00:12:15,735 --> 00:12:18,636 to see the next steps for the forest. 190 00:12:19,805 --> 00:12:22,574 [Matthew] So, David, now we're walking through the area, 191 00:12:22,608 --> 00:12:26,244 that's been harvested, and just in the past few days 192 00:12:26,278 --> 00:12:28,413 this area was planted with, 193 00:12:28,447 --> 00:12:30,782 that 9-month-old Douglas Fir seedlings. 194 00:12:30,816 --> 00:12:36,054 So I've read that it takes 35 years for a forest to truly regenerate. 195 00:12:36,088 --> 00:12:40,425 What can we do in the future to prevent a forest fire like this from happening again? 196 00:12:40,459 --> 00:12:42,360 [Matthew] Active forest management. 197 00:12:42,394 --> 00:12:45,897 Letting foresters work with the land to control the vegetation 198 00:12:45,931 --> 00:12:46,965 to prevent catastrophic wildfires. 199 00:12:46,999 --> 00:12:50,401 Now, I've also noticed down here there's a tree line 200 00:12:50,436 --> 00:12:52,670 and there's a lot of green strings around those trees. 201 00:12:52,705 --> 00:12:54,639 What makes those trees special? 202 00:12:54,673 --> 00:12:56,841 [Matthew] Those trees there are for a very specific purpose. 203 00:12:56,876 --> 00:12:59,477 And that is, to help protect that stream. 204 00:12:59,512 --> 00:13:00,912 Even when the fire came through here, 205 00:13:00,946 --> 00:13:03,848 those trees are gonna fall in the stream and become habitat for fish. 206 00:13:03,883 --> 00:13:06,684 Because we want to re-establish wildlife and fish populations 207 00:13:06,719 --> 00:13:08,419 back into this area that is burnt. 208 00:13:08,454 --> 00:13:09,621 [Matthew] But let's go take a look 209 00:13:09,655 --> 00:13:12,957 at what this is gonna look like in the future. 210 00:13:24,804 --> 00:13:27,739 I do not know where we're at Matt. 211 00:13:27,773 --> 00:13:31,442 I can't see the forest for the trees, nor could Bigfoot. 212 00:13:31,477 --> 00:13:35,079 What I will say, it's dark in here and dense. 213 00:13:35,114 --> 00:13:38,316 [Matthew] It is. And that's because this is 27 year old 214 00:13:38,350 --> 00:13:39,884 untinned Douglas Fir Forest. 215 00:13:39,919 --> 00:13:43,388 - But let me show you what active management looks like. - Sounds great. 216 00:13:43,422 --> 00:13:47,125 [footsteps approaching] 217 00:13:48,794 --> 00:13:51,930 [Matthew] Here we are in a thinned 27-year-old Douglas Fir Forest. 218 00:13:51,964 --> 00:13:55,099 We thinned this forest last fall, removed half the trees. 219 00:13:55,134 --> 00:13:58,036 They went to town to become forest products where we sequestered the carbon, 220 00:13:58,070 --> 00:14:02,807 reduced our fire hazard and improved wildlife habitat. I call that a win. 221 00:14:02,842 --> 00:14:06,377 -Hey, that sounds great. Let's go find Bigfoot. -Okay. 222 00:14:21,160 --> 00:14:23,161 [blows] 223 00:14:25,598 --> 00:14:28,533 Wow, Matt. You have a slice of heaven out here. 224 00:14:28,567 --> 00:14:30,735 Yes we do. This is my office. 225 00:14:30,769 --> 00:14:33,972 Across the landscape here we have a mosaic of ages. 226 00:14:34,006 --> 00:14:38,476 The far hill over there, is about 70-year-old Douglas Fir. 227 00:14:38,510 --> 00:14:40,678 Right in the middle, is a 30-year-old Douglas Fir 228 00:14:40,713 --> 00:14:42,046 stand that we thinned 2 years ago. 229 00:14:42,081 --> 00:14:44,983 And we're currently standing in a 6-year-old Douglas Fir forest. 230 00:14:45,017 --> 00:14:46,818 How about we take a look at some of these ages? 231 00:14:46,852 --> 00:14:50,088 - I was thinking the same thing. - Great. 232 00:14:54,793 --> 00:14:57,862 [Matthew] So what we're looking at here is a 6-year-old Douglas Fir. 233 00:14:57,897 --> 00:15:01,900 [David] Okay, so, I see a Christmas Tree. How do you know this is 6 years old? 234 00:15:01,934 --> 00:15:05,970 I start at the top, I look at the leader which is the top part of the tree 235 00:15:06,005 --> 00:15:09,507 and the first cluster of branches is called the whirl and I count down, 236 00:15:09,541 --> 00:15:13,945 One, two, three, four, five, six. 237 00:15:13,979 --> 00:15:16,714 Six years in the field, maybe a year or two in the nursery, 238 00:15:16,749 --> 00:15:20,551 so foresters count it from the time it's planted in the field, so 6-year-old tree. 239 00:15:20,586 --> 00:15:22,587 How about we go look at another age class? 240 00:15:22,621 --> 00:15:25,390 - You lead the way. - Okay. 241 00:15:25,424 --> 00:15:28,393 [birds chirping] 242 00:15:31,363 --> 00:15:35,133 [footsteps approaching] 243 00:15:35,167 --> 00:15:38,536 So here, David, now we're looking at trees that are roughly twice the age 244 00:15:38,570 --> 00:15:41,873 and twice the size of the ones we just look at. These trees are in their teens. 245 00:15:41,907 --> 00:15:43,808 And now entering a rapid growth phase in their life cycle 246 00:15:43,842 --> 00:15:47,011 and are sequestering lots of carbon and converting it to woody material. 247 00:15:47,046 --> 00:15:50,682 I love the science going on. What do you say we go find some 20 somethings. 248 00:15:50,716 --> 00:15:53,551 - Let's do it, heh. - All right. 249 00:15:53,585 --> 00:15:56,921 [footsteps] 250 00:15:56,956 --> 00:16:00,758 So now, we're walking through a stand that's roughly 20 years old. 251 00:16:00,793 --> 00:16:02,927 [David] Why are these limbs missing needles? 252 00:16:02,962 --> 00:16:04,562 [Matthew] Well, what we've reached is a point at which 253 00:16:04,596 --> 00:16:06,130 the trees are big enough for the crowns are closing 254 00:16:06,165 --> 00:16:08,933 and the limbs below are staring to lose their needles and die off. 255 00:16:08,968 --> 00:16:12,670 We are rapidly approaching a point at which we need to perform some active management 256 00:16:12,705 --> 00:16:16,207 - Would you like to go look at that site? - You lead the way. 257 00:16:31,357 --> 00:16:32,657 [footsteps approaching] 258 00:16:32,691 --> 00:16:35,526 [David] Yeah, okay, Matt. Now I get it. 259 00:16:35,561 --> 00:16:36,995 Now I understand the cycle you're speaking of. 260 00:16:37,029 --> 00:16:41,666 I've seen them from saplings, now they reach all the way to the sky. 261 00:16:41,700 --> 00:16:45,837 It's beautiful, isn't it? First we planted them, then we thinned them. 262 00:16:45,871 --> 00:16:49,874 In the process we sequestered carbon, improved wildlife habitat, 263 00:16:49,908 --> 00:16:53,378 - it's a beautiful thing. - It is a beautiful thing. 264 00:16:54,913 --> 00:16:57,048 Now the next thing that I think we need to do 265 00:16:57,082 --> 00:17:00,785 is get you on a plane to Pittsburg to meet with George at Invention land. 266 00:17:00,819 --> 00:17:04,522 He'd love to learn more about this life cycle that you're speaking of 267 00:17:04,556 --> 00:17:06,457 and I think you should bring something for him 268 00:17:06,492 --> 00:17:08,226 because he'd love to put that in his museum. 269 00:17:08,260 --> 00:17:11,162 - [Matthew] I'd love to. - [David] Great. 270 00:17:30,616 --> 00:17:31,916 - Hey, Matt. - Hi, George. 271 00:17:31,950 --> 00:17:35,953 - What's this? - It's an Ore' Spruce, a gift for you. 272 00:17:35,988 --> 00:17:39,023 Thank you very much, Matt. I know exactly what I'll do with this. 273 00:17:39,058 --> 00:17:42,527 I'm gonna wrap a story around it, put it outside Invention land 274 00:17:42,561 --> 00:17:45,630 and we'll talking to kids about it, the future of forestry. 275 00:17:45,664 --> 00:17:47,665 - That's great. - Super. 276 00:17:47,699 --> 00:17:50,535 So how did David do out there in Oregon when he went out to see you? 277 00:17:50,569 --> 00:17:54,238 David did fantastic. We had a great opportunity taking David 278 00:17:54,273 --> 00:17:56,985 to the forest where he saw the devastation from last year's wild fires. 279 00:17:57,009 --> 00:18:00,778 And he saw what we're doing in conjunction with the Ponsse machines, 280 00:18:00,813 --> 00:18:02,880 to harvest that wood before it goes bad, 281 00:18:02,915 --> 00:18:04,749 and then heal the land before replanting it. 282 00:18:04,783 --> 00:18:07,351 Well, he also sent me this image I was hoping you could 283 00:18:07,386 --> 00:18:08,653 help me to understand this a little more. 284 00:18:08,687 --> 00:18:11,656 Could you go through the process of what I'm looking at here. 285 00:18:11,690 --> 00:18:14,559 So what we're looking at here is a diagram of the forestry life cycle. 286 00:18:14,593 --> 00:18:16,727 It starts out with the planting of the trees 287 00:18:16,762 --> 00:18:19,597 then the trees grow and then at some point in time 288 00:18:19,631 --> 00:18:22,767 foresters actively manage the forest and re-engage 289 00:18:22,801 --> 00:18:25,870 which will remove some trees, make the forest healthy 290 00:18:25,904 --> 00:18:30,074 because our end result is we're trying to target growing a big healthy forest. 291 00:18:30,109 --> 00:18:32,910 At some point in time, that forest will be harvested, 292 00:18:32,945 --> 00:18:35,613 those products will go to town to benefit society 293 00:18:35,647 --> 00:18:37,081 and the cycle will start all over again. 294 00:18:37,116 --> 00:18:40,118 Very nice. You know, it kind of reminds me of a farmer, you know, 295 00:18:40,152 --> 00:18:44,889 they clear their field, they plant seed and then they put their crops in, 296 00:18:44,923 --> 00:18:48,025 they harvest them, then they start all over the next year. 297 00:18:48,060 --> 00:18:51,562 They do. Foresters do the same just on a much longer time horizon. 298 00:18:51,597 --> 00:18:53,798 Speaking of the horizon, what's on the horizon? 299 00:18:53,832 --> 00:18:57,301 What's the future look like for forest management? 300 00:18:57,336 --> 00:18:59,303 Forest management has a bright future, 301 00:18:59,338 --> 00:19:00,671 it's gonna involve a few things 302 00:19:00,706 --> 00:19:03,508 One will be active management, the stage we talked about here 303 00:19:03,542 --> 00:19:05,610 where foresters are actively managing the forest 304 00:19:05,644 --> 00:19:08,379 to help prevent catastrophic wildfires. 305 00:19:08,413 --> 00:19:11,649 And then utilizing data and technologies 306 00:19:11,683 --> 00:19:13,751 to make decisions about what we do in the forest. 307 00:19:13,785 --> 00:19:16,154 And we're gonna use connectivity with the machines 308 00:19:16,188 --> 00:19:19,891 - and with foresters in the field to make smart decisions. - Interesting. 309 00:19:19,925 --> 00:19:22,627 So does the connectivity go all the way to the end user 310 00:19:22,661 --> 00:19:26,831 so if we were to know what the end users' needs were, 311 00:19:26,865 --> 00:19:30,601 can those needs be sent out to a forester 312 00:19:30,636 --> 00:19:35,573 and then you're actually harvesting, uh, logs to that need? 313 00:19:35,607 --> 00:19:38,442 Exactly. So what's gonna happen in the future 314 00:19:38,477 --> 00:19:40,945 is when somebody places an order to build a house 315 00:19:40,979 --> 00:19:44,148 and they need a certain amount of a certain sizes of lumber 316 00:19:44,183 --> 00:19:46,417 that information will be transmitted to the machines 317 00:19:46,451 --> 00:19:48,386 which will be doing the harvesting, 318 00:19:48,420 --> 00:19:49,687 to cut and process logs 319 00:19:49,721 --> 00:19:52,390 into the exact lengths needed to build that house. 320 00:19:52,424 --> 00:19:53,524 Well, that's exciting. 321 00:19:53,559 --> 00:19:56,127 So, this process actually looks like 322 00:19:56,161 --> 00:19:58,763 we're gonna have less forest fires in the future I hope. 323 00:19:58,797 --> 00:20:01,732 - We should. - All right, well, you know what I'm gonna do? 324 00:20:01,767 --> 00:20:05,269 I'm gonna go plant a tree, you've inspired me today, Matt. 325 00:20:05,304 --> 00:20:07,572 Well, thanks George. I gotta get back and check on the guys in Oregon 326 00:20:07,606 --> 00:20:09,340 -So I'll see you later -Safe travels. 327 00:20:09,374 --> 00:20:10,441 Thanks. 328 00:20:13,378 --> 00:20:16,280 [upbeat music playing] 329 00:20:29,595 --> 00:20:33,097 [narrator] To learn more about the content in today's episode, 330 00:20:33,131 --> 00:20:39,437 visit us online at www.tomorrowsworldtoday.com 331 00:20:39,471 --> 00:20:45,042 or find us on social, @twtexplore. 30044

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