1 00:00:08,040 --> 00:00:09,430 - [Tutor] So our final presenter 2 00:00:09,430 --> 00:00:12,460 of this contributed talk is Christopher Woodall. 3 00:00:12,460 --> 00:00:14,810 With the USDA Forest Service. 4 00:00:14,810 --> 00:00:16,817 He will be presenting, 5 00:00:16,817 --> 00:00:19,700 "Completing the Life Cycle of Trees: 6 00:00:19,700 --> 00:00:22,940 Northern Forests Dead Wood and Tree Regeneration 7 00:00:22,940 --> 00:00:26,170 in the Context of Forest Resource Assessments." 8 00:00:26,170 --> 00:00:27,520 - [Christopher] Hello, I'm Chris Woodall 9 00:00:27,520 --> 00:00:29,330 with the USDA Forest Service, 10 00:00:29,330 --> 00:00:34,330 research development in Durham, New Hampshire. 11 00:00:35,090 --> 00:00:36,450 My colleagues and I would like to share 12 00:00:36,450 --> 00:00:37,840 some emerging results we have 13 00:00:37,840 --> 00:00:40,210 in regards to assessing the dynamics of tree species 14 00:00:40,210 --> 00:00:41,610 in New England. 15 00:00:41,610 --> 00:00:44,720 Notably, tree regeneration in dead wood information 16 00:00:44,720 --> 00:00:46,923 based on recent inventories in this region. 17 00:00:50,400 --> 00:00:52,820 As an outline, I would like to provide a little bit 18 00:00:52,820 --> 00:00:56,590 of context regarding tree regeneration in New England 19 00:00:56,590 --> 00:00:59,810 bring in some information about recent inventories we have. 20 00:00:59,810 --> 00:01:01,329 Some of the details regarding those. 21 00:01:01,329 --> 00:01:03,980 Discuss some emerging results 22 00:01:03,980 --> 00:01:06,963 and next steps in this line of research. 23 00:01:09,820 --> 00:01:13,400 So as far as the context of tree regeneration, 24 00:01:13,400 --> 00:01:15,657 we can really look at our future forest 25 00:01:15,657 --> 00:01:18,840 against the backdrop of global change. 26 00:01:18,840 --> 00:01:21,690 And global change is really bringing in 27 00:01:21,690 --> 00:01:22,579 traditional stressors 28 00:01:22,579 --> 00:01:24,930 in new ones that we haven't really seen before. 29 00:01:24,930 --> 00:01:27,660 Certainly we have insects and disease. 30 00:01:27,660 --> 00:01:30,770 We have a loss of winter with climate change, 31 00:01:30,770 --> 00:01:33,180 coupled with episodic precipitation. 32 00:01:33,180 --> 00:01:35,800 We have urbanization and fragmentation, 33 00:01:35,800 --> 00:01:38,230 which can often bring in invasive species. 34 00:01:38,230 --> 00:01:40,290 We have evolving forest product markets 35 00:01:40,290 --> 00:01:43,630 are really changing what products are harvested out 36 00:01:43,630 --> 00:01:46,090 of our forest and how we can manage them. 37 00:01:46,090 --> 00:01:48,863 And certainly browse impacts. 38 00:01:48,863 --> 00:01:52,107 So regeneration analysis implicitly requires 39 00:01:52,107 --> 00:01:54,280 a greater context. 40 00:01:54,280 --> 00:01:56,230 Certainly if we have field crews, 41 00:01:56,230 --> 00:01:58,390 such as in this picture out counting seedlings 42 00:01:58,390 --> 00:02:00,060 across the landscape, 43 00:02:00,060 --> 00:02:02,390 trying to best utilize that information 44 00:02:02,390 --> 00:02:04,833 for the future is of high importance. 45 00:02:07,943 --> 00:02:12,060 There are many barriers to native tree species regeneration. 46 00:02:12,060 --> 00:02:14,930 This is just a quick lit lit review, 47 00:02:14,930 --> 00:02:17,700 going over many different factors all the way 48 00:02:17,700 --> 00:02:20,966 from mesophication over a long-term time period, 49 00:02:20,966 --> 00:02:24,350 forest conversion development, 50 00:02:24,350 --> 00:02:28,853 browse, native plant invasion, alien plant invasion, 51 00:02:29,700 --> 00:02:34,310 lack of resource management plans, degradation, et cetera. 52 00:02:34,310 --> 00:02:35,700 So there's numerous barriers 53 00:02:35,700 --> 00:02:38,653 to native species tree regeneration. 54 00:02:41,820 --> 00:02:43,160 Just starting to look at some 55 00:02:43,160 --> 00:02:45,952 of the emerging research on this topic, 56 00:02:45,952 --> 00:02:50,952 a recent study by Vickers et al really found a divergence 57 00:02:50,970 --> 00:02:53,676 between what tree species were in the canopy 58 00:02:53,676 --> 00:02:56,481 or in the overstory 59 00:02:56,481 --> 00:03:00,218 compared to the seedlings in the understory. 60 00:03:00,218 --> 00:03:02,480 So that if you had a canopy removal 61 00:03:02,480 --> 00:03:04,303 during forest management operations, 62 00:03:04,303 --> 00:03:06,950 you weren't necessarily guaranteed 63 00:03:06,950 --> 00:03:08,910 to have the same forest regenerate. 64 00:03:08,910 --> 00:03:12,467 So in parts of New England in this map, 65 00:03:12,467 --> 00:03:15,160 the Northern hardwood regions is probably that one 66 00:03:15,160 --> 00:03:17,850 that suffers the most from that kind of dynamic. 67 00:03:17,850 --> 00:03:19,630 Whereas the spruce for forest 68 00:03:19,630 --> 00:03:24,630 in the North display less attributes. 69 00:03:27,640 --> 00:03:29,090 Further context for New England. 70 00:03:29,090 --> 00:03:33,040 And that's considering the four states of Maine, Vermont, 71 00:03:33,040 --> 00:03:37,140 New Hampshire and New York looking at forest inventories 72 00:03:37,140 --> 00:03:38,990 that have been going on annually 73 00:03:38,990 --> 00:03:41,170 since the early 2000's. 74 00:03:41,170 --> 00:03:43,240 We have percentage of young forest 75 00:03:43,240 --> 00:03:45,810 that's classified by inventory crews 76 00:03:45,810 --> 00:03:50,810 decreasing from 9% in 2005 to about 3% in 2019. 77 00:03:54,380 --> 00:03:56,770 So a somewhat steep drop 78 00:03:56,770 --> 00:04:01,320 in the amount of young forest seedlings at the same time 79 00:04:01,320 --> 00:04:05,850 or having a decrease, perhaps reaching a high there 80 00:04:05,850 --> 00:04:10,270 in the late 2000s when our forest area maxed out 81 00:04:10,270 --> 00:04:12,180 across this states. 82 00:04:12,180 --> 00:04:15,050 saplings and then fairly stable with recruitment. 83 00:04:15,050 --> 00:04:18,280 So there is a fair number of seedlings across landscape, 84 00:04:18,280 --> 00:04:19,480 but the future forest 85 00:04:19,480 --> 00:04:22,533 and where it's headed is really highly context dependent. 86 00:04:25,730 --> 00:04:27,150 Relative density. 87 00:04:27,150 --> 00:04:32,150 So using self thinning metrics to determine stocking 88 00:04:33,090 --> 00:04:35,500 across these four States. 89 00:04:35,500 --> 00:04:39,620 We had 46 million acres total in the 2000s 90 00:04:39,620 --> 00:04:43,210 and most were fully stocked in terms of self thinning. 91 00:04:43,210 --> 00:04:45,590 You can have a lot of small trees and be fully stocked 92 00:04:45,590 --> 00:04:48,090 just as much as a lot of large trees. 93 00:04:48,090 --> 00:04:50,562 So size is independent 94 00:04:50,562 --> 00:04:55,280 of the stocking metrics that we're currently working on. 95 00:04:55,280 --> 00:05:00,062 But we look now in the 2000s, 2010s, 96 00:05:00,062 --> 00:05:02,340 we have a decrease of forest land area, 97 00:05:02,340 --> 00:05:05,243 which we're seeing across most states in New England, 98 00:05:06,100 --> 00:05:08,440 just a slight dip, 99 00:05:08,440 --> 00:05:11,810 but we're having a rapid increase in the amount 100 00:05:11,810 --> 00:05:16,120 of overstock conditions in terms of size density metrics 101 00:05:16,120 --> 00:05:19,310 and a little bit of a reduction in the understocked. 102 00:05:19,310 --> 00:05:23,893 So we've got fully stock forest that are starting 103 00:05:25,310 --> 00:05:27,610 to level off in terms of forest area. 104 00:05:27,610 --> 00:05:31,140 So potentially a lot of management decisions to be made 105 00:05:31,140 --> 00:05:34,543 in the near future or for our future generation. 106 00:05:36,520 --> 00:05:38,680 So a lot of the initial information was based 107 00:05:38,680 --> 00:05:41,365 off the Forest Inventory and Analysis Program 108 00:05:41,365 --> 00:05:44,961 as part of the USDA Forest Service. 109 00:05:44,961 --> 00:05:49,080 In the following results I have later on really pertained 110 00:05:49,080 --> 00:05:52,247 to this inventory where you can access this data 111 00:05:52,247 --> 00:05:56,040 via the field data link. 112 00:05:56,040 --> 00:05:59,940 And or if you to just have population estimates 113 00:05:59,940 --> 00:06:01,330 developed for you, 114 00:06:01,330 --> 00:06:04,003 you can visit this link to the right. 115 00:06:08,100 --> 00:06:12,580 So prior to 2012, forest inventories just did 116 00:06:12,580 --> 00:06:15,810 a stocking count of seedlings. 117 00:06:15,810 --> 00:06:19,720 So if they're above a certain minimum height, over a foot, 118 00:06:19,720 --> 00:06:23,420 at least a foot or so, feel crudest did account 119 00:06:23,420 --> 00:06:24,610 and didn't have a DBH. 120 00:06:24,610 --> 00:06:28,430 So DBH less than one inch, then they were just counted 121 00:06:28,430 --> 00:06:32,490 by species, but there's many different size classes 122 00:06:32,490 --> 00:06:35,280 as it were to regeneration. 123 00:06:35,280 --> 00:06:36,820 So beginning in 2012, 124 00:06:36,820 --> 00:06:40,260 across the 24 Northern states feel crews 125 00:06:40,260 --> 00:06:44,690 during the summer started measuring seedlings 126 00:06:44,690 --> 00:06:47,043 according to length classes. 127 00:06:48,030 --> 00:06:49,960 So there's six different length classes, 128 00:06:49,960 --> 00:06:54,960 which really refines our information on recruitment, 129 00:06:55,010 --> 00:06:59,470 regeneration dynamics, and of which these merging results 130 00:06:59,470 --> 00:07:04,077 I share with you, this publication GTR-148 131 00:07:05,680 --> 00:07:08,430 provides a lot of the details regarding this inventory. 132 00:07:11,410 --> 00:07:15,510 Some of the emerging information prior to this inventory, 133 00:07:15,510 --> 00:07:17,180 this has all the information we had 134 00:07:17,180 --> 00:07:22,180 about living trees in the Northeast, very useful, right? 135 00:07:23,320 --> 00:07:26,200 The size classes are inches, but you get an idea 136 00:07:26,200 --> 00:07:29,547 of the distribution of maples and oaks and birch and spruce 137 00:07:29,547 --> 00:07:31,530 far across the Northeast. 138 00:07:31,530 --> 00:07:33,530 But we didn't know about what was going on 139 00:07:33,530 --> 00:07:38,480 really about the size distribution below a DBH of one inch. 140 00:07:38,480 --> 00:07:39,720 But with this new inventory, 141 00:07:39,720 --> 00:07:42,680 we're starting to gain a perspective of what is going on 142 00:07:42,680 --> 00:07:45,233 in the understory to a higher resolution, 143 00:07:46,940 --> 00:07:48,450 which also affords the opportunity 144 00:07:48,450 --> 00:07:49,810 to link it to other components 145 00:07:49,810 --> 00:07:52,360 of the inventory system, which I'll get to shortly. 146 00:07:54,120 --> 00:07:56,690 So in context of the live trees, 147 00:07:56,690 --> 00:07:59,810 what are we seeing across these four states? 148 00:07:59,810 --> 00:08:04,520 What are the most populous, most abundant tree species 149 00:08:04,520 --> 00:08:05,370 in the understory 150 00:08:06,690 --> 00:08:09,580 for that smallest size class two to six inches? 151 00:08:09,580 --> 00:08:11,810 We're talking about an overwhelming dominance 152 00:08:11,810 --> 00:08:14,920 by red maple, followed up by sugar maple, ash, 153 00:08:14,920 --> 00:08:16,563 balsam fur, striped maple. 154 00:08:17,460 --> 00:08:20,600 And as I'll note, several times to this talk, 155 00:08:20,600 --> 00:08:22,410 just because it's very abundant 156 00:08:22,410 --> 00:08:24,790 in the smallest size class like striped maple 157 00:08:24,790 --> 00:08:27,830 that doesn't mean the silvics or its competitive strategies, 158 00:08:27,830 --> 00:08:30,370 wherever put it into the site every class, 159 00:08:30,370 --> 00:08:31,210 but it is what we have to deal with. 160 00:08:31,210 --> 00:08:34,833 And that's what we have in our understory currently. 161 00:08:37,330 --> 00:08:40,220 Looking at a larger size class for seedlings, 162 00:08:40,220 --> 00:08:44,190 so greater than five feet and less than one inch DBH, 163 00:08:44,190 --> 00:08:46,489 so less smaller than sapling, 164 00:08:46,489 --> 00:08:50,200 but one might term advanced tree regeneration 165 00:08:51,090 --> 00:08:55,700 is heavily dominated by American beech 166 00:08:55,700 --> 00:08:58,603 across this region, followed up by red maple. 167 00:08:59,840 --> 00:09:01,810 And once again, we've got sugar maples, 168 00:09:01,810 --> 00:09:04,380 striped maple and white ash in the running there 169 00:09:04,380 --> 00:09:05,503 in the top five. 170 00:09:08,370 --> 00:09:11,480 So where does that bring us to our very large trees? 171 00:09:11,480 --> 00:09:15,000 So you can see the only one that sticks around 172 00:09:15,000 --> 00:09:16,400 is sugar maple. 173 00:09:16,400 --> 00:09:20,090 Eastern white pine by far do the land use history 174 00:09:20,090 --> 00:09:24,030 and et cetera over the past a hundred plus years, 175 00:09:24,030 --> 00:09:27,603 it's the dominant large tree across New England states. 176 00:09:28,950 --> 00:09:32,310 Almost twice that, probably twice that of sugar maple 177 00:09:32,310 --> 00:09:35,053 as far as its abundance of that size. 178 00:09:45,330 --> 00:09:47,680 So where will stand development 179 00:09:47,680 --> 00:09:50,790 and global change take New England seedlings next? 180 00:09:50,790 --> 00:09:54,900 So right now, if we look at the population estimate 181 00:09:54,900 --> 00:09:58,170 based on this inventory, our smallest seedlings number 182 00:09:58,170 --> 00:10:02,720 in 170 billion, that's a lot, right? 183 00:10:02,720 --> 00:10:06,260 So next largest size 184 00:10:06,260 --> 00:10:09,840 are along this one can imagine a self-thinning trajectory 185 00:10:09,840 --> 00:10:12,690 our largest seedlings, 31 billion. 186 00:10:12,690 --> 00:10:14,010 There's tremendous amount, right? 187 00:10:14,010 --> 00:10:16,340 There's a tremendous amount of regeneration. 188 00:10:16,340 --> 00:10:18,156 Vast majority of it will never make it 189 00:10:18,156 --> 00:10:20,430 to a very large size tree. 190 00:10:20,430 --> 00:10:22,280 We started to talk about large trees. 191 00:10:23,730 --> 00:10:25,680 We're talking about 54 million 192 00:10:25,680 --> 00:10:28,160 and we kind of think backwards about this. 193 00:10:28,160 --> 00:10:32,010 These large trees really evolve from land use conversion 194 00:10:32,010 --> 00:10:33,850 et cetera, agricultural abandonment, 195 00:10:33,850 --> 00:10:36,810 well over a hundred years ago. 196 00:10:36,810 --> 00:10:40,960 So there was a different abundance 197 00:10:40,960 --> 00:10:44,282 and diversity of tree species in the understory then. 198 00:10:44,282 --> 00:10:46,850 It's probably not similar to what we have now. 199 00:10:46,850 --> 00:10:50,270 So the big question is, where will these small seedlings, 200 00:10:50,270 --> 00:10:53,350 these larger seedlings, where are they headed in the future? 201 00:10:53,350 --> 00:10:55,100 And what will those fours look like? 202 00:10:55,100 --> 00:10:58,690 Undoubtedly, they will look different than what occurred 203 00:10:58,690 --> 00:11:01,850 in the past, in the 1800s or so, 204 00:11:01,850 --> 00:11:03,620 as far as the understory and what developed 205 00:11:03,620 --> 00:11:05,993 from agricultural abandonment, et cetera. 206 00:11:08,590 --> 00:11:10,810 Another important thing that we're inventorying 207 00:11:10,810 --> 00:11:12,323 is browse impact. 208 00:11:13,760 --> 00:11:16,836 So we have five classes of browse impact 209 00:11:16,836 --> 00:11:20,650 that we assess on our inventory plots. 210 00:11:20,650 --> 00:11:22,060 Everything from very low, 211 00:11:22,060 --> 00:11:24,630 plot is inside a well-maintained enclosure. 212 00:11:24,630 --> 00:11:26,900 To moderate there's evidence there's browsing 213 00:11:26,900 --> 00:11:30,180 on the seedlings and whatever can be eaten. 214 00:11:30,180 --> 00:11:32,530 As you know, deer, they can reach up pretty high 215 00:11:32,530 --> 00:11:36,760 on a browse line or very high where it's sometimes 216 00:11:36,760 --> 00:11:40,470 just heavy repeated browsing, hardly anything. 217 00:11:40,470 --> 00:11:42,320 And the understory it's just very, very evident 218 00:11:42,320 --> 00:11:44,783 the deer are hitting a site really hard. 219 00:11:47,180 --> 00:11:48,950 Looking in some of our emerging information 220 00:11:48,950 --> 00:11:51,460 from that, we are working on regeneration dashboard. 221 00:11:51,460 --> 00:11:53,253 We hope to release fairly soon, 222 00:11:54,180 --> 00:11:57,930 but relays kind of the observations of low browse. 223 00:11:57,930 --> 00:11:59,910 So you can see on the map of New England there, 224 00:11:59,910 --> 00:12:03,030 the plot locations that are identified at low browse 225 00:12:03,030 --> 00:12:08,030 and the estimates of seedlings by those length classes, 226 00:12:08,200 --> 00:12:12,258 along with some information on our understory vegetation 227 00:12:12,258 --> 00:12:16,190 to help us understand competition in the understory 228 00:12:16,190 --> 00:12:19,830 for tree regeneration, along with distribution 229 00:12:19,830 --> 00:12:24,800 by survey units of stand size classes. 230 00:12:24,800 --> 00:12:26,630 So if you're talking about sawtimber 231 00:12:26,630 --> 00:12:29,220 or pole size classes, et cetera. 232 00:12:29,220 --> 00:12:32,960 If we look at our moderate and or high browse plots. 233 00:12:32,960 --> 00:12:34,894 You can see distribution there in the map, 234 00:12:34,894 --> 00:12:39,894 but you can see almost having in the abundance of seedlings. 235 00:12:40,120 --> 00:12:42,334 So very noticeable the effect 236 00:12:42,334 --> 00:12:47,334 that browse has on tree seedling abundance. 237 00:12:48,990 --> 00:12:51,450 Interestingly, the impact 238 00:12:51,450 --> 00:12:53,820 on understory vegetation is negligible 239 00:12:53,820 --> 00:12:55,480 in terms of shrubs and grasses 240 00:12:55,480 --> 00:12:58,930 and forbs and the tree abundance is about the same. 241 00:12:58,930 --> 00:13:02,743 So it's the seedlings that obviously are getting hit 242 00:13:02,743 --> 00:13:05,403 by browse across the region. 243 00:13:08,570 --> 00:13:11,500 So, to take a step back a bit, 244 00:13:11,500 --> 00:13:15,810 we've talked about the understory in detail 245 00:13:15,810 --> 00:13:18,050 and we have a lot more emerging research to be done 246 00:13:18,050 --> 00:13:21,070 on that and data that would be synthesized 247 00:13:21,070 --> 00:13:22,350 and remeasured in the future, 248 00:13:22,350 --> 00:13:25,710 but across time, here are forest inventories 249 00:13:25,710 --> 00:13:26,773 around the nation, 250 00:13:27,620 --> 00:13:29,453 started in the early 1900s. 251 00:13:30,290 --> 00:13:32,430 Back then all you needed was a piece 252 00:13:32,430 --> 00:13:36,100 of cardboard and write the word USDA on it, 253 00:13:36,100 --> 00:13:41,100 the acronym and jumping in your old vehicle 254 00:13:41,960 --> 00:13:43,340 and wear a suit and count trees, 255 00:13:43,340 --> 00:13:44,700 but things have changed. 256 00:13:44,700 --> 00:13:46,090 Back then, you're just really looking 257 00:13:46,090 --> 00:13:47,690 at merchantable tree attributes. 258 00:13:49,380 --> 00:13:51,030 That was the first important thing, 259 00:13:51,030 --> 00:13:53,390 stocking and merchant tree attributes. 260 00:13:53,390 --> 00:13:54,790 And then they started looking more 261 00:13:54,790 --> 00:13:59,790 about in addition to that measuring regeneration. 262 00:13:59,860 --> 00:14:02,130 And as I mentioned previously for many decades 263 00:14:02,130 --> 00:14:03,670 that was just a stocking assessment. 264 00:14:03,670 --> 00:14:08,453 Wasn't a lot of detail about size classes, et cetera. 265 00:14:09,950 --> 00:14:11,100 Coming into the 2000s, 266 00:14:11,100 --> 00:14:13,630 we started recognizing the importance of dead wood. 267 00:14:13,630 --> 00:14:15,920 So he started inventorying standing dead trees 268 00:14:15,920 --> 00:14:17,010 and down dead trees. 269 00:14:17,010 --> 00:14:21,060 And now across the North for the past eight plus years, 270 00:14:21,060 --> 00:14:23,200 we've been measuring regeneration 271 00:14:23,200 --> 00:14:26,510 in a lot more detail and things like browse. 272 00:14:26,510 --> 00:14:29,440 So we have a lot more data available 273 00:14:29,440 --> 00:14:33,880 to us to more holistically evaluate individual tree species 274 00:14:33,880 --> 00:14:35,463 in our dynamics across lands. 275 00:14:37,950 --> 00:14:39,820 So looking at downed dead woods, 276 00:14:39,820 --> 00:14:42,060 starting to look at the relationship 277 00:14:42,060 --> 00:14:45,488 or potential relationship or interaction, et cetera, 278 00:14:45,488 --> 00:14:48,810 the dynamics of live and dead and downed dead wood, 279 00:14:48,810 --> 00:14:51,460 we can look at that across US 280 00:14:51,460 --> 00:14:54,573 in terms of size class changes across time. 281 00:14:55,840 --> 00:14:57,410 So you can get downed dead wood. 282 00:14:57,410 --> 00:15:01,090 This is for the entire United States biomass change 283 00:15:01,090 --> 00:15:02,860 across the decades. 284 00:15:02,860 --> 00:15:05,550 So from 2000s to the 2010s 285 00:15:07,560 --> 00:15:09,480 by size class of pieces. 286 00:15:09,480 --> 00:15:12,110 This is downed dead wood, it's transect diameter 287 00:15:13,000 --> 00:15:14,736 but you see a shift. 288 00:15:14,736 --> 00:15:19,736 These biomass change across 170 plus Bailey's eco sections. 289 00:15:22,680 --> 00:15:27,680 So basically ecosystems across the US forest ecosystems. 290 00:15:28,080 --> 00:15:29,931 You see a shift of increasing amounts 291 00:15:29,931 --> 00:15:34,931 of smaller size dead wood, and rather stable amounts 292 00:15:35,500 --> 00:15:37,810 of the larger size, except for pulses that come 293 00:15:37,810 --> 00:15:41,073 from obvious episodic disturbances. 294 00:15:41,930 --> 00:15:43,420 But this kind of rhymes a bit 295 00:15:43,420 --> 00:15:47,940 with our finding of stocking across at least the North. 296 00:15:47,940 --> 00:15:49,620 And we're starting to see across the US 297 00:15:49,620 --> 00:15:53,890 of highly stock stands increasing in abundance, 298 00:15:53,890 --> 00:15:55,751 hence self thinning. 299 00:15:55,751 --> 00:15:58,480 Hence, you're gonna see an increase 300 00:15:58,480 --> 00:16:03,243 of smaller downed dead wood occurring in the ecosystems. 301 00:16:04,330 --> 00:16:09,330 standing dead wood, a little bit of an increase 302 00:16:09,840 --> 00:16:14,840 in the very large kind of sizes, a large amounts 303 00:16:16,300 --> 00:16:19,075 and large sizes of standing dead trees, which is indicative 304 00:16:19,075 --> 00:16:21,640 of episodic disturbance events, 305 00:16:21,640 --> 00:16:23,490 especially in these more mature stands, 306 00:16:23,490 --> 00:16:25,130 but not necessarily a shift 307 00:16:26,532 --> 00:16:29,203 of any large degree across time. 308 00:16:30,440 --> 00:16:34,090 Looking at live trees, you certainly see this 309 00:16:34,924 --> 00:16:37,420 a bit of a shift from a decrease 310 00:16:38,455 --> 00:16:42,700 in the amount of biomass change for the smallest size, 311 00:16:42,700 --> 00:16:46,257 less than 27 meters and a shift to the right 312 00:16:46,257 --> 00:16:47,820 for the largest size 313 00:16:47,820 --> 00:16:51,050 with once again, kind of is indicative 314 00:16:51,050 --> 00:16:55,460 of a maturing resource across the entire US. 315 00:16:55,460 --> 00:16:59,160 Now, we think about all this in the context of regeneration. 316 00:16:59,160 --> 00:17:00,880 It's interesting to see how we might combine 317 00:17:00,880 --> 00:17:02,580 some of this as far as the dynamics 318 00:17:02,580 --> 00:17:04,583 to really understanding what's going on. 319 00:17:10,678 --> 00:17:11,511 And we're able to do that 320 00:17:11,511 --> 00:17:15,850 by combining seedling information, 321 00:17:15,850 --> 00:17:18,350 those size classes with live tree information, 322 00:17:18,350 --> 00:17:20,860 size classes, standing dead trees 323 00:17:20,860 --> 00:17:24,380 or otherwise term snags and downed dead wood. 324 00:17:24,380 --> 00:17:26,100 Otherwise this term coarse woody debris 325 00:17:26,100 --> 00:17:27,800 for the purposes of our inventory. 326 00:17:28,910 --> 00:17:31,250 So we have a focus species here who is sugar maple, 327 00:17:31,250 --> 00:17:32,084 which is in red. 328 00:17:32,084 --> 00:17:34,560 Yeah, all other tree species on plots 329 00:17:34,560 --> 00:17:35,393 in which have occurred. 330 00:17:35,393 --> 00:17:37,980 So it's competitors across the landscape. 331 00:17:37,980 --> 00:17:40,430 So we can start to see about recruitment dynamics, 332 00:17:40,430 --> 00:17:42,870 et cetera, and the left side. 333 00:17:42,870 --> 00:17:46,980 So the Y-axis is proportion of the Stan total, 334 00:17:46,980 --> 00:17:48,470 which it occurs. 335 00:17:48,470 --> 00:17:50,340 So you can see where sugar maple, 336 00:17:50,340 --> 00:17:53,520 so this is stands where it is 50% 337 00:17:53,520 --> 00:17:56,270 or more of the live tree basal area 338 00:17:56,270 --> 00:17:57,997 certainly has more than half of the pole 339 00:17:57,997 --> 00:17:59,923 and sawtimber size trees. 340 00:18:01,040 --> 00:18:04,230 And it is dominating the seedlings, 341 00:18:04,230 --> 00:18:08,100 the smallest size seedlings, but not necessarily recruiting 342 00:18:08,100 --> 00:18:11,000 into large seedling classes nor the sapling 343 00:18:11,000 --> 00:18:14,260 as much as it is dominating the smallest seedlings 344 00:18:14,260 --> 00:18:17,300 and the pole and sawtimber size. 345 00:18:17,300 --> 00:18:19,000 As far as downed dead wood, 346 00:18:19,000 --> 00:18:21,280 there's not a lot of necessarily legacy effects 347 00:18:21,280 --> 00:18:25,920 of standard development regarding 348 00:18:25,920 --> 00:18:27,920 the standing dead and downed dead. 349 00:18:27,920 --> 00:18:29,850 So really you see this figure 350 00:18:29,850 --> 00:18:33,216 as being the relationship here between the recruitment 351 00:18:33,216 --> 00:18:37,163 on the left side and the legacy effects of this species. 352 00:18:37,163 --> 00:18:40,946 And in the kind of center of this figure, 353 00:18:40,946 --> 00:18:45,946 you have the traditional size density kind of stalking, 354 00:18:46,780 --> 00:18:49,430 kind of a assessment you're used to seeing. 355 00:18:49,430 --> 00:18:52,130 How many sampling pole, sawtimber live trees 356 00:18:52,130 --> 00:18:54,340 do you have for the species compared to others? 357 00:18:54,340 --> 00:18:56,580 We're just bringing in the other information. 358 00:18:56,580 --> 00:18:58,618 So we can like play this 359 00:18:58,618 --> 00:19:02,340 looking at all basal area, 360 00:19:02,340 --> 00:19:03,480 levels of basal area 361 00:19:03,480 --> 00:19:07,030 that sugar maple occupies across stands, 362 00:19:07,030 --> 00:19:09,920 across the entire Northern United States 363 00:19:11,120 --> 00:19:12,750 by playing it as a movie here 364 00:19:12,750 --> 00:19:14,546 where you have sugar maple basal area. 365 00:19:14,546 --> 00:19:17,810 You can see it changing from zero to a hundred percent. 366 00:19:17,810 --> 00:19:20,955 And what happens as far as changing 367 00:19:20,955 --> 00:19:25,955 across the landscape in terms of this individual species? 368 00:19:27,310 --> 00:19:29,520 So proportion of stand on total 369 00:19:29,520 --> 00:19:32,140 and this we can assess for really any species 370 00:19:32,140 --> 00:19:34,650 across landscape to understand recruitment 371 00:19:34,650 --> 00:19:37,913 and understand legacy effects and competition. 372 00:19:39,800 --> 00:19:42,643 Let that play one more second for you to watch.