1 00:00:04,800 --> 00:00:05,633 Okay, thanks. 2 00:00:05,633 --> 00:00:07,470 Great to be here and awesome to share the stage 3 00:00:07,470 --> 00:00:09,270 with Liz and Bob, that's a treat, 4 00:00:09,270 --> 00:00:11,880 and thank you for all the great work that you do. 5 00:00:11,880 --> 00:00:15,240 So I'm gonna share some research that we've been doing, 6 00:00:15,240 --> 00:00:17,100 just actually finished up a round with funding 7 00:00:17,100 --> 00:00:19,443 from Forest Ecosystem Monitoring Cooperative, 8 00:00:20,400 --> 00:00:21,450 which I'd like to share with you. 9 00:00:21,450 --> 00:00:25,200 So it's looking at parcelization trends in Vermont. 10 00:00:25,200 --> 00:00:28,320 And so there's a couple key terms to focus on. 11 00:00:28,320 --> 00:00:30,570 We're not talking about outright forest loss, 12 00:00:30,570 --> 00:00:32,970 that's estimated by the Forest Service 13 00:00:32,970 --> 00:00:34,470 through their FIA analysis. 14 00:00:34,470 --> 00:00:35,310 So like in Vermont, 15 00:00:35,310 --> 00:00:36,930 there's an estimate we're losing over 16 00:00:36,930 --> 00:00:39,750 12,000 forests outright from 17 00:00:39,750 --> 00:00:41,940 forest land conversion every year. 18 00:00:41,940 --> 00:00:43,770 Then there's sort of forest fragmentation. 19 00:00:43,770 --> 00:00:46,740 The impact of that development has on the ground, 20 00:00:46,740 --> 00:00:47,573 which you can see here, 21 00:00:47,573 --> 00:00:49,770 when the roads and the driveways and houses go in 22 00:00:49,770 --> 00:00:51,300 we have forest fragmentation. 23 00:00:51,300 --> 00:00:52,800 What we're tracking is parcelization. 24 00:00:52,800 --> 00:00:56,010 We're measuring the creation of more and more parcels 25 00:00:56,010 --> 00:00:57,690 and through the subdivision process. 26 00:00:57,690 --> 00:01:01,390 And that typically can lead to disjointed ownership 27 00:01:03,362 --> 00:01:07,620 and parcels leading to more management complications. 28 00:01:07,620 --> 00:01:09,630 How development is done on those parcels 29 00:01:09,630 --> 00:01:14,630 can impact ecological or economic integrity of the parcels 30 00:01:15,180 --> 00:01:17,223 for resource considerations. 31 00:01:19,110 --> 00:01:22,020 So we've done four rounds of this research. 32 00:01:22,020 --> 00:01:23,520 We put out multiple reports. 33 00:01:23,520 --> 00:01:25,350 I'm gonna back into a website to show you 34 00:01:25,350 --> 00:01:27,000 where you can read the reports 35 00:01:27,000 --> 00:01:30,450 based on the different years that we've analyzed. 36 00:01:30,450 --> 00:01:33,420 We've done this using Grand List in data 37 00:01:33,420 --> 00:01:36,720 that's collected by, for property tax purposes, 38 00:01:36,720 --> 00:01:39,150 but there are land use classifications 39 00:01:39,150 --> 00:01:42,960 that are part of the property tax collection process. 40 00:01:42,960 --> 00:01:44,730 And we put those into categories 41 00:01:44,730 --> 00:01:48,180 in order to see land use change on the ground 42 00:01:48,180 --> 00:01:49,230 and what's happening. 43 00:01:50,220 --> 00:01:53,180 So we really opened this up to a much larger analysis 44 00:01:53,180 --> 00:01:58,020 of the Grand List data from 2004 to 2016. 45 00:01:58,020 --> 00:02:00,810 That was kind of our phase three report that we put out. 46 00:02:00,810 --> 00:02:02,520 And then most recently what we've published 47 00:02:02,520 --> 00:02:04,830 is cleaning up the data a bit and now focusing 48 00:02:04,830 --> 00:02:09,510 on the year's 2005 to 2020 as a study period. 49 00:02:09,510 --> 00:02:12,270 I'd like to again acknowledge that this was primarily funded 50 00:02:12,270 --> 00:02:14,850 by FEMC and we had a host of partners, 51 00:02:14,850 --> 00:02:16,860 some of whom are in the room here, 52 00:02:16,860 --> 00:02:19,890 but a collaborative effort between VNRC, 53 00:02:19,890 --> 00:02:23,130 the Agency of Natural Resources, the tax department, 54 00:02:23,130 --> 00:02:26,973 people like Deb Brighton and Brian Voight, researchers, 55 00:02:27,870 --> 00:02:29,550 Vermont Center for Geographic Information 56 00:02:29,550 --> 00:02:30,693 and folks from UVM. 57 00:02:31,650 --> 00:02:34,650 And there is a executive summary that's available, 58 00:02:34,650 --> 00:02:37,620 which I'll show you about in a minute. 59 00:02:37,620 --> 00:02:40,770 So getting to the trends themselves. 60 00:02:40,770 --> 00:02:42,810 So in Vermont, 61 00:02:42,810 --> 00:02:45,750 I guess like this data I look at is like, kind of depends. 62 00:02:45,750 --> 00:02:48,240 If you look at the cup is half full or half empty 63 00:02:48,240 --> 00:02:51,510 and I would say like the cup being half full side of it 64 00:02:51,510 --> 00:02:53,460 is that we still have a lot of land in Vermont 65 00:02:53,460 --> 00:02:55,473 that's represented in large parcels. 66 00:02:56,370 --> 00:02:59,580 So 50 acres was kind of an arbitrary delineation we made 67 00:02:59,580 --> 00:03:01,890 just to say "What's a large parcel?" 68 00:03:01,890 --> 00:03:02,723 And you know, 69 00:03:02,723 --> 00:03:05,340 over 70% of the privately owned acreage in Vermont 70 00:03:05,340 --> 00:03:07,920 is represented in parcels over 50 acres. 71 00:03:07,920 --> 00:03:12,000 So still a lot of opportunity to maintain intact parcels. 72 00:03:12,000 --> 00:03:14,310 Again, this is focusing on private land. 73 00:03:14,310 --> 00:03:15,810 That's what the Grand List calculates. 74 00:03:15,810 --> 00:03:18,063 We're not looking at public land trends. 75 00:03:21,390 --> 00:03:24,240 Cup half empty or trending towards that 76 00:03:24,240 --> 00:03:26,550 is based on the classifications. 77 00:03:26,550 --> 00:03:29,730 Woodland, which is undeveloped forest land is, 78 00:03:29,730 --> 00:03:33,390 we're seeing a pretty rapid decline in representation. 79 00:03:33,390 --> 00:03:35,730 This does not mean the forest land is gone, 80 00:03:35,730 --> 00:03:38,040 it just means that it's been reclassified. 81 00:03:38,040 --> 00:03:40,380 It means there's been a dwelling, a house, 82 00:03:40,380 --> 00:03:42,120 that's been put on that parcel 83 00:03:42,120 --> 00:03:45,390 and it's no longer considered to be undeveloped woodland. 84 00:03:45,390 --> 00:03:47,670 And then over time we know that there can be impacts 85 00:03:47,670 --> 00:03:50,520 as that development occurs on the landscape 86 00:03:50,520 --> 00:03:52,560 and how it occurs, you know, really matters. 87 00:03:52,560 --> 00:03:56,700 We're losing farmland too,raw sort of bulk farmland, 88 00:03:56,700 --> 00:03:59,790 and we're seeing the residential category increasing. 89 00:03:59,790 --> 00:04:02,820 And we measured this and we saw, you know, 90 00:04:02,820 --> 00:04:07,820 over a 19% decrease in woodland over this 15% time period. 91 00:04:09,150 --> 00:04:11,070 I do wanna say that some of that 92 00:04:11,070 --> 00:04:14,100 is land going into public ownership, which is, you know, 93 00:04:14,100 --> 00:04:16,980 a good trend from a fragmentation perspective 94 00:04:16,980 --> 00:04:18,723 or an ecological perspective. 95 00:04:20,160 --> 00:04:22,530 How much we weren't quite able to tease out 96 00:04:22,530 --> 00:04:24,870 but we are confident as a team 97 00:04:24,870 --> 00:04:27,660 that it's not an overwhelming amount. 98 00:04:27,660 --> 00:04:29,766 You know, we could focus on it being 99 00:04:29,766 --> 00:04:33,030 a certain percentage of it, but it's not. 100 00:04:33,030 --> 00:04:35,943 The overwhelming dynamic is that, 101 00:04:37,380 --> 00:04:39,090 and maybe I'll show this one to you first, 102 00:04:39,090 --> 00:04:40,680 is that there's a really strong correlation 103 00:04:40,680 --> 00:04:42,810 to the uptick in residential category 104 00:04:42,810 --> 00:04:44,340 and the decline in woodland. 105 00:04:44,340 --> 00:04:47,730 Okay, so we were able to find an association there. 106 00:04:47,730 --> 00:04:48,930 I'll just go back to this slide 107 00:04:48,930 --> 00:04:52,950 because this really just gives you the acreage numbers 108 00:04:52,950 --> 00:04:55,530 so you can see sort of where we're at in these categories. 109 00:04:55,530 --> 00:04:57,600 This is a very general way of looking at 110 00:04:57,600 --> 00:05:00,090 some key categories, Residential, Woodland, Farmland, 111 00:05:00,090 --> 00:05:01,740 and then Other which has a lot of different 112 00:05:01,740 --> 00:05:04,353 miscellaneous sort of categories in it. 113 00:05:07,290 --> 00:05:08,880 But then we looked at large parcels too 114 00:05:08,880 --> 00:05:10,200 and the trends were the same. 115 00:05:10,200 --> 00:05:12,510 So we saw really the woodland category 116 00:05:12,510 --> 00:05:16,770 going down noticeably for large parcels as well. 117 00:05:16,770 --> 00:05:18,660 So, similar trend whether we look at 118 00:05:18,660 --> 00:05:21,453 all parcels or the larger parcels. 119 00:05:22,710 --> 00:05:24,450 Farmland going down too, 120 00:05:24,450 --> 00:05:26,760 and we measure this over a period of time 121 00:05:26,760 --> 00:05:29,403 so you can see where there's been more pressure. 122 00:05:30,990 --> 00:05:33,150 This just gives you kind of the representation 123 00:05:33,150 --> 00:05:35,880 of these categories in Vermont. 124 00:05:35,880 --> 00:05:39,600 And so, you know, residential actually has the most acreage 125 00:05:39,600 --> 00:05:42,303 associated with it across these categories. 126 00:05:43,800 --> 00:05:45,720 And so that doesn't mean the land again 127 00:05:45,720 --> 00:05:46,920 is just all residential. 128 00:05:46,920 --> 00:05:49,530 It's again the classification that the listers use. 129 00:05:49,530 --> 00:05:51,150 But what this can show you is that 130 00:05:51,150 --> 00:05:53,130 over this 15 year period 131 00:05:53,130 --> 00:05:55,290 we saw a noticeable decline in the percentage 132 00:05:55,290 --> 00:05:58,020 of undeveloped woodland that's represented in the state. 133 00:05:58,020 --> 00:06:01,800 For example, 25.6% in 2005 134 00:06:01,800 --> 00:06:05,700 now down to, getting close to to 21%. 135 00:06:05,700 --> 00:06:07,110 So, you know, if we do the math 136 00:06:07,110 --> 00:06:10,050 and we keep on on this trend every 15 years, 137 00:06:10,050 --> 00:06:11,460 at some point we're gonna start 138 00:06:11,460 --> 00:06:13,923 to run up against some really concerning trends. 139 00:06:16,320 --> 00:06:19,890 And then we looked at sort of the woodland category 140 00:06:19,890 --> 00:06:22,650 and we looked at it across the counties for example. 141 00:06:22,650 --> 00:06:24,270 And I think there were at least like four counties 142 00:06:24,270 --> 00:06:28,200 that had a 30% or higher decrease across a 15 year period. 143 00:06:28,200 --> 00:06:31,200 So then we start like in certain geographic areas, 144 00:06:31,200 --> 00:06:34,530 we're really seeing a noticeable change. 145 00:06:34,530 --> 00:06:36,390 And so what that means just on the landscape 146 00:06:36,390 --> 00:06:37,418 could be sort of a different examination, 147 00:06:37,418 --> 00:06:39,720 a spatial examination. 148 00:06:39,720 --> 00:06:41,320 This is sort of just aggregating 149 00:06:43,816 --> 00:06:47,013 the numbers from the Grand List. 150 00:06:47,850 --> 00:06:50,040 Okay, so then acreage, where's the acreage? 151 00:06:50,040 --> 00:06:51,300 There's still a lot of acreage 152 00:06:51,300 --> 00:06:53,820 as I told you before, in large parcels, 153 00:06:53,820 --> 00:06:55,920 this is just breaking it down into some 154 00:06:55,920 --> 00:06:59,220 different categories for you to consider here. 155 00:06:59,220 --> 00:07:00,330 So there's still, as you can see, 156 00:07:00,330 --> 00:07:03,060 a lot of the acreage in the larger parcels. 157 00:07:03,060 --> 00:07:05,430 But that's starting to decline as we would expect 158 00:07:05,430 --> 00:07:06,930 from parcelization and subdivision 159 00:07:06,930 --> 00:07:09,270 and we're replacing it where we see the uptick 160 00:07:09,270 --> 00:07:11,343 in the smaller parcels. 161 00:07:15,060 --> 00:07:18,000 And then, so it's interesting to see, you know, 162 00:07:18,000 --> 00:07:20,310 that the number of parcels in the two to five acre 163 00:07:20,310 --> 00:07:23,760 or five to 10 acre size category, 164 00:07:23,760 --> 00:07:25,920 that's where we saw really like the fastest growth. 165 00:07:25,920 --> 00:07:27,060 And that could be, 'cause that's like 166 00:07:27,060 --> 00:07:30,660 minimum lot sizes in zoning, you know? 167 00:07:30,660 --> 00:07:33,930 A certain, and there's a lot of conversations 168 00:07:33,930 --> 00:07:36,240 happening in the state right now with the housing crisis 169 00:07:36,240 --> 00:07:37,800 is how do we create more density 170 00:07:37,800 --> 00:07:39,630 and how do we create smaller lots? 171 00:07:39,630 --> 00:07:43,530 And some towns have higher lot, you know, 172 00:07:43,530 --> 00:07:45,210 minimum lot requirement 173 00:07:45,210 --> 00:07:47,640 and lots of conversations about "Is that a good thing?" 174 00:07:47,640 --> 00:07:48,870 'Cause we want large parcels 175 00:07:48,870 --> 00:07:50,520 to be enrolled in current use for example. 176 00:07:50,520 --> 00:07:52,290 But then if that's the minimum lot size 177 00:07:52,290 --> 00:07:54,720 and we keep on doing that at, 178 00:07:54,720 --> 00:07:58,620 you know, 25 acres over time then 179 00:07:58,620 --> 00:08:00,240 are we having the density that we want? 180 00:08:00,240 --> 00:08:03,150 So that's a whole other tangent we can go off on. 181 00:08:03,150 --> 00:08:04,500 But it's just interesting to quantify 182 00:08:04,500 --> 00:08:06,000 where we're seeing the growth. 183 00:08:07,110 --> 00:08:08,160 And this was really interesting 184 00:08:08,160 --> 00:08:09,990 'cause we were able to quantify that 185 00:08:09,990 --> 00:08:12,940 parcels less than 50 acres in size 186 00:08:13,860 --> 00:08:16,950 increased over 19,612 parcels 187 00:08:16,950 --> 00:08:20,280 that had a new dwelling on them over the study period. 188 00:08:20,280 --> 00:08:22,140 This is really interesting 'cause we have, 189 00:08:22,140 --> 00:08:23,190 we have a narrative in Vermont 190 00:08:23,190 --> 00:08:24,870 that we don't have population growth. 191 00:08:24,870 --> 00:08:26,670 We did see some during COVID, 192 00:08:26,670 --> 00:08:29,100 we saw in migration happening from Covid, 193 00:08:29,100 --> 00:08:31,290 some climate migration happening 194 00:08:31,290 --> 00:08:32,910 and that was a noticeable uptick 195 00:08:32,910 --> 00:08:35,250 which maybe is starting to level off now. 196 00:08:35,250 --> 00:08:37,583 But in general we don't have population growth. 197 00:08:39,960 --> 00:08:41,940 We do have second home development. 198 00:08:41,940 --> 00:08:44,910 We do have homes being built in Vermont. 199 00:08:44,910 --> 00:08:47,430 Not enough. We do have a housing crisis. 200 00:08:47,430 --> 00:08:48,840 But I think this is just really interesting 201 00:08:48,840 --> 00:08:49,830 when you look at the numbers 202 00:08:49,830 --> 00:08:51,630 that we do have through subdivision, 203 00:08:51,630 --> 00:08:53,973 we do have new dwellings going in on the land. 204 00:08:56,280 --> 00:08:57,113 Okay, so what we, 205 00:08:57,113 --> 00:08:58,440 the sort of like the holy grail 206 00:08:58,440 --> 00:08:59,790 that we've been chasing for a long time 207 00:08:59,790 --> 00:09:01,320 is how do we actually take this data 208 00:09:01,320 --> 00:09:04,230 and look at it spatially too so that we can understand 209 00:09:04,230 --> 00:09:07,590 are the subdivisions happening in the right locations, 210 00:09:07,590 --> 00:09:09,060 or where are they happening? 211 00:09:09,060 --> 00:09:10,530 And so working with Deb Brighton, 212 00:09:10,530 --> 00:09:13,890 she had the idea that we can actually look at 213 00:09:13,890 --> 00:09:16,380 property transfer tax returns 214 00:09:16,380 --> 00:09:19,230 as a better way to actually link up spatially 215 00:09:19,230 --> 00:09:20,700 where these parcels are located. 216 00:09:20,700 --> 00:09:23,040 Now that we have digital parcel maps in the state, 217 00:09:23,040 --> 00:09:24,720 the tax department's been working with us 218 00:09:24,720 --> 00:09:27,510 to actually improve the integration of that 219 00:09:27,510 --> 00:09:28,860 as a new data tool. 220 00:09:28,860 --> 00:09:31,140 We did a case study in Addison County. 221 00:09:31,140 --> 00:09:32,460 We looked at a three year period, 222 00:09:32,460 --> 00:09:35,970 we were able to map where the subdivisions occurred, okay? 223 00:09:35,970 --> 00:09:39,903 And out of 18,000 parcels, more and more, 224 00:09:41,580 --> 00:09:44,250 there were 125 parcels were subdivided 225 00:09:44,250 --> 00:09:46,740 over a three year period, okay? 226 00:09:46,740 --> 00:09:48,540 This shows the location of them. 227 00:09:48,540 --> 00:09:52,390 And then we overlaid that with the regional planning map 228 00:09:54,960 --> 00:09:57,240 and we were able to kind of look at 229 00:09:57,240 --> 00:09:59,460 the designated land uses. 230 00:09:59,460 --> 00:10:02,070 And I think about 68% of the subdivisions 231 00:10:02,070 --> 00:10:04,140 were in areas that were considered either 232 00:10:04,140 --> 00:10:07,530 conservation or rural or agricultural lands. 233 00:10:07,530 --> 00:10:08,363 Okay? 234 00:10:08,363 --> 00:10:10,020 So the overwhelming majority of the subdivisions 235 00:10:10,020 --> 00:10:13,950 are in zones that are really for more resource management 236 00:10:13,950 --> 00:10:18,180 or conservation than where we want our concentrated growth. 237 00:10:18,180 --> 00:10:20,640 Then we overlaid it with the forest block analysis 238 00:10:20,640 --> 00:10:23,130 that the Agency of Natural Resources has done. 239 00:10:23,130 --> 00:10:25,320 Anybody wanna throw out a guess on how many of these 240 00:10:25,320 --> 00:10:27,270 parcels or subdivisions were in 241 00:10:27,270 --> 00:10:29,823 intact forest blocks or intersecting? 242 00:10:30,809 --> 00:10:31,642 [Man] 98. 243 00:10:31,642 --> 00:10:32,760 [Jamey] 98? 244 00:10:32,760 --> 00:10:34,023 You're close. 245 00:10:35,880 --> 00:10:36,843 Any other guesses? 246 00:10:38,250 --> 00:10:42,343 -I guess I gave it away there. -(people laughing) 247 00:10:43,980 --> 00:10:45,593 91%. 248 00:10:47,760 --> 00:10:50,550 So, I don't need to tell you all 249 00:10:50,550 --> 00:10:53,010 the concern about this from a trend 250 00:10:53,010 --> 00:10:54,750 and we all know why this is happening 251 00:10:54,750 --> 00:10:59,750 and why people want to live in our forest areas. 252 00:10:59,820 --> 00:11:01,530 It's an attractive place to be 253 00:11:01,530 --> 00:11:03,363 subdividing and building homes. 254 00:11:04,440 --> 00:11:06,450 Okay, so I wanna take a couple minutes 255 00:11:06,450 --> 00:11:08,820 just to then back into the parcelization tools, 256 00:11:08,820 --> 00:11:11,220 which allows you a way to analyze the data 257 00:11:11,220 --> 00:11:14,553 that's in here and show you where you can find the reports. 258 00:11:20,460 --> 00:11:21,293 Okay, great. 259 00:11:21,293 --> 00:11:22,560 So this is, this is available, 260 00:11:22,560 --> 00:11:24,150 if you just go to VNRCs website 261 00:11:24,150 --> 00:11:26,370 and you go to the Forest and Wildlife program page, 262 00:11:26,370 --> 00:11:28,720 you can back into the parcelization website 263 00:11:29,610 --> 00:11:34,610 or it's vtforesttrends.vnrcorg/home. 264 00:11:34,950 --> 00:11:36,900 Recommend you just go to VNRC website 265 00:11:36,900 --> 00:11:39,057 or Google "Vermont Parcelization". 266 00:11:39,960 --> 00:11:41,400 So what we have is our homepage 267 00:11:41,400 --> 00:11:43,800 and then we have a tool called the Data Explorer 268 00:11:45,240 --> 00:11:50,240 and VCGI Steve Sharp helped us to design this. 269 00:11:50,340 --> 00:11:51,630 And what this allows you to do 270 00:11:51,630 --> 00:11:54,750 is examine the data by toggling different years 271 00:11:54,750 --> 00:11:56,460 that you may be interested in looking at. 272 00:11:56,460 --> 00:11:58,830 So what I'm gonna do right now is I'm gonna say 273 00:11:58,830 --> 00:12:00,570 I'm interested in the whole study period. 274 00:12:00,570 --> 00:12:03,450 I'm gonna back out 2016, 275 00:12:03,450 --> 00:12:07,650 I'm gonna look statewide across Vermont 276 00:12:07,650 --> 00:12:10,260 and I'm going to, 277 00:12:10,260 --> 00:12:12,150 so you have different options here. 278 00:12:12,150 --> 00:12:13,997 You can look at the change in parcel size 279 00:12:13,997 --> 00:12:17,730 or the parcels that have dwellings. 280 00:12:17,730 --> 00:12:20,913 I'm gonna look at acres and parcels by type. 281 00:12:23,070 --> 00:12:23,903 Okay. 282 00:12:23,903 --> 00:12:25,740 And here's the trends that we are looking at 283 00:12:25,740 --> 00:12:28,500 or talking about at a broad scale. 284 00:12:28,500 --> 00:12:29,730 Okay. 285 00:12:29,730 --> 00:12:31,860 But then you could look at it at the county level, 286 00:12:31,860 --> 00:12:33,240 the town level if you're doing 287 00:12:33,240 --> 00:12:35,580 some work in a certain region. 288 00:12:35,580 --> 00:12:36,990 And then I'm just gonna show you that 289 00:12:36,990 --> 00:12:38,460 there's different ways to explore, 290 00:12:38,460 --> 00:12:40,560 like percent change over time 291 00:12:40,560 --> 00:12:42,360 if that's what you're interested in. 292 00:12:42,360 --> 00:12:43,590 And again, you can toggle through 293 00:12:43,590 --> 00:12:46,740 different geographic regions in different years. 294 00:12:46,740 --> 00:12:49,120 You can explore the metrics 295 00:12:51,750 --> 00:12:53,463 by year and geography. 296 00:12:56,100 --> 00:12:58,717 And then we have a final tool here, 297 00:12:58,717 --> 00:13:00,780 "Explore change over time through a line graph". 298 00:13:00,780 --> 00:13:03,990 So just lots of different ways to look at the data. 299 00:13:03,990 --> 00:13:05,910 Then if you're interested in reading the reports 300 00:13:05,910 --> 00:13:07,800 where we've analyzed what all this means 301 00:13:07,800 --> 00:13:09,060 and what the trends are showing us 302 00:13:09,060 --> 00:13:11,850 and if you're interested in seeing the recommendations, 303 00:13:11,850 --> 00:13:14,250 the land use policy recommendations, 304 00:13:14,250 --> 00:13:15,900 the data management recommendations 305 00:13:15,900 --> 00:13:18,600 we're making around parcelization 306 00:13:18,600 --> 00:13:20,670 and studying parcelization. 307 00:13:20,670 --> 00:13:23,940 The most recent executive summary is available right here 308 00:13:23,940 --> 00:13:26,640 that analyzes the most recent data we have. 309 00:13:26,640 --> 00:13:29,310 And then you can see that there's a number of other 310 00:13:29,310 --> 00:13:31,413 of our previous reports in here. 311 00:13:33,180 --> 00:13:34,780 And then you could also 312 00:13:36,720 --> 00:13:38,580 very quickly just let you know that we have 313 00:13:38,580 --> 00:13:40,500 a webinar you could watch, 314 00:13:40,500 --> 00:13:42,570 which kind of talks about this more. 315 00:13:42,570 --> 00:13:44,538 And then if you're interested in actually 316 00:13:44,538 --> 00:13:47,340 downloading the raw data and using it, 317 00:13:47,340 --> 00:13:49,380 we've made that available as well. 318 00:13:49,380 --> 00:13:52,680 And then if you wanna find out more about the project, 319 00:13:52,680 --> 00:13:54,690 you can go to the About page. 320 00:13:54,690 --> 00:13:57,000 So with that, I think my time is up, 321 00:13:57,000 --> 00:14:00,288 and be happy to take any questions. 322 00:14:00,288 --> 00:14:03,455 (audience applauding) 323 00:14:06,450 --> 00:14:08,430 -Chris, -(indistinct speech) 324 00:14:08,430 --> 00:14:10,110 thank you for raising this Chris. 325 00:14:10,110 --> 00:14:13,410 And just let folks know that the phase two study that we did 326 00:14:13,410 --> 00:14:14,430 that's available up here, 327 00:14:14,430 --> 00:14:17,340 we actually combed through like, 22 case study towns, 328 00:14:17,340 --> 00:14:19,590 reviewed their subdivision regulations 329 00:14:19,590 --> 00:14:22,800 and we looked at whether the amount of subdivisions 330 00:14:22,800 --> 00:14:25,860 were triggering Act 250, and as an exercise, 331 00:14:25,860 --> 00:14:28,440 1% of the subdivisions, 332 00:14:28,440 --> 00:14:31,530 and there were a lot of subdivisions that we measured 333 00:14:31,530 --> 00:14:35,320 were large enough to trigger Act 250, and another 1%... 334 00:14:36,720 --> 00:14:38,520 You know, overall maybe 10% of the acreage 335 00:14:38,520 --> 00:14:41,250 was still under some kind of continuing jurisdiction. 336 00:14:41,250 --> 00:14:42,960 There had been a large project, 337 00:14:42,960 --> 00:14:45,570 but subdivisions in Vermont are not being designed 338 00:14:45,570 --> 00:14:46,950 to trigger Act 250 right now. 339 00:14:46,950 --> 00:14:50,850 In fact, most people develop to not trigger Act 250. 340 00:14:50,850 --> 00:14:53,610 So there are a lot of conversations right now happening 341 00:14:53,610 --> 00:14:56,343 about the fact that, 342 00:14:57,240 --> 00:14:59,340 we're not, Act 250 really isn't playing a role 343 00:14:59,340 --> 00:15:01,200 in looking at subdivisions and yet our, 344 00:15:01,200 --> 00:15:03,840 we've got this sprawl happening in our forest lands 345 00:15:03,840 --> 00:15:06,630 and we need to have some kind of functioning criteria 346 00:15:06,630 --> 00:15:09,300 for forest to do good site design in forest. 347 00:15:09,300 --> 00:15:11,070 And we'll see there's gonna be a big 348 00:15:11,070 --> 00:15:13,620 effort attention this year to try and overhaul 349 00:15:13,620 --> 00:15:15,600 and comprehensively reform Act 250. 350 00:15:15,600 --> 00:15:18,570 And personally I hope that 351 00:15:18,570 --> 00:15:21,420 fragmentation criteria that's passed the legislature 352 00:15:21,420 --> 00:15:23,460 three times but hasn't become law yet, 353 00:15:23,460 --> 00:15:27,870 can magically make it across the finish line this year. 354 00:15:27,870 --> 00:15:31,170 But we're also looking at ways to streamline Act 250 355 00:15:31,170 --> 00:15:34,830 where we wanna have designated growth and not make it easier 356 00:15:34,830 --> 00:15:37,443 to incentivize development in the right locations. 357 00:15:39,210 --> 00:15:40,233 Any other questions? 358 00:15:45,900 --> 00:15:47,947 Thank you. Thank you for having me. 359 00:15:47,947 --> 00:15:51,197 (audience applauding)