1 00:00:13,230 --> 00:00:15,390 - Yes, I got it. 2 00:00:15,390 --> 00:00:18,163 I am the Principal Investigator of the FEMC, 3 00:00:19,957 --> 00:00:23,720 and I know we have fabulous presentations 4 00:00:23,720 --> 00:00:24,990 at these conferences every year, 5 00:00:24,990 --> 00:00:28,030 but I really do appreciate your willingness 6 00:00:28,030 --> 00:00:31,640 to come into one of these working sessions with us, 7 00:00:31,640 --> 00:00:34,380 and I feel like this is really where 8 00:00:34,380 --> 00:00:38,760 we're able to have sort of a tangible amount of time 9 00:00:38,760 --> 00:00:40,340 to be able to work on moving forward 10 00:00:40,340 --> 00:00:41,470 some of the efforts that we have. 11 00:00:41,470 --> 00:00:43,840 So, this working session 12 00:00:43,840 --> 00:00:46,560 is about the Northeastern Forest Inventory Network. 13 00:00:46,560 --> 00:00:49,120 So, this work actually began 14 00:00:49,120 --> 00:00:51,410 as an FEMC project. 15 00:00:51,410 --> 00:00:53,350 We were tasked with looking 16 00:00:53,350 --> 00:00:56,200 at continuous forest inventory data 17 00:00:56,200 --> 00:00:58,900 from across the region and comparing the methods, 18 00:00:58,900 --> 00:01:01,710 so what were the plot layouts, 19 00:01:01,710 --> 00:01:04,360 what were the metrics that were collected, 20 00:01:04,360 --> 00:01:06,170 how many could we identify, 21 00:01:06,170 --> 00:01:09,380 and really just looking to see what types of questions 22 00:01:09,380 --> 00:01:11,780 we might be able to answer with these. 23 00:01:11,780 --> 00:01:14,450 And that work really spurred us 24 00:01:14,450 --> 00:01:17,620 to think about how this could really be 25 00:01:17,620 --> 00:01:21,090 an amazingly rich resource for all of us across the region, 26 00:01:21,090 --> 00:01:23,900 to have access to a larger set 27 00:01:23,900 --> 00:01:27,220 of continuous forest inventory data. 28 00:01:27,220 --> 00:01:30,160 And so, we, FEMC staff, got together 29 00:01:30,160 --> 00:01:32,673 with Tony D'Amato and Aaron Weisskittel, 30 00:01:33,690 --> 00:01:36,730 brought on Soren Donisvitch as a graduate student 31 00:01:36,730 --> 00:01:41,530 to think about how we might build off of what we had started 32 00:01:41,530 --> 00:01:43,700 as that smaller FEMC project, 33 00:01:43,700 --> 00:01:46,920 and the justification that we used, 34 00:01:46,920 --> 00:01:49,960 and I'm going to try and advance my slide here. 35 00:01:49,960 --> 00:01:52,130 Tell me you can see the next slide? 36 00:01:52,130 --> 00:01:55,250 Okay, the justification that we used is that, yes, 37 00:01:55,250 --> 00:01:59,040 there is a lot of forest inventory data out there, 38 00:01:59,040 --> 00:02:00,530 but particularly in the Northeast, 39 00:02:00,530 --> 00:02:02,430 our forests are really complex, 40 00:02:02,430 --> 00:02:04,560 complex in terms of land use history, 41 00:02:04,560 --> 00:02:06,580 in terms of ownership patterns, 42 00:02:06,580 --> 00:02:08,800 in terms of management approaches, 43 00:02:08,800 --> 00:02:11,100 in terms of species composition, 44 00:02:11,100 --> 00:02:13,420 environmental conditions, disturbance patterns, 45 00:02:13,420 --> 00:02:15,760 and so the inventory data really does need 46 00:02:15,760 --> 00:02:17,920 to reflect that complexity. 47 00:02:17,920 --> 00:02:21,460 And it doesn't really seem that any one dataset 48 00:02:21,460 --> 00:02:24,210 is able to capture both the spatial 49 00:02:24,210 --> 00:02:26,230 and temporal resolution that we need 50 00:02:26,230 --> 00:02:28,480 to really be able to understand 51 00:02:28,480 --> 00:02:31,630 both the historical patterns within our forest, 52 00:02:31,630 --> 00:02:33,170 but also then use that information 53 00:02:33,170 --> 00:02:36,370 to project forest change into the future. 54 00:02:36,370 --> 00:02:39,270 And so, what we found in that initial project 55 00:02:39,270 --> 00:02:41,160 is that there really are a lot of people out there 56 00:02:41,160 --> 00:02:44,070 collecting great inventory data, 57 00:02:44,070 --> 00:02:47,560 but a lot of these datasets sit somewhere isolated 58 00:02:47,560 --> 00:02:50,620 and perhaps are only used by the people who collected them. 59 00:02:50,620 --> 00:02:54,500 And so, we argued that if we could aggregate 60 00:02:54,500 --> 00:02:58,500 this information and standardize these different datasets, 61 00:02:58,500 --> 00:03:00,920 and then build a tool that people could use 62 00:03:00,920 --> 00:03:04,320 to easily access and continue to add to those datasets, 63 00:03:04,320 --> 00:03:06,440 that this would be really critical 64 00:03:06,440 --> 00:03:10,850 to help inform forest management in a changing environment. 65 00:03:10,850 --> 00:03:15,850 So, we were fortunate that the USDA did agree to fund that, 66 00:03:16,100 --> 00:03:18,300 and there were three primary objectives. 67 00:03:18,300 --> 00:03:20,440 The first was just to gather that data. 68 00:03:20,440 --> 00:03:23,050 So, can we go out there, find more datasets? 69 00:03:23,050 --> 00:03:25,100 Figured out if we can find an efficient way 70 00:03:25,100 --> 00:03:27,750 to standardize those so that they can be aggregated, 71 00:03:27,750 --> 00:03:30,410 you can search or extract data 72 00:03:30,410 --> 00:03:33,360 beyond just pulling out the individual projects. 73 00:03:33,360 --> 00:03:36,950 Can we build a tool that makes that access easy 74 00:03:36,950 --> 00:03:39,490 and makes that data discoverable? 75 00:03:39,490 --> 00:03:41,990 And also, thinking about how to make this something 76 00:03:41,990 --> 00:03:44,300 that's dynamic, that can continue to be updated 77 00:03:44,300 --> 00:03:45,550 and isn't static. 78 00:03:45,550 --> 00:03:48,070 So, that was the first objective, 79 00:03:48,070 --> 00:03:50,940 but the second objective was to actually start 80 00:03:50,940 --> 00:03:52,080 to use that data. 81 00:03:52,080 --> 00:03:56,490 So, could we demonstrate how this aggregated information 82 00:03:56,490 --> 00:03:59,200 might be of use to the forest community, 83 00:03:59,200 --> 00:04:02,780 and in particular comparing how just having 84 00:04:02,780 --> 00:04:04,800 any one of these in isolation, 85 00:04:04,800 --> 00:04:08,070 what can that tell you versus what additional information 86 00:04:08,070 --> 00:04:10,930 are you able to get only from that aggregation, 87 00:04:10,930 --> 00:04:13,690 so sort of thinking about the benefit, 88 00:04:13,690 --> 00:04:17,770 is there really a tangible benefit to aggregating this? 89 00:04:17,770 --> 00:04:19,960 And then, the third objective 90 00:04:19,960 --> 00:04:22,430 was to do what we're doing right now 91 00:04:22,430 --> 00:04:24,030 and try to bring people together, 92 00:04:24,030 --> 00:04:28,040 both from the contributor side, people who are collecting, 93 00:04:28,040 --> 00:04:31,100 actively collecting forest inventory data, 94 00:04:31,100 --> 00:04:34,040 but also users, potential users 95 00:04:34,040 --> 00:04:37,190 to expand access to this data and information 96 00:04:37,190 --> 00:04:40,280 and really build a more engaged, 97 00:04:40,280 --> 00:04:42,650 collaborative network so that we can answer 98 00:04:42,650 --> 00:04:45,150 a lot of the questions that are still outstanding. 99 00:04:46,110 --> 00:04:48,860 So, that's sort of the project as a whole. 100 00:04:48,860 --> 00:04:51,670 For this workshop in particular, 101 00:04:51,670 --> 00:04:53,870 we really wanted to spend a little bit of time 102 00:04:53,870 --> 00:04:56,980 just making you aware of the work that we have done already, 103 00:04:56,980 --> 00:05:00,360 what datasets we have, what those datasets look like, 104 00:05:00,360 --> 00:05:03,017 what the tool, the web portal, looks like, 105 00:05:03,017 --> 00:05:05,030 and the functionality of that, 106 00:05:05,030 --> 00:05:07,300 but then, we really want to take the time to get feedback 107 00:05:07,300 --> 00:05:10,610 from you about what the current sort of opportunities 108 00:05:10,610 --> 00:05:15,300 and barriers are to really using forest inventory data 109 00:05:15,300 --> 00:05:18,200 to inform forest management, 110 00:05:18,200 --> 00:05:20,620 and then, also, to identify 111 00:05:20,620 --> 00:05:22,620 a potential use case 112 00:05:22,620 --> 00:05:26,020 that we could analyze as an example 113 00:05:26,020 --> 00:05:27,980 of the utility of this dataset. 114 00:05:27,980 --> 00:05:31,260 So, that's sort of what we're going to be doing here today, 115 00:05:31,260 --> 00:05:35,310 and the first part of that is really just to talk 116 00:05:35,310 --> 00:05:37,870 about the data that we have already aggregated. 117 00:05:37,870 --> 00:05:42,390 And so, I am going to pass that over to Soren 118 00:05:42,390 --> 00:05:45,560 to show you what he has been digging into 119 00:05:45,560 --> 00:05:47,880 as a part of his graduate work. 120 00:05:47,880 --> 00:05:49,560 - Okay, so, 121 00:05:49,560 --> 00:05:51,520 first off, it's really good to see everybody here today. 122 00:05:51,520 --> 00:05:54,210 I know I've been able to see the names of all the people, 123 00:05:54,210 --> 00:05:56,000 and I've had a lot of contact with many of the people 124 00:05:56,000 --> 00:05:58,970 in this chat and session today. 125 00:05:58,970 --> 00:06:01,480 It's good to see you, in some instances, only via email, 126 00:06:01,480 --> 00:06:03,560 over the phone, or in some instances, in person. 127 00:06:03,560 --> 00:06:05,360 So, it's good to see here, and everyone else, 128 00:06:05,360 --> 00:06:06,890 I'm excited to kind of show you 129 00:06:06,890 --> 00:06:09,163 where the NEFIN data is currently. 130 00:06:10,310 --> 00:06:11,390 So, again, my name is Soren Donisvitch, 131 00:06:11,390 --> 00:06:14,933 and I am the grad student attached to this project. 132 00:06:17,600 --> 00:06:20,120 So, to go over some basic goals 133 00:06:20,120 --> 00:06:22,140 of this specific presentation, 134 00:06:22,140 --> 00:06:25,430 I wanted to kind of let you know where the aggregation 135 00:06:25,430 --> 00:06:28,990 of the NEFIN data really stands, where that dataset is, 136 00:06:28,990 --> 00:06:30,660 what are the basic overviews of the records 137 00:06:30,660 --> 00:06:33,840 that are in the dataset, so what's the shape of it, 138 00:06:33,840 --> 00:06:37,380 what can you actually use it for perhaps, 139 00:06:37,380 --> 00:06:38,790 but also really what's comprised 140 00:06:38,790 --> 00:06:40,663 within the NEFIN dataset as of now. 141 00:06:42,010 --> 00:06:44,660 This is going to go over, really, the spatial extent, 142 00:06:45,560 --> 00:06:48,350 the geographic regions of the plots that we have 143 00:06:48,350 --> 00:06:51,820 in the NEFIN dataset, as well as the programs 144 00:06:51,820 --> 00:06:54,627 that we have included or are currently trying to include 145 00:06:54,627 --> 00:06:57,627 and some future ones we would like to include in the future. 146 00:06:59,190 --> 00:07:01,360 And then, to really go over some of the basic summaries 147 00:07:01,360 --> 00:07:03,750 of the NEFIN data itself, 148 00:07:03,750 --> 00:07:05,880 I don't really have time to go into, like, very specifics, 149 00:07:05,880 --> 00:07:09,923 but a lot of the maybe plot and tree records by the program, 150 00:07:10,870 --> 00:07:13,280 tree data by program through time, 151 00:07:13,280 --> 00:07:16,540 really showing the value that this dataset actually has 152 00:07:16,540 --> 00:07:18,300 not only in plot data in the present, 153 00:07:18,300 --> 00:07:21,833 but also extending into the past, 154 00:07:23,030 --> 00:07:24,400 the sapling and seedling data, 155 00:07:24,400 --> 00:07:27,080 where that stands within NEFIN currently, 156 00:07:27,080 --> 00:07:28,750 the top 10 tree species that are present 157 00:07:28,750 --> 00:07:30,380 in the records that we have, 158 00:07:30,380 --> 00:07:33,340 and then the top 10 tree mortality species. 159 00:07:33,340 --> 00:07:36,080 This is just to give a basic overview of what the dataset 160 00:07:36,080 --> 00:07:39,373 looks like and might be useful to you for. 161 00:07:40,580 --> 00:07:42,460 So, for the spatial extent, 162 00:07:42,460 --> 00:07:45,550 this map is comprised of all of the datasets 163 00:07:45,550 --> 00:07:48,910 that have been aggregated into one and standardized. 164 00:07:48,910 --> 00:07:53,730 This ranges all the way from Mid-Central New York, 165 00:07:53,730 --> 00:07:56,070 Northern Maine, as well as out to the Cutler Coast 166 00:07:56,070 --> 00:07:59,070 and all the way back down to Southern Connecticut. 167 00:07:59,070 --> 00:08:00,653 So, it is a broad range. 168 00:08:01,510 --> 00:08:04,750 The colors correspond to the plot location 169 00:08:04,750 --> 00:08:06,693 and is differentiated by state. 170 00:08:07,660 --> 00:08:09,970 As you can see, Massachusetts comprises the bulk 171 00:08:09,970 --> 00:08:11,840 of a lot of the plots that we currently have. 172 00:08:11,840 --> 00:08:13,490 We are looking to extend that 173 00:08:13,490 --> 00:08:16,113 to many of the other states and other regions. 174 00:08:19,700 --> 00:08:22,360 Just in case, I don't know everyone's background, 175 00:08:22,360 --> 00:08:24,360 a continuous forest inventory 176 00:08:24,360 --> 00:08:26,220 is a fixed forest inventory plot 177 00:08:26,220 --> 00:08:28,260 that's repetitively sampled through time, 178 00:08:28,260 --> 00:08:31,270 and what this allows you to do is answer a lot of questions, 179 00:08:31,270 --> 00:08:34,370 such as mortality, in-growth, recruitment, 180 00:08:34,370 --> 00:08:36,440 a lot of forest stand dynamic questions 181 00:08:36,440 --> 00:08:38,040 that are more nuanced than maybe 182 00:08:39,351 --> 00:08:43,053 a simple cruise may not be able to actually get at. 183 00:08:44,710 --> 00:08:48,440 As you can see from this map, most of the data resides 184 00:08:48,440 --> 00:08:51,860 within what we traditionally considered the Acadian forest 185 00:08:51,860 --> 00:08:53,590 and the Northeastern coastal forests, 186 00:08:53,590 --> 00:08:55,440 although we are looking to expand that further 187 00:08:55,440 --> 00:08:58,440 with many of the other programs we're trying to incorporate. 188 00:09:01,150 --> 00:09:03,840 This is a lot to look at, but basically this is a list 189 00:09:03,840 --> 00:09:07,660 of all of the datasets that we have incorporated, 190 00:09:07,660 --> 00:09:09,900 are in the process of incorporating, 191 00:09:09,900 --> 00:09:12,253 or hopefully will incorporate in the future. 192 00:09:13,790 --> 00:09:16,330 The second column has the code 193 00:09:16,330 --> 00:09:18,300 that'll be used in this presentation 194 00:09:18,300 --> 00:09:22,070 that corresponds to a given program. 195 00:09:22,070 --> 00:09:24,700 Not all of the programs that are in 196 00:09:24,700 --> 00:09:26,630 that code column are included in this summary 197 00:09:26,630 --> 00:09:30,430 just because the standardization and aggregation 198 00:09:30,430 --> 00:09:32,060 for those haven't all been completed 199 00:09:32,060 --> 00:09:33,750 and aren't fully, you know, done, 200 00:09:33,750 --> 00:09:35,320 so I don't want to put the cart before the horse 201 00:09:35,320 --> 00:09:38,480 when it comes to putting up graphs. 202 00:09:38,480 --> 00:09:40,650 But currently, there are 16 CFI programs 203 00:09:40,650 --> 00:09:43,450 we are in the process of integrating into the dataset, 204 00:09:43,450 --> 00:09:46,420 14 more, hopefully, in the works. 205 00:09:46,420 --> 00:09:49,400 The dataset as a whole, the NEFIN dataset, as of right now, 206 00:09:49,400 --> 00:09:52,610 has more than 60 years of CFI data, 207 00:09:52,610 --> 00:09:57,380 the bulk of it moving from 1960 to the present. 208 00:09:57,380 --> 00:10:00,660 This includes more than 14,000 CFI plots 209 00:10:00,660 --> 00:10:02,530 across that geographic region, 210 00:10:02,530 --> 00:10:04,760 being New York, Maine, Vermont, 211 00:10:04,760 --> 00:10:07,543 New Hampshire, Connecticut, and Rhode Island. 212 00:10:08,490 --> 00:10:11,580 So, there's an enormous number of plots 213 00:10:11,580 --> 00:10:15,310 that have innumerable value just spatially in and of itself. 214 00:10:15,310 --> 00:10:18,020 The tree records are just shy of (mumbles), 215 00:10:18,020 --> 00:10:21,460 considerably shy, but 600,000 individual tree records 216 00:10:21,460 --> 00:10:25,590 spanning that time, over 100,000 seedling records, 217 00:10:25,590 --> 00:10:27,643 16,000 sapling records, 218 00:10:29,952 --> 00:10:31,110 a considerable amount of health records, 219 00:10:31,110 --> 00:10:34,660 47,000 health records attached to those trees, 220 00:10:34,660 --> 00:10:36,170 as well as mortality, 221 00:10:36,170 --> 00:10:39,653 and mortality is something that's very useful for CFI data. 222 00:10:41,660 --> 00:10:43,690 So, spatial distribution of plots, 223 00:10:43,690 --> 00:10:46,300 this is broken up by plot, 224 00:10:46,300 --> 00:10:49,790 the NEFIN data, as it is right now, by state, 225 00:10:49,790 --> 00:10:51,100 and then by county. 226 00:10:51,100 --> 00:10:53,230 And so, something that's really nice about this kind 227 00:10:53,230 --> 00:10:56,510 of a dataset is that it provides regional wealth in data, 228 00:10:56,510 --> 00:10:57,850 but also localized wealth. 229 00:10:57,850 --> 00:11:01,640 So, for forest land managers and researchers alike, 230 00:11:01,640 --> 00:11:04,110 if, for instance, you're a land manager 231 00:11:04,110 --> 00:11:06,250 and you're dealing with a forester 232 00:11:06,250 --> 00:11:08,343 having a white pine stand, 233 00:11:09,254 --> 00:11:11,870 but you don't have enough data to be able to answer 234 00:11:11,870 --> 00:11:13,380 the questions you may be wanting to answer 235 00:11:13,380 --> 00:11:15,080 to introduce good civic culture, 236 00:11:15,080 --> 00:11:18,510 you can go through this dataset and find, hopefully, 237 00:11:18,510 --> 00:11:22,670 data that not only is geographically close to your location, 238 00:11:22,670 --> 00:11:24,800 but also may be structurally similar 239 00:11:24,800 --> 00:11:26,650 and can provide you with a wealth of data 240 00:11:26,650 --> 00:11:30,453 to better manage any number of applications to this data. 241 00:11:31,600 --> 00:11:33,210 But this kind of gives you an overview 242 00:11:33,210 --> 00:11:35,730 of where the data resides, predominantly in Massachusetts, 243 00:11:35,730 --> 00:11:37,350 followed by Maine and New York, 244 00:11:37,350 --> 00:11:40,560 and we are looking to increase the number of programs 245 00:11:40,560 --> 00:11:42,170 you can connect with in Vermont, 246 00:11:42,170 --> 00:11:43,720 New Hampshire, and Connecticut. 247 00:11:45,560 --> 00:11:48,050 So, the graph on the left, again, 248 00:11:48,050 --> 00:11:49,960 this is trying to just give you a basic understanding 249 00:11:49,960 --> 00:11:52,763 of the shape of the NEFIN dataset as it is right now, 250 00:11:53,870 --> 00:11:55,410 is the plot counts. 251 00:11:55,410 --> 00:11:58,650 There are individual plots within each program 252 00:11:59,510 --> 00:12:01,053 that we have access to, 253 00:12:02,825 --> 00:12:06,100 so Massachusetts CFI program, followed by SUNY-ESF, 254 00:12:06,100 --> 00:12:07,763 Maine Ecological Reserves. 255 00:12:09,120 --> 00:12:12,540 At no point is any of this data not valuable. 256 00:12:12,540 --> 00:12:13,380 This is valuable. 257 00:12:13,380 --> 00:12:16,220 Each program has unique value, 258 00:12:16,220 --> 00:12:19,463 and aggregated together, also has increased value. 259 00:12:20,300 --> 00:12:22,840 Relative tree records on the right, 260 00:12:22,840 --> 00:12:24,440 I deal with a lot of circles, 261 00:12:24,440 --> 00:12:28,120 so I thought it'd be interesting to do a square pie chart. 262 00:12:28,120 --> 00:12:29,430 It's called the Forest Chart, 263 00:12:29,430 --> 00:12:32,500 but it's basically the idea that the large square is 100% 264 00:12:32,500 --> 00:12:35,743 and the size of the squares correspond to the records. 265 00:12:36,640 --> 00:12:39,110 The relative tree records, this is the graph on the right, 266 00:12:39,110 --> 00:12:40,960 it's relative because each program 267 00:12:40,960 --> 00:12:45,700 has a different expansion factor for its plot, 268 00:12:45,700 --> 00:12:49,320 and so, I expanded it out to a per acre basis 269 00:12:49,320 --> 00:12:50,790 just so that each of those boxes 270 00:12:50,790 --> 00:12:54,380 would be representative against one another. 271 00:12:54,380 --> 00:12:56,430 And so, this just gives you a basic overview 272 00:12:56,430 --> 00:12:59,290 of where the contributions 273 00:12:59,290 --> 00:13:02,223 to the overall NEFIN dataset come from and which program. 274 00:13:07,670 --> 00:13:09,790 The greatest amount of value coming from CFI data 275 00:13:09,790 --> 00:13:12,240 is that it's repetitive through time, and so you can answer 276 00:13:12,240 --> 00:13:14,040 a lot of different questions from that. 277 00:13:14,040 --> 00:13:16,080 This graph is able to kind of visually show you 278 00:13:16,080 --> 00:13:18,880 how each program was sampled through time, 279 00:13:18,880 --> 00:13:21,390 and if you can imagine collapsing that together 280 00:13:22,291 --> 00:13:24,310 to overall temporal resolution increases, 281 00:13:24,310 --> 00:13:27,050 you are able to look out over a long period, 282 00:13:27,050 --> 00:13:29,050 a greater period of time with more data. 283 00:13:31,370 --> 00:13:33,230 Sapling and seedling data. 284 00:13:33,230 --> 00:13:34,943 So, sapling data, 285 00:13:35,810 --> 00:13:38,270 not every program 286 00:13:38,270 --> 00:13:41,890 had sapling data, which is why there's not as much, 287 00:13:41,890 --> 00:13:43,110 but you're able to see 288 00:13:43,110 --> 00:13:45,650 how each program corresponded to that. 289 00:13:45,650 --> 00:13:48,640 And then, the spatial on the bottom left-hand corner, 290 00:13:48,640 --> 00:13:52,710 you're able to see, from the 1970s to 2021, the present, 291 00:13:52,710 --> 00:13:56,120 you're able to see how those tree saplings 292 00:13:56,120 --> 00:13:58,173 were being reported and by which program. 293 00:13:59,810 --> 00:14:01,330 The same thing for seedling data, 294 00:14:01,330 --> 00:14:03,860 and basics around this is just showing 295 00:14:03,860 --> 00:14:07,090 how this data is valued, not only now, 296 00:14:07,090 --> 00:14:08,330 but also past in time. 297 00:14:08,330 --> 00:14:10,980 Taking of points, you know, past, present, 298 00:14:10,980 --> 00:14:13,463 hopefully we'll be able to figure out things in the future. 299 00:14:15,240 --> 00:14:18,020 So, the species composition, 300 00:14:18,020 --> 00:14:20,040 there are more than 80 recorded species 301 00:14:21,930 --> 00:14:26,603 by genus level and by genus and individual species level, 302 00:14:27,500 --> 00:14:29,720 but one of the things that's interesting 303 00:14:29,720 --> 00:14:31,250 about this kind of a dataset is you're able 304 00:14:31,250 --> 00:14:32,910 to plot the plot comparisons, 305 00:14:32,910 --> 00:14:37,010 being able to find out species' compositional shifts, 306 00:14:37,010 --> 00:14:38,500 things of that nature. 307 00:14:38,500 --> 00:14:42,040 The graph is the top 10 tree species by percentage. 308 00:14:42,040 --> 00:14:46,100 The Y-axis is percentage of overall composition 309 00:14:46,100 --> 00:14:47,960 of the dataset itself. 310 00:14:47,960 --> 00:14:52,960 So, for this instance, red maple comprises roughly 17% 311 00:14:53,190 --> 00:14:54,960 of the overall dataset. 312 00:14:54,960 --> 00:14:57,900 So, for instance, if you're interested in, I don't know, 313 00:14:57,900 --> 00:15:01,640 white pine growth and yield based on carbon, 314 00:15:01,640 --> 00:15:03,230 and you want to be able to find some plots for that kind 315 00:15:03,230 --> 00:15:06,113 of data, this is a resource for you. 316 00:15:08,230 --> 00:15:11,200 So, this also is incorporated by mortality, 317 00:15:11,200 --> 00:15:14,440 so mortality by species, and this is single instance, 318 00:15:14,440 --> 00:15:16,353 so it's not repetitive mortality. 319 00:15:18,050 --> 00:15:21,230 Roughly 60 recorded species, and then, again, 320 00:15:21,230 --> 00:15:22,950 this graph is just really looking 321 00:15:22,950 --> 00:15:25,760 at the overall percentage that comprises 322 00:15:27,420 --> 00:15:29,410 the NEFIN dataset itself. 323 00:15:29,410 --> 00:15:31,070 So, if you're interested in mortality, 324 00:15:31,070 --> 00:15:33,020 there's something here for you as well. 325 00:15:35,060 --> 00:15:37,270 These are some citations for, I don't have too much time, 326 00:15:37,270 --> 00:15:38,470 these are some citations for the data 327 00:15:38,470 --> 00:15:40,220 that I'll be using here today. 328 00:15:40,220 --> 00:15:44,080 I do really want to thank all of the people who are here 329 00:15:44,080 --> 00:15:47,350 as well as the people we hope to incorporate in the future 330 00:15:49,607 --> 00:15:50,860 for these data, 331 00:15:50,860 --> 00:15:55,160 and looking forward to training with all of you. 332 00:15:55,160 --> 00:15:58,320 If there are any questions- - I've got a question. 333 00:15:58,320 --> 00:15:59,520 It's kind of a selfish one, 334 00:15:59,520 --> 00:16:02,180 but I've submitted it out of my own data 335 00:16:03,851 --> 00:16:06,260 to this program before, but I'm not sure 336 00:16:06,260 --> 00:16:08,160 you folks actually have it. 337 00:16:08,160 --> 00:16:10,470 Soren, do you remember seeing any of my data? 338 00:16:10,470 --> 00:16:12,470 I've probably submitted 50 plots by now. 339 00:16:14,130 --> 00:16:16,220 - Nothing that I've come across. 340 00:16:16,220 --> 00:16:17,750 I don't want to make that final, 341 00:16:17,750 --> 00:16:20,090 but I'll definitely keep an eye out for it. 342 00:16:20,090 --> 00:16:21,440 - I submitted the plot data 343 00:16:21,440 --> 00:16:23,450 when I submitted the tree ring data. 344 00:16:23,450 --> 00:16:26,260 Maybe it's somehow linked with that, I don't know. 345 00:16:26,260 --> 00:16:27,340 - No, that's a really good point. 346 00:16:27,340 --> 00:16:29,140 So, FEMC does a lot of, sorry, 347 00:16:29,140 --> 00:16:30,445 I'll make it so you can see me, 348 00:16:30,445 --> 00:16:32,970 FEMC does a lot of data archiving, 349 00:16:32,970 --> 00:16:36,680 and if you had submitted data to a different project, 350 00:16:36,680 --> 00:16:38,650 it wouldn't automatically know to come 351 00:16:38,650 --> 00:16:39,980 and be ingested into this one. 352 00:16:39,980 --> 00:16:42,610 So, you would be someone that we would be reaching out to, 353 00:16:42,610 --> 00:16:44,180 saying, do we have permission 354 00:16:44,180 --> 00:16:46,220 to incorporate your actual inventory data? 355 00:16:46,220 --> 00:16:48,191 So, stating- - Yeah, you have permission. 356 00:16:48,191 --> 00:16:50,760 - (laughing) We will be in touch. 357 00:16:50,760 --> 00:16:52,640 Jim Duncan, the Director of the FEMC, 358 00:16:52,640 --> 00:16:54,540 and Emma Tait, our Data Scientist, 359 00:16:54,540 --> 00:16:56,780 along with Clarke Cooper and other FEMC staff 360 00:16:56,780 --> 00:16:59,700 have been working really hard on the back-end of this 361 00:16:59,700 --> 00:17:04,270 to begin to develop some sort of a tool that would make 362 00:17:04,270 --> 00:17:08,250 this data available, so I am going to turn it over to Jim 363 00:17:08,250 --> 00:17:10,590 to share that work. 364 00:17:10,590 --> 00:17:12,260 It's a little demo. 365 00:17:12,260 --> 00:17:13,530 - This is an overview 366 00:17:13,530 --> 00:17:16,850 of the Northeastern Forest Inventory Network Data System 367 00:17:16,850 --> 00:17:19,000 and the status of where we are 368 00:17:19,000 --> 00:17:22,000 with developing this infrastructure. 369 00:17:22,000 --> 00:17:25,810 So, before I walk through the two components of the website, 370 00:17:25,810 --> 00:17:28,630 the first thing I wanted to highlight 371 00:17:28,630 --> 00:17:30,710 is our network design principles. 372 00:17:30,710 --> 00:17:32,670 We're trying to make sure that we don't require 373 00:17:32,670 --> 00:17:34,690 a change in data storage by programs, 374 00:17:34,690 --> 00:17:36,550 that we automate as much as possible 375 00:17:36,550 --> 00:17:38,830 the input and ingested data, 376 00:17:38,830 --> 00:17:41,480 we share as much as possible with the network, 377 00:17:41,480 --> 00:17:43,200 but enable restrictions when needed, 378 00:17:43,200 --> 00:17:45,570 especially around plot locations, 379 00:17:45,570 --> 00:17:48,170 and provide cross-coded, standardized data 380 00:17:48,170 --> 00:17:51,680 coming out of these various forest inventory programs. 381 00:17:51,680 --> 00:17:53,560 So, those are the things that we were trying 382 00:17:53,560 --> 00:17:55,623 to meet with building this system. 383 00:17:56,580 --> 00:17:59,970 Looking at the workflow on a high level, 384 00:17:59,970 --> 00:18:02,020 the data manager preps their data, 385 00:18:02,020 --> 00:18:04,230 they upload it into the NEFIN system, 386 00:18:04,230 --> 00:18:06,160 and then they go through a structured workflow 387 00:18:06,160 --> 00:18:08,630 to update any metadata that might've changed 388 00:18:08,630 --> 00:18:11,730 since the last time a program was put in. 389 00:18:11,730 --> 00:18:13,220 Once all of that is done, 390 00:18:13,220 --> 00:18:16,100 the NEFIN system will actually process that data 391 00:18:16,100 --> 00:18:18,950 to store with both the original observations 392 00:18:18,950 --> 00:18:23,950 and standardized subset of fields, such as DBH and species. 393 00:18:24,060 --> 00:18:28,310 And finally, users then can access that data by download 394 00:18:28,310 --> 00:18:31,863 or exploring the system through the online interface. 395 00:18:36,793 --> 00:18:38,760 Switching over to the actual NEFIN site, 396 00:18:38,760 --> 00:18:40,310 this is what you'll see at the Home page, 397 00:18:40,310 --> 00:18:42,630 and it reviews the network and key statistics 398 00:18:42,630 --> 00:18:45,490 about the programs already in. 399 00:18:45,490 --> 00:18:47,630 We've put in six programs so far, 400 00:18:47,630 --> 00:18:50,160 and this shows the count of plots, trees, 401 00:18:50,160 --> 00:18:52,240 and species represented as well as a breakdown 402 00:18:52,240 --> 00:18:55,800 of the basal area running off the standardized diameter 403 00:18:55,800 --> 00:18:59,170 that we've calculated for each program's observations. 404 00:18:59,170 --> 00:19:00,750 You can start getting into the data 405 00:19:00,750 --> 00:19:03,710 in the system through the Get Data tab. 406 00:19:03,710 --> 00:19:08,030 It provides an overview of programs, plot data, 407 00:19:08,030 --> 00:19:12,770 and tree data that's associated with the NEFIN system. 408 00:19:12,770 --> 00:19:14,650 We'll eventually be adding regeneration data 409 00:19:14,650 --> 00:19:17,850 and whether they're seedlings or saplings as well. 410 00:19:17,850 --> 00:19:20,660 But the other nice piece of this is that you can use 411 00:19:20,660 --> 00:19:22,790 the filters on the left to actually limit down 412 00:19:22,790 --> 00:19:23,970 what you're interested in looking at. 413 00:19:23,970 --> 00:19:27,260 So, for example, we could look down to sugar maple 414 00:19:27,260 --> 00:19:31,010 and red maple, and we could consider only, say, 415 00:19:31,010 --> 00:19:32,980 the northern New England states 416 00:19:32,980 --> 00:19:35,483 and set our filters this way, 417 00:19:36,965 --> 00:19:38,053 and click to search, 418 00:19:38,997 --> 00:19:43,260 and this limits down the programs, the plots, 419 00:19:43,260 --> 00:19:46,470 and the trees to just those records that are matching. 420 00:19:46,470 --> 00:19:48,100 And if you were to click on something 421 00:19:48,100 --> 00:19:49,410 like view the Original Data, 422 00:19:49,410 --> 00:19:50,830 you can actually see what was stored 423 00:19:50,830 --> 00:19:52,870 in the data file as delivered, 424 00:19:52,870 --> 00:19:54,830 and this shows you the standardized information, 425 00:19:54,830 --> 00:19:58,110 DBH in centimeters, cross-coded tree status 426 00:19:58,110 --> 00:20:00,610 that represents live or dead, and the sample year. 427 00:20:00,610 --> 00:20:01,950 But as you can see in the filters, 428 00:20:01,950 --> 00:20:04,470 we're also going to be including other items, 429 00:20:04,470 --> 00:20:06,623 such as whether there's an overstory tree, 430 00:20:07,550 --> 00:20:08,480 whether there's a presence 431 00:20:08,480 --> 00:20:10,540 of a forest health indicator mentioned, 432 00:20:10,540 --> 00:20:12,160 such as defoliation. 433 00:20:12,160 --> 00:20:15,740 You can limit by DBH range or program. 434 00:20:15,740 --> 00:20:17,460 So, there's many different ways to use 435 00:20:17,460 --> 00:20:19,763 this standardized data to get an extract. 436 00:20:21,000 --> 00:20:22,420 You can click on the program to get 437 00:20:22,420 --> 00:20:24,420 some general information about it. 438 00:20:24,420 --> 00:20:26,950 This is the Maine Ecological Reserves Program, 439 00:20:26,950 --> 00:20:30,720 so some basic details, and then more detailed definitions, 440 00:20:30,720 --> 00:20:32,870 such as the shape of the plot 441 00:20:32,870 --> 00:20:34,540 and a list of files that are available, 442 00:20:34,540 --> 00:20:37,340 such as methods, documents, import packages, 443 00:20:37,340 --> 00:20:40,510 and scripts that have been used to process the data. 444 00:20:40,510 --> 00:20:42,980 So, if you were then to click on the Download tab, 445 00:20:42,980 --> 00:20:44,340 you'd be able to see 446 00:20:45,570 --> 00:20:48,260 both an aggregate of all the information 447 00:20:48,260 --> 00:20:50,600 you're seeing in plots, trees, and programs, 448 00:20:50,600 --> 00:20:53,090 as well as supporting documentation for each 449 00:20:53,090 --> 00:20:55,840 of the programs, including raw files if you want them. 450 00:20:55,840 --> 00:20:58,130 So, you can really access all of the information 451 00:20:58,130 --> 00:20:59,940 underneath that that you would like. 452 00:20:59,940 --> 00:21:03,220 Clicking over to Inventory Programs is a way just to look 453 00:21:03,220 --> 00:21:05,110 at the list of programs that are in there 454 00:21:05,110 --> 00:21:07,410 and get more information specific to them, 455 00:21:07,410 --> 00:21:11,430 so again, like the Maine Ecological Reserves Program, 456 00:21:11,430 --> 00:21:13,500 for example, get those same details, 457 00:21:13,500 --> 00:21:16,020 definitions about how the plots were set up, 458 00:21:16,020 --> 00:21:19,180 key statistics about the species by count and tallies, 459 00:21:19,180 --> 00:21:21,273 the number of observations of trees, 460 00:21:22,200 --> 00:21:24,850 information on the history of changes made 461 00:21:24,850 --> 00:21:28,840 to the data system, as well as downloads. 462 00:21:28,840 --> 00:21:31,980 So, again, more of a program-based exploration, 463 00:21:31,980 --> 00:21:33,710 and some of this information can be tailored 464 00:21:33,710 --> 00:21:35,730 so that certain parts can be downloadable 465 00:21:35,730 --> 00:21:37,250 and certain parts can't. 466 00:21:37,250 --> 00:21:40,360 We provide additional information to help people 467 00:21:40,360 --> 00:21:41,970 learn more about the program through the About 468 00:21:41,970 --> 00:21:45,530 or to contact us if they're interested in participating. 469 00:21:45,530 --> 00:21:47,030 So, as I mentioned, we have 470 00:21:48,480 --> 00:21:51,810 six programs that we've largely processed and put into here, 471 00:21:51,810 --> 00:21:55,580 representing most of the states in the seven state region, 472 00:21:55,580 --> 00:21:57,780 and we have at least four more that are pretty much ready 473 00:21:57,780 --> 00:21:59,910 to go and are working on a number 474 00:21:59,910 --> 00:22:04,160 of others that could also be of interest. 475 00:22:04,160 --> 00:22:06,460 So, now I will turn it over to Emma, 476 00:22:06,460 --> 00:22:09,050 who will give us a rundown of the back-end 477 00:22:09,050 --> 00:22:10,940 and how you put data into this system 478 00:22:10,940 --> 00:22:12,290 from an individual program. 479 00:22:13,890 --> 00:22:16,080 - [Emma] Once a continuous forest inventory program 480 00:22:16,080 --> 00:22:17,260 is in the NEFIN system, 481 00:22:17,260 --> 00:22:19,230 the data management portal allows managers 482 00:22:19,230 --> 00:22:21,660 to add new data for their program. 483 00:22:21,660 --> 00:22:23,380 Once you've selected your program, 484 00:22:23,380 --> 00:22:25,710 you can see some basic information about the program 485 00:22:25,710 --> 00:22:29,270 as well as a summary of the last version 486 00:22:29,270 --> 00:22:32,000 of the metadata for your program. 487 00:22:32,000 --> 00:22:33,200 To create a new version, 488 00:22:33,200 --> 00:22:36,340 first select the years that the data covers. 489 00:22:36,340 --> 00:22:38,430 This could be one year or multiple, 490 00:22:38,430 --> 00:22:40,940 and then select your files. 491 00:22:40,940 --> 00:22:44,020 These files are going to be unique for each program. 492 00:22:44,020 --> 00:22:48,450 In the case of Mass CFI, these are a Plot File, a Tree File, 493 00:22:48,450 --> 00:22:51,170 and a Region File that are direct dumps of tables 494 00:22:51,170 --> 00:22:52,913 from the accessed database. 495 00:22:54,340 --> 00:22:56,660 Once these files are uploaded, 496 00:22:56,660 --> 00:22:58,910 they will be processed 497 00:22:59,790 --> 00:23:02,820 to have a set of unique IDs that are specific to NEFIN, 498 00:23:02,820 --> 00:23:06,400 and to do any drawings required to create three sets 499 00:23:06,400 --> 00:23:09,160 of unique observations, one for plots, one for trees, 500 00:23:09,160 --> 00:23:11,060 and one for regeneration. 501 00:23:11,060 --> 00:23:13,530 Next will be a step to match 502 00:23:13,530 --> 00:23:18,270 the standard fields required for the NEFIN system 503 00:23:18,270 --> 00:23:21,870 to field in the uploaded data. 504 00:23:21,870 --> 00:23:25,740 It will try to match the same fields from the last version 505 00:23:25,740 --> 00:23:28,493 if those fields exist in the newly uploaded data. 506 00:23:29,370 --> 00:23:31,770 If those fields don't exist, it will be blank, 507 00:23:31,770 --> 00:23:33,420 and you'll need to match a field, 508 00:23:34,270 --> 00:23:37,500 but there may also be situations in which a field changes, 509 00:23:37,500 --> 00:23:39,770 but you keep both, and so, in that case, 510 00:23:39,770 --> 00:23:42,970 you would need to indicate what that new field is, 511 00:23:42,970 --> 00:23:46,830 and this will need to happen for any plot information, 512 00:23:46,830 --> 00:23:51,393 any tree information, and any regeneration information. 513 00:23:52,510 --> 00:23:54,570 There's also some program-level information, 514 00:23:54,570 --> 00:23:58,210 and this is unlikely to change all that often, 515 00:23:58,210 --> 00:23:59,830 but it's possible that it might need 516 00:23:59,830 --> 00:24:02,010 to change over the program's lifetime, 517 00:24:02,010 --> 00:24:03,633 and so that can be done as well. 518 00:24:05,240 --> 00:24:07,670 Next, the system will scan 519 00:24:09,358 --> 00:24:13,263 any fields that have lists, such as your Species column, 520 00:24:14,150 --> 00:24:18,010 and it will check to see if the codes in that column 521 00:24:18,010 --> 00:24:20,700 match the species list for your program 522 00:24:20,700 --> 00:24:23,590 or whatever the code list is for your program. 523 00:24:23,590 --> 00:24:24,920 If it finds a code 524 00:24:26,980 --> 00:24:29,140 in your newly uploaded data that doesn't match 525 00:24:29,140 --> 00:24:31,100 the species list, then you'll need to provide 526 00:24:31,100 --> 00:24:34,350 your program definition for that code 527 00:24:35,620 --> 00:24:37,120 as well as 528 00:24:38,390 --> 00:24:40,730 match it to a NEFIN generalized code. 529 00:24:40,730 --> 00:24:44,940 In the case of species, this is going to be a species name, 530 00:24:44,940 --> 00:24:48,070 and that will also link with an ITIS code. 531 00:24:48,070 --> 00:24:49,920 Once you've done all of the matching, 532 00:24:51,110 --> 00:24:55,150 we do some scanning for some quality control checks, 533 00:24:55,150 --> 00:24:57,500 and the first set of checks are critical checks 534 00:24:59,586 --> 00:25:03,340 that look at whether or not you have text data 535 00:25:03,340 --> 00:25:04,893 in your numeric fields, 536 00:25:06,280 --> 00:25:08,840 such as, you know, text in a DBH field. 537 00:25:08,840 --> 00:25:13,700 If those critical checks fail, the system can't progress. 538 00:25:13,700 --> 00:25:16,360 So, the program manager would need 539 00:25:16,360 --> 00:25:19,570 to edit the data and fix those issues, 540 00:25:19,570 --> 00:25:21,490 and then re-upload the data. 541 00:25:21,490 --> 00:25:25,310 The other set of checks are a set of warnings that look 542 00:25:25,310 --> 00:25:29,370 at whether your tree DBHs are within an expected range 543 00:25:29,370 --> 00:25:34,370 or the ratio of your height to DBH is realistic for a tree. 544 00:25:38,568 --> 00:25:40,930 Those don't cause the system to fail, 545 00:25:40,930 --> 00:25:43,630 and so they can be addressed as needed 546 00:25:44,850 --> 00:25:46,650 by the program manager 547 00:25:46,650 --> 00:25:49,233 or can be ignored if they're not relevant. 548 00:25:50,700 --> 00:25:55,313 Lastly, provide a brief description for the new version, 549 00:25:56,880 --> 00:25:58,280 and then review 550 00:26:01,328 --> 00:26:04,010 the summary of the changes made for your program. 551 00:26:04,010 --> 00:26:08,560 This includes the files, the years, the standard metrics, 552 00:26:08,560 --> 00:26:13,560 and any codes added that were not previously in the system. 553 00:26:13,700 --> 00:26:16,120 Once all of that is verified to be complete, 554 00:26:16,120 --> 00:26:20,520 then you submit the version and the metadata gets added 555 00:26:20,520 --> 00:26:23,790 to the NEFIN metadata database, 556 00:26:23,790 --> 00:26:28,790 and a copy of the data you uploaded is standardized 557 00:26:28,870 --> 00:26:32,200 into a set of standard tables, 558 00:26:32,200 --> 00:26:37,130 along with the rest of the programs within the NEFIN system. 559 00:26:37,130 --> 00:26:40,730 This process may take some time, and in the future, 560 00:26:40,730 --> 00:26:42,480 you'll be able to check your progress 561 00:26:42,480 --> 00:26:44,730 as the processing happens, 562 00:26:44,730 --> 00:26:46,280 but once the processing is complete, 563 00:26:46,280 --> 00:26:49,240 then you'll be able to see the data 564 00:26:49,240 --> 00:26:52,380 that was just uploaded in the NEFIN Data Explorer. 565 00:26:52,380 --> 00:26:54,191 - So, I'm happy to answer any questions. 566 00:26:54,191 --> 00:26:56,180 I know there's a fair bit of technical detail there, 567 00:26:56,180 --> 00:26:58,900 but just a kind of a quick walk-through 568 00:26:59,895 --> 00:27:02,950 of both the accessing information at the front-end 569 00:27:02,950 --> 00:27:05,500 and being able to put content in from the back-end. 570 00:27:07,003 --> 00:27:09,490 So, yeah, any questions on anything that was shown there? 571 00:27:09,490 --> 00:27:11,060 - It was great, that's really interesting 572 00:27:11,060 --> 00:27:12,600 to see how this works. 573 00:27:12,600 --> 00:27:14,393 I guess I had two questions. 574 00:27:16,904 --> 00:27:19,720 First, some of us who use large plots 575 00:27:19,720 --> 00:27:22,490 also include the XY coordinates. 576 00:27:22,490 --> 00:27:24,290 Are those retained in these datasets? 577 00:27:24,290 --> 00:27:27,150 In other words, can someone search for all plots 578 00:27:27,150 --> 00:27:29,463 that had XY coordinates for the trees? 579 00:27:31,515 --> 00:27:35,218 - So, you mean specifically you have tree-level coordinates. 580 00:27:35,218 --> 00:27:37,418 - Whoever's looking at the spatial location. 581 00:27:38,670 --> 00:27:40,970 - Yes, this system isn't set up to really, 582 00:27:40,970 --> 00:27:43,730 because that's not very common, we didn't set that up 583 00:27:46,323 --> 00:27:48,420 to be a feature of the tree information. 584 00:27:48,420 --> 00:27:52,610 It will be retained in that original data popup, 585 00:27:52,610 --> 00:27:53,900 so someone will be able to see it, 586 00:27:53,900 --> 00:27:56,530 but as far as searching for trees 587 00:27:56,530 --> 00:27:58,310 that fall within that range, no. 588 00:27:58,310 --> 00:28:01,390 We'd have to rely on the plot location at this point, 589 00:28:01,390 --> 00:28:05,880 but if we did see, it would not be a significant amount 590 00:28:05,880 --> 00:28:08,170 of work to add that to the standardized tree information 591 00:28:08,170 --> 00:28:10,590 if we started having more inventory programs coming in 592 00:28:10,590 --> 00:28:12,723 with tree location data. 593 00:28:13,610 --> 00:28:14,473 - Okay, thanks. 594 00:28:15,500 --> 00:28:18,630 The other question, just to make sure I understand, 595 00:28:18,630 --> 00:28:20,910 a lot of your examples referred to programs, 596 00:28:20,910 --> 00:28:23,260 like state programs, that update. 597 00:28:23,260 --> 00:28:27,291 Would I use the same process as an individual researcher 598 00:28:27,291 --> 00:28:28,513 to upload my data? 599 00:28:31,030 --> 00:28:33,420 - If you wanted to be contributing to NEFIN? 600 00:28:33,420 --> 00:28:34,993 - Yeah. - Yep. 601 00:28:36,010 --> 00:28:39,810 The idea is to have programs that are going to do 602 00:28:39,810 --> 00:28:41,760 repeated measures on permanent plots. 603 00:28:41,760 --> 00:28:46,070 So, as long as that kind of basic requirement is met, 604 00:28:46,070 --> 00:28:48,550 that's the same process for the back-end, 605 00:28:48,550 --> 00:28:51,700 so you get your own access to your own space. 606 00:28:51,700 --> 00:28:54,020 You'd have your own structure for your data 607 00:28:54,020 --> 00:28:56,950 that has been prepared, and that can be put in. 608 00:28:56,950 --> 00:28:58,087 - Okay, thank you. 609 00:28:59,581 --> 00:29:01,300 - We have a couple more months of work to do 610 00:29:01,300 --> 00:29:03,800 just to make sure we've sealed up the cracks, 611 00:29:03,800 --> 00:29:07,680 and right now, it works with kind of an admin user, 612 00:29:07,680 --> 00:29:11,220 but we haven't done the kind of user level features yet. 613 00:29:11,220 --> 00:29:13,910 So, I think there's still a little bit of work to do 614 00:29:13,910 --> 00:29:16,250 on that side of things, and then just handling 615 00:29:16,250 --> 00:29:18,330 some of the other pieces, like regeneration data, 616 00:29:18,330 --> 00:29:21,220 where we want to make sure we have sussed that out 617 00:29:21,220 --> 00:29:23,760 before inviting people to come in. 618 00:29:23,760 --> 00:29:27,110 So, I think, you know, the first step with any program 619 00:29:27,110 --> 00:29:29,370 that's going to go in here is some work to prepare 620 00:29:29,370 --> 00:29:31,440 the system to accept that program data, 'cause again, 621 00:29:31,440 --> 00:29:33,610 we're trying to not force people to use 622 00:29:33,610 --> 00:29:35,650 some sort of standard template to upload data, 623 00:29:35,650 --> 00:29:39,360 but rather upload the data in the system they collected in, 624 00:29:39,360 --> 00:29:43,433 so that would also add time to a new program coming in. 625 00:29:45,515 --> 00:29:47,320 And I think, by spring, 626 00:29:47,320 --> 00:29:49,740 like, spring is kind of my target, 627 00:29:49,740 --> 00:29:51,240 that we're pretty much launching 628 00:29:51,240 --> 00:29:55,260 a fully baked public and private version. 629 00:29:55,260 --> 00:29:59,760 - Thank you all for contributing your ideas. 630 00:29:59,760 --> 00:30:01,910 I really do think it was pretty interesting 631 00:30:01,910 --> 00:30:03,270 to see the diversity of people, 632 00:30:03,270 --> 00:30:04,920 at least that were in our breakout room, 633 00:30:04,920 --> 00:30:09,623 and to hear the different ideas and different perspectives. 634 00:30:11,160 --> 00:30:14,550 Let me share my screen again just to kind of tell you 635 00:30:14,550 --> 00:30:17,220 where we are hoping to go 636 00:30:18,180 --> 00:30:19,013 right now. 637 00:30:20,470 --> 00:30:25,170 We do have a website for this project that is live, 638 00:30:25,170 --> 00:30:28,950 and on that website is a link to be able to get involved. 639 00:30:28,950 --> 00:30:30,810 So, if you 640 00:30:30,810 --> 00:30:34,370 have been somehow inspired and you have data 641 00:30:34,370 --> 00:30:36,680 that you think would be appropriate to contribute, 642 00:30:36,680 --> 00:30:38,390 this link, and Jim, I don't know, 643 00:30:38,390 --> 00:30:41,340 do you have the direct link to that 644 00:30:41,340 --> 00:30:42,980 that you can stick in the chat? 645 00:30:42,980 --> 00:30:44,710 - Yeah, I can do that. - Thank you. 646 00:30:44,710 --> 00:30:46,000 You can go to the Get Involved tab 647 00:30:46,000 --> 00:30:48,630 and it will allow you to just enter your information. 648 00:30:48,630 --> 00:30:51,510 It will come straight to us in the NEFIN project 649 00:30:51,510 --> 00:30:54,500 and we can connect back with you, whether that's, you know, 650 00:30:54,500 --> 00:30:56,550 if you're interested in contributing data 651 00:30:57,450 --> 00:31:00,820 or if you are interested in being a part 652 00:31:00,820 --> 00:31:03,760 of any future analyses or data summaries 653 00:31:03,760 --> 00:31:06,750 or research questions or different ways 654 00:31:08,160 --> 00:31:10,150 of actually utilizing this aggregate data. 655 00:31:10,150 --> 00:31:13,590 So, please do let us know if you're interested 656 00:31:13,590 --> 00:31:14,860 in continuing on. 657 00:31:14,860 --> 00:31:17,760 Thank you all for contributing here 658 00:31:17,760 --> 00:31:21,020 and really helping us figure out where to take this. 659 00:31:21,020 --> 00:31:21,993 So, thanks, all. 660 00:31:23,970 --> 00:31:27,300 - Thanks, everybody, and I looked at the link. 661 00:31:27,300 --> 00:31:29,400 I think that we had a website upgrade 662 00:31:29,400 --> 00:31:30,660 that broke something in that. 663 00:31:30,660 --> 00:31:33,660 So, if you try and fill out the Contact To Contribute form, 664 00:31:33,660 --> 00:31:35,500 it might work for you, it might not, 665 00:31:35,500 --> 00:31:37,560 so if it doesn't, just feel free to email me 666 00:31:37,560 --> 00:31:40,570 and I can connect with you about that. 667 00:31:40,570 --> 00:31:43,120 - Yeah, and I can put my email in the chat as well.