# Foresters

US SOC code 19-1032. Markdown version of https://futurehistory.earth/timeline/19-1032

Also called: Consulting forester, Industrial forester, Urban forester, Procurement forester, Service forester.

## In brief

In May 2025, [BLS](https://www.bls.gov/oes/special-requests/oesm25nat.zip) counted **10,430** US foresters, with median pay of **$76,400** a year. Of the BLS counts since 2003, the highest was **10,760**, in May 2006, close to the May 2025 count. The earliest figure here is [an estimate](https://npshistory.com/publications/usfs/fs-650/sec2.htm) of **1,500** from 1910, not measured the same way as today's count. The last full technology era for foresters: LiDAR and remote sensing for precision forest inventory, 2010 to 2022. LiDAR and remote sensing compressed the forester's reconnaissance-level inventory work substantially.

## What the sources say

### Official outlook

BLS projects employment to grow 2.2% from 2025 to 2035. Source: [BLS Employment Projections 2025-35](https://data.bls.gov/projections/nationalMatrix?queryParams=19-1032&ioType=o).

### AI exposure studies

- **36.8%** of this job's tasks are exposed to large language models. Not a forecast of job losses. [Eloundou and others, 2023](https://github.com/openai/GPTs-are-GPTs/blob/main/data/occ_level.csv)

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

## Foresters employment and pay by year

- On record since: 1892
- Latest US employment: 10,430 (May 2025). Source: BLS OEWS May 2025 [6]
- Latest US median pay: $76,400 (May 2025). Source: BLS OEWS May 2025 [12]
- Outlook: +2.2% by 2035. Source: BLS Employment Projections 2025-35 [30]

### In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

- **Canada** (NOC 21111)
  - Employment, 2020: 5,165. Source: Statistics Canada Census 2021 [9]. Statistics Canada Census of Population 2021: number of persons with employment income in NOC 21111 Forestry professionals, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
  - Median pay, 2020: C$84,000. Source: Statistics Canada Census 2021 [16]. Statistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 21111 Forestry professionals, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.

### All 29 years of cited US data

| Year | US employment | Annual pay (median unless marked) | Source |
| --- | --- | --- | --- |
| 1910 | 1,500 (estimate) | n/a | Est., USFS "The First Century" (NPS History) [1] |
| 1930 | 4,500 (estimate) | n/a | Est., US Census Bureau [2] |
| 1955 | 9,100 (estimate) | $4,500 (estimate) | Est., FAO (employment) [3]; Est., Federal General Schedule Pay History (pay) [10] |
| 1975 | 21,000 (estimate) | n/a | Est., FAO [3] |
| 1988 | 27,000 | $28,000 (estimate) | BLS CPS 2003 [4] |
| 2000 | 9,890 | n/a | BLS OEWS 2000 [5] |
| 2003 | 9,840 | $47,320 | BLS OEWS May 2003 [6] |
| 2004 | 10,250 | $48,230 | BLS OEWS May 2004 [6] |
| 2005 | 10,750 | $48,670 | BLS OEWS May 2005 [6] |
| 2006 | 10,760 | $51,190 | BLS OEWS May 2006 [6] |
| 2007 | 10,510 | $52,440 | BLS OEWS May 2007 [6] |
| 2008 | 10,160 | $53,750 | BLS OEWS May 2008 [6] |
| 2009 | 10,230 | $53,840 | BLS OEWS May 2009 [6] |
| 2010 | 9,470 | $54,540 | BLS OEWS May 2010 [6] |
| 2011 | 9,000 | $55,190 | BLS OEWS May 2011 [6] |
| 2012 | 9,470 | $55,950 | BLS OEWS May 2012 [6] |
| 2013 | 9,220 | $57,110 | BLS OEWS May 2013 [6] |
| 2014 | 9,140 | $57,980 | BLS OEWS May 2014 [6] |
| 2015 | 8,590 | $58,230 | BLS OEWS May 2015 [6] |
| 2016 | 8,420 | $58,700 | BLS OEWS May 2016 [6] |
| 2017 | 8,300 | $60,120 | BLS OEWS May 2017 [6] |
| 2018 | 8,410 | $61,410 | BLS OEWS May 2018 [6] |
| 2019 | 9,510 | $61,790 | BLS OEWS May 2019 [6] |
| 2020 | 9,360 | $63,980 | BLS OEWS May 2020 [6] |
| 2021 | 9,500 | $64,110 | BLS OEWS May 2021 [6] |
| 2022 | 9,430 | $64,220 | BLS OEWS May 2022 [6] |
| 2023 | 9,450 | $67,330 | BLS OEWS May 2023 [6] |
| 2024 | 9,650 | $70,660 | BLS OEWS May 2024 (employment) [6]; BLS OEWS May 2024 (pay) [13] |
| 2025 | 10,430 | $76,400 | BLS OEWS May 2025 [6] |

## Sources (100)

### Employment series

1. [USFS "The First Century" (NPS History) -- USFS staffing 1905-1910; 60 staff in 1898 grew to 700+ by 1905; 150 national forests by 1910](https://npshistory.com/publications/usfs/fs-650/sec2.htm), NPS History / USDA Forest Service
2. [US Census Bureau -- 1940 Census of Population: Comparative Occupation Statistics for the United States, 1870 to 1940](https://www.census.gov/library/publications/1943/dec/population-occupation.html), US Census Bureau
3. [FAO -- "Re-inventing the United States Forest Service" (Postwar Development Era 1946-1959): USFS staff doubled from 9,100 (1955) to over 19,500 (1975)](https://www.fao.org/4/ai412e/ai412e06.htm), Food and Agriculture Organization of the United Nations
4. [BLS Career Outlook (2003 spring) -- "1988-2000 Employment" retrospective: 27,000 actual employment for conservation scientists and foresters in 1988](https://www.bls.gov/careeroutlook/2003/spring/art01.pdf), Bureau of Labor Statistics
5. [BLS OES 2000 national estimates (flat file)](https://www.bls.gov/oes/special-requests/oes00nat.zip), Bureau of Labor Statistics
6. BLS OEWS, national cross-industry estimates (flat file), Bureau of Labor Statistics. Editions: [2003](https://www.bls.gov/oes/special-requests/oesm03nat.zip), [2004](https://www.bls.gov/oes/special-requests/oesm04nat.zip), [2005](https://www.bls.gov/oes/special-requests/oesm05nat.zip), [2006](https://www.bls.gov/oes/special-requests/oesm06nat.zip), [2007](https://www.bls.gov/oes/special-requests/oesm07nat.zip), [2008](https://www.bls.gov/oes/special-requests/oesm08nat.zip), [2009](https://www.bls.gov/oes/special-requests/oesm09nat.zip), [2010](https://www.bls.gov/oes/special-requests/oesm10nat.zip), [2011](https://www.bls.gov/oes/special-requests/oesm11nat.zip), [2012](https://www.bls.gov/oes/special-requests/oesm12nat.zip), [2013](https://www.bls.gov/oes/special-requests/oesm13nat.zip), [2014](https://www.bls.gov/oes/special-requests/oesm14nat.zip), [2015](https://www.bls.gov/oes/special-requests/oesm15nat.zip), [2016](https://www.bls.gov/oes/special-requests/oesm16nat.zip), [2017](https://www.bls.gov/oes/special-requests/oesm17nat.zip), [2018](https://www.bls.gov/oes/special-requests/oesm18nat.zip), [2019](https://www.bls.gov/oes/special-requests/oesm19nat.zip), [2020](https://www.bls.gov/oes/special-requests/oesm20nat.zip), [2021](https://www.bls.gov/oes/special-requests/oesm21nat.zip), [2022](https://www.bls.gov/oes/special-requests/oesm22nat.zip), [2023](https://www.bls.gov/oes/special-requests/oesm23nat.zip), [2024](https://www.bls.gov/oes/special-requests/oesm24nat.zip), [2025](https://www.bls.gov/oes/special-requests/oesm25nat.zip)
7. [Statistics Canada, Census of Population 2006, Table 97-563-XCB2006069 (Wage and salary statistics by occupation, NOC-S 2006), income reference year 2005](https://www12.statcan.gc.ca/census-recensement/2006/dp-pd/tbt/Rp-eng.cfm?LANG=E&PID=96285), Statistics Canada
8. [Statistics Canada, Census of Population 2016, Table 98-400-X2016356 (Occupation by employment income statistics, NOC 2016), income reference year 2015](https://www150.statcan.gc.ca/n1/en/catalogue/98-400-X2016356), Statistics Canada
9. [Statistics Canada, Census of Population 2021, Table 98-10-0586 (Employment income statistics by occupation unit group, NOC 2021), income reference year 2020](https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=9810058601), Statistics Canada

### Wage series

10. [Federal General Schedule Pay History -- GS-7/9 professional positions circa 1955 (consistent with entry-level forester classification); USFS career progression documentation](https://npshistory.com/publications/usfs/fs-650/sec2.htm), NPS History / USDA Forest Service
11. [BLS Career Outlook (2003) -- 1988-2000 employment retrospective for conservation scientists and foresters; GS pay scale historical records for professional scientist grades](https://www.bls.gov/careeroutlook/2003/spring/art01.pdf), Bureau of Labor Statistics
12. BLS OEWS, national cross-industry estimates (flat file), Bureau of Labor Statistics. Editions: [2003](https://www.bls.gov/oes/special-requests/oesm03nat.zip), [2004](https://www.bls.gov/oes/special-requests/oesm04nat.zip), [2005](https://www.bls.gov/oes/special-requests/oesm05nat.zip), [2006](https://www.bls.gov/oes/special-requests/oesm06nat.zip), [2007](https://www.bls.gov/oes/special-requests/oesm07nat.zip), [2008](https://www.bls.gov/oes/special-requests/oesm08nat.zip), [2009](https://www.bls.gov/oes/special-requests/oesm09nat.zip), [2010](https://www.bls.gov/oes/special-requests/oesm10nat.zip), [2011](https://www.bls.gov/oes/special-requests/oesm11nat.zip), [2012](https://www.bls.gov/oes/special-requests/oesm12nat.zip), [2013](https://www.bls.gov/oes/special-requests/oesm13nat.zip), [2014](https://www.bls.gov/oes/special-requests/oesm14nat.zip), [2015](https://www.bls.gov/oes/special-requests/oesm15nat.zip), [2016](https://www.bls.gov/oes/special-requests/oesm16nat.zip), [2017](https://www.bls.gov/oes/special-requests/oesm17nat.zip), [2018](https://www.bls.gov/oes/special-requests/oesm18nat.zip), [2019](https://www.bls.gov/oes/special-requests/oesm19nat.zip), [2020](https://www.bls.gov/oes/special-requests/oesm20nat.zip), [2021](https://www.bls.gov/oes/special-requests/oesm21nat.zip), [2022](https://www.bls.gov/oes/special-requests/oesm22nat.zip), [2023](https://www.bls.gov/oes/special-requests/oesm23nat.zip), [2025](https://www.bls.gov/oes/special-requests/oesm25nat.zip)
13. [BLS OOH -- Conservation Scientists and Foresters: median annual wage for foresters $70,660 in May 2024; O\*NET 19-1032.00 confirms same figure](https://www.bls.gov/ooh/life-physical-and-social-science/conservation-scientists.htm), Bureau of Labor Statistics
14. [Statistics Canada, Census of Population 2006, Table 97-563-XCB2006069 (Wage and salary statistics by occupation, NOC-S 2006), income reference year 2005](https://www12.statcan.gc.ca/census-recensement/2006/dp-pd/tbt/Rp-eng.cfm?LANG=E&PID=96285), Statistics Canada
15. [Statistics Canada, Census of Population 2016, Table 98-400-X2016356 (Occupation by employment income statistics, NOC 2016), income reference year 2015](https://www150.statcan.gc.ca/n1/en/catalogue/98-400-X2016356), Statistics Canada
16. [Statistics Canada, Census of Population 2021, Table 98-10-0586 (Employment income statistics by occupation unit group, NOC 2021), income reference year 2020](https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=9810058601), Statistics Canada

### Tool eras

17. [National Forests Foundation -- "Biltmore Estate: The Birth of US Forestry": Pinchot brought European silviculture practices including stand measurement methods to America in 1892](https://www.nationalforests.org/blog/biltmore-estate-the-birth-of-forestry), National Forest Foundation
18. [Forest History Society -- "A New Profession Takes Seed": early American foresters used compass, tally board, and visual estimation methods inherited from European silviculture](https://foresthistory.org/education/trees-talk-curriculum/new-profession-takes-seed/introduction/), Forest History Society
19. [NPS History -- "100 Years of Federal Forestry" (Years of Great Change, 1946-1960): USFS adopted aerial photography for systematic national forest inventory during and after WWII](https://npshistory.com/publications/usfs/aib-402/sec4.htm), NPS History
20. [FAO -- "Re-inventing the United States Forest Service": postwar development era saw national forest timber sales grow from 9 to 45-50 million cubic meters; USFS staff doubled to over 19,500 by 1975](https://www.fao.org/4/ai412e/ai412e06.htm), Food and Agriculture Organization of the United Nations
21. [Waldwissen.net -- "The History of the Chainsaw": by 1950 the first one-man chainsaw was introduced; 1950s lighter aluminum parts reduced weight under 25 lbs; logging productivity increased 3-5x](https://www.waldwissen.net/en/people-and-forests/forest-history/the-history-of-the-chainsaw), Waldwissen (European Forest Research)
22. [USFS Forest Management Historical Perspective -- NFMA (1976) required preparation of Land and Resource Management Plans; FORPLAN computer model introduced for timber harvest scheduling and resource trade-off analysis](https://www.fs.usda.gov/forestmanagement/aboutus/histperspective.shtml), USDA Forest Service
23. [Climate Change Academy -- "The Evolution of GIS": Canada Land Inventory GIS originated for federal Department of Forestry in 1962; by 1990 spatial technology and software made GIS critical for forest management](https://climatechange.academy/climate-change-assessment-tools/evolution-gis-early-maps-modern-tech/), Climate Change Academy
24. [W.M. Beaty and Associates -- Forest Inventories and GIS Mapping: in early 1990s, organizations started using GIS for timberland stratification and sample plot allocation](https://www.wmbeaty.com/geographic-information-system-mapping), W.M. Beaty and Associates
25. [ScienceDirect (2024) -- "Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning": operational adoption of airborne LiDAR for forest inventory](https://www.sciencedirect.com/science/article/pii/S0034425724000890), ScienceDirect / Remote Sensing of Environment
26. [USFS NRS -- Forest Pest Detection and Tracking through Harmonized Remote Sensing (Bipartisan Infrastructure Law): Sentinel-2 and LiDAR fusion for national forest pest monitoring](https://research.fs.usda.gov/nrs/projects/bil-pest-detection-using-harmonized-remote-sensing), USDA Forest Service Northern Research Station
27. [Deep Forestry -- Autonomous sub-canopy drone + AI forest inventory: per-tree LiDAR + RGB; 24-hr 3D model delivery; 30-100x efficiency vs. manual cruise; Series A 2025](https://www.deepforestry.com/), Deep Forestry
28. [Pano AI -- 725 wildfires detected 2025 season; first notification source in roughly half; 700+ sites in 17 states; 50M+ acres; USFS, BLM, USFWS, WA DNR users; Fast Company Most Innovative Companies 2026](https://www.pano.ai/), Pano AI
29. [American Forest Management (2025) -- GeoAI automating stand delineation from imagery and LiDAR; harvest planning AI becoming mainstream in consulting forestry; SAF "AI for Foresters" training at UW-Stevens Point](https://www.americanforestmanagement.com/news/how-artificial-intelligence-is-reshaping-forest-management), American Forest Management / Society of American Foresters

### Forecasts and exposure studies

30. [BLS Employment Projections 2025-35, National Employment Matrix: 19-1032 Foresters (2025: 13.2 thousand; 2035: 13.5 thousand; +2.2%)](https://data.bls.gov/projections/nationalMatrix?queryParams=19-1032&ioType=o), Bureau of Labor Statistics
31. [Eloundou, Manning, Mishkin & Rock (2023), "GPTs are GPTs", occupation-level exposure data occ\_level.csv (O\*NET-SOC 19-1032.00, human-rated β 0.368)](https://github.com/openai/GPTs-are-GPTs/blob/main/data/occ_level.csv), OpenAI

### Historical notes

32. [Biltmore -- "Biltmore: The Birthplace of American Forestry": Pinchot arrived 1892, left 1895, Schenck founded Biltmore Forest School 1898](https://www.biltmore.com/blog/biltmore-the-birthplace-of-american-forestry/), Biltmore Estate
33. [Forest History Society -- "November 30, 1900: Society of American Foresters Founded": charter members listed; Pinchot as first President 1900-1908](https://foresthistory.org/november-19-1900-society-of-american-foresters-founded/), Forest History Society
34. [NWCG -- "Birthday of the U.S. Forest Service: February 1, 1905": Transfer Act signed; Division of Forestry renamed USFS; staff grew from 12 to 700+ by 1905](https://www.nwcg.gov/6mfs/day-in-history/birthday-of-the-us-forest-service-february-1-1905), National Wildfire Coordinating Group
35. [USFS Forest Management Historical Perspective -- National Forest Management Act 1976: required Land and Resource Management Plans; FORPLAN model; drove expansion of professional staff](https://www.fs.usda.gov/forestmanagement/aboutus/histperspective.shtml), USDA Forest Service
36. [FAO -- "Re-inventing the United States Forest Service": spotted owl injunctions and ecosystem management shift caused major reorganization; timber sale planning positions reduced sharply in early 1990s](https://www.fao.org/4/ai412e/ai412e06.htm), Food and Agriculture Organization of the United Nations
37. [KSUT/NPR (May 2026) -- AI technology expands in the Mountain West to reduce wildfires: Pano AI expansion, 50M+ acres, WA DNR result of 95% fires below 10 acres over three years](https://www.ksut.org/2026-05-08/ai-technology-expands-in-the-mountain-west-to-reduce-wildfires), KSUT / NPR Mountain West

### Predecessors & successors

38. [Forest History Society -- "A New Profession Takes Seed": before professional forestry, forests were surveyed by timber scouts seeking merchantable timber for harvest, not management](https://foresthistory.org/education/trees-talk-curriculum/new-profession-takes-seed/introduction/), Forest History Society
39. [Biltmore / National Forest Foundation -- "Biltmore Estate: The Birth of US Forestry": Pinchot and early foresters studied at European schools; Carl Schenck (German) ran Biltmore Forest School](https://www.nationalforests.org/blog/biltmore-estate-the-birth-of-forestry), National Forest Foundation

### Present-day analysis

- [O\*NET 30.3 — Foresters (19-1032.00): 25 tasks, technology skills (ESRI ArcGIS hot tech), knowledge areas, work context, and sample job titles](https://www.onetonline.org/link/summary/19-1032.00), accessed 2026-05-24
- [BLS OOH — Conservation Scientists and Foresters: 13,800 foresters employed 2024; +2% growth 2024-2034; median $70,660/year (2024), $79,170 (2025); ~1,100 annual openings](https://www.bls.gov/ooh/life-physical-and-social-science/conservation-scientists.htm), accessed 2026-05-24
- [Pano AI — Advanced wildfire detection: 725 fires detected 2025 season; ~700 sites in 17 states; 50M+ acres monitored; USFS, BLM, USFWS, and WA DNR agency users; Fast Company Most Innovative Companies 2026](https://www.pano.ai/), accessed 2026-05-24
- [KSUT/NPR affiliates (May 2026) — AI technology expands in the Mountain West to reduce wildfires: Pano AI expansion, 50M+ acres, geofencing alerts by jurisdiction](https://www.ksut.org/2026-05-08/ai-technology-expands-in-the-mountain-west-to-reduce-wildfires), accessed 2026-05-24
- [Deep Forestry — Autonomous sub-canopy drone + AI forest inventory: per-tree LiDAR + RGB scan; 24-hr 3D model delivery; €3M Series A 2025; 1,000+ autonomous flights; 30-100x efficiency gains vs. manual cruise](https://www.deepforestry.com/), accessed 2026-05-24
- [LinkedIn / Superorganism VC — Deep Forestry raises €3M to build the forestry industry's spatial intelligence layer (2025)](https://www.linkedin.com/posts/superorganismvc_deep-forestry-raises-3m-to-build-the-forestry-activity-7458533871463264257-Ue1z), accessed 2026-05-24
- [AFRY Smart Forestry TreeMaps — SaaS drone LiDAR inventory platform: tree-level GIS maps and stand-level aggregation; automated stand delineation; harvest planning and wood flow optimisation in single browser app](https://afry.com/en/services/advisory/afry-management-consulting/forestry/smart-forestry/afry-smart-forestry-treemaps), accessed 2026-05-24
- [American Forest Management / GeoAI (2025) — How AI and GeoAI Are Transforming Modern Forest Management: ArcGIS Field Maps, Survey123, Python, ChatGPT for workflow automation; stand delineation and harvest planning AI becoming mainstream](https://www.americanforestmanagement.com/news/how-artificial-intelligence-is-reshaping-forest-management), accessed 2026-05-24
- [Pix4D — Individual tree crown delineation and species identification from drone imagery using AI segmentation](https://www.pix4d.com/blog/individual-tree-crown-delineation-species-identification), accessed 2026-05-24
- [NCX (Natural Capital Exchange) — AI + satellite Basemap (Microsoft AI for Earth) for harvest-deferral forest carbon: 2M acres, 39 states, ~1,800 landowners; Verra-registered credits; buyers include Microsoft, South Pole, Shell](https://ncx.com/), accessed 2026-05-24
- [Carbon Direct acquires Pachama for AI + satellite digital MRV forest carbon platform (November 2025); Verra/Pachama digital MRV forest carbon crediting methodology (first dMRV Verra methodology)](https://www.esgtoday.com/carbon-direct-acquires-carbon-project-mrv-platform-pachama/), accessed 2026-05-24
- [PMC / Sensors (2022) — Detecting pest-infested forest damage through Sentinel-2 multispectral imagery and improved UNet++: \>85% accuracy for bark beetle damage detection](https://pmc.ncbi.nlm.nih.gov/articles/PMC9570766/), accessed 2026-05-24
- [USFS Research — Forest Pest Detection and Tracking through Harmonized Remote Sensing (Bipartisan Infrastructure Law initiative); GEDI-FIA LiDAR fusion models for national forest inventory (NASA Earthdata)](https://research.fs.usda.gov/nrs/projects/bil-pest-detection-using-harmonized-remote-sensing), accessed 2026-05-24
- [ScienceDirect (2024) — Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning](https://www.sciencedirect.com/science/article/pii/S0034425724000890), accessed 2026-05-24
- [Eloundou et al. 2024 — GPTs are GPTs (Science): occupational LLM exposure framework; Foresters rated low-to-moderate due to high field-work and physical task component](https://arxiv.org/abs/2303.10130), accessed 2026-05-24
- [Society of American Foresters — "AI for Foresters" training (UW-Stevens Point, 2025-2026): foresters adopting AI tools for field data, stand analysis, and workflow automation](https://www.uwsp.edu/wfc/wisconsin-forestry-center/workshops-trainings/ai-for-foresters/), accessed 2026-05-24
- [Esri ArcGIS GeoAI — pro.arcgis.com: pretrained AI models for forest stand analysis, land cover classification; ArcGIS library of AI models doubled to ~70 by 2025](https://doc.esri.com/en/arcgis-pro/latest/help/analysis/ai/geoai.html), accessed 2026-05-24
- [Springer Nature (2025) — Applications of AI in forest health surveillance and management: deep learning for early pest and disease detection at landscape scale](https://link.springer.com/article/10.1007/s44415-025-00061-w?error=cookies_not_supported&code=e0daba21-6013-41a1-9d55-d83964942790), accessed 2026-05-24

How to read these figures: https://futurehistory.earth/methodology. Every figure links to its own source; gaps stay gaps.