A 2001 Rule Built to Protect Undeveloped National Forest
The 2001 Roadless Rule (66 FR 3244, 36 CFR Subpart B (2001)) "prohibits road construction, road reconstruction, and timber harvesting in inventoried roadless areas, with limited exceptions." It grew out of a 1999 directive from President Clinton to "provide appropriate long-term protection for most or all of these currently inventoried 'roadless' areas," following the Wilderness Act of 1964 and two national inventories (RARE I in 1973, RARE II in 1977). The rule identifies nine features that often characterize these areas, including high-quality soil, water, and air; sources of public drinking water; habitat for threatened and endangered species; primitive recreation opportunities; and traditional cultural properties and sacred sites. Limited exceptions exist for public health and safety, mineral leases, and small-scale "stewardship" tree cutting, which the rule's own text says is "expected to be infrequent."
This is the baseline the whole DEIS measures against. Because the rule bars road-building and timber harvest by default rather than case by case, it works as a blanket protection, not a site-specific one — which is exactly what rescission would end. Two things in this passage are worth holding onto. First, the document notes that despite the name, "roadless" areas already contain "thousands of miles of existing roads," and gives no mileage for that figure. Second, the 1999 presidential directive the DEIS quotes carries no citation, and two of the reference entries meant to support this history cannot be resolved against the document's own reference list — so the origin story of the rule being rescinded is not, as published, traceable.
Social and Economic Environment
This covers how rescission would affect livelihoods and quality of life — jobs and revenue from timber, minerals and recreation; the standing of nearby counties; and the non-dollar values people attach to roadless land. It mixes quantified estimates for timber and recreation with narrative discussion elsewhere, because the agency says the numbers to project the rest at a programmatic scale do not exist.
Who lives near these areas, and how fast those places are growing
More than 95 percent of roadless acreage outside Colorado and Idaho sits in ten Western states. The document tracks 397 "IRA footprint counties." Their combined population grew 10.6 percent from 2010 to 2024, from 55.1 to 60.9 million — faster than the 9.7 percent national rate — with the fastest growth in the Intermountain, Pacific Northwest and Great Plains regions. Almost half, 191 of 397, are rural.
This is the closest thing in the document to a map of who feels the effects, and it is populated with a single variable. The agency built exactly the county-level frame that an analysis of community-level effects requires, filled it with population and rurality, and then reasoned about county character from data it did not collect — no economic-dependence typology, no poverty rate, no persistent-poverty status, all of which come from a federal classification series the DEIS already cites elsewhere.
Which communities are most "forest-dependent"
Using a published framework, counties are classified as environmentally, economically or socially forest-dependent against set thresholds — 75 percent forest land for the environmental criterion, 10 percent of workers or 15 percent of earnings in forest-sector jobs for the economic one. By that method, 158 of the 397 counties (39.8 percent) are forest-dependent by at least one measure, and 21 (5.3 percent) meet the economic threshold. Nearly 80 percent of the economically dependent counties are rural, and dependency varies sharply — over 90 percent of Northeast footprint counties qualify as environmentally dependent, none in the Great Plains meet any threshold.
This is the agency identifying which communities would feel a policy change most, and it stops there. Table 47's results are not carried forward into the alternative-by-alternative effects discussion, so the document identifies 158 forest-dependent counties and 21 economically dependent ones and never reports what happens to them under each alternative. The counts themselves carry no citation. The DEIS's own compliance catalogue also identifies no authority under which the distribution of effects across communities is analyzed — while its effects text concedes those effects fall unevenly.
Timber jobs: a long decline, with one growing exception
"Since 1980, the amount of timber sold from the NFS has declined by more than 80 percent," driven by policy shifts, markets and litigation. Harvest peaked at 12.7 billion board feet in 1987, fell to 1.7 billion by 2002, and has averaged about 2.5 billion over 15 years — 2.9 billion in 2023, worth about $163 million. Timber-sector employment has fallen 30.5 percent since 2001, steepest in paper manufacturing and forestry/logging. Employment in forestry support services — stewardship contracting and thinning — has grown 25.5 percent.
This decline is the backdrop for expanding harvest opportunity, and the headline figure is not supported by the data printed in the same paragraph. The claim needs correction to a figure the record supports, identifying what is measured — volume, value or acreage — the source, and the endpoint years. There is also a competing explanation the document does not address: independent research finds timber sales on at least the Tongass have run at a deficit, with administrative costs exceeding revenue, which would make part of the historic decline a matter of sale economics rather than regulatory limits. The one growing category is worth noting for a different reason: restoration and thinning work is growing, and it is the category least dependent on new road access.
What timber, minerals, and energy contribute today
In 2023, timber harvest and processing contributed about $5.8 billion to GDP and supported roughly 51,200 jobs. Energy and mineral production contributed more than $7.6 billion and about 37,800 jobs. Eleven large mines generated an estimated $1.4 billion in 2024. Some 3.4 million acres are leased for oil, gas, coal and other minerals; 2024 production was valued at over $4.8 billion and generated $533 million in royalties.
These establish the scale of existing extractive activity, and essentially every 2024-specific figure here is unsourced. That matters because these are the numbers framing what more roadless access could add — and because the same pattern recurs: headline figures in the affected-environment and effects chapters attributed to sources that do not contain them, or absent from the document's own literature-cited list.
Recreation: the biggest number in the room, on a shaky citation
Outdoor recreation supported about $639 billion of U.S. GDP (2.3 percent) — a larger share than mining (1.5 percent) or utilities (1.6 percent). The agency's 193 million acres received about 164 million visits in FY2024. Visitors spent more than $13.4 billion in FY2023, contributing $16.2 billion to GDP and supporting about 167,000 jobs. Wildlife-related visits totaled 16.9 million in FY2023, with $1.2 billion in spending and 14,600 jobs.
Recreation is by far the largest economic interest tied to these lands, by the DEIS's own comparison — and the citation chain under it does not hold. The FY2023 and FY2024 figures are attributed to a source published years before the data they support, across at least six separate statistics. The mining-and-utilities comparison rests on a reference entry identifying no dataset, table or release, so it cannot be reproduced. And the visitation figures themselves sit next to the DEIS's own statement that visits to roadless areas are not tracked separately. These numbers anchor the recreation side of the comparison, and none of them can be checked as published.
What roadless areas specifically are estimated to be worth
Because roadless-area visitation is not tracked, the agency estimates indirectly: in 2024, visitors to the affected forests spent $8.5 billion locally, including $2.2 billion from trail-based and dispersed recreation and $753 million from hunting, fishing and wildlife viewing. Potentially affected roadless areas make up about 31 percent of non-wilderness land in those forests; applying that share yields an estimated $886 million in spending tied to roadless recreation — comparing well with an independent 2018 estimate of about $605 million for 2017. A similar approach yields $15 billion in total recreation economic benefit across the affected forests, roughly $1.9 billion attributable to the roadless areas.
This is the agency's own estimate of the economic value riding on the areas being opened, and it dwarfs the projected timber and mineral gains discussed below, which run in single-digit millions per year. Three defects sit in the derivation. The $8.5 billion base is uncited. The 31 percent allocation is applied to produce figures that do not reproduce — the published magnitudes work out to 30 percent, not 31. And the source key carrying every roadless-attributed spending figure has no entry in the document's Literature Cited section at all. The Economic Analysis states the underlying limitation plainly: "the number of recreation visits to IRAs is unknown and, thus, the recreation visitor spending in local communities associated with IRA recreation cannot be directly quantified." An acreage-proportionality assumption is standing in for that, and the document never states it.
Alternative 1 — No Action: no new timber revenue from roadless areas
National harvest could still rise by an estimated 25 percent, but harvest from roadless areas would not increase — "there would continue to be no revenue, or benefits to the timber industry, from timber harvest in inventoried roadless areas." Existing mineral activity continues; new leases carry no-surface-occupancy restrictions. Recreation sees little near-term change, with a long-term risk that trails and access deteriorate if maintenance cannot reach them. Non-commodity and social values are conserved.
This is the reference point for both action alternatives, and it contradicts the document's own harvest discussion: at page 79 the DEIS states that some portion of the projected national increase would land inside the potentially affected areas. Which statement governs determines how large an increment the rescission gets credited with — the entire economic case for the action alternatives is the difference between these two accounts.
Alternative 2 — Proposed Action: the most timber and mineral opportunity, the most recreation-economy risk
Removing the prohibitions "would provide the greatest opportunity for an increase in annual timber harvest and revenue for the timber industry and an economic benefit loss to recreationists" — an estimated $5.2–11.4 million per year in additional agency timber revenue and a 5–10 percent national sawtimber increase. On recreation, upper-bound annual losses of about $7 million in trail and dispersed spending and $2 million in wildlife-related spending, plus up to $4.8 million and $1.3 million in lost economic benefit. On minerals, no net change in leasable production is expected because output depends on global markets. New roads could expand fuels treatment, but the gain "would be modest" given road costs and declining budgets. Possible losses include diminished air and water quality, degraded scenery, reduced solitude, altered special places, and "a threat to existence values."
The DEIS's own figures show the timber gain is small next to the recreation value tied to the same land. What the document does not report is the net. The Cost Benefit Analysis does: a net present value spanning from a $92 million loss to a $199 million gain at 3 percent over 15 years. The DEIS states no net figure at all. The favorable end of that range also drops a cost the agency's own footnote names — a $6.1 million annual recreation floor — while counting a timber benefit the same passage labels "hypothetical." That $6.1 million figure is itself derived as an upper limit and then called a minimum. Two further omissions on the cost side: the analysis publishes per-mile road costs and files agency road maintenance burden as unquantified, and it leaves invasive-species establishment and treatment at zero after conceding activity could increase spread. The harvest projection carrying the benefit side is stated five separate ways across the record in three different ranges, on a volume model never disclosed.
Alternative 3 — Modified Rule: smaller footprint, proportionally smaller effects — on paper
Prohibitions are removed only within a half-mile of existing roads or within the wildland-urban interface. The estimate is $4.2–9.7 million per year in agency revenue and a 4–9 percent national increase — "some opportunity for an increase," less than Alternative 2. Recreation losses would be smaller and easier to absorb because more undisturbed acreage remains to receive displaced visitors. Fuels effects are similar to Alternative 2, concentrated near communities.
A scaled-down version on paper. The quantified effects assume the half-mile and interface boundary is fixed, and the rule text sets no distance or interface criteria at all — it lets the Chief modify boundaries "for other reasons." The acreage and dollar effects modeled here may not match what the adopted rule produces. And the two alternatives' harvest ranges overlap across nearly their entire width, which means the economic difference the comparison reports may not be a difference the disclosed information can establish.
Wildfire and fuels management: costs, benefits, and a built-in caveat
About 9.8 million acres (24.4 percent) of affected roadless areas overlap the statutory wildland-urban interface. Fuel treatment costs $100 to $500 per acre, reaching $2,000 or more in complex areas; the national fuels budget exceeds $400 million annually, treating over 3 million acres. Restoration work returns more than seven dollars per dollar invested in high-risk watersheds, per one cited study. Under both action alternatives new road access could expand mechanical treatment, but "the high cost of road building and declining budgets for road construction and maintenance mean the overall increase in treatment capacity would be modest."
This is the agency tempering its own wildfire rationale: the practical treatment gain from new roads is limited by cost and budget, not only by the rule's prohibitions. The Economic Analysis says the other half — that "while wildfire risk reduction in IRAs is not quantified in this analysis, any reduction in risk provides meaningful benefits" — so the benefit is unquantified on one side while the conceded ignition cost sits at zero on the other. Both documents acknowledge that increased public road access could raise wildfire number and frequency; neither carries it into the accounting.
Non-commodity values: the side of the ledger without price tags
The document lists social values tied to roadless land — ecosystem health, species and water-quality conservation, scenic quality, solitude, sense of place, legacy for future generations, and existence values. Under Alternative 2 these could be diminished through reduced air and water quality, degraded scenery, less solitude and altered special places. Alternative 1 and the retained portions of Alternative 3 conserve them.
These are described qualitatively while timber, mineral and recreation figures get dollars — the same asymmetry that runs through the document. It is worth noting that the Cost Benefit Analysis does price one of them: forgone passive use values at $5.3 to $11.5 million annually. So the agency has demonstrated it can quantify existence value when it chooses to, which makes the qualitative treatment here a choice rather than a limitation.
The DEIS's own bottom line — and the community screening it doesn't run
Alternative 2 "enhances the quality of life for people that value timber harvest and potential mineral and energy development," and both action alternatives "similarly enhance the quality of life for people living in communities near the IRAs" through wildfire-mitigation opportunity. Alternative 2 "would have the greatest negative effects to those who primarily use recreation opportunities located within IRAs, businesses and communities that depend on the spending of recreationists using IRAs, and those that hold intrinsic value for the existence of roadless areas."
The DEIS frames a trade-off between groups and never asks which groups. It does not identify whether the burdens fall on low-income, minority, Tribal or subsistence communities, and it runs no distributional screening of the divergent impacts its own socioeconomic discussion describes. The county frame needed to run that analysis is already built — 397 counties, 158 forest-dependent, 21 economically dependent — and populated with one variable. Two specific gaps follow. The DEIS identifies Southeast Alaska as where its own measure of community dependence binds hardest and carries that finding into no analysis of who bears the subsistence consequences. And the Regulatory Flexibility certification divides a loss the analysis itself calls local across every firm in the country, publishing two denominators three orders of magnitude apart — which is how a $9 million regional loss becomes an insignificant per-firm impact. One more thing sits in the county-revenue rationale: the DEIS ties timber harvest to county tax revenue, and the agency's own analysis states that "timber revenue after FY 1999 does not impact the calculation of payments to states and counties from the Secure Rural Schools Act."