The impacts of changes in federal timber harvest on forest carbon sequestration in western Oregon
Bibliographic record
Abstract
This study examines the potential impacts of changes in federal timber harvest, acting through regional log markets, on the sequestration of carbon in forests and forest products in western Oregon. We construct a dynamic model of the region’s log markets in which market prices, log consumption at mills, and timber harvests and timber inventories on private, federal, and state forests are endogenous. Absent any policies regulating forest carbon sequestration, simulations show that regional carbon flux in forests and forest products would gradually decline as federal harvest rises from recent historical levels. If regional forest carbon flux were constrained to meet some minimum target, however, projections indicate that there would be opportunities for substituting carbon sequestration between federal and nonfederal lands through coordination of harvests across ownerships. We find that relatively small reductions in average private harvest could offset substantial losses of carbon flux on federal timberlands caused by increased federal harvest. One mechanism for achieving the changes needed in private harvest to meet a regional carbon flux target would be a carbon tax/subsidy program or a carbon offset market. For example, if federal owners offered timber for sale equal to the maximum sustainable level under the Northwest Forest Plan, our analysis indicates that a carbon price of roughly $US 19 per tonne of carbon would be sufficient to induce private owners to undertake the harvest and management modifications necessary to maintain regional forest carbon flux at its level in the early 2000s.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".