Impact of carbon value on the profitability of slash pine plantations in the southern United States: an integrated life cycle and Faustmann analysis
Bibliographic record
Abstract
The emergence of voluntary carbon markets provides an additional income opportunity to nonindustrial private forest (NIPF) landowners because of the carbon sequestered in forest biomass. This study integrates life cycle analysis and the modified Faustmann model to assess the impact of carbon payments on the optimum rotation age and profitability of 1 ha of privately owned but intensely managed slash pine ( Pinus elliottii Engelm.) plantation in the southern United States. Guidelines of the Chicago Climate Exchange were followed for carbon payments. When carbon payments were included, land expectation values (LEVs) were found to be about $1384·ha –1 and $1063·ha –1 for the with and without thinning scenarios, respectively. When payment for carbon sequestered in the live forest biomass was included, LEVs increased to about $2807·ha –1 and $2765·ha –1 for the aforementioned scenarios, respectively. No significant change in the optimum rotation age was observed in the presence of carbon payments. Results suggest that voluntary carbon markets could play a key role in improving the financial returns to NIPF landowners.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".