Carbon and Greenhouse Gas Accounting of Forest Operations in FPInterface
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Developed by FPInnovations, FPInterface is an operational-level simulation platform for forest supply activities from the harvest site to the mill gate. The software can model, simulate and optimize forest operations directly from the GIS planning maps. The analysis is done at the block level for a forest management unit and provides the cost and volumes of all products harvested from the selected blocks. The basic platform allows for cost calculations of harvesting, road construction, transport and regeneration. Additional modules are also available for optimizing transport routes, biomass supply flow and cost estimates, operational scheduling and value chain decisions. The software offers a tactical and operational forest planning tool in the context of Canadian forest operations.FPInterface considers all fossil fuel inputs and biomass outputs based on product specifications, harvesting decisions, equipment selection, road network and stand conditions. Therefore, the software offers an opportunity for the development of functionalities for greenhouse gas emissions accounts and carbon budgets for woody feedstock. The main objective of this paper is to describe the calculation of carbon ratio in a module of the FPInterface software. Furthermore, a scenario analysis was conducted, where the usability of the module was demonstrated. The objectives of the analysis were to show the impact of tree size on carbon emissions and to compare different supply chains for biomass in terms of carbon ratios.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it