A peatland productivity and decomposition parameter database
Bibliographic record
Abstract
Abstract A peatland productivity and decomposition parameter database was compiled to estimate parameters for the Canadian Model for Peatlands (Ca MP ); a module developed by the Canadian Forest Service to address the need for national‐scale greenhouse gas emission estimates from peatlands present in the forested area of Canada. Data were compiled for 186 peatland sites from 69 sources. The SITES table contains wetland classification, tree classification, province or state, country, latitude, longitude, and an indication of coordinate accuracy. The NPP ALL table contains annual net primary productivity ( NPP ; g·m −2 ·yr −1 ) data for cases where one estimate for NPP was reported for all aboveground vegetation. The NPP SHRUB , NPP MOSS , and NPP HERB SEDGE tables each contain a classification of species (if available) or vegetation layer and their NPP (g·m −2 ·yr −1 ). The BIOMASS TREE , BIOMASS SHRUB , BIOMASS HERB SEDGE , and BIOMASS MOSS tables each contain a classification of species (if available) or vegetation layer and their standing aboveground biomass (g/m 2 ). Shrubs in the NPP SHRUB and BIOMASS SHRUB tables were further classified into low or tall shrubs, and plants in the NPP HERB and BIOMASS HERB tables into herbs or sedges. The DECAY LITTER table contains decomposition parameters for different litter types and contains a classification of the type of decomposition study, study duration, information on experimental treatments, classification of above‐ or belowground plant parts, plant species, litter classification, root litter diameter, indication of hardwood or softwood, indication of evergreen or non‐evergreen, litter bag depth classification, classes for bag placement relative to the water table and relative to the peat surface, water table depth, decay rate ( k exponent), and mass loss values for years 1, 2, 3, 6, 7, 12, and 23 of a decomposition study. The REFERENCES table contains complete citation information and provides links to the source reference pdf file. This data set is vital to the national Canadian peatland modeling effort and should be useful to other peatland scientists and ecosystem modelers. © Her Majesty the Queen in Right of Canada, 2018. Information contained in this publication or product may be reproduced, in part or in whole, and by any means, for personal or public non‐commercial purposes, without charge or further permission, unless otherwise specified. You are asked to exercise due diligence in ensuring the accuracy of the materials reproduced; indicate the complete title of the materials reproduced, and the name of the author organization; and indicate that the reproduction is a copy of an official work that is published by Natural Resources Canada ( NRC an) and that the reproduction has not been produced in affiliation with, or with the endorsement of, NRC an. Commercial reproduction and distribution are prohibited except with written permission from NRC an. For more information, contact NRC an at copyright.droitdauteur@nrcan-rncan.gc.ca .
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.
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 | 0.000 | 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) | 0.002 | 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".