Sensitivity tests of the integrated biosphere simulator to soil and vegetation characteristics in a pacific coastal coniferous forest
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Testing and sensitivity analysis of the Integrated Biosphere Simulator (IBIS) were performed for a range of vegetation and soil variables at a temperate coniferous forest site on eastern Vancouver Island, British Columbia, Canada. Vegetation structure and species composition, as well as seasonal changes in vegetation cover fraction and leaf area index, were imposed based on observed data. Simulated fluxes of sensible and latent heat, soil heat and net carbon exchange, and related estimates of soil temperature, soil moisture, and abiotic decomposition, were first compared to a complete year (1998) of half‐hourly observed data. The model reproduced observed daily, seasonal and yearly fluxes reasonably well, and was particularly successful in estimating the magnitude of net annual carbon uptake. Because of the high spatial variability in soil moisture content, however, it was difficult to obtain a complete assessment of model performance. Soil texture classification was found to have important effects on all fluxes, and particularly on estimates of soil decomposition, raising concerns about the effects of using spatially aggregated soils data for driving regional and global simulations. Simulation of net ecosystem exchange was also found to be highly sensitive to the value selected for canopy fractional cover and maximum carboxylase activity, Vmax, which suggests that environmental factors, such as limited nutrient availability and changes in vegetation type, will have important impacts on predictions of productivity and carbon budget. Résumé [Traduitpar la rédaction] On a entrepris la mise à l'essai et l'analyse de la sensibilité du simulateur intégré de la biosphère (IBIS) pour une gamme de variables de la végétation et du sol à un site en forêt coniférienne tempérée dans l'est de l'île de Vancouver, en Colombie‐Britannique (Canada). La structure de la végétation, la composition taxinomique et les changements saisonniers de la fraction du couvert et de l'indice foliaire ont été imposés en fonction des données observées. Les flux simulés de chaleur sensible et de chaleur latente, la chaleur du sol et l'échange net de carbone, de même que des estimations connexes de la température du sol, de l'humidité du sol et de la décomposition abiotique ont d'abord été comparés aux données semi‐horaires observées au cours d'une année complète (1998). Le modèle a réussi raisonnablement bien à reproduire les flux quotidiens, saisonniers et annuels observés, et a réussi particulièrement bien à estimer l'ampleur de l'absorption annuelle de carbone. Toutefois, en raison de la grande variabilité spatiale de l'humidité du sol, il a été difficile de faire une évaluation complète du rendement du modèle. On a constaté que la classification de la texture du sol a des répercussions marquées sur tous les flux et notamment sur les estimations de la décomposition du sol, ce qui soulève des préoccupations quant à l'utilisation des données sur les sols agglomérées dans l'espace pour les simulations régionales et globales. On a également constaté que la simulation de l'échange net de l'écosystème est très sensible à la valeur choisie pour le couvert sélectif et l'activité carboxylase maximum, Vmax, ce qui porte à croire que des facteurs environnementaux, tels que la disponibilité limitée des substances nutritives et les changements dans le type de végétation, auront des répercussions importantes sur les prévisions en matière de productivité et de bilan du carbone. Notes Corresponding author's current affiliation: Center for Sustainability and the Global Environment, Gaylord Nelson Institute for Environmental Studies, University of Wisconsin‐Madison, 1710 University Ave., Madison, WI 53705, U.S.A. e‐mail: melmaayar@facstaff.wisc.edu
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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