Dielectric and hydraulic response of selected forest canopies at the BOREAS test sites in Canada
Bibliographic record
Abstract
The Boreal Ecosystem-Atmosphere Study (BOREAS) is a multidisciplinary field and remote sensing study the goal of which is to obtain an improved understanding of the interactions between the boreal forest biome and the atmosphere in order to clarify their roles in global change. The two principal BOREAS field sites, both located within Canada, are located in the southern boreal ecotone, encompassing Prince Albert National Park, Saskatchewan, and in the northern boreal ecotone near Thompson, Manitoba. This paper presents a very brief synopsis of measurements that were performed at the BOREAS experiment sites to examine the dielectric and hydraulic properties of several tree species within these sites. The authors installed instrumentation designed to allow characterization of the hydraulic response of the vegetation in five stands within the BOREAS area. The five selected stands were: (1) Old Black Spruce, (2) Old Black Spruce, (3) Old Aspen, (4) Old Jack Pine and (5) Young Jack Pine. Within each stand, xylem water flux and bole temperature were monitored in several trees. Microclimate and transpiration measurements were supplemented with mid-canopy air temperature and relative humidity observations to allow calculation of mid-canopy vapor pressure deficit. Also, soil temperature was monitored at various depths to obtain temperature profiles. These measurements were obtained continuously in most of the stands throughout most of 1994. Xylem water potential was also monitored at various times throughout the season. This work has especial importance for radar remote sensing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".