A comparative kinetic analysis of nitrate and ammonium influx in two early‐successional tree species of temperate and boreal forest ecosystems
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Bibliographic record
Abstract
ABSTRACT Root NO 3 − and NH 4 + influx systems of two early‐successional species of temperate (trembling aspen: Populus tremuloides Michx.) and boreal (lodgepole pine: Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) forest ecosystems were characterized. NO 3 − and NH 4 + influxes were biphasic, consisting of saturable high‐affinity (HATS) and constitutive non‐saturable low‐affinity transport systems (LATS) that were evident at low and relatively high N concentrations, respectively. NO 3 − influx via HATS was inducible (IHATS); nitrate pre‐treatment resulted in 8–10‐fold increases in the V max for influx in both species. By contrast, HATS for NH 4 + were entirely constitutive. In both species, V max values for NH 4 + influx were higher than those for NO 3 − uptake; the differences were larger in pine (6‐fold) than aspen (1·8‐fold). In aspen, the K m for NH 4 + influx by HATS was approximately 3‐fold higher than for IHATS NO 3 − influx, while in pine the K m for IHATS NO 3 − influx was approximately 3‐fold higher than for NH 4 + influx. The aspen IHATS for NO 3 − influx appeared to be more efficient than that of pine ( V max values for aspen being approximately 10‐fold higher and K m values being approximately 13‐fold lower than for pine). By contrast, only small differences in values for the NH 4 + HATS were evident between the two species. The kinetic parameters observed here probably result from adaptations to the N availabilities in their respective natural habitats; these may contribute to the distribution and niche separation of these species.
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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