Temporal Dynamics in the Concentration, Flux, and Optical Properties of Tree‐Derived Dissolved Organic Matter in an Epiphyte‐Laden Oak‐Cedar Forest
Bibliographic record
Abstract
Abstract Studies on the fate and transport of dissolved organic matter (DOM) along the rainfall‐to‐discharge flow pathway typically begin in streams or soils, neglecting the initial enrichment of rainfall with DOM during contact with plant canopies. However, rain water can gather significant amounts of tree‐derived DOM (tree‐DOM) when it drains from the canopy, as throughfall, and down the stem, as stemflow. We examined the temporal variability of event‐scale tree‐DOM concentrations, yield, and optical (light absorbance and fluorescence) characteristics from an epiphyte‐laden Quercus virginiana ‐ Juniperus virginiana forest on Skidaway Island, Savannah, Georgia (USA). All tree‐DOM fluxes were highly enriched in dissolved organic carbon (DOC) compared to rainfall, and epiphytes further increased concentrations. Stemflow DOC concentrations were greater than throughfall across study species, yet larger throughfall water yields produced greater DOC yields versus stemflow. Tree‐DOM optical characteristics indicate it is aromatic‐rich with fluorescent DOM dominated by humic‐like fluorescence, containing 10–20% protein‐like (tryptophan‐like) fluorescence. Storm size was the only storm condition that strongly correlated with tree‐DOM concentration and flux; however, throughfall and stemflow optical characteristics varied little across a wide range of storm conditions (from low magnitude events to intense tropical storms). Annual tree‐DOM yields from the study forest (0.8–46 g C m −2 yr −1 ) were similar to other yields from discrete down‐gradient fluxes (litter leachates, soil leachates, and stream discharge) along the rainfall‐to‐discharge flow path.
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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 | 0.002 | 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 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".