Modelling the ecohydrological plasticity in soil hydraulic properties of <i>Sphagnum</i> mosses
Bibliographic record
Abstract
Abstract Sphagnum mosses are a keystone peatland species whose ecohydrology governs carbon sequestration processes in many peatlands. Globally, there are ~380 Sphagnum species that occupy a wide range of ecohydrological niches (microforms) based on their ability to grow at or above the water table, broadly grouped by hummock (furthest from water table), lawn, and hollow (closest to water table) microforms. The further from the water table a given species can grow is controlled by the ability to effectively retain and transmit water to the capitula (growing surface) during dry periods. However, Sphagnum species can have a relatively plastic ecohydrological niche, often occupying different niches (microforms) in different environments. We used numerical modelling parameterized by previous field and laboratory studies to compare the hydrological function between Sphagnum hummock, lawn, and hollow microforms. We determined (a) how two different organizations of a hummock of Sphagnum fuscum and (b) a lawn or hollow of S. magellanicum ( S. divinum / S. medium ) or S. rubellum differed between two different overarching climates (sub‐humid boreal and humid temperate). The hydrological function, expressed as the cumulative water fluxes, was similar between species and ecohydrological microform (water table position) when water was plentiful, despite differences in soil hydraulic properties of the same species, but began to diverge during a prolonged simulated dry period (30‐day drought). These results suggest a single species of Sphagnum moss can exhibit a wide range of soil hydraulic properties ( i.e ., sphagnum morphology) but have essentially the same consequential hydrology. Only the S. fuscum from the sub‐humid climate was hydrologically stressed enough to show differences in the simulated evaporation rates. This study highlights the need for more physical research to determine the sensitivity of Sphagnum spp.'s soil hydraulic properties to overarching hydroclimatic factors so that we can more effectively incorporate these processes into large‐scale numerical modelling efforts.
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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 | 0.000 | 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) | 0.001 | 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 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".