Effects of land use on the structure and function of leaf‐litter microbial communities in boreal streams
Bibliographic record
Abstract
Summary Microbial communities associated with leaf litter in streams provide key ecosystem services through the cycling of energy and nutrients that can be influenced by environmental factors. We examined the effects of land use on leaf‐litter microbial communities in boreal streams by comparing the structural (i.e. fungal and bacterial biomass and community composition by next generation sequencing) and functional (i.e. decomposition, and extracellular enzyme activities) characteristics of the microbial communities. Streams draining watersheds with histories of fire, logging, industrial‐mining and urban watershed activity were compared to reference streams. The most severely disturbed industrial and industrial‐urban streams had the lowest rates of microbial litter decomposition, greatly decreased fungal biomass and lacked the ubiquitous bacterial genera Pseudomonas , and Amantichitinum . Hydrolase activity was lowered in all streams with a history of disturbance, with potential adverse effects on energy and nutrient cycling. Our findings demonstrate that the microbial cycling of energy and nutrients in the boreal aquatic ecosystem is affected by land‐use disturbance and illustrate the excellent potential of using microbial communities to track the effects of watershed disturbance and restoration efforts on boreal shield aquatic ecosystems.
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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 | 0.001 |
| 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".