The effect of two arbuscular mycorrhizal inocula of contrasting richness and the same mycorrhizal potential on the growth and survival of wild plant species from La Gran Sabana, Venezuela.
Bibliographic record
Abstract
Diversity of arbuscular mycorrhizal fungi (AMF) is potentially important for the productivity and functioning of plant communities. However, from results published to date, it is unclear whether the increase in productivity and plant diversity obtained with increased AMF richness is a consequence of higher richness in itself or whether it is caused simply by an uncontrolled, higher mycorrhizal potential in the more diverse AMF inocula used. The aim of the present work was to evaluate the effect of AMF richness on the biomass and survival of several wild plant species from La Gran Sabana, Venezuela, comparing AMF inocula of varying richness but with similar mycorrhizal potential. We studied the effect of two inocula (containing two and five AMF species respectively, each with 600 propagules/100 g of soil) on growth and survival in a community composed of three woody species indigenous to La Gran Sabana. No differences were found in dry mass production or plant survival when the two inocula of contrasting richness were compared. Reasons for such results include the life history strategies of the AMF used in the present work.Key words: arbuscular mycorrhizal fungi, arbuscular mycorrhizal fungal diversity, microcosm, species richness, biodiversity, tropical species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".