Termites and ungulates affect arbuscular mycorrhizal richness and infectivity in a semiarid savanna
Bibliographic record
Abstract
In savanna ecosystems, mound-building termites and ungulate herbivores profoundly affect the abundance and diversity of aboveground organisms. Yet, surprisingly little is known about how these two groups interact to impact belowground communities. Using the Kenya Long-term Exclosure Experiment (KLEE), where ungulate herbivores have been excluded for over 15 years, we examined how the presence of termites and ungulate herbivore exclusion affected species richness, community composition, and infectivity of arbuscular mycorrhizal fungi (AMF). We also measured plant richness and soil nutrients to examine how the effects of termites and ungulate exclusion may indirectly impact AMF communities. AMF richness and infectivity and plant richness were significantly lower on termite mounds than in off-mound areas. AMF infectivity and plant richness were significantly higher in off-mound areas, especially where herbivores had access. Our results revealed a strong suppressive effect of termites on AMF communities that was not enhanced or ameliorated by the presence of ungulate herbivores. Herbivores, by contrast, enhanced the relationship between plants and their fungal symbionts but only in the absence of the suppressive effects of termites. Our results underscore the importance of multiple drivers affecting the patterns of both above- and below-ground communities.
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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) | 0.000 | 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".