Slope aspect influences soil microbial community structure and composition in the Israel arid Mediterranean
Bibliographic record
Abstract
Abstract Microbial biogeographical patterns in Mediterranean ecosystems are becoming widely documented; however, the influences of slope aspect on the microbial community composition and structure are poorly understood. This study tested the hypotheses that slope aspect and organic matter content would influence microbial diversity patterns and distribution. Sets of five soil samples were collected from different slope aspects (north slope, south slopes, and valley bottom) and bacterial and fungal communities were examined using the 16S rRNA gene and ITS1 region sequencing, respectively, on the Illumina HiSeq platform. Organic matter and soil moisture varied significantly across all sites but did not influence microbial diversity patterns. Community structure (Bray-Curtis dissimilarity) indicated that each site had a distinct microbial community, and soil moisture along with organic matter modulated the community structure. Relative abundance of key bacterial taxa ( Actinobacteria and Bacteriodetes ) and fungal taxa ( Ascomycota was significantly influenced by slope aspect. Our results show, for the first time, that the often reported slope aspect dynamics of the soil microbiomes do in fact influence bacterial and fungal community composition and structure. Overall, taken together with previous studies from the region, this study provides novel insight on the physio-chemical properties that modulate the biogeographical patterns of soil microbes and contributes to our knowledge of factors that mediate microbial ecology in Mediterranean ecosystems.
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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".