Mycogeography and Ecology of Ectomycorrhizal Fungi in Northern México
Bibliographic record
Abstract
Occurrence of 350 species of ectomycorrhizal (ECM) fungi in the study area associated with 149 putative hosts. Up to 253 species occur at the Sierra Madre Oriental (SME) in Mexico, 248 different species occur at the Sierra Madre Occidental (SMW) in Mexico, 185 species are common at the northwest of United States (NW-USA), 165 occur at the northeast of United States (NE-USA) and 82 have been reported from the northeast of Canada (NE-CAN). According to the similarity matrix results obtained show that the sites with the greatest similarity of ECM fungi are SME/NE-USA (79%) sharing 196 species; the species shared at the SMW/NW-USA account for (72%) (176 species). The species found at both sites are greater than 50% of the total species found throughout the area. According to the Jaccard index ranges, the lowest similarity values were found in the NE-CAN-related areas (<30%). A categorization of species was carried out based on their presence in the distribution areas. Thus, generalist species may occur at the five study sites i.e., they have a wide distribution. A very frequent species is that occurring at four out of the five sites and a particular species is that present in a single record site. Results show that 52 species are reported at five sites, i.e., they are generalists; 51 species occur at four sites i.e., they are frequent, and 28 species are only reported from a single site i.e., they are specific. Regarding the specific distribution, 18 species are reported only from the SMW area and 10 from the SME. Results show that ECM fungi are diverse in the study area and form symbiotic nutritional interactions with animals that contribute to spore dispersion and forest health in the ecosystem. Human-related activities (e.g., forest fires, illegal logging, cattle ranchers) and forest fragmentation together with climate change may affect the survival of all nutritionally associated symbiotic species in temperate forests.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".