An ecoregionalization of the Sierra Madre Occidental, México, based on non-volant, small mammal distributions
Bibliographic record
Abstract
The Sierra Madre Occidental (SMO) is the largest mountain range in Mexico, spanning nearly 1,400 km from northwest to southeast. It is a region of high ecological complexity, yet, few attempts at ecoregionalization are available. Using Maxent and five high-resolution (30 m) physiographic layers, we generated niche models for 33 species of small, non-flying mammals. We generated a proposal of regions based on the proportion of overlap of all possible pairs of species niches (ordinated using PCoA) and environmental data. We compared the resulting ecoregionalization with the most detailed regionalizations of the SMO available, based on floristic, vegetational, and bird distribution data. PCoA revealed two major axes of variation related to elevation and humidity, and therefore to vegetational composition. Our regionalization is consistent with previous regionalizations in recognizing a tropical and a xerophilous region, but not a transitional Madrean Tropical. We identified the highlands as a north-south continuum, and a transitional region was identified between the xerophilous and highland areas. Differences in ecoregional patterns in taxa as different as mammals and plants, are evidence that the SMO’s complexity goes beyond the more traditional Nearctic-Neotropical subdivision.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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; both teacher heads agree on what is shown here.
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".