Habitat differentiation and the ecological costs of hybridization: the effects of introduced mulberry (<i>Morus alba</i>) on a native congener (<i>M. rubra</i>)
Bibliographic record
Abstract
Summary The effects of hybridization on the abundance of parental taxa depends on their relative frequency, the viability of hybrid offspring and the degree of ecological differentiation among parental and hybrid taxa. Habitat overlap can facilitate competition for suitable sites and threaten the persistence of parental taxa, especially those in small populations. Here we examine ecological differentiation between the endangered North American red mulberry (Morus rubra), introduced white mulberry (M. alba) and red × white hybrids in a reciprocal transplant experiment. Fitness of red, white and hybrid mulberry was estimated as survival and above‐ground biomass of seedling and juvenile life stages, transplanted into open (white habitat) and shaded (red habitat) forest environments. In addition, all taxa, including reciprocal hybrids (R × W, W × R), were compared in a common garden in full sun. In the reciprocal transplant study, red mulberry was consistently less fit than white and hybrid mulberry regardless of transplant habitat; F1hybrids were as fit as white mulberry. In the common garden, red mulberry and hybrids with red mothers had lower fitness than white mulberry and hybrids with white mothers. Reciprocal hybrid crosses differed significantly with respect to survival and cumulative fitness, but not biomass. Red mulberry is not ecologically differentiated from white or hybrid mulberry in the three transplant environments examined; rather, it is consistently the least fit taxon. Therefore, all else being equal, hybridization with white mulberry and the subsequent presence of hybrids will place red mulberry at a strong disadvantage during establishment. The results highlight the potential effect of hybridization by introduced species on the abundance of native species, particularly at the northern extremes of its geographical range, where populations are small and native environments may be degraded or at the limits of ecological tolerance.
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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 | 0.001 |
| 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".