Spatio‐temporal analyses show conflicting evidence of the role of an invasive minnow in the decline of an endangered desert fish endemic to the south‐western U.S.A.
Bibliographic record
Abstract
Abstract Invasive species are often blamed for the declines of native species, although this is often based on anecdotal or incomplete evidence. In the Virgin River (U.S.A.), the red shiner minnow ( Cyprinella lutrensis ) has been identified as a major factor in woundfin ( Plagopterus argentissimus ) decline, a critically endangered endemic minnow. We assessed the evidence for the hypothesis that negative interactions between these two fish drove this decline. We tested three predictions: (1) spatial and temporal patterns were significant predictors of assemblage structure; (2) red shiner would show opposite spatial and temporal patterns to native species; and (3) woundfin would show site‐specific decreases in abundance following red shiner invasion. We used a long‐term (28 years) dataset of fish abundances in the Virgin River at 10 regularly monitored sites to test our predictions. Using principal coordinates of neighbour matrices with redundancy analysis, we tested our first two predictions by identifying the temporal and spatial structure of the fish assemblages and comparing the patterns of native fish species to those of the invasive fish species. To test our third prediction, we used a breakpoint analysis of site‐specific population data to determine if woundfin showed stable populations prior to red shiner invasion, followed by declines after invasion. We found that 42% of variation in fish abundances in the river could be explained by spatial patterns, and 12% by temporal patterns. Red shiner showed opposite spatial and temporal patterns to woundfin (but not to other native species), and abundances of red shiner and woundfin were negatively correlated, yielding correlative evidence of negative interactions between red shiner and woundfin. However, our breakpoint analysis did not show the expected patterns and woundfin declined even in sites that did not experience red shiner invasion pointing to alternate mechanisms of decline such as effects of poor water quality. Our analyses provided correlative but conflicting evidence of red shiner influence on woundfin but were unable to identify a definitive causal mechanism of woundfin decline. We discuss two possible explanations for the contemporary woundfin decline and red shiner invasion: displacement of woundfin via negative interactions, or replacement of woundfin by red shiner in a niche already vacated by woundfin due to environmental or anthropogenic disturbances. This study demonstrates that the dynamics between native and non‐native species may not be straightforward and can be complicated by other factors such as anthropogenic activities and environmental changes. This research highlights that long‐term monitoring is essential to untangling interactions between native and invasive species to develop effective conservation methods that address underlying causes of decline.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".