Anthropogenic impacts on seagrass habitat connectivity: a model to explore potential links between human activity and marine invertebrate metapopulation persistence
Bibliographic record
Abstract
Coastal ecosystems face numerous stressors from anthropogenic activities. Furthermore, local stressors that directly impact ecological processes in one location can scale up to have indirect regional consequences. In the case of dispersing marine invertebrates, human activity may impact dispersal and survival rates, which can then alter connectivity patterns and metapopulation dynamics across the seascape. Here, we developed a framework to model metapopulation persistence of seagrass-associated invertebrates in the Salish Sea, focusing primarily on British Columbia, Canada. We combined a biophysical model of dispersal with metrics of habitat naturalness to model how local human activities that may impact dispersal can alter habitat connectivity patterns and potentially impact regional metapopulation persistence. We found that human activities that potentially impact dispersal can reduce population persistence across a region, although the effect varied based on location, population dynamics, and severity of the impacts modeled. The majority of populations, however, remained persistent, suggesting that there are robust and redundant pathways of dispersal that can maintain population connectivity in the face of local disturbances. This study highlights the importance of understanding human impacts and connectivity together in a regional context which could have implications for future marine spatial planning and the effective management of biodiversity.
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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 | 0.000 |
| 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) | 0.000 | 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".