Identifying Alternate Pathways for Climate Change to Impact Inland Recreational Fishers
Bibliographic record
Abstract
Abstract Fisheries and human dimensions literature suggests that climate change influences inland recreational fishers in North America through three major pathways. The most widely recognized pathway suggests that climate change impacts habitat and fish populations (e.g., water temperature impacting fish survival) and cascades to impact fishers. Climate change also impacts recreational fishers by influencing environmental conditions that directly affect fishers (e.g., increased temperatures in northern climates resulting in extended open water fishing seasons and increased fishing effort). The final pathway occurs from climate change mitigation and adaptation efforts (e.g., refined energy policies result in higher fuel costs, making distant trips more expensive). To address limitations of past research (e.g., assessing climate change impacts for only one pathway at a time and not accounting for climate variability, extreme weather events, or heterogeneity among fishers), we encourage researchers to refocus their efforts to understand and document climate change impacts to inland fishers. La literatura sobre las dimensiones humana y de las pesquerías sugieren que el cambio climático influencia a los pescadores recreativos en aguas continentales de Norte América de tres formas principales. La forma más ampliamente reconocida es que el cambio climático impacta a las poblaciones de peces y a su hábitat (e.g. la temperatura del agua impacta la supervivencia de los peces) y se transfiere hasta eventualmente afectar a los pescadores. El cambio climático también puede alterar las condiciones ambientales que directamente impactan a los pescadores recreativos (e.g. incremento de temperatura en climas norteños que resultan en una prolongación de las temporadas de pesca y en un aumento en el esfuerzo de pesa). La tercera forma de impacto proviene de los esfuerzos de adaptación y mitigación al cambio climático (e.g. el refinamiento de políticas energéticas se ve reflejado en un aumento en el costo de los combustibles, encareciendo los viajes de pesca). Con el fin de superar las limitaciones de trabajos en el pasado (e.g. evaluar los impactos del cambio climático para una sola vía por vez y no tomar en cuenta la variabilidad climática, eventos meteorológicos extremos o heterogeneidad entre pescadores) en este estudio se invita a los investigadores a enfocar sus esfuerzos para comprender y documentar los impactos del cambio climático en los pescadores de aguas continentales. Les pêches et la littérature à dimension humaine suggèrent que le changement climatique influence les pêcheurs sportifs en Amérique du Nord par le biais de trois voies principales. La voie la plus largement reconnue suggère que le changement climatique a un impact sur l'habitat et la population de poissons (par exemple, la température de l'eau ayant une incidence sur la survie des poissons), lequel se répercute sur les pêcheurs. Le changement climatique a également un impact sur les pêcheurs sportifs en influençant les conditions environnementales qui les affectent directement (par exemple, l'augmentation des températures dans les climats nordiques qui induit l'extension des saisons de pêche en eau libre et l'augmentation de l'effort de pêche). L'atténuation du changement climatique et les efforts d'adaptation (par exemple, les politiques énergétiques affinées entraînent des coûts plus élevés en carburant, ce qui rend les voyages lointains plus chers) sont les voies ultimes. Pour faire face aux limitations de recherches antérieures (par exemple, l'évaluation des impacts du changement climatique pour une seule voie à la fois et sans tenir compte de la variabilité du climat, des phénomènes météorologiques extrêmes, ou de l'hétérogénéité entre les pêcheurs), nous encourageons les chercheurs à recentrer leurs efforts de compréhension et à documenter les effets du changement climatique sur les pêcheurs continentaux.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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; 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".