An overview of social-ecological impacts of the El Niño-Southern Oscillation and climate change on Galapagos small-scale fisheries
Bibliographic record
Abstract
Small-scale fisheries in the Galapagos Marine Reserve face significant challenges due to climatic anomalies and human-induced changes such as weak governance and overfishing. This overview explores the social-ecological impacts of the El Niño-Southern Oscillation (ENSO) and climate change on Galapagos small-scale fisheries, including the progress and challenges of ENSO and climate change research in this multiple-use marine protected area. The extreme El Niño events of 1982/83, 1997/98, and 2015/16 caused significant ecological shifts and fluctuations in fisheries productivity. While some species have shown increases in biomass, likely linked to sea surface temperature changes and altered ecosystem dynamics, the impacts on others remain uncertain or underexplored. Sailfin grouper ( Mycteroperca olfax ) and spiny lobster ( Panulirus penicillatus and P. gracilis ) fisheries have exhibited mixed responses to the El Niño, illustrating the complex nature of ENSO's ecological effects, which are further exacerbated by overfishing. The socio-economic impacts on fishing communities include reduced landings, longer search times, higher fishing costs, and increased livelihood insecurity. Future projections suggest an increasing vulnerability to ENSO and climate change, emphasizing the need for an ecosystem approach to fisheries. Key strategies include enhancing adaptive capacity, promoting sustainable practices, and adopting a social-ecological and transdisciplinary research approach. However, progress in ENSO and climate change research is hampered by weak governance, characterized by institutional barriers that hinder the formulation and enforcement of solid fisheries governance policies. To strengthen the resilience of Galapagos small-scale fisheries, interinstitutional and intersectoral collaboration is essential, supported by international cooperation and strategic investments to bolster local research capabilities. • Extreme El Niño events have caused major social-ecological changes in Galapagos. • ENSO events have caused reduced landings, higher costs, and insecurity for fishers. • Complex ecological responses to El Niño are exacerbated by overfishing. • Weak governance hinders climate change research and adaptation in the Galapagos. • Galapagos faces increased vulnerability to future ENSO events and climate change.
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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".