Climate change-related risk adaptation in striped catfish, tilapia and shrimp farming systems in the Mekong Delta, Vietnam
Bibliographic record
Abstract
This study aims to determine climate change-related risk (CCR) impacts, responses of farmers, and assistant activities in tilapia cage culture (TC), striped catfish nursery (SCN), striped catfish grow-out (SCG), improved extensive shrimp (IES) and intensive shrimp (IS) systems. A survey of 601 farmers in the Mekong Delta, Vietnam, was conducted using clustered sampling. Intense rainfall events and rapid changes in temperature affected all five surveyed farm systems. Extreme high temperatures impacted the TC, IES and IS systems, while extreme low temperatures impacted the striped catfish groups (SCN and SCG). Striped catfish farming systems were more sensitive to low temperatures in comparison to shrimp and tilapia. For risk management purposes, increasing pond dike height was applied in the SCN and SCG farming systems. While increased pond depth was observed in the SCN, SCG and IS systems, the IS and SCN systems had higher counts of additional pond construction. Water quality was monitored and feed supplements/medicines were used by farmers in all five farm systems; however, these activities were higher for the SCN, SCG and IS systems than for the TC and IES groups. Reduced stocking density was observed in TC, SCN, SCG and IS, but not in IES. In addition, the use of aerators or mixers was the most-employed solution in the IS system. Amongst information sources of climate-related risks, television was found to be the most important, followed by neighbouring farmers and the Department of Fisheries (DOF)...
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".