The capacity to adapt?: communities in a changing climate, environment, and economy on the northern Andaman coast of Thailand
Bibliographic record
Abstract
The health and productivity of marine ecosystems, habitats, and fisheries are deteriorating on the Andaman coast of Thailand. Because of their high dependence on natural resources and proximity to the ocean, coastal communities are particularly vulnerable to climate-induced changes in the marine environment. These communities must also adapt to the impacts of management interventions and conservation initiatives, including marine protected areas, which have livelihood implications. Further, communities on the Andaman coast are also experiencing a range of new economic opportunities associated in particular with tourism and agriculture. These complex and ongoing changes require integrated assessment of, and deliberate planning to increase, the adaptive capacity of communities so that they may respond to: (1) environmental degradation and fisheries declines through effective management interventions or conservation initiatives, (2) new economic opportunities to reduce dependence on fisheries, and (3) the increasing impacts of climate change. Our results are from a mixed methods study, which used surveys and interviews to examine multiple dimensions of the adaptive capacity of seven island communities near marine protected areas on the Andaman coast of Thailand. Results show that communities had low adaptive capacity with respect to environmental degradation and fisheries declines, and to management and conservation interventions, as well as uneven levels of adaptive capacity to economic opportunities. Though communities and households were experiencing the impacts of climate change, especially storm events, changing seasons and weather patterns, and erosion, they were reacting to these changes with limited knowledge of climate change per se. We recommend interventions, in the form of policies, programs, and actions, at multiple scales for increasing the adaptive capacity of Thailand’s coastal communities to change. The analytical and methodological approach used for examining adaptive capacity could be easily modified and applied to other contexts and locales.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".