Climate change implications for water resource management in Caribbean tourism
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the climate change implications for both rainfall and saline intrusion in ground water, which could directly threaten both the tourism industry and other local livelihoods in the Caribbean. Water shortages will be particularly critical in the locations that are already water‐stressed; at or near the limits of their available supplies. Design/methodology/approach The paper focuses on Barbados as the island exhibits four critical factors that make it particularly sensitive and potentially vulnerable to water shortages. Barbados is relatively small and flat, and has limited water flow. Second, it is the most densely populated country in the Caribbean. Third, the economy is primarily driven by tourism, and has prospered as a result; Fourth, Barbados is characterized as “absolute water scarce” on the Falkenmark scale because of a per capita availability of freshwater per year of less than 500 cubic meters. Findings The paper observes that Barbados has a water availability of just 306 cubic metres per capita per year, which makes Barbados the 15th most water‐scarce nation in the world. Thus, Barbados is critically dependent on a water‐intensive industry, has limited options to expand the supply of the key resource, and now finds that the availability of this key resource might decline in future as a result of climate change. Originality/value The paper provides data, case studies and analysis to demonstrate the significant threat to tourism from water shortages relating to 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".