Research on the Ecological and Economic Impacts of Rising Sea Levels on Mangroves in Southern Florida in the Context of Climate Change
Bibliographic record
Abstract
The decline in mangrove ecosystems is a major contributor to the loss of biodiversity, extra carbon release, and local economic instability, particularly in tropical coastal regions that are constantly influenced by climate changes. Despite the importance of the mangroves, there is limited research investigating the consequences. Under the context, this research examines the correlation between mangrove density, sea level rise, and economic impacts in Southern Florida. The work aims to address three main questions: (i) what are the ecological impacts of sea level rising on mangroves density; (ii) what are the economic implications of mangrove loss; (iii) what extent of government intervention should be imposed on the environmental problem. The research presents a two-variable graph that examines the relationship between mangrove density in Southern Florida and sea level rise, analyzing its overall correlation in the Caribbean region. Another correlation study of the impacts of mangrove loss on local tourism is created and set as the focus. The conventional hedonic method is applied as the tool of evaluating mangroves value. The results demonstrate a close negative correlation between sea level and mangrove density, and a positive correlation of mangroves density and local tourism.
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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 | 0.002 | 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".