Honey production, an economic alternative for coastal areas with mangrove ecosystems: a case study in Sabancuy, Campeche, southeastern Mexico
Bibliographic record
Abstract
BACKGROUND: Mangrove ecosystems recognized for their biodiversity and ecosystem services that offer unique opportunities for sustainable livelihoods such as honey production. This study characterizes the beekeeping practices associated with mangroves in Sabancuy, Campeche, Mexico, emphasizing their ecological and economic significance. METHODS: Through 28 semi-structured surveys, we have analyzed the socioeconomic and ecological perspectives of the local beekeepers operating in these coastal environments. The surveyed beekeepers, with an average age of 49 years and 23.6 years of experience, primarily engage in complementary honey production, leveraging both migratory and stationary apiary systems. Hive management practices include queen replacement, artificial feeding, colony division, and adherence to organic certification protocols. RESULTS: The study highlights an annual average honey production of 65.37 kg per colony, with peak yields occurring during the transition from dry to rainy seasons (May-June). Integrating floral phenology and phylogenetic frameworks the principal plant resources supporting honeybees, enhancing the sustainability of the mangrove-based beekeeping. CONCLUSION: Apiculture not only produces economic opportunities for the local communities; but also contributes to conservation goals by fostering biodiversity and ecosystem restoration. These findings underscore the potential of mangrove beekeeping as a replicable model for sustainable development in other coastal regions worldwide with similar ecosystems. Furthermore, this research seeks to bridge critical knowledge gaps about Apis mellifera in mangrove ecosystems by addressing socio-ecological factors influencing honey production, evaluating its benefits for local communities, and exploring its role within broader conservation strategies.
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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) | 0.001 | 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".