Beyond scents: fragrance industry partnerships for biodiversity conservation
Bibliographic record
Abstract
Since the 1992 Convention on Biological Diversity at the Earth Summit in Rio de Janeiro, United Nations biodiversity agreements have evolved to provide greater specificity on benefit-sharing and conservation strategies. The Kunming-Montreal Global Biodiversity Framework additionally highlights new opportunities for businesses to support biodiversity conservation, reinforced by the creation of a landmark ‘Cali Fund’ at COP16 in Colombia. However, biodiversity continues to decline at an alarming rate. This paper explores how innovative partnerships between the fragrance industry, conservation NGOs (both global and local), and commercial brands can advance international plant conservation goals. By using the scents of threatened species and ecosystems as inspiration for novel products without destructive harvesting, companies can integrate conservation principles into product development, from sourcing to commercialization, while channeling a portion of proceeds back into conservation efforts. This approach directly connects industries to conservation and addresses a critical gap in plant science expertise within leadership roles in both conservation organizations and businesses. Greater engagement by conservation scientists with the fragrance industry is needed, offering a replicable model for corporate engagement that is sustainable, equitable, and impactful. To achieve these goals, bioprospecting must be reframed to address current environmental, market, and societal challenges.
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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 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".