Biocultural restoration in Hawaiʻi also achieves core conservation goals
Bibliographic record
Abstract
Biocultural approaches to restoration have demonstrated multiple benefits for human communities, but the ecological benefits and trade-offs involved have received little attention. Using a case study from Hawaii, we examined if forest restoration aimed at reviving and maintaining cultural interactions with the forest is compatible with other priority conservation metrics. We identified species of high biocultural value for an Indigenous (Native Hawaiian) community, and then tested if these species also have high conservation value in terms of their biogeographic origin, ability to support native wildlife, and ability to persist independently within the restored context. Additionally, we tested if an assemblage of species with high biocultural value can also support high functional trait diversity. We found bioculturally important species to have high conservation values for all metrics tested, except for the ability to conserve rare or endangered endemic species. However, a broader application of biocultural conservation, such as the revival of the "sacred forest" concept, can address this priority as part of a mosaic of different species assemblages and levels of access. We also found that biocultural value may, at least in part, be a function of coevolutionary time: the length of time over which a community has interacted with a given species. Given that forests are invaluable to many Indigenous communities and, given the existential threats many of these communities currently face, we suggest that forests containing species assemblages of high biocultural value, such as those in Hawaii, be considered as critical cultural habitat.
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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".