Landscape approaches for the 30x30 target: Potential applications and practical recommendations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Landscape approaches have been recognised as an effective solution for reconciling conservation and developmental demands at local scales. Though suitable in various contexts of human-nature interactions, their application is increasingly considered in relation to area-based conservation. Target 3 (30x30 Target) of the Kunming-Montreal Global Biodiversity Framework (KM-GBF) specifically calls for protected areas, other effective area-based conservation measures (OECMs) and Indigenous and traditional territories to be 'integrated into wider landscapes and seascapes and the ocean'. This short communication pursues three objectives. First, we suggest various areabased conservation settings where a landscape approach can be applied. Second, we discuss how characteristic features and strengths of landscape approaches can be leveraged to support Target 3. Lastly, we provide practical recommendations for enabling their effective operationalisation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it