A review of applications of the six-step method of systematic conservation planning
Bibliographic record
Abstract
Systematic Conservation Planning (SCP) is an approach to protected areas planning that follows a step-by-step process. Recent reviews have examined the use of key “biogeographic-concepts”, but an assessment of their use or effectiveness has not been done. We conducted a review of the literature on SCP to assess how the 6-step approach considers these concepts. Most of the 127 papers we reviewed varied in their application of SCP steps. Our findings suggest that protected areas plans are not effectively achieving conservation goals. Only six papers considered data uncertainty. Twenty papers used so-called “data free” conservation targets without clear rationales, and which have been shown to under-represent natural features. The median size of planning units applied (2500 ha) is too small to meet minimum area requirements for many species. We show how an examination of the variation in the ways that SCP is applied helps to identify best practices for achieving conservation effectiveness and efficiency. However, very few SCP efforts have been implemented, making it difficult to assess their effectiveness or efficiency in practice. Detailed examination of how SCP is implemented (perhaps focused on a specific region) can lead to a better understanding of how best to achieve large-scale conservation goals.
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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 | 0.001 | 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".