Global strategy for plant conservation: inadequate in situ conservation of threatened flora in Spain
Bibliographic record
Abstract
The Global Strategy for Plant Conservation (GSPC) seeks to assess the conservation status of the world vascular plants by 2020, and to guarantee that at least 75% threatened taxa are conserved in situ . A comprehensive evaluation of IUCN categories for 7269 Spanish vascular plants (GSPC Target 2), using distribution data and environmental niche models, is presented. A gap analysis to assess the percentage of threatened plants effectively conserved in situ (considering national parks, plant micro-reserves and recovery or conservation plans) was also conducted (Target 7). The result is that only 44.4% threatened species are subject to an adequate in situ protection. An appropriate management of additional natural protected areas towards the conservation of threatened plants would make Spain meet this threshold, but severe deficiencies should be corrected. The methodology presented here is proposed as a tool to assess the degree of achievement of GSPC targets. This procedure can be quickly implemented and allows an easy evaluation of the progress, as well as the pending tasks in a given period of time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".