Causes and consequences of functional rarity from local to global scales
Bibliographic record
Abstract
Rarity has always fascinated conservation and evolutionary biologists with the goal to uncover species characteristics causing extinction risk. Recently, some results suggest that rare species may over-contribute to the diversity of traits within communities thus supporting irreplaceable roles while others show that rare species are functionally redundant with common species. Beyond the rarity of species, the rarity of functions played by species, coined as functional rarity, is thus key to understand the impact of biodiversity decline on ecosystem functioning. However, functional rarity still lacks a clear definition and a quantitative framework while its emergence and maintenance within communities is largely unknown. The aim of the FRB-CESAB FREE 1 working group was to advance the concept of functional rarity and examine the causes and consequences of functional rarity from local to global scales. This document summarizes in a few pages the group’s context and objectives, the methods and approaches used, the main findings, as well as the impact for science, society, and both public and private decision-making. _______________________ La crise de la biodiversité impacte en priorité les espèces rares, c’est-à-dire celles déjà menacées car leur distribution spatiale est très limitée. Les caractéristiques intrinsèques de ces espèces qui peuvent expliquer leur vulnérabilité face aux changements globaux restent mal connues malgré tout. En outre, une question se pose : quelle est la conséquence de la perte de ces espèces pour les écosystèmes et l’Humanité ? La question est loin d’être triviale dans la mesure où nous ne connaissons pas le rôle joué par les espèces rares au sein d’un écosystème. A l’inverse, nous ne savons pas qui porte des fonctions essentielles et potentiellement vulnérables au sein d’un écosystème. L'objectif du groupe de travail FRB-CESAB FREE 1 était de faire progresser le concept de rareté fonctionnelle et d'examiner les causes et les conséquences de la rareté fonctionnelle à l'échelle locale et mondiale. Ce document synthétise en quelques pages le contexte et les objectifs du groupe, les méthodes et approches utilisées, les principales conclusions ainsi que l'impact pour la science, la société, la décision publique et privée.
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.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".