Climate mainstreaming in environmental treaties
Notice bibliographique
Résumé
Are climate treaties, like the United Nations Framework Convention on Climate Change (UNFCCC) or the Paris Agreement, the only way forward for intergovernmental climate cooperation? By now, there are hundreds of multilateral treaties governing a wide range of environmental issues, including energy, freshwater, oceans, air pollution, biodiversity conservation, hazardous waste, agriculture and fisheries. This policy brief examines whether the 379 multilateral environmental treaties that do not primarily address climate change can nevertheless contribute to advancing climate commitments. We find that decisions adopted under environmental treaties have increasingly mainstreamed climate considerations since 1990. Today, climate-related decisions account for around 10% of regulatory decisions adopted under environmental treaties across different issue areas. Some treaty regimes are particularly active in addressing climate change, such as those focused on energy, freshwater and habitats, with up to 60% of their decisions addressing climate change. In contrast, treaties regulating agriculture and fisheries demonstrate a notably lower level of engagement in climate mainstreaming. These findings demonstrate that environmental treaties that do not specifically focus on climate change can still contribute to shaping climate governance, albeit to varying degrees. This policy brief concludes with a set of recommendations for researchers, treaty negotiators, secretariats, governments and climate activists seeking to advance intergovernmental cooperation on climate change through means other than climate treaties. Key policy messages: Non-climate-focused treaties can serve as a means for developing climate mitigation and adaptation commitments, notably through decisions adopted by their respective bodies. Yet, there is room for increased climate mainstreaming in those decisions. Various actors can contribute to such mainstreaming: • Researchers could further investigate why some conferences of the parties (COPs) are more receptive to climate concerns than others and what potential trade-offs are associated with climate mainstreaming in environmental treaties. • Treaty negotiators can favour cross-cutting mandates that enhance policy coherence across interconnected environmental challenges, enabling a more integrated approach to environmental decision-making. They can also design dynamic collective bodies, able to adopt decisions swiftly when new issues or information arise. • Governments can appoint climate experts in non-climate COPs and advisory committees and report climate-related aspects of their implementation of non-climate treaties. • Treaty secretariats can coordinate joint initiatives and promote knowledge exchange across climate and other environmental regimes. • Climate activists can intensify their engagement with non-climate COPs by participating in consultations, submitting position papers, and collaborating with sympathetic delegates to amplify the climate relevance of treaty decisions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,045 | 0,067 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,007 | 0,015 |
| Communication savante | 0,016 | 0,024 |
| Science ouverte | 0,002 | 0,012 |
| Intégrité de la recherche | 0,009 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».