International principles and standards for the practice of ecological restoration. Second edition
Notice bibliographique
Résumé
International restoration standardsThe Society for Ecological Restoration (SER) is an international non-profit organization with members in 70 countries.SER advances the science, practice and policy of ecological restoration to sustain biodiversity, improve resilience in a changing climate, and re-establish an ecologically healthy relationship between nature and culture.SER is a dynamic global network, linking researchers, practitioners, land managers, community leaders and decision-makers to restore ecosystems and the human communities that depend on them.Via its members, publications, conferences, policy work, and outreach, SER defines and delivers excellence in the field of ecological restoration. Document development. International Principles and Standards for the Practice of Ecological Restoration (the Standards)was developed through consultation with professionals within the Society for Ecological Restoration and their peers in the global scientific and conservation communities.The first edition was launched in 2016 at the United Nations Biodiversity Conference in Cancún, Mexico.This event brought together key stakeholders from across the international policy arena, many of whom had been instrumental in driving the global initiatives to implement large-scale environmental restoration programs.Because the Standards were written as a living document to be modified and expanded through consultation and use by stakeholders, the launch included an open invitation for stakeholder input, to both improve the document and promote broad use.Subsequently, over a multi-year consultation period, SER invited input and review from a diverse spectrum of people and organizations contributing to ecological restoration.Key stakeholders contacted for comment included the secretariats of the Convention on Biological Diversity (CBD), United Nations Convention to Combat Desertification (UNCCD) including its Science-Policy Interface, Global Environment Facility, the World Bank, and members of the Global Partnership on Forest Landscape Restoration (GPFLR).In 2017, SER partnered with the IUCN Commission on Ecosystem Management to deliver an invited Forum on Biodiversity and Global Forest Restoration at which the SER Standards were reviewed (SER and IUCN-CEM 2018).SER also organized a symposium on the SER Standards and an open Knowledge Café at the 2017 SER World Conference on Ecological Restoration.Additional input was received at other events, including the 9 th Ecosystem Services Partnership World Conference in Shenzhen, China in 2017.To capture the perspectives of the SER community, SER invited online feedback via its website and sent an online survey to SER members, affiliates, and stakeholders.SER has also considered and responded to feedback from published critiques in its journal, Restoration Ecology.All comments received during the consultative review process were considered in the revision process.The second edition of the Standards was approved by the SER Science and Policy Committee, and the SER Board of Directors on 18 June 2019.As with the first edition, this version will be revised and improved as the discipline evolves through science, practice, and adaptive management.The Standards are compatible with and expand on the Open Standards for the Practice of Conservation (Conservation Measures Partnership 2013) and complement the REDD+ Social and Environmental Standards (REDD+ SES 2012), and other conservation standards and guidelines.
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 | 0,018 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,009 | 0,009 |
| Études des sciences et des technologies | 0,003 | 0,008 |
| Communication savante | 0,010 | 0,007 |
| Science ouverte | 0,006 | 0,006 |
| Intégrité de la recherche | 0,006 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,040 | 0,032 |
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 ».