Analyses and suggestions on mechanisms of forestry and grassland administrations in China to achieve targets of Kunming-Montreal Global Biodiversity Framework
Notice bibliographique
Résumé
Aims: There are 23 targets of Kunming-Montreal Global Biodiversity Framework (KMGBF) from the period up to 2030.China is among the mega biodiversity countries with largest human population and faces a lot of challenges on biodiversity conservation.It is very important to understand current biodiversity conservation status and gaps in order toachieve 2030 mission and 2050 vision.In addition, although forestry and grassland administrations in China (FGAC) are considered as the main body of China biodiversity conservation, especially on in situ conservation, ex situ conservation and trade control, there is no detail analysis about the lawful basis and implementation mechanisms of FGAC for the 23 targets.At the same time, there are many national strategic actions or plans on biodiversity conservation, it is very urgent to propose comments and suggestions on these actions or plans in order to make best usage of limited conservation resources.Here we aim to illustrate current biodiversity conservation status and gaps, lawful basis of FGAC's duties, and propose our suggestions on Chinese biodiversity conservation on 2030 targets.Methods: We analyzed the lawful basis and implementation mechanisms of FGAC for the 23 targets of KMGBF, from the aspects of ecosystem conservation, species conservation, genetic resources conservation and biosafety, support measures, and fairness requirements.We analyzed the typical route of implementing framework conventions through synergy among governmental sectors, and discussed four stages, i.e. to determine the whole goals, to identify detail targets, to implement relevant actions or plans, enforcement/supervision/evaluation.We also summarized the biodiversity conservation achievements and shortcomings of FGAC, and provided suggestions for future work.Results: Our analyses indicated that Chinese government attached high importance on biodiversity conservation.The mandate duties of FGAC well consist with 2030 mission.Many national strategic actions or plans on biodiversity were compiled and implemented by FGAC.Many special conservation measures of FGAC, such as ecological conservation compensation and Forestry-Leader Mechanism, had been established and received huge amount support.The conservation networks have been well established and improving across China.The system of in situ conservation, such as national parks, nature reserves, key habitats of wildlife, has been established and improving across all kinds ecosystem and received strong support from governments, local communities and non-governmental organizations (NGOs).The system of ex situ conservation, such as national botanical gardens, endangered species conservation and research centers, had been well designed and received strong support from national/provincial/municipal governments and scientists.Bilateral and multilateral international co-operations had launched many achievements and contributed to global biodiversity conservation.Public awareness is improved through wide spread communication.Many endangered species have been well protected and the quality of ecosystems is improved onwards.Inner problems related to biodiversity conservation are analyzed.Suggestions are provided regarding in situ conservation, ex situ conservation, enforcement/supervision/ evaluation, and mainstreaming of biodiversity.Conclusion: Biodiversity conservation has achieved great outcome and is becoming important part of Chinese government.However, there is high pressure for FGAC to implement relevant conservation actions or plans.We propose to improve biodiversity conservation networks, establish biodiversity monitoring system, enhance enforcement, supervision and evaluation, and mainstream biodiversity concept into Chinese culture.
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 | 0,008 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
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 ».