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Record W4410404407 · doi:10.17520/biods.2024575

Synergies and differences between the China National Biodiversity Conservation Strategy and Action Plan (2023‒2030) and the Kunming-Montreal Global Biodiversity Framework

2025· article· en· W4410404407 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiodiversity Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityChinaAction planBiodiversity conservationGeographyEnvironmental resource managementPlan (archaeology)Action (physics)Environmental planningEnvironmental protectionEcologyEnvironmental scienceBiologyArchaeology

Abstract

fetched live from OpenAlex

Background & Aims: Developing a National Biodiversity Strategy and Action Plan (NBSAP) is an important implementation mechanism under the United Nations Convention on Biological Diversity.To maintain consistency with the global targets of the Kunming-Montreal Global Biodiversity Framework (KMGBF) and provide an updated guidance to domestic conservation and sustainable use of biodiversity, China officially released the China National Biodiversity : (2023-2030) 2025 | 33 | 3 | 24575 | 2Conservation Strategy and Action Plan (2023-2030) (China's updated NBSAP) in January 2024, which is one of the first parties to submit an update in accordance with the KMGBF.We compared the action-oriented targets of China's updated NBSAP and the KMGBF to understand their synergies and differences.Based on the core elements of global targets, the degree of synergy between the two is divided into four categories, according to the coverage of core elements.Findings: This paper reveals that the China's updated NBSAP aligns strategically with the KMGBF, however China has adapted its approach by proposing phased objectives and guiding principles tailored to its national context.At the action level, both documents demonstrate high overall synergy in their targets, though differences emerge in quantitative benchmarks, priority-setting, action pathways, and core elements.The alignment between the China's updated NBSAP and the KMGBF can enhance China's biodiversity governance system and foster international convergence in biodiversity practices.While their disparities highlight gaps in China's current governance framework, they also offer globally relevant insights.Notably, the "ecological product value realization" initiative exemplifies China's innovative approach to reconciling conservation and development.By establishing a system to quantify and trade the diverse services and products derived from biodiversity, this mechanism incentivizes sustainable natural resource use by markets and businesses, channels funding toward conservation, and advances biodiversity mainstreaming in economic systems-presenting a unique solution.Building on this analysis, the paper proposes recommendations to optimize the implementation of China's updated NBSAP, aiming to support both domestic execution and the global review process of the KMGBF's progress.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.231
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it