Implementation path of biodiversity mainstreaming in China under the guidance of Kunming-Montreal Global Biodiversity Framework
Bibliographic record
Abstract
Kunming-Montreal Global Biodiversity Framework sets out key actions for biodiversity conservation worldwide in the coming period, including integrating biodiversity and its multiple values into economic and social activities. As a party to the United Nations Convention on Biological Diversity (CBD), China has made unremitting efforts to promote the biodiversity mainstreaming, integrating biodiversity conservation into top-level national decision-making and major strategic planning, and integrating it into the policies, norms and assessment mechanisms of ecological environments, natural resources and other relevant industries. Different functional departments, scientific research institutions, enterprises, social organizations and other organizations have carried out extensive and in-depth researches based on multiple aspects of biodiversity conservation and management. Benchmark the objectives of Kunming-Montreal Global Biodiversity Framework and refer the advanced experience of biodiversity mainstreaming practices in other countries, we discussed and analyzed the conceptual connotation of biodiversity mainstreaming, summarized the practice and stage results of biodiversity mainstreaming in China. Then focusing on different actors including governments, enterprises and the public, we propose the implementation path of promoting biodiversity mainstreaming in an all-round way for China in the new era, including: (1) To import a consistent action framework which is mitigation protection hierarchy with four steps, contains avoidance, mitigation, recovery, and offset; (2) To give play to the leading role of government governance, and to integrate biodiversity conservation into government governance systems and industrial development layout with the help of various planning and policy tools; (3) To support enterprises to take joint actions and internalize ecological and environmental hazards into business operations which can promote sustainable production and consumption; (4) To raise public awareness to promote broad participation in biodiversity conservation, establish a system of public participation in biodiversity conservation through various publicity and education actions, to guide the public to practice a green and low-carbon lifestyle, and to translate into real benefits of biodiversity and climate mitigation and improvement. By taking the above actions, we will strive to integrate biodiversity into the policy mechanisms of government departments at all levels and social production and life practices, so as to provide references for improving biodiversity governance decisions.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".