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Record W4388203992 · doi:10.1360/tb-2023-0562

中国深度参与全球海洋生物多样性保护的研究与展望

2023· article· zh· W4388203992 on OpenAlexaboutno aff
Xin Lin, Yi Li, Lei Wang, Siyang Wu, Hongwei Wang, Zhexuan Shi, Zhixue Chen, Xinyi Zhang, Zixi Zhang, Xin Liu, Minhan Dai

Bibliographic record

VenueChinese Science Bulletin (Chinese Version) · 2023
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

<p indent="0mm">Biodiversity is the cornerstone of the diverse services of ecosystems and the basis for people’s well-being. The oceans are the repository of global biodiversity. In 2022, <italic>The</italic> <italic>Kunming-Montreal Global Biodiversity Framework</italic> was adopted during the 15th meeting of the Conference of the Parties of the United Nations (UN) Convention on Biological Diversity (CBD). A significant component of this historic framework is the ambitious “30×30” goal, which calls for effective conservation and management of at least 30% of the world’s lands, inland waters, coastal areas, and oceans by 2030. With less than 10% of the world’s oceans currently protected, the future holds numerous challenges in achieving the “30×30” goal collectively. In 2023, after <sc>20 years</sc> of negotiations, the UN General Assembly reached a consensus on the adoption of <italic>The Agreement under the UN Convention on the Law of the Sea</italic> (UNCLOS) on the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction (BBNJ Treaty). These milestones signify a major transformation in global ocean governance where marine biodiversity conservation has become one of the core issues. As the global ocean governance is currently undergoing systematic changes, China should seize the opportunity and plan a path to achieve deep participation in the global marine biodiversity conservation. To address this issue, we review the current global ocean governance mechanism and the development of marine biodiversity conservation issue through a retrospective analysis of key events. On the basis of the legal constraints of UNCLOS and CBD, a series of international conventions and rules have been developed by different parties and organizations for the protection of specific marine areas, marine ecosystems, flagship species, and fishery resources. Over the past two decades, under the leadership of the UN and with the participation of a number of international agencies, nongovernmental organizations, governmental departments, and scientists from various countries, a series of important surveys and comprehensive assessments of global biodiversity (including marine biodiversity) have been performed to provide a scientific basis for the initiative and implementation of the UN global governance program. These global initiatives include the UN 2030 Agenda, the 2021–2030 UN Decade of Ocean Science for Sustainable Development, and the UN Decade on Ecosystem Restoration. As summarized in representative assessment reports, the health of marine ecosystems and biodiversity have been continuously decreasing. As much as 40% of the world’s oceans are strongly affected by four major drivers, namely, overfishing, habitat loss, climate change, and environmental pollution. Currently available marine-protected areas have low coverage of species ranges or ecoregions and are not sufficiently effective. Challenges to achieving global marine biodiversity conservation include uncertainties and tipping points in marine ecosystems under global change, conservation of biodiversity in non-jurisdictional areas and jurisdictional governance, and planning for highly connected marine ecological networks. In the future, with the implementation of the “30×30” target and the BBNJ Treaty, how to equitably achieve the conservation and sustainable use of biodiversity in marine areas beyond the limits of national jurisdiction, as well as the equitable sharing of the benefits of biological resources (including genetic resources), will be a focal point of global oceans’ governance. In the face of the international situation and national needs, guided by the concept of ecological civilization, China should initially accelerate its own capacity-building and improve the autonomy, intelligence, and internationalization of marine science and technology innovation. Such advancements will support China’s in-depth participation and leadership in global ocean governance while delivering scientific and technological support, as well as China’s sustainable development solutions.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.156
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0090.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1560.060

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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