中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Decoding carbon emissions in China's marine Fisheries: Trends, drivers, and pathways to sustainability

文献类型:期刊论文

作者Zhang, Jiaqi3; Chen, Jie1,3; Gao, Guoping3; Lv, Ming2
刊名JOURNAL OF CLEANER PRODUCTION
出版日期2025-08-15
卷号520页码:146101
关键词Marine fishery Carbon emission Carbon intensity LMDI model Sustainable development
ISSN号0959-6526
DOI10.1016/j.jclepro.2025.146101
产权排序2
文献子类Article
英文摘要The sustainable development of marine fisheries is essential for China to achieve its carbon peaking goals. Balancing carbon emission reduction with the need to maintain fish production and improve sustainable management presents a significant challenge. Current research lacks comprehensive analyses of the time-space evolution of carbon emissions in relation to fishery production and their driving mechanisms. This study examined China's marine fishery development over 44 years, focusing on regional carbon emissions and intensity associated with various operation methods over the past 20 years. It also identified the driving mechanisms and contributions of the operational structure to carbon emissions. The findings revealed that while fishery production grew at an annual growth rate of 1.82 %, carbon emissions rose slower (1.26 %). The catch scale is the most critical positive driver of carbon emissions increasing (53.36 %). Spatially, southern China exhibited higher emissions compared to northern regions, with disparities in emissions widening due to operational structures and differences in regional characteristics and reduction potential. The carbon intensity of China's marine fisheries per unit of production has been significantly reduced, contributing 24.70 % of the world's seafood with only 20.32 % of CO2 over the past ten years. Outlawing energy-intensive capture methods and reducing energy consumption in mariculture have largely contributed to the reduction in emissions (-58.44 % and -37.44 %, respectively). Although intensive production systems in mariculture contribute a lot of seafood at the same emission level, they may also generate externalities such as biodiversity loss, habitat simplification and ecosystem degradation, so the need for an integrated ecosystem-based management approach such as integrated multi-trophic aquaculture should be more emphasized at this time in order to strike a balance between combating climate change and maintaining ecological sustainability. This study highlights the importance of balanced regional development, restructuring operations and optimizing fishing methods to ensure food security while advancing broader sustainable development goals. The recommendations are intended to guide the lowcarbon and sustainable development of China's marine fisheries, consistent with environmental and economic goals.
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WOS关键词GREENHOUSE-GAS EMISSIONS ; DECOMPOSITION ANALYSIS ; ENVIRONMENTAL-IMPACT ; ENERGY
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001527996900005
出版者ELSEVIER SCI LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/215309]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Chen, Jie
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
2.Shanghai Ocean Univ, Coll Marine Living Resource Sci & Management, Shanghai 201306, Peoples R China
3.Shanghai Ocean Univ, Coll Oceanog & Ecol Sci, 999 Huchenghuan Rd, Shanghai 201306, Peoples R China;
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Zhang, Jiaqi,Chen, Jie,Gao, Guoping,et al. Decoding carbon emissions in China's marine Fisheries: Trends, drivers, and pathways to sustainability[J]. JOURNAL OF CLEANER PRODUCTION,2025,520:146101.
APA Zhang, Jiaqi,Chen, Jie,Gao, Guoping,&Lv, Ming.(2025).Decoding carbon emissions in China's marine Fisheries: Trends, drivers, and pathways to sustainability.JOURNAL OF CLEANER PRODUCTION,520,146101.
MLA Zhang, Jiaqi,et al."Decoding carbon emissions in China's marine Fisheries: Trends, drivers, and pathways to sustainability".JOURNAL OF CLEANER PRODUCTION 520(2025):146101.

入库方式: OAI收割

来源:地理科学与资源研究所

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