Yu Xuan, Guo Haonan, Chen Qi
Business School, Ningbo University, Ningbo 315211, China.
Donghai Academy, Ningbo University, Ningbo 315211, China.
Biology (Basel). 2025 Jun 3;14(6):648. doi: 10.3390/biology14060648.
This study develops species-specific assessment models for carbon sink in marine aquaculture (CSMA) using provincial data from China's coastal regions (2004-2023). Key findings are as follows: (1) Cumulative CSMA reached 46.3618 million tonnes, exhibiting three growth phases-initial fluctuations (2004-2008), rapid growth (2008-2015), and optimization and maturation (2015-2023). (2) Species contributions were heterogeneous: shellfish dominated at 45%, followed by shrimp (24%), fish (15%), crab (11%), and algae (5%). (3) Spatially, Guangdong, Fujian, and Shandong consistently lead in CSMA; Guangxi, Liaoning, and Zhejiang form a second tier, whereas Hebei, Hainan, and Jiangsu remain at the lower end. (4) Province-specific dominance patterns were observed: shellfish-dominant pattern in Shandong, Fujian, and Liaoning; shrimp-dominant pattern in Hebei and Hainan; shellfish-and-shrimp dual-cores in Guangdong and Guangxi; and a multifaceted profile in Jiangsu and Zhejiang. To facilitate the realization of CSMA's value, we propose a dedicated trading mechanism. Based on the derivations from the effect analysis model and the illustrative case studies, we explore the potential economic and ecological benefits of CSMA trading.
本研究利用中国沿海地区（2004 - 2023年）的省级数据，开发了海洋水产养殖碳汇（CSMA）的特定物种评估模型。主要研究结果如下：（1）CSMA累计量达到4636.18万吨，呈现出三个增长阶段——初始波动阶段（2004 - 2008年）、快速增长阶段（2008 - 2015年）以及优化成熟阶段（2015 - 2023年）。（2）各物种的贡献存在差异：贝类占主导地位，为45%，其次是虾类（24%）、鱼类（15%）、蟹类（11%）和藻类（5%）。（3）在空间上，广东、福建和山东在CSMA方面一直领先；广西、辽宁和浙江形成第二梯队，而河北、海南和江苏仍处于较低水平。（4）观察到特定省份的主导模式：山东、福建和辽宁以贝类为主导模式；河北和海南以虾类为主导模式；广东和广西以贝类和虾类双核模式为主；江苏和浙江则呈现多方面特征。为促进CSMA价值的实现，我们提出了一种专门的交易机制。基于效应分析模型的推导和案例研究，我们探索了CSMA交易的潜在经济和生态效益。
