|
|||||
|
|
| 中国沿海省份蓝碳现状与能力评估 | |
| 引用本文： | 向爱,揣小伟,李家胜.中国沿海省份蓝碳现状与能力评估[J].资源科学,2022,44(6):1138-1154. |
| 作者姓名： | 向爱 揣小伟 李家胜 |
| 作者单位： | 1.南京大学地理与海洋科学学院,南京 210046 2.南京大学关键地球物质循环前沿科学中心,南京 210046 3.中国水产科学研究院东海水产研究所,上海 200090 |
| 基金项目： | 关键地球物质循环前沿科学中心科研基金项目(DLTDPY2101) |
| 摘 要： | 中国海岸线总长度超过3.26万km,同时拥有红树林、盐沼、海草床3类蓝碳生态系统,且海水养殖产量常年位居世界首位,蓝碳发展条件得天独厚。本文在系统梳理国内外蓝碳研究成果的基础上,基于广义蓝碳定义,尝试从自然生态系统和海水养殖系统两方面构建中国沿海省份蓝碳核算体系,基于相关统计数据、遥感数据、核算参数数据,对中国沿海省份蓝碳进行核算,分析其时空演化格局,并利用Super-SBM模型进一步对中国海水养殖碳汇渔业效率进行评估。研究表明：①中国蓝碳生态系统面积呈波动增长,1997—2019年红树林固碳量为0.033~0.078 Tg C/a,盐沼固碳量为0.234~0.646 Tg C/a,海草床固碳量为0.012~0.018 Tg C/a;②沿海九省2003—2020年的海水养殖年固碳总量为0.87~1.36 Tg C/a,省际空间差异显著,并在各时段表现出不同的增长特征;③沿海九省年蓝碳总量及结构的空间分布格局差异明显,就蓝碳能力而言,山东和福建蓝碳能力最高;就蓝碳结构而言,江苏的蓝碳构成比例较为均衡;④土地利用变化、蓝碳生态系统与海水养殖的不协调发展、气候变化等是影响蓝碳能力的重要因素,沿海九省2003—2020年的碳汇渔业效率值反映出海水养殖经济指标投入与生态环境产出存在一定失调,这也会遏制蓝碳的挖掘和利用。最后本文就蓝碳助力国家碳中和战略提出相应的优化建议。 |
| 关 键 词： | 蓝碳生态系统 海水养殖 渔业碳汇 蓝碳能力评估 Super-SBM模型 中国沿海省份 |
| 收稿时间： | 2021-09-27 |
| 修稿时间： | 2022-01-05 |
Assessment of the status and capacity of blue carbon in China’s coastal provinces |
|
| XIANG Ai,CHUAI Xiaowei,LI Jiasheng.Assessment of the status and capacity of blue carbon in China’s coastal provinces[J].Resources Science,2022,44(6):1138-1154. | |
| Authors: | XIANG Ai CHUAI Xiaowei LI Jiasheng |
| Institution: | 1. School of Geography and Ocean Science, Nanjing University, Nanjing 210046, China 2. Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing 210046, China 3. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China |
| Abstract: | China has a coastline of more than 32600 km and possesses three types of blue carbon ecosystems: mangroves, salt marshes, and seagrass beds, and mariculture production ranks first in the world all year round, so there are excellent conditions for blue carbon development. Based on a systematic review of blue carbon research results in China and abroad, this study constructed a blue carbon accounting framework for China’s coastal provinces, which includes the natural ecosystem and mariculture system from the perspective of a broad blue carbon definition. Meanwhile, based on relevant statistical data, remote sensing data, and accounting parameter data, the blue carbon of China’s coastal provinces was accounted for and their spatial and temporal change patterns were analyzed. This study also used the Super-SBM (slacks-based measure) model to evaluate the efficiency of China’s mariculture carbon sink fisheries. The results show that: (1) Blue carbon ecosystem areas showed fluctuating growth, and the annual average amount of carbon buried in mangroves in China from 1997 to 2019 ranged from 0.033-0.078 Tg C/yr, 0.234-0.646 Tg C/yr in salt marshes, and 0.012-0.018 Tg C/yr in seagrass beds; (2) The annual average amount of carbon buried in nine coastal provinces from 2003 to 2020 was 0.87-1.36 Tg C/yr, with significant inter-provincial spatial disparities and showing different growth characteristics in each time period; (3) The spatial distribution pattern of total blue carbon and structure of coastal provinces differed significantly, among which Liaoning and Shandong were the provinces with the highest blue carbon capacity, and the composition ratio of blue carbon was more balanced in Jiangsu Provinces; (4) Land use change, uncoordinated development between blue carbon habitat and mariculture, and climate change are important reasons affecting the blue carbon capacity of natural resources, and the efficiency values of carbon sink fisheries in nine coastal provinces for 2003-2020 reflected a imbalance between the economic indicators of mariculture inputs and ecological outputs, which could also curb the excavation and utilization of blue carbon capacity. Finally, corresponding optimization recommendations for blue carbon were proposed to contribute to the national carbon neutrality strategy. |
| Keywords: | blue carbon ecosystems mariculture fishery carbon sink blue carbon capacity assessment Super-SBM model China’s coastal provinces |
| 点击此处可从《资源科学》浏览原始摘要信息 | |
| 点击此处可从《资源科学》下载免费的PDF全文 | |