滨海湿地碳氮特征与社会经济发展的响应关系解析：以江苏省东台市为例

李鹏辉; 王大伟; 黄娜; 蒋一兰; 贾亦飞; 袁少伟

doi:10.13205/j.hjgc.202603018

滨海湿地碳氮特征与社会经济发展的响应关系解析：以江苏省东台市为例

doi: 10.13205/j.hjgc.202603018

李鹏辉^1,2,
王大伟^1,2, ,,
黄娜^1,2,
蒋一兰^1,2,
贾亦飞³,
袁少伟^4,5

1. 河海大学环境学院，南京 210098;
2. 河海大学浅水湖泊综合治理与资源开发教育部重点实验室，南京 210098;
3. 北京林业大学生态与自然保护学院，北京 100083;
4. 安徽省水利部淮河水利委员会水利科学研究院，合肥 230088;
5. 安徽省水科学与智慧水利重点实验室，合肥 230088

基金项目:

国家自然科学基金项目（42361144873）；安徽省水利科技项目（slkj202501-8）

详细信息

作者简介:
李鹏辉（2001—），男，硕士研究生，主要研究方向为水环境保护研究。lipenghui0203@hhu.edu.cn

通讯作者:
王大伟（1989—），男，博士，教授，主要研究方向为水污染控制、水资源开发及污染环境修复研究。dawei.wang@hhu.edu.cn

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出版历程
- 收稿日期: 2026-01-15
- 网络出版日期: 2026-04-11
- 刊出日期: 2026-03-01

Response relationships between carbon and nitrogen characteristics of coastal wetlands and socioeconomic development： a case study of Dongtai City， Jiangsu Province， China

LI Penghui^1,2,
WANG Dawei^{1,2
, ,},
HUANG Na^1,2,
JIANG Yilan^1,2,
JIA Yifei³,
YUAN Shaowei^4,5

1. College of Environment，Hohai University，Nanjing 210098，China;
2. Key Laboratory of Integrated Regulation and Resources Development of Shallow Lakes of Ministry of Education，Hohai University，Nanjing 210098，China;
3. School of Ecology and Nature Conservation，Beijing Forestry University，Beijing 100083，China;
4. Anhui and Huaihe River Water Resource Research Institute，Hefei 230088，China;
5. Anhui Provincial Key Laboratory of Water Science and Intelligent Water Conservancy，Hefei 230088，China

摘要

摘要: 滨海湿地生态环境与区域社会经济发展密切关联，但二者间的内在响应关系尚未明确。以东台市为例，通过系统的野外采样与多源数据收集，结合偏最小二乘结构方程模型（PLS-SEM），解析社会经济发展、河流地表水水质及沉积物碳氮特征三者的耦合关系。结果表明：近5年东台市社会经济与城镇化率均稳步增加，地表水水质呈显著季节性波动特征，其中，TN表现出明显下降趋势。滨海湿地沉积物有机碳与TN含量呈小幅波动。PLS-SEM结果显示：社会经济的发展通过影响河流地表水污染负荷（路径系数=-0.33，P<0.001）间接调节滨海湿地的有机碳和TN含量（路径系数=0.1，P<0.05）。研究揭示了宏观社会经济发展与滨海湿地微观营养盐特征之间的内在关联，可为滨海湿地生态保护与海洋经济协同发展提供科学参考。
- 社会经济 /
- 滨海湿地 /
- 有机碳 /
- 总氮 /
- 影响路径
Abstract: Coastal wetland ecosystems are intrinsically linked to regional socioeconomic development. However， the internal response relationship between these two systems remains unclear. This study took Dongtai City as a study case and used systematic field sampling and multi-source data integration. Partial least squares structural equation modeling （PLS-SEM） was employed to analyze the coupled relationships among socioeconomic development， river surface water quality， and sediment carbon and nitrogen characteristics. The results indicated that over the past five years， both the socioeconomic level and urbanization rate of Dongtai City have increased steadily. Water quality exhibited significant seasonal fluctuations， while a marked declining trend in total nitrogen （TN） was observed. Meanwhile， total organic carbon （TOC） and TN contents in coastal wetland sediments showed minor fluctuations. The PLS-SEM analysis revealed that socioeconomic development indirectly regulated TOC and TN contents in coastal wetlands （path coefficient = 0.1， P < 0.05） by influencing the surface water pollution load of rivers （path coefficient = -0.33， P < 0.001）. This study elucidated the internal nexus between macro-socioeconomic drivers and micro-nutrient characteristics in coastal wetlands， providing a scientific foundation for the synergistic advancement of ecological conservation and the marine economy.
- socioeconomic /
- coastal wetlands /
- organic carbon /
- total nitrogen /
- impact pathways

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