PDF(9620 KB)
Influence of soil heavy metal distribution on carbon components in the coastal wetlands of Yueqing Bay in southern Zhejiang Province
WU Xue, ZHAO Xin, SUN Hongcheng, GU Weifang, ZHU Kehua, GE Zhenming
Journal of Marine Sciences ›› 2025, Vol. 43 ›› Issue (3) : 110-122.
PDF(9620 KB)
PDF(9620 KB)
Influence of soil heavy metal distribution on carbon components in the coastal wetlands of Yueqing Bay in southern Zhejiang Province
Coastal wetland ecosystems have important carbon sink function. Human life, industrial and agricultural production will input heavy metals into wetlands, however, the impacts of heavy metals on various soil carbon components are still unclear. Based on the comparison of the soil carbon component content in the different types of coastal wetlands in Yueqing Bay of southern Zhejiang Province, it was found that the contents of soil organic carbon (SOC), easily oxidizing organic carbon (EOC) and dissolved organic carbon (DOC) in the adult mangroves, young mangroves, Spartina alterniflora salt marshes and mudflats presented the significant regional and inter-habitat differences. Soil total carbon (STC) and microbial biomass carbon (MBC) presented the significant regional differences. By monitoring the spatial distribution of heavy metals, the results showed that the contents of Cd, Pb and Hg in the coastal wetlands adjacent to industrial/agricultural lands and residential area were higher than those in the non-disturbed areas. Correspondingly, the contents of STC, SOC and EOC of the high-disturbed wetlands were lower than those of the non-disturbed wetlands. Furthermore, the results of redundancy analyses (RDA) showed that the STC, SOC and EOC contents were significantly negatively correlated with the Hg and Cd content in the S. alterniflora salt marshes; the SOC and EOC contents were significantly negatively correlated with the Pb and Zn contents in the adult mangroves; the STC, SOC and EOC contents were significantly negatively correlated with the Pb and Cr contents in the young mangroves; and the STC, SOC and EOC contents were significantly negatively correlated with the Cd and Cr contents in the mudflats. This reflects that the increased heavy metals might cause a negative impact on the soil carbon pool. However, the RDA analysis indicated that the MBC content was positively correlated with some heavy metals, probably reflecting the adaptability of the microbial community in the coastal wetland to the low content of heavy metals. The results of this study can provide scientific basis and data support for the environmental quality assessment and natural carbon sink management of coastal wetlands in Zhejiang Province.
coastal salt marsh / mangrove / mudflat / soil organic carbon / easily oxidized organic carbon / microbial biomass carbon / heavy metal / Yueqing Bay
| [1] |
|
| [2] |
唐剑武, 叶属峰, 陈雪初, 等. 海岸带蓝碳的科学概念、研究方法以及在生态恢复中的应用[J]. 中国科学:地球科学, 2018, 48(6):661-670.
|
| [3] |
|
| [4] |
张天雨, 葛振鸣, 张利权, 等. 崇明东滩湿地植被类型和沉积特征对土壤碳、氮分布的影响[J]. 环境科学学报, 2015, 35(3):836-843.
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
万忠梅, 郭岳, 郭跃东. 土地利用对湿地土壤活性有机碳的影响研究进展[J]. 生态环境学报, 2011, 20(3):567-570.
|
| [10] |
李春干, 代华兵. 1960—2010年广西红树林空间分布演变机制[J]. 生态学报, 2015, 35(18):5992-6006.
|
| [11] |
李丽琳, 莫莉萍, 陆媛. 钦州港红树林湿地沉积物重金属含量研究[J]. 西部交通科技, 2014(5):76-80.
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
韦江玲, 潘良浩, 陈元松, 等. 重金属Cr6+胁迫对茳芏生理生态特征的影响[J]. 广西植物, 2014, 34(1):89-94.
|
| [17] |
周晨昊, 毛覃愉, 徐晓, 等. 中国海岸带蓝碳生态系统碳汇潜力的初步分析[J]. 中国科学:生命科学, 2016, 46(4):475-486.
|
| [18] |
王斌, 杨校生, 张彪, 等. 浙江省滨海湿地生态系统服务及其价值研究[J]. 湿地科学, 2012, 10(1):15-22.
|
| [19] |
陈秋夏, 杨升, 刘星. 浙江红树林发展现状与思考[J]. 浙江林业, 2022(7):26-27.
|
| [20] |
吴雪, 赵鑫, 辜伟芳, 等. 浙南海岸带人工秋茄(Kandelia obovata)红树林与互花米草(Spartina alterniflora)盐沼土壤碳汇对比研究[J]. 热带海洋学报, 2025, 44(1):172-181.
|
| [21] |
国家质量监督检验检疫总局, 中国国家标准化管理委员会. 海洋监测规范第5部分:沉积物分析: GB 17378.5—2007[S]. 北京: 中国标准出版社, 2007.
General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. The specification for marine monitoring—Part 5: Sediment analysis: GB 17378.5—2007[S]. Beijing: Standards Press of China, 2007.
|
| [22] |
国家海洋局. 海洋监测技术规程第2部分:沉积物: HY/T 147.2—2013[S]. 北京: 中国标准出版社, 2013.
State Oceanic Administration. Code of practice for marine monitoring technology-Part 2: Sediment: HY/T 147.2—2013[S]. Beijing: Standards Press of China, 2013.
|
| [23] |
Globally, carbon-rich mangrove forests are deforested and degraded due to land-use and land-cover change (LULCC). The impact of mangrove deforestation on carbon emissions has been reported on a global scale; however, uncertainty remains at subnational scales due to geographical variability and field data limitations. We present an assessment of blue carbon storage at five mangrove sites across West Papua Province, Indonesia, a region that supports 10% of the world's mangrove area. The sites are representative of contrasting hydrogeomorphic settings and also capture change over a 25-years LULCC chronosequence. Field-based assessments were conducted across 255 plots covering undisturbed and LULCC-affected mangroves (0-, 5-, 10-, 15- and 25-year-old post-harvest or regenerating forests as well as 15-year-old aquaculture ponds). Undisturbed mangroves stored total ecosystem carbon stocks of 182-2,730 (mean ± SD: 1,087 ± 584) Mg C/ha, with the large variation driven by hydrogeomorphic settings. The highest carbon stocks were found in estuarine interior (EI) mangroves, followed by open coast interior, open coast fringe and EI forests. Forest harvesting did not significantly affect soil carbon stocks, despite an elevated dead wood density relative to undisturbed forests, but it did remove nearly all live biomass. Aquaculture conversion removed 60% of soil carbon stock and 85% of live biomass carbon stock, relative to reference sites. By contrast, mangroves left to regenerate for more than 25 years reached the same level of biomass carbon compared to undisturbed forests, with annual biomass accumulation rates of 3.6 ± 1.1 Mg C ha year. This study shows that hydrogeomorphic setting controls natural dynamics of mangrove blue carbon stocks, while long-term land-use changes affect carbon loss and gain to a substantial degree. Therefore, current land-based climate policies must incorporate landscape and land-use characteristics, and their related carbon management consequences, for more effective emissions reduction targets and restoration outcomes.© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
|
| [24] |
Significant efforts have been invested to restore mangrove forests worldwide through reforestation and afforestation. However, blue carbon benefit has not been compared between these two silvicultural pathways at the global scale. Here, we integrated results from direct field measurements of over 370 restoration sites around the world to show that mangrove reforestation (reestablishing mangroves where they previously colonized) had a greater carbon storage potential per hectare than afforestation (establishing mangroves where not previously mangrove). Greater carbon accumulation was mainly attributed to favorable intertidal positioning, higher nitrogen availability, and lower salinity at most reforestation sites. Reforestation of all physically feasible areas in the deforested mangrove regions of the world could promote the uptake of 671.5-688.8 Tg CO-eq globally over a 40-year period, 60% more than afforesting the same global area on tidal flats (more marginal sites). Along with avoiding conflicts of habitat conversion, mangrove reforestation should be given priority when designing nature-based solutions for mitigating global climate change.© 2023. The Author(s).
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
Sediment quality in coastal wetlands of the Pearl River Estuary was concerned since the wetlands were used for land reclamation, aquaculture and wildlife protection, and meanwhile served as one of the main ultimate sinks for large amount of heavy metals discharged from the rapidly developing Pearl River Delta. Total concentrations of heavy metal, such as Zn, Ni, Cr, Cu, Pb, and Cd, and their chemical speciation were investigated. Results showed that the sediments were significantly contaminated by Cd, Zn and Ni with concentration ranges of 2.79-4.65, 239.4-345.7 and 24.8-122.1mg/kg, respectively. A major portion (34.6-46.8%) of Pb, Cd, and Zn was strongly associated with exchangeable fractions, while Cu, Ni and Cr were predominantly associated with organic fractions, residual, and Fe-Mn oxide. Cd and Zn would be the main potential risk and the sediment quality is no longer meeting the demand of the current wetland utilization strategies.
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
李志鹏. 土地利用变化和重金属污染对水稻土土壤呼吸和有机碳损失的影响[D]. 南京: 南京农业大学, 2009.
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
章明奎, 王丽平. 重金属污染对土壤有机质积累的影响[J]. 应用生态学报, 2007, 18(7):1479-1483.
|
| [43] |
龙健, 黄昌勇, 滕应, 等. 矿区废弃地土壤微生物及其生化活性[J]. 生态学报, 2003, 23(3):496-503.
|
| [44] |
谢正苗, 卡里德, 黄昌勇, 等. 镉铅锌污染对红壤中微生物生物量碳氮磷的影响[J]. 植物营养与肥料学报, 2000, 6(1):69-74.
|
| [45] |
|
| [46] |
向彬, 王彬, 徐卫红, 等. 重金属Cd、Zn、Cu、Pb对土壤微生物和酶活性的影响[J]. 氨基酸和生物资源, 2012, 34(3):4-8.
|
| [47] |
|
| [48] |
|
| [49] |
|
/
| 〈 |
|
〉 |
