Effects of groundwater tables and salinity levels on soil organic carbon and total nitrogen accumulation in coastal wetlands with different plant cover types in a Chinese estuary

• Published in: Ecological indicators Vol. 121; p. 106969
• Main Authors: Guan, Yanan, Bai, Junhong, Wang, Junjing, Wang, Wei, Wang, Xin, Zhang, Ling, Li, Xiaowen, Liu, Xinhui
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2021; Elsevier
• Subjects: Electric conductivity; General linear model; Groundwater table; Lorentz model; Soil organic carbon; Total nitrogen; Lorentz model; General linear model; Total nitrogen; Soil organic carbon; Groundwater table; Electric conductivity
• ISSN: 1470-160X; 1872-7034
• DOI: 10.1016/j.ecolind.2020.106969

•The Lorentz models were ideal for the relationships between SOC, TN and EC.•The threshold of EC for the maximum SOC and SOCs was at 2.2 ms/cm.•The threshold of EC for the maximum TN and TNs depended on groundwater tables.•SOC was positively correlated with TN contents for the same groundwater table. Groundwater tables and soil salinity can greatly affect the biogeochemical cycles of carbon and nitrogen by altering soil physicochemical properties. Coastal wetlands with different plant cover types (including bare land, Phragmites australis, and Suaeda salsa wetlands) and groundwater table wetlands (including low groundwater table, medium groundwater table, and high groundwater table wetlands) were investigated in 2012–2013 to characterize the spatial and temporal changes and the effects of groundwater tables on soil organic carbon (SOC) and total nitrogen (TN) in the Yellow River Estuary, China. The results showed that SOCs in 2012 was higher than that in 2013 regardless of the groundwater tables, while TNs was higher in 2013 than in 2012 except in the BL soil with low groundwater tables and the PA wetlands with middle groundwater tables. The SOCs and TNs were mainly concentrated in the top 20 cm soils. SOCc and TNc were fitted very well with soil depth by the general linear fit (p < 0.01). The Lorentz models were ideal for the relationships among SOC, TN and electrical conductivity (EC), indicating that certain EC values could improve carbon and nitrogen accumulation. The theoretical threshold of EC for the maximum SOC and SOCs was 2.2 ms/cm, and the maximum TN and TNs highly depended on groundwater tables (0.9–1.0 ms/cm for LW, 1.6–1.8 ms/cm for MW and 3.0 ms/cm for HW). The general linear model results showed that SOC was positively correlated with TN at the same groundwater table (p < 0.01). Additionally, a positive linear relationship was also observed among SOC, TN and silt + clay contents for all groundwater tables (p < 0.05). These findings indicated that carbon and nitrogen stocks might be regulated by groundwater tables and salinity to improve carbon sinks in coastal wetlands.