Literature DB >> 34009575

Effects of crab disturbance on nitrogen migration and transformation in a coastal tidal flat wetland.

Jinli Li1, Guofen Hua2, Shangqing Liu1, Xiangdong Liu1, Yuying Huang1, Ying Shi1.   

Abstract

The influence of crab disturbances on nitrogen migration and the transformations of pore water and overlying water in a coastal tidal flat wetland were investigated at the lab scale, and the nitrogen exchange flux at the sediment-water interface was calculated. The results showed that crabs, combined with tidal effects, had significant effects on the microtopography of the studied crab box. In addition, there was no significant difference in the concentrations of NH4+-N, NO3--N, or TN between two points in the horizontal direction (P > 0.05), and there were significant differences in the concentrations of NH4+-N and TN in the vertical direction (P < 0.05); the NO3--N concentration difference was not obvious (P > 0.05). The NO3--N concentration in the surface pore water of the crab box had a downward trend with time. Furthermore, the NH4+-N and TN contents in the overlying water in the crab box were significantly higher than those of the control box, indicating that crab disturbances also had significant effects on the concentrations of NH4+-N, NO3--N, and TN in the overlying water. The existence of crab caves greatly promoted the nitrogen exchange flux at the sediment-water interface, and the mean exchange fluxes of NH4+-N, NO3--N and TN were 51.40 mmol (m2 day)-1, -13.44 mmol (m2 day)-1 and 39.74 mmol (m2 day)-1, respectively (much higher than those measured in the control box), implying that NH4+-N and TN were released from the sediment to the overlying water, while NO3--N was released from the overlying water to the sediment.

Entities:  

Keywords:  Coastal tidal flat wetland; Crab disturbance; Migration and transformation; Nitrogen; Sediment-water interface

Year:  2021        PMID: 34009575     DOI: 10.1007/s11356-021-14393-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Machine-Learning Classification of Soil Bulk Density in Salt Marsh Environments.

Authors:  Iman Salehi Hikouei; S Sonny Kim; Deepak R Mishra
Journal:  Sensors (Basel)       Date:  2021-06-27       Impact factor: 3.576

  1 in total

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