Litter Decomposition and Nutrient Dynamics of Native Species (Cyperus malaccensis) and Alien Invasive Species (Spartina alterniflora) in a Typical Subtropical Estuary (Min River) in China

Zeng, A’ying; Hu, Weifang; Zeng, Chen; Sun, Zhigao; Gao, Dengzhou

doi:10.1007/s12237-020-00744-x

Cited by 16 publications

(7 citation statements)

References 62 publications

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“…This could be explained, at least in part, by an immobilization stage involving microorganisms, the enzymes that they secrete, and the protein cores of the former which contain nitrogen 45 . Pei and coworkers demonstrated that N released during decomposition can be immobilized by microorganisms, stabilized in the soil organo-mineral particles or absorbed to sustain crop productivity 38 , 46 , 47 .…”

Section: Resultsmentioning

confidence: 99%

Monitoring transformation of two tropical lignocellulosics and their lignins after residence in Benin soils

Daassi

Kasangana

Khasa

et al. 2021

Sci Rep

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Thermally assisted Hydrolysis and Methylation (THM), and 2D-heteronuclear single quantum coherence nuclear magnetic resonance (2D HSQC NMR) spectroscopy were used to monitor the transformation of ramial chipped wood (RCW) from Gmelina arborea and Sarcocephalus latifolius, together with their organosolv lignins, following soil incubation in Benin (West Africa). Mesh litterbags containing RCW were buried in soils (10 cm depth) and were retrieved after 0, 6, 12 and 18 months of field incubation. Chemical analysis showed that total carbohydrate content decreased, while total lignin content increased as RCW decomposition progressed. Ash and mineral content of RCW increased significantly after 18 months of decomposition in soil. Significant N-enrichment of the RCW was determined following 18 months incubation in soils, reaching 2.6 and 1.9 times the initial N-content for G. arborea and S. latifolius. Results of THM showed that the S + G sum, corresponding to lignins, increased with RCW residence time in the soils, in contrast to the response of compounds derived from carbohydrates, the sum of which decreased. Remarkably, lignin interunit linkages, most notably β-O-4′ aryl ethers, β-β′ resinol, β-5′ phenylcoumaran and p-PCA p-coumarate, survived after 18 months in the soil, despite their gradual decrease over the duration of the experiment.

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Section: Resultsmentioning

confidence: 99%

Monitoring transformation of two tropical lignocellulosics and their lignins after residence in Benin soils

Daassi

Kasangana

Khasa

et al. 2021

Sci Rep

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“…However, the germination period of P. australis was similar to S. alterniflora, and slightly later than S. alterniflora. As time goes on, more P. australis invade the S. alterniflora (Lin et al, 2015;Zeng et al, 2020). Therefore, artificial management methods are urgently needed to prevent the occurrence of this phenomenon.…”

Section: Discussion Optimal Coherence Characteristics For Wetland Cla...mentioning

confidence: 99%

Classification and Evolutionary Analysis of Yellow River Delta Wetlands Using Decision Tree Based on Time Series SAR Backscattering Coefficient and Coherence

Wang

Liu

et al. 2022

Front. Mar. Sci.

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In recent years, the Yellow River Delta has been affected by invasive species Spartina alterniflora (S. alterniflora), resulting in a fragile ecological environment. It is of great significance to monitor the ground object types in the Yellow River Delta wetlands. The classification accuracy based on Synthetic Aperture Radar (SAR) backscattering coefficient is limited by the small difference between some ground objects. To solve this problem, a decision tree classification method for extracting the ground object types in wetland combined time series SAR backscattering and coherence characteristics was proposed. The Yellow River Delta was taken as the study area and the 112 Sentinel-1A GRD data with VV/VH dual-polarization and 64 Sentinel-1A SLC data with VH polarization were used. The decision tree method was established, based on the annual mean VH and VV backscattering characteristics, the new constructed radar backscattering indices, and the annual mean VH coherence characteristics were suitable for extracting the wetlands in the Yellow River Delta. Then the classification results in the Yellow River Delta wetlands from 2018 to 2021 were obtained using the new method proposed in this paper. The results show that the overall accuracy and Kappa coefficient of the proposed method w5ere 89.504% and 0.860, which were 9.992% and 0.127 higher than multi-temporal classification by Support Vector Machine classifier. Compared with the decision tree without coherence, the overall accuracy and Kappa coefficient were improved by 8.854% and 0.108. The spatial distributions of wetland types in the Yellow River Delta from 2018 to 2021 were obtained using the constructed decision tree. The spatio-temporal evolution analysis was conducted. The results showed that the area of S. alterniflora decreased significantly in 2020 but it increased to the area of 2018 in 2021. In addition, S. alterniflora seriously affected the living space of Phragmites australis (P. australis) and in 4 years, 10.485 km2 living space of P. australis was occupied by S. alterniflora. The proposed method can provide a theoretical basis for higher accuracy SAR wetland classification and the monitoring results can provide an effective reference for local wetland protection.

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“…According to SEM analysis, the RON in the natural salt marsh was primarily derived from organic litter inputs (Figure 7). This was because lignin and lignocellulosic are rich in S. alterniflora litter, where the roots may not contain abundant refractory materials (Zeng et al, 2020;Feng et al, 2022). However, the effects of the litter N storages on the RON amount were negligible in the embanked salt marsh, which was possibly due to the litter N storage observably decreased due to the embankment (Figures 3, 7).…”

Section: The Organic N Subpool In the Soil Subsystemmentioning

confidence: 99%

Seasonal soil-plant nitrogen dynamics of a cordgrass salt marsh in response to coastal embankments in Eastern China

Qin

Feng

Zhao³

et al. 2022

Front. Mar. Sci.

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The effects of coastal embankments on nitrogen (N) cycling in the Spartina alterniflora salt marsh have been extensively reported. However, it remains unclear effects of the embankment on the sizes of diverse N subpools in the plant-soil subsystems year-round. This study examined seasonal changes in various N subpools of plant subsystems; soil subsystems [e.g., soil organic N (SON), recalcitrant organic N (RON), labile organic N (LON), dissolved organic N (DON), ammonium N(NH+4 N), and nitrate N(NO3-N)]; N mineralization [e.g., soil net ammonification (RA) and nitrification (RN) rate]; and immobilization [e.g., microbial biomass N (MBN)] in embanked and adjacent S. alterniflora natural salt marshes on the coast of Eastern China. The embankment significantly reduced the litter N storage by 62.7–71.8% over the four seasons and decreased the root N storage by 53.0% during winter. The SON, LON, RON, and N H +4 N concentrations declined significantly by 43.0–60.2%, 35.8–64.8%, 44.9–59.0%, and 20.8–42.2%, respectively, over the four seasons following the embankment construction. Furthermore, the embankment dramatically reduced the DON concentrations by 21.9% in spring, 14.6% in summer, and 10.4% in winter, while notably diminishing the NO3 N concentrations by 33.4% in autumn and 44.9% in winter, and the RA and RN in spring and summer. However, the embankment clearly increased the MBN concentrations during summer and autumn, the NO3 N concentrations in spring, and the RA and RN in winter at different levels. Due to the decreased soil N inputs from plants, the embankment decreased the organic and inorganic N subpools every season to varying degrees, except for the NO3 N concentration in spring. We suggest that the decreased soil salinity following embankment establishment might increase the uptake of ions by microbes, while stimulating the production of MBN. Ultimately, the NO3 N and DON were two vital N sources for S. alterniflora, and plants absorbed N from the soil to promote their biomass, as well as N concentration and storage. This study is conducive toward understanding the mechanisms behind the effects of coastal embankments on the N transfer among various N subpools in the plant and soil systems.

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Litter Decomposition and Nutrient Dynamics of Native Species (Cyperus malaccensis) and Alien Invasive Species (Spartina alterniflora) in a Typical Subtropical Estuary (Min River) in China

Cited by 16 publications

References 62 publications

Monitoring transformation of two tropical lignocellulosics and their lignins after residence in Benin soils

Monitoring transformation of two tropical lignocellulosics and their lignins after residence in Benin soils

Classification and Evolutionary Analysis of Yellow River Delta Wetlands Using Decision Tree Based on Time Series SAR Backscattering Coefficient and Coherence

Seasonal soil-plant nitrogen dynamics of a cordgrass salt marsh in response to coastal embankments in Eastern China

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