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1

Reconstruction of wetland zones: physiological and biochemical responses of Salix variegata to winter submergence — a case study from water level fluctuation zone of the Three Gorges Reservoir

100%
Miao L., Xiao F., Xu W., Yang F.
Polish Journal of Ecology
|
2016
|
tom 64
|
nr 1
The Salix variegata Franch. seedlings planted in the Three Gorges Reservoir (TGR) water level fluctuation zone (WLFZ) could survive after experiencing several seasons of winter submergence. We investigated the recovery mechanisms of S. variegata seedlings planted at the elevation of 168 m and 172 m in the TGR WLFZ after winter submergence. The results indicated that winter submergence caused some impacts on S. variegata seedlings with increases of hydrogen peroxide (H₂O₂), superoxide anions radical (O₂⁻˙), and malondialdehyde (MDA) levels, and decreases of antioxidant enzymatic systems during recovery stage after winter submergence. However, further analyses of relative water content (RWC), pigment content, proline content, carbohydrate content and several other antioxidant enzymatic activities (catalase (CAT), guaiacol peroxidase (G-POD), and glutathione peroxidase (GSH-POD)) showed that S. variegata seedlings were well recovered after winter submergence. These results indicate that S. variegata possesses strong winter submergence tolerance and adaptation to the specific hydrological environment in the TGR WLFZ. Therefore, S. variegata should be popularized as native tree species during the revegetation in the TGR WLFZ.
2

A new low SNR underwater acoustic signal classification method based on intrinsic modal features maintaining dimensionality reduction

88%
Ju Y., Wei Z., Huangfu L., Xiao F., Song M.
Polish Maritime Research
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2020
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tom 27
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nr 2
3

Entropy-cloud model of heavy metals pollution assessment in farmland soils of mining areas

88%
Yang J., Liu H., Yu X., Lv Z., Xiao F.
Polish Journal of Environmental Studies
|
2016
|
tom 25
|
nr 3
An entropy-cloud model is proposed to deal with soil heavy metal pollution assessment based on entropy and cloud model theory. Parameters of the cloud model of each heavy metal level are calculated with the chosen indicators, and hybrid entropy weights are determined based on Shannon entropy and the analytic hierarchy process (AHP) to generate an entropy-cloud model of all indicators. Certainty degrees of each level are calculated by the entropy-cloud model, and the fuzzy entropy of certainty degrees is calculated to indicate the complexity of heavy metal pollution. Heavy metal pollution of 10 farmland soils in mining areas is assessed by the entropy-cloud model. Comparative studies with variable fuzzy sets, artificial neural network, and normal cloud model show that the entropy-cloud model is effective and intuitive, which can assess the soil heavy metal pollution from two aspects of level and complexity. Different from other methods, this model provides a new way to assess soil heavy metal pollution.
4

Isolation and characterization of a waterlogging-responsive gene involved in ethylene biosynthesis in chrysanthemum

64%
Zhang Z., Luan D., Chen G., Xiao F., Yin D., Ni D., Li X., Qi L.
Acta Physiologiae Plantarum
|
2018
|
tom 40
|
nr 06
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