Effects of Rainfall on the Characteristics of Soil Greenhouse Gas Emissions in the Wetland of Qinghai Lake

Niaodao, a lakeside wetland, was used as the focus of this study to investigate the effect of rainfall changes on the greenhouse gas fluxes of wetland ecosystems. Wetland plots with different moisture characteristics (+25%, −25%, +75%, and −75% rainfall treatments and the control treatment (CK)) were constructed to observe in situ field greenhouse gas emissions at 11:00 and 15:00 (when the daily mean values were similar) in the growing season from May to August 2020 by static chamber–gas chromatography and to investigate the responses of wetland greenhouse gases to different rainfall treatments. The results showed the following: (1) The carbon dioxide (CO2) flux ranged from −49.409 to 374.548 mg·m−2·h−1. The mean CO2 emission flux was greater at 11:00 than at 15:00, and the +25% and +75% treatments exhibited substantially higher CO2 emissions. In addition, the CO2 flux showed a small peak at the beginning of the growing season when the temperature first started to rise. All treatments showed the effect of the CO2 source, and their effects were significantly different. (2) The methane (CH4) flux ranged from −213.839 to 330.976 µg·m−2·h−1 and exhibited an absorption state at 11:00 and an emission state at 15:00. The CH4 emission flux in August (the peak growing season) differed greatly between treatments and was significantly negatively correlated with the rainfall amount (p 2O) flux ranged from −10.457 to 16.878 µg·m−2·h−1 and exhibited a weak source effect throughout the growing season, but it was not significantly correlated with soil moisture; it was, however, negatively correlated with soil temperature. (4) The different treatments resulted in significant differences in soil physical and chemical properties (electrical conductivity, pH, total soil carbon, and total soil nitrogen). The rainfall enhancement treatments significantly improved soil physical and chemical properties

Direct Method-Based Transient Stability Analysis for Power Electronics-Dominated Power Systems

With the extensive application of power electronics interfaced nonsynchronous energy sources (NESs) in modern power systems, the system stability especially the transient stability is prominently deteriorated, and it is crucial to find a comprehensive and reasonably simple solution. This paper proposes a direct method-based transient stability analysis (DMTSA) method which concludes the key steps as follows: (1) the system modeling of Lyapunov functions using mixed potential function theory and (2) the stability evaluation of critical energy estimation. A voltage source converter- (VSC-) based HVDC transmission system is simulated in a weak power grid to validate the proposed DMTSA method under various disturbances. The simulation results verify that the proposed method can effectively estimate the transient stability with significant simplicity and generality, which is practically useful to secure the operation and control for power electronics-dominated power systems

Analyzing the Soil Microbial Characteristics of <i>Poa alpigena</i> Lindm. on Bird Island in Qinghai Lake Based on Metagenomics Analysis

Poa alpigena Lindm. is a dominant forage grass that is widely distributed on the Qinghai-Tibetan Plateau and is often used in the restoration of degraded grasslands. Soil microorganisms are major players in the cycling of materials in terrestrial ecosystems. In this study, based on high-throughput sequencing, the rhizosphere and non-rhizosphere soils of Poa alpigena L. on Bird Island, Qinghai Lake, were used to investigate the effects of Poa alpigena L. on the composition and structure of soil microbial communities, and to establish associated soil microbial gene pools. Results revealed that microorganisms in the soil of Poa alpigena L. on Bird Island belonged to 62 phyla, 112 classes, 245 orders, 518 families, 1610 genera, and 5704 species. The dominant soil bacteria in rhizosphere and non-rhizosphere soils were Proteobacteria (49.62%, 47.13%) and Actinobacteria (30.31% and 31.67%), whereas the dominant fungi were Ascomycota (3.15% and 3.37%) and Basidiomycota (0.98% and 1.06%). Alpha diversity analysis revealed that the microbial richness and diversity in non-rhizosphere soil were significantly higher than those in rhizosphere soil, mainly influenced by soil water content and total nitrogen content. Furthermore, on the basis of LEfSe analysis, Alphaproteobacteria and Betaproteobacteria were identified as prominent differential taxa for rhizosphere and non-rhizosphere soils, respectively. The key differential metabolic pathways of rhizosphere soil microorganisms were those associated with the ATP-binding cassette (ABC) transporter, basal metabolism, and cytochrome P450 metabolism, whereas those of non-rhizosphere soil microorganisms included the gene expression-related pathways, methane metabolism, and pathway associated with degradation of aromatic compounds. These findings indicated that the rhizosphere soil of Poa alpigena L. is selective for microorganisms that play important roles in the oxidation of methane and regulation of the greenhouse effect on Bird Island, and that the soil environment on this island may be subject to contamination with aromatic compounds

Effects of Warming on Microbial Community Characteristics in the Soil Surface Layer of Niaodao Wetland in the Qinghai Lake Basin

Lakeshore wetlands are important terrestrial ecosystems worldwide, and the lakeshore wetlands of the Tibetan Plateau are sensitive to climate change. Therefore, in the context of global warming, studying the effects of temperature rise on surface soil microbial communities is essential for wetland biodiversity conservation. In this study, we used metagenomic sequencing to examine changes in the structure of surface soil microbial communities and their metabolic pathways in the Niaodao lakeshore wetland (NLW) in Qinghai Lake at 1.2 °C warming. Under natural control and warming conditions, Proteobacteria and Actinobacteria were the most dominant bacterial phyla, and Ascomycota and Basidiomycota were the predominant fungal phyla. Soil pH, electrical conductivity, and temperature affected the relative abundances of the dominant soil microbes. Effect size estimation in a linear discriminant analysis revealed 11 differential pathways between warming and natural conditions. Warming considerably enhanced the peptidoglycan biosynthetic pathways but inhibited the ATP-binding cassette transporter pathway. Warming treatment affected α-diversity indices, with an increase in the Shannon, Chao1, and richness indices and a decrease in the Simpson index compared with the index changes for the natural control conditions. Analysis of similarities showed significant differences between warming and control samples. Overall, temperature rise altered surface soil microbial community structure and increased surface soil microbial diversity and abundance in NLW

Effects of Warming on Microbial Community Characteristics in the Soil Surface Layer of Niaodao Wetland in the Qinghai Lake Basin

Lakeshore wetlands are important terrestrial ecosystems worldwide, and the lakeshore wetlands of the Tibetan Plateau are sensitive to climate change. Therefore, in the context of global warming, studying the effects of temperature rise on surface soil microbial communities is essential for wetland biodiversity conservation. In this study, we used metagenomic sequencing to examine changes in the structure of surface soil microbial communities and their metabolic pathways in the Niaodao lakeshore wetland (NLW) in Qinghai Lake at 1.2 &deg;C warming. Under natural control and warming conditions, Proteobacteria and Actinobacteria were the most dominant bacterial phyla, and Ascomycota and Basidiomycota were the predominant fungal phyla. Soil pH, electrical conductivity, and temperature affected the relative abundances of the dominant soil microbes. Effect size estimation in a linear discriminant analysis revealed 11 differential pathways between warming and natural conditions. Warming considerably enhanced the peptidoglycan biosynthetic pathways but inhibited the ATP-binding cassette transporter pathway. Warming treatment affected &alpha;-diversity indices, with an increase in the Shannon, Chao1, and richness indices and a decrease in the Simpson index compared with the index changes for the natural control conditions. Analysis of similarities showed significant differences between warming and control samples. Overall, temperature rise altered surface soil microbial community structure and increased surface soil microbial diversity and abundance in NLW