Intricate synergistic effects between air pollution and carbon emission: An emerging evidence from China.

Due to global climate change and intensifying anthropogenic pollution, China confronts the dual challenge of controlling particulate matter 2.5 μm (PM) pollution and reducing carbon emissions. Quantifying the characteristics of PM concentrations and CO emissions, as well as identifying the driving factors and synergistic effects of PM reduction and CO mitigation, are crucial steps in promoting sustainable urban development and achieving the Sustainable Development Goals (SDGs) in China.

Spatial-temporal evolution patterns and drivers of PM chemical fraction concentrations in China over the past 20 years.

The quantitative assessment of the spatial and temporal variability and drivers of fine particulate matter (PM) fraction concentrations are important for pollution control and public health preservation in China. In this study, we investigated the spatial temporal variation of PM chemical component based on the PM chemical component datasets from 2000 to 2019 and revealed the driving forces of the differences in the spatial distribution using geodetector model (GD), multi-scale geographically weighted regression model (MGWR), and a two-step clustering approach. The results show that: the PM chemical fraction concentrations show a trend of first increasing (2000-2007) and then decreasing (2007-2019).

A new species of the -group (Araneae, Clubionidae) from Jiugong Mountains, Hubei Province, central China.

Background: The group is one of most diverse species-group in genus Latreille, 1804. Currently, a total of 81 group species are known worldwide, amongst them 67 were recorded from China. However, the diversity of this group in China is still insufficiently known.

Spatial patterns of leaf δC and δN of aquatic macrophytes in the arid zone of northwestern China.

Analysis of stable isotope composition is an important tool in research on plant physiological ecology. However, large-scale patterns of leaf-stable isotopes for aquatic macrophytes have received considerably less attention. In this study, we examined the spatial pattern of stable isotopes of carbon (δC) and nitrogen (δN) of macrophytes leaves collected across the arid zone of northwestern China (approximately 2.

[Species richness and influencing factors of aquatic plant in the Kaidu River Basin, Xinjiang, China].

River is a continuous, flowing, unique, and complete ecosystem. Studies on the aquatic macrophyte richness and its influencing factors were important for river ecology study. In this study, species richness, main aquatic plant community types and their quantitative characteristics, and the influencing factors of aquatic macrophyte in the Kaidu River Basin, Xinjiang, were examined by field investigation.

Spatial Patterns of Leaf Carbon, Nitrogen, and Phosphorus Stoichiometry of Aquatic Macrophytes in the Arid Zone of Northwestern China.

Ecological stoichiometry is a powerful indicator for understanding the adaptation of plants to environment. However, understanding of stoichiometric characteristics of leaf carbon (C%), nitrogen (N%), and phosphorus (P%) for aquatic macrophytes remains limited. In this study, 707 samples from 146 sites were collected to study the variations in leaf C%, N%, and P%, and tried to explore how different environmental conditions affect leaf C, N, and P stoichiometry.