Publications by authors named "Haibin Kang"

Soil microorganisms are often limited by nutrients, representing an important control of heterotrophic metabolic processes. However, how nutrient limitations relate to microbial community structure and stability remains unclear, which creates a knowledge gap to understanding microbial biogeography and community changes during forest restoration. Here, we combined an eco-enzymatic stoichiometry model and high-throughput DNA sequencing to assess the potential roles of nutrient limitation on microbial community structure, assembly, and stability along a forest restoration sequence in the Qinling Mountains, China.

View Article and Find Full Text PDF

The process of vegetation restoration is often accompanied by significant changes in aboveground plant diversity. To explore the driving mechanism of litter nutrient-soil nutrient-enzyme activity stoichiometry on aboveground vegetation change is of great importance for maintaining regional biodiversity conservation and ecological stability. Taking typical abandoned farmland of different restoration years (1, 8, 16, 31, and 50 a) in the Qinling Mountains as the research object, the variation characteristics of plant community diversity during vegetation restoration were analyzed through field investigation.

View Article and Find Full Text PDF

Vegetation restoration is assumed to enhance carbon (C) sequestration in terrestrial ecosystems, where plant producers and microbial decomposers play key roles in soil C cycling. However, it is not clear how the nutrient limitation patterns of plants and soil microbes might change during vegetation restoration. We investigated the nutrient limitations of the plant and microbial communities along a natural vegetation restoration chronosequence (1, 8, 16, 31, and 50 years) following farmland abandonment in Qinling Mountains, China, and assessed their relationships with soil factors.

View Article and Find Full Text PDF

Clarifying the characteristics of soil microbial nutrient limitation and its driving mechanisms during vegetation restoration after farmland abandonment has important implications for revealing soil nutrient cycling and maintaining ecosystem stability. To determine the limitation of soil microbial nutrients and its relationship with soil properties along a chronosequence of abandoned farmland in the middle of the Qinling Mountains, the soil physicochemical properties and five enzyme activities (-1,4-glucosidase (BG), cellobiohydrolase (CBH), -1,4--acetylglucosaminidase (NAG), leucine aminopeptidase (LAP), and acid phosphatase (AP)) were measured, and models of extracellular enzymatic activity were applied. The results showed that the activities of BG, CBH, NAG, LAP, and AP were significantly increased following farmland abandonment.

View Article and Find Full Text PDF

A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 10 mol and 1.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates soil chemical properties (SCPs) and their fertility in the Yan'an urban forest, an area where such research is less common compared to farmland studies in the Loess Plateau of China.
  • The research compares two spatial interpolation methods, Ordinary Kriging (OK) and Regression Kriging (RK), concluding that RK is better for most nutrient assessments because it factors in terrain influences.
  • Relationships between vegetation cover, terrain, and soil depth show that as soil layer depth increases, overall soil fertility decreases, with specific vegetation types exhibiting significant differences in nutrient content.
View Article and Find Full Text PDF