ABSTRACT
Relationship between plant community functional diversity and ecosystem multifunctionality (EMF) was a new area of ecological research in recent years. Previous studies had mostly focused on the relationship between plant community functional diversity and individual ecosystem function, and lack of understanding of the EMF. In this study, six functional indices of aboveground biomass, soil organic carbon, soil total nitrogen, soil total phosphorus, soil available nitrogen and soil available phosphorus of Gannan alpine meadow were selected to analyze the relationship between plant community functional diversity and EMF on the altitude gradient of Gannan alpine mea-dow by using Bartlett sphericity test and multi-threshold method. The results showed that there was significant altitudinal difference in plant community composition, with species richness and plant coverage at 3500 m were significantly higher than those at other altitudes. Single and multi-functional diversity decreased with the increases of altitude, with significant difference among altitudes. Redundancy analysis showed that single and multi-functional richness, functional evenness and Rao's quadratic entropy were significantly positively correlated with soil temperature, soil water content and soil bulk density, and significantly negatively correlated with soil pH and soil conductivity. In a large threshold range (6%-89%), functional diversity had a significant positive effect on EMF. Based on correlation analysis, optimal regression model and random forest model, it was found that multi-functional richness index had a significant positive relationship with EMF, and that multi-functional richness was also the main driving factor of EMF. Overall, functional richness had the most significant impact on the EMF of alpine meadow in the Qinghai-Tibet Plateau.
Subject(s)
Altitude , Ecosystem , Carbon , China , Grassland , Nitrogen/analysis , Phosphorus , Plants , Soil/chemistry , TibetABSTRACT
Air quality has gradually improved in many parts of China; however, air pollution is become more severe in the Fenwei Plain. Using OMI/Aura OMAERUV L2 and PM2.5 data, spatial autocorrelation analysis and back trajectory modeling were used to explore the spatio-temporal patterns of absorptive aerosols over the Fenwei Plain, and the dominant types, transmission paths, and potential source areas were identified. The main results can be summarized as follows:â Annual mean absorbing aerosol index (AAI) values increased between 2005 and 2019, with high period occurring in 2006, 2013, and 2017, with values exceeding 0.63. Xi'an and Linfen were identified as a 'high-high' cluster, with AAI showing poor spatial stability and a 15.3% increase in area over the past 15 years. In contrast, the area connecting Xi'an and Linfen, which occupies 24.2% of the total area of the region, was identified as a 'low-low' cluster, with a sharp drop of 6.2% in area; â¡ The Fenwei Plain has high AAI values across a large area in winter, exceeding 0.8 in Linfen and Xi'an, and 91.5% of the study area exceeding 0.6. Values were lower in spring (AAI>0.4) and autumn (AAI>0.3), with the lowest values occurring in summer. The atmospheric diffusion conditions in spring, autumn, and winter are poor, associated with anticyclonic high-pressure events. The observed high AAI values were significantly affected by atmospheric diffusion conditions, temperature, and precipitation; ⢠Back trajectory and source contribution modeling showed that long-range transport of air masses from Xi'an and Linfen occurs from the northwest, and short-range transport air masses occurs from the east and south. Two long-range sand and dust source areas were determined (with northwestern and northern wind sources); two carbon source areas were identified (with eastern and southern wind sources); and one combined sand and carbon source area was identified (from the Loess Plateau). Of these sources, the northwestern wind source, the Loess Plateau, and the southern wind source have significant influence in Xi'an, and the eastern wind source and the Loess Plateau have a significant impact on Linfen. Linfen is little affected by the northwestern wind source and the dust from the northern wind source. Based on the spatial distribution of CO and its correlation with AAI, it is concluded that cardon in the dominant absorbent aerosol in Linfen dust and carbon are most important in Xi'an.
