How empowering leadership influences medical workers' work–family conflict in the post-pandemic era: A moderated mediation model of leadership “black box”

After experiencing the COVID-19 pandemic, the status and mechanisms of leadership, and the challenges for medical workers in terms of family–work conflicts, have caused widespread concern. In the post-pandemic era, based on role theory and the stressor-detachment model, this paper seeks to break the “black box” of negative effects that can be caused by leadership, research the mechanism and boundary conditions of those negative effects, and explore factors to reduce those negative effects. We recruited 1,010 Chinese medical workers fighting COVID-19 on the frontline. Our study results showed that there was a significant negative correlation between empowering leadership and work–family conflict, and this relationship was completely mediated by role stress, while psychological detachment moderated the relationship between role stress and work–family conflict. Moreover, psychological detachment moderated the mediating effect of empowering leadership on work–family conflict through role stress. Therefore, higher levels of psychological detachment were less conducive to medical workers' family–work conflict. This study has important theoretical significance and practical value for revealing the negative effects and mechanisms of empowering leadership and for medical workers to better deal with work–family relations

COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data

Globally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil‐to‐atmosphere CO2 flux, commonly though imprecisely termed soil respiration (RS), is one of the largest carbon fluxes in the Earth system. An increasing number of high‐frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open‐source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long‐term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS, the database design accommodates other soil‐atmosphere measurements (e.g. ecosystem respiration, chamber‐measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package

Plant parameters

The data were collected in the field. Excel was used to create the data. SE-standard error, Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urin

Impact of grazing on soil carbon and microbial biomass in typical steppe and desert steppe of Inner Mongolia.

The potential of grazing lands to sequester carbon must be understood to develop effective soil conservation measures and sustain livestock production. Our objective was to evaluate the effects of grazing on soil organic carbon (SOC), total nitrogen (TN), microbial biomass carbon (MBC) in Typical steppe and Desert steppe ecosystems, which are both important grassland resources for animal grazing and ecological conservation in China, and to derive region-specific soil C changes associated with different stocking rates (ungrazed, UG; lightly grazed, LG; moderately grazed, MG; heavily grazed, HG). This study substantiated that significant higher SOC, TN and MBC appeared with the treatment of LG in typical steppe. From 2004 to 2010, grazing treatments increased soil carbon storage in desert steppe, which was partly due to the grazing history. The higher MBC concentration and MBC/SOC suggest a great potential for carbon sequestration in the desert steppe ecosystem. The greater MBC in desert steppe than typical steppe was mainly the result of higher precipitation and temperature, instead of soil substrate. The change of MBC and the strong positive relationships between MBC and SOC indicated that MBC in the soil was a sensitive index to indicate the dynamics of soil organic carbon in both steppes in Inner Mongolia of China

Data from: Changes in plant, soil and microbes in a typical steppe from simulated grazing: explaining potential change in soil carbon

Grazing can directly or indirectly influence carbon (C) inputs, turnover, and retention in grassland soil. However, relative to the plant response to grazing, belowground biota and process responses are more complex and often do not correlate with the aboveground responses. Ungulate grazing involves three mechanisms - defoliation (removal of plant shoot tissue), dung and urine return, and trampling. An evaluation of the relative roles of these mechanisms and their combinations in grazing can explain the causes of changes in grassland, thereby explaining the soil carbon sequestration in a steppe ecosystem. In this study, we examined the changes in plants attributes, soil abiotic characteristics, and the soil microbial community in response to mowing (M), dung and urine addition (DU), simulated trampling (T), and their combinations by conducting a 3-year experiment in a steppe ecosystem in Inner Mongolia, China. Most of the variation in the grazing effects on grassland was explained by defoliation through decreased plant production and soil respiration and altered vegetation composition. Dung and urine return was second to defoliation in explaining grazing effects on grassland, and lead to increasing plant C inputs to the soil, while simultaneously potential loss of soil C due to the increase of the abundance of bacteria and soil respiration, eventually accelerated soil C cycling. An interaction between defoliation and trampling on microbial growth was observed in our study: trampling increased the abundance of total bacteria, fungi, and AMF only in the no-mowing plots. Trampling led to plant allocation to the belowground tissues and increased the abundance of fungi and AMF, which is critical for soil carbon sequestration, and trampling with defoliation further decreased the abundance of soil microbes, which may decelerate soil C cycling and increase its retention time. These results indicate that defoliation and dung and urine return play major roles in explaining grazing effects on grassland systems, including plant, soil, and microbe parameters examined, but the trampling effects and the interaction between defoliation and trampling are the two key factors that contribute to explaining the overall effects of grazing on soil carbon sequestration in a typical steppe ecosystem in Inner Mongolia

PCA and RDA analysis data sheet

The data were collected in the field. Excel was used to create the data. Gram+-gram positive bacteria, Gram--gram negative bacteria, AMF- arbuscular mycorrhizal fungi, B/F-bacteria to fungi ratio, SOC- soil organic carbon, TN- soil total nitrogen, C/N-soil organic carbon to total nitrogen ratio. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urin

Soil microbes' parameters

The data were collected in the field. Excel was used to create the data. SE-standard error, Gram+-gram positive bacteria, Gram--gram negative bacteria, AMF- arbuscular mycorrhizal fungi, B/F-bacteria to fungi ratio. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urin

Soil parameters

The data were collected in the field. Excel was used to create the data. SE-standard error, MBC-soil microbial biomass carbon, MBN- soil microbial biomass nitrogen. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urin