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Compound hot–dry events cause more severe impacts on terrestrial ecosystems than dry events, while the differences in recovery time (ΔRT) between hot–dry and dry events and their contributing factors remain unclear. Both remote sensing observations and eddy covariance measurements reveal that hot–dry events prolong the recovery time compared with dry events, with greater prolongation of recovery time in drylands than in humid regions. Random forest regression modeling demonstrates that the difference in vapor pressure deficit between hot–dry and dry events, with an importance score of 35%, is the major factor contributing to ΔRT. The severity of stomatal restriction exceeds that of non-stomatal limitation, which restricts the vegetation productivity that is necessary for the recovery process. These results emphasize the negative effect of vapor pressure deficit on vegetation recovery during hot–dry events and project an extension of drought recovery time considering elevated vapor pressure deficit in a warming world. [ABSTRACT FROM AUTHOR]

Alpine grasslands on the Tibetan Plateau (TP) are highly vulnerable to various treatments and face significant degradation risks due to global environmental changes. However, the response of these grasslands to different external treatments remains uncertain, and the patterns behind functional group responses are unclear, impeding our ability to restore alpine grasslands under changing climate. To address this gap, we compiled a comprehensive database of 797 experimental observations of alpine grasslands in the TP, classified these communities into four common functional groups (e.g., grass and sedge), and conducted a meta-analysis to evaluate the response of aboveground biomass (AGB) to nine different treatments (e.g., grazing and nitrogen addition). Meta-regression was used to analyze the changes in AGB with treatment intensity and duration. We also used functional group asynchrony and unevenness to describe the complementary effects (CEs) and selection effects (SEs) of communities under these treatments. We found that among all the nine treatments, grazing had the biggest negative impact on the alpine grassland community by reducing AGB by 40.3%, mainly through decreasing the biomass of grass and sedge. Conversely, nitrogen and phosphorus addition had the largest positive effect, increasing AGB by 39.4% mainly by promoting the growth of grass. However, the increase in AGB was not significant in the interactive experiments involving grazing and nitrogen addition. The unevenness of the community decreased as grazing time prolongs, simplifying the structure of the community, with severe nutrient losses and weakened CE, while nitrogen addition could rapidly increase the AGB of grass and enhance the SE. CE or SE of communities can be enhanced through the restoration of specific functional groups, favoring the recovery of vegetation. Our study also revealed the potential of nitrogen compensation for repairing the damage caused by overgrazing on alpine grasslands. [ABSTRACT FROM AUTHOR]

In order to meet the practical needs of the people to equitably share the fruits of economic development, urban economic construction should be based on the coordinated development of the environment and the economy, which means that high-quality urban development should be realized through a greener and more inclusive path. Under the wave of the fourth industrial revolution, industrial intelligence, characterized by the application of industrial robots, provides an opportunity to promote the green and inclusive development of Chinese cities. Based on the construction of the Malmquist-Luenberger index to scientifically measure the level of inclusive green growth in cities, this study empirically examined the impact of industrial intelligence development on inclusive green growth and its internal mechanisms based on industrial robot application data from the International Federation of Robotics (IFR) from 2007 to 2020 and city-level data in China using various models. The study found that: (1) Industrial intelligence significantly contributed to inclusive green growth in cities, and the effect was more obvious in cities with lower financial support, a higher level of information infrastructure construction, and greater innovation and entrepreneurial dynamics, demonstrating significant heterogeneity in geographical location characteristics. (2) As far as the channels of action were concerned, industrial intelligence was mainly realized through the channels of promoting digital technology innovation and industrial structure upgrading. (3) The development of industrial intelligence had a positive spatial spillover effect on the enhancement of the inclusive green level of cities. Furthermore, if the driving effect could be effectively realized, the regional sustainable development capacity would be effectively enhanced. This paper seeks to enrich the empirical evidence and empirical research on the benefits of industrial intelligence development in promoting inclusive green growth in cities and to provide policy references for the development of smart manufacturing and inclusive green economic growth in cities. [ABSTRACT FROM AUTHOR]

Terrestrial ecosystem resilience is crucial for maintaining the structural and functional stability of ecosystems following disturbances. However, changes in resilience over the past few decades and the risk of future resilience loss under ongoing climate change are unclear. Here, we identified resilience trends using two remotely sensed vegetation indices, analyzed the relative importance of potential driving factors to resilience changes, and finally assessed the risk of future resilience loss based on the output data of eight models from CMIP6. The results revealed that more than 60% of the ecosystems experienced a conversion from an increased trend to a declined trend in resilience. Attribution analysis showed that the most important driving factors of declined resilience varied regionally. The declined trends in resilience were associated with increased precipitation variability in the tropics, decreased vegetation cover in arid region, increased temperature variability in temperate regions, and increased average temperature in cold regions. CMIP6 reveals that terrestrial ecosystems under SPP585 are expected to experience more intense declines in resilience than those under SSP126 and SSP245, particularly in cold regions. These results highlight the risk of continued degradation of ecosystem resilience in the future and the urgency of climate mitigation actions. [ABSTRACT FROM AUTHOR]

The important role of m6A RNA modification in β-cell function has been established; however, how it regulates pancreatic development and endocrine differentiation remains unknown. Here, we generated transgenic mice lacking RNA methyltransferase-like 3 (Mettl3) specifically in Pdx1+ pancreatic progenitor cells and found the mice with the mutation developed hyperglycemia and hypoinsulinemia at age 2 weeks, along with an atrophic pancreas, reduced islet mass, and abnormal increase in ductal formation. At embryonic day 15.5, Mettl3 deletion had caused a significant loss of Ngn3+ endocrine progenitor cells, which was accompanied by increased Sox9+ ductal precursor cells. We identified histone deacetylase 1 (Hdac1) as the critical direct m6A target in bipotent progenitors, the degeneration of which caused abnormal activation of the Wnt/Notch signaling pathway and blocked endocrine differentiation. This transformation could be manipulated in embryonic pancreatic culture in vitro through regulation of the Mettl3-Hdac1-Wnt/Notch signaling axis. Our finding that Mettl3 determines endocrine lineage by modulating Hdac1 activity during the transition of bipotent progenitors might help in the development of targeted endocrine cell protocols for diabetes treatment. Article Highlights: Loss of Mettl3 in pancreatic progenitor cells reduced the size of the endocrine progenitor pool and postnatal islet mass and caused early-onset diabetes in mice. Mettl3 deletion disturbed the fate determination of bipotent progenitors toward endocrine or ductal lineage during pancreatic development. The Mettl3-Hdac1-Wnt/Notch axis was crucial for endocrine cell formation both in vivo and in vitro. [ABSTRACT FROM AUTHOR]

Natural killer (NK) cells exert critical roles in anti-tumor immunity but how their functions are regulated by epitranscriptional modification (e.g., N6-methyladenosine (m6A) methylation) is unclear. Here we report decreased expression of the m6A "writer" METTL3 in tumor-infiltrating NK cells, and a positive correlation between protein expression levels of METTL3 and effector molecules in NK cells. Deletion of Mettl3 in NK cells alters the homeostasis of NK cells and inhibits NK cell infiltration and function in the tumor microenvironment, leading to accelerated tumor development and shortened survival in mice. The gene encoding SHP-2 is m6A modified, and its protein expression is decreased in METTL3-deficient NK cells. Reduced SHP-2 activity renders NK cells hyporesponsive to IL-15, which is associated with suppressed activation of the AKT and MAPK signaling pathway in METTL3-deficient NK cells. These findings show that m6A methylation safeguards the homeostasis and tumor immunosurveillance function of NK cells. Post transcriptional modifications to RNA may be important in the function of NK cells but this is not fully known. Here the authors show that m6A-methyltransferase METTL3 deletion in NK cells leads to reduced function and protection against tumour challenge through suppressing response to IL-15. [ABSTRACT FROM AUTHOR]