Most soil ammonia (NH) emissions originate from soil nitrogen (N) that has been in the form of exchangeable ammonium. Emitted NH not only induces nutrient loss but also has adverse effects on the cycling of N and accelerates global warming. There is evidence that arbuscular mycorrhizal (AM) fungi can alleviate N loss by reducing NO emissions in N-limited ecosystems, however, some studies have also found that global changes, such as warming and N deposition, can affect the growth and development of AM fungi and alter their functionality. Up to now, the impact of AM fungi on NH emissions, and whether global changes reduce the AM fungi's contribution to NH emissions reduction, has remained unclear. In this study, we examined how warming, N addition, and AM fungi alter NH emissions from high pH saline soils typical of a temperate meadow through a controlled microscopic experiment. The results showed that warming significantly increased soil NH emissions, but N addition and combined warming plus N addition had no impact. Inoculations with AM fungi strongly reduced NH emissions both under warming and N addition, but AM fungi effects were more pronounced under warming than following N addition. Inoculation with AM fungi reduced soil NH-N content and soil pH, and increased plant N content and soil net N mineralization rate while increasing the abundance of ammonia-oxidizing bacterial (AOB) gene. Structural equation modeling (SEM) shows that the regulation of NH emissions by AM fungi may be related to soil NH-N content and soil pH. These findings highlight that AM fungi can reduce N loss in the form of NH by increasing N turnover and uptake under global changes; thus, AM fungi play a vital role in alleviating the aggravation of N loss caused by global changes and in mitigating environmental pollution in the future.
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http://dx.doi.org/10.1016/j.jenvman.2024.120239 | DOI Listing |
AAPS PharmSciTech
January 2025
School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India, 110017.
The biopharmaceutical industry has witnessed significant growth in the development and approval of biosimilars. These biosimilars aim to provide cost-effective alternatives to expensive originator biosimilars, alleviating financial pressures within healthcare. The manufacturing of biosimilars is a highly complex process that involves several stages, each of which must meet strict regulatory standards to ensure that the final product is highly similar to the reference biologic.
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January 2025
U.S. Geological Survey, Wetland and Aquatic Research Center, 700 Cajundome Boulevard, Lafayette, LA, 70506, USA.
Blue carbon refers to organic carbon sequestered by oceanic and coastal ecosystems. This stock has gained global attention as a high organic carbon repository relative to other ecosystems. Within blue carbon ecosystems, tidally influenced wetlands alone store a disproportionately higher amount of organic carbon than other blue carbon systems.
View Article and Find Full Text PDFSci Rep
January 2025
College of Agriculture, Guizhou University, Guiyang, 550025, People's Republic of China.
As one of China's most treasured traditional flowers, Rhododendron Subgen. Hymenanthes is renowned worldwide for its evergreen foliage, vibrant flowers, and significant ornamental, landscaping, and economic value. However, climate change poses a serious threat to its future, leading to population declines and endangerment of some species.
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January 2025
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
Tipping elements on Earth are components that undergo rapid and irreversible changes when climate change reaches a tipping point. They are highly sensitive to climate variations and serve as early warning signs of global change. Human activities, including global climate pledges, significantly influence the climate and the state of tipping elements.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA.
Climate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future observations. Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem.
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