RUDN University biologist has determined what determines the activity of soil microbes and how climate change affects it
Global warming is changing conditions in all regions of the Earth. Equally important deviationsfollow changes intemperature and precipitation. For example, changes in the activity of microbes in the soil. Soil microorganisms are an important component of the carbon cycle. If their activity changes, this entails a restructuring of the entire system. There is no unambiguous understanding of how global warming will affect the microbial community ofthe soil. There are hypotheses and theories that are tested in the laboratory. A biologist RUDN University studied this effect on the example of different ecosystems with a change in height.
“The altitude gradient in the mountains is an ’open laboratory’forstudying environmental hypotheses and analyzing the expected effects of global warming. If we consider the properties of the soil in areas ranging from forest to alpine meadows, the carbon contentchangesthe most. This is due to a decrease in air temperature and an increase in precipitation. Because of this, the microbiological decomposition of soil organic matter slows down, which leads to carbon accumulation. Global warming changes the distribution of microbial activity of the soil depending on the height. Therefore,to predict changes caused by global warming, it is necessary to quantify the activity of microbial communities at different heightsof the gradient,”- Candidate of Biological Sciences Kristina Ivashchenko, Senior Lecturer at the Department of Landscape Design and Sustainable Ecosystems of RUDN University.
Biologists have studied different ecosystems on the slope of Mount Tkachukha in the North-West of the Caucasus Mountains. The height difference in the selected area is 1.2 km. On the slope, five zones can be clearly distinguished — mixed forest, spruce forest, deciduous forest, subalpine meadow and alpine meadow. The spread of the average annual temperature on the site is from 3.2 to 5.6 ° C. In each zone, RUDN biologists identified 12 sites, took soil samples, and studied the vegetation cover.
Biologists have found that the distribution of soil enzymes that secrete microorganisms cannot be explained by changes in height and nutrient content alone. For example, the activity of leucinaminopeptidase depends on the type of vegetation and the abundance of grass, β-glucosidase depends on the ratio of carbon and nitrogen, and phosphatase depends on temperature. In the results, biologists called the vegetation cover (species diversity, composition, density) the main driving factor in changing microbial activity in different ecosystems.
“Vegetation cover is sensitive to global warming. In the future, vegetation zones will inevitably change.The diversity of ecosystems in different climatic zones will create many scenariosfor microbialactivity in soils under conditions of global warming. Consequently, the feedback of ecosystems to global warming will become more uncertain. Theresults give an understandingofthe patterns and driving forces of soil microbial activity in the entire spectrum of ecosystems in the temperate climatic zone, ”- Candidate of Biological Sciences Kristina Ivashchenko, Senior Lecturer at the Department of Landscape Design and Sustainable Ecosystems of RUDN University.
The results are published in the journal Applied Soil Ecology.
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Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.