V. O. Lopes de Gerenyu
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Analisis of the temporary variability of respiration of soddy-weakly podzolic soil in the forest and meadow coenoses of the southern taiga zoneMoscow University Bulletin. Series 17. Soil science. 2022. N 2. p.28-37Irina N. Kurganova V. O. Lopes de Gerenyu Tatiana N. Myakshina Dmitry V. Sapronov Dmitry Al. Khoroshaev Vasily An. Zhmurinread more1209
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Soil respiration, which is one of the main fluxes in the global carbon cycle, is characterized by high temporal and spatial variability. Based on the year-round continuous 21-year monitoring of the respiration of soddy weakly-podzolic soil in the forest and meadow coenoses of the southern taiga zone, an assessment of the temporal variability of CO2 fluxes from soils was made at different time levels: monthly, seasonal, and annual. The values of total respiration of soddy weakly-podzolic soil varied most significantly at the monthly averaging level (coefficient of variation, CV=25–56%), while the variability of the annual respiration of soils was 20–22%. At the seasonal averaging level, the highest variability (CV=39–44%) was noted for winter CO2 fluxes from soils, whereas the variability of total soil respiration in the other calendar seasons was close and amounted to 26–29%. The effect of the type of cenosis on the total CO2 fluxes from the soddy weakly-podzolic soil was statistically significant both at the annual averaging level and in all calendar seasons of the year, except for winter. The most stable indicator characterizing the seasonal distribution of CO2 fluxes within a year is the contribution of the warm period (May–October) to the total annual CO2 flux from soils, which averages 73–77%. Its variability over 21 years of observation in both coenoses was 8%. It can be recommended to use this indicator to obtain estimates of annual CO2 fluxes from soils based on field measurements carried out only within the growing season. The numerical experiments performed have shown that continuous measurements of CO2 emission from soils for five consecutive years reduces the variability of annual and seasonal CO2 fluxes from soils by more than 2 times compared to a one- or two-year measurement period. This makes it possible to recommend a five-year observation period as the optimal required for obtaining adequate values of annual and seasonal CO2 fluxes from the soils of the southern taiga zone.
Keywords: monthly, seasonal and annual CO2 fluxes from soils; long-term monitoring; interannual variability; biotic and abiotic factors, southern part of Moscow region; biotic and abiotic factors, southern part of Moscow region
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Bioenergetic stability of organic matter in forest and grassland soil (Haplic luvisol)Moscow University Bulletin. Series 17. Soil science. 2025. Vol. 80. N 2. p.63-72Ekaterina An. Filimonenko Natalia P. Samokhina Irina N. Kurganova V. O. Lopes de Gerenyu Maria Al. Uporova Ekaterina Al. Arbuzova Lada G. Sokolova Svetlana Yur. Zorina Nikolay V. Dorofeev Yakov V. Kuzyakovread more916
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Spatial-temporal variability of soil respiration in a temperate continental climate of the southern Moscow RegionMoscow University Bulletin. Series 17. Soil science. N 2. p.80-92Irina N. Kurganova V. O. Lopes de Gerenyu Dmitry Al. Khoroshaev Dmitry V. Sapronov Sergey N. Kivalov Timur A. Nazarov Vera A. Ableevaread more64
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Soil respiration (SR) is characterized by high spatial and temporal variability, which entails a significant uncertainty in estimates of CO2 emission from soils at the levels of individual ecosystems, regions, and the world as a whole. The primary objective of this study was to quantify the contribution of temporal and spatial variability to SR at the annual and seasonal scales by analyzing year-round SR monitoring data from November 2024 to October 2025 in six different biotopes in the southern Moscow region, which belongs to the temperate continental climate zone. SR measurements were conducted 3–4 times per month using the chamber method with parallel monitoring of soil hydrothermal characteristics. The biotopes differed in vegetation type (forest, meadow, agrocenosis) and soil (Entic Podzol (Arenic) or sandy podbur and Haplic Luvisols (Siltic) or gray loamy soil). It was revealed that differences between the average SR values in paired comparisons of the studied biotopes were more often statistically significant in the warm (May–October) and summer (June–August) periods and were least pronounced in the cold season and spring. The use of the nonparametric analysis of variance (PERMANOVA) showed that the contribution of the time factor (seasonality) to the total SR variability over the annual measurement cycle was 85%, while the spatial factor, determined by the type of biotope, was responsible for only 4% of the total SR variance. The "Time" factor was decisive in forming the total SR variability in all seasons of the year except winter, with the highest values of share participation (62–67%) in the warm, spring, and autumn periods, when the dynamics of air and soil temperature, which are the main predictors of SR intensity, are most pronounced. The contribution of the "Biotope" factor was greatest in the winter and summer seasons, amounting to 39% and 25%, respectively. These results should be considered when planning field experiments, for identifying spatial and temporal relationships with other variables, and for predicting carbon emission losses from soils to reduce its uncertainty.Keywords: CO2 emission; annual and seasonal dynamics; uncertainty in CO2 flux estimates; temperature coefficient; two-factor analysis of variance; two-factor analysis of variance; sod-podzolic soil, gray soil; mixed forest zone, broad-leaved forest zone.
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