Analysis of the Long-Term Soil Respiration Dynamics in the Forest and Meadow Cenoses of the Prioksko-Terrasny Biosphere Reserve in the Perspective of Current Climate Trends

Kurganova, I. N.; Gerenyu, V. O. Lopes de; Khoroshaev, Dmitry; Myakshina, T. N.; Sapronov, D. V.; Zhmurin, V. A.; Kudeyarov, V. N.

doi:10.1134/s1064229320100117

Cited by 35 publications

(11 citation statements)

References 46 publications

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“…This work examines bacteriophages from the soils of the Prioksko-Terrasny Biosphere Reserve, Moscow Region. The reserve is a semi-pure forest area (The Prioksko-Terrasny Nature Biosphere Reserve 2022), with brown forest, sod-weakly podzolic and sod-medium podzolic soil cover being the common soil types on the territory of the reserve (Kurganova et al 2020). The reserve has a unique nursery of European bison, permanent dwellers of this area since the Middle Ages which are now listed in the Red Data Book of the Russian Federation (Zemlyanko et al 2017).…”

Section: Introductionmentioning

confidence: 99%

A New Bacteriophage Of The Family Siphoviridae Isolated From The Soddy-Podzolic Soils Of The Prioksko-Terrasny Nature Reserve

Nikulina

Ryabova

et al. 2023

GES

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Bacteria of the genus Streptomyces, one of the main microorganisms of soils, and their bacteriophages are important inhabitants of soil ecosystems. Important though they are, not much is known about their functional patterns and population dynamics. A question of particular interest, which is still to be understood, is how bacteriophages regulate the population dynamics of Streptomyces and how this regulation affects the soil ecosystem as a whole. Isolation and study of new Streptomyces bacteriophages can help to understand these problems. In this paper, we describe isolation of a new bacteriophage from the soils of the Prioksko- Terrasny Reserve. The analysis of morphology of the new phage allows us to conclude that it belongs to the family Siphoviridae.

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Section: Introductionmentioning

confidence: 99%

A New Bacteriophage Of The Family Siphoviridae Isolated From The Soddy-Podzolic Soils Of The Prioksko-Terrasny Nature Reserve

Nikulina

Ryabova

et al. 2023

GES

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“…In the previous studies of land-atmosphere CO 2 exchange, the measurements of CO 2 concentration mainly focused on the dynamics of soil surface CO 2 concentration, which is characterized as soil CO 2 fluxes or soil respiration [1][2][3][4][5]. However, the soil surface CO 2 concentration not only is determined by the atmospheric CO 2 concentration but also is potentially affected by the underground CO 2 concentration [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Zhuang

Li²,

Wang

et al. 2021

Mathematical Problems in Engineering

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This study attempts to examine environmental controls of the underground CO2 concentration, taking the CO2 concentration 4 m beneath the soil as an example. An SVD-PCA-ANN (singular value decomposition-principal component analysis-artificial neural network) preview model is proposed with the data of underground CO2 concentration and 12 environmental variables (the soil and meteorological data). The R2, RMSE, and RPD values of the proposed model are, respectively, 0.8874, 0.3351, and 2.7929, performing better than the popular preview models like SAE (stacked autoencoders), SVM (support vector machine), and LSTM (long short-term memory). It is proved that the underground CO2 concentration can be approximated by a nonlinear function of the considered variables. Soil temperature, salinity, and wind speed are the leading environmental controls, which explain 32.04%, 13.68%, and 11.21% in the variability of the underground CO2 concentration, respectively. Possible mechanisms associated with the environmental controls are also preliminarily discussed.

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“…The problem of identifying and quantifying permanent factors of CO 2 emission from various types of soils has now been elaborated in sufficient detail (Zavarzin and Kudeyarov 2006;Kuzyakov 2006;Luo and Zhou 2006;Kudeyarov et al 2007;Naumov 2009;Stepanov 2011;Chen et al 2014;Karelin et al 2014Karelin et al , 2020Kurganova et al 2020) and might be considered close to final solution. Importantly, the results of these studies have been «digitized» in the form of simulation mathematical models at various scales (Jenkinson et al 1987;Li et al 1992;McGuire et al 2001;Raich et al 2002;Chertov and Komarov 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The latter is particularly important under conditions of ongoing warming, increasing frequency of droughts and storm events in Russia (Zolotokrylin et al 2007; The second Roshydromet assessment 2014; Kurganova et al 2020;Leskinen et al 2020). In forests, the most significant are sporadic soil CO 2 emission and C-balance drivers associated with tree stand mortality caused by fires, logging and phytophages (Leskinen et al 2020;Karelin et al 2020b).…”

Section: Introductionmentioning

confidence: 99%

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Contribution Analysis Of Permanent And Sporadic Controls Of Co2 Efflux From Chernozems Over Four Seasons

Карелин

Суховеева

2021

GES

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We analyzed four years field observations (2017–2020) of soil CO2 efflux from Chernozems of arable and foreststeppe ecosystems of Kursk region (Russia), which correspond to the period of the maximal current warming. Three wellknown simulation models of different structure and variable sets (DNDC, RothC, T&P) and nonparametric regression analysis were used to estimate annual CO2 emission from soil and contributions of constant and sporadic controls. The applied models satisfactorily predict both the rate of annual soil CO2 emission and its seasonal dynamics on arable Chernozems. However, while RothC is suitable for the whole set of crops considered, DNDC is most suitable for cereals and T&R for bare soils only. A comparison of the contributions of permanent and sporadic factors to soil respiration showed that on an inter-annual scale soil temperature and moisture are less important than yearly crop rotation in Chernozem plowlands, making the latter the most important predictor apart from general land-use type. Although the combination of significant permanent and sporadic factors is able to explain 41% of the soil CO2 emission variance, the leading involvement of spatial controls prevents the construction of quantitative regression models that are able to make forecasts, requiring the use of more sophisticated simulation models (i.e. RothC) in this case. However, the use of the latter does not yet solve the problem of predicting soil CO2 emission and its net balance in forest-covered or steppe areas of Chernozem forest-steppe landscape.

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Analysis of the Long-Term Soil Respiration Dynamics in the Forest and Meadow Cenoses of the Prioksko-Terrasny Biosphere Reserve in the Perspective of Current Climate Trends

Cited by 35 publications

References 46 publications

A New Bacteriophage Of The Family Siphoviridae Isolated From The Soddy-Podzolic Soils Of The Prioksko-Terrasny Nature Reserve

A New Bacteriophage Of The Family Siphoviridae Isolated From The Soddy-Podzolic Soils Of The Prioksko-Terrasny Nature Reserve

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Contribution Analysis Of Permanent And Sporadic Controls Of Co2 Efflux From Chernozems Over Four Seasons

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