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Author

Potapov†, M. K. and Simonov, B. V.

Published
2022
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13. Global fine-resolution data on springtail abundance and community structure

Author

Potapov, A. M., Chen, T. -W., Striuchkova, A. V., Alatalo, J. M., Alexandre, D., Arbea, J., Ashton, T., Ashwood, F., Babenko, A. B., Bandyopadhyaya, I., Baretta, C. R. D. M., Baretta, D., Barnes, A. D., Bellini, B. C., Bendjaballah, M., Berg, M. P., Bernava, V., Bokhorst, S., Bokova, A. I., Bolger, T., Bouchard, M., Brito, R. A., Buchori, D., Castano-Meneses, G., Chauvat, M., Chomel, M., Chow, Y., Chown, S. L., Classen, A. T., Cortet, J., Cuchta, P., de la Pedrosa, A. M., De Lima, E. C. A., Deharveng, L. E., Doblas Miranda, E., Drescher, J., Eisenhauer, N., Ellers, J., Ferlian, O., Ferreira, S. S. D., Ferreira, A. S., Fiera, C., Filser, J., Franken, O., Fujii, S., Koudji, E. G., Gao, M., Gendreau-Berthiaume, B., Gers, C., Greve, M., Hamra-Kroua, S., Handa, I. T., Hasegawa, M., Heiniger, C., Hishi, T., Holmstrup, M., Homet, P., Hoye, T. T., Ivask, M., Jacques, B., Janion-Scheepers, C., Jochum, M., Joimel, S., Jorge, B. C. S., Jucevica, E., Kapinga, E. M., Kovac, L., Krab, E. J., Krogh, P. H., Kuu, A., Kuznetsova, N., Lam, W. N., Lin, D., Lindo, Z., Liu, A. W. P., Lu, J. -Z., Lucianez, M. J., Marx, M. T., Mawan, A., Mccary, M. A., Minor, M. A., Mitchell, G. I., Moreno, D., Nakamori, T., Negri, Ilaria, Nielsen, U. N., Ochoa-Hueso, R., Oliveira Filho, L. C. I., Palacios-Vargas, J. G., Pollierer, M. M., Ponge, J. -F., Potapov, M. B., Querner, P., Rai, B., Raschmanova, N., Rashid, M. I., Raymond-Leonard, L. J., Reis, A. S., Ross, G. M., Rousseau, L., Russell, D. J., Saifutdinov, R. A., Salmon, S., Santonja, M., Saraeva, A. K., Sayer, E. J., Scheunemann, N., Scholz, C., Seeber, J., Shaw, P., Shveenkova, Y. B., Slade, E. M., Stebaeva, S., Sterzynska, M., Sun, X., Susanti, W. I., Taskaeva, A. A., Tay, L. S., Thakur, M. P., Treasure, A. M., Tsiafouli, M., Twala, M. N., Uvarov, A. V., Venier, L. A., Widenfalk, L. A., Widyastuti, R., Winck, B., Winkler, D., Wu, D., Xie, Z., Yin, R., Zampaulo, R. A., Zeppelini, D., Zhang, B., Zoughailech, A., Ashford, O., Klauberg-Filho, O., Scheu, S., Negri I. (ORCID:0000-0001-5188-1408), Potapov, A. M., Chen, T. -W., Striuchkova, A. V., Alatalo, J. M., Alexandre, D., Arbea, J., Ashton, T., Ashwood, F., Babenko, A. B., Bandyopadhyaya, I., Baretta, C. R. D. M., Baretta, D., Barnes, A. D., Bellini, B. C., Bendjaballah, M., Berg, M. P., Bernava, V., Bokhorst, S., Bokova, A. I., Bolger, T., Bouchard, M., Brito, R. A., Buchori, D., Castano-Meneses, G., Chauvat, M., Chomel, M., Chow, Y., Chown, S. L., Classen, A. T., Cortet, J., Cuchta, P., de la Pedrosa, A. M., De Lima, E. C. A., Deharveng, L. E., Doblas Miranda, E., Drescher, J., Eisenhauer, N., Ellers, J., Ferlian, O., Ferreira, S. S. D., Ferreira, A. S., Fiera, C., Filser, J., Franken, O., Fujii, S., Koudji, E. G., Gao, M., Gendreau-Berthiaume, B., Gers, C., Greve, M., Hamra-Kroua, S., Handa, I. T., Hasegawa, M., Heiniger, C., Hishi, T., Holmstrup, M., Homet, P., Hoye, T. T., Ivask, M., Jacques, B., Janion-Scheepers, C., Jochum, M., Joimel, S., Jorge, B. C. S., Jucevica, E., Kapinga, E. M., Kovac, L., Krab, E. J., Krogh, P. H., Kuu, A., Kuznetsova, N., Lam, W. N., Lin, D., Lindo, Z., Liu, A. W. P., Lu, J. -Z., Lucianez, M. J., Marx, M. T., Mawan, A., Mccary, M. A., Minor, M. A., Mitchell, G. I., Moreno, D., Nakamori, T., Negri, Ilaria, Nielsen, U. N., Ochoa-Hueso, R., Oliveira Filho, L. C. I., Palacios-Vargas, J. G., Pollierer, M. M., Ponge, J. -F., Potapov, M. B., Querner, P., Rai, B., Raschmanova, N., Rashid, M. I., Raymond-Leonard, L. J., Reis, A. S., Ross, G. M., Rousseau, L., Russell, D. J., Saifutdinov, R. A., Salmon, S., Santonja, M., Saraeva, A. K., Sayer, E. J., Scheunemann, N., Scholz, C., Seeber, J., Shaw, P., Shveenkova, Y. B., Slade, E. M., Stebaeva, S., Sterzynska, M., Sun, X., Susanti, W. I., Taskaeva, A. A., Tay, L. S., Thakur, M. P., Treasure, A. M., Tsiafouli, M., Twala, M. N., Uvarov, A. V., Venier, L. A., Widenfalk, L. A., Widyastuti, R., Winck, B., Winkler, D., Wu, D., Xie, Z., Yin, R., Zampaulo, R. A., Zeppelini, D., Zhang, B., Zoughailech, A., Ashford, O., Klauberg-Filho, O., Scheu, S., and Negri I. (ORCID:0000-0001-5188-1408)

Abstract

Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data.

Published
2024

14. A Stable Solution of a Nonuniformly Perturbed Quadratic Minimization Problem by the Extragradient Method with Step Size Separated from Zero.

Author

Artem'eva, L. A., Dryazhenkov, A. A., and Potapov, M. M.

Abstract

A quadratic minimization problem is considered in Hilbert spaces under constraints given by a linear operator equation and a convex quadratic inequality. The main feature of the problem statement is that the practically available approximations to the exact linear operators specifying the criterion and the constraints converge to them only strongly pointwise rather than in the uniform operator norm, which makes it impossible to justify the use of the classical regularization methods. We propose a regularization method that is applicable in the presence of error estimates for approximate operators in pairs of other operator norms, which are weaker than the original ones. For each of the operators, the pair of corresponding weakened operator norms is obtained by strengthening the norm in the domain of the operator and weakening the norm in its range. The weakening of operator norms usually makes it possible to estimate errors in operators where this was fundamentally impossible in the original norms, for example, in the finite-dimensional approximation of a noncompact operator. From the original optimization formulation, a transition is made to the problem of finding a saddle point of the Lagrange function. The proposed numerical method for finding a saddle point is an iterative regularized extragradient two-stage procedure. At the first stage of each iteration, an approximation to the optimal value of the criterion is refined; at the second stage, the approximate solution with respect to the main variable is refined. Compared to the methods previously developed by the authors and working under similar information conditions, this method is preferable for practical implementation, since it does not require the gradient step size to converge to zero. The main result of the work is the proof of the strong convergence of the approximations generated by the method to one of the exact solutions to the original problem in the norm of the original space. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Globally invariant metabolism but density-diversity mismatch in springtails

Author

Potapov, A. M., Guerra, C. A., van den Hoogen, J., Babenko, A., Bellini, B. C., Berg, M. P., Chown, S. L., Deharveng, L., Kováč, Ľ., Kuznetsova, N. A., Ponge, J. F., Potapov, M. B., Russell, D. J., Alexandre, D., Alatalo, J. M., Arbea, J. I., Bandyopadhyaya, I., Bernava, V., Bokhorst, S., Bolger, T., Castaño-Meneses, G., Chauvat, M., Chen, T. W., Chomel, M., Classen, A. T., Cortet, J., Čuchta, P., Manuela de la Pedrosa, A., Ferreira, S. S. D., Fiera, C., Filser, J., Franken, O., Fujii, S., Koudji, E. G., Gao, M., Gendreau-Berthiaume, B., Gomez-Pamies, D. F., Greve, M., Tanya Handa, I., Heiniger, C., Holmstrup, M., Homet, P., Ivask, M., Janion-Scheepers, C., Jochum, M., Joimel, S., Claudia, S. Jorge B., Jucevica, E., Ferlian, O., Iuñes de Oliveira Filho, L. C., Klauberg-Filho, O., Baretta, D., Krab, E. J., Kuu, A., de Lima, E. C. A., Lin, D., Lindo, Z., Liu, A., Lu, J. Z., Luciañez, M. J., Marx, M. T., Mccary, M. A., Minor, M. A., Nakamori, T., Negri, Ilaria, Ochoa-Hueso, R., Palacios-Vargas, J. G., Pollierer, M. M., Querner, P., Raschmanová, N., Rashid, M. I., Raymond-Léonard, L. J., Rousseau, L., Saifutdinov, R. A., Salmon, S., Sayer, E. J., Scheunemann, N., Scholz, C., Seeber, J., Shveenkova, Y. B., Stebaeva, S. K., Sterzynska, M., Sun, X., Susanti, W. I., Taskaeva, A. A., Thakur, M. P., Tsiafouli, M. A., Turnbull, M. S., Twala, M. N., Uvarov, A. V., Venier, L. A., Widenfalk, L. A., Winck, B. R., Winkler, D., Wu, D., Xie, Z., Yin, R., Zeppelini, D., Crowther, T. W., Eisenhauer, N., Negri I. (ORCID:0000-0001-5188-1408), Potapov, A. M., Guerra, C. A., van den Hoogen, J., Babenko, A., Bellini, B. C., Berg, M. P., Chown, S. L., Deharveng, L., Kováč, Ľ., Kuznetsova, N. A., Ponge, J. F., Potapov, M. B., Russell, D. J., Alexandre, D., Alatalo, J. M., Arbea, J. I., Bandyopadhyaya, I., Bernava, V., Bokhorst, S., Bolger, T., Castaño-Meneses, G., Chauvat, M., Chen, T. W., Chomel, M., Classen, A. T., Cortet, J., Čuchta, P., Manuela de la Pedrosa, A., Ferreira, S. S. D., Fiera, C., Filser, J., Franken, O., Fujii, S., Koudji, E. G., Gao, M., Gendreau-Berthiaume, B., Gomez-Pamies, D. F., Greve, M., Tanya Handa, I., Heiniger, C., Holmstrup, M., Homet, P., Ivask, M., Janion-Scheepers, C., Jochum, M., Joimel, S., Claudia, S. Jorge B., Jucevica, E., Ferlian, O., Iuñes de Oliveira Filho, L. C., Klauberg-Filho, O., Baretta, D., Krab, E. J., Kuu, A., de Lima, E. C. A., Lin, D., Lindo, Z., Liu, A., Lu, J. Z., Luciañez, M. J., Marx, M. T., Mccary, M. A., Minor, M. A., Nakamori, T., Negri, Ilaria, Ochoa-Hueso, R., Palacios-Vargas, J. G., Pollierer, M. M., Querner, P., Raschmanová, N., Rashid, M. I., Raymond-Léonard, L. J., Rousseau, L., Saifutdinov, R. A., Salmon, S., Sayer, E. J., Scheunemann, N., Scholz, C., Seeber, J., Shveenkova, Y. B., Stebaeva, S. K., Sterzynska, M., Sun, X., Susanti, W. I., Taskaeva, A. A., Thakur, M. P., Tsiafouli, M. A., Turnbull, M. S., Twala, M. N., Uvarov, A. V., Venier, L. A., Widenfalk, L. A., Winck, B. R., Winkler, D., Wu, D., Xie, Z., Yin, R., Zeppelini, D., Crowther, T. W., Eisenhauer, N., and Negri I. (ORCID:0000-0001-5188-1408)

Abstract

Soil life supports the functioning and biodiversity of terrestrial ecosystems. Springtails (Collembola) are among the most abundant soil arthropods regulating soil fertility and flow of energy through above- and belowground food webs. However, the global distribution of springtail diversity and density, and how these relate to energy fluxes remains unknown. Here, using a global dataset representing 2470 sites, we estimate the total soil springtail biomass at 27.5 megatons carbon, which is threefold higher than wild terrestrial vertebrates, and record peak densities up to 2 million individuals per square meter in the tundra. Despite a 20-fold biomass difference between the tundra and the tropics, springtail energy use (community metabolism) remains similar across the latitudinal gradient, owing to the changes in temperature with latitude. Neither springtail density nor community metabolism is predicted by local species richness, which is high in the tropics, but comparably high in some temperate forests and even tundra. Changes in springtail activity may emerge from latitudinal gradients in temperature, predation and resource limitation in soil communities. Contrasting relationships of biomass, diversity and activity of springtail communities with temperature suggest that climate warming will alter fundamental soil biodiversity metrics in different directions, potentially restructuring terrestrial food webs and affecting soil functioning.

Published
2023

26. Application of multi-criteria optimization in the advising system of the applicant's personal account.

Author

Shkaberin, V. A., Potapov, M. L., and Maksimyak, I. N.

Subjects
*DIGITAL transformation, *UNIVERSITIES & colleges, *MATHEMATICAL optimization, *TECHNOLOGY convergence, *UNIVERSITY & college admission, *DIGITAL technology
Abstract

In modern conditions of digital transformation of the economy and digitalization of the educational process of higher educational institutions, remote reception of documents of applicants for admission to university studies is becoming widespread. In this regard, there are many heterogeneous tasks: ensuring the procedure for submitting applications for applicants; providing applicants with advice; ensuring the completeness of filling budget places. In the course of solving these problems and achieving the general goal of optimizing the recruitment of applicants for training, information and technology converge. The advising system proposed by the authors is aimed at supporting the choice of areas of study or speciality by applicants when applying for admission to a university. This becomes especially relevant in connection with the increase in the number of possible areas of training and specialities to ten. A mathematical model of the decision-making support system for the choice of training areas and speciality, taking into account the preferences of the applicant, is proposed and an example of application using the hierarchy analysis method is considered. The proposed methodology is aimed at optimizing the choice of areas of training and specialities for a particular applicant and can be implemented in the applicant's personal account. [ABSTRACT FROM AUTHOR]

Published
2022
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31. On a Quadratic Minimization Problem with Nonuniform Perturbations in the Criteria and Constraints.

Author

Artem'eva, L. A., Dryazhenkov, A. A., and Potapov, M. M.

Abstract

A quadratic minimization problem is considered in Hilbert spaces in the presence of a linear operator constraint of the equality type and a quadratic constraint of the inequality type. The problem is reformulated as the problem of finding the saddle point of the normal Lagrange function. For the numerical solution of this problem, a regularized gradient-type method is proposed that iterates both in primal and in dual variables. Approximate solutions are constructed under nonclassical information conditions, when the approximations to the exact operators from the problem statement available to the computer approximate these operators only strongly pointwise and there are no corresponding error estimates in the operator norms of the original spaces. Instead, a priori information is used about the error levels that become accessible when the norms are changed in the domains or ranges of the operators. Estimates of the first type appear after strengthening norms in the domain spaces of the operators, and estimates of the second type appear after weakening norms in their range spaces. At each iteration of the proposed method, two main actions are performed. First, the next approximation to the minimum value of the functional is computed using error estimates of the first type. Then, the next approximation to the optimal solution is found using error estimates of the second type. It is proved that the approximations generated by the proposed method converge to the solution of the original optimization problem in the norm of the original space. [ABSTRACT FROM AUTHOR]

Published
2021
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