Investor Presentaiton
Climate 2020, 8, 46
16 of 16
30. Levine, R.A.; Wilks, D.S. Statistical Methods in the Atmospheric Sciences. J. Am. Stat. Assoc. 2000, 95, 344.
[CrossRef]
31. Agroclimatic Resources of the Belgorod Region, Leningrad; Hydrometeorological Service of the Central Chernozem
Regions: Leningrad, USSR, 1972.
32. Lebedeva, M.G.; Solovyov, A.B.; Tolstopyatova, O.S. Agroclimatic zoning of the Belgorod region in the
context of climate change. Sci. Sheets BelSU 2015, 31, 160–167.
33. Lebedeva, M.G.; Krymskaya, O.V. A manifestation of modern climate changes in the Belgorod region.
Sci. Sheets BelSU 2008, 6, 188–196.
34. Gustokashina, N.N.; Maksutova, E.V. The tendencies of the climatic change in steppe and forest-steppe of
the Baikal Region. Geog. Nat. Res. 2006, 4, 76–81.
35. Nunes, M.J.; Lupo, A.R.; Lebedeva, M.; Chendev, Y.G.; Solovyov, A.B. The Occurrence of Extreme Monthly
Temperatures and Precipitation in Two Global Regions. Pap. Appl. Geogr. 2017, 38, 1–14. [CrossRef]
36. Lupo, A.R.; Mokhov, I.I.; Chendev, Y.G.; Lebedeva, M.; Akperov, M.; Hubbart, J.A. Studying Summer Season
Drought in Western Russia. Adv. Meteorol. 2014, 2014, 1-9. [CrossRef]
37. Losev, A.P.; Zhurina, L.L. Agrometeorology; Kolos Publishing House: Moscow, Russia, 2001; pp. 296p.
38. Kolomeychenko, B.V. Crop: A Textbook for Students; Agrobusiness Center: Moscow, Russia, 2007; Volume 52.
39. Edgerton, M.D. Increasing Crop Productivity to Meet Global Needs for Feed, Food, and Fuel. Plant Physiol.
2009, 149, 7-13. [CrossRef] [PubMed]
40.
Petin, A.N.; Lebedeva, M.G.; Krymskaya, O.V.; Chendev, Y.G.; Kornilov, A.G.; Lupo, A.R.
Regional manifestations of changes in atmospheric circulation in the Central Black Earth Region (By the
Example of Belgorod Region). Adv. Environ. Bio. 2014, 8, 544-547.
41. Lupo, A.R.; Jensen, A.D.; Mokhov, I.I.; Timazhev, A.V.; Eichler, T.; Efe, B. Changes in global blocking character
during the most recent decades. Atmosphere 2019, 10, 92. [CrossRef]
42. Reddy, V.; Pachepsky, Y. Predicting crop yields under climate change conditions from monthly GCM weather
projections. Environ. Model. Softw. 2000, 15, 79–86. [CrossRef]
43.
FAOSTAT. Food and Agriculture Organization of the United Nations, Statistics Division. Forestry Production
and Trade. Available online: http://www.fao.org/faostat/en/#data/FO (accessed on 4 April 2019).
CC
BY
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).View entire presentation