Changes in NDVI, black carbon and soil moisture in the “Burtinskaya Steppe” of the Orenburg nature reserve according to satellite and ground data in 2000–2022

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详细

In this work, the dynamics of changes and trends in climatic conditions, the vegetation index NDVI, the humidity of the upper soil layer and the content of black carbon in the atmosphere in the conditions of steppe fires by ground and satellite measurements for the period 2000–2022 are traced for the “Burtinskaya Steppe” in the Orenburg region. The negative trend in the values of the Selyaninov hydrothermal coefficient (HTC) indicates a tendency to weaken the moisture supply of the territory, which contributes to the occurrence of steppe fires. The consequence of climatic trends is a positive trend in the values of black carbon in the atmosphere of the studied area, as well as a tendency to decrease the biomass and humidity of the upper soil layer. Absolute interannual values were marked in 2010: minimum values of NDVI, soil moisture and maximum values of black carbon.

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作者简介

N. Rodionova

Institute of Radioengineering and Electronics, RAS

编辑信件的主要联系方式.
Email: rnv1948123@yandex.ru
俄罗斯联邦, Fryazino, Moscow Region

参考

  1. Bakiev A.G., Balkin A.S., Barbazyuk E.V., Galaktionova L.V., Gorelov R.A., Dusaeva G.X., Kalmy`kova O.G. et al. // Opy`t organizacii monitoringovy`x issledovanij izmenenij stepny`x e`kosistem posle pozhara: podxody` i metody`. Orenburg: OOO “Tipografiya “Yuzhny`j Ural”. 2017. 108 p. (In Russian).
  2. Bujvolov Yu.A, By`kova E.P., Gavrilenko V.S. et al. Analiz otechestvennogo i zarubezhnogo opy`ta upravleniya pozharami v stepyax i svyazanny`x s nimi e`kosistemax, v chastnosti, v usloviyax OOPT / [E`lektr. resurs] (URL: http://www.biodiversity.ru/programs/steppe/docs/pozhar/fires-in-steppe_review21012012.pdf). (In Russian).
  3. Ek M.B., Mitchell K.E., Lin Y. et al. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model // J. Geophys. Res. Atmos. 2003.108. 8851. doi: 10.1029/2002JD00 3296.
  4. Funk C., Peterson P., Landsfel, M., Pedreros D., Verdin J., Shukla S., Michaelsen J. The climate hazards infrared precipitation with stations – a new environmental record for monitoring extremes // Sci. data. 2015. 2. 150066.
  5. Gelaro R., McCarty W., Suárez M.J., Todling R., Molod A., Takacs L., Randles C. A., Darmenov A., Bosilovich M. G., Reichle R., Wargan K. The modern-era retrospective analysis for research and applications, version 2 (MERRA-2) // J. Clim. 2017.30 (14). P. 5419–5454.
  6. McNally A., Arsenault K., Kumar S. et al. A land data assimilation system for sub-Saharan Africa food and water security applications // Scientific Data. 2017. 4. 170012. doi: 10.1038/sdata.2017.12.
  7. Pavlejchik V.M. Mnogoletnyaya dinamika prirodnyh pozharov v stepnyh regionah (na primere Orenburgskoj oblasti) // Vestnik Orenburgskogo Gosudarstvennogo Universiteta. 2016. № 6 (194). P. 74–80. (In Russian).
  8. Selyaninov G.T. O sel'skohozyajstvennoj ocenke klimata [On agricultural climate assessment] // Trudy po sel'skohozyajstvennoj meteorologii. 1928. Vyp. 20. P. 165–177. (In Russian).
  9. Selyaninov G.T. Principy agroklimaticheskogo rajonirovaniya SSSR [Principles of agro-climatic zoning of the USSR] // Voprosy agroklimaticheskogo rajonirovaniya SSSR. M.: MSKH SSSR. 1958. P. 7–14. (In Russian).

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1. JATS XML
2. Fig. 1. Map of Belyaevsky district of Orenburg region.

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3. Fig. 2. Graphs of the values ​​of the sum of temperatures and precipitation*10 and the values ​​of the hydrothermal coefficient for May–September 2005–2022.

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4. Fig. 3. Maps of fires in the Burtinskaya steppe for 2002, 2009, 2010 and 2014.

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5. Fig. 4. Seasonal (a) and interannual (b) variations in black carbon values ​​for 2000–2022.

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6. Fig. 5. Seasonal (a) and interannual (b) variations of NDVI for the Burtynskaya steppe for the period 2000–2022.

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7. Fig. 6. Location of the RUSWET-AGRO Orenburgskaya_#1 station on the map of the Orenburg region.

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8. Fig. 7. a – seasonal variations in ground measurements of soil moisture at a depth of 0–20 cm and b – average monthly values ​​of WP at a depth of 0–10 cm according to the FLDAS model for 1994–1998 at the Orenburgskaya_#1 station.

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9. Fig. 8. Average monthly variations in the WP values ​​based on ground-based and FLDAS data for the Orenburgskaya_#1 station.

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10. Fig. 9. Graphs of seasonal (a) and interannual (b) variations in average monthly values ​​of WP at a depth of 0–10 cm for the Burtinskaya steppe region according to the FLDAS model.

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