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

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

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.

Авторлар туралы

N. Rodionova

Institute of Radioengineering and Electronics, RAS

Хат алмасуға жауапты Автор.
Email: rnv1948123@yandex.ru
Ресей, Fryazino, Moscow Region

Әдебиет тізімі

  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).

© Russian Academy of Sciences, 2024

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