PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Temporal change of soil chemical properties in the southern forest-steppe of the Ufa region of the Republic of Bashkortostan, Russia

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern technologies make it possible to obtain a lot of diverse information about the soil properties using satellite images, but field studies are also required to create or refine digital soil maps. To create a digital soil map scaled 1:25 000 in 2016, a classical field study was conducted with the laying of soil sections in places with the same coordinates as in the mapping of 1982. It allowed to carry out retrospective monitoring of transformation of morphogenetic and agrochemical properties of soils of the southern forest-steppe of the Republic of Bashkortostan (Russia) for the 34-year period of farm use. Thus, the correction and digitization of the soil map allowed to establish that arable land occupies 69.792 ha (67.9%) in the structure of agricultural land (102 811 ha). The monitoring showed deterioration of the main characteristics of arable soil fertility: the diminishing of humus-accumulative horizons, significant decrease of humus content (p ≤ 0.05), a small but reliable acidification of the medium reaction and reducing labile phosphorus. Losses of organic matter occurred mainly in the most fertile soils; their proportion decreased from 55.9% of the total area of agricultural land to 12.4%.
Wydawca
Rocznik
Tom
Strony
8--12
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
  • Bashkir State Agrarian University, Department of Soil Science, Botany and Plant Breeding, 50 Let Oktyabrya Str. 34, Ufa, Republic of Bashkortostan, 450001 Russia
  • Bashkir State Agrarian University, Department of Soil Science, Botany and Plant Breeding, 50 Let Oktyabrya Str. 34, Ufa, Republic of Bashkortostan, 450001 Russia
  • Bashkir State Agrarian University, Department of Soil Science, Botany and Plant Breeding, 50 Let Oktyabrya Str. 34, Ufa, Republic of Bashkortostan, 450001 Russia
  • Ufa Institute of Biology “Ufa Federal Research Center of the Russian Academy of Sciences”, Laboratory of Soil Science
  • Ufa Institute of Biology “Ufa Federal Research Center of the Russian Academy of Sciences”, Laboratory of Soil Science
Bibliografia
  • ASKARI M.S., CUI J., O’ROURKE S.M., HOLDEN N.M. 2015. Evaluation of soil structural quality using VIS–NIR spectra. Soil and Tillage Research. Vol. 146. p. 108–117. DOI 10.1016/j.still.2014.03.006.
  • ASYLBAEV I.G., GABBASOVA I.M., KHABIROV I.K., GARIPOV T., LUKMANOV N., RAFIKOV B.V., KISELEVA A., KHUZHAKHMETOVA G., MUKHAMEDYANOVA A., MUSTAFIN R.F. 2018. Bioaccumulation of chemical elements by old-aged pine trees in the Southern Urals. Journal of Engineering and Applied Sciences. Vol. 13. No. S11 p. 8746–8751. DOI 10.3923/jeasci.2018.8746.8751.
  • ASYLBAEV I.G., KHABIROV I.K. 2016. The contents of alkali and alkaline earth metals in soils of the southern Cis-Ural region. Eurasian Soil Science. Vol. 49. No. 1 p. 24–32. DOI 10.7868/S0032180X16010020.
  • CHEN S., ARROUAYS D., ANGERS D.A., CHENU C., BARRÉ P., MARTIN M.P., SABY N.P.A., WALTER C. 2019. National estimation of soil organic carbon storage potential for arable soils: A data-driven approach coupled with carbon-landscape zones. Science of the Total Environment. Vol. 666 p. 355–367. DOI 10.1016/j.scitotenv.2019.02.249.
  • COLLARD F., KEMPEN B., HEUVELINK G.B.M., SABY N.P.A., RICHER DE FORGES A.C., LEHMANN S., NEHLIG P., ARROUAYS D. 2014. Refining a reconnaissance soil map by calibrating regression models with data from the same map (Normandy, France). Geoderma Regional. Vol. 1 p. 21–30. DOI 10.1016/j.geodrs.2014.07.001.
  • DE ORO L.A., COLAZO J.C., AVECILLA F., BUSCHIAZZO D.E., ASENSIO C. 2019. Relative soil water content as a factor for wind erodibility in soils with different texture and aggregation. Aeolian Research. Vol. 37 p. 25–31. DOI 10.1016/j.aeolia.2019.02.001.
  • DEBELLA-GILO M., ETZELMULLER B. 2009. Spatial prediction of soil classes using digital terrain analysis and multinomial logistic regression modeling integrated in GIS: Examples from Vestfold County, Norway. Catena. Vol. 77 p. 8–18. DOI 10.1016/j.catena.2008.12.001.
  • DELLA CHIESA S., LA CECILIA D., GENOVA G., BALOTTI A., THALHEIMER M., TAPPEINER U., NIEDRIST G. 2019. Farmers as data sources: Cooperative framework for mapping soil properties for permanent crops in South Tyrol (Northern Italy). Geoderma. Vol. 342 p. 93–105. DOI 10.1016/j.geoderma.2019.02.010.
  • DOSPEKHOV B.A. 1985. Metodika polevogo opyta [Field test methods]. Moscow. Agropromizdat pp. 352.
  • GABBASOVA I.M., SULEIMANOV R.R., KOMISSAROV M.A., GARIPOV T.T., SIDOROVA L.V., KHAZIEV F.K., KHABIROV I.K., FRUEHAUF M., LIEBELT P. 2016. Temporal changes of eroded soils depending on their agricultural use in the southern Cis-Ural region. Eurasian Soil Science. Vol. 49. No. 10 p. 1204–1210. DOI 10.1134/S1064229316100070.
  • GHAEMI M., ASTARAEI A.R., EMAMI H., NASSIRI MAHALATI M., SANAEINEJAD S.H. 2014. Determining soil indicators for soil sustainability assessment using principal component analysis of Astan Quds-east of Mashhad – Iran. Journal of Soil Science and Plant Nutrition. Vol. 14. No. 4 p. 987–1004.
  • HENGL T., DE JESUS J.M., HEUVELINK G.B., GONZALEZ M.R., KILIBARDA M., BLAGOTIĆ A., WEI SHANGGUAN, WRIGHT M. N., GENG X., BAUER-MARSCHALLINGER B., GUEVARA M.A., VARGAS R., MACMILLAN R.A., BATJES N.H., LEENAARS J.G.B., RIBEIRO E., WHEELER I., MANTEL S., KEMPEN B. 2017. SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE. Vol. 12. No. 2 p. 1–40. DOI 10.1371/journal.pone.0169748.
  • KHITROV N.B. 2008. An approach for a retrospective assessment of soil changes. Eurasian Soil Science. Vol. 41. No. 8 p. 793–804. DOI 10.1134/S1064229308080012.
  • KIANI-HARCHEGANI M., SADEGHI S.H., SINGH V.P., ASADI H., ABEDI M. 2019. Effect of rainfall intensity and slope on sediment particle size distribution during erosion using partial eta squared. Catena. Vol. 176 p. 65–72. DOI 10.1016/j.catena.2019.01.006.
  • KOMISSAROV M.A., GABBASOVA I.M. 2017. Erosion of agrochernozems under sprinkler irrigation and rainfall simulation in the southern forest-steppe of Bashkir Cis-Ural region. Eurasian Soil Science. Vol. 50. No. 2 p. 253–261. DOI 10.1134/S1064229317020077
  • LIMA A.C.R., BRUSSAARD L., TOTOLA M.R., HOOGMOED W.B., DE GOEDE R.G.M. 2013. A functional evaluation of three indicator sets for assessing soil quality. Applied Soil Ecology. Vol. 64 p. 194–200. DOI 10.1016/j.apsoil.2012.12.009.
  • MENDES W.D.S., MEDEIROS NETO L.G., DEMATTÊ J.A.M., GALLO B.C., RIZZO R., SAFANELLI J.L., FONGARO C.T. 2019. Is it possible to map subsurface soil attributes by satellite spectral transfer models? Geoderma. Vol. 343 p. 269–279. DOI 10.1016/j.geoderma.2019.01.025.
  • MILLER G.A., REES R.M., GRIFFITHS, B.S., BALL B.C., CLOY J.M. 2019. The sensitivity of soil organic carbon pools to land management varies depending on former tillage practices. Soil and Tillage Research. Vol. 189 p. 236–242. DOI 10.1016/j.still.2019.02.010.
  • MINASNY B., MCBRATNEY A.B. 2016. Digital soil mapping: A brief history and some lessons. Geoderma. Vol. 264 p. 301–311. DOI 10.1016/j.geoderma.2015.07.017.
  • Nauka 1975. Agrokhimicheskiye metody issledovaniya pochvy [Agrochemical methods of soil examination]. Moscow pp. 656.
  • RAHMANIPOUR F., MARZAIOLI R., BAHRAMI H.A., FEREIDOUNI Z., BANDARABADI S.R. 2014. Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran. Ecological Indicators. Vol. 40 p. 19–26. DOI 10.1016/j.ecolind.2013.12.003.
  • ROZHKOV V.A. 2011. Formal apparatus of soil classification. Eurasian Soil Science. Vol. 44. No. 12 p. 1289–1303.
  • SOBOL N.V., GABBASOVA I.M., KOMISSAROV M.A. 2017. Effect of rainfall intensity and slope steepness on the development of soil erosion in the southern Cis-Ural region (a model experiment). Eurasian Soil Science. Vol. 50. No. 9 p. 1098–1104. DOI 10.1134/S106422931709006X.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9d7afabf-40b3-4dbb-8616-3eed31364be8
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.