Efremova T. T., Avrova A. F., Efremov S. P. Calculation Method for Determination of Carbon in the Peatand Moss Litter of Forest Swamps by Ash Content of Plant Substrates
Federal Research Center Krasnoyarsk Scientific Center, Russian Academy of Sciences, Siberian Branch
Solitary Unit V. N. Sukachev Institute of Forest, Russian Academy of Sciences, Siberian Branch
Akademgorodok, 50/28, Krasnoyarsk, 660036 Russian Federation
E-mail: email@example.com, firstname.lastname@example.org, email@example.com
How to cite: Efremova T. T., Avrova A. F., Efremov S. P. Calculation method for determination of carbon in the peatand moss litter of forest swamps by ash content of plant substrates // Sibirskij Lesnoj Zurnal (Siberian Journal of Forest Science). 2016. N. 6: 73–83 (in Russian with English abstract).
© Efremova T. T., Avrova A. F., Efremov S. P., 2016
Studies were carried out in the low mountain part of the Kuznetsk Alatau. The spruce stands were studied in the peaty valley of river Tunguzhul and swamp near Agaskyr Lake (valley of river Pechische, basin of river Black Iyus). The objects belong to the group of high ash content floodplain peat lands of cryogenic series. We have done the evaluation of organic carbon response to physical-chemical properties – decomposition degree, ashcontent, and bulk density, connected together (r – 0.5–0.7), that in contrast to carbon, is easy determined analytically. Received results according to stepwise regression analysis characterize the strong conditionality predictors of carbon: multiple determination index R2 – 0.86. The highest partial correlation coefficient with the response belongs to the ash content in range (5–68 %). Partia lcorrelation coefficient values of bulk density and decomposition degree is not significant. The determination index (R2 – 0.93), constant and negative coefficient of pair regression analysis are highly significant and evidence of the strong bond of carbon and organic substrate ash content. The relative errorof approximation is in the range of 2–8 % and characterizes the high accuracy of prognosis. Including only one indicator (ash content) in the calculation formula makes it convenient and simple in practical application for the carbon content prediction on the forest litter, modern peat soils, buried peat and peat-mineral formations with ash content of 5–68 %. We are the first to present the geochemical characteristics of forest swamps peat mine for the Kuznetsk Alatau intermountain basins.