Biological productivity of pine stands growing in southern mountain dark taiga of Krasnoyarsk krai

Abstract The research is devoted to studying the biological productivity of modal Siberian pine stands of the Siberian taiga zone (southern ecoregions). Forest stands of the IV bonitet class, including Bilberry- and Bergenia-dominated forest types, were studied. The study was based on mathematical m...

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Bibliographic Details
Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Mikhaylov, P V, Sultson, S M, Goroshko, A A, Kulakova, N N, Melnichenko, N P
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2021
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Online Access:http://dx.doi.org/10.1088/1755-1315/848/1/012159
https://iopscience.iop.org/article/10.1088/1755-1315/848/1/012159
https://iopscience.iop.org/article/10.1088/1755-1315/848/1/012159/pdf
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Summary:Abstract The research is devoted to studying the biological productivity of modal Siberian pine stands of the Siberian taiga zone (southern ecoregions). Forest stands of the IV bonitet class, including Bilberry- and Bergenia-dominated forest types, were studied. The study was based on mathematical modeling of the forest stand growth combined with the conversion-volumetric method for determining the amount of phytomass converted to sequestered carbon. Tables were proposed that reflect the quantitative characteristics of the age dynamics in phytomass and the carbon contained in it. The range of changes in the phytomass in modal Siberian pine stands throughout all age classes in the Bilberry-dominated forest type was from 40.2 to 297.7 t m −3 , in the Bergenia-dominated forest type - from 52.6 to 292.1 t m −3 . In Siberian pine forests of the IV bonitet class, carbon pools were concentrated in the Bilberry-dominated type from 37.5 to 147.6 t⋅C⋅ha −1 , in the Bergenia-dominated type - from 48.1 to 147.2 t⋅C⋅ha −1 . The results supplemented the existing database on the biological productivity of taiga forests and can be used in organizing forest monitoring and implementing regional environmental programs, including calculating the carbon cycle.