ASSESSMENT ALGORITHM FOR IN THE COPPICE OAK FORESTS OF THE SOUTHWEST CENTRAL RUSSIAN UPLAND

PDF

Published: 2020-08-15

Page: 16-20


ALEXANDR V. DUNAEV *

Belgorod State University, 85, Pobedy St., Belgorod, 308015, Russia.

ELENA N. DUNAEVA

Belgorod State University, 85, Pobedy St., Belgorod, 308015, Russia.

VALERIY K. TOKHTAR

Belgorod State University, 85, Pobedy St., Belgorod, 308015, Russia.

NATAL'YA A. MARTYNOVА

Belgorod State University, 85, Pobedy St., Belgorod, 308015, Russia.

*Author to whom correspondence should be addressed.


Abstract

The object of research was the wood-destroying fungus Laetiporus sulphureus (Bull.) Murrill from the community of pathogenic Polyporaceae growing on oak Quercus robur L. It is known that the immature fruiting bodies of Laetiporus sulphureus living on deciduous trees have nutritional and medicinal value. The subject of research is the development of an algorithm for assessing the yield and stock of Laetiporus sulphureus. Experimental studies were conducted in 2010−2018 in the coppice oak forests of the southwest of the Central Russian Upland. The studies were conducted in 2010−2018 in the oak forests of the southwest of the Central Russian Upland and a field survey is conducted. As a result of statistical processing of the obtained experimental material, the prevalence models of Laetiporus sulphureus on different types of oak substrate are proposed. The models served as the basis for an assessment algorithm for the yield and stock of Laetiporus sulphureus. The researchers estimate the area occupied by 100 oak trees in the stand, correlate it with an area of 1 ha to recalculate the number of oak trees and tree units of oak (dead wood, windbreak, stumps) with fruit bodies of L. sulphureus (the number of fruit bodies of L. sulphureus) per 1 ha in the first half year.

Keywords: Assessment algorithm, yield, Laetiporus sulphureus, fruit body, Quercus robur, coppice oak forest, Central Russian Upland.


How to Cite

DUNAEV, ALEXANDR V., ELENA N. DUNAEVA, VALERIY K. TOKHTAR, and MARTYNOVА NATAL'YA A. 2020. “ASSESSMENT ALGORITHM FOR IN THE COPPICE OAK FORESTS OF THE SOUTHWEST CENTRAL RUSSIAN UPLAND”. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY 21 (21-22):16-20. https://www.ikprress.org/index.php/PCBMB/article/view/5268.

Downloads

Download data is not yet available.