Skip to main content Skip to main navigation menu Skip to site footer
  • Register
  • Login
  • Menu
  • Home
  • Current
  • Archives
  • Announcements
  • About
    • About the Journal
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  • Register
  • Login

Ecological Questions

Additive allometric model of Quercus spp. stand biomass for Eurasia
  • Home
  • /
  • Additive allometric model of Quercus spp. stand biomass for Eurasia
  1. Home /
  2. Archives /
  3. Vol. 31 No. 2 (2020) /
  4. Articles

Additive allometric model of Quercus spp. stand biomass for Eurasia

Authors

  • Vladimir Andreevich Usoltsev Ural State Forest Engineering University, 620100 Yekaterinburg, Sibirskiy Trakt, 37 Botanical Garden of Ural Branch of RAS, 620144 Yekaterinburg, 8 Marta Str., 202а
  • Seyed Omid Reza Shobairi Nanjing University of Information Science and Technology, No.219, Ningliu Road, Nanjing, Jiangsu
  • Viktor Petrovich Chasovskikh Ural State Forest Engineering University, 620100 Yekaterinburg, Sibirskiy Trakt, 37

DOI:

https://doi.org/10.12775/EQ.2020.012

Keywords

model’s harmonizing, dummy variables, biological productivity, biomass of forests, genus Quercus, sample plots

Abstract

When using the unique in terms of the volume of database on the level of stand of the genus Quercus, the trans-Eurasian additive allometric models of biomass of stands for Eurasian Quercus forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of forest biomass of Quercus is harmonized in two ways: it eliminated the internal contradictions of the component and the total biomass equations, and in addition, it takes into account regional differences of forest stands not only on total, aboveground and underground biomass, but also on its component structure, i.e. it reflects the regional peculiarities of the component structure of biomass.

References

Baskerville G.L., 1972, Use of logarithmic regression in the estimation of plant biomass. Canadian Journal of Forest Research 2: 49-53.

Bi H., Long Y., Turner J., Lei Y., Snowdon P., Li Y., Harper R., Zerihun A. & Ximenes F., 2010, Additive prediction of aboveground biomass for Pinus radiata (D. Don) plantations. Forest Ecology and Management 259: 2301-2314.

Budyko М.I., 1977, Global ecology. “Mysl” Publishing, Moscow, 328 pp.

De-Miguel S., Mehtätalo L. & Durkaya A., 2014, Developing generalized, calibratable, mixed-effects meta-models for large-scale biomass prediction. Canadian Journal of Forest Research 44: 648-656.

Dong L., Zhang L. & Li F., 2015, A three-step proportional weighting system of nonlinear biomass equations. Forest Science 61(1): 35-45.

Fu L.Y., Zeng W.S., Tang S.Z., Sharma R.P. & Li H.K., 2012, Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales – A case study for Masson pine in Southern China. Journal of Forest Science 58(3): 101-115.

Jacobs M.W. & Cunia T., 1980, Use of dummy variables to harmonize tree biomass tables. Canadian Journal of Forest Research 10(4): 483-490.

Tang S., Zhang H. & Xu H., 2000, Study on establish and estimate method of compatible biomass model. Scientia Silvae Sinica 36: 19-27 (in Chinese with English abstract).

Usoltsev V.A., 1989, Recurrent regression system as a base for tree and stand biomass tables, [in:] Proceedings of the IUFRO Project Group P3.05-00 Meeting “Harvesting and utilization of tree foliage”, Riga, 217-245 pp. Available from: LVMI Silava: Rīgas iela 111, Salaspils LV-2169 Latvia.

Usoltsev V.A., 2010, Eurasian forest biomass and primary production data. Ural Branch of Russian Academy of Sciences, Yekaterinburg, 574 pp. http://elar.usfeu.ru/handle/123456789/2606

Usoltsev V.A., 2013, Forest biomass and primary production database for Eurasia. CD-version. The second edition, enlarged and re-harmonized. Ural State Forest Engineering University, Yekaterinburg. http://elar.usfeu.ru/handle/123456789/3059

World Flora Online. An Outline Flora of All Known Plants. http://www.worldfloraonline.org

Downloads

  • PDF

Published

2020-04-21

How to Cite

1.
ANDREEVICH USOLTSEV, Vladimir, REZA SHOBAIRI, Seyed Omid and PETROVICH CHASOVSKIKH, Viktor. Additive allometric model of Quercus spp. stand biomass for Eurasia. Ecological Questions. Online. 21 April 2020. Vol. 31, no. 2, pp. 39-46. [Accessed 20 May 2025]. DOI 10.12775/EQ.2020.012.
  • ISO 690
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Issue

Vol. 31 No. 2 (2020)

Section

Articles

Stats

Number of views and downloads: 575
Number of citations: 0

Search

Search

Browse

  • Browse Author Index
  • Issue archive

User

User

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

Information

  • For Readers
  • For Authors
  • For Librarians

Newsletter

Subscribe Unsubscribe

Tags

Search using one of provided tags:

model’s harmonizing, dummy variables, biological productivity, biomass of forests, genus Quercus, sample plots
Up

Akademicka Platforma Czasopism

Najlepsze czasopisma naukowe i akademickie w jednym miejscu

apcz.umk.pl

Partners

  • Akademia Ignatianum w Krakowie
  • Akademickie Towarzystwo Andragogiczne
  • Fundacja Copernicus na rzecz Rozwoju Badań Naukowych
  • Instytut Historii im. Tadeusza Manteuffla Polskiej Akademii Nauk
  • Instytut Kultur Śródziemnomorskich i Orientalnych PAN
  • Instytut Tomistyczny
  • Karmelitański Instytut Duchowości w Krakowie
  • Ministerstwo Kultury i Dziedzictwa Narodowego
  • Państwowa Akademia Nauk Stosowanych w Krośnie
  • Państwowa Akademia Nauk Stosowanych we Włocławku
  • Państwowa Wyższa Szkoła Zawodowa im. Stanisława Pigonia w Krośnie
  • Polska Fundacja Przemysłu Kosmicznego
  • Polskie Towarzystwo Ekonomiczne
  • Polskie Towarzystwo Ludoznawcze
  • Towarzystwo Miłośników Torunia
  • Towarzystwo Naukowe w Toruniu
  • Uniwersytet im. Adama Mickiewicza w Poznaniu
  • Uniwersytet Komisji Edukacji Narodowej w Krakowie
  • Uniwersytet Mikołaja Kopernika
  • Uniwersytet w Białymstoku
  • Uniwersytet Warszawski
  • Wojewódzka Biblioteka Publiczna - Książnica Kopernikańska
  • Wyższe Seminarium Duchowne w Pelplinie / Wydawnictwo Diecezjalne „Bernardinum" w Pelplinie

© 2021- Nicolaus Copernicus University Accessibility statement Shop