All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Parameterisation of allometric equations for quantifying aboveground biomass of Norway spruce (Picea abies (L.) H. Karst.) in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A76453" target="_blank" >RIV/60460709:41320/18:76453 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.17221/61/2017-JFS" target="_blank" >http://dx.doi.org/10.17221/61/2017-JFS</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/61/2017-JFS" target="_blank" >10.17221/61/2017-JFS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parameterisation of allometric equations for quantifying aboveground biomass of Norway spruce (Picea abies (L.) H. Karst.) in the Czech Republic

  • Original language description

    The aim of the present study was to develop allometric equations for predicting aboveground biomass of Norway spruce (Picea abies (Linnaeus) H. Karsten) applicable to the typically managed spruce forest on acidic and nutrient-medium sites in the Czech Republic. The models were based on an extensive data set of 139 spruce trees collected in 25 stands on 15 sites. The biomass in dry mass was modelled using linear regression equations with one (diameter at breast height-D), two (D, slenderness ratio-H D) or three (D, H D, site index-SI, or tree age-A) predictors. The models were validated using the leave-one-out method. The value of the root mean square error of cross-validation was chosen as the main criterion for the best-model selection. Both the total aboveground biomass and stem biomass were best predicted by three-variable models (D, H D, SI). For crown and foliage biomass the simple one-variable model (D) is recommended.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/QJ1220316" target="_blank" >QJ1220316: Assessment of expected changes in growth and mortality of forest stands, impacts on forest production in the Czech Republic, and proposal of adaptation strategy</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Forest Science

  • ISSN

    1212-4834

  • e-ISSN

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    108-117

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85045205875