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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/QJ1220316" target="_blank" >QJ1220316: Hodnocení očekávaných změn v růstu a mortalitě lesních porostů, dopadů na produkční funkci lesů ČR a návrh adaptační stratégie</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of Forest Science

ISSN

1212-4834

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

108-117

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85045205875