Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F15%3A69538" target="_blank" >RIV/60460709:41320/15:69538 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.17221/51/2015-JFS" target="_blank" >http://dx.doi.org/10.17221/51/2015-JFS</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/51/2015-JFS" target="_blank" >10.17221/51/2015-JFS</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal

Popis výsledku v původním jazyce

The individual tree growth models are important decision-making tools in forestry. Age dependent and age independent individual tree basal area growth models were developed for Chir pine (Pinus roxberghii Sarg.) in one of the western districts, Rukum district, in Nepal. Data from thirty-five destructively sampled trees, which were representative of all possible stand densities, site productivities, age classes, and size classes of Chir pine forests in the district, were used. Sample trees were felled and diameters and ages were measured on the cut surface of the stump (at 30 cm above the ground). Since measurements from the same stump of a tree were strongly correlated, the autoregressive error structure modelling approach was applied while specifyingthe model in order to reduce bias. All parameter estimates of the models were significant (P < 0. 01) and the models described most of the variations of basal area growth (R2 adj 0.86). Residual graphs showed no serious systematic bias fo

Název v anglickém jazyce

Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal

Popis výsledku anglicky

The individual tree growth models are important decision-making tools in forestry. Age dependent and age independent individual tree basal area growth models were developed for Chir pine (Pinus roxberghii Sarg.) in one of the western districts, Rukum district, in Nepal. Data from thirty-five destructively sampled trees, which were representative of all possible stand densities, site productivities, age classes, and size classes of Chir pine forests in the district, were used. Sample trees were felled and diameters and ages were measured on the cut surface of the stump (at 30 cm above the ground). Since measurements from the same stump of a tree were strongly correlated, the autoregressive error structure modelling approach was applied while specifyingthe model in order to reduce bias. All parameter estimates of the models were significant (P < 0. 01) and the models described most of the variations of basal area growth (R2 adj 0.86). Residual graphs showed no serious systematic bias fo

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

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

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Svazek periodika

61

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

535-543

Kód UT WoS článku

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EID výsledku v databázi Scopus

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