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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal
Original language description
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
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GK - Forestry
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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