Modelling a system of nonlinear additive crown width models applying seemingly unrelated regression for Prince Rupprecht larch in northern China
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A72131" target="_blank" >RIV/60460709:41320/17:72131 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.foreco.2016.11.038" target="_blank" >http://dx.doi.org/10.1016/j.foreco.2016.11.038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.foreco.2016.11.038" target="_blank" >10.1016/j.foreco.2016.11.038</a>
Alternative languages
Result language
angličtina
Original language name
Modelling a system of nonlinear additive crown width models applying seemingly unrelated regression for Prince Rupprecht larch in northern China
Original language description
Crown width (CW) is an arithmetic mean of two diameters perpendicular to each other and obtained from measurements of four crown radii (crown components) consisting of east, west, south and north crown width. CW is one of the important tree variables in forest growth and yield modelling, and forest management. An accurate approach of obtaining crown measurements can lead to a high accuracy of prediction. Since the additivity properties of CW components and their inherent correlations have not been addressed so far, in this study we introduced a nonlinear seemingly unrelated regression (NSUR) emphasizing the additivity and inherent correlations to develop a system of CW models. We used a large dataset from a total of 3369 Prince Rupprecht larch (Larix principis-rupprechtii Mayr.) trees within 116 permanent sample plots allocated in northern China. The results from NSUR were compared with those from two commonly used additive approaches: adjustment in proportion (AP) and ordinary least square with sepa
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Forest Ecology and Management
ISSN
0378-1127
e-ISSN
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Volume of the periodical
386
Issue of the periodical within the volume
FEB
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
71-80
UT code for WoS article
000392781300007
EID of the result in the Scopus database
2-s2.0-85007140100