A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A75438" target="_blank" >RIV/60460709:41320/17:75438 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.foreco.2016.12.034" target="_blank" >http://dx.doi.org/10.1016/j.foreco.2016.12.034</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.foreco.2016.12.034" target="_blank" >10.1016/j.foreco.2016.12.034</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China

Popis výsledku v původním jazyce

Crown width is a tree variable that is commonly used as an important predictor in forest growth and yield models that serve as decision-support tools in forestry. Here, we developed a generalized interregional nonlinear mixed-effects individual tree crown width model using data from 3369 Prince Rupprecht larch (Larix principis-rupprechtii Mayr.) trees on 116 sample plots that were distributed across the two most important regions in northern China. Because measurements from the same sample plot were highly correlated with each other, random effects at the levels of both sample plots and stands with different site conditions (blocks) were used to develop a two-level nonlinear mixed-effects crown width model. To describe the interregional variability of crown width between the regions, a dummy variable, which accounts for region-specific differences, was introduced into the model. The results showed that the two-level interregional nonlinear mixed-effects crown width model accurately described the regi

Název v anglickém jazyce

A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China

Popis výsledku anglicky

Crown width is a tree variable that is commonly used as an important predictor in forest growth and yield models that serve as decision-support tools in forestry. Here, we developed a generalized interregional nonlinear mixed-effects individual tree crown width model using data from 3369 Prince Rupprecht larch (Larix principis-rupprechtii Mayr.) trees on 116 sample plots that were distributed across the two most important regions in northern China. Because measurements from the same sample plot were highly correlated with each other, random effects at the levels of both sample plots and stands with different site conditions (blocks) were used to develop a two-level nonlinear mixed-effects crown width model. To describe the interregional variability of crown width between the regions, a dummy variable, which accounts for region-specific differences, was introduced into the model. The results showed that the two-level interregional nonlinear mixed-effects crown width model accurately described the regi

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Forest Ecology and Management

ISSN

0378-1127

e-ISSN

—

Svazek periodika

389

Číslo periodika v rámci svazku

APR

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

364-373

Kód UT WoS článku

000398868800036

EID výsledku v databázi Scopus

2-s2.0-85009821263