Generalized Nonlinear Mixed-Effects Individual Tree Crown Ratio Models for Norway Spruce and European Beech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A77698" target="_blank" >RIV/60460709:41320/18:77698 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3390/f9090555" target="_blank" >http://dx.doi.org/10.3390/f9090555</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f9090555" target="_blank" >10.3390/f9090555</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Generalized Nonlinear Mixed-Effects Individual Tree Crown Ratio Models for Norway Spruce and European Beech

Popis výsledku v původním jazyce

Tree crowns are commonly measured to understand tree growth and stand dynamics. Crown ratio (CR-crown depth-to-total height ratio) is significantly affected by a number of tree- and stand-level characteristics and other factors as well. Generalized mixed-effects CR models were developed using a large dataset (measurements from 14,669 trees of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica (L.)) acquired from permanent research plots in various parts of the Czech Republic. Among several tree- and stand-level variables evaluated, diameter at breast height, height to crown base, dominant height, basal area of trees larger in diameter than a focal tree, relative spacing index, and variables describing the effects of species mixture and canopy height differentiation significantly contributed to CR variation. We included sample-plot-level variations caused by randomness in the data and other stochastic factors into the CR models using the mixed-effects modeling approach. The lo

Název v anglickém jazyce

Generalized Nonlinear Mixed-Effects Individual Tree Crown Ratio Models for Norway Spruce and European Beech

Popis výsledku anglicky

Tree crowns are commonly measured to understand tree growth and stand dynamics. Crown ratio (CR-crown depth-to-total height ratio) is significantly affected by a number of tree- and stand-level characteristics and other factors as well. Generalized mixed-effects CR models were developed using a large dataset (measurements from 14,669 trees of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica (L.)) acquired from permanent research plots in various parts of the Czech Republic. Among several tree- and stand-level variables evaluated, diameter at breast height, height to crown base, dominant height, basal area of trees larger in diameter than a focal tree, relative spacing index, and variables describing the effects of species mixture and canopy height differentiation significantly contributed to CR variation. We included sample-plot-level variations caused by randomness in the data and other stochastic factors into the CR models using the mixed-effects modeling approach. The lo

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/EF15_003%2F0000433" target="_blank" >EF15_003/0000433: Vybudování excelentního vědeckého týmu na FLD ČZU v Praze a jeho přístrojově-technického zázemí zaměřeného na mitigaci důsledků klimatických změn v lesích (od úrovně genů po úroveň krajiny)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

FORESTS

ISSN

1999-4907

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

19

Strana od-do

1-19

Kód UT WoS článku

000448398100051

EID výsledku v databázi Scopus

2-s2.0-85053632773